Wed, 22 May 2019

New package predictrace with initial version 1.0.0
Package: predictrace
Title: Predict the Race of a Given Surname Using Census Data
Version: 1.0.0
Authors@R: person(given = "Jacob", family = "Kaplan", role = c("aut", "cre"), email = "jkkaplan6@gmail.com", comment = c(ORCID = "0000-0002-0601-0387"))
Description: Predicts the most common race of a surname based on U.S. Census data.
Depends: R (>= 2.10)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 2.1.0), covr, spelling
VignetteBuilder: knitr
Imports: dplyr, tidyr, here
RoxygenNote: 6.1.1
Language: en-US
NeedsCompilation: no
Packaged: 2019-05-10 16:42:36 UTC; user
Author: Jacob Kaplan [aut, cre] (<https://orcid.org/0000-0002-0601-0387>)
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-22 07:50:03 UTC

More information about predictrace at CRAN
Permanent link

Tue, 21 May 2019

New package biomartr with initial version 0.9.0
Package: biomartr
Title: Genomic Data Retrieval
Version: 0.9.0
Authors@R: person("Hajk-Georg", "Drost", role = c("aut", "cre"), email = "hgd23@cam.ac.uk", comment = c(ORCID = "http://orcid.org/0000-0002-1567-306X"))
Description: Perform large scale genomic data retrieval and functional annotation retrieval. This package aims to provide users with a standardized way to automate genome, proteome, 'RNA', coding sequence ('CDS'), 'GFF', and metagenome retrieval from 'NCBI RefSeq', 'NCBI Genbank', 'ENSEMBL', 'ENSEMBLGENOMES', and 'UniProt' databases. Furthermore, an interface to the 'BioMart' database (Smedley et al. (2009) <doi:10.1186/1471-2164-10-22>) allows users to retrieve functional annotation for genomic loci. In addition, users can download entire databases such as 'NCBI RefSeq' (Pruitt et al. (2007) <doi:10.1093/nar/gkl842>), 'NCBI nr', 'NCBI nt', 'NCBI Genbank' (Benson et al. (2013) <doi:10.1093/nar/gks1195>), etc. as well as 'ENSEMBL' and 'ENSEMBLGENOMES' with only one command.
VignetteBuilder: knitr
NeedsCompilation: yes
Depends: R (>= 3.1.1)
Imports: biomaRt, Biostrings, curl, tibble, jsonlite, data.table (>= 1.9.4), dplyr (>= 0.3.0), readr (>= 0.2.2), downloader (>= 0.3), RCurl (>= 1.95-4.5), XML (>= 3.98-1.1), httr (>= 0.6.1), stringr (>= 0.6.2), purrr, R.utils, philentropy, fs
Suggests: knitr (>= 1.6), rmarkdown (>= 0.3.3), devtools (>= 1.6.1), testthat, seqinr, magrittr
License: GPL-2
LazyData: true
URL: https://github.com/ropensci/biomartr
BugReports: https://github.com/ropensci/biomartr/issues
RoxygenNote: 6.1.1
Encoding: UTF-8
X-schema.org-keywords: BioMart, genomic-data-retrieval, annotation-retrieval, database-retrieval, NCBI, ENSEMBL, biological-data-retrieval
X-schema.org-applicationCategory: Data Access
X-schema.org-isPartof: "ropensci.org"
Packaged: 2019-05-21 16:38:57 UTC; h-gd
Author: Hajk-Georg Drost [aut, cre] (<https://orcid.org/0000-0002-1567-306X>)
Maintainer: Hajk-Georg Drost <hgd23@cam.ac.uk>
Repository: CRAN
Date/Publication: 2019-05-21 17:40:02 UTC

More information about biomartr at CRAN
Permanent link

New package planor with initial version 1.5-1
Package: planor
Type: Package
Title: Generation of Regular Factorial Designs
Version: 1.5-1
Date: 2019-05-19
Author: Hervé Monod [aut, cre], Annie Bouvier [aut], André Kobilinsky [aut], INRA [cph] (Institut National de la Recherche Agronomique, France)
Maintainer: Hervé Monod <herve.monod@inra.fr>
Authors@R: c(person("Hervé", "Monod", role = c("aut", "cre"), email = "herve.monod@inra.fr"), person("Annie", "Bouvier", role = "aut"), person("André", "Kobilinsky", role = "aut"), person("INRA", role = "cph", comment = "Institut National de la Recherche Agronomique, France"))
Description: Automatic generation of regular factorial designs, including fractional designs, orthogonal block designs, row-column designs and split-plots.
License: GPL (>= 2)
Imports: stats, conf.design, utils, bit64, Rcpp (>= 0.12.7)
LinkingTo: Rcpp, RcppArmadillo
Depends: methods
Collate: zzz.R generic.R designfactors.R keymatrix.R keyring.R listofkeyrings.R planor.R basep.R randomize.R designkey.R listofdesignkeys.R planordesign.R makedesignkey.R
Encoding: UTF-8
URL: http://genome.jouy.inra.fr/logiciels/planor
NeedsCompilation: yes
Packaged: 2019-05-19 21:36:21 UTC; hmonod
Repository: CRAN
Date/Publication: 2019-05-21 08:50:03 UTC

More information about planor at CRAN
Permanent link

New package SEMID with initial version 0.3.2
Package: SEMID
Type: Package
Title: Identifiability of Linear Structural Equation Models
Version: 0.3.2
Date: 2019-5-18
Authors@R: c(person("Rina", "Foygel Barber", role=c("aut"), email="rina@uchicago.edu"), person("Mathias", "Drton", role=c("aut"), email="md5@uw.edu"), person("Luca", "Weihs", role=c("cre","aut"), email="lucaw@uw.edu"))
Maintainer: Luca Weihs <lucaw@uw.edu>
Description: Provides routines to check identifiability or non-identifiability of linear structural equation models as described in Drton, Foygel, and Sullivant (2011) <DOI:10.1214/10-AOS859>, Foygel, Draisma, and Drton (2012) <DOI:10.1214/12-AOS1012>, and other works. The routines are based on the graphical representation of structural equation models by a path diagram/mixed graph.
License: GPL (>= 2)
URL: https://github.com/Lucaweihs/SEMID
BugReports: https://github.com/Lucaweihs/SEMID/issues
Imports: R.oo (>= 1.20.0), R.methodsS3, igraph (>= 1.0.1), R.utils (>= 2.3.0)
Suggests: testthat
NeedsCompilation: no
Repository: CRAN
RoxygenNote: 6.1.1
Packaged: 2019-05-18 23:12:24 UTC; lucaweihs
Author: Rina Foygel Barber [aut], Mathias Drton [aut], Luca Weihs [cre, aut]
Date/Publication: 2019-05-21 07:30:11 UTC

More information about SEMID at CRAN
Permanent link

New package collector with initial version 0.1.2
Package: collector
Title: Quantified Risk Assessment Data Collection
Version: 0.1.2
Authors@R: person("David", "Severski", email = "davidski@deadheaven.com", role = c("aut", "cre"), comment = c(ORCID ="0000-0001-7867-0459"))
Description: An open source process for collecting quantified data inputs from subject matter experts. Intended for feeding into an OpenFAIR analysis <https://www2.opengroup.org/ogsys/catalog/C13K> using a tool such as 'evaluator' <https://evaluator.tidyrisk.org>.
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: EnvStats, dplyr, evaluator (>= 0.4.0), flextable, ggplot2, ggpubr, magrittr, purrr, quanteda, readr, rlang, rmarkdown, stringr, tibble, tidyr, officer, xaringan
Suggests: spelling, testthat, covr, knitr
SystemRequirements: pandoc
URL: https://collector.tidyrisk.org
BugReports: https://github.com/davidski/collector/issues
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-21 02:49:36 UTC; dseversk
Author: David Severski [aut, cre] (<https://orcid.org/0000-0001-7867-0459>)
Maintainer: David Severski <davidski@deadheaven.com>
Repository: CRAN
Date/Publication: 2019-05-21 07:30:03 UTC

More information about collector at CRAN
Permanent link

New package datarium with initial version 0.1.0
Package: datarium
Type: Package
Title: Data Bank for Statistical Analysis and Visualization
Version: 0.1.0
Date: 2019-05-19
Authors@R: c( person("Alboukadel", "Kassambara", role = c("aut", "cre"), email = "alboukadel.kassambara@gmail.com"))
Description: Contains data organized by topics: categorical data, regression model, means comparisons, independent and repeated measures ANOVA, mixed ANOVA and ANCOVA.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.0)
BugReports: https://github.com/kassambara/datarium/issues
RoxygenNote: 6.1.1
Suggests: knitr
NeedsCompilation: no
Packaged: 2019-05-19 14:35:12 UTC; kassambara
Author: Alboukadel Kassambara [aut, cre]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-21 07:00:07 UTC

More information about datarium at CRAN
Permanent link

Mon, 20 May 2019

New package mdsr with initial version 0.1.7
Package: mdsr
Title: Complement to 'Modern Data Science with R'
Version: 0.1.7
Date: 2019-05-20
Authors@R: c( person("Ben", "Baumer", email = "ben.baumer@gmail.com", role = c("aut", "cre")), person("Nicholas", "Horton", email = "nhorton@amherst.edu", role = "aut"), person("Daniel", "Kaplan", email = "kaplan@macalester.edu", role = "aut"))
Description: A complement to *Modern Data Science with R* (ISBN: 978-1498724487, publisher URL: <https://www.crcpress.com/Modern-Data-Science-with-R/Baumer-Kaplan-Horton/p/book/9781498724487>). This package contains all of the data and code necessary to complete exercises and reproduce examples from the text. It also facilitates connections to the SQL database server used in the book.
Depends: R (>= 3.2.0)
License: CC0
LazyData: true
Imports: babynames, DBI, dbplyr, downloader, dplyr, fs, ggplot2, mosaic, RMySQL
Suggests: knitr, Lahman, etl, macleish, lubridate, sp, testthat
RoxygenNote: 6.1.1
Encoding: UTF-8
URL: http://github.com/beanumber/mdsr
BugReports: https://github.com/beanumber/mdsr/issues
NeedsCompilation: no
Packaged: 2019-05-20 18:30:59 UTC; bbaumer
Author: Ben Baumer [aut, cre], Nicholas Horton [aut], Daniel Kaplan [aut]
Maintainer: Ben Baumer <ben.baumer@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-20 19:20:03 UTC

More information about mdsr at CRAN
Permanent link

New package grattan with initial version 1.7.1.2
Package: grattan
Type: Package
Title: Australian Tax Policy Analysis
Version: 1.7.1.2
Date: 2019-05-01
Authors@R: c(person("Hugh", "Parsonage", role = c("aut", "cre"), email = "hugh.parsonage@gmail.com"), person("Tim", "Cameron", role = "aut"), person("Brendan", "Coates", role = "aut"), person("Matthew", "Katzen", role = "aut"), person("William", "Young", role = "aut"), person("Ittima", "Cherastidtham", role = "dtc"), person("W.", "Karsten", role = "ctb"), person("M.", "Enrique Garcia", role = "ctb"), person("Matt", "Cowgill", role = "aut"))
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>
URL: https://github.com/HughParsonage/grattan, https://hughparsonage.github.io/grattan/
BugReports: https://github.com/HughParsonage/grattan/issues
Description: Utilities for costing and evaluating Australian tax policy, including high-performance tax and transfer calculators, a fast method of projecting tax collections, and an interface to common indices from the Australian Bureau of Statistics. Written to support Grattan Institute's Australian Perspectives program. For access to the 'taxstats' package, please run install.packages("taxstats", repos = "https://hughparsonage.github.io/tax-drat/", type = "source"). N.B. The 'taxstats' package is approximately 50 MB.
Depends: R (>= 3.5.0)
License: GPL-2
Imports: data.table, hutils (>= 1.3.0), ineq (>= 0.2-10), rsdmx, fastmatch, forecast, assertthat (>= 0.1), magrittr (>= 1.5), Rcpp (>= 0.12.3), utils, zoo (>= 1.5-5)
LinkingTo: Rcpp
RoxygenNote: 6.1.1
Suggests: curl, dplyr, dtplyr, fst (>= 0.8.4), future, future.apply, ggplot2, ggrepel, knitr, lattice, mgcv, rlang, rmarkdown, scales, survey, taxstats, taxstats1516, testthat, tibble, viridis, yaml, withr, covr
Additional_repositories: https://hughparsonage.github.io/tax-drat/
LazyData: true
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-05-20 16:24:07 UTC; hughp
Author: Hugh Parsonage [aut, cre], Tim Cameron [aut], Brendan Coates [aut], Matthew Katzen [aut], William Young [aut], Ittima Cherastidtham [dtc], W. Karsten [ctb], M. Enrique Garcia [ctb], Matt Cowgill [aut]
Repository: CRAN
Date/Publication: 2019-05-20 18:00:03 UTC

More information about grattan at CRAN
Permanent link

New package changepoint.np with initial version 1.0.1
Package: changepoint.np
Type: Package
Title: Methods for Nonparametric Changepoint Detection
Version: 1.0.1
Date: 2019-05-20
Authors@R: c(person("Kaylea","Haynes",email="k.haynes1@lancaster.ac.uk",role=c("aut")),person("Rebecca","Killick",email="r.killick@lancaster.ac.uk",role=c("aut")),person("Paul","Fearnhead",email="p.fearnhead@lancaster.ac.uk",role=c("ths","ctb")),person("Idris","Eckley",email="i.eckley@lancaster.ac.uk",role=c("ths")),person("Daniel","Grose",email="changepoints@lancaster.ac.uk",role=c("ctb","cre")))
Description: Implements the multiple changepoint algorithm PELT with a nonparametric cost function based on the empirical distribution of the data. This package extends the changepoint package (see Killick, R and Eckley, I (2014) <doi:10.18637/jss.v058.i03> ).
Depends: changepoint
RdMacros: Rdpack
Imports: methods,zoo,Rdpack
License: GPL
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-05-20 11:42:05 UTC; grosedj
Author: Kaylea Haynes [aut], Rebecca Killick [aut], Paul Fearnhead [ths, ctb], Idris Eckley [ths], Daniel Grose [ctb, cre]
Maintainer: Daniel Grose <changepoints@lancaster.ac.uk>
Repository: CRAN
Date/Publication: 2019-05-20 14:10:10 UTC

More information about changepoint.np at CRAN
Permanent link

New package mastif with initial version 1.0
Package: mastif
Type: Package
Title: Mast Inference and Forecasting
Version: 1.0
Date: 2019-5-13
Author: James S. Clark
Maintainer: James S. Clark <jimclark@duke.edu>
Description: Analyzes production and dispersal of seeds dispersed from trees and recovered in seed traps. Motivated by long-term inventory plots where seed collections are used to infer seed production by each individual plant.
License: GPL (>= 2)
Imports: Rcpp (>= 0.11.5), RANN, corrplot, xtable, repmis
Depends: R (>= 2.10)
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-05-18 15:57:46 UTC; jimclark
Repository: CRAN
Date/Publication: 2019-05-20 10:20:04 UTC

More information about mastif at CRAN
Permanent link

New package tidycode with initial version 0.1.0
Package: tidycode
Type: Package
Title: Analyze Lines of R Code the Tidy Way
Version: 0.1.0
Authors@R: c( person("Lucy", "D'Agostino McGowan", email = "lucydagostino@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7297-9359")), person("Jim", "Hester", email = "james.f.hester@gmail.com", role = "ctb"), person("Jeff", "Leek", email = "jtleek@gmail.com", role = c("ldr")) )
Description: Analyze lines of R code using tidy principles. This allows you to input lines of R code and output a data frame with one row per function included. Additionally, it facilitates code classification via included lexicons.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: purrr, pryr, tibble, rlang, glue, matahari
URL: https://github.com/LucyMcGowan/tidycode
BugReports: https://github.com/LucyMcGowan/tidycode/issues
Suggests: testthat, covr, knitr, rmarkdown, dplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-17 23:52:37 UTC; lucymcgowan
Author: Lucy D'Agostino McGowan [aut, cre] (<https://orcid.org/0000-0001-7297-9359>), Jim Hester [ctb], Jeff Leek [ldr]
Maintainer: Lucy D'Agostino McGowan <lucydagostino@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-20 09:10:03 UTC

More information about tidycode at CRAN
Permanent link

New package fgeo.plot with initial version 1.1.6
Package: fgeo.plot
Title: Plot ForestGEO Data
Version: 1.1.6
Authors@R: c(person(given = "Mauro", family = "Lepore", role = c("aut", "ctr", "cre"), email = "leporem@si.edu", comment = c(ORCID = "0000-0002-1986-7988")), person(given = "CTFS-ForestGEO", role = c("cph", "fnd"), email = "ForestGEO@si.edu"))
Description: To help you access, transform, analyze, and visualize ForestGEO data, we developed a collection of R packages (<https://forestgeo.github.io/fgeo/>). This package, in particular, helps you to plot ForestGEO data. To learn more about ForestGEO visit <http://www.forestgeo.si.edu/>.
License: GPL-3
URL: https://github.com/forestgeo/fgeo.plot, https://forestgeo.github.io/fgeo.plot/
BugReports: https://github.com/forestgeo/fgeo.plot/issues
Depends: R (>= 3.2)
Imports: dplyr (>= 0.8.0.1), fgeo.tool (>= 1.2.4), ggplot2 (>= 3.1.1), ggrepel (>= 0.8.1), glue (>= 1.3.1), magrittr (>= 1.5), purrr (>= 0.3.2), rlang (>= 0.3.4), stats, stringr (>= 1.4.0)
Suggests: covr (>= 3.2.1), fgeo.x (>= 1.1.3), gridExtra (>= 2.3), knitr (>= 1.22), rmarkdown (>= 1.12), spelling (>= 2.1), testthat (>= 2.1.1)
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-17 21:03:14 UTC; LeporeM
Author: Mauro Lepore [aut, ctr, cre] (<https://orcid.org/0000-0002-1986-7988>), CTFS-ForestGEO [cph, fnd]
Maintainer: Mauro Lepore <leporem@si.edu>
Repository: CRAN
Date/Publication: 2019-05-20 09:10:07 UTC

More information about fgeo.plot at CRAN
Permanent link

New package cleancall with initial version 0.1.0
Package: cleancall
Title: C Resource Cleanup via Exit Handlers
Version: 0.1.0
Authors@R: c( person("Lionel", "Henry", ,"lionel@rstudio.com", c("aut")), person("Gábor", "Csárdi", role = c("aut", "cre"), email = "csardi.gabor@gmail.com", comment = c(ORCID = "0000-0001-7098-9676")), person("RStudio", role = "cph") )
Description: Wrapper of .Call() that runs exit handlers to clean up C resources. Helps managing C (non-R) resources while using the R API.
URL: https://github.com/r-lib/cleancall#readme
BugReports: https://github.com/r-lib/cleancall/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: covr, testthat
Depends: R (>= 3.1)
NeedsCompilation: yes
Packaged: 2019-05-17 17:00:20 UTC; gaborcsardi
Author: Lionel Henry [aut], Gábor Csárdi [aut, cre] (<https://orcid.org/0000-0001-7098-9676>), RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-20 10:00:04 UTC

More information about cleancall at CRAN
Permanent link

New package semTable with initial version 1.3
Package: semTable
Type: Package
Title: Structural Equation Modeling Tables
Version: 1.3
Date: 2019-05-17
Authors@R: c(person("Paul","Johnson",email="pauljohn@ku.edu",role = c("aut", "cre")), person("Benjamin","Kite",email="bakite@ku.edu",role="aut"))
Maintainer: Paul Johnson <pauljohn@ku.edu>
Description: For confirmatory factor analysis ('CFA') and structural equation models ('SEM') estimated with the 'lavaan' package, this package provides functions to create model summary tables and model comparison tables for hypothesis testing. Tables can be produced in 'LaTeX', 'HTML', or comma separated variables ('CSV').
License: GPL-2
Depends: R (>= 3.0)
Imports: stats, utils, kutils, xtable, lavaan, plyr, stationery
Suggests: rockchalk
RoxygenNote: 6.1.1
LazyData: TRUE
VignetteBuilder: stationery
NeedsCompilation: no
Packaged: 2019-05-17 16:59:21 UTC; pauljohn
Author: Paul Johnson [aut, cre], Benjamin Kite [aut]
Repository: CRAN
Date/Publication: 2019-05-20 08:30:03 UTC

More information about semTable at CRAN
Permanent link

New package recorder with initial version 0.8.0
Package: recorder
Title: Toolkit to Validate New Data for a Predictive Model
Version: 0.8.0
Authors@R: person(given = "Lars", family = "Kjeldgaard", role = c("aut", "cre"), email = "lars_kjeldgaard@hotmail.com")
Description: A lightweight toolkit to validate new observations when computing their predictions with a predictive model. The validation process consists of two steps: (1) record relevant statistics and meta data of the variables in the original training data for the predictive model and (2) use these data to run a set of basic validation tests on the new set of observations.
URL: https://github.com/smaakage85/recorder
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: data.table, crayon
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-14 14:40:26 UTC; w19799
Author: Lars Kjeldgaard [aut, cre]
Maintainer: Lars Kjeldgaard <lars_kjeldgaard@hotmail.com>
Repository: CRAN
Date/Publication: 2019-05-20 08:10:03 UTC

More information about recorder at CRAN
Permanent link

New package peRspective with initial version 0.1.0
Package: peRspective
Title: Interface to the 'Perspective' API
Version: 0.1.0
Authors@R: person("Fabio", "Votta", email = "fabio.votta@gmail.com", role = c("aut", "cre"))
Description: Interface to the 'Perspective' API, which can be found at the following URL: <https://github.com/conversationai/perspectiveapi#perspective-comment-analyzer-api>. The 'Perspective' API uses machine learning models to score the perceived impact a comment might have on a conversation (i.e. TOXICITY, INFLAMMATORY, etc.). 'peRspective' provides access to the API and returns tidy data frames with results of the specified machine learning model(s).
URL: https://github.com/favstats/peRspective
BugReports: https://github.com/favstats/peRspective
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: crayon, dplyr, glue, httr, jsonlite, magrittr, purrr, rlang, rlist, stringr, tibble
Suggests: testthat (>= 2.1.0), covr, badger
NeedsCompilation: no
Packaged: 2019-05-17 18:00:46 UTC; fabio
Author: Fabio Votta [aut, cre]
Maintainer: Fabio Votta <fabio.votta@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-20 08:40:02 UTC

More information about peRspective at CRAN
Permanent link

New package mc.heterogeneity with initial version 0.1.0
Package: mc.heterogeneity
Type: Package
Title: A Monte Carlo Based Heterogeneity Test for Meta-Analysis
Version: 0.1.0
Author: Han Du <hdu@psych.ucla.edu>, Zijun Ke <keziyun@mail.sysu.edu.cn>, Ge Jiang <gejiang2@illinois.edu>
Maintainer: Ge Jiang <gejiang2@illinois.edu>
Description: Implements a Monte Carlo Based Heterogeneity Test for standardized mean differences (d), Fisher-transformed Pearson's correlations (r), and natural-logarithm-transformed odds ratio (OR) in Meta-Analysis Studies. Depending on the presence of moderators, this Monte Carlo Based Test can be implemented in the random or mixed-effects model. This package uses rma() function from the R package 'metafor' to obtain parameter estimates and likelihood, so installation of R package 'metafor' is required.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 3.1.0)
Imports: stats, metafor, utils
Suggests: base, HSAUR2, roxygen2, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-17 18:45:01 UTC; gejiang
Repository: CRAN
Date/Publication: 2019-05-20 08:50:26 UTC

More information about mc.heterogeneity at CRAN
Permanent link

New package fgeo.analyze with initial version 1.1.10
Package: fgeo.analyze
Title: Analyze ForestGEO Data
Version: 1.1.10
Authors@R: c(person(given = "Mauro", family = "Lepore", role = c("aut", "ctr", "cre"), email = "leporem@si.edu", comment = c(ORCID = "0000-0002-1986-7988")), person(given = "Gabriel", family = "Arellano", role = c("aut", "rev"), email = "gabriel.arellano.torres@gmail.com"), person(given = "Richard", family = "Condit", role = "aut", email = "richardcondit@gmail.com"), person(given = "Matteo", family = "Detto", role = "aut", email = "teoparaglider@gmail.com"), person(given = "Kyle", family = "Harms", role = "aut", email = " kharms@lsu.edu"), person(given = "Suzanne", family = "Lao", role = c("aut", "rev"), email = "laoz@si.edu"), person(given = "KangMin", family = "Ngo", role = "rev", email = "ngokangmin@gmail.com"), person(given = "Haley", family = "Overstreet", role = "rev", email = "OverstreetH@si.edu"), person(given = "Sabrina", family = "Russo", role = c("aut", "rev"), email = "srusso2@unl.edu"), person(given = "Daniel", family = "Zuleta", role = c("aut", "rev"), email = "dfzuleta@gmail.com"), person(given = "CTFS-ForestGEO", role = "cph", email = "ForestGEO@si.edu"))
Description: To help you access, transform, analyze, and visualize ForestGEO data, we developed a collection of R packages (<https://forestgeo.github.io/fgeo/>). This package, in particular, helps you to implement analyses of plot species distributions, topography, demography, and biomass. It also includes a torus translation test to determine habitat associations of tree species as described by Zuleta et al. (2018) <doi:10.1007/s11104-018-3878-0>. To learn more about ForestGEO visit <http://www.forestgeo.si.edu/>.
License: GPL-3
URL: https://github.com/forestgeo/fgeo.analyze
BugReports: https://github.com/forestgeo/fgeo.analyze/issues
Depends: R (>= 3.2)
Imports: dplyr (>= 0.8.0.1), fgeo.tool (>= 1.2.4), glue (>= 1.3.1), graphics, lubridate (>= 1.7.4), magrittr (>= 1.5), MASS, purrr (>= 0.3.2), rlang (>= 0.3.4), stats, tibble (>= 2.1.1), tidyr (>= 0.8.3), withr (>= 2.1.2)
Suggests: covr (>= 3.2.1), fgeo.x (>= 1.1.3), ggplot2 (>= 3.1.1), knitr (>= 1.22), measurements (>= 1.3.0), readr (>= 1.3.1), rmarkdown (>= 1.12), spelling (>= 2.1), testthat (>= 2.1.1)
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-17 20:40:08 UTC; LeporeM
Author: Mauro Lepore [aut, ctr, cre] (<https://orcid.org/0000-0002-1986-7988>), Gabriel Arellano [aut, rev], Richard Condit [aut], Matteo Detto [aut], Kyle Harms [aut], Suzanne Lao [aut, rev], KangMin Ngo [rev], Haley Overstreet [rev], Sabrina Russo [aut, rev], Daniel Zuleta [aut, rev], CTFS-ForestGEO [cph]
Maintainer: Mauro Lepore <leporem@si.edu>
Repository: CRAN
Date/Publication: 2019-05-20 09:00:03 UTC

More information about fgeo.analyze at CRAN
Permanent link

New package algaeClassify with initial version 0.1.0
Package: algaeClassify
Title: Determine Phytoplankton Functional Groups Based on Functional Traits
Version: 0.1.0
Date: 2019-05-16
Authors@R: c(person("Vijay","Patil",email="vpatil@usgs.gov",role=c("aut","cre")), person("Torsten","Seltmann",role="aut"), person("Nico","Salmaso",role="ctb"), person("Orlane","Anneville",role="ctb"), person("Marc","Lajeunesse",role="ctb"))
Author: Vijay Patil [aut, cre], Torsten Seltmann [aut], Nico Salmaso [ctb], Orlane Anneville [ctb], Marc Lajeunesse [ctb]
Maintainer: Vijay Patil <vpatil@usgs.gov>
URL: http://github.com/vppatil/GEISHA_phytoplankton
BugReports: https://github.com/vppatil/GEISHA_phytoplankton/issues
Description: Functions designed to facilitate the assignment of morpho-functional group (MFG) classifications to phytoplankton species based on a combination of taxonomy (Class,Order) and a suite of 7 binomial functional traits. Classifications can also be made using only a species list and a database of trait-derived classifications included in the package. MFG classifications are derived from Salmaso et al. (2015) <doi:10.1111/fwb.12520> and this reference should be cited when using the package. The 'algaeClassify' package is a product of the GEISHA (Global Evaluation of the Impacts of Storms on freshwater Habitat and Structure of phytoplankton Assemblages), funded by CESAB (Centre for Synthesis and Analysis of Biodiversity) and the USGS John Wesley Powell Center, with data and other support provided by members of GLEON (Global Lake Ecology Observation Network). This software is preliminary or provisional and is subject to revision. It is being provided to meet the need for timely best science. The software has not received final approval by the U.S. Geological Survey (USGS). No warranty, expressed or implied, is made by the USGS or the U.S. Government as to the functionality of the software and related material nor shall the fact of release constitute any such warranty. The software is provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized on unauthorized use of the software.
Depends: R (>= 3.4.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-17 19:26:23 UTC; vpatil
Repository: CRAN
Date/Publication: 2019-05-20 08:51:00 UTC

More information about algaeClassify at CRAN
Permanent link

Sun, 19 May 2019

New package biscale with initial version 0.1.1
Package: biscale
Type: Package
Title: Tools and Palettes for Bivariate Thematic Mapping
Version: 0.1.1
Authors@R: c( person("Christopher", "Prener", , "chris.prener@slu.edu", c("aut", "cre"), comment = c(ORCID = "0000-0002-4310-9888")), person("Timo", "Grossenbacher", , role = "aut"), person("Angelo", "Zehr", , role = "aut"), person("Joshua", "Stevens", , role = "ctb"))
Description: Provides a 'ggplot2' centric approach to bivariate mapping. This is a technique that maps two quantities simultaneously rather than the single value that most thematic maps display. The package provides a suite of tools for calculating breaks using multiple different approaches, a selection of palettes appropriate for bivariate mapping and a scale function for 'ggplot2' calls that adds those palettes to maps. A tool for creating bivariate legends is also included.
Depends: R (>= 3.3)
License: GPL-3
URL: https://github.com/slu-openGIS/biscale
BugReports: https://github.com/slu-openGIS/biscale/issues
Encoding: UTF-8
LazyData: true
Imports: classInt, dplyr, ggplot2, glue, rlang, stats, tidyr
RoxygenNote: 6.1.1
Suggests: cowplot, covr, knitr, rmarkdown, sf, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-04 12:33:00 UTC; chris
Author: Christopher Prener [aut, cre] (<https://orcid.org/0000-0002-4310-9888>), Timo Grossenbacher [aut], Angelo Zehr [aut], Joshua Stevens [ctb]
Maintainer: Christopher Prener <chris.prener@slu.edu>
Repository: CRAN
Date/Publication: 2019-05-19 08:50:03 UTC

More information about biscale at CRAN
Permanent link

Sat, 18 May 2019

New package nLTT with initial version 1.4.1
Package: nLTT
Type: Package
Title: Calculate the NLTT Statistic
Version: 1.4.1
Authors@R: c(person("Thijs","Janzen", email = "thijsjanzen@gmail.com",role=c("aut","cre")), person("Richel","Bilderbeek",email="richel@richelbilderbeek.nl", role=c("aut")))
Description: Provides functions to calculate the normalised Lineage-Through- Time (nLTT) statistic, given two phylogenetic trees. The nLTT statistic measures the difference between two Lineage-Through-Time curves, where each curve is normalised both in time and in number of lineages.
License: GPL-2
Imports: ape, coda, deSolve, testit
Suggests: DDD, ggplot2, Hmisc, knitr, microbenchmark, plyr, reshape2, rmarkdown, TESS, testthat, TreeSim
NeedsCompilation: no
Packaged: 2019-05-18 11:03:54 UTC; janzen
RoxygenNote: 6.1.1
VignetteBuilder: knitr
URL: https://github.com/richelbilderbeek/nLTT
BugReports: https://github.com/richelbilderbeek/nLTT/issues
Author: Thijs Janzen [aut, cre], Richel Bilderbeek [aut]
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-18 23:10:04 UTC

More information about nLTT at CRAN
Permanent link

Fri, 17 May 2019

New package tokenbrowser with initial version 0.1.0
Package: tokenbrowser
Type: Package
Title: Create Full Text Browsers from Annotated Token Lists
Version: 0.1.0
Author: Kasper Welbers and Wouter van Atteveldt
Maintainer: Kasper Welbers <kasperwelbers@gmail.com>
License: GPL-3
Depends: R (>= 2.10)
Imports: methods, Rcpp, stringi
Suggests: testthat
LinkingTo: Rcpp
LazyData: true
Description: Create browsers for reading full texts from a token list format. Information obtained from text analyses (e.g., topic modeling, word scaling) can be used to annotate the texts.
SystemRequirements: C++11
Encoding: UTF-8
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-05-17 14:35:54 UTC; kasper
Repository: CRAN
Date/Publication: 2019-05-17 16:20:04 UTC

More information about tokenbrowser at CRAN
Permanent link

New package AFheritability with initial version 0.1.0
Package: AFheritability
Type: Package
Title: The Attributable Fraction (AF) Described as a Function of Disease Heritability, Prevalence and Intervention Specific Factors
Version: 0.1.0
Author: Elisabeth Dahlqwist
Maintainer: Elisabeth Dahlqwist <elisabeth.dahlqwist88@gmail.com>
Description: The AFfunction() is a function which returns an estimate of the Attributable Fraction (AF) and a plot of the AF as a function of heritability, disease prevalence, size of target group and intervention effect. Since the AF is a function of several factors, a shiny app is used to better illustrate how the relationship between the AF and heritability depends on several other factors. The app is ran by the function runShinyApp(). For more information see Dahlqwist E et al. (2019) <doi:10.1007/s00439-019-02006-8>.
License: GPL-2 | GPL-3
Depends: reshape2, mvtnorm, ggplot2, shiny
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-17 16:18:29 UTC; elidah
Repository: CRAN
Date/Publication: 2019-05-17 16:40:03 UTC

More information about AFheritability at CRAN
Permanent link

New package ADAPTS with initial version 0.9.14
Package: ADAPTS
Type: Package
Title: Automated Deconvolution Augmentation of Profiles for Tissue Specific Cells
Version: 0.9.14
Author: Samuel A Danziger
Maintainer: Samuel A Danziger <sam.danziger@gmail.com>
Copyright: Celgene Corporation
Description: Augments existing or de-novo cell-type signature matrices to deconvolve bulk gene expression data. This package expands on the techniques outlined in Newman AM, Liu CL, Green MR, Gentles AJ, Feng W, Xu Y, Hoang CD, Diehn M, Alizadeh, AA (2015) <doi:10.1038/nmeth.3337>'s Nature Methods paper: 'Robust enumeration of cell subsets from tissue expression profiles' to allow a user to easily add their own cell types (e.g. a tumor specific cell type) to Newman's LM22 or other signature matrix.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 3.3.0)
biocViews:
Imports: missForest, e1071, WGCNA, ComICS, pheatmap, doParallel, quantmod, preprocessCore, pcaMethods, foreach, DeconRNASeq
Suggests: R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2019-05-17 01:18:32 UTC; sdanziger
Repository: CRAN
Date/Publication: 2019-05-17 16:00:03 UTC

More information about ADAPTS at CRAN
Permanent link

New package PLNmodels with initial version 0.9.2
Package: PLNmodels
Title: Poisson Lognormal Models
Version: 0.9.2
Authors@R: c( person("Julien", "Chiquet", role = c("aut", "cre"), email = "julien.chiquet@inra.fr", comment = c(ORCID = "0000-0002-3629-3429")), person("Mahendra", "Mariadassou", role = "aut", email = "mahendra.mariadassou@inra.fr", comment = c(ORCID = "0000-0003-2986-354X")), person("Stéphane", "Robin", role ="ctb", email = "stephane.robin@inra.fr") )
Description: The Poisson-lognormal model and variants can be used for a variety of multivariate problems when count data are at play, including principal component analysis for count data (Chiquet, Mariadassou and Robin, 2018 <doi:10.1214/18-AOAS1177>), discriminant analysis and network inference (Chiquet, Mariadassou and Robin, 2018 <arXiv:1806.03120>). Implements variational algorithms to fit such models accompanied with a set of functions for visualization and diagnostic.
URL: https://jchiquet.github.io/PLNmodels/
BugReports: https://github.com/jchiquet/PLNmodels/issues
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 6.1.1
Depends: R (>= 3.4)
biocViews:
Imports: methods, stats, MASS, parallel, R6, glassoFast, Matrix, Rcpp, nloptr (>= 1.2.0), igraph, grid, gridExtra, dplyr, tidyr, ggplot2, corrplot, magrittr, biomformat, phyloseq
Suggests: knitr, rmarkdown, GGally, testthat, covr, pkgdown
LinkingTo: Rcpp, RcppArmadillo, nloptr (>= 1.2.0)
VignetteBuilder: knitr
Collate: 'PLNfit-class.R' 'PLN.R' 'PLNLDA.R' 'PLNLDAfit-S3methods.R' 'PLNLDAfit-class.R' 'PLNPCA.R' 'PLNPCAfamily-S3methods.R' 'PLNfamily-class.R' 'PLNPCAfamily-class.R' 'PLNPCAfit-S3methods.R' 'PLNPCAfit-class.R' 'PLNfamily-S3methods.R' 'PLNfit-S3methods.R' 'PLNmodels-package.R' 'PLNnetwork.R' 'PLNnetworkfamily-S3methods.R' 'PLNnetworkfamily-class.R' 'PLNnetworkfit-S3methods.R' 'PLNnetworkfit-class.R' 'RcppExports.R' 'deprecated.R' 'import_utils.R' 'mollusk.R' 'plot_utils.R' 'trichoptera.R' 'utils-pipe.R' 'utils.R'
NeedsCompilation: yes
Packaged: 2019-05-16 20:14:19 UTC; jchiquet
Author: Julien Chiquet [aut, cre] (<https://orcid.org/0000-0002-3629-3429>), Mahendra Mariadassou [aut] (<https://orcid.org/0000-0003-2986-354X>), Stéphane Robin [ctb]
Maintainer: Julien Chiquet <julien.chiquet@inra.fr>
Repository: CRAN
Date/Publication: 2019-05-17 15:20:03 UTC

More information about PLNmodels at CRAN
Permanent link

New package oceanis with initial version 0.8.4
Package: oceanis
Type: Package
Title: Cartography for Statistical Analysis
Version: 0.8.4
Date: 2019-05-17
Author: Sébastien CALVET [cre, aut], Sophie AUDRIC [aut]
Maintainer: Sébastien CALVET <sebastien.calvet@insee.fr>
Description: Creating maps for statistical analysis such as proportional circles, chroropleth, typology and flows. Some functions use 'shiny' or 'leaflet' technologies for dynamism and interactivity. The great features are : - Create maps in a web environment where the parameters are modifiable on the fly ('shiny' and 'leaflet' technology). - Create interactive maps through zoom and pop-up ('leaflet' technology). - Create frozen maps with the possibility to add labels.
License: GPL (>= 2.0)
LazyLoad: yes
Depends: R (>= 3.3.0),shiny (>= 1.0.5),shinyBS (>= 0.61)
Imports: utils (>= 3.3.3),shinyjs (>= 1.0),shinythemes (>= 1.1.1),DT (>= 0.2),foreign (>= 0.8.67),sf (>= 0.6.3),sfc (>= 0.1.0),stringr (>= 1.2.0),leaflet (>= 2.0.2),leaflet.extras (>= 1.0.0),classInt(>= 0.2.3),units (>= 0.6.0),grDevices (>= 3.3.3),readODS (>= 1.6.7),xlsx (>= 0.5.7),ggplot2 (>= 2.2.1),dplyr (>= 0.7.2),graphics (>= 3.3.3),mapview (>= 2.5.0),tidyr (>= 0.7.1),munsell (>= 0.5.0),lwgeom (>= 0.1.4)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-05-17 07:43:22 UTC; zz0srj
Repository: CRAN
Date/Publication: 2019-05-17 15:30:03 UTC

More information about oceanis at CRAN
Permanent link

New package CodataGS with initial version 1.43
Package: CodataGS
Type: Package
Title: Genomic Prediction Using SNP Codata
Version: 1.43
Date: 2019-05-17
Author: Lars Ronnegard
Maintainer: Lars Ronnegard <lrn@du.se>
Description: Computes genomic breeding values using external information on the markers. The package fits a linear mixed model with heteroscedastic random effects, where the random effect variance is fitted using a linear predictor and a log link. The method is described in Mouresan, Selle and Ronnegard (2019) <doi:10.1101/636746>.
License: GPL
Depends: Matrix
NeedsCompilation: no
Packaged: 2019-05-17 12:09:05 UTC; lrn
Repository: CRAN
Date/Publication: 2019-05-17 15:40:07 UTC

More information about CodataGS at CRAN
Permanent link

New package prettyB with initial version 0.2.1
Package: prettyB
Type: Package
Title: Pretty Base Graphics
Version: 0.2.1
Authors@R: person(given="Colin", family="Gillespie", email="csgillespie@gmail.com", role = c("aut", "cre"))
Maintainer: Colin Gillespie <csgillespie@gmail.com>
Description: Drop-in replacements for standard base graphics functions. The replacements are prettier versions of the originals.
URL: https://github.com/jumpingrivers/prettyB/
BugReports: https://github.com/jumpingrivers/prettyB//issues
License: GPL-2 | GPL-3
Imports: grDevices, stats, graphics
Suggests: testthat, vdiffr, covr, lintr, knitr
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-17 07:35:20 UTC; ncsg3
Author: Colin Gillespie [aut, cre]
Repository: CRAN
Date/Publication: 2019-05-17 14:20:04 UTC

More information about prettyB at CRAN
Permanent link

New package plotdap with initial version 0.0.2
Package: plotdap
Title: Easily Visualize Data from 'ERDDAP' Servers via the 'rerddap' Package
Version: 0.0.2
Date: 2019-04-29
Authors@R: c( person("Carson", "Sievert", role = "aut"), person("Roy", "Mendelssohn", role = c("aut", "ctb", "cre"), email = "roy.mendelssohn@noaa.gov"))
Description: Easily visualize and animate 'tabledap' and 'griddap' objects obtained via the 'rerddap' package in a simple one-line command, using either base graphics or 'ggplot2' graphics. 'plotdap' handles extracting and reshaping the data, map projections and continental outlines. Optionally the data can be animated through time using the 'gganmiate' package.
License: MIT + file LICENSE
URL: https://github.com/ropensci/plotdap
BugReports: https://github.com/ropensci/plotdap/issues
Depends: R (>= 3.5.0), rerddap
Imports: dplyr, gganimate, ggplot2 (>= 3.1.0), lazyeval, lubridate, magrittr, mapdata, maps (>= 3.2.0), maptools, plot3D, rgdal, rgeos, raster, scales, sf, tidyr
Suggests: testthat, Cairo, knitr, rmarkdown
RoxygenNote: 6.1.1
LazyData: true
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-03 01:01:13 UTC; rmendels
Author: Carson Sievert [aut], Roy Mendelssohn [aut, ctb, cre]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>
Repository: CRAN
Date/Publication: 2019-05-17 15:00:03 UTC

More information about plotdap at CRAN
Permanent link

New package statsguRu with initial version 0.1.0
Type: Package
Package: statsguRu
Version: 0.1.0
Title: Extract, Visualize and Analyze Cricket Statistics from ESPNCricinfo's Statsguru
Description: Use this package to scrap Test Matches, One Day Internationals, Twenty-20 Internationals data of a player from ESPNCricinfo's Statsguru (<http://stats.espncricinfo.com/ci/engine/stats/index.html>) and then visualize their batting, bowling and fielding performances in the form of charts and graphs.
Author: Pranav Nagarajan
Maintainer: Pranav Nagarajan <npranav10@gmail.com>
URL: https://github.com/npranav10/statsguRu
BugReports: https://github.com/npranav10/statsguRu/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: htmltab,plotrix,devtools,grDevices,graphics,utils
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-17 08:54:51 UTC; Pranav N
Repository: CRAN
Date/Publication: 2019-05-17 11:50:41 UTC

More information about statsguRu at CRAN
Permanent link

New package pulseTD with initial version 0.1.0
Package: pulseTD
Type: Package
Title: Identification of Transcriptional Dynamics using Pulse Models via 4su-Seq Data and RNA-Seq Data
Version: 0.1.0
Date: 2019-5-5
Author: XinWang
Maintainer: XinWang <xindd_2014@163.com>
Description: A tool for analyzing the transcription, processing and degradation rates of genes by 4sU-seq (the Metabolic Label 4-thiouridine) data and RNA-seq (RNA sequencing) data. It can not only recognize the transcriptional dynamic rates at the measurement time points, but also obtain continuous changes in transcriptional dynamics. More importantly, it is able to predict the trend of mRNA (Mature RNA) transcription and expression changes in the future.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.4.0)
biocViews:
Imports: AnnotationDbi, SummarizedExperiment, Rsamtools, Biobase, S4Vectors, methods, parallel, GenomicFeatures, ggplot2, grid, GenomicAlignments
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, TxDb.Hsapiens.UCSC.hg19.knownGene
URL: https://github.com/bioWzz/pulseTD_0.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-17 01:32:57 UTC; Administrator
Repository: CRAN
Date/Publication: 2019-05-17 09:20:03 UTC

More information about pulseTD at CRAN
Permanent link

New package CGE with initial version 0.1.8
Package: CGE
Type: Package
Title: Computing General Equilibrium
Version: 0.1.8
Author: LI Wu <liwu@staff.shu.edu.cn>
Maintainer: LI Wu <liwu@staff.shu.edu.cn>
Description: Developing general equilibrium models, computing general equilibrium and simulating economic dynamics with structural dynamic models in LI (2019, ISBN: 9787521804225) "General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press".
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-17 01:12:11 UTC; Administrator
Repository: CRAN
Date/Publication: 2019-05-17 09:20:17 UTC

More information about CGE at CRAN
Permanent link

New package sparseMatEst with initial version 1.0.0
Package: sparseMatEst
Type: Package
Title: Sparse Matrix Estimation and Inference
Version: 1.0.0
Authors@R: c( person(given="Adam B", family="Kashlak", email = "kashlak@ualberta.ca", role = c("aut", "cre")), person(given="Xinyu", family="Zhang", role = c("ctb")) )
Author: Adam B Kashlak [aut, cre], Xinyu Zhang [ctb]
Maintainer: Adam B Kashlak <kashlak@ualberta.ca>
Description: The 'sparseMatEst' package provides functions for estimating sparse covariance and precision matrices with error control. A false positive rate is fixed corresponding to the probability of falsely including a matrix entry in the support of the estimator. It uses the binary search method outlined in Kashlak and Kong (2019) <arXiv:1705.02679> and in Kashlak (2019) <arXiv:1903.10988>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: stats, glasso
NeedsCompilation: no
Packaged: 2019-05-17 03:30:20 UTC; AdKas
Repository: CRAN
Date/Publication: 2019-05-17 08:20:05 UTC

More information about sparseMatEst at CRAN
Permanent link

New package matahari with initial version 0.1.0
Package: matahari
Type: Package
Title: Spy on Your R Session
Version: 0.1.0
Authors@R: c( person("Sean", "Kross", email = "sean@seankross.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5215-0316")), person("Lucy", "D'Agostino McGowan", email = "lucydagostino@gmail.com", role = "aut", comment = c(ORCID = "0000-0001-7297-9359")), person("Jeff", "Leek", email = "jtleek@gmail.com", role = "ldr", comment = c(ORCID = "0000-0002-2873-2671")) )
Description: Conveniently log everything you type into the R console. Logs are are stored as tidy data frames which can then be analyzed using 'tidyverse' style tools.
Depends: R (>= 3.5.0)
Imports: rstudioapi, tibble, readr, jsonlite, clipr, purrr, rlang
Suggests: testthat, knitr, rmarkdown
License: MIT + file LICENSE
URL: https://github.com/jhudsl/matahari
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
BugReports: https://github.com/jhudsl/matahari/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-17 02:20:00 UTC; sean
Author: Sean Kross [aut, cre] (<https://orcid.org/0000-0001-5215-0316>), Lucy D'Agostino McGowan [aut] (<https://orcid.org/0000-0001-7297-9359>), Jeff Leek [ldr] (<https://orcid.org/0000-0002-2873-2671>)
Maintainer: Sean Kross <sean@seankross.com>
Repository: CRAN
Date/Publication: 2019-05-17 08:20:12 UTC

More information about matahari at CRAN
Permanent link

New package yarr with initial version 0.1.1
Package: yarr
Type: Package
Title: Yet Another 'ARFF' Reader
Version: 0.1.1
Authors@R: c(person("David", "Charte", email = "fdavidcl@ugr.es", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4830-9512")), person("Francisco", "Charte", email = "francisco@fcharte.com", role = "aut", comment = c(ORCID = "0000-0002-3083-8942")))
Description: A parser and a writer for 'WEKA' Attribute-Relation File Format <https://waikato.github.io/weka-wiki/arff_stable/> in pure R, with no dependencies. As opposed to other R implementations, this package can read standard (dense) as well as sparse files, i.e. those where each row does only contain nonzero components. Unlike 'RWeka', 'yarr' does not require any 'Java' installation nor is dependent on external software. This implementation is generalized from those in packages 'mldr' and 'mldr.datasets'.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/fdavidcl/yarr
BugReports: https://github.com/fdavidcl/yarr/issues
Depends: R (>= 3.6)
Suggests: testthat (>= 2.1.0)
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-16 18:18:28 UTC; fdavidcl
Author: David Charte [aut, cre] (<https://orcid.org/0000-0002-4830-9512>), Francisco Charte [aut] (<https://orcid.org/0000-0002-3083-8942>)
Maintainer: David Charte <fdavidcl@ugr.es>
Repository: CRAN
Date/Publication: 2019-05-17 07:20:04 UTC

More information about yarr at CRAN
Permanent link

New package SMARTp with initial version 0.1.1
Package: SMARTp
Type: Package
Title: Sample Size for SMART Designs in Non-Surgical Periodontal Trials
Version: 0.1.1
Author: Jing Xu, Dipankar Bandyopadhyay, Douglas Azevedo, Bibhas Chakraborty
Maintainer: Dipankar Bandyopadhyay <bandyopd@gmail.com>
Description: Sample size calculation to detect dynamic treatment regime (DTR) effects based on change in clinical attachment level (CAL) outcomes from a non-surgical chronic periodontitis treatments study. The experiment is performed under a Sequential Multiple Assignment Randomized Trial (SMART) design. The clustered tooth (sub-unit) level CAL outcomes are skewed, spatially-referenced, and non-randomly missing. The implemented algorithm is available in Xu et al. (2019+) <arXiv:1902.09386>.
Depends: R (>= 3.5)
Imports: covr, sn (>= 1.5), mvtnorm (>= 1.0), stats, methods
URL: https://github.com/bandyopd/SMARTp
License: LGPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-16 16:32:55 UTC; douglas
Repository: CRAN
Date/Publication: 2019-05-17 07:10:04 UTC

More information about SMARTp at CRAN
Permanent link

New package Rbeast with initial version 0.1
Package: Rbeast
Type: Package
Version: 0.1
Date: 2019-05-08
Title: Bayesian Change-Point Detection and Time Series Decomposition
Authors@R: c(person(given = "Kaiguang", family = "Zhao", role = c("aut", "cre"), email = "lidar.rs@gmail.com"), person(given = "Tongxi", family = "Hu", role = "aut", email = "hu.1555@osu.edu"), person(given = "Yang", family = "Li", role = "aut", email = "li.10015@osu.edu") )
Author: Kaiguang Zhao [aut, cre], Tongxi Hu [aut], Yang Li [aut]
Maintainer: Kaiguang Zhao <lidar.rs@gmail.com>
Depends: R (>= 2.10.0),methods, utils
Description: Interpretation of time series data is affected by model choices. Different models can give different or even contradicting estimates of patterns, trends, and mechanisms for the same data--a limitation alleviated by the Bayesian estimator of abrupt change,seasonality, and trend (BEAST) of this package. BEAST seeks to improve time series decomposition by forgoing the "single-best-model" concept and embracing all competing models into the inference via a Bayesian model averaging scheme. It is a flexible tool to uncover abrupt changes (i.e., change-points), cyclic variations (e.g., seasonality), and nonlinear trends in time-series observations. BEAST not just tells when changes occur but also quantifies how likely the detected changes are true. It detects not just piecewise linear trends but also arbitrary nonlinear trends. BEAST is applicable to real-valued time series data of all kinds, be it for remote sensing, economics, climate sciences, ecology, and hydrology. Example applications include its use to identify regime shifts in ecological data, map forest disturbance and land degradation from satellite imagery, detect market trends in economic data, pinpoint anomaly and extreme events in climate data, and unravel system dynamics in biological data. Details on BEAST are reported in Zhao et al. (2019).
LazyData: true
License: GPL (>= 2)
NeedsCompilation: yes
RoxygenNote: 6.0.1
Packaged: 2019-05-16 15:09:51 UTC; zhaokg
Repository: CRAN
Date/Publication: 2019-05-17 07:00:35 UTC

More information about Rbeast at CRAN
Permanent link

New package partition with initial version 0.1.0
Package: partition
Type: Package
Title: Agglomerative Partitioning Framework for Dimension Reduction
Version: 0.1.0
Authors@R: c( person( "Joshua", "Millstein", role = "aut", email = "joshua.millstein@usc.edu"), person( "Malcolm", "Barrett", role = c("aut", "cre"), email = "malcolmbarrett@gmail.com", comment = c(ORCID = "0000-0003-0299-5825")))
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>
Description: A fast and flexible framework for agglomerative partitioning. 'partition' uses an approach called Direct-Measure-Reduce to create new variables that maintain the user-specified minimum level of information. Each reduced variable is also interpretable: the original variables map to one and only one variable in the reduced data set. 'partition' is flexible, as well: how variables are selected to reduce, how information loss is measured, and the way data is reduced can all be customized.
Depends: R (>= 3.3.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, rlang, purrr, tibble, dplyr (>= 0.8.0), tidyr, ggplot2 (>= 3.0.0), stringr, magrittr, crayon, pillar, infotheo, MASS, forcats
Suggests: covr, spelling, testthat, knitr, rmarkdown
RoxygenNote: 6.1.1
URL: https://uscbiostats.github.io/partition/, https://github.com/USCbiostats/partition
BugReports: https://github.com/USCbiostats/partition/issues
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-05-16 16:08:33 UTC; malcolmbarrett
Author: Joshua Millstein [aut], Malcolm Barrett [aut, cre] (<https://orcid.org/0000-0003-0299-5825>)
Repository: CRAN
Date/Publication: 2019-05-17 07:00:04 UTC

More information about partition at CRAN
Permanent link

New package memoria with initial version 1.0.0
Package: memoria
Type: Package
Title: Quantifying Ecological Memory in Palaeoecological Datasets and Other Long Time-Series
Version: 1.0.0
Author: Blas M. Benito
Maintainer: Blas M. Benito <blasbenito@gmail.com>
Description: Tools to quantify ecological memory in long time-series with Random Forest models (Breiman 2001 <doi:10.1023/A:1010933404324>) fitted with the 'ranger' library (Wright and Ziegler 2017 <doi:10.18637/jss.v077.i01>). Particularly oriented to palaeoecological datasets and simulated pollen curves produced by the 'virtualPollen' package, but also applicable to other long time-series involving a set of environmental drivers and a biotic response.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Depends: R (>= 2.10)
Imports: ggplot2, ranger, cowplot, viridis, viridisLite, zoo, stringr, HH, tidyr
Suggests: devtools, formatR, kableExtra, magrittr, knitr, rmarkdown, rpart, rpart.plot, randomForest, virtualPollen
NeedsCompilation: no
Packaged: 2019-05-16 21:43:51 UTC; blas
Repository: CRAN
Date/Publication: 2019-05-17 08:00:02 UTC

More information about memoria at CRAN
Permanent link

New package expstudies with initial version 0.0.1
Package: expstudies
Title: Calculate Exposures, Assign Records to Intervals
Version: 0.0.1
Authors@R: person(given = "Matthew", family = "Caseres", email = "matthewcaseres@outlook.com", role = c("aut", "cre"))
Description: Creation of an exposure table with rows for policy-intervals from a table with a unique policy number key and beginning and ending dates for each policy. Methods for assigning supplemental data containing dates and policy numbers to the corresponding interval from the created exposures table.
Depends: R (>= 3.1.0)
Imports: magrittr, dplyr, lubridate, Rcpp
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
LinkingTo: Rcpp
Suggests: pander, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-05-16 21:18:43 UTC; matcaseres
Author: Matthew Caseres [aut, cre]
Maintainer: Matthew Caseres <matthewcaseres@outlook.com>
Repository: CRAN
Date/Publication: 2019-05-17 08:00:08 UTC

More information about expstudies at CRAN
Permanent link

New package bundesbank with initial version 0.1-9
Package: bundesbank
Type: Package
Title: Download Data from Bundesbank
Version: 0.1-9
Date: 2019-05-16
Maintainer: Enrico Schumann <es@enricoschumann.net>
Authors@R: person(given = "Enrico", family = "Schumann", role = c("aut", "cre"), email = "es@enricoschumann.net", comment = c(ORCID = "0000-0001-7601-6576"))
Description: Download data from the time-series databases of the Bundesbank, the German central bank. See the overview at the Bundesbank website (<https://www.bundesbank.de/en/statistics/time-series-databases>) for available series. The package provides only a single function, getSeries(), which supports both traditional and real-time datasets; it will also download meta data if available. Downloaded data can automatically be arranged in various formats, such as data frames or 'zoo' series. The data may optionally be cached, so as to avoid repeated downloads of the same series.
License: GPL-3
URL: http://enricoschumann.net/R/packages/bundesbank/index.htm, https://github.com/enricoschumann/bundesbank
Suggests: zoo
NeedsCompilation: no
Packaged: 2019-05-16 19:05:13 UTC; es19
Author: Enrico Schumann [aut, cre] (<https://orcid.org/0000-0001-7601-6576>)
Repository: CRAN
Date/Publication: 2019-05-17 07:40:07 UTC

More information about bundesbank at CRAN
Permanent link

New package bmass with initial version 1.0.3
Encoding: UTF-8
Type: Package
Package: bmass
Version: 1.0.3
Date: 2019-05-15
Title: Bayesian Multivariate Analysis of Summary Statistics
Authors@R: c(person("Michael","Turchin",email = "mturchin20@uchicago.edu", role=c("aut","cre")), person("Matthew","Stephens",email = "mstephens@uchicago.edu", role = "aut"), person("Peter","Carbonetto",role="ctb"))
Description: Multivariate tool for analyzing genome-wide association study results in the form of univariate summary statistics. The goal of 'bmass' is to comprehensively test all possible multivariate models given the phenotypes and datasets provided. Multivariate models are determined by assigning each phenotype to being either Unassociated (U), Directly associated (D) or Indirectly associated (I) with the genetic variant of interest. Test results for each model are presented in the form of Bayes factors, thereby allowing direct comparisons between models. The underlying framework implemented here is based on the modeling developed in "A Unified Framework for Association Analysis with Multiple Related Phenotypes", M. Stephens (2013) <doi:10.1371/journal.pone.0065245>.
License: GPL (>= 3)
URL: https://github.com/mturchin20/bmass
BugReports: https://github.com/mturchin20/bmass/issues
Depends: R (>= 3.3.0)
Imports: utils, stats
Suggests: testthat, knitr, rmarkdown
LazyData: true
NeedsCompilation: no
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Packaged: 2019-05-16 16:23:07 UTC; mturchin20
Author: Michael Turchin [aut, cre], Matthew Stephens [aut], Peter Carbonetto [ctb]
Maintainer: Michael Turchin <mturchin20@uchicago.edu>
Repository: CRAN
Date/Publication: 2019-05-17 07:20:12 UTC

More information about bmass at CRAN
Permanent link

Thu, 16 May 2019

New package rromeo with initial version 0.1.0
Package: rromeo
Type: Package
Title: Access Publisher Copyright & Self-Archiving Policies via the 'SHERPA/RoMEO' API
Version: 0.1.0
Authors@R: c( person("Matthias", "Grenié", email = "matthias.grenie@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4659-7522")), person("Hugo", "Gruson", role = "aut", comment = c(ORCID = "0000-0002-4094-1476")) )
Description: Fetches information from the 'SHERPA/RoMEO' API <http://www.sherpa.ac.uk/romeo/apimanual.php> which indexes policies of journal regarding the archival of scientific manuscripts before and/or after peer-review as well as formatted manuscripts.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: httr, xml2
RoxygenNote: 6.1.1
Suggests: ggplot2, knitr, rmarkdown, testthat, vcr (>= 0.2.6), ISOcodes, mockery
Language: en-US
VignetteBuilder: knitr
URL: https://github.com/ropensci/rromeo
BugReports: https://github.com/ropensci/rromeo/issues
NeedsCompilation: no
Packaged: 2019-05-16 13:43:38 UTC; Rekyt
Author: Matthias Grenié [aut, cre] (<https://orcid.org/0000-0002-4659-7522>), Hugo Gruson [aut] (<https://orcid.org/0000-0002-4094-1476>)
Maintainer: Matthias Grenié <matthias.grenie@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-16 16:30:03 UTC

More information about rromeo at CRAN
Permanent link

New package rflights with initial version 0.1.0
Package: rflights
Type: Package
Title: Query Plane Tickets using the 'Kiwi' API
Version: 0.1.0
Authors@R: c(person(given = "Juan Cruz", family = "Rodriguez", role = c("aut", "cre"), email = "jcrodriguez@unc.edu.ar"))
Maintainer: Juan Cruz Rodriguez <jcrodriguez@unc.edu.ar>
Description: Query plane tickets, from several airlines, using the 'Kiwi' API (similar to 'Google Flights'). The API is documented at <https://docs.kiwi.com/>.
License: GPL-3
URL: https://github.com/jcrodriguez1989/rflights/
BugReports: https://github.com/jcrodriguez1989/rflights/issues
Encoding: UTF-8
LazyData: true
Imports: httr, methods
RoxygenNote: 6.1.1
Suggests: testthat, covr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-16 12:50:40 UTC; jcrodriguez
Author: Juan Cruz Rodriguez [aut, cre]
Repository: CRAN
Date/Publication: 2019-05-16 16:10:03 UTC

More information about rflights at CRAN
Permanent link

New package N2H4 with initial version 0.5.4
Package: N2H4
Type: Package
Title: Handling Methods for Naver News Text Crawling
Version: 0.5.4
Date: 2019-05-16
Authors@R: person(given = "Chanyub", family = "Park", role = c("aut","cre"), email = "mrchypark@gmail.com", comment = c(ORCID = "0000-0001-6474-2570"))
Description: Provides some functions to get Korean text sample from news articles in Naver which is popular news portal service <https://news.naver.com/> in Korea.
License: MIT + file LICENSE
URL: http://github.com/forkonlp/N2H4
BugReports: http://github.com/forkonlp/N2H4/issues
RoxygenNote: 6.1.1
Depends: R (>= 3.2)
Encoding: UTF-8
LazyData: true
Suggests: testthat
Imports: xml2, rvest, httr, jsonlite, tidyr, tibble, dplyr, lubridate
NeedsCompilation: no
Packaged: 2019-05-16 16:07:19 UTC; mrchypark
Author: Chanyub Park [aut, cre] (<https://orcid.org/0000-0001-6474-2570>)
Maintainer: Chanyub Park <mrchypark@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-16 16:30:25 UTC

More information about N2H4 at CRAN
Permanent link

New package multinomineq with initial version 0.2.1
Package: multinomineq
Type: Package
Title: Bayesian Inference for Multinomial Models with Inequality Constraints
Version: 0.2.1
Date: 2019-05-16
Authors@R: person("Daniel W.", "Heck", email="heck@uni-mannheim.de", role=c("aut","cre"))
Maintainer: Daniel W. Heck <heck@uni-mannheim.de>
Description: Implements Gibbs sampling and Bayes factors for multinomial models with linear inequality constraints on the vector of probability parameters. As special cases, the model class includes models that predict a linear order of binomial probabilities (e.g., p[1] < p[2] < p[3] < .50) and mixture models assuming that the parameter vector p must be inside the convex hull of a finite number of predicted patterns (i.e., vertices). A formal definition of inequality-constrained multinomial models and the implemented computational methods is provided in: Heck, D.W., & Davis-Stober, C.P. (2019). Multinomial models with linear inequality constraints: Overview and improvements of computational methods for Bayesian inference. Journal of Mathematical Psychology, 91, 70-87. <doi:10.1016/j.jmp.2019.03.004>. Inequality-constrained multinomial models have applications in the area of judgment and decision making to fit and test random utility models (Regenwetter, M., Dana, J., & Davis-Stober, C.P. (2011). Transitivity of preferences. Psychological Review, 118, 42–56, <doi:10.1037/a0021150>) or to perform outcome-based strategy classification to select the decision strategy that provides the best account for a vector of observed choice frequencies (Heck, D.W., Hilbig, B.E., & Moshagen, M. (2017). From information processing to decisions: Formalizing and comparing probabilistic choice models. Cognitive Psychology, 96, 26–40. <doi:10.1016/j.cogpsych.2017.05.003>).
License: GPL-3
URL: https://github.com/danheck/multinomineq
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 0.12.11), parallel, Rglpk, quadprog, coda, RcppXPtrUtils
Suggests: rPorta, knitr, testthat, covr
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Additional_repositories: https://danheck.github.io/drat/
NeedsCompilation: yes
Packaged: 2019-05-16 12:58:53 UTC; Daniel
Author: Daniel W. Heck [aut, cre]
Repository: CRAN
Date/Publication: 2019-05-16 16:30:12 UTC

More information about multinomineq at CRAN
Permanent link

New package josaplay with initial version 0.1.3
Package: josaplay
Title: Add Josa Based on Previous Letter in Korean
Version: 0.1.3
Authors@R: person(given = "Chanyub", family = "Park", role = c("aut","cre"), email = "mrchypark@gmail.com", comment = c(ORCID = "0000-0001-6474-2570"))
Description: Josa in Korean is often determined by judging the previous word. When writing reports using Rmd, a function that prints the appropriate investigation for each case is helpful. The 'josaplay' package then evaluates the previous word to determine which josa is appropriate.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: utf8, magrittr
RoxygenNote: 6.1.1
URL: https://github.com/mrchypark/josaplay
BugReports: https://github.com/mrchypark/josaplay/issues
Suggests: covr
NeedsCompilation: no
Packaged: 2019-05-16 14:09:03 UTC; mrchypark
Author: Chanyub Park [aut, cre] (<https://orcid.org/0000-0001-6474-2570>)
Maintainer: Chanyub Park <mrchypark@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-16 16:10:21 UTC

More information about josaplay at CRAN
Permanent link

New package dde with initial version 1.0.0
Package: dde
Title: Solve Delay Differential Equations
Version: 1.0.0
Authors@R: c(person("Rich", "FitzJohn", role = c("aut", "cre"), email = "rich.fitzjohn@gmail.com"), person("Wes", "Hinsley", role = "aut"), person("Imperial College of Science, Technology and Medicine", role = "cph"))
Description: Solves ordinary and delay differential equations, where the objective function is written in either R or C. Suitable only for non-stiff equations, the solver uses a 'Dormand-Prince' method that allows interpolation of the solution at any point. This approach is as described by Hairer, Norsett and Wanner (1993) <ISBN:3540604529>. Support is also included for iterating difference equations.
License: MIT + file LICENSE
URL: https://github.com/mrc-ide/dde
BugReports: https://github.com/mrc-ide/dde/issues
Depends: R (>= 3.1.0)
LinkingTo: ring (>= 1.0.0)
Suggests: deSolve, knitr, microbenchmark, rmarkdown, testthat
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: yes
Packaged: 2019-05-16 10:50:50 UTC; rfitzjoh
Author: Rich FitzJohn [aut, cre], Wes Hinsley [aut], Imperial College of Science, Technology and Medicine [cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-16 16:10:27 UTC

More information about dde at CRAN
Permanent link

New package ramlegacy with initial version 0.2.0
Type: Package
Package: ramlegacy
Title: Download and Read RAM Legacy Stock Assessment Database
Version: 0.2.0
Authors@R: c(person(given = "Carl", family = "Boettiger", role = c("aut", "cph"), email = "cboettig@gmail.com", comment = c(ORCID = "http://orcid.org/0000-0002-1642-628X")), person(given = "Kshitiz", family = "Gupta", role = c("aut", "cre", "cph"), email = "kshtzgupta1@berkeley.edu"), person(given = "Sam", family = "Albers", role = c("rev"), email = "sam.albers@gmail.com", comment = c(ORCID = "https://orcid.org/0000-0002-9270-7884")), person(given = "Jamie", family = "Afflerbach", role = c("rev"), email = "afflerbach@nceas.ucsb.edu", comment = c(ORCID = "https://orcid.org/0000-0002-5215-9342")), person(given = "RAM Legacy Stock Assessment Database", role = "dtc"))
Description: Contains functions to download, cache and read in 'Excel' version of the RAM Legacy Stock Assessment Data Base, an online compilation of stock assessment results for commercially exploited marine populations from around the world. The database is named after Dr. Ransom A. Myers whose original stock-recruitment database, is no longer being updated. More information about the database can be found at <https://ramlegacy.org/>. Ricard, D., Minto, C., Jensen, O.P. and Baum, J.K. (2012) <doi:10.1111/j.1467-2979.2011.00435.x>.
License: MIT + file LICENSE
URL: https://github.com/ropensci/ramlegacy
BugReports: https://github.com/ropensci/ramlegacy/issues
Depends: R (>= 2.10)
Imports: cli (>= 1.0.0), crayon (>= 1.3.4), httr (>= 1.3.1), rappdirs (>= 0.3.1), readxl (>= 1.1.0)
Suggests: covr, testthat, httptest, knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Language: en-CA
NeedsCompilation: no
Packaged: 2019-05-07 19:51:59 UTC; kshitiz
Author: Carl Boettiger [aut, cph] (<https://orcid.org/0000-0002-1642-628X>), Kshitiz Gupta [aut, cre, cph], Sam Albers [rev] (<https://orcid.org/0000-0002-9270-7884>), Jamie Afflerbach [rev] (<https://orcid.org/0000-0002-5215-9342>), RAM Legacy Stock Assessment Database [dtc]
Maintainer: Kshitiz Gupta <kshtzgupta1@berkeley.edu>
Repository: CRAN
Date/Publication: 2019-05-16 15:50:03 UTC

More information about ramlegacy at CRAN
Permanent link

New package LagSequential with initial version 0.1.1
Package: LagSequential
Type: Package
Title: Lag-Sequential Categorical Data Analysis
Version: 0.1.1
Date: 2019-05-15
Author: Zakary A. Draper & Brian P. O'Connor
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>
Depends: R(>= 1.9.0)
LazyLoad: yes
LazyData: yes
Description: Lag-sequential analysis is a method of assessing of patterns (what tends to follow what?) in sequences of codes. The codes are typically for discrete behaviors or states. The functions in this package read a stream of codes, or a frequency transition matrix, and produce a variety of lag sequential statistics, including transitional frequencies, expected transitional frequencies, transitional probabilities, z values, adjusted residuals, Yule's Q values, likelihood ratio tests of stationarity across time and homogeneity across groups or segments, transformed kappas for unidirectional dependence, bidirectional dependence, parallel and nonparallel dominance, and significance levels based on both parametric and randomization tests. The methods are described in Bakeman & Quera (2011) <doi:10.1017/CBO9781139017343>, O'Connor (1999) <doi:10.3758/BF03200753>, Wampold & Margolin (1982) <doi:10.1037/0033-2909.92.3.755>, and Wampold (1995, ISBN:0-89391-919-5).
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2019-05-15 09:45:58 UTC; brianoconnor
Repository: CRAN
Date/Publication: 2019-05-16 15:50:11 UTC

More information about LagSequential at CRAN
Permanent link

New package fy with initial version 0.1.0
Package: fy
Title: Utilities for Financial Years
Version: 0.1.0
Authors@R: person(given = "Hugh", family = "Parsonage", role = c("aut", "cre"), email = "hugh.parsonage@gmail.com")
Description: In Australia, a financial year (or fiscal year) is the period from 1 July to 30 June of the following calendar year. As such, many databases need to represent and validate financial years efficiently. While the use of integer years with a convention that they represent the year ending is common, it may lead to ambiguity with calendar years. On the other hand, string representations may be too inefficient and do not easily admit arithmetic operations. This package tries to make validation of financial years quicker while retaining clarity.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 3.1.0)
Imports: fastmatch, data.table, hutils, utils
Suggests: testthat, withr, rlang, zoo, covr
NeedsCompilation: no
Packaged: 2019-05-16 07:09:51 UTC; hughp
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-16 16:00:03 UTC

More information about fy at CRAN
Permanent link

New package explore with initial version 0.4.0
Package: explore
Type: Package
Title: Simplifies Exploratory Data Analysis
Version: 0.4.0
Author: Roland Krasser
Maintainer: Roland Krasser <roland.krasser@gmail.com>
Description: Interactive data exploration with one line of code or use a easy to remember set of tidy functions. Introduces two main verbs for data analysis. describe() to describe a variable or table, explore() to graphically explore a variable or table.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: http://github.com/rolkra/explore
Imports: broom, dplyr, DBI, DT, ggplot2 (>= 3.0.0), gridExtra, magrittr, MASS, odbc, rlang, rpart, rpart.plot, shiny, rmarkdown
RoxygenNote: 6.1.1
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-16 09:06:53 UTC; ujqb7lf
Repository: CRAN
Date/Publication: 2019-05-16 16:00:06 UTC

More information about explore at CRAN
Permanent link

New package virtualPollen with initial version 1.0.0
Package: virtualPollen
Type: Package
Title: Simulating Pollen Curves from Virtual Taxa with Different Life and Niche Traits
Version: 1.0.0
Authors@R: person(given="Blas M.", family="Benito", email="blasbenito@gmail.com", role=c("aut", "cre"))
Description: Tools to generate virtual environmental drivers with a given temporal autocorrelation, and to simulate pollen curves at annual resolution over millennial time-scales based on these drivers and virtual taxa with different life traits and niche features. It also provides the means to simulate quasi-realistic pollen-data conditions by applying simulated accumulation rates and given depth intervals between consecutive samples.
License: GPL (>= 2)
URL: https://github.com/BlasBenito/virtualPollen
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Depends: R (>= 2.10)
Imports: ggplot2, cowplot, viridis, mgcv, plyr, tidyr, stats
Suggests: devtools, formatR, kableExtra, magrittr, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2019-05-07 08:55:19 UTC; blas
Author: Blas M. Benito [aut, cre]
Maintainer: Blas M. Benito <blasbenito@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-16 13:40:03 UTC

More information about virtualPollen at CRAN
Permanent link

New package vaultr with initial version 1.0.2
Package: vaultr
Authors@R: c(person("Rich", "FitzJohn", role = c("aut", "cre"), email = "rich.fitzjohn@gmail.com"), person("Robert", "Ashton", role = "aut"), person("Wes", "Hinsley", role = "aut"), person("Imperial College of Science, Technology and Medicine", role = "cph"))
Title: Vault Client for Secrets and Sensitive Data
Version: 1.0.2
Description: Provides an interface to a 'HashiCorp' vault server over its http API (typically these are self-hosted; see <https://www.vaultproject.io>). This allows for secure storage and retrieval of secrets over a network, such as tokens, passwords and certificates. Authentication with vault is supported through several backends including user name/password and authentication via 'GitHub'.
License: MIT + file LICENSE
URL: https://github.com/vimc/vaultr
BugReports: https://github.com/vimc/vaultr/issues
SystemRequirements: vault
Imports: R6, getPass, httr, jsonlite
Suggests: knitr, mockery, processx, rmarkdown, testthat, withr
RoxygenNote: 6.1.1
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2019-05-15 14:10:57 UTC; rfitzjoh
Author: Rich FitzJohn [aut, cre], Robert Ashton [aut], Wes Hinsley [aut], Imperial College of Science, Technology and Medicine [cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-16 13:30:03 UTC

More information about vaultr at CRAN
Permanent link

New package rotor with initial version 0.2.1
Type: Package
Package: rotor
Title: Log Rotation and Conditional Backups
Version: 0.2.1
Authors@R: person(given = "Stefan", family = "Fleck", role = c("aut", "cre"), email = "stefan.b.fleck@gmail.com", comment = c(ORCID = "0000-0003-3344-9851"))
Maintainer: Stefan Fleck <stefan.b.fleck@gmail.com>
Description: Conditionally rotate or back-up files based on their size or the date of the last backup; inspired by the 'Linux' utility 'logrotate'.
License: MIT + file LICENSE
Imports: tools, R6, dint
Suggests: testthat, crayon, zip, mockery, withr, covr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-15 12:03:08 UTC; hoelk
Author: Stefan Fleck [aut, cre] (<https://orcid.org/0000-0003-3344-9851>)
Repository: CRAN
Date/Publication: 2019-05-16 13:30:08 UTC

More information about rotor at CRAN
Permanent link

New package redshiftTools with initial version 1.0.0
Package: redshiftTools
Type: Package
Title: Amazon Redshift Tools
Version: 1.0.0
Authors@R: person("Pablo", "Seibelt", email = "pabloseibelt@sicarul.com", role = c("aut", "cre"))
Depends: R (>= 3.3.0)
Imports: DBI, aws.s3, foreach, doParallel, parallel
Suggests: RJDBC, RPostgres
Description: Efficiently upload data into an Amazon Redshift database using the approach recommended by Amazon <https://aws.amazon.com/es/redshift/>.
URL: https://github.com/sicarul/redshiftTools
BugReports: https://github.com/sicarul/redshiftTools/issues
License: MIT + file LICENSE
LazyData: TRUE
RoxygenNote: 6.1.1
Collate: 'append.R' 'create.R' 'internal.R' 'replace.R' 'table_definition.R' 'upsert.R' 'upsert2.R'
NeedsCompilation: no
Packaged: 2019-05-15 14:35:16 UTC; pabloseibelt
Author: Pablo Seibelt [aut, cre]
Maintainer: Pablo Seibelt <pabloseibelt@sicarul.com>
Repository: CRAN
Date/Publication: 2019-05-16 13:40:08 UTC

More information about redshiftTools at CRAN
Permanent link

New package packMBPLSDA with initial version 0.6
Package: packMBPLSDA
Type: Package
Title: Multi-Block Partial Least Squares Discriminant Analysis
Version: 0.6
Date: 2019-05-05
Author: Marion Brandolini-Bunlon, Stephanie Bougeard, Melanie Petera, Estelle Pujos-Guillot
Maintainer: Marion Brandolini-Bunlon <marion.brandolini-bunlon@inra.fr>
Description: Several functions are provided to implement a MBPLSDA : components search, optimal model components number search, optimal model validity test by permutation tests, observed values evaluation of optimal model parameters and predicted categories, bootstrap values evaluation of optimal model parameters and predicted cross-validated categories. The use of this package is described in Brandolini-Bunlon et al (2019, Multi-block PLS discriminant analysis for the joint analysis of metabolomic and epidemiological data (submitted in Metabolomics)).
License: GPL (>= 2.0)
Depends: ade4, pROC
Imports: DiscriMiner, MASS, parallel, doParallel, foreach, FactoMineR
NeedsCompilation: no
Packaged: 2019-05-15 10:26:43 UTC; mbrandolini
Repository: CRAN
Date/Publication: 2019-05-16 13:30:12 UTC

More information about packMBPLSDA at CRAN
Permanent link

New package MChtest with initial version 1.0-3
Package: MChtest
Type: Package
Title: Monte Carlo Hypothesis Tests with Sequential Stopping
Version: 1.0-3
Date: 2019-05-14
Author: Michael P. Fay
Maintainer: Michael P. Fay <mfay@niaid.nih.gov>
Depends: stats
Description: Performs Monte Carlo hypothesis tests, allowing a couple of different sequential stopping boundaries. For example, a truncated sequential probability ratio test boundary (Fay, Kim and Hachey, 2007 <DOI:10.1198/106186007X257025>) and a boundary proposed by Besag and Clifford, 1991 <DOI:10.1093/biomet/78.2.301>. Gives valid p-values and confidence intervals on p-values.
License: GPL
URL: https://www.niaid.nih.gov/about/brb-staff-fay
NeedsCompilation: no
Packaged: 2019-05-15 13:13:49 UTC; faym
Repository: CRAN
Date/Publication: 2019-05-16 13:10:03 UTC

More information about MChtest at CRAN
Permanent link

New package text2speech with initial version 0.2.3
Type: Package
Package: text2speech
Title: Text to Speech
Version: 0.2.3
Authors@R: person(given = "John", family = "Muschelli", role = c("aut", "cre"), email = "muschellij2@gmail.com", comment = c(ORCID = "0000-0001-6469-1750"))
Description: Unifies different text to speech engines, such as Google, Microsoft, and Amazon. Text synthesis can be done in any engine with a simple switch of an argument denoting the service requested.
License: GPL-3
Suggests: covr, knitr, rmarkdown, testthat, stringi
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.1.1
URL: https://github.com/muschellij2/text2speech
BugReports: https://github.com/muschellij2/text2speech/issues
Imports: aws.polly, aws.signature, dplyr, googleAuthR, googleLanguageR, httr, mscstts (>= 0.5.1), tuneR, magrittr
NeedsCompilation: no
Packaged: 2019-05-14 17:24:23 UTC; johnmuschelli
Author: John Muschelli [aut, cre] (<https://orcid.org/0000-0001-6469-1750>)
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-16 12:50:02 UTC

More information about text2speech at CRAN
Permanent link

New package MobileTrigger with initial version 0.0.31
Package: MobileTrigger
Type: Package
Title: Run Reports, Models, and Scripts from a Mobile Device
Version: 0.0.31
Author: Kenith Grey
Maintainer: Kenith Grey <kenithgrey@r-bar.net>
Description: A framework for interacting with R modules such as Reports, Models, and Scripts from a mobile device. The framework allows you to list available modules and select a module of interest using a basic e-mail interface. After selecting a specific module, you can either run it as is or provide input via the e-mail interface. After parsing your request, R will send the results back to your mobile device.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: knitr, kableExtra, ggplot2, XML, plyr, utils, yaml, mailR
Depends: R (>= 3.0), caret
NeedsCompilation: no
Packaged: 2019-05-14 15:58:46 UTC; billy
Repository: CRAN
Date/Publication: 2019-05-16 12:50:12 UTC

More information about MobileTrigger at CRAN
Permanent link

New package glancedata with initial version 1.0.0
Package: glancedata
Type: Package
Title: Generate tables and plots to get summaries of data
Version: 1.0.0
Authors@R: person("Guillermo", "Basulto-Elias", email = "guillermobasulto@gmail.com", role = c("aut", "cre"))
Description: Generate data frames for all the variables with some summaries and also some plots for numerical variables. Several functions from the 'tidyverse' and 'GGally' packages are used.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: GGally, dplyr, forcats, ggplot2, openxlsx, purrr, tibble, tidyr, gridExtra
Suggests: testthat (>= 2.1.0), covr, spelling, knitr, rmarkdown, skimr
Depends: R (>= 3.5)
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-14 21:30:45 UTC; basulto
Author: Guillermo Basulto-Elias [aut, cre]
Maintainer: Guillermo Basulto-Elias <guillermobasulto@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-16 12:50:08 UTC

More information about glancedata at CRAN
Permanent link

New package briqr with initial version 0.1.0
Package: briqr
Title: Interface to the 'Briq' API
Version: 0.1.0
Authors@R: person(given = "David", family = "Rubinger", role = c("aut", "cre"), email = "david.rubinger@gmail.com")
Maintainer: David Rubinger <david.rubinger@gmail.com>
Description: An interface to the 'Briq' API <https://briq.github.io>. 'Briq' is a tool that aims to promote employee engagement by helping employees recognize and reward each other. Employees can praise and thank one another (for achieving a company goal, for example) by giving virtual credits (known as 'briqs' or 'bqs') that can be redeemed for various rewards. The 'Briq' API lets you create, read, update and delete users, user groups, transactions and messages. This package provides functions that simplify getting the users, user groups and transactions of your organization into R.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 3.6.0)
Imports: magrittr (>= 1.5), dplyr (>= 0.8.0.1), httr (>= 1.4.0), jsonlite (>= 1.6), tibble (>= 2.1.1)
Suggests: httptest (>= 3.2.2), testthat (>= 2.1.1)
NeedsCompilation: no
Packaged: 2019-05-14 16:55:26 UTC; david.rubinger
Author: David Rubinger [aut, cre]
Repository: CRAN
Date/Publication: 2019-05-16 12:30:03 UTC

More information about briqr at CRAN
Permanent link

New package rdoc with initial version 0.1.0
Package: rdoc
Type: Package
Title: Colourised R Documentation
Version: 0.1.0
Authors@R: person("Matthew", "de Queljoe", email = "matthew.dequeljoe@gmail.com", role = c("aut", "cre"))
Maintainer: Matthew de Queljoe <matthew.dequeljoe@gmail.com>
Description: Extends tools::Rd2txt() by adding customisable text and colour formatting to R documentation contents. If used from a terminal, output will be displayed via file.show() otherwise contents will be printed in sections. Also provides stand-in replacements for ?() and help().
URL: https://github.com/mdequeljoe/rdoc
BugReports: https://github.com/mdequeljoe/rdoc/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: R6, crayon, cli, prettycode, tools, utils
RoxygenNote: 6.1.1
Suggests: testthat, mockery, withr
NeedsCompilation: no
Packaged: 2019-05-13 12:43:53 UTC; matthew
Author: Matthew de Queljoe [aut, cre]
Repository: CRAN
Date/Publication: 2019-05-16 11:10:03 UTC

More information about rdoc at CRAN
Permanent link

New package psfmi with initial version 0.1.0
Package: psfmi
Type: Package
Depends: R (>= 3.4.0),
Imports: survival (> 2.41-3), car (> 3.0-0), norm (>= 1.0-9.5), miceadds (> 2.10-14), mitools (> 2.3), foreign (> 0.8-69), pROC (> 1.11.0), rms (> 5.1-2), ResourceSelection (> 0.3-2), ggplot2 (> 2.2.1)
Title: Prediction Model Selection and Performance Evaluation in Multiple Imputed Datasets
Version: 0.1.0
Authors@R: c( person("Martijn", "Heymans", email = "mw.heymans@amsterdamumc.nl", role=c("cre", "aut")), person("Iris", "Eekhout", email = "i.eekhout@tno.nl", role=c("ctb")))
Description: Provides functions to apply pooling or backward selection for logistic or Cox regression prediction models in multiple imputed datasets. Backward selection can be done from the pooled model using Rubin's Rules (RR), the total covariance matrix (D1 method), pooling chi-square values (D2 method), pooling likelihood ratio statistics (D3) or pooling the median p-values. The model can contain continuous, dichotomous, categorical predictors and interaction terms between all type of these predictors. Continuous predictors can also be introduced as restricted cubic spline coefficients. It is also possible to force (spline) predictors or interaction terms in the model during predictor selection. The package also contains functions to generate apparent model performance measures over imputed datasets as ROC/AUC, R-squares, fit test values and calibration plots. A wrapper function over Frank Harrell's validate function is used for that. Bootstrap internal validation is performed in each imputed dataset and results are pooled. Backward selection as part of internal validation is optional and recommended. Also a function to externally validate logistic prediction models in multiple imputed datasets is available. Eekhout (2017) <doi:10.1186/s12874-017-0404-7>. Wiel (2009) <doi:10.1093/biostatistics/kxp011>. Marshall (2009) <doi:10.1186/1471-2288-9-57>.
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
License: GPL (>= 2)
URL: https://github.com/mwheymans/psfmi
BugReports: https://github.com/mwheymans/psfmi/issues
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-14 07:30:45 UTC; mwhey
Author: Martijn Heymans [cre, aut], Iris Eekhout [ctb]
Maintainer: Martijn Heymans <mw.heymans@amsterdamumc.nl>
Repository: CRAN
Date/Publication: 2019-05-16 11:50:02 UTC

More information about psfmi at CRAN
Permanent link

New package panelr with initial version 0.7.0
Package: panelr
Title: Regression Models and Utilities for Repeated Measures and Panel Data
Version: 0.7.0
Authors@R: person("Jacob A.", "Long", email = "long.1377@osu.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1582-6214"))
Description: Provides an object type and associated tools for storing and wrangling panel data. Implements several methods for creating regression models that take advantage of the unique aspects of panel data. Among other capabilities, automates the "within-between" (also known as "between-within" and "hybrid") panel regression specification that combines the desirable aspects of both fixed effects and random effects econometric models and fits them as multilevel models (Allison, 2009 <doi:10.4135/9781412993869.d33>; Bell & Jones, 2015 <doi:10.1017/psrm.2014.7>). These models can also be estimated via generalized estimating equations (GEE; McNeish, 2019 <doi:10.1080/00273171.2019.1602504>) and Bayesian estimation is (optionally) supported via 'Stan'. Supports estimation of asymmetric effects models via first differences (Allison, 2019 <doi:10.1177/2378023119826441>) as well as a generalized linear model extension thereof using GEE.
URL: https://panelr.jacob-long.com
BugReports: https://github.com/jacob-long/panelr
Depends: R (>= 3.4.0), lme4
Imports: crayon, dplyr, Formula, ggplot2, jtools (>= 2.0.1), lmerTest, magrittr, methods, purrr, rlang (>= 0.3.0), stringr, tibble
Suggests: brms, broom, car, clubSandwich, geepack, nlme, plm, sandwich, skimr, tidyr (>= 0.8.3), testthat, covr, knitr, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1.9000
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-13 14:41:45 UTC; jlong
Author: Jacob A. Long [aut, cre] (<https://orcid.org/0000-0002-1582-6214>)
Maintainer: Jacob A. Long <long.1377@osu.edu>
Repository: CRAN
Date/Publication: 2019-05-16 11:10:07 UTC

More information about panelr at CRAN
Permanent link

New package ggPMX with initial version 0.9.1
Package: ggPMX
Title: 'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME Models
Description: At Novartis, we aimed at standardizing the set of diagnostic plots used for modeling activities in order to reduce the overall effort required for generating such plots. For this, we developed a guidance that proposes an adequate set of diagnostics and a toolbox, called 'ggPMX' to execute them. 'ggPMX' is a toolbox that can generate all diagnostic plots at a quality sufficient for publication and submissions using few lines of code.
Version: 0.9.1
Authors@R: c( person("Amine", "Gassem", email="contact@ag-study.com", role=c("cre","aut")), person("Bruno", "Bieth", email="biethb@hotmail.com", role="aut"), person("Irina", "Baltcheva", email="thomas.dumortier@novartis.com", role="aut"), person("Thomas", "Dumortier", email="christian.bartels@novartis.com", role="aut"), person("Christian", "Bartels", email="christian.bartels@novartis.com", role="aut"), person("Souvik", "Bhattacharya", email="souvik.bhattacharya@novartis.com", role="aut"), person("Inga", "Ludwig", email="ines.paule@novartis.com", role="aut"), person("Ines", "Paule", email="ines.paule@novartis.com", role="aut"), person("Didier", "Renard", email="didier.renard@novartis.com", role="aut"), person("Qing Xi", "Ooi", email="ooi.qingxi@gmail.com", role="ctr"), person("Novartis Pharma AG", role = c("cph")) )
Maintainer: Amine Gassem <contact@ag-study.com>
URL: https://github.com/ggPMXdevelopment/ggPMX
BugReports: https://github.com/ggPMXdevelopment/ggPMX/issues
Depends: R (>= 3.2.3)
Imports: data.table, yaml, R6, gtable, ggplot2 (>= 2.2.0), magrittr, stringr, assertthat, checkmate, GGally, zoo, knitr, rmarkdown
License: GPL-2
LazyData: true
Suggests: testthat, xtable
VignetteBuilder: knitr
NeedsCompilation: no
RoxygenNote: 6.0.1
Packaged: 2019-05-11 17:12:48 UTC; agstudy
Author: Amine Gassem [cre, aut], Bruno Bieth [aut], Irina Baltcheva [aut], Thomas Dumortier [aut], Christian Bartels [aut], Souvik Bhattacharya [aut], Inga Ludwig [aut], Ines Paule [aut], Didier Renard [aut], Qing Xi Ooi [ctr], Novartis Pharma AG [cph]
Repository: CRAN
Date/Publication: 2019-05-16 11:10:17 UTC

More information about ggPMX at CRAN
Permanent link

New package expose with initial version 0.0.3
Package: expose
Type: Package
Title: Multiple Effect Estimation of Chemicals in Environmental Epidemiology
Version: 0.0.3
Authors@R: person("Ibon", "Tamayo", email = "itamuria@gmail.com", role = c("aut", "cre"))
Description: Estimate individual and average joint effects of chemical mixtures, dose-response relationships, and potential interactions in environmental epidemiology. The visualization of interactions and the plotting of all the objects. For more information please, check next work: Youssef Oulhote, Marie-Abele Bind, Brent Coull, Chirag, Patel, Philippe Grandjean (2017) <https://www.biorxiv.org/content/early/2017/06/30/147413.article-info>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: RColorBrewer, ggplot2, repmis, SuperLearner, gam, splines, foreach, glmnet, Matrix, nnet, polspline, e1071, xgboost, Rcpp, stats
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-14 07:41:05 UTC; Usuario
Author: Ibon Tamayo [aut, cre]
Maintainer: Ibon Tamayo <itamuria@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-16 11:50:07 UTC

More information about expose at CRAN
Permanent link

New package DevTreatRules with initial version 1.0.0
Package: DevTreatRules
Type: Package
Title: Develop Treatment Rules with Observational Data
Version: 1.0.0
Authors@R: c(person("Jeremy", "Roth", email = "jhroth@uw.edu", role=c("cre", "aut")), person("Noah", "Simon", email = "nrsimon@uw.edu", role="aut"))
Description: Develop and evaluate treatment rules based on: (1) the standard indirect approach of split-regression, which fits regressions separately in both treatment groups and assigns an individual to the treatment option under which predicted outcome is more desirable; (2) the direct approach of outcome-weighted-learning proposed by Yingqi Zhao, Donglin Zeng, A. John Rush, and Michael Kosorok (2012) <doi:10.1080/01621459.2012.695674>; (3) the direct approach, which we refer to as direct-interactions, proposed by Shuai Chen, Lu Tian, Tianxi Cai, and Menggang Yu (2017) <doi:10.1111/biom.12676>. Please see the vignette for a walk-through of how to start with an observational dataset whose design is understood scientifically and end up with a treatment rule that is trustworthy statistically, along with an estimation of rule benefit in an independent sample.
Depends: R (>= 3.2.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Imports: glmnet, DynTxRegime, modelObj
Suggests: dplyr, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2019-05-13 20:31:43 UTC; jeremy
Author: Jeremy Roth [cre, aut], Noah Simon [aut]
Maintainer: Jeremy Roth <jhroth@uw.edu>
Repository: CRAN
Date/Publication: 2019-05-16 11:20:07 UTC

More information about DevTreatRules at CRAN
Permanent link

New package packageRank with initial version 0.1.0
Package: packageRank
Type: Package
Title: Computation and Visualization of Package Download Counts and Percentiles
Version: 0.1.0
Date: 2019-05-13
Authors@R: person("Peter Li", email = "lindbrook@gmail.com", role = c("aut", "cre"))
Maintainer: Peter Li <lindbrook@gmail.com>
Description: Compute and visualize the cross-sectional and longitudinal number and rank percentile of package downloads from RStudio's CRAN mirror.
URL: https://github.com/lindbrook/packageRank
BugReports: https://github.com/lindbrook/packageRank/issues
Depends: R (>= 3.4)
License: GPL (>= 2)
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
Imports: cranlogs, data.table, ggplot2, memoise, parallel, RCurl
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-13 16:43:53 UTC; peter
Author: Peter Li [aut, cre]
Repository: CRAN
Date/Publication: 2019-05-16 07:40:03 UTC

More information about packageRank at CRAN
Permanent link

Wed, 15 May 2019

New package trendyy with initial version 0.1.0
Package: trendyy
Title: A Tidy Wrapper Around 'gtrendsR'
Version: 0.1.0
Date: 2019-05-13
Authors@R: c( person("Josiah", "Parry", email = "josiah.parry@gmail.com", role = c("aut", "cre")) )
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Description: Access Google Trends information. This package provides a tidy wrapper to the 'gtrendsR' package. Use four spaces when indenting paragraphs within the Description.
License: GPL-2
Encoding: UTF-8
URL: https://github.com/josiahparry/trendyy
BugReports: https://github.com/josiahparry/trendyy/issues
Depends: R (>= 3.2.0)
Imports: gtrendsR, magrittr, dplyr, purrr, crayon, stringr, tibble
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-13 14:13:04 UTC; josiah
Author: Josiah Parry [aut, cre]
Repository: CRAN
Date/Publication: 2019-05-15 13:10:02 UTC

More information about trendyy at CRAN
Permanent link

New package SoftRandomForest with initial version 0.1.0
Package: SoftRandomForest
Version: 0.1.0
Date: 2019-05-05
Title: Classification Random Forests for Soft Decision Trees
Author: Gregory Hilleren <Gregory.Hilleren@gmail.com>
Maintainer: Gregory Hilleren <Gregory.Hilleren@gmail.com>
Depends: R (>= 3.4.0)
Description: Performs random forests for soft decision trees for a classification problem. Current limitations are for a maximum depth of 5 resulting in 16 terminal nodes. Some data cleaning is required before input. Final graphic output requires currently requires exporting to 'Microsoft Excel' for visualization. Method based on Irsoy, Yildiz and Alpaydin (2012, ISBN: 978-4-9906441-1-6).
Imports: boot, utils
License: CC0
URL: https://github.com/GregHilleren/SoftRandomForest
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-05-13 14:25:03 UTC; Gregory
Repository: CRAN
Date/Publication: 2019-05-15 13:20:03 UTC

More information about SoftRandomForest at CRAN
Permanent link

New package rotasym with initial version 1.0-5
Package: rotasym
Type: Package
Title: Tests for Rotational Symmetry on the Hypersphere
Version: 1.0-5
Date: 2019-05-13
Authors@R: c( person(given = "Eduardo", family = "García-Portugués", role = c("aut", "cre"), email = "edgarcia@est-econ.uc3m.es"), person(given = "Davy", family = "Paindaveine", role = "aut"), person(given = "Thomas", family = "Verdebout", role = "aut") )
Description: Implementation of the tests for rotational symmetry on the hypersphere proposed in García-Portugués, Paindaveine and Verdebout (2019) <arXiv:1706.05030>. The package also implements the proposed distributions on the hypersphere, based on the tangent-normal decomposition, and allows for the replication of the data application considered in the paper.
License: GPL-3
LazyData: true
Depends: R (>= 3.4.0), Rcpp, RcppZiggurat
Suggests: rgl, viridisLite
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/egarpor/rotasym
BugReports: https://github.com/egarpor/rotasym
Encoding: UTF-8
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-05-13 13:51:55 UTC; Eduardo
Author: Eduardo García-Portugués [aut, cre], Davy Paindaveine [aut], Thomas Verdebout [aut]
Maintainer: Eduardo García-Portugués <edgarcia@est-econ.uc3m.es>
Repository: CRAN
Date/Publication: 2019-05-15 13:10:05 UTC

More information about rotasym at CRAN
Permanent link

New package PHEindicatormethods with initial version 1.1.3
Package: PHEindicatormethods
Type: Package
Version: 1.1.3
Title: Common Public Health Statistics and their Confidence Intervals
Description: Functions to calculate commonly used public health statistics and their confidence intervals using methods approved for use in the production of Public Health England indicators such as those presented via Fingertips (<http://fingertips.phe.org.uk/>). It provides functions for the generation of proportions, crude rates, means, directly standardised rates, indirectly standardised rates, standardised mortality ratios, slope and relative index of inequality and life expectancy. Statistical methods are referenced in the following publications. Breslow NE, Day NE (1987) <doi:10.1002/sim.4780080614>. Dobson et al (1991) <doi:10.1002/sim.4780100317>. Armitage P, Berry G (2002) <doi:10.1002/9780470773666>. Wilson EB. (1927) <doi:10.1080/01621459.1927.10502953>. Altman DG et al (2000, ISBN: 978-0-727-91375-3). Chiang CL. (1968, ISBN: 978-0-882-75200-6). Newell C. (1994, ISBN: 978-0-898-62451-9). Eayres DP, Williams ES (2004) <doi:10.1136/jech.2003.009654>. Silcocks PBS et al (2001) <doi:10.1136/jech.55.1.38>. Low and Low (2004) <doi:10.1093/pubmed/fdh175>.
Authors@R: c(person("Anderson", "Georgina", , "georgina.anderson@phe.gov.uk", c("aut", "cre")), person("Fox", "Sebastian", , "sebastian.fox@phe.gov.uk", c("ctb")), person("Francis", "Matthew", , "matthew.francis@phe.gov.uk", c("ctb")), person("Fryers", "Paul", , "paul.fryers@phe.gov.uk", c("ctb")), person("Clegg", "Emma", , "emma.clegg@phe.gov.uk", c("ctb")))
BugReports: https://github.com/PublicHealthEngland/PHEindicatormethods/issues
Depends: R (>= 3.1.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr, rlang, broom, tidyr, purrr, stats
Suggests: knitr, readxl, rmarkdown, RODBC, testthat,
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-15 12:19:00 UTC; Georgina.Anderson
Author: Anderson Georgina [aut, cre], Fox Sebastian [ctb], Francis Matthew [ctb], Fryers Paul [ctb], Clegg Emma [ctb]
Maintainer: Anderson Georgina <georgina.anderson@phe.gov.uk>
Repository: CRAN
Date/Publication: 2019-05-15 13:30:03 UTC

More information about PHEindicatormethods at CRAN
Permanent link

New package FitUltD with initial version 3.0.0
Package: FitUltD
Type: Package
Title: Fit Univariate Mixed and Usual Distributions
Version: 3.0.0
Author: José Carlos Del Valle <jcval94@gmail.com>
Maintainer: José Carlos Del Valle <jcval94@gmail.com>
Description: Extends the fitdist() (from 'fitdistrplus') adding the Anderson-Darling ad.test() (from 'ADGofTest') and Kolmogorov Smirnov Test ks.test() inside and trying the distributions (from 'stats') by default and offering a second function which uses mixed distributions to fit, this distributions are split with unsupervised learning, with Mclust() function (from 'mclust').
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.2.0), mclust
Imports: ADGofTest, fitdistrplus, assertthat, MASS, purrr, ggplot2, cowplot, methods, stats
RoxygenNote: 6.1.1
URL: https://github.com/jcval94/FitUltD
BugReports: https://github.com/jcval94/FitUltD/issues
NeedsCompilation: no
Packaged: 2019-05-13 14:32:04 UTC; cody8
Repository: CRAN
Date/Publication: 2019-05-15 13:30:13 UTC

More information about FitUltD at CRAN
Permanent link

New package blaise with initial version 1.3.4
Package: blaise
Type: Package
Title: Read and Write FWF Files in the Blaise Format
Version: 1.3.4
Authors@R: person("Sjoerd", "Ophof", email = "sjoerd.ophof@gmail.com", role = c("aut", "cre"))
Description: Can be used to read and write a fwf with an accompanying blaise datamodel. When supplying a datamodel for writing, the dataframe will be automatically converted to that format and checked for compatibility. Supports dataframes, tibbles and LaF objects.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr (>= 0.7.2), readr (>= 1.1.1), stringr (>= 1.2.0), utils (>= 3.4.1), tibble (>= 1.3.3), tools (>= 3.4.1), methods (>= 3.4.1), stats (>= 3.4.1)
Suggests: testthat, LaF (>= 0.6.3), knitr, rmarkdown
RoxygenNote: 6.1.1
Collate: 'clean_model.R' 'generics.R' 'utils.R' 'variable.R' 'model.R' 'convert_df.R' 'convert_type.R' 'get_model.R' 'read_custom_types.R' 'read_data.R' 'read_data_laf.R' 'read_fwf_blaise.R' 'read_model.R' 'variable_custom.R' 'variable_date.R' 'variable_dummy.R' 'variable_enum.R' 'variable_integer.R' 'variable_real.R' 'variable_string.R' 'write_data.R' 'write_datamodel.R' 'write_fwf_blaise.R' 'write_fwf_blaise_with_model.R'
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-11 12:02:33 UTC; kingmob
Author: Sjoerd Ophof [aut, cre]
Maintainer: Sjoerd Ophof <sjoerd.ophof@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-15 13:00:03 UTC

More information about blaise at CRAN
Permanent link

New package daff with initial version 0.3.5
Package: daff
Version: 0.3.5
Title: Diff, Patch and Merge for Data.frames
Authors@R: c( person("Paul", "Fitzpatrick", email="paul@robotrebuilt.com", role=c("aut"), comment="JavaScript original, http://paulfitz.github.io/daff/"), person("Edwin", "de Jonge", email="edwindjonge@gmail.com", role=c("aut","cre"), comment=c("R wrapper", ORCID="0000-0002-6580-4718")), person( c("Gregory", "R."), "Warnes", email="gwarnes@mdsol.com", role=c("aut")) )
Description: Diff, patch and merge for data frames. Document changes in data sets and use them to apply patches. Changes to data can be made visible by using render_diff. The V8 package is used to wrap the 'daff.js' JavaScript library which is included in the package.
License: MIT + file LICENSE
LazyData: true
Imports: V8 (>= 0.6), jsonlite, utils
URL: http://github.com/edwindj/daff
Suggests: testthat
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-15 07:23:39 UTC; edwin
Author: Paul Fitzpatrick [aut] (JavaScript original, http://paulfitz.github.io/daff/), Edwin de Jonge [aut, cre] (R wrapper, <https://orcid.org/0000-0002-6580-4718>), Gregory R. Warnes [aut]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-15 09:20:03 UTC

More information about daff at CRAN
Permanent link

Tue, 14 May 2019

New package AzureKeyVault with initial version 1.0.0
Package: AzureKeyVault
Title: Key and Secret Management in 'Azure'
Version: 1.0.0
Authors@R: c( person("Hong", "Ooi", , "hongooi@microsoft.com", role = c("aut", "cre")), person("Microsoft", role="cph") )
Description: Manage keys, certificates, secrets, and storage accounts in Microsoft's 'Key Vault' service: <https://azure.microsoft.com/services/key-vault>. Provides facilities to store and retrieve secrets, use keys to encrypt, decrypt, sign and verify data, and manage certificates. Integrates with the 'AzureAuth' package to enable authentication with a certificate, and with the 'openssl' package for importing and exporting.
License: MIT + file LICENSE
URL: https://github.com/cloudyr/AzureKeyVault
BugReports: https://github.com/cloudyr/AzureKeyVault/issues
VignetteBuilder: knitr
Depends: R (>= 3.3),
Imports: utils, R6, httr, jsonlite, openssl, jose, AzureRMR, AzureGraph, AzureAuth (>= 1.0.1)
Suggests: AzureStor, knitr, testthat
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-12 22:00:14 UTC; hongo
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>
Repository: CRAN
Date/Publication: 2019-05-14 22:40:12 UTC

More information about AzureKeyVault at CRAN
Permanent link

New package metawho with initial version 0.1.0
Package: metawho
Type: Package
Title: Meta-Analytical Implementation to Identify Who Benefits Most from Treatments
Version: 0.1.0
Author: Shixiang Wang
Maintainer: Shixiang Wang <w_shixiang@163.com>
Description: A tool for implementing so called 'deft' approach (see Fisher, David J., et al. (2017) <DOI:10.1136/bmj.j573>) and model visualization.
Suggests: testthat, covr, knitr, rmarkdown
Depends: R (>= 3.5), metafor
Imports: stats, dplyr, purrr, magrittr
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-13 02:57:39 UTC; wsx
Repository: CRAN
Date/Publication: 2019-05-14 14:10:03 UTC

More information about metawho at CRAN
Permanent link

New package growthPheno with initial version 1.0-13
Package: growthPheno
Version: 1.0-13
Date: 2019-05-12
Title: Plotting, Smoothing and Growth Trait Extraction for Longitudinal Data
Authors@R: person("Chris","Brien", role = c("aut","cre"), comment = c(ORCID = "0000-0003-0581-1817"), email = "chris.brien@unisa.edu.au")
Depends: R (>= 3.5.0)
Imports: dae, ggplot2, stats, XLConnect, Hmisc, GGally, RColorBrewer, reshape, grid
Suggests: testthat, R.rsp
VignetteBuilder: R.rsp
Description: Assists in producing longitudinal or profile plots of measured traits. These allow checks to be made for anomalous data and growth patterns in the data to be explored. Smoothing of growth trends for individual plants using smoothing splines is available for removing transient effects. There are tools for diagnosing the adequacy of trait smoothing, either using this package or other packages, such as those that fit nonlinear growth models. A range of per-unit (pot, plant, plot) growth traits can be extracted from longitudinal data, including single time-point smoothed trait values and their growth rates, interval growth rates and other growth statistics, such as maximum growth. The package is particularly suited to preparing data from high-throughput phenotyping facilities, such as imaging data from a Lemna-Tec Scananalyzer (see <http://www.lemnatec.com/products/hardware-solutions/scanalyzer-3d> for more information). The package 'growthPheno' can also be installed from <http://chris.brien.name/rpackages/>.
License: GPL (>= 2)
URL: http://chris.brien.name
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2019-05-12 08:51:31 UTC; briencj
Author: Chris Brien [aut, cre] (<https://orcid.org/0000-0003-0581-1817>)
Maintainer: Chris Brien <chris.brien@unisa.edu.au>
Repository: CRAN
Date/Publication: 2019-05-14 14:20:07 UTC

More information about growthPheno at CRAN
Permanent link

New package R6DS with initial version 1.1.0
Package: R6DS
Type: Package
Title: R6 Reference Class Based Data Structures
Version: 1.1.0
Authors@R: person(given="Yukai",family="Yang",email="yukai.yang@statistik.uu.se",role=c("aut", "cre"),comment=c(ORCID="0000-0002-2623-8549"))
Description: Provides reference classes implementing some useful data structures. The package implements these data structures by using the reference class R6. Therefore, the classes of the data structures are also reference classes which means that their instances are passed by reference. The implemented data structures include stack, queue, double-ended queue, doubly linked list, set, dictionary and binary search tree. See for example <https://en.wikipedia.org/wiki/Data_structure> for more information about the data structures.
Depends: R (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://github.com/yukai-yang/R6DS
BugReports: https://github.com/yukai-yang/R6DS/issues
Imports: R6
NeedsCompilation: no
Packaged: 2019-05-13 00:56:43 UTC; yyang
Author: Yukai Yang [aut, cre] (<https://orcid.org/0000-0002-2623-8549>)
Maintainer: Yukai Yang <yukai.yang@statistik.uu.se>
Repository: CRAN
Date/Publication: 2019-05-14 14:00:12 UTC

More information about R6DS at CRAN
Permanent link

New package lotri with initial version 0.1.1
Package: lotri
Title: A Simple Way to Specify Symmetric, Block Diagonal Matrices
Version: 0.1.1
Authors@R: c(person("Matthew L.","Fidler", role = c("aut", "cre"), email = "matthew.fidler@gmail.com", comment=c(ORCID="0000-0001-8538-6691")))
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>
Description: Provides a simple mechanism to specify a symmetric block diagonal matrices (often used for covariance matrices). This is based on the domain specific language implemented in 'nlmixr' but expanded to create matrices in R generally instead of specifying parts of matrices to estimate.
Depends: R (>= 3.4.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: Matrix, methods
Suggests: testthat, covr, knitr, rmarkdown
RoxygenNote: 6.1.1
VignetteBuilder: knitr
BugReports: https://github.com/nlmixrdevelopment/lotri/issues
URL: https://github.com/nlmixrdevelopment/lotri
NeedsCompilation: no
Packaged: 2019-05-13 00:04:18 UTC; matt
Author: Matthew L. Fidler [aut, cre] (<https://orcid.org/0000-0001-8538-6691>)
Repository: CRAN
Date/Publication: 2019-05-14 14:00:09 UTC

More information about lotri at CRAN
Permanent link

New package ggsoccer with initial version 0.1.4
Package: ggsoccer
Title: Plot Soccer Event Data
Version: 0.1.4
Authors@R: person("Ben", "Torvaney", email = "torvaney@protonmail.com", role = c("aut", "cre"))
Description: The 'ggplot2' package provides a powerful set of tools for visualising and investigating data. The 'ggsoccer' package provides a set of functions for elegantly displaying and exploring soccer event data with 'ggplot2'. Providing extensible layers and themes, it is designed to work smoothly with a variety of popular sports data providers.
License: MIT + file LICENSE
URL: ggsoccer.statsandsnakeoil.com, github.com/Torvaney/ggsoccer
Depends: R (>= 3.3.0)
Imports: ggplot2
LazyData: true
RoxygenNote: 6.1.1
Encoding: UTF-8
BugReports: https://github.com/torvaney/ggsoccer/issues
NeedsCompilation: no
Packaged: 2019-05-12 20:56:13 UTC; bentorvaney
Author: Ben Torvaney [aut, cre]
Maintainer: Ben Torvaney <torvaney@protonmail.com>
Repository: CRAN
Date/Publication: 2019-05-14 13:40:02 UTC

More information about ggsoccer at CRAN
Permanent link

New package basket with initial version 0.9.2
Package: basket
Title: Basket Trial Analysis
Version: 0.9.2
Authors@R: c( person("Nan", "Chen", email = "nchen2@mdanderson.org", role = c("aut")), person("Brian", "Hobbs", email = "HobbsB@ccf.org", role = c("aut")), person("Alex", "Kaizer", email = "alex.kaizer@ucdenver.edu", role = c("aut")), person("Michael J.", "Kane", email = "michael.kane@yale.edu", role = c("aut", "cre"), comment = c(ORCID = "http://orcid.org/0000-0003-1899-6662")))
Description: Implementation of multisource exchangeability models for Bayesian analyses of prespecified subgroups arising in the context of basket trial design and monitoring. The R 'basket' package facilitates implementation of the binary, symmetric multi-source exchangeability model (MEM) with posterior inference arising from both exact computation and Markov chain Monte Carlo sampling. Analysis output includes full posterior samples as well as posterior probabilities, highest posterior density (HPD) interval boundaries, effective sample sizes (ESS), mean and median estimations, posterior exchangeability probability matrices, and maximum a posteriori MEMs. In addition to providing "basketwise" analyses, the package includes similar calculations for "clusterwise" analyses for which subgroups are combined into meta-baskets, or clusters, using graphical clustering algorithms that treat the posterior exchangeability probabilities as edge weights. In addition plotting tools are provided to visualize basket and cluster densities as well as their exchangeability. References include Hyman, D.M., Puzanov, I., Subbiah, V., Faris, J.E., Chau, I., Blay, J.Y., Wolf, J., Raje, N.S., Diamond, E.L., Hollebecque, A. and Gervais, R (2015) <doi:10.1056/NEJMoa1502309>; Hobbs, B.P. and Landin, R. (2018) <doi:10.1002/sim.7893>; Hobbs, B.P., Kane, M.J., Hong, D.S. and Landin, R. (2018) <doi:10.1093/annonc/mdy457>; and Kaizer, A.M., Koopmeiners, J.S. and Hobbs, B.P. (2017) <doi:10.1093/biostatistics/kxx031>.
Depends: R (>= 3.4.0)
License: LGPL-2
Maintainer: Michael J. Kane <michael.kane@yale.edu>
Imports: GenSA, foreach, ggplot2, stats, tibble, tidyr, dplyr, igraph, gridExtra, itertools, crayon, cli
LazyData: true
Encoding: UTF-8
RoxygenNote: 6.1.1
URL: https://github.com/kaneplusplus/basket
BugReports: https://github.com/kaneplusplus/basket/issues
Suggests: knitr, rmarkdown, testthat, doParallel
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-11 23:28:08 UTC; mike
Author: Nan Chen [aut], Brian Hobbs [aut], Alex Kaizer [aut], Michael J. Kane [aut, cre] (<https://orcid.org/0000-0003-1899-6662>)
Repository: CRAN
Date/Publication: 2019-05-14 13:50:03 UTC

More information about basket at CRAN
Permanent link

New package ASSOCShiny with initial version 0.1.0
Package: ASSOCShiny
Type: Package
Title: Interactive Document for Working with Association Rule Mining Analysis
Version: 0.1.0
Author: Kartikeya Bolar
Maintainer: Kartikeya Bolar <kartikeya.bolar@tapmi.edu.in>
Description: An interactive document on the topic of association rule mining analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://kartikeyabolar.shinyapps.io/ASSOCShiny/>.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.4.0)
Imports: shiny,rmarkdown,arules,arulesViz,shinyMatrix,plotly,dplyr,methods
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-05-11 23:20:37 UTC; KARTIKEYA
Repository: CRAN
Date/Publication: 2019-05-14 12:50:03 UTC

More information about ASSOCShiny at CRAN
Permanent link

Mon, 13 May 2019

New package radarBoxplot with initial version 0.2.6
Package: radarBoxplot
Title: Implementation of the Radar-Boxplot
Version: 0.2.6
Authors@R: person("Caio", "Hamamura", email = "caiohamamura@gmail.com", role = c("aut", "cre"))
Description: A wrapper around fmsb::radarchart() creating the radar-boxplot, a plot that was created by the author during his doctoring in forest resources. The radar-boxplot is a visualization feature suited for multivariate classification/clustering. It provides an intuitive deep understanding of the data.
Suggests: ggplot2, data.table, dplyr, magrittr
Imports: fmsb, plyr, scales
Depends: R (>= 3.5)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-10 16:01:26 UTC; caioh
Author: Caio Hamamura [aut, cre]
Maintainer: Caio Hamamura <caiohamamura@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-13 13:20:03 UTC

More information about radarBoxplot at CRAN
Permanent link

New package fgeo.tool with initial version 1.2.4
Package: fgeo.tool
Title: Import and Manipulate ForestGEO Data
Version: 1.2.4
Authors@R: c(person(given = "Mauro", family = "Lepore", role = c("aut", "ctr", "cre"), email = "leporem@si.edu", comment = c(ORCID = "0000-0002-1986-7988")), person(given = "Richard", family = "Condit", role = "aut", email = "richardcondit@gmail.com"), person(given = "Suzanne", family = "Lao", role = "aut", email = "laoz@si.edu"), person(given = "Anudeep", family = "Singh", role = "aut", email = "anudeep7@gmail.com"), person(given = "CTFS-ForestGEO", role = c("cph", "fnd"), email = "ForestGEO@si.edu"))
Description: To help you access, transform, analyze, and visualize ForestGEO data, we developed a collection of R packages (<https://forestgeo.github.io/fgeo/>). This package, in particular, helps you to easily import, filter, and modify ForestGEO data. To learn more about ForestGEO visit <http://www.forestgeo.si.edu/>.
License: GPL-3
URL: https://github.com/forestgeo/fgeo.tool
BugReports: https://github.com/forestgeo/fgeo.tool/issues
Depends: R (>= 3.2)
Imports: dplyr (>= 0.8.0.1), glue (>= 1.3.1), magrittr (>= 1.5), purrr (>= 0.3.2), readr (>= 1.3.1), rlang (>= 0.3.4), tibble (>= 2.1.1), tidyselect (>= 0.2.5)
Suggests: covr (>= 3.2.1), fgeo.x (>= 1.1.3), knitr (>= 1.22), pingr (>= 1.1.2), roxygen2 (>= 6.1.1), spelling (>= 2.1), stringr (>= 1.4.0), testthat (>= 2.1.1), tidyr (>= 0.8.3)
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-10 18:03:15 UTC; LeporeM
Author: Mauro Lepore [aut, ctr, cre] (<https://orcid.org/0000-0002-1986-7988>), Richard Condit [aut], Suzanne Lao [aut], Anudeep Singh [aut], CTFS-ForestGEO [cph, fnd]
Maintainer: Mauro Lepore <leporem@si.edu>
Repository: CRAN
Date/Publication: 2019-05-13 13:40:03 UTC

More information about fgeo.tool at CRAN
Permanent link

New package volesti with initial version 1.0.0
Package: volesti
Type: Package
License: LGPL-3
Title: Volume Approximation and Sampling of Convex Polytopes
Author: Vissarion Fisikopoulos <vissarion.fisikopoulos@gmail.com> [aut, cph, cre], Apostolos Chalkis <tolis.chal@gmail.com> [cph, aut], contributors in file inst/AUTHORS
Copyright: file inst/COPYRIGHTS
Description: Provides an R interface for 'volesti' C++ package. 'volesti' computes estimations of volume of polytopes given by a set of points or linear inequalities or Minkowski sum of segments (zonotopes). There are two algorithms for volume estimation (I.Z. Emiris and V. Fisikopoulos (2014) <arXiv:1312.2873> and B. Cousins, S. Vempala (2016) <arXiv:1409.6011>) as well as algorithms for sampling, rounding and rotating polytopes. Moreover, 'volesti' provides algorithms for estimating copulas (L. Cales, A. Chalkis, I.Z. Emiris, V. Fisikopoulos (2018) <arXiv:1803.05861>).
Version: 1.0.0
Date: 2019-05-10
Maintainer: Vissarion Fisikopoulos <vissarion.fisikopoulos@gmail.com>
Depends: Rcpp (>= 0.12.17)
Imports: methods
LinkingTo: Rcpp, RcppEigen, BH
Suggests: testthat
Encoding: UTF-8
RoxygenNote: 6.1.1
BugReports: https://github.com/GeomScale/volume_approximation/issues
NeedsCompilation: yes
Packaged: 2019-05-10 10:42:12 UTC; tolis
Repository: CRAN
Date/Publication: 2019-05-13 11:40:03 UTC

More information about volesti at CRAN
Permanent link

New package SGB with initial version 1.0
Package: SGB
Type: Package
Title: Simplicial Generalized Beta Regression
Version: 1.0
Date: 2019-05-09
Author: Monique Graf
Maintainer: Monique Graf <monique.p.n.graf@bluewin.ch>
Description: Main properties and regression procedures using a generalization of the Dirichlet distribution called Simplicial Generalized Beta distribution. It is a new distribution on the simplex (i.e. on the space of compositions or positive vectors with sum of components equal to 1). The Dirichlet distribution can be constructed from a random vector of independent Gamma variables divided by their sum. The SGB follows the same construction with generalized Gamma instead of Gamma variables. The Dirichlet exponents are supplemented by an overall shape parameter and a vector of scales. The scale vector is itself a composition and can be modeled with auxiliary variables through a log-ratio transformation. Graf, M. (2017, ISBN: 978-84-947240-0-8). See also the vignette enclosed in the package.
Depends: Formula
Imports: stats, MASS, numDeriv, alabama
Suggests: knitr, goftest
License: GPL (>= 2)
Encoding: latin1
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-10 07:29:31 UTC; monique
Repository: CRAN
Date/Publication: 2019-05-13 11:50:03 UTC

More information about SGB at CRAN
Permanent link

New package somspace with initial version 1.0.0
Package: somspace
Type: Package
Title: Spatial Analysis with Self-Organizing Maps
Version: 1.0.0
Authors@R: c(person("Yannis", "Markonis", role = c("aut", "cre"), email = "imarkonis@gmail.com"), person("Filip", "Strnad", role = "aut"), person("Simon Michael", "Papalexiou", role = "aut"))
Description: Application of the Self-Organizing Maps technique for spatial classification of time series. The package uses spatial data, point or gridded, to create clusters with similar characteristics. The clusters can be further refined to a smaller number of regions by hierarchical clustering and their spatial dependencies can be presented as complex networks. Thus, meaningful maps can be created, representing the regional heterogeneity of a single variable. More information and an example of implementation can be found in Markonis and Strnad (2019).
License: GPL-3
Depends: R (>= 3.4.0), ggplot2, data.table, kohonen, maps
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-10 07:07:49 UTC; markonis
Author: Yannis Markonis [aut, cre], Filip Strnad [aut], Simon Michael Papalexiou [aut]
Maintainer: Yannis Markonis <imarkonis@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-13 11:00:02 UTC

More information about somspace at CRAN
Permanent link

New package paws.networking with initial version 0.1.0
Package: paws.networking
Title: Amazon Web Services Networking & Content Delivery APIs
Version: 0.1.0
Authors@R: c(person(given = "David", family = "Kretch", role = c("aut", "cre"), email = "david.kretch@gmail.com"), person(given = "Adam", family = "Banker", role = "aut", email = "adam.banker39@gmail.com"), person(given = "Amazon.com, Inc.", role = "cph"))
Description: Interface to Amazon Web Services networking and content delivery APIs, including 'Route 53' Domain Name System service, 'CloudFront' content delivery, load balancing, and more <https://aws.amazon.com/>.
License: Apache License (>= 2.0)
Imports: paws.common
Suggests: testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Collate: 'apigateway_service.R' 'apigateway_interfaces.R' 'apigateway_operations.R' 'apigatewaymanagementapi_service.R' 'apigatewaymanagementapi_interfaces.R' 'apigatewaymanagementapi_operations.R' 'apigatewayv2_service.R' 'apigatewayv2_interfaces.R' 'apigatewayv2_operations.R' 'appmesh_service.R' 'appmesh_interfaces.R' 'appmesh_operations.R' 'cloudfront_service.R' 'cloudfront_interfaces.R' 'cloudfront_operations.R' 'directconnect_service.R' 'directconnect_interfaces.R' 'directconnect_operations.R' 'elb_service.R' 'elb_interfaces.R' 'elb_operations.R' 'elbv2_service.R' 'elbv2_interfaces.R' 'elbv2_operations.R' 'globalaccelerator_service.R' 'globalaccelerator_interfaces.R' 'globalaccelerator_operations.R' 'route53_service.R' 'route53_interfaces.R' 'route53_operations.R' 'route53domains_service.R' 'route53domains_interfaces.R' 'route53domains_operations.R' 'route53resolver_service.R' 'route53resolver_interfaces.R' 'route53resolver_operations.R' 'servicediscovery_service.R' 'servicediscovery_interfaces.R' 'servicediscovery_operations.R'
NeedsCompilation: no
Packaged: 2019-05-10 01:31:35 UTC; david.kretch
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-13 10:10:05 UTC

More information about paws.networking at CRAN
Permanent link

New package paws.management with initial version 0.1.0
Package: paws.management
Title: Amazon Web Services Management & Governance APIs
Version: 0.1.0
Authors@R: c(person(given = "David", family = "Kretch", role = c("aut", "cre"), email = "david.kretch@gmail.com"), person(given = "Adam", family = "Banker", role = "aut", email = "adam.banker39@gmail.com"), person(given = "Amazon.com, Inc.", role = "cph"))
Description: Interface to Amazon Web Services management and governance APIs, including 'CloudWatch' application and infrastructure monitoring, 'Auto Scaling' for automatically scaling resources, and more <https://aws.amazon.com/>.
License: Apache License (>= 2.0)
Imports: paws.common
Suggests: testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Collate: 'applicationautoscaling_service.R' 'applicationautoscaling_interfaces.R' 'applicationautoscaling_operations.R' 'autoscaling_service.R' 'autoscaling_interfaces.R' 'autoscaling_operations.R' 'autoscalingplans_service.R' 'autoscalingplans_interfaces.R' 'autoscalingplans_operations.R' 'cloudformation_service.R' 'cloudformation_interfaces.R' 'cloudformation_operations.R' 'cloudtrail_service.R' 'cloudtrail_interfaces.R' 'cloudtrail_operations.R' 'cloudwatch_service.R' 'cloudwatch_interfaces.R' 'cloudwatch_operations.R' 'cloudwatchevents_service.R' 'cloudwatchevents_interfaces.R' 'cloudwatchevents_operations.R' 'cloudwatchlogs_service.R' 'cloudwatchlogs_interfaces.R' 'cloudwatchlogs_operations.R' 'configservice_service.R' 'configservice_interfaces.R' 'configservice_operations.R' 'health_service.R' 'health_interfaces.R' 'health_operations.R' 'licensemanager_service.R' 'licensemanager_interfaces.R' 'licensemanager_operations.R' 'opsworks_service.R' 'opsworks_interfaces.R' 'opsworks_operations.R' 'opsworkscm_service.R' 'opsworkscm_interfaces.R' 'opsworkscm_operations.R' 'organizations_service.R' 'organizations_interfaces.R' 'organizations_operations.R' 'pi_service.R' 'pi_interfaces.R' 'pi_operations.R' 'resourcegroups_service.R' 'resourcegroups_interfaces.R' 'resourcegroups_operations.R' 'resourcegroupstaggingapi_service.R' 'resourcegroupstaggingapi_interfaces.R' 'resourcegroupstaggingapi_operations.R' 'servicecatalog_service.R' 'servicecatalog_interfaces.R' 'servicecatalog_operations.R' 'ssm_service.R' 'ssm_interfaces.R' 'ssm_operations.R' 'support_service.R' 'support_interfaces.R' 'support_operations.R'
NeedsCompilation: no
Packaged: 2019-05-10 01:34:30 UTC; david.kretch
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-13 10:10:23 UTC

More information about paws.management at CRAN
Permanent link

New package paws.customer.engagement with initial version 0.1.0
Package: paws.customer.engagement
Title: Amazon Web Services Customer Engagement APIs
Version: 0.1.0
Authors@R: c(person(given = "David", family = "Kretch", role = c("aut", "cre"), email = "david.kretch@gmail.com"), person(given = "Adam", family = "Banker", role = "aut", email = "adam.banker39@gmail.com"), person(given = "Amazon.com, Inc.", role = "cph"))
Description: Interface to Amazon Web Services customer engagement APIs, including 'Simple Email Service', 'Connect' contact center service, and more <https://aws.amazon.com/>.
License: Apache License (>= 2.0)
Imports: paws.common
Suggests: testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Collate: 'connect_service.R' 'connect_interfaces.R' 'connect_operations.R' 'pinpoint_service.R' 'pinpoint_interfaces.R' 'pinpoint_operations.R' 'pinpointemail_service.R' 'pinpointemail_interfaces.R' 'pinpointemail_operations.R' 'pinpointsmsvoice_service.R' 'pinpointsmsvoice_interfaces.R' 'pinpointsmsvoice_operations.R' 'ses_service.R' 'ses_interfaces.R' 'ses_operations.R'
NeedsCompilation: no
Packaged: 2019-05-10 01:33:30 UTC; david.kretch
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-13 10:10:40 UTC

More information about paws.customer.engagement at CRAN
Permanent link

New package paws.cost.management with initial version 0.1.0
Package: paws.cost.management
Title: Amazon Web Services Cost Management APIs
Version: 0.1.0
Authors@R: c(person(given = "David", family = "Kretch", role = c("aut", "cre"), email = "david.kretch@gmail.com"), person(given = "Adam", family = "Banker", role = "aut", email = "adam.banker39@gmail.com"), person(given = "Amazon.com, Inc.", role = "cph"))
Description: Interface to Amazon Web Services cost management APIs, including cost and usage reports, budgets, pricing, and more <https://aws.amazon.com/>.
License: Apache License (>= 2.0)
Imports: paws.common
Suggests: testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Collate: 'budgets_service.R' 'budgets_interfaces.R' 'budgets_operations.R' 'costandusagereportservice_service.R' 'costandusagereportservice_interfaces.R' 'costandusagereportservice_operations.R' 'costexplorer_service.R' 'costexplorer_interfaces.R' 'costexplorer_operations.R' 'marketplacecommerceanalytics_service.R' 'marketplacecommerceanalytics_interfaces.R' 'marketplacecommerceanalytics_operations.R' 'marketplaceentitlementservice_service.R' 'marketplaceentitlementservice_interfaces.R' 'marketplaceentitlementservice_operations.R' 'marketplacemetering_service.R' 'marketplacemetering_interfaces.R' 'marketplacemetering_operations.R' 'pricing_service.R' 'pricing_interfaces.R' 'pricing_operations.R'
NeedsCompilation: no
Packaged: 2019-05-10 01:36:54 UTC; david.kretch
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-13 10:10:51 UTC

More information about paws.cost.management at CRAN
Permanent link

Sat, 11 May 2019

New package AnaCoDa with initial version 0.1.3.0
Package: AnaCoDa
Type: Package
Title: Analysis of Codon Data under Stationarity using a Bayesian Framework
Version: 0.1.3.0
Date: 2019-05-11
Authors@R: c(person("Cedric", "Landerer", role = c("aut", "cre"), email = "cedric.landerer@gmail.com"), person("Gabriel", "Hanas", role = "ctb"), person("Jeremy", "Rogers", role = "ctb"), person("Alex", "Cope", role="ctb"), person("Denizhan", "Pak", role="ctb"))
Maintainer: Cedric Landerer <cedric.landerer@gmail.com>
URL: https://github.com/clandere/AnaCoDa
VignetteBuilder: knitr
NeedsCompilation: yes
Depends: R (>= 3.3.0), Rcpp (>= 0.11.3), methods, mvtnorm
Suggests: knitr, Hmisc, VGAM, coda, testthat, lmodel2
RcppModules: Test_mod, Trace_mod, CovarianceMatrix_mod, MCMCAlgorithm_mod, Model_mod, Parameter_mod, Genome_mod, Gene_mod, SequenceSummary_mod
Description: Is a collection of models to analyze genome scale codon data using a Bayesian framework. Provides visualization routines and checkpointing for model fittings. Currently published models to analyze gene data for selection on codon usage based on Ribosome Overhead Cost (ROC) are: ROC (Gilchrist et al. (2015) <doi:10.1093/gbe/evv087>), and ROC with phi (Wallace & Drummond (2013) <doi:10.1093/molbev/mst051>). In addition 'AnaCoDa' contains three currently unpublished models. The FONSE (First order approximation On NonSense Error) model analyzes gene data for selection on codon usage against of nonsense error rates. The PA (PAusing time) and PANSE (PAusing time + NonSense Error) models use ribosome footprinting data to analyze estimate ribosome pausing times with and without nonsense error rate from ribosome footprinting data.
License: GPL (>= 2)
Imports:
LinkingTo: Rcpp
LazyLoad: yes
LazyData: yes
RoxygenNote: 6.1.1
Packaged: 2019-05-11 15:01:40 UTC; landerer
Author: Cedric Landerer [aut, cre], Gabriel Hanas [ctb], Jeremy Rogers [ctb], Alex Cope [ctb], Denizhan Pak [ctb]
Repository: CRAN
Date/Publication: 2019-05-11 22:12:44 UTC

More information about AnaCoDa at CRAN
Permanent link

Fri, 10 May 2019

New package ISOpureR with initial version 1.1.3
Package: ISOpureR
Version: 1.1.3
Date: 2019-05-10
Title: Deconvolution of Tumour Profiles
Authors@R: c(person("Gerald Quon", role = "aut", email = "gquon@mit.edu"), person("Catalina V Anghel", role = c("aut", "trl"), email="catalina.anghel@alum.utoronto.ca"), person("Syed Haider", role = "aut", email="Syed.Haider@oicr.on.ca"), person("Francis Nguyen", role = "aut"), person("Amit G Deshwar", role = "aut"), person("Quaid D Morris", role = "aut", email = "Quaid.Morris@utoronto.ca"), person("Paul C Boutros", role = c("aut", "cre"), email = "pboutros@mednet.ucla.edu"))
Author: Gerald Quon [aut], Catalina V Anghel [aut, trl], Syed Haider [aut], Francis Nguyen [aut], Amit G Deshwar [aut], Quaid D Morris [aut], Paul C Boutros [aut, cre]
Maintainer: Paul C Boutros <pboutros@mednet.ucla.edu>
Depends: R (>= 3.1.1)
Imports: Rcpp (>= 0.11.3), stats, futile.logger
LinkingTo: Rcpp, RcppEigen (>= 0.3.2.2.0)
Suggests: knitr
VignetteBuilder: knitr
Description: Deconvolution of mixed tumour profiles into normal and cancer for each patient, using the ISOpure algorithm in Quon et al. Genome Medicine, 2013 5:29. Deconvolution requires mixed tumour profiles and a set of unmatched "basis" normal profiles.
License: GPL-2
NeedsCompilation: yes
Packaged: 2019-05-10 21:14:29 UTC; jmacdonald
Repository: CRAN
Date/Publication: 2019-05-11 00:00:03 UTC

More information about ISOpureR at CRAN
Permanent link

New package radlibs with initial version 0.1.0
Package: radlibs
Type: Package
Title: Build Your Own Madlibs!
Version: 0.1.0
Authors@R: c( person("Stephanie", "Kirmer", email = "stephanie@stephaniekirmer.com", role = c("aut", "cre")) )
Maintainer: Stephanie Kirmer <stephanie@stephaniekirmer.com>
Description: Make your phrase or sentence into something funny! Pass a string with the keywords in, and get out a bit of humor.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 3.5.0)
Imports: data.table, lexicon, stringr (>= 1.4), utils
Suggests: testthat
NeedsCompilation: no
Packaged: 2019-05-09 14:58:42 UTC; skirmer
Author: Stephanie Kirmer [aut, cre]
Repository: CRAN
Date/Publication: 2019-05-10 15:10:03 UTC

More information about radlibs at CRAN
Permanent link

New package owdbr with initial version 1.0.0.34
Package: owdbr
Title: Open Welfare Data Brazil
Version: 1.0.0.34
Authors@R: person("Joao Pedro", "Oliveira dos Santos", email = "joaopsantos@pm.me", role = c("aut", "cre"), comment= c(ORCID= "0000-0003-1752-265X"))
Description: Tools for collecting municipal-level data <http://www.transparencia.gov.br/swagger-ui.html> from several Brazilian governmental social programs.
Depends: R (>= 3.4.4)
License: MIT + file LICENSE
URL: https://github.com/kimjoaoun/owdbr
Encoding: UTF-8
LazyData: true
Imports: tibble, dplyr, httr, jsonlite, ckanr, data.table, rlang, magrittr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-09 17:20:25 UTC; joao
Author: Joao Pedro Oliveira dos Santos [aut, cre] (<https://orcid.org/0000-0003-1752-265X>)
Maintainer: Joao Pedro Oliveira dos Santos <joaopsantos@pm.me>
Repository: CRAN
Date/Publication: 2019-05-10 15:50:04 UTC

More information about owdbr at CRAN
Permanent link

New package gtsummary with initial version 0.1.0
Package: gtsummary
Title: Presentation-Ready Data Summary Tables
Version: 0.1.0
Authors@R: c(person(given = "Daniel D.", family = "Sjoberg", role = c("aut", "cre"), email = "danield.sjoberg@gmail.com"), person(given = "Emily C.", family = "Zabor", role = "aut"))
Description: Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with many types of statistics presented in any pattern. Regression models are summarized including the reference row for categorical independent variables. Function defaults follow reporting guidelines outlined in Assel, Sjoberg, et al. (2019) <doi:10.1016/j.eururo.2018.12.014>.
License: MIT + file LICENSE
Depends: R (>= 3.4)
Imports: broom (>= 0.5.1), broom.mixed (>= 0.2.3), car (>= 3.0.2), dplyr (>= 0.7.8), glue (>= 1.3.0), knitr (>= 1.21), magrittr (>= 1.5), MASS, purrr (>= 0.3.0), rlang (>= 0.3.1), stringr (>= 1.3.1), tibble (>= 2.0.1), tidyr (>= 0.8.2)
Suggests: covr (>= 3.2.1), ggplot2 (>= 3.1.0), kableExtra (>= 0.9.0), lme4 (>= 1.1.18.1), rmarkdown (>= 1.11), spelling (>= 2.1), survival, testthat (>= 2.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-09 16:05:37 UTC; SjobergD
Author: Daniel D. Sjoberg [aut, cre], Emily C. Zabor [aut]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-10 15:10:10 UTC

More information about gtsummary at CRAN
Permanent link

New package cartograflow with initial version 1.0.0
Package: cartograflow
Title: Filtering Matrix for Flow Mapping
Version: 1.0.0
Authors@R: c(person("Sylvain", "Blondeau", email = "blondeau.sylvain@yahoo.fr",role = c("aut","cre")), person("Francoise", "Bahoken", email = "francoise.bahoken@ifsttar.fr", role = "aut"))
Description: Functions to prepare and filter an origin-destination matrix for thematic flow mapping purposes. This comes after Bahoken, Francoise (2016), Mapping flow matrix a contribution, PhD in Geography - Territorial sciences. See Bahoken (2017) <doi:10.4000/netcom.2565>.
Depends: R (>= 3.4.0)
License: GPL-3
URL: https://halshs.archives-ouvertes.fr/tel-01273776 , http://journals.openedition.org/netcom/2565 , https://mappemonde-archive.mgm.fr/num44/articles/art14404.html
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, testthat, cartography
VignetteBuilder: knitr
Imports: dplyr, g.data, graphics, ggplot2, maptools, plotly, rgdal, rgeos, reshape2, rlang, sp, utils
NeedsCompilation: no
Packaged: 2019-05-09 17:37:15 UTC; sylvain
Author: Sylvain Blondeau [aut, cre], Francoise Bahoken [aut]
Maintainer: Sylvain Blondeau <blondeau.sylvain@yahoo.fr>
Repository: CRAN
Date/Publication: 2019-05-10 15:50:09 UTC

More information about cartograflow at CRAN
Permanent link

New package arse with initial version 1.0.0
Package: arse
Version: 1.0.0
Date: 2019-05-06
Title: Area of Resilience to Stress Event
Depends: R (>= 3.5.0), dplyr, pracma
Description: A method for quantifying resilience after a stress event. A set of functions calculate the area of resilience that is created by the departure of baseline 'y' (i.e., robustness) and the time taken 'x' to return to baseline (i.e., rapidity) after a stress event using the Cartesian coordinates of the data. This package has the capability to calculate areas of resilience, growth, and cases in which resilience is not achieved (e.g., diminished performance without return to baseline).
License: MIT + file LICENSE
Authors@R: c(person("Nathaniel", "Ratcliff", role = c("aut", "cre"), email = "nr3xe@virginia.edu"), person("Devika", "Nair", role = "aut"), person("Joshua", "Goldstein", role = "aut"), person("Teja", "Pristavec", role = "ctb"), person("Aaron", "Schroeder", role = "ctb"), person("Jon", "Spring", role = "ctb"))
Encoding: UTF-8
LazyData: TRUE
URL: https://github.com/nr3xe/arse
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-09 17:52:34 UTC; Nathaniel R
Author: Nathaniel Ratcliff [aut, cre], Devika Nair [aut], Joshua Goldstein [aut], Teja Pristavec [ctb], Aaron Schroeder [ctb], Jon Spring [ctb]
Maintainer: Nathaniel Ratcliff <nr3xe@virginia.edu>
Repository: CRAN
Date/Publication: 2019-05-10 15:50:16 UTC

More information about arse at CRAN
Permanent link

New package dplyr.teradata with initial version 0.3.2
Package: dplyr.teradata
Type: Package
Title: A 'Teradata' Backend for 'dplyr'
Version: 0.3.2
Description: A 'Teradata' backend for 'dplyr'. It makes it possible to operate 'Teradata' database <https://www.teradata.com/products-and-services/teradata-database/> in the same way as manipulating data frames with 'dplyr'.
Authors@R: c( person("Koji", "Makiyama", email = "hoxo.smile@gmail.com", role = c("cre", "aut")), person("Jim", "Hester", role = "ctb"))
URL: https://github.com/hoxo-m/dplyr.teradata
BugReports: https://github.com/hoxo-m/dplyr.teradata/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: dplyr (>= 0.8.0), dbplyr (>= 1.4.0)
Imports: bit64, DBI (>= 0.8), methods, odbc (>= 1.1.6), rstudioapi (>= 0.7)
Suggests: blob, covr, knitr, rmarkdown, testthat
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-10 09:09:04 UTC; kmakiyam
Author: Koji Makiyama [cre, aut], Jim Hester [ctb]
Maintainer: Koji Makiyama <hoxo.smile@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-10 12:00:07 UTC

More information about dplyr.teradata at CRAN
Permanent link

New package glmaag with initial version 0.0.6
Package: glmaag
Title: Adaptive LASSO and Network Regularized Generalized Linear Models
Version: 0.0.6
Date: 2019-05-09
Author: Kaiqiao Li [aut, cre], Pei Fen Kuan [aut], Xuefeng Wang [aut]
Maintainer: Kaiqiao Li <kaiqiao.li@stonybrook.edu>
Description: Efficient procedures for adaptive LASSO and network regularized for Gaussian, logistic, and Cox model. Provides network estimation procedure (combination of methods proposed by Ucar, et. al (2007) <doi:10.1093/bioinformatics/btm423> and Meinshausen and Buhlmann (2006) <doi:10.1214/009053606000000281>), cross validation and stability selection proposed by Meinshausen and Buhlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x> and Liu, Roeder and Wasserman (2010) <arXiv:1006.3316> methods. Interactive R app is available.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.6.0), survival, data.table
Imports: Rcpp (>= 1.0.0), methods, stats, Matrix, ggplot2, gridExtra, maxstat, survminer, plotROC, shiny, foreach, pROC, huge, OptimalCutpoints
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-05-10 02:34:26 UTC; Prob
Repository: CRAN
Date/Publication: 2019-05-10 07:50:16 UTC

More information about glmaag at CRAN
Permanent link

Thu, 09 May 2019

New package SpatialML with initial version 0.1.3
Package: SpatialML
Version: 0.1.3
Date: 2019-05-09
Type: Package
Title: Spatial Machine Learning
Author: Stamatis Kalogirou [aut, cre], Stefanos Georganos [aut, ctb]
Maintainer: Stamatis Kalogirou <stamatis@lctools.science>
Depends: R (>= 3.5.0), randomForest (>= 4.6-14)
Description: Implements a spatial extension of the random forest algorithm (Georganos et al. (2019) <doi:10.1080/10106049.2019.1595177>). Future updates include more local machine learning methods as well as a geographically weighted random forest.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
URL: http://lctools.science/
NeedsCompilation: no
Packaged: 2019-05-09 07:34:18 UTC; Stamatis
Repository: CRAN
Date/Publication: 2019-05-09 15:10:07 UTC

More information about SpatialML at CRAN
Permanent link

New package shinylogs with initial version 0.1.5
Package: shinylogs
Title: Record Everything that Happens in a 'Shiny' Application
Version: 0.1.5
Authors@R: c(person("Fanny", "Meyer", email = "fanny.meyer@dreamrs.fr", role = c("aut")), person("Victor", "Perrier", email = "victor.perrier@dreamrs.fr", role = c("aut", "cre")), person("Silex Technologies", comment = "https://www.silex-ip.com", role = "fnd"), person("iamkun", role = "cph", comment = "dayjs library"), person("Mozilla", role = "cph", comment = "localForage library"))
Description: Track and record the use of applications and the user's interactions with 'Shiny' inputs. Allow to save inputs clicked, output generated and eventually errors.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://github.com/dreamRs/shinylogs
BugReports: https://github.com/dreamRs/shinylogs/issues
Imports: htmltools, shiny (>= 1.1.0), jsonlite, data.table, bit64, nanotime, digest, anytime, DBI, RSQLite
Suggests: testthat
NeedsCompilation: no
Packaged: 2019-05-08 17:37:17 UTC; perri
Author: Fanny Meyer [aut], Victor Perrier [aut, cre], Silex Technologies [fnd] (https://www.silex-ip.com), iamkun [cph] (dayjs library), Mozilla [cph] (localForage library)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>
Repository: CRAN
Date/Publication: 2019-05-09 15:50:02 UTC

More information about shinylogs at CRAN
Permanent link

New package photosynthesis with initial version 1.0.0
Package: photosynthesis
Version: 1.0.0
Date: 2019-05-08
Title: Model C3 Photosynthesis
Authors@R: person("Chris", "Muir", role = c("aut", "cre"), email = "cdmuir@hawaii.edu")
Depends: R (>= 3.5.0), units (>= 0.6.0)
Imports: crayon (>= 1.3.0), dplyr (>= 0.8.0), furrr (>= 0.1.0), future (>= 1.10.0), glue (>= 1.3.0), gunit (>= 1.0.0), magrittr (>= 1.5.0), methods (>= 3.5.0), purrr (>= 0.2.5), rlang (>= 0.3.0), stringr (>= 1.3.0), tealeaves (>= 1.0.0), tidyr (>= 0.8.2), tidyselect (>= 0.2.5)
Suggests: ggplot2, testthat, knitr, rmarkdown
Description: Simulate C3 photosynthesis using the Farquhar, von Caemmerer, Berry (1980) <doi:10.1007/BF00386231> model as described in Buckley and Diaz-Espejo (2015) <doi:10.1111/pce.12459>. It uses units to ensure that parameters are properly specified and transformed before calculations. Temperature response functions get automatically "baked" into all parameters based on leaf temperature following Bernacchi et al. (2002) <doi:10.1104/pp.008250>. The package includes boundary layer, cuticular, stomatal, and mesophyll conductances to CO2, which each can vary on the upper and lower portions of the leaf. Use straightforward functions to simulate photosynthesis over environmental gradients such as Photosynthetic Photon Flux Density (PPFD) and leaf temperature, or over trait gradients such as CO2 conductance or photochemistry.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-09 09:30:30 UTC; cdmuir
Author: Chris Muir [aut, cre]
Maintainer: Chris Muir <cdmuir@hawaii.edu>
Repository: CRAN
Date/Publication: 2019-05-09 15:10:03 UTC

More information about photosynthesis at CRAN
Permanent link

New package paws.machine.learning with initial version 0.1.0
Package: paws.machine.learning
Title: Amazon Web Services Machine Learning APIs
Version: 0.1.0
Authors@R: c(person(given = "David", family = "Kretch", role = c("aut", "cre"), email = "david.kretch@gmail.com"), person(given = "Adam", family = "Banker", role = "aut", email = "adam.banker39@gmail.com"), person(given = "Amazon.com, Inc.", role = "cph"))
Description: Interface to Amazon Web Services machine learning APIs, including 'SageMaker' managed machine learning service, natural language processing, speech recognition, translation, and more <https://aws.amazon.com/machine-learning/>.
License: Apache License (>= 2.0)
Imports: paws.common
Suggests: testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Collate: 'comprehend_service.R' 'comprehend_interfaces.R' 'comprehend_operations.R' 'comprehendmedical_service.R' 'comprehendmedical_interfaces.R' 'comprehendmedical_operations.R' 'lexmodelbuildingservice_service.R' 'lexmodelbuildingservice_interfaces.R' 'lexmodelbuildingservice_operations.R' 'lexruntimeservice_service.R' 'lexruntimeservice_interfaces.R' 'lexruntimeservice_operations.R' 'machinelearning_service.R' 'machinelearning_interfaces.R' 'machinelearning_operations.R' 'polly_service.R' 'polly_interfaces.R' 'polly_operations.R' 'rekognition_service.R' 'rekognition_interfaces.R' 'rekognition_operations.R' 'sagemaker_service.R' 'sagemaker_interfaces.R' 'sagemaker_operations.R' 'sagemakerruntime_service.R' 'sagemakerruntime_interfaces.R' 'sagemakerruntime_operations.R' 'textract_service.R' 'textract_interfaces.R' 'textract_operations.R' 'transcribeservice_service.R' 'transcribeservice_interfaces.R' 'transcribeservice_operations.R' 'translate_service.R' 'translate_interfaces.R' 'translate_operations.R'
NeedsCompilation: no
Packaged: 2019-05-01 00:00:58 UTC; david.kretch
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-09 15:20:03 UTC

More information about paws.machine.learning at CRAN
Permanent link

New package paws.analytics with initial version 0.1.0
Package: paws.analytics
Title: Amazon Web Services Analytics APIs
Version: 0.1.0
Authors@R: c(person(given = "David", family = "Kretch", role = c("aut", "cre"), email = "david.kretch@gmail.com"), person(given = "Adam", family = "Banker", role = "aut", email = "adam.banker39@gmail.com"), person(given = "Amazon.com, Inc.", role = "cph"))
Description: Interface to Amazon Web Services analytics APIs, including 'Elastic MapReduce' 'Hadoop' and 'Spark' big data service, 'Elasticsearch' search engine, and more <https://aws.amazon.com/>.
License: Apache License (>= 2.0)
Imports: paws.common
Suggests: testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Collate: 'athena_service.R' 'athena_interfaces.R' 'athena_operations.R' 'cloudsearch_service.R' 'cloudsearch_interfaces.R' 'cloudsearch_operations.R' 'cloudsearchdomain_service.R' 'cloudsearchdomain_interfaces.R' 'cloudsearchdomain_operations.R' 'datapipeline_service.R' 'datapipeline_interfaces.R' 'datapipeline_operations.R' 'elasticsearchservice_service.R' 'elasticsearchservice_interfaces.R' 'elasticsearchservice_operations.R' 'emr_service.R' 'emr_interfaces.R' 'emr_operations.R' 'firehose_service.R' 'firehose_interfaces.R' 'firehose_operations.R' 'glue_service.R' 'glue_interfaces.R' 'glue_operations.R' 'kafka_service.R' 'kafka_interfaces.R' 'kafka_operations.R' 'kinesis_service.R' 'kinesis_interfaces.R' 'kinesis_operations.R' 'kinesisanalytics_service.R' 'kinesisanalytics_interfaces.R' 'kinesisanalytics_operations.R' 'kinesisanalyticsv2_service.R' 'kinesisanalyticsv2_interfaces.R' 'kinesisanalyticsv2_operations.R' 'mturk_service.R' 'mturk_interfaces.R' 'mturk_operations.R' 'quicksight_service.R' 'quicksight_interfaces.R' 'quicksight_operations.R'
NeedsCompilation: no
Packaged: 2019-04-30 23:52:37 UTC; david.kretch
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-09 15:20:11 UTC

More information about paws.analytics at CRAN
Permanent link

New package paws with initial version 0.1.0
Package: paws
Title: Amazon Web Services Software Development Kit
Version: 0.1.0
Authors@R: c(person(given = "David", family = "Kretch", role = c("aut", "cre"), email = "david.kretch@gmail.com"), person(given = "Adam", family = "Banker", role = "aut", email = "adam.banker39@gmail.com"), person(given = "Amazon.com, Inc.", role = "cph"))
Description: Interface to Amazon Web Services <https://aws.amazon.com>, including storage, database, and compute services, such as 'Simple Storage Service' ('S3'), 'DynamoDB' 'NoSQL' database, and 'Lambda' functions-as-a-service.
License: Apache License (>= 2.0)
Imports: paws.compute, paws.storage, paws.database, paws.security.identity, paws.application.integration
Suggests: testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-08 02:27:51 UTC; david.kretch
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-09 15:30:03 UTC

More information about paws at CRAN
Permanent link

New package KNNShiny with initial version 0.1.0
Package: KNNShiny
Type: Package
Title: Interactive Document for Working with KNN Analysis
Version: 0.1.0
Author: Kartikeya Bolar
Maintainer: Kartikeya Bolar <kartikeya.bolar@tapmi.edu.in>
Description: An interactive document on the topic of K-nearest neighbour (KNN) using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://kartikeyabolar.shinyapps.io/KNNShiny/>.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.0.3)
Imports: shiny,rmarkdown,dplyr,datasets,caret,e1071,rhandsontable,psycho,FNN
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-05-08 19:40:39 UTC; KARTIKEYA
Repository: CRAN
Date/Publication: 2019-05-09 16:00:07 UTC

More information about KNNShiny at CRAN
Permanent link

New package IDmeasurer with initial version 1.0.0
Package: IDmeasurer
Type: Package
Title: Assessment of Individual Identity in Animal Signals
Version: 1.0.0
Authors@R: person("Pavel", "Linhart", email = "pavel.linhart@centrum.cz", role = c("aut", "cre"))
Maintainer: Pavel Linhart <pavel.linhart@centrum.cz>
Description: Provides tools for assessment and quantification of individual identity information in animal signals. This package accompanies a research article by Linhart et al. (2019) <doi:10.1101/546143>: "Measuring individual identity information in animal signals: Overview and performance of available identity metrics".
Depends: R (>= 2.10)
License: CC0
Encoding: UTF-8
LazyData: true
Imports: MASS, infotheo, lme4
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-09 08:01:34 UTC; pavel
Author: Pavel Linhart [aut, cre]
Repository: CRAN
Date/Publication: 2019-05-09 15:10:10 UTC

More information about IDmeasurer at CRAN
Permanent link

New package BLRShiny with initial version 0.1.0
Package: BLRShiny
Type: Package
Title: Interactive Document for Working with Binary Logistic Regression Analysis
Version: 0.1.0
Author: Kartikeya Bolar
Maintainer: Kartikeya Bolar <kartikeya.bolar@tapmi.edu.in>
Description: An interactive document on the topic of binary logistic regression analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://analyticmodels.shinyapps.io/BinaryLogisticRegressionModelling/>.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.0.3)
Imports: shiny,rmarkdown,dplyr,datasets,caret,e1071,rhandsontable,ggplot2
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-05-05 01:26:36 UTC; KARTIKEYA
Repository: CRAN
Date/Publication: 2019-05-09 15:50:10 UTC

More information about BLRShiny at CRAN
Permanent link

New package SAGMM with initial version 0.2.3
Package: SAGMM
Type: Package
Title: Clustering via Stochastic Approximation and Gaussian Mixture Models
Version: 0.2.3
Date: 2019-05-07
Author: Andrew T. Jones, Hien D. Nguyen
Maintainer: Andrew T. Jones <andrewthomasjones@gmail.com>
Description: Computes clustering by fitting Gaussian mixture models (GMM) via stochastic approximation following the methods of Nguyen and Jones (2018) <doi:10.1201/9780429446177>. It also provides some test data generation and plotting functionality to assist with this process.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 0.12.13), MixSim, mvtnorm, mclust, stats, lowmemtkmeans
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.1.1
Suggests: testthat, ggplot2
NeedsCompilation: yes
Packaged: 2019-05-09 01:35:34 UTC; andrewjones
Repository: CRAN
Date/Publication: 2019-05-09 15:00:02 UTC

More information about SAGMM at CRAN
Permanent link

New package nmadb with initial version 1.0.0
Package: nmadb
Type: Package
Title: Network Meta-Analysis Database API
Version: 1.0.0
Date: 2019-05-02
Authors@R: person("Theodoros", "Papakonstantinou", role = c("aut", "cre"), email = "theodoros.papakonstantinou@ispm.unibe.ch", comment = c(ORCID = "0000-0002-6630-6817"))
Description: Set of functions for accessing database of network meta-analyses described in Petropoulou M, et al. Bibliographic study showed improving statistical methodology of network meta-analyses published between 1999 and 2015 <doi:10.1016/j.jclinepi.2016.11.002>. The database is hosted in a REDcap database at the Institute of Social and Preventive Medicine (ISPM) in the University of Bern.
License: GPL-3
LazyLoad: Yes
Depends: R (>= 3.3.1)
Imports: devtools , RCurl , readxl , jsonlite
Suggests: netmeta (>= 1.0-1) , V8
Encoding: UTF-8
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-08 13:38:19 UTC; tosku
Author: Theodoros Papakonstantinou [aut, cre] (<https://orcid.org/0000-0002-6630-6817>)
Maintainer: Theodoros Papakonstantinou <theodoros.papakonstantinou@ispm.unibe.ch>
Repository: CRAN
Date/Publication: 2019-05-09 14:20:04 UTC

More information about nmadb at CRAN
Permanent link

New package mapcan with initial version 0.0.1
Package: mapcan
Type: Package
Title: Tools for Plotting Canadian Choropleth Maps and Choropleth Alternatives
Version: 0.0.1
Authors@R: c( person("Andrew", "McCormack", email = "mccormack.andy@gmail.com", role = c("aut", "cre")), person("Aaron", "Erlich", email = "aaron.erlich@mcgill.ca", role = c("aut")))
Maintainer: Andrew McCormack <mccormack.andy@gmail.com>
Description: A variety of functions that make it easy to plot standard choropleth maps as well as choropleth alternatives in 'ggplot2'.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
RoxygenNote: 6.1.1
Imports: dplyr, ggplot2, magrittr
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-08 14:49:26 UTC; andrewmccormack
Author: Andrew McCormack [aut, cre], Aaron Erlich [aut]
Repository: CRAN
Date/Publication: 2019-05-09 14:30:03 UTC

More information about mapcan at CRAN
Permanent link

New package HACSim with initial version 1.0.0
Package: HACSim
Type: Package
Title: Iterative Extrapolation of Species' Haplotype Accumulation Curves
Version: 1.0.0
Date: 2019-04-15
Author: Jarrett D. Phillips [aut, cre], Steven H. French [ctb]
Maintainer: Jarrett D. Phillips <phillipsjarrett1@gmail.com>
Description: Performs iterative extrapolation of species' haplotype accumulation curves using a nonparametric stochastic (Monte Carlo) method for assessment of specimen sampling completeness based on the approach of Phillips et al. (2015) <doi:10.1515/dna-2015-0008> and Phillips et al. (2019) <doi:10.1002/ece3.4757>.
License: GPL-3
NeedsCompilation: yes
Imports: ape (>= 5.2), graphics (>= 3.5.1), pegas (>= 0.11), Rcpp (>= 1.0.0), stats (>= 3.5.1), utils (>= 3.5.1)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.1.1
Packaged: 2019-05-06 15:18:39 UTC; jarrettphillips
Repository: CRAN
Date/Publication: 2019-05-09 14:10:06 UTC

More information about HACSim at CRAN
Permanent link

New package fgeo.x with initial version 1.1.3
Package: fgeo.x
Title: Access Small ForestGEO Datasets For Examples
Version: 1.1.3
Authors@R: c(person(given = "Mauro", family = "Lepore", role = c("aut", "ctr", "cre"), email = "leporem@si.edu", comment = c(ORCID = "0000-0002-1986-7988")), person(given = "Jess", family = "Zimmerman", role = "dtc", email = "jesskz@ites.upr.edu"), person(given = "CTFS-ForestGEO", role = c("cph", "fnd"), email = "ForestGEO@si.edu"))
Description: Access small example datasets from Luquillo, a ForestGEO site in Puerto Rico (<https://forestgeo.si.edu/sites/north-america/luquillo>).
License: GPL-3
URL: https://github.com/forestgeo/fgeo.x
BugReports: https://github.com/forestgeo/fgeo.x/issues
Depends: R (>= 3.2)
Imports: memoise (>= 1.1.0), utils
Suggests: spelling (>= 2.1), testthat (>= 2.1.1)
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-07 17:05:37 UTC; leporem
Author: Mauro Lepore [aut, ctr, cre] (<https://orcid.org/0000-0002-1986-7988>), Jess Zimmerman [dtc], CTFS-ForestGEO [cph, fnd]
Maintainer: Mauro Lepore <leporem@si.edu>
Repository: CRAN
Date/Publication: 2019-05-09 14:10:03 UTC

More information about fgeo.x at CRAN
Permanent link

New package BayesianFROC with initial version 0.1.1
Package: BayesianFROC
Type: Package
Title: FROC Analysis by Bayesian Approaches
Version: 0.1.1
Authors@R: person(given = "Issei", family = "Tsunoda", role = c("aut", "cre"), email = "tsunoda.issei1111@gmail.com")
Maintainer: Issei Tsunoda <tsunoda.issei1111@gmail.com>
Description: For details please see vignettes in this package. This package aims to provide new methods for the so-called Free-response Receiver Operating Characteristic (FROC) analysis. The ultimate aim of FROC analysis is to compare observer performances, which means comparing characteristics, such as area under the curve (AUC) or figure of merit (FOM). In this package, we only use the notion of AUC for modality comparison. In the radiological FROC context, by a word modality we mean imaging methods such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT),Positron Emission Tomography (PET). So there is a problem that which imaging method is better to detect the lesions from shadows in radiographs. To solve the modality comparison issues, this package provides the new methods using hierarchical Bayesian models proposed by the author of this package. Using this package, one can obtain at least one conclusion that which imaging methods are better for finding lesions in radiographs with the case of your data. Fitting FROC statistical models is sometimes not so good, it can easily confirm by drawing FROC curves and comparing the curves and the points constructed by False Positive fractions (FPFs) and True Positive Fractions (TPFs), we can validate the goodness of fit intuitively. Such validation is also implemented by the Chi square goodness of fit statistics in the Bayesian context in which the parameter is not deterministic, thus by integrating it with the posterior predictive measure, we get a desired value. To compare each imaging methods, i.e., modalities, we evaluate the AUC for each modality which gives us a comparison of modalities. FROC is developed by Dev Chakraborty, his FROC model in 1989 paper relies on the maximal likelihood methodology. In this package, I modified and provided the alternative Bayesian FROC model. Strictly speaking, his model does not coincide with models in this package. I hope that medical researchers use not only the frequentist method but also alternative Bayesian methods. In medical research, many problems are considered under only frequentist methods, such as the notion of p-values. But p-value is sometimes misunderstood. Bayesian methods provide very simple, direct, intuitive answer for research questions. To know how to use this package, please execute the following codes from the R (R studio) console, demo(demo_MRMC,package="BayesianFROC"); demo(demo_srsc, package="BayesianFROC"); demo(demo_stan, package = "BayesianFROC"); demo(demo_drawcurves_srsc, package="BayesianFROC"); demo_Bayesian_FROC(). References: Dev Chakraborty (1989) <doi:10.1118/1.596358> Maximum likelihood analysis of free - response receiver operating characteristic (FROC) data. Pre-print: Issei Tsunoda; Bayesian Models for free-response receiver operating characteristic analysis. Combining frequentist methods with Bayesian methods, we can obtain more reliable answer for research questions.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: knitr, readxl, openxlsx, xlsx, stats, graphics, tcltk, grDevices, ggplot2, methods, rstantools, car, hexbin, MASS, crayon, DiagrammeR
Suggests: rmarkdown
Depends: rstan (>= 2.18.2), R (>= 3.4.0), Rcpp
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2019-05-04 09:53:36 UTC; 81909
Author: Issei Tsunoda [aut, cre]
Repository: CRAN
Date/Publication: 2019-05-09 14:00:02 UTC

More information about BayesianFROC at CRAN
Permanent link

New package metacart with initial version 2.0-1
Package: metacart
Type: Package
Title: Meta-CART: A Flexible Approach to Identify Moderators in Meta-Analysis
Version: 2.0-1
Date: 2019-05-09
Encoding: UTF-8
Author: Xinru Li [aut, cre], Elise Dusseldorp [aut, cph], Kaihua Liu [ctb] (supported with the plot function), Juan Claramunt [ctb], Jacqueline Meulman [ctb]
Maintainer: Juan Claramunt <j.claramunt.gonzalez@fsw.leidenuniv.nl>
Description: Meta-CART integrates classification and regression trees (CART) into meta-analysis. Meta-CART is a flexible approach to identify interaction effects between moderators in meta-analysis. The method is described in Dusseldorp et al. (2014) <doi:10.1037/hea0000018> and Li et al. (2017) <doi:10.1111/bmsp.12088>.
LazyData: TRUE
License: GPL (>= 2)
Depends: R (>= 3.0.2), stats, ggplot2, gridExtra, methods, rpart
Imports: Rcpp (>= 0.12.16)
LinkingTo: Rcpp
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-05-09 08:47:17 UTC; jclaramunt
Repository: CRAN
Date/Publication: 2019-05-09 09:30:03 UTC

More information about metacart at CRAN
Permanent link

New package UCSCXenaShiny with initial version 0.1.0
Package: UCSCXenaShiny
Title: A Shiny App for UCSC Xena Database
Version: 0.1.0
Authors@R: c( person("Shixiang", "Wang", email = "w_shixiang@163.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9855-7357")), person("Yi", "Xiong", email = "neuroxiong@openbiox.com", role = c("aut"), comment = c(ORCID = "0000-0002-4370-9824")), person("Longfei", "Zhao", email = "longfei8533@126.com", role = c("aut"), comment = c(ORCID = "0000-0002-6277-0137")), person("Kai", "Gu", email = "gukai1212@163.com", role = c("aut"), comment = c(ORCID = "0000-0002-0177-0774")), person("Yin", "Li", email = "yinli18@fudan.edu.cn", role = c("aut")), person("Fei", "Zhao", email = "zhaofei415@mails.ucas.edu.cn", role = c("aut")) )
Description: Provides a web app for downloading, analyzing and visualizing datasets from UCSC Xena, which is a collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx, CCLE, and others.
URL: https://github.com/openbiox/XenaShiny
BugReports: https://github.com/openbiox/XenaShiny/issues
Depends: R (>= 3.5)
Imports: UCSCXenaTools, shiny, shinythemes, shinyjs, DT, dplyr, ggplot2, plotly, RColorBrewer, magrittr, shinyBS, utils, zip
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: covr
NeedsCompilation: no
Packaged: 2019-05-08 01:55:17 UTC; wsx
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>), Yi Xiong [aut] (<https://orcid.org/0000-0002-4370-9824>), Longfei Zhao [aut] (<https://orcid.org/0000-0002-6277-0137>), Kai Gu [aut] (<https://orcid.org/0000-0002-0177-0774>), Yin Li [aut], Fei Zhao [aut]
Maintainer: Shixiang Wang <w_shixiang@163.com>
Repository: CRAN
Date/Publication: 2019-05-09 08:30:22 UTC

More information about UCSCXenaShiny at CRAN
Permanent link

Wed, 08 May 2019

New package flan with initial version 0.7
Package: flan
Version: 0.7
Date: 2019-04-30
Type: Package
Title: FLuctuation ANalysis on Mutation Models
Authors@R: c(person("Adrien","Mazoyer", role =c("aut","cre"),email="mazoyer.adrien@courrier.uqam.ca"), person("Remy", "Drouilhet", role = "aut"), person("Stephane", "Despreaux", role = "aut"), person("Bernard", "Ycart", role = "aut"))
Author: Adrien Mazoyer [aut, cre], Remy Drouilhet [aut], Stephane Despreaux [aut], Bernard Ycart [aut]
Maintainer: Adrien Mazoyer <mazoyer.adrien@courrier.uqam.ca>
Description: Tools for fluctuations analysis of mutant cells counts.
License: GPL
URL: https://www.r-project.org, https://github.com/AdriMaz/flan
BugReports: https://github.com/AdriMaz/flan/issues
Depends: R (>= 3.0.0), lbfgsb3
Imports: Rcpp (>= 0.12.5), methods
LinkingTo: Rcpp, RcppArmadillo, RcppGSL
RcppModules: flan_module
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU GSL
Packaged: 2019-05-08 14:27:04 UTC; AdrienMazoyer
Repository: CRAN
Date/Publication: 2019-05-08 22:50:09 UTC

More information about flan at CRAN
Permanent link

New package Rpipedrive with initial version 0.1.0
Package: Rpipedrive
Type: Package
Title: 'Pipedrive API's' Functions to Improvement and Integration's Systems
Version: 0.1.0
Author: Ney Moresco
Maintainer: Ney Moresco <neymoresco@hotmail.com>
Description: R interaction with 'pipedrive.com API'. All functions were created and documented according to <https://developers.pipedrive.com/docs/api/v1/>. Created with the objective of offering integration and even the development of 'APIs'. Making possible to create workflows and easily downloading databases for analysis.
License: GPL-2
Imports: httr (>= 1.3.1), jsonlite (>= 1.5), dplyr (>= 0.7.6), utils (>= 3.0.0)
Depends: R (>= 3.0.0)
Encoding: UTF-8
LazyData: false
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-06 13:26:01 UTC; ney.moresco
Repository: CRAN
Date/Publication: 2019-05-08 11:30:18 UTC

More information about Rpipedrive at CRAN
Permanent link

New package multilevelMatching with initial version 1.0.0
Package: multilevelMatching
Type: Package
Title: Propensity Score Matching and Subclassification in Observational Studies with Multi-Level Treatments
Authors@R: c( person("Shu", "Yang", email = "shuyang@hsph.harvard.edu", role = c("aut")), person("Brian G.", "Barkley", email = "BarkleyBG@outlook.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1787-4735")) )
Date: 2019-05-06
Version: 1.0.0
Description: Implements methods to estimate causal effects from observational studies when there are 2+ distinct levels of treatment (i.e., "multilevel treatment") using matching estimators, as introduced in Yang et al. (2016) <doi:10.1111/biom.12505>. Matching on covariates, and matching or stratification on modeled propensity scores, are available. These methods require matching on only a scalar function of generalized propensity scores.
Depends: R (>= 3.1.2)
Imports: Matching (>= 4.8-3.4), MASS (>= 7.3-35), nnet (>= 7.3-8), boot (>= 1.3-13)
License: GPL-2
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat, rprojroot
RoxygenNote: 6.1.0
LazyData: TRUE
URL: https://shuyang1987.github.io/multilevelMatching/
BugReports: https://github.com/shuyang1987/multilevelMatching/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-05-06 13:12:21 UTC; tkg9iov
Author: Shu Yang [aut], Brian G. Barkley [aut, cre] (<https://orcid.org/0000-0003-1787-4735>)
Maintainer: Brian G. Barkley <BarkleyBG@outlook.com>
Repository: CRAN
Date/Publication: 2019-05-08 11:30:03 UTC

More information about multilevelMatching at CRAN
Permanent link

New package empichar with initial version 1.0.0
Package: empichar
Type: Package
Title: Evaluates the Empirical Characteristic Function for Multivariate Samples
Version: 1.0.0
Authors@R: person("Guillermo", "Basulto-Elias", email = "guillermobasulto@gmail.com", role = c("aut", "cre"))
Description: Evaluates the empirical characteristic function of univariate and multivariate samples. This package uses 'RcppArmadillo' for fast evaluation. It is also possible to export the code to be used in other packages at 'C++' level.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
Suggests: testthat (>= 2.1.0), spelling, covr
Language: en-US
NeedsCompilation: yes
Packaged: 2019-05-06 12:05:44 UTC; basulto
Author: Guillermo Basulto-Elias [aut, cre]
Maintainer: Guillermo Basulto-Elias <guillermobasulto@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-08 11:30:14 UTC

More information about empichar at CRAN
Permanent link

New package todor with initial version 0.0.5
Package: todor
Title: Find All TODO Comments and More
Version: 0.0.5
Authors@R: person("Dominik", "Krzemiński", email = "raymon92@gmail.com", role = c("aut", "cre"))
Description: This is a simple addin to 'RStudio' that finds all 'TODO', 'FIX ME', 'CHANGED' etc. comments in your project and shows them as a markers list.
Depends: R (>= 3.3)
Imports: stringr, rex, rstudioapi
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2019-05-04 10:12:15 UTC; dominik
Author: Dominik Krzemiński [aut, cre]
Maintainer: Dominik Krzemiński <raymon92@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-08 10:20:03 UTC

More information about todor at CRAN
Permanent link

New package spectralGraphTopology with initial version 0.1.0
Package: spectralGraphTopology
Title: Learning Graphs from Data via Spectral Constraints
Version: 0.1.0
Description: Block coordinate descent estimators to learn k-component, bipartite, and k-component bipartite graphs from data by imposing spectral constraints on the eigenvalues and eigenvectors of the Laplacian and adjacency matrices. Those estimators leverages spectral properties of the graphical models as a prior information, which turn out to play key roles in unsupervised machine learning tasks such as clustering and community detection. This package is based on the paper "A Unified Framework for Structured Graph Learning via Spectral Constraints" by S. Kumar et al (2019) <arXiv:1904.09792>.
Authors@R: c( person("Ze", "Vinicius", role = c("cre", "aut"), email = "jvmirca@gmail.com"), person(c("Daniel", "P."), "Palomar", role = "aut", email = "daniel.p.palomar@gmail.com") )
Maintainer: Ze Vinicius <jvmirca@gmail.com>
URL: https://github.com/dppalomar/spectralGraphTopology, https://mirca.github.io/spectralGraphTopology, https://www.danielppalomar.com
BugReports: https://github.com/dppalomar/spectralGraphTopology/issues
Depends:
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Imports: Rcpp, osqp, MASS, Matrix, progress, rlist
RoxygenNote: 6.1.1
Suggests: bookdown, knitr, prettydoc, rmarkdown, R.rsp, testthat, patrick, corrplot, igraph, kernlab, pals, clusterSim, viridis, quadprog, matrixcalc, CVXR
VignetteBuilder: bookdown, knitr, prettydoc, rmarkdown, R.rsp
NeedsCompilation: yes
Packaged: 2019-05-04 11:46:48 UTC; jvmirca
Author: Ze Vinicius [cre, aut], Daniel P. Palomar [aut]
Repository: CRAN
Date/Publication: 2019-05-08 10:30:03 UTC

More information about spectralGraphTopology at CRAN
Permanent link

New package RVenn with initial version 1.0.0
Package: RVenn
Type: Package
Title: Set Operations for Many Sets
Version: 1.0.0
Authors@R: person("Turgut Yigit", "Akyol", email = "tyakyol@gmail.com", role = c("aut", "cre"))
Maintainer: Turgut Yigit Akyol <tyakyol@gmail.com>
Description: Set operations for many sets. The base functions for set operations in R are good for only two sets. This package uses 'purrr' to find the union, intersection and difference of three or more sets. Further, based on 'ggplot2' and 'ggforce', Venn diagram can be drawn for two or three sets (Venn diagrams with four or more sets are terrible, please use 'UpSet' if you have lots of sets). Finally, enrichment test can be applied to two sets whether an overlap is statistically significant or not.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: ggforce (>= 0.2.1), ggplot2 (>= 3.0.0), magrittr (>= 1.5), purrr (>= 0.2.5), methods (>= 3.5.1), rlang (>= 0.2.2)
RoxygenNote: 6.1.1
Collate: 'Construct.R' 'Plot.R' 'SetOperations.R' 'package-RVenn.R' 'Enrichment.R'
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-05 10:30:10 UTC; tyakyol
Author: Turgut Yigit Akyol [aut, cre]
Repository: CRAN
Date/Publication: 2019-05-08 10:30:16 UTC

More information about RVenn at CRAN
Permanent link

New package pvaluefunctions with initial version 1.0.0
Package: pvaluefunctions
Type: Package
Title: Creates and Plots P-Value Functions, S-Value Functions, Confidence Distributions and Confidence Densities
Version: 1.0.0
Authors@R: person("Denis", "Infanger", email = "denis.infanger@unibas.ch", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9028-7110"))
Maintainer: Denis Infanger <denis.infanger@unibas.ch>
Description: Contains functions to compute and plot confidence distributions, confidence densities, p-value functions and s-value (surprisal) functions for several commonly used estimates. Instead of just calculating one p-value and one confidence interval, p-value functions display p-values and confidence intervals for many levels thereby allowing to gauge the compatibility of several parameter values with the data. These methods are discussed by Poole C. (1987) <doi:10.2105/AJPH.77.2.195>; Schweder T, Hjort NL. (2002) <doi:10.1111/1467-9469.00285>; Bender R, Berg G, Zeeb H. (2005) <doi:10.1002/bimj.200410104> ; Singh K, Xie M, Strawderman WE. (2007) <doi:10.1214/074921707000000102>; Rothman KJ, Greenland S, Lash TL. (2008, ISBN:9781451190052); Amrhein V, Trafimow D, Greenland S. (2019) <doi:10.1080/00031305.2018.1543137>; and Greenland S. (2019) <doi:10.1080/00031305.2018.1529625>.
Depends: R (>= 3.1.0)
Imports: ggplot2 (>= 3.1.1), scales (>= 1.0.0), zipfR (>= 0.6-10), stats
Suggests: knitr, rmarkdown, devtools
License: GPL-3
URL: https://github.com/DInfanger/pvaluefunctions
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-06 10:07:36 UTC; denis
Author: Denis Infanger [aut, cre] (<https://orcid.org/0000-0001-9028-7110>)
Repository: CRAN
Date/Publication: 2019-05-08 10:40:03 UTC

More information about pvaluefunctions at CRAN
Permanent link

New package npcure with initial version 0.1-2
Package: npcure
Version: 0.1-2
Date: 2019-05-06
Title: Nonparametric Estimation in Mixture Cure Models
Authors@R: c(person("Ignacio", "López-de-Ullibarri", role = c("aut", "cre"), email = "ignacio.lopezdeullibarri@udc.es"), person("Ana", "López-Cheda", role = "aut", email = "ana.lopez.cheda@udc.es"), person("Maria Amalia", "Jácome", role = "aut", email = "majacome@udc.es"))
Author: Ignacio López-de-Ullibarri [aut, cre], Ana López-Cheda [aut], Maria Amalia Jácome [aut]
Maintainer: Ignacio López-de-Ullibarri <ignacio.lopezdeullibarri@udc.es>
Depends: R (>= 3.5.0)
Suggests: KMsurv
Description: Performs nonparametric estimation in mixture cure models, and significance tests for the cure probability. For details, see López-Cheda et al. (2017a) <doi:10.1016/j.csda.2016.08.002> and López-Cheda et al. (2017b) <doi:10.1007/s11749-016-0515-1>.
License: GPL (>= 2)
Imports: permute, stats, utils, zoo
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2019-05-06 09:03:37 UTC; ilu
Repository: CRAN
Date/Publication: 2019-05-08 10:40:10 UTC

More information about npcure at CRAN
Permanent link

New package dragon with initial version 0.1.0
Package: dragon
Type: Package
Title: Deep Time Redox Analysis of the Geobiology Ontology Network
Version: 0.1.0
Authors@R: c( person("Stephanie J.", "Spielman", role = c("aut", "cre"), email = "spielman@rowan.edu"))
Maintainer: Stephanie J. Spielman <spielman@rowan.edu>
Description: Visualization and manipulation of the mineral-chemistry network across deep time on earth.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/spielmanlab/dragon
BugReports: https://github.com/spielmanlab/dragon/issues
Repository: CRAN
NeedsCompilation: no
RoxygenNote: 6.1.1
Imports: tidyverse, shiny, shinythemes, shinyWidgets, colourpicker, colorspace, RColorBrewer, DT, visNetwork, igraph, magrittr
Suggests: knitr, testthat (>= 2.1.0)
VignetteBuilder: knitr
Packaged: 2019-05-05 16:11:47 UTC; spielman
Author: Stephanie J. Spielman [aut, cre]
Date/Publication: 2019-05-08 10:30:10 UTC

More information about dragon at CRAN
Permanent link

New package onlineVAR with initial version 0.1-1
Package: onlineVAR
Title: Online Fitting of Time-Adaptive Lasso Vector Auto Regression
Version: 0.1-1
Date: 2019-05-05
Authors@R: c(person(given = "Jakob", family = "Messner", role = c("aut", "cre"), email = "jakob.messner@posteo.net"))
Depends: R (>= 2.10.0)
Imports: parallel, lattice
Suggests:
Description: Functions for recursive online fitting of time-adaptive lasso vector auto regression. A recursive coordinate descent algorithm is used to estimate sparse vector auto regressive models and exponential forgetting is applied to allow model changes. Details can be found in Jakob W. Messner and Pierre Pinson (2018). "Online adaptive LASSO estimation in Vector Auto Regressive models for wind power forecasting in high dimension". International Journal of Forecasting, in press. <doi:10.1016/j.ijforecast.2018.02.001>.
License: GPL-2 | GPL-3
NeedsCompilation: yes
Packaged: 2019-05-05 14:57:25 UTC; jakob
Author: Jakob Messner [aut, cre]
Maintainer: Jakob Messner <jakob.messner@posteo.net>
Repository: CRAN
Date/Publication: 2019-05-08 07:50:03 UTC

More information about onlineVAR at CRAN
Permanent link

New package msgl with initial version 2.3.9
Package: msgl
Type: Package
Title: Multinomial Sparse Group Lasso
Version: 2.3.9
Date: 2019-05-07
Authors@R: c( person("Martin", "Vincent", role = "aut"), person("Niels", "Richard Hansen", email = "niels.r.hansen@math.ku.dk", role = c("ctb", "cre")) )
Description: Multinomial logistic regression with sparse group lasso penalty. Simultaneous feature selection and parameter estimation for classification. Suitable for high dimensional multiclass classification with many classes. The algorithm computes the sparse group lasso penalized maximum likelihood estimate. Use of parallel computing for cross validation and subsampling is supported through the 'foreach' and 'doParallel' packages. Development version is on GitHub, please report package issues on GitHub.
URL: http://www.sciencedirect.com/science/article/pii/S0167947313002168, https://github.com/nielsrhansen/msgl
BugReports: https://github.com/nielsrhansen/msgl/issues
License: GPL (>= 2)
LazyLoad: yes
Imports: methods, tools, utils, stats
Depends: R (>= 3.2.4), Matrix, sglOptim (>= 1.3.7)
LinkingTo: Rcpp, RcppProgress, RcppArmadillo, BH, sglOptim
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-05-07 20:02:30 UTC; xqz683
Author: Martin Vincent [aut], Niels Richard Hansen [ctb, cre]
Maintainer: Niels Richard Hansen <niels.r.hansen@math.ku.dk>
Repository: CRAN
Date/Publication: 2019-05-08 08:00:10 UTC

More information about msgl at CRAN
Permanent link

New package ensemblepp with initial version 1.0-0
Package: ensemblepp
Title: Ensemble Postprocessing Data Sets
Version: 1.0-0
Date: 2019-05-03
Authors@R: c(person(given = "Jakob", family = "Messner", role = c("aut", "cre"), email = "jakob.messner@posteo.net"))
Author: Jakob Messner [aut, cre]
Maintainer: Jakob Messner <jakob.messner@posteo.net>
Depends: R (>= 2.10.0)
Suggests: ensembleBMA, crch, gamlss, ensembleMOS, SpecsVerification, scoringRules, glmx, ordinal, pROC, mvtnorm
Description: Data sets for the chapter "Ensemble Postprocessing with R" of the book Stephane Vannitsem, Daniel S. Wilks, and Jakob W. Messner (2018) "Statistical Postprocessing of Ensemble Forecasts", Elsevier, 362pp. These data sets contain temperature and precipitation ensemble weather forecasts and corresponding observations at Innsbruck/Austria. Additionally, a demo with the full code of the book chapter is provided.
License: GPL-2 | GPL-3
NeedsCompilation: no
Packaged: 2019-05-03 11:00:30 UTC; jakob
Repository: CRAN
Date/Publication: 2019-05-08 07:50:10 UTC

More information about ensemblepp at CRAN
Permanent link

Tue, 07 May 2019

New package sglOptim with initial version 1.3.8
Package: sglOptim
Type: Package
Title: Generic Sparse Group Lasso Solver
Version: 1.3.8
Date: 2019-05-07
Authors@R: c( person("Martin", "Vincent", role = "aut"), person("Niels", "Richard Hansen", email = "niels.r.hansen@math.ku.dk", role = c("ctb", "cre")) )
Description: Fast generic solver for sparse group lasso optimization problems. The loss (objective) function must be defined in a C++ module. The optimization problem is solved using a coordinate gradient descent algorithm. Convergence of the algorithm is established (see reference) and the algorithm is applicable to a broad class of loss functions. Use of parallel computing for cross validation and subsampling is supported through the 'foreach' and 'doParallel' packages. Development version is on GitHub, please report package issues on GitHub.
URL: https://dx.doi.org/10.1016/j.csda.2013.06.004, https://github.com/nielsrhansen/sglOptim
BugReports: https://github.com/nielsrhansen/sglOptim/issues
License: GPL (>= 2)
LazyLoad: yes
Imports: methods, stats, tools, utils
Depends: R (>= 3.2.4), Matrix, foreach, doParallel
LinkingTo: Rcpp, RcppProgress, RcppArmadillo, BH
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-05-07 19:21:09 UTC; xqz683
Author: Martin Vincent [aut], Niels Richard Hansen [ctb, cre]
Maintainer: Niels Richard Hansen <niels.r.hansen@math.ku.dk>
Repository: CRAN
Date/Publication: 2019-05-07 22:10:03 UTC

More information about sglOptim at CRAN
Permanent link

New package survsup with initial version 0.0.2
Package: survsup
Title: Plotting Survival Curves with Numbers at Risk Table
Version: 0.0.2
Author: Daniel Lindholm <daniel.lindholm@me.com>
Maintainer: Daniel Lindholm <daniel.lindholm@me.com>
Description: Implements functions to plot survival curves. Provides the capability to add numbers at risk tables, and allows for using the pipe operator to create more complex plots.
Depends: R (>= 3.3.0)
License: GPL-2
Encoding: UTF-8
URL: http://github.com/dlindholm/survsup
BugReports: http://github.com/dlindholm/survsup/issues
LazyData: true
Imports: stats, utils, survival, dplyr, ggplot2, broom, colorspace, gridExtra
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-06 18:18:30 UTC; daniel
Repository: CRAN
Date/Publication: 2019-05-07 07:40:03 UTC

More information about survsup at CRAN
Permanent link

Mon, 06 May 2019

New package clhs with initial version 0.7-2
Package: clhs
Type: Package
Title: Conditioned Latin Hypercube Sampling
Version: 0.7-2
Date: 2019-05-06
Authors@R: c( person("Pierre", "Roudier", email = "roudierp@landcareresearch.co.nz", role = c("aut", "cre")), person("Colby", "Brugnard", email = "cbrung@ad.nmsu.edu", role = "ctb"), person("Dylan", "Beaudette", email = "dylan.beaudette@ca.usda.gov", role = "ctb"), person("Benjamin", "Louis", email = "contact@benjaminlouis-stat.fr", role = "ctb"))
Maintainer: Pierre Roudier <roudierp@landcareresearch.co.nz>
Description: Conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006) <DOI:10.1016/j.cageo.2005.12.009>. This method proposes to stratify sampling in presence of ancillary data. An extension of this method, which propose to associate a cost to each individual and take it into account during the optimisation process, is also proposed (Roudier et al., 2012, <DOI:10.1201/b12728>).
Depends: R (>= 2.14.0)
Imports: utils, methods, grid, ggplot2, sp, raster, reshape2, plyr, scales, cluster
License: GPL (>= 2)
LazyLoad: yes
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
RoxygenNote: 6.0.1
Collate: 'clhs-internal.R' 'clhs-data.frame.R' 'clhs-package.R' 'clhs-raster.R' 'utils.R' 'clhs.R' 'clhs-sp.R' 'plot.R' 'similarity.R'
NeedsCompilation: no
Packaged: 2019-05-06 21:59:35 UTC; pierre
Author: Pierre Roudier [aut, cre], Colby Brugnard [ctb], Dylan Beaudette [ctb], Benjamin Louis [ctb]
Repository: CRAN
Date/Publication: 2019-05-06 22:30:08 UTC

More information about clhs at CRAN
Permanent link

New package loose.rock with initial version 1.0.11
Package: loose.rock
Title: Set of Functions to Use in Survival Analysis and in Data Science
Version: 1.0.11
Authors@R: c(person("André", "Veríssimo", email = "andre.verissimo@tecnico.ulisboa.pt", role = c("aut", "cre")), person("Susana", "Vinga", email = "susanavinga@tecnico.ulisboa.pt", role = "aut"))
Description: Collection of functions to improve work-flow in survival analysis and data science. The package features include: the generation of balanced datasets, live retrieval of protein coding genes from two public databases, generation of random matrix based on covariance matrix, cache function to store function results. This work was supported by two grants from the Portuguese Foundation for Science and technology, and the EU Commission under SOUND project.
Depends: R (>= 3.4)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
RoxygenNote: 6.1.1
Imports: biomaRt, digest, futile.options, ggfortify, ggplot2, graphics, grDevices, MASS, methods, dplyr, reshape2, rlang, stats
Suggests: knitr, rmarkdown, devtools, roxygen2, testthat, survival
VignetteBuilder: knitr
BugReports: https://www.github.com/averissimo/loose.rock/issues
URL: https://www.github.com/averissimo/loose.rock
Packaged: 2019-05-06 17:24:25 UTC; rstudio
Author: André Veríssimo [aut, cre], Susana Vinga [aut]
Maintainer: André Veríssimo <andre.verissimo@tecnico.ulisboa.pt>
Repository: CRAN
Date/Publication: 2019-05-06 18:30:03 UTC

More information about loose.rock at CRAN
Permanent link

New package traitdataform with initial version 0.5.4
Package: traitdataform
Type: Package
Title: Formatting and Harmonizing Ecological Trait-Data
Version: 0.5.4
Date: 2019-05-06
Authors@R: c(person("Florian D.", "Schneider",, "florian.dirk.schneider@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1494-5684")), person("Caterina", "Penone", role = c("ctb"), comment = c(ORCID = "0000-0002-8170-6659")), person("Andreas", "Ostrowski", role = c("ctb"), comment = c(ORCID = "0000-0002-2033-779X")), person("Dennis", "Heimann", role = c("ctb")), person("Felix","Neff", role = c("ctb")), person("Markus J.", "Ankenbrand", role = c("ctb")))
Description: Assistance for handling ecological trait data and applying the Ecological Trait-Data Standard terminology (Schneider et al. 2018 <doi:10.1101/328302>). There are two major use cases: (1) preparation of own trait datasets for upload into public data bases, and (2) harmonizing trait datasets from different sources by re-formatting them into a unified format. See 'traitdataform' website for full documentation.
License: MIT + file LICENSE
LazyData: TRUE
Depends: R (>= 2.10)
Imports: data.table, reshape2, taxize, getPass, units, XML, RCurl, plyr
URL: https://EcologicalTraitData.github.io/traitdataform, https://github.com/EcologicalTraitData/traitdataform
BugReports: https://github.com/EcologicalTraitData/traitdataform/issues
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat
NeedsCompilation: no
Packaged: 2019-05-06 11:25:57 UTC; Flo
Author: Florian D. Schneider [aut, cre] (<https://orcid.org/0000-0002-1494-5684>), Caterina Penone [ctb] (<https://orcid.org/0000-0002-8170-6659>), Andreas Ostrowski [ctb] (<https://orcid.org/0000-0002-2033-779X>), Dennis Heimann [ctb], Felix Neff [ctb], Markus J. Ankenbrand [ctb]
Maintainer: Florian D. Schneider <florian.dirk.schneider@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-06 12:00:03 UTC

More information about traitdataform at CRAN
Permanent link

New package SSOSVM with initial version 0.2.1
Package: SSOSVM
Type: Package
Title: Stream Suitable Online Support Vector Machines
Version: 0.2.1
Date: 2019-05-06
Author: Andrew Thomas Jones, Hien Duy Nguyen, Geoffrey J. McLachlan
Maintainer: Andrew Thomas Jones <andrewthomasjones@gmail.com>
Description: Soft-margin support vector machines (SVMs) are a common class of classification models. The training of SVMs usually requires that the data be available all at once in a single batch, however the Stochastic majorization-minimization (SMM) algorithm framework allows for the training of SVMs on streamed data instead Nguyen, Jones & McLachlan(2018)<doi:10.1007/s42081-018-0001-y>. This package utilizes the SMM framework to provide functions for training SVMs with hinge loss, squared-hinge loss, and logistic loss.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 0.12.13), mvtnorm, MASS
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.1.1
Suggests: testthat, knitr, rmarkdown, ggplot2, gganimate, gifski
NeedsCompilation: yes
Packaged: 2019-05-06 08:56:26 UTC; andrewjones
Repository: CRAN
Date/Publication: 2019-05-06 09:10:03 UTC

More information about SSOSVM at CRAN
Permanent link

New package tabplot with initial version 1.3-2
Package: tabplot
Maintainer: Martijn Tennekes <mtennekes@gmail.com>
License: GPL-3
Title: Tableplot, a Visualization of Large Datasets
Type: Package
LazyLoad: yes
Author: Martijn Tennekes and Edwin de Jonge
Description: A tableplot is a visualisation of a (large) dataset with a dozen of variables, both numeric and categorical. Each column represents a variable and each row bin is an aggregate of a certain number of records. Numeric variables are visualized as bar charts, and categorical variables as stacked bar charts. Missing values are taken into account. Also supports large 'ffdf' datasets from the 'ff' package.
Version: 1.3-2
URL: https://github.com/mtennekes/tabplot
Date: 2019-05-06
Depends: bit, ff, ffbase (>= 0.12.3)
Imports: grid
VignetteBuilder: knitr
Suggests: shiny (>= 1.0.0), knitr, classInt, ggplot2
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-06 07:31:46 UTC; mtes
Repository: CRAN
Date/Publication: 2019-05-06 08:10:03 UTC

More information about tabplot at CRAN
Permanent link

New package Sojourn with initial version 0.1.0
Package: Sojourn
Type: Package
Title: Apply Sojourn Methods for Processing ActiGraph Accelerometer Data
Version: 0.1.0
Authors@R: c( person(c("Paul", "R."), "Hibbing", email = "paulhibbing@gmail.com", role = c("aut","cre")), person(c("Kate"), "Lyden", email = "katelyden6@gmail.com", role = c("aut")), person(c("Isaac", "J."), "Schwabacher", role = c("aut")) )
Depends: R (>= 3.1.0)
Description: Provides a simple way for utilizing Sojourn methods for accelerometer processing, as detailed in Lyden K, Keadle S, Staudenmayer J, & Freedson P (2014) <doi:10.1249/MSS.0b013e3182a42a2d>, Ellingson LD, Schwabacher IJ, Kim Y, Welk GJ, & Cook DB (2016) <doi:10.1249/MSS.0000000000000915>, and Hibbing PR, Ellingson LD, Dixon PM, & Welk GJ (2018) <doi:10.1249/MSS.0000000000001486>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: AGread, caret, dplyr (>= 0.7), magrittr (>= 1.5), lubridate (>= 1.7.4), nnet (>= 7.3), rlang (>= 0.2), stats, svDialogs (>= 1.0), utils, zoo (>= 1.8)
RoxygenNote: 6.1.1
URL: http://github.com/paulhibbing/Sojourn
BugReports: http://github.com/paulhibbing/Sojourn/issues
Suggests: data.table, Sojourn.Data, testthat
NeedsCompilation: no
Packaged: 2019-05-06 04:56:26 UTC; Paul
Author: Paul R. Hibbing [aut, cre], Kate Lyden [aut], Isaac J. Schwabacher [aut]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-06 09:00:06 UTC

More information about Sojourn at CRAN
Permanent link

New package NBShiny with initial version 0.1.0
Package: NBShiny
Type: Package
Title: Interactive Document for Working with Naive Bayes Classification
Version: 0.1.0
Author: Kartikeya Bolar
Maintainer: Kartikeya Bolar <kartikeya.bolar@tapmi.edu.in>
Description: An interactive document on the topic of naive Bayes classification analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://kartikeyab.shinyapps.io/NBShiny/>.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.0.3)
Imports: shiny,rmarkdown,dplyr,datasets,caret,e1071,rhandsontable
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-05-05 23:39:54 UTC; KARTIKEYA
Repository: CRAN
Date/Publication: 2019-05-06 08:30:03 UTC

More information about NBShiny at CRAN
Permanent link

New package kcpRS with initial version 1.0.0
Package: kcpRS
Type: Package
Title: Kernel Change Point Detection on the Running Statistics
Version: 1.0.0
Authors@R: c(person("Jedelyn","Cabrieto",role=c("aut","cre"),email="jed.cabrieto@kuleuven.be"),person("Kristof","Meers",role="aut"),person("Janne","Adolf",role="ctb"),person("Peter","Kuppens",role="ctb"), person("Francis","Tuerlinckx",role="ctb"),person("Eva","Ceulemans",role="ctb"))
Description: The running statistics of interest is first extracted using a time window which is slid across the time series, and in each window, the running statistics value is computed. KCP (Kernel Change Point) detection proposed by Arlot et al. (2012) <arXiv:1202.3878> is then implemented to flag the change points on the running statistics (Cabrieto et al., 2018, <doi:10.1016/j.ins.2018.03.010>). Change points are located by minimizing a variance criterion based on the pairwise similarities between running statistics which are computed via the Gaussian kernel. KCP can locate change points for a given k number of change points. To determine the optimal k, the KCP permutation test is first carried out by comparing the variance of the running statistics extracted from the original data to that of permuted data. If this test is significant, then there is sufficient evidence for at least one change point in the data. Model selection is then used to determine the optimal k>0.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 1.0.0)
Depends: RColorBrewer, stats, utils, graphics, roll, foreach, doParallel
LinkingTo: Rcpp
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-05-06 04:10:24 UTC; ue713261
Author: Jedelyn Cabrieto [aut, cre], Kristof Meers [aut], Janne Adolf [ctb], Peter Kuppens [ctb], Francis Tuerlinckx [ctb], Eva Ceulemans [ctb]
Maintainer: Jedelyn Cabrieto <jed.cabrieto@kuleuven.be>
Repository: CRAN
Date/Publication: 2019-05-06 09:00:03 UTC

More information about kcpRS at CRAN
Permanent link

New package batchscr with initial version 0.1.0
Package: batchscr
Type: Package
Title: Batch Script Helpers
Version: 0.1.0
Author: Sherry Zhao
Maintainer: Sherry Zhao<sxzhao@gwu.edu>
BugReports: https://github.com/sherrisherry/batchscr/issues
Description: Handy frameworks, such as error handling and log generation, for batch scripts. Use case: in scripts running in remote servers, set error handling mechanism for downloading and uploading and record operation log.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2019-05-05 21:54:38 UTC; Admin
Repository: CRAN
Date/Publication: 2019-05-06 08:40:03 UTC

More information about batchscr at CRAN
Permanent link

New package OTclust with initial version 1.0.2
Package: OTclust
Title: Mean Partition, Uncertainty Assessment, Cluster Validation and Visualization Selection for Cluster Analysis
Version: 1.0.2
Authors@R: c(person("Lixiang", "Zhang", email = "lzz46@psu.edu", role = c("aut", "cre")),person("Beomseok", "Seo", email = "bzs32@psu.edu", role = "aut"),person("Lin", "Lin", email = "llin@psu.edu", role = "aut"),person("Jia", "Li", email = "jiali@psu.edu", role = "aut"))
Author: Lixiang Zhang [aut, cre], Beomseok Seo [aut], Lin Lin [aut], Jia Li [aut]
Maintainer: Lixiang Zhang <lzz46@psu.edu>
Description: Providing mean partition for ensemble clustering by optimal transport alignment(OTA), uncertainty measures for both partition-wise and cluster-wise assessment and multiple visualization functions to show uncertainty, for instance, membership heat map and plot of covering point set. A partition refers to an overall clustering result.
Depends: R (>= 3.1.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, tsne, umap, HDclust, dbscan, flexclust, mclust
VignetteBuilder: knitr
LinkingTo: Rcpp
Imports: Rcpp, ggplot2, RColorBrewer, magrittr, class
NeedsCompilation: yes
Packaged: 2019-05-05 15:06:35 UTC; zhanglixiang
Repository: CRAN
Date/Publication: 2019-05-06 07:40:02 UTC

More information about OTclust at CRAN
Permanent link

Sun, 05 May 2019

New package stUPscales with initial version 1.0.3.4
Package: stUPscales
Type: Package
Title: Spatio-Temporal Uncertainty Propagation Across Multiple Scales
Version: 1.0.3.4
Date: 2019-05-04
Author: J.A. Torres-Matallana [aut, cre] U. Leopold [ctb] G.B.M. Heuvelink [ctb]
Maintainer: J.A. Torres-Matallana <arturo.torres@list.lu>
Description: Integrated environmental modelling requires coupling sub-models at different spatial and temporal scales, thus accounting for change of support procedures (aggregation and disaggregation). We contribute to state-of-the-art open source tools that support uncertainty propagation analysis in temporal and spatio-temporal domains. We implement the tool for uncertainty propagation in environmental modelling, with examples in the urban water domain. The functionalities of the class setup and the methods and functions MC.setup, MC.sim, MC.analysis, MC.analysis_generic and Agg.t are contained, which are used for setting up, running and analysing Monte Carlo uncertainty propagation simulations, and for spatio-temporal aggregation. We also implement functionalities to model and predict variables that vary in space and time. stUPscales takes uncertainty characterisation and propagation a step further by including temporal and spatio-temporal auto- and cross-correlation, resulting in more realistic (spatio-)temporal series of environmental variables. Due to its modularity, the package allows the implementation of additional methods and functions for spatio-temporal disaggregation of model inputs and outputs, when linking models across multiple space-time scales.
License: GPL (>= 3)
Depends: R (>= 2.10), methods, stats, graphics, grDevices, utils, mAr, lmom,
Imports: parallel, doParallel, foreach, lattice, msm, ggplot2, moments, hydroGOF, zoo, data.table, xts, EmiStatR
Suggests: sp, spacetime
NeedsCompilation: no
Packaged: 2019-05-04 17:55:56 UTC; atorres
Repository: CRAN
Date/Publication: 2019-05-05 22:50:04 UTC

More information about stUPscales at CRAN
Permanent link

New package rmdfiltr with initial version 0.1.0
Package: rmdfiltr
Type: Package
Title: 'Lua' filters for R Markdown
Version: 0.1.0
Authors@R: c( person("Frederik", "Aust", email = "frederik.aust@uni-koeln.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4900-788X")) )
URL: https://github.com/crsh/rmdfiltr
BugReports: https://github.com/crsh/rmdfiltr/issues
Description: A collection of 'Lua' filters that extend the functionality of R Markdown templates (e.g., count words or post-process 'pandoc-citeproc'- citations).
Imports: assertthat (>= 0.2.1), utils, rmarkdown (>= 1.12)
SystemRequirements: pandoc (>= 2.0; https://pandoc.org)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Suggests: dplyr (>= 0.8.0.1), ggplot2 (>= 3.0.0), knitr (>= 1.22), spelling (>= 2.1), testthat (>= 2.0.0), tibble (>= 2.1.1)
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-03 19:22:17 UTC; frederikaust
Author: Frederik Aust [aut, cre] (<https://orcid.org/0000-0003-4900-788X>)
Maintainer: Frederik Aust <frederik.aust@uni-koeln.de>
Repository: CRAN
Date/Publication: 2019-05-05 08:10:02 UTC

More information about rmdfiltr at CRAN
Permanent link

New package attachment with initial version 0.0.9
Package: attachment
Title: Deal with Dependencies
Version: 0.0.9
Authors@R: c(person(given = "Vincent", family = "Guyader", role = c("cre", "aut"), email = "vincent@thinkr.fr", comment = c(ORCID = "0000-0003-0671-9270")), person(given = "Sébastien", family = "Rochette", role = "aut", email = "sebastien@thinkr.fr", comment = c(ORCID = "0000-0002-1565-9313")), person(given = "ThinkR", role = c("cph", "fnd")))
Description: Tools to help manage dependencies during package development. This can retrieve all dependencies that are used in R files in the "R" directory, in Rmd files in "vignettes" directory and in 'roxygen2' documentation of functions. There is a function to update the Description file of your package and a function to create a file with the R commands to install all dependencies of your package. All functions to retrieve dependencies of R scripts and Rmd files can be used independently of a package development.
License: GPL-3
URL: https://github.com/Thinkr-open/attachment
BugReports: https://github.com/Thinkr-open/attachment/issues
Depends: R (>= 3.3)
Imports: desc (>= 1.2.0), devtools (>= 1.13.6), glue (>= 1.3.0), knitr (>= 1.20), magrittr (>= 1.5), rmarkdown (>= 1.10), stats, stringr (>= 1.3.1), utils
Suggests: covr, pkgdown (>= 1.3.0), testthat (>= 2.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-04 10:25:45 UTC; Vincent
Author: Vincent Guyader [cre, aut] (<https://orcid.org/0000-0003-0671-9270>), Sébastien Rochette [aut] (<https://orcid.org/0000-0002-1565-9313>), ThinkR [cph, fnd]
Maintainer: Vincent Guyader <vincent@thinkr.fr>
Repository: CRAN
Date/Publication: 2019-05-05 08:20:03 UTC

More information about attachment at CRAN
Permanent link

Sat, 04 May 2019

New package vroom with initial version 1.0.0
Package: vroom
Title: Read and Write Rectangular Text Data Quickly
Version: 1.0.0
Authors@R: c(person(given = "Jim", family = "Hester", role = c("aut", "cre"), email = "james.f.hester@gmail.com", comment = c(ORCID = "0000-0002-2739-7082")), person(given = "Hadley", family = "Wickham", role = "aut", email = "hadley@rstudio.com", comment = c(ORCID = "0000-0003-4757-117X")), person(given = "https://github.com/mandreyel/", role = "cph", comment = "mio library"), person(given = "R Core Team", role = "ctb", comment = "localtime.c code adapted from R"), person(given = "Jukka", family = "Jylänki", role = "cph", comment = "grisu3 implementation"), person(given = "Mikkel", family = "Jørgensen", role = "cph", comment = "grisu3 implementation"), person(given = "RStudio", role = c("cph", "fnd")))
Description: The goal of 'vroom' is to read and write data (like 'csv', 'tsv' and 'fwf') quickly. When reading it uses a quick initial indexing step, then reads the values lazily , so only the data you actually use needs to be read. The writer formats the data in parallel and writes to disk asynchronously from formatting.
License: GPL-3
URL: https://github.com/r-lib/vroom
BugReports: https://github.com/r-lib/vroom/issues
Depends: R (>= 3.1)
Imports: crayon, glue, hms, Rcpp (>= 0.12.18.3), rlang, tibble (>= 2.0.0), tidyselect, withr
Suggests: bench (>= 1.0.2), covr, curl, dplyr, forcats, fs, ggplot2, knitr, prettyunits, purrr, readr (>= 1.3.1), rmarkdown, scales, spelling, testthat, tidyr
LinkingTo: progress, Rcpp
VignetteBuilder: knitr
Copyright: file COPYRIGHTS
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2019-05-03 15:32:39 UTC; jhester
Author: Jim Hester [aut, cre] (<https://orcid.org/0000-0002-2739-7082>), Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), https://github.com/mandreyel/ [cph] (mio library), R Core Team [ctb] (localtime.c code adapted from R), Jukka Jylänki [cph] (grisu3 implementation), Mikkel Jørgensen [cph] (grisu3 implementation), RStudio [cph, fnd]
Maintainer: Jim Hester <james.f.hester@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-04 17:10:03 UTC

More information about vroom at CRAN
Permanent link

New package tealeaves with initial version 1.0.0
Package: tealeaves
Version: 1.0.0
Date: 2019-05-03
Title: Solve for Leaf Temperature Using Energy Balance
Authors@R: person("Chris", "Muir", role = c("aut", "cre"), email = "cdmuir@hawaii.edu", comment = c(ORCID = "0000-0003-2555-3878"))
Depends: R (>= 3.5.0), units (>= 0.6.0)
Imports: crayon (>= 1.3.0), dplyr (>= 0.8.0), furrr (>= 0.1.0), future (>= 1.10.0), glue (>= 1.3.0), ggplot2 (>= 3.1.0), magrittr (>= 1.5.0), methods (>= 3.5.0), purrr (>= 0.3.0), rlang (>= 0.3.0), stringr (>= 1.3.0), tidyr (>= 0.8.2)
Suggests: testthat, knitr, rmarkdown
Description: Implements models of leaf temperature using energy balance. It uses units to ensure that parameters are properly specified and transformed before calculations. It allows separate lower and upper surface conductances to heat and water vapour, so sensible and latent heat loss are calculated for each surface separately as in Foster and Smith (1986) <doi:10.1111/j.1365-3040.1986.tb02108.x>. It's straightforward to model leaf temperature over environmental gradients such as light, air temperature, humidity, and wind. It can also model leaf temperature over trait gradients such as leaf size or stomatal conductance. Other references are Monteith and Unsworth (2013, ISBN:9780123869104), Nobel (2009, ISBN:9780123741431), and Okajima et al. (2012) <doi:10.1007/s11284-011-0905-5>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-03 21:56:17 UTC; cdmuir
Author: Chris Muir [aut, cre] (<https://orcid.org/0000-0003-2555-3878>)
Maintainer: Chris Muir <cdmuir@hawaii.edu>
Repository: CRAN
Date/Publication: 2019-05-04 16:40:03 UTC

More information about tealeaves at CRAN
Permanent link

New package SmartEDA with initial version 0.3.1
Package: SmartEDA
Type: Package
Title: Summarize and Explore the Data
Version: 0.3.1
Author: Dayanand Ubrangala; Kiran R; Ravi Prasad Kondapalli
Maintainer: Dayanand Ubrangala<daya6489@gmail.com>
Depends: R (>= 3.3.0)
Imports: ggplot2(>= 2.2.1),sampling(>= 2.8),scales(>= 0.5.0),rmarkdown(>= 1.9),ISLR(>= 1.2),data.table(>= 1.10.4-3),gridExtra(>= 2.3),GGally(>= 1.4.0)
Description: Exploratory analysis on any input data describing the structure and the relationships present in the data. The package automatically select the variable and does related descriptive statistics. Analyzing information value, weight of evidence, custom tables, summary statistics, graphical techniques will be performed for both numeric and categorical predictors.
License: MIT + file LICENSE
Suggests: psych, Hmisc, smbinning,testthat,knitr,covr
Encoding: UTF-8
LazyData: true
Repository: CRAN
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-04 12:10:55 UTC; dubrangala
Date/Publication: 2019-05-04 16:30:02 UTC

More information about SmartEDA at CRAN
Permanent link

New package LOGAN with initial version 1.0.0
Package: LOGAN
Title: Log File Analysis in International Large-Scale Assessments
Version: 1.0.0
Date: 2019-05-02
Description: Enables users to handle the dataset cleaning for conducting specific analyses with the log files from two international educational assessments: the Programme for International Student Assessment (PISA, <http://www.oecd.org/pisa/>) and the Programme for the International Assessment of Adult Competencies (PIAAC, <http://www.oecd.org/skills/piaac/>). An illustration of the analyses can be found on the LOGAN Shiny app (<https://loganpackage.shinyapps.io/shiny/>) on your browser.
Authors@R: c( person("Denise", "Reis Costa", email = "d.r.costa@cemo.uio.no", role = c("aut", "cre")), person("Waldir", "Leoncio", email = "waldir.leoncio@gmail.com", role = c("aut")) )
BugReports: https://github.com/derecost/LOGAN/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: pander (>= 0.6.1), psych (>= 1.7.8), foreign (>= 0.8-69), dplyr, ggplot2, rlang, stringr, magrittr, modules
Suggests: knitr, rmarkdown
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-04 07:52:18 UTC; waldir
Author: Denise Reis Costa [aut, cre], Waldir Leoncio [aut]
Maintainer: Denise Reis Costa <d.r.costa@cemo.uio.no>
Repository: CRAN
Date/Publication: 2019-05-04 10:30:03 UTC

More information about LOGAN at CRAN
Permanent link

New package ActivePathways with initial version 1.0.1
Package: ActivePathways
Title: Multivariate Pathway Enrichment Analysis
Version: 1.0.1
Authors@R: c(person("Helen", "Zhu", email = "helen.zhu@oicr.on.ca", role = c("aut", "cre")), person("Juri", "Reimand", email = "juri.reimand@utoronto.ca", role = "aut"), person("Jonathan", "Barenboim", email = "jon.barenboim@gmail.com", role = "aut"))
Description: An integrative method of analyzing multi omics data that conducts enrichment analysis of annotated gene sets. 'ActivePathways' uses a statistical data fusion approach, rationalizes contributing evidence and highlights associated genes, improving systems-level understanding of cellular organization in health and disease.
Depends: R (>= 3.2.3)
Imports: metap, data.table, ggplot2
License: GPL-3
BugReports: https://github.com/reimandlab/ActivePathways/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-03 15:59:15 UTC; hzhu
Author: Helen Zhu [aut, cre], Juri Reimand [aut], Jonathan Barenboim [aut]
Maintainer: Helen Zhu <helen.zhu@oicr.on.ca>
Repository: CRAN
Date/Publication: 2019-05-04 10:10:02 UTC

More information about ActivePathways at CRAN
Permanent link

New package collidr with initial version 0.1.0
Package: collidr
Type: Package
Title: Check for Namespace Collisions with Other Packages and Functions on CRAN
Version: 0.1.0
Imports: dplyr, stringr, utils
Author: Steve Condylios [aut, cre] (<https://orcid.org/0000-0003-0599-844X>)
Maintainer: Steve Condylios <steve.condylios@gmail.com>
BugReports: https://github.com/collidrpackage/collidr/issues
License: MIT + file LICENSE
URL: https://github.com/collidrpackage/collidr
Description: Check for namespace collisions between a string input (your function or package name) and a quarter of a million packages and functions on CRAN.
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-02 17:23:38 UTC; st
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2019-05-04 09:10:03 UTC

More information about collidr at CRAN
Permanent link

New package jointMeanCov with initial version 0.1.0
Package: jointMeanCov
Type: Package
Title: Joint Mean and Covariance Estimation for Matrix-Variate Data
Version: 0.1.0
Authors@R: c(person("Michael", "Hornstein", email = "mdhornstein@gmail.com", role = c("aut", "cre")), person("Roger", "Fan", email = "rogerfan@umich.edu", role = "aut"), person("Kerby", "Shedden", email="kshedden@umich.edu", role="aut"), person("Shuheng", "Zhou", email="simone.zhou@ucr.edu", role="aut"))
Maintainer: Michael Hornstein <mdhornstein@gmail.com>
Description: Jointly estimates two-group means and covariances for matrix-variate data and calculates test statistics. This package implements the algorithms defined in Hornstein, Fan, Shedden, and Zhou (2018) <doi:10.1080/01621459.2018.1429275>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: glasso, graphics, stats
Suggests: knitr, rmarkdown, testthat
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-03 21:33:25 UTC; michaelhornstein
Author: Michael Hornstein [aut, cre], Roger Fan [aut], Kerby Shedden [aut], Shuheng Zhou [aut]
Repository: CRAN
Date/Publication: 2019-05-04 07:40:02 UTC

More information about jointMeanCov at CRAN
Permanent link

New package ivx with initial version 1.0.0
Type: Package
Package: ivx
Title: Robust Econometric Inference
Version: 1.0.0
Authors@R: c(person(given = "Kostas", family = "Vasilopoulos", role = c("cre", "aut"), email = "k.vasilopoulo@gmail.com"), person(given = "Efthymios", family = "Pavlidis", role = "aut", email = "e.pavlidis@lancaster.ac.uk"))
Description: Drawing statistical inference on the coefficients of a short- or long-horizon predictive regression with persistent regressors by using the IVX method of Magdalinos and Phillips (2009) and <doi:10.1017/S0266466608090154> Kostakis, Magdalinos and Stamatogiannis (2015) <doi:10.1093/rfs/hhu139>.
License: GPL-3
URL: https://github.com/kvasilopoulos/ivx
BugReports: https://github.com/kvasilopoulos/ivx/issues
Depends: R (>= 3.1)
Imports: magrittr (>= 1.5), Rcpp (>= 0.12.18), tibble (>= 2.1.1)
Suggests: covr (>= 3.2.1), spelling (>= 2.1), testthat (>= 2.1.1)
LinkingTo: Rcpp (>= 1.0.1), RcppArmadillo (>= 0.9.300.2.0)
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-05-03 19:18:59 UTC; T460p
Author: Kostas Vasilopoulos [cre, aut], Efthymios Pavlidis [aut]
Maintainer: Kostas Vasilopoulos <k.vasilopoulo@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-04 07:20:03 UTC

More information about ivx at CRAN
Permanent link

Fri, 03 May 2019

New package webex with initial version 0.9.1
Package: webex
Version: 0.9.1
Date: 2019-04-25
Title: Create Interactive Web Exercises in 'R Markdown'
Description: Functions for easily creating interactive web pages using 'R Markdown' that students can use in self-guided learning.
Authors@R: c(person("Dale", "Barr", email = "dalejbarr@protonmail.com", role = c("aut", "cre")), person("Lisa", "DeBruine", email = "lisa.debruine@glasgow.ac.uk", role = "aut"))
URL: https://github.com/psyteachr/webex
Depends: R (>= 3.1.2)
Imports: jsonlite, rmarkdown, knitr
License: CC BY-SA 4.0
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-05-02 10:41:13 UTC; dalebarr
Author: Dale Barr [aut, cre], Lisa DeBruine [aut]
Maintainer: Dale Barr <dalejbarr@protonmail.com>
Repository: CRAN
Date/Publication: 2019-05-03 17:00:03 UTC

More information about webex at CRAN
Permanent link

New package QBAsyDist with initial version 0.1.1
Package: QBAsyDist
Type: Package
Title: Asymmetric Distributions and Quantile Estimation
Version: 0.1.1
Author: Rezaul Karim <rezaul@juniv.edu>, Irène Gijbels <Irene.Gijbels@kuleuven.be>, Anneleen Verhasselt <anneleen.verhasselt@uhasselt.be >
Maintainer: Md Rezaul Karim <rezaul@juniv.edu>
Description: Provides the local polynomial maximum likelihood estimates for the location and scale functions as well as the semiparametric quantile estimates in the generalized quantile-based asymmetric distributional setting. These functions are useful for any member of the generalized quantile-based asymmetric family of distributions.
Depends: R (>= 3.4)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: ald (>= 1.2), zipfR (>= 0.6-10), GoFKernel (>= 2.1-1), Deriv (>= 3.8.5), nloptr (>= 1.2.1), quantreg (>= 5.38), locpol (>= 0.7-0)
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-02 14:29:31 UTC; u0106215
Repository: CRAN
Date/Publication: 2019-05-03 16:40:03 UTC

More information about QBAsyDist at CRAN
Permanent link

New package abtest with initial version 0.1.2
Package: abtest
Type: Package
Title: Bayesian A/B Testing
Version: 0.1.2
Authors@R: c(person(given="Quentin F.", family="Gronau", role=c("aut", "cre"), email="Quentin.F.Gronau@gmail.com"), person(given="Akash", family="Raj", role="ctb"), person(given="Eric-Jan", family="Wagenmakers", role="ths"))
Description: Provides functions for Bayesian A/B testing including prior elicitation options based on Kass and Vaidyanathan (1992) <doi:10.1111/j.2517-6161.1992.tb01868.x>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.0)
Imports: Rcpp (>= 0.12.14), mvtnorm, sn, VGAM, truncnorm, plotrix, grDevices, RColorBrewer, Matrix
LinkingTo: Rcpp
RoxygenNote: 6.1.0
Suggests: testthat
NeedsCompilation: yes
Packaged: 2019-05-03 10:14:06 UTC; quentin
Author: Quentin F. Gronau [aut, cre], Akash Raj [ctb], Eric-Jan Wagenmakers [ths]
Maintainer: Quentin F. Gronau <Quentin.F.Gronau@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-03 16:10:15 UTC

More information about abtest at CRAN
Permanent link

New package WaMaSim with initial version 1.0.0
Package: WaMaSim
Type: Package
Title: Simulate Rehabilitation Strategies for Water Distribution Systems
Version: 1.0.0
Date: 2019-05-02
Authors@R: c( person("Andreas", "Scheidegger", email="andreas.scheidegger@eawag.ch", role="aut"), person("Rachel", "Barrett", email=NULL, role="aut"), person("Christian", "Foerster", email="christian.foerster@eawag.ch", role="cre") )
Author: Andreas Scheidegger [aut], Rachel Barrett [aut], Christian Foerster [cre]
Maintainer: Christian Foerster <christian.foerster@eawag.ch>
Description: The outcome of various rehabilitation strategies for water distribution systems can be modeled with the Water Management Simulator (WaMaSim). Pipe breaks and the corresponding damage and rehabilitation costs are simulated. It is mainly intended to be used as educational tool for the Water Infrastructure Experimental and Computer Laboratory at ETH Zurich, Switzerland.
Encoding: UTF-8
URL: https://github.com/scheidan/WaMaSim
BugReports: https://github.com/scheidan/WaMaSim/issues
License: GPL-3
RoxygenNote: 6.1.1
Depends: magrittr (>= 1.5)
Suggests: testthat
NeedsCompilation: no
Packaged: 2019-05-03 06:59:43 UTC; heinrich
Repository: CRAN
Date/Publication: 2019-05-03 15:50:13 UTC

More information about WaMaSim at CRAN
Permanent link

New package trendsegmentR with initial version 1.0.0
Package: trendsegmentR
Title: Linear Trend Segmentation and Point Anomaly Detection
Version: 1.0.0
Authors@R: c(person("Hyeyoung", "Maeng", email = "h.maeng@lse.ac.uk", role = c("aut", "cre")), person("Piotr", "Fryzlewicz", email = "p.fryzlewicz@lse.ac.uk", role="aut"))
Description: Performs the detection of point anomalies and linear trend changes for univariate time series by implementing the bottom-up unbalanced wavelet transformation proposed by H. Maeng and P. Fryzlewicz (2019) <http://personal.lse.ac.uk/maengh/>. The estimated number and locations of the change-points are returned with the piecewise-linear estimator for signal.
Depends: R (>= 3.6.0)
License: GPL
Encoding: UTF-8
RoxygenNote: 6.1.1
LazyData: true
NeedsCompilation: no
Maintainer: Hyeyoung Maeng <h.maeng@lse.ac.uk>
Repository: CRAN
Packaged: 2019-05-03 13:16:21 UTC; maengh
Author: Hyeyoung Maeng [aut, cre], Piotr Fryzlewicz [aut]
Date/Publication: 2019-05-03 15:20:03 UTC

More information about trendsegmentR at CRAN
Permanent link

New package Sojourn.Data with initial version 0.1.0
Package: Sojourn.Data
Type: Package
Title: Supporting Objects for Sojourn Accelerometer Methods
Version: 0.1.0
Authors@R: c( person(c("Paul", "R."), "Hibbing", email = "paulhibbing@gmail.com", role = c("aut","cre")), person(c("Kate"), "Lyden", email = "katelyden6@gmail.com", role = c("aut")) )
Depends: R (>= 3.1.0)
Description: Stores objects (e.g. neural networks) that are needed for using Sojourn accelerometer methods. For more information, see Lyden K, Keadle S, Staudenmayer J, & Freedson P (2014) <doi:10.1249/MSS.0b013e3182a42a2d>, Ellingson LD, Schwabacher IJ, Kim Y, Welk GJ, & Cook DB (2016) <doi:10.1249/MSS.0000000000000915>, and Hibbing PR, Ellingson LD, Dixon PM, & Welk GJ (2018) <doi:10.1249/MSS.0000000000001486>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://github.com/paulhibbing/Sojourn.Data
BugReports: https://github.com/paulhibbing/Sojourn.Data/issues
Imports: caret, nnet
NeedsCompilation: no
Packaged: 2019-05-02 04:10:45 UTC; Paul
Author: Paul R. Hibbing [aut, cre], Kate Lyden [aut]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-03 15:40:03 UTC

More information about Sojourn.Data at CRAN
Permanent link

New package SimVitD with initial version 0.1.0
Package: SimVitD
Type: Package
Title: Simulation Tools for Planning Vitamin D Studies
Version: 0.1.0
Author: Rebecca Mangan
Maintainer: Jason Wyse <wyseja@tcd.ie>
Description: Simulation tools for planning Vitamin D studies including approximation of power. Individual vitamin D status profiles are simulated, modelling population heterogeneity. Individuals experience random exposures to infectious agents. Development of infection considers a heterogeneous treatment effect. This is incorporated into the power approximation.
License: GPL (>= 2)
Depends: poisson
Suggests: R.rsp
VignetteBuilder: R.rsp
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2019-05-03 06:20:22 UTC; jason
Repository: CRAN
Date/Publication: 2019-05-03 15:30:13 UTC

More information about SimVitD at CRAN
Permanent link

New package rnassqs with initial version 0.4.0
Package: rnassqs
Type: Package
Title: Access the NASS 'Quick Stats' API
Version: 0.4.0
Date: 2019-04-29
Authors@R: c( person('Nicholas', 'Potter', email='potter.nicholas@gmail.com', role = c('aut', 'cre')), person('Joseph', 'Stachelek', email='', role = c('ctb')), person('Julia', 'Piaskowski', email='', role = c('ctb')))
Maintainer: Nicholas Potter <potter.nicholas@gmail.com>
Description: Interface to access data via the United States Department of Agricultre's National Agricultural Statistical Service (NASS) 'Quick Stats' web API <https://quickstats.nass.usda.gov/api>. Convenience functions facilitate building queries based on available parameters and valid parameter values.
URL: https://github.com/potterzot/rnassqs
BugReports: http://www.github.com/potterzot/rnassqs/issues
License: MIT + file LICENSE
LazyData: TRUE
Language: en-US
Imports: httr, jsonlite,
Suggests: testthat, here, knitr, rmarkdown
RoxygenNote: 6.1.1
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-02 17:54:30 UTC; potterzot
Author: Nicholas Potter [aut, cre], Joseph Stachelek [ctb], Julia Piaskowski [ctb]
Repository: CRAN
Date/Publication: 2019-05-03 15:30:03 UTC

More information about rnassqs at CRAN
Permanent link

New package paws.security.identity with initial version 0.1.0
Package: paws.security.identity
Title: Amazon Web Services Security, Identity, & Compliance APIs
Version: 0.1.0
Authors@R: c(person(given = "David", family = "Kretch", role = c("aut", "cre"), email = "david.kretch@gmail.com"), person(given = "Adam", family = "Banker", role = "aut", email = "adam.banker39@gmail.com"), person(given = "Amazon.com, Inc.", role = "cph"))
Description: Interface to Amazon Web Services security, identity, and compliance APIs, including the 'Identity & Access Management' ('IAM') service for managing access to services and resources, and more <https://aws.amazon.com/>.
License: Apache License (>= 2.0)
Imports: paws.common
Suggests: testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Collate: 'acm_service.R' 'acm_interfaces.R' 'acm_operations.R' 'acmpca_service.R' 'acmpca_interfaces.R' 'acmpca_operations.R' 'clouddirectory_service.R' 'clouddirectory_interfaces.R' 'clouddirectory_operations.R' 'cloudhsm_service.R' 'cloudhsm_interfaces.R' 'cloudhsm_operations.R' 'cloudhsmv2_service.R' 'cloudhsmv2_interfaces.R' 'cloudhsmv2_operations.R' 'cognitoidentity_service.R' 'cognitoidentity_interfaces.R' 'cognitoidentity_operations.R' 'cognitoidentityprovider_service.R' 'cognitoidentityprovider_interfaces.R' 'cognitoidentityprovider_operations.R' 'cognitosync_service.R' 'cognitosync_interfaces.R' 'cognitosync_operations.R' 'directoryservice_service.R' 'directoryservice_interfaces.R' 'directoryservice_operations.R' 'fms_service.R' 'fms_interfaces.R' 'fms_operations.R' 'guardduty_service.R' 'guardduty_interfaces.R' 'guardduty_operations.R' 'iam_service.R' 'iam_interfaces.R' 'iam_operations.R' 'inspector_service.R' 'inspector_interfaces.R' 'inspector_operations.R' 'kms_service.R' 'kms_interfaces.R' 'kms_operations.R' 'macie_service.R' 'macie_interfaces.R' 'macie_operations.R' 'ram_service.R' 'ram_interfaces.R' 'ram_operations.R' 'secretsmanager_service.R' 'secretsmanager_interfaces.R' 'secretsmanager_operations.R' 'securityhub_service.R' 'securityhub_interfaces.R' 'securityhub_operations.R' 'shield_service.R' 'shield_interfaces.R' 'shield_operations.R' 'sts_service.R' 'sts_interfaces.R' 'sts_operations.R' 'waf_service.R' 'waf_interfaces.R' 'waf_operations.R' 'wafregional_service.R' 'wafregional_interfaces.R' 'wafregional_operations.R'
NeedsCompilation: no
Packaged: 2019-04-30 23:49:20 UTC; david.kretch
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-03 15:20:06 UTC

More information about paws.security.identity at CRAN
Permanent link

New package EmiStatR with initial version 1.2.2.0
Package: EmiStatR
Type: Package
Title: Emissions and Statistics in R for Wastewater and Pollutants in Combined Sewer Systems
Version: 1.2.2.0
Date: 2019-05-03
Author: J.A. Torres-Matallana [aut, cre] K. Klepiszewski [aut, cre] U. Leopold [ctb] G. Schutz [ctb] G.B.M. Heuvelink [ctb]
Maintainer: J.A. Torres-Matallana <arturo.torres@list.lu>
Description: Provides a fast and parallelised calculator to estimate combined wastewater emissions. It supports the planning and design of urban drainage systems, without the requirement of extensive simulation tools. The 'EmiStatR' package implements modular R methods. This enables to add new functionalities through the R framework.
License: GPL (>= 3)
Depends: R (>= 2.10), methods
Imports: utils, grDevices, graphics, stats, xts, zoo, foreach, parallel, lattice, doParallel
NeedsCompilation: no
StagedInstall: yes
Packaged: 2019-05-03 09:50:03 UTC; atorres
Repository: CRAN
Date/Publication: 2019-05-03 15:50:24 UTC

More information about EmiStatR at CRAN
Permanent link

New package amerika with initial version 0.1.0
Package: amerika
Type: Package
Title: American Politics-Inspired Color Palette Generator
Version: 0.1.0
Authors@R: person("Philip", "Waggoner", role = c("aut", "cre"), email = "philip.waggoner@gmail.com", comment = c(ORCID = "0000-0002-7825-7573"))
Maintainer: Philip Waggoner <philip.waggoner@gmail.com>
BugReports: https://github.com/pdwaggoner/amerika/issues
Description: A color palette generator inspired by American politics, with colors ranging from blue on the left to gray in the middle and red on the right. A variety of palettes allow for a range of applications from brief discrete scales (e.g., three colors for Democrats, Independents, and Republicans) to continuous interpolated arrays including dozens of shades graded from blue (left) to red (right). This package greatly benefitted from building on the source code (with permission) from Ram and Wickham (2015).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-02 13:27:05 UTC; bpwaggo
Author: Philip Waggoner [aut, cre] (<https://orcid.org/0000-0002-7825-7573>)
Repository: CRAN
Date/Publication: 2019-05-03 15:20:21 UTC

More information about amerika at CRAN
Permanent link

New package paws.application.integration with initial version 0.1.0
Package: paws.application.integration
Title: Amazon Web Services Application Integration APIs
Version: 0.1.0
Authors@R: c(person(given = "David", family = "Kretch", role = c("aut", "cre"), email = "david.kretch@gmail.com"), person(given = "Adam", family = "Banker", role = "aut", email = "adam.banker39@gmail.com"), person(given = "Amazon.com, Inc.", role = "cph"))
Description: Interface to Amazon Web Services application integration APIs, including 'Simple Queue Service' ('SQS') message queue, 'Simple Notification Service' ('SNS') publish/subscribe messaging, and more <https://aws.amazon.com/>.
License: Apache License (>= 2.0)
Imports: paws.common
Suggests: testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Collate: 'mq_service.R' 'mq_interfaces.R' 'mq_operations.R' 'sfn_service.R' 'sfn_interfaces.R' 'sfn_operations.R' 'sns_service.R' 'sns_interfaces.R' 'sns_operations.R' 'sqs_service.R' 'sqs_interfaces.R' 'sqs_operations.R' 'swf_service.R' 'swf_interfaces.R' 'swf_operations.R'
NeedsCompilation: no
Packaged: 2019-04-30 23:43:38 UTC; david.kretch
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-03 13:10:03 UTC

More information about paws.application.integration at CRAN
Permanent link

New package istacr with initial version 0.1.0
Package: istacr
Type: Package
Title: Obtaining Open Data from Instituto Canario De Estadistica (ISTAC) API
Version: 0.1.0
Date: 2019-04-24
Authors@R: c( person("Alberto", "Gonzalez", email = "jgonyanp@gobiernodecanarias.org", role = c("aut", "cre")) )
Maintainer: Alberto Gonzalez <jgonyanp@gobiernodecanarias.org>
Description: You can access to open data published in Instituto Canario De Estadistica (ISTAC) APIs at <https://www.gobiernodecanarias.org/istac/api/>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: jsonlite, curl
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-04-24 06:40:46 UTC; ext-anacgar
Author: Alberto Gonzalez [aut, cre]
Repository: CRAN
Date/Publication: 2019-05-03 13:50:03 UTC

More information about istacr at CRAN
Permanent link

New package gunit with initial version 1.0.0
Package: gunit
Type: Package
Title: Converts Conductance Units
Version: 1.0.0
Authors@R: person("Chris", "Muir", role = c("aut", "cre"), email = "cdmuir@hawaii.edu", comment = c(ORCID = "0000-0003-2555-3878"))
Description: For plant physiologists, converts conductance (e.g. stomatal conductance) to different units: m/s, mol/m^2/s, and umol/m^2/s/Pa.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat
RoxygenNote: 6.1.1
Imports: magrittr (>= 1.5.0), stringr (>= 1.4.0), units (>= 0.6.0), tibble (>= 2.1.1)
URL: https://github.com/cdmuir/gunit
BugReports: https://github.com/cdmuir/gunit/issues
NeedsCompilation: no
Packaged: 2019-05-03 08:13:59 UTC; cdmuir
Author: Chris Muir [aut, cre] (<https://orcid.org/0000-0003-2555-3878>)
Maintainer: Chris Muir <cdmuir@hawaii.edu>
Repository: CRAN
Date/Publication: 2019-05-03 13:30:03 UTC

More information about gunit at CRAN
Permanent link

New package distill with initial version 0.7
Type: Package
Package: distill
Title: 'R Markdown' Format for Scientific and Technical Writing
Version: 0.7
Authors@R: c( person("JJ", "Allaire", role = c("aut", "cre"), email = "jj@rstudio.com"), person("Rich", "Iannone", role = c("aut")), person("Yihui", "Xie", role = c("aut")), person(family = "RStudio, Inc.", role = "cph"), person(family = "Google LLC", role = c("ctb", "cph"), comment = "https://distill.pub/guide/"), person("Nick", "Williams", role = c("ctb", "cph"), comment = "https://wicky.nillia.ms/headroom.js/"), person("Denis", "Demchenko", role = c("ctb", "cph"), comment = "https://github.com/lancedikson/bowser"), person(family = "The Polymer Authors", role = c("ctb", "cph"), comment = "https://www.webcomponents.org/polyfills/"), person("Gábor", "Csárdi", role = c("ctb", "cph"), comment = "whoami") )
Description: Scientific and technical article format for the web. 'Distill' articles feature attractive, reader-friendly typography, flexible layout options for visualizations, and full support for footnotes and citations.
License: Apache License 2.0
URL: https://github.com/rstudio/distill
BugReports: https://github.com/rstudio/distill/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Imports: utils, stats, tools, rmarkdown (>= 1.10), bookdown (>= 0.8), xfun (>= 0.2), htmltools, jsonlite (>= 1.3), lubridate, png, mime, rstudioapi, rprojroot, xml2, base64enc, whisker, downloader, progress, stringr, knitr (>= 1.15.6), digest, yaml
Suggests: htmlwidgets, r2d3, DiagrammeR, shiny, rsconnect, testthat
Language: en-US
NeedsCompilation: no
Packaged: 2019-05-02 12:02:05 UTC; jjallaire
Author: JJ Allaire [aut, cre], Rich Iannone [aut], Yihui Xie [aut], RStudio, Inc. [cph], Google LLC [ctb, cph] (https://distill.pub/guide/), Nick Williams [ctb, cph] (https://wicky.nillia.ms/headroom.js/), Denis Demchenko [ctb, cph] (https://github.com/lancedikson/bowser), The Polymer Authors [ctb, cph] (https://www.webcomponents.org/polyfills/), Gábor Csárdi [ctb, cph] (whoami)
Maintainer: JJ Allaire <jj@rstudio.com>
Repository: CRAN
Date/Publication: 2019-05-03 13:10:08 UTC

More information about distill at CRAN
Permanent link

New package dialr with initial version 0.2.1
Package: dialr
Title: Parse, Format, and Validate International Phone Numbers
Version: 0.2.1
Authors@R: c(person(given = "Danny", family = "Smith", role = c("aut", "cre"), email = "danny@gorcha.org"), person(given = "The Social Research Centre", role = "cph"))
Description: Parse, format, and validate international phone numbers using Google's 'libphonenumber' java library, <https://github.com/googlei18n/libphonenumber>.
License: GPL-3
URL: https://socialresearchcentre.github.io/dialr, https://github.com/socialresearchcentre/dialr, https://github.com/socialresearchcentre/dialrjars, https://github.com/googlei18n/libphonenumber
BugReports: https://github.com/socialresearchcentre/dialr/issues
Depends: R (>= 3.2.3)
Imports: dialrjars, rJava
Suggests: covr, dplyr, knitr, pillar, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
RoxygenNote: 6.1.1
SystemRequirements: java (>= 1.6)
Packaged: 2019-05-02 10:43:35 UTC; danny
Author: Danny Smith [aut, cre], The Social Research Centre [cph]
Maintainer: Danny Smith <danny@gorcha.org>
Repository: CRAN
Date/Publication: 2019-05-03 13:10:12 UTC

More information about dialr at CRAN
Permanent link

New package dani with initial version 0.1-0
Package: dani
Type: Package
Title: Design and Analysis of Non-Inferiority Trials
Version: 0.1-0
Date: 2019-05-02
Author: Matteo Quartagno
Maintainer: Matteo Quartagno <m.quartagno@ucl.ac.uk>
Description: Provides tools to help the design and analysis of resilient non-inferiority trials. These include functions for sample size calculations and analyses of trials, with either a risk difference, risk ratio or arc-sine difference margin, and a function to run simulations to design a trial with the methods described in Quartagno et al. (2019) <arXiv:1905.00241>.
License: GPL-2
Depends: Epi
NeedsCompilation: no
Packaged: 2019-05-03 12:59:15 UTC; rmjlmqu
Repository: CRAN
Date/Publication: 2019-05-03 13:30:11 UTC

More information about dani at CRAN
Permanent link

New package suddengains with initial version 0.1.0
Package: suddengains
Title: Identify Sudden Gains in Longitudinal Data
Date: 2019-05-01
Version: 0.1.0
Authors@R: c( person("Milan", "Wiedemann", email = "milan.wiedemann@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1991-282X")), person("Graham M", "Thew", role = "ctb", comment = c(ORCID = "0000-0003-2851-1315")), person("Richard", "Stott", role = "ctb", comment = c(ORCID = "0000-0003-2533-5504")), person("Anke", "Ehlers", role = c("ctb", "ths"), comment = c(ORCID = "0000-0002-8742-0192")) )
Description: Identify sudden gains based on the criteria outlined by Tang and DeRubeis (1999) <doi:10.1037/0022-006X.67.6.894>. Sudden losses, defined as the opposite of sudden gains can also be identified. It applies all three criteria to a dataset while adjusting the third criteria for missing values. It handles multiple gains per person by creating two datasets, one with all sudden gains and one with one selected sudden gain for each participant. It can extract and plot scores around sudden gains on multiple measures. See the GitHub repository for more information and examples.
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
URL: https://github.com/milanwiedemann/suddengains
BugReports: https://github.com/milanwiedemann/suddengains/issues
LazyData: true
Imports: dplyr (>= 0.7.4), tibble (>= 1.4.2), magrittr (>= 1.5), rlang (>= 0.1.6), stringr (>= 1.4.0), ggplot2 (>= 2.2.1), psych (>= 1.7.8), reshape2 (>= 1.4.3), readr (>= 1.1.0), tidyr (>= 0.8.2)
Suggests: haven (>= 2.1.0), writexl (>= 1.1.0), knitr (>= 1.21), DT (>= 0.5), rmarkdown (>= 1.11), spelling (>= 2.1)
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2019-05-01 23:00:09 UTC; milanwiedemann
Author: Milan Wiedemann [aut, cre] (<https://orcid.org/0000-0003-1991-282X>), Graham M Thew [ctb] (<https://orcid.org/0000-0003-2851-1315>), Richard Stott [ctb] (<https://orcid.org/0000-0003-2533-5504>), Anke Ehlers [ctb, ths] (<https://orcid.org/0000-0002-8742-0192>)
Maintainer: Milan Wiedemann <milan.wiedemann@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-03 12:40:04 UTC

More information about suddengains at CRAN
Permanent link

New package scgwr with initial version 0.1.0
Package: scgwr
Type: Package
Title: Scalable Geographically Weighted Regression
Version: 0.1.0
Author: Daisuke Murakami[cre,aut], Narumasa Tsutsumida[ctb], Takahiro Yoshida[ctb], Tomoki Nakaya[ctb], Lu Binbin[ctb]
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>
Description: Estimates a fast and regularized version of GWR for large dataset, detailed in Murakami, Tsutsumida, Yoshida, Nakaya, and Lu (2019) <arXiv:1905.00266>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: FNN, spData, dplyr
NeedsCompilation: no
Packaged: 2019-05-02 01:19:37 UTC; murakami
Repository: CRAN
Date/Publication: 2019-05-03 12:50:03 UTC

More information about scgwr at CRAN
Permanent link

New package rTRNG with initial version 4.20-1
Package: rTRNG
Title: Advanced and Parallel Random Number Generation via 'TRNG'
Version: 4.20-1
Authors@R: c(person("Riccardo", "Porreca", role = c("aut", "cre"), email = "riccardo.porreca@mirai-solutions.com"), person("Roland", "Schmid", role = "aut", email = "roland.schmid@mirai-solutions.com"), person("Mirai Solutions GmbH", role = "cph", email = "info@mirai-solutions.com"), person("Heiko", "Bauke", role = c("ctb", "cph"), comment = "TRNG sources and headers"))
Description: Embeds sources and headers from Tina's Random Number Generator ('TRNG') C++ library. Exposes some functionality for easier access, testing and benchmarking into R. Provides examples of how to use parallel RNG with 'RcppParallel'. The methods and techniques behind 'TRNG' are illustrated in the package vignettes and examples. Full documentation is available in Bauke (2018) <https://numbercrunch.de/trng/trng.pdf>.
License: GPL-3
URL: https://github.com/miraisolutions/rTRNG#readme, https://mirai-solutions.ch
BugReports: https://github.com/miraisolutions/rTRNG/issues
SystemRequirements: GNU make
Imports: methods, Rcpp (>= 0.11.6), RcppParallel
Suggests: covr, knitr, R.rsp, rmarkdown, testthat (>= 2.0.0)
LinkingTo: Rcpp, RcppParallel
VignetteBuilder: knitr, R.rsp
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
RoxygenNote: 6.1.1
Collate: 'LdFlags.R' 'RcppExports.R' 'TRNG.Engine.R' 'TRNG.Random.R' 'TRNGkind.R' 'TRNGseed.R' 'TRNGjump.R' 'TRNGsplit.R' 'TRNG.Random.seed.R' 'TRNG.Version.R' 'currentEngine.R' 'defaultKind.R' 'inline.R' 'rTRNG-package.R' 'rbinom_trng.R' 'rlnorm_trng.R' 'rnorm_trng.R' 'rpois_trng.R' 'runif_trng.R' 'zzz.R'
Packaged: 2019-04-27 14:01:09 UTC; mirai
Author: Riccardo Porreca [aut, cre], Roland Schmid [aut], Mirai Solutions GmbH [cph], Heiko Bauke [ctb, cph] (TRNG sources and headers)
Maintainer: Riccardo Porreca <riccardo.porreca@mirai-solutions.com>
Repository: CRAN
Date/Publication: 2019-05-03 12:10:03 UTC

More information about rTRNG at CRAN
Permanent link

New package RBtest with initial version 1.0
Package: RBtest
Type: Package
Title: Regression-Based Approach for Testing the Type of Missing Data
Version: 1.0
Author: Serguei Rouzinov and André Berchtold
Maintainer: Serguei Rouzinov <rouzinovs@gmail.com>
Description: The regression-based (RB) approach is a method to test the missing data mechanism. This package contains two functions that test the type of missing data (Missing Completely At Random vs Missing At Random) on the basis of the RB approach. The first function applies the RB approach independently on each variable with missing data, using the completely observed variables only. The second function tests the missing data mechanism globally (on all variables with missing data) with the use of all available information. The algorithm is adapted both to continuous and categorical data.
License: GPL-3
Imports: nnet, mice, psych
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-04-21 12:01:04 UTC; Serguei
Repository: CRAN
Date/Publication: 2019-05-03 12:40:18 UTC

More information about RBtest at CRAN
Permanent link

New package prettyB with initial version 0.1.1
Package: prettyB
Type: Package
Title: Pretty Base Graphics
Version: 0.1.1
Authors@R: person(given="Colin", family="Gillespie", email="csgillespie@gmail.com", role = c("aut", "cre"))
Maintainer: Colin Gillespie <csgillespie@gmail.com>
Description: Modifications to standard base graphics. By masking function base function calls, standard plots are able to have themes.
License: GPL-2 | GPL-3
Imports: grDevices, stats, graphics
Suggests: testthat, vdiffr, covr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-01 10:27:02 UTC; ncsg3
Author: Colin Gillespie [aut, cre]
Repository: CRAN
Date/Publication: 2019-05-03 12:40:08 UTC

More information about prettyB at CRAN
Permanent link

New package paws.storage with initial version 0.1.0
Package: paws.storage
Title: Amazon Web Services Storage APIs
Version: 0.1.0
Authors@R: c(person(given = "David", family = "Kretch", role = c("aut", "cre"), email = "david.kretch@gmail.com"), person(given = "Adam", family = "Banker", role = "aut", email = "adam.banker39@gmail.com"), person(given = "Amazon.com, Inc.", role = "cph"))
Description: Interface to Amazon Web Services storage APIs, including 'Simple Storage Service' ('S3') and more <https://aws.amazon.com/>.
License: Apache License (>= 2.0)
Imports: paws.common
Suggests: testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Collate: 'backup_service.R' 'backup_interfaces.R' 'backup_operations.R' 'dlm_service.R' 'dlm_interfaces.R' 'dlm_operations.R' 'efs_service.R' 'efs_interfaces.R' 'efs_operations.R' 'fsx_service.R' 'fsx_interfaces.R' 'fsx_operations.R' 'glacier_service.R' 'glacier_interfaces.R' 'glacier_operations.R' 's3_service.R' 's3_interfaces.R' 's3_operations.R' 's3control_service.R' 's3control_interfaces.R' 's3control_operations.R' 'storagegateway_service.R' 'storagegateway_interfaces.R' 'storagegateway_operations.R'
NeedsCompilation: no
Packaged: 2019-04-30 23:36:55 UTC; david.kretch
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-03 12:40:11 UTC

More information about paws.storage at CRAN
Permanent link

New package paws.database with initial version 0.1.0
Package: paws.database
Title: Amazon Web Services Database APIs
Version: 0.1.0
Authors@R: c(person(given = "David", family = "Kretch", role = c("aut", "cre"), email = "david.kretch@gmail.com"), person(given = "Adam", family = "Banker", role = "aut", email = "adam.banker39@gmail.com"), person(given = "Amazon.com, Inc.", role = "cph"))
Description: Interface to Amazon Web Services database APIs, including 'Relational Database Service' ('RDS'), 'DynamoDB' 'NoSQL' database, and more <https://aws.amazon.com/>.
License: Apache License (>= 2.0)
Imports: paws.common
Suggests: testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Collate: 'dax_service.R' 'dax_interfaces.R' 'dax_operations.R' 'docdb_service.R' 'docdb_interfaces.R' 'docdb_operations.R' 'dynamodb_service.R' 'dynamodb_interfaces.R' 'dynamodb_operations.R' 'dynamodbstreams_service.R' 'dynamodbstreams_interfaces.R' 'dynamodbstreams_operations.R' 'elasticache_service.R' 'elasticache_interfaces.R' 'elasticache_operations.R' 'neptune_service.R' 'neptune_interfaces.R' 'neptune_operations.R' 'rds_service.R' 'rds_interfaces.R' 'rds_operations.R' 'rdsdataservice_service.R' 'rdsdataservice_interfaces.R' 'rdsdataservice_operations.R' 'redshift_service.R' 'redshift_interfaces.R' 'redshift_operations.R' 'simpledb_service.R' 'simpledb_interfaces.R' 'simpledb_operations.R'
NeedsCompilation: no
Packaged: 2019-04-30 23:41:20 UTC; david.kretch
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-03 12:50:15 UTC

More information about paws.database at CRAN
Permanent link

New package missingHE with initial version 1.0.0
Package: missingHE
Type: Package
Title: Missing Outcome Data in Health Economic Evaluation
Version: 1.0.0
Authors@R: person("Andrea", "Gabrio", email = "ucakgab@ucl.ac.uk", role = c("aut", "cre"))
Description: Contains a suite of functions for health economic evaluations with missing outcome data. The package can fit different types of statistical models under a fully Bayesian approach using the software 'JAGS' (which should be installed locally and which is loaded in 'missingHE' via the 'R' package 'R2jags'). Three classes of models can be fitted under a variety of missing data assumptions: selection models, pattern mixture models and hurdle models. In addition to model fitting, 'missingHE' provides a set of specialised functions to assess model convergence and summarise the statistical and economic results using different types of measures and graphs. The methods implemented are described in Mason (2018) <doi:10.1002/hec.3793>, Molenberghs (2000) <doi:10.1007/978-1-4419-0300-6_18> and Gabrio (2019) <doi:10.1002/sim.8045>.
Depends: R (>= 3.3.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: mcmcplots, ggmcmc, ggthemes, BCEA, ggplot2, grid, gridExtra, methods, R2jags, loo, coda, mcmcr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-02 09:00:29 UTC; Utente
Author: Andrea Gabrio [aut, cre]
Maintainer: Andrea Gabrio <ucakgab@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2019-05-03 12:50:34 UTC

More information about missingHE at CRAN
Permanent link

New package FMradio with initial version 1.1
Package: FMradio
Type: Package
Title: Factor Modeling for Radiomics Data
Version: 1.1
Maintainer: Carel F.W. Peeters <cf.peeters@vumc.nl>
Author: Carel F.W. Peeters [cre, aut], Caroline Ubelhor [ctb]
Description: Functions that support stable prediction and classification with radiomics data through factor-analytic modeling. For details, see Peeters et al. (2019) <arXiv:1903.11696>.
Depends: R (>= 2.15.1)
Imports: stats, ggplot2, reshape, Biobase, graphics, expm, MASS
ByteCompile: true
KeepSource: yes
License: GPL (>= 2)
BuildManual: yes
URL: https://github.com/CFWP/FMradio
NeedsCompilation: no
Packaged: 2019-05-02 07:33:34 UTC; cf.peeters
Repository: CRAN
Date/Publication: 2019-05-03 13:00:06 UTC

More information about FMradio at CRAN
Permanent link

New package devoid with initial version 0.1.0
Package: devoid
Type: Package
Title: A Graphic Device that Does Nothing
Version: 0.1.0
Authors@R: c(person(given = "Thomas Lin", family = "Pedersen", role = c("aut", "cre"), email = "thomas.pedersen@rstudio.com"), person(given = "RStudio", role = "cph"))
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>
Description: Provides a non-drawing graphic device for benchmarking purpose. In order to properly benchmark graphic drawing code it is necessary to factor out the device implementation itself so that results are not related to the specific graphics device used during benchmarking. The 'devoid' package implements a graphic device that accepts all the required calls from R's graphic engine but performs no action. Apart from benchmarking it is unlikely that this device has any practical use.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://github.com/r-lib/devoid
BugReports: https://github.com/r-lib/devoid/issues
NeedsCompilation: yes
Packaged: 2019-05-01 19:33:58 UTC; thomas
Author: Thomas Lin Pedersen [aut, cre], RStudio [cph]
Repository: CRAN
Date/Publication: 2019-05-03 13:00:03 UTC

More information about devoid at CRAN
Permanent link

New package CTShiny with initial version 0.1.0
Package: CTShiny
Type: Package
Title: Interactive Document for Working with Classification Tree Analysis
Version: 0.1.0
Author: Kartikeya Bolar
Maintainer: Kartikeya Bolar <kartikeya.bolar@tapmi.edu.in>
Description: An interactive document on the topic of classification tree analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://kartikeyab.shinyapps.io/CTShiny/>.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.0.3)
Imports: shiny,rmarkdown,dplyr,datasets,caret,e1071,rhandsontable,rpart,rpart.plot,party
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-05-02 05:59:46 UTC; KARTIKEYA
Repository: CRAN
Date/Publication: 2019-05-03 12:51:01 UTC

More information about CTShiny at CRAN
Permanent link

New package BVAR with initial version 0.1.3
Package: BVAR
Type: Package
Title: Hierarchical Bayesian Vector Autoregression
Version: 0.1.3
Date: 2019-04-28
Authors@R: c(person("Nikolas", "Kuschnig", role = c("aut", "cre"), email = "nikolas.kuschnig@wu.ac.at"), person("Lukas", "Vashold", role = "aut"), person("Michael", "McCracken", role = "dtc", comment = "author of the FRED-QD dataset"))
Author: Nikolas Kuschnig [aut, cre], Lukas Vashold [aut], Michael McCracken [dtc] (author of the FRED-QD dataset)
Maintainer: Nikolas Kuschnig <nikolas.kuschnig@wu.ac.at>
Description: Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015) <doi:10.1162/REST_a_00483>. Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.
URL: https://github.com/nk027/bvar
BugReports: https://github.com/nk027/bvar/issues
Depends: R (>= 3.3.0)
Imports: MASS, stats, graphics, utils
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-02 09:56:31 UTC; nikolas
Repository: CRAN
Date/Publication: 2019-05-03 13:00:11 UTC

More information about BVAR at CRAN
Permanent link

New package IOHanalyzer with initial version 0.1.0
Package: IOHanalyzer
Type: Package
Title: Data Analysis Part of 'IOHprofiler'
Version: 0.1.0
Author: Hao Wang [cre, aut], Diederick Vermetten [aut], Carola Doerr [aut], Thomas Bäck [aut]
Maintainer: Hao Wang <h.wang@liacs.leidenuniv.nl>
Authors@R: c( person("Hao", "Wang", email = "h.wang@liacs.leidenuniv.nl", role = c("cre","aut")), person("Diederick", "Vermetten", email="d.vermetten@gmail.com", role = "aut"), person("Carola", "Doerr", email = "Carola.Doerr@mpi-inf.mpg.de", role = "aut"), person("Thomas", "Bäck", email="t.h.w.baeck@liacs.leidenuniv.nl", role = "aut"))
Description: The data analysis module for the Iterative Optimization Heuristics Profiler ('IOHprofiler'). This module provides statistical analysis methods for the benchmark data generated by optimization heuristics, which can be visualized through a web-based interface. The benchmark data is usually generated by the experimentation module, called 'IOHexperimenter'. 'IOHanalyzer' also supports the widely used 'COCO' (Comparing Continuous Optimisers) data format for benchmarking.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
URL: http://iohprofiler.liacs.nl, https://github.com/IOHprofiler/IOHAnalyzer
BugReports: https://github.com/IOHprofiler/IOHAnalyzer/issues
Imports: Rcpp, magrittr, dplyr, reshape2, data.table, ggplot2, plotly, colorspace, colorRamps, RColorBrewer, shiny, shinyjs, shinydashboard, markdown, DBI, dbplyr, withr
LinkingTo: Rcpp
SystemRequirements: C++11
RoxygenNote: 6.1.1
Suggests: testthat
Depends: R (>= 2.10)
Date: 2019-04-29
NeedsCompilation: yes
Packaged: 2019-05-02 09:36:05 UTC; diedi
Repository: CRAN
Date/Publication: 2019-05-03 12:00:03 UTC

More information about IOHanalyzer at CRAN
Permanent link

New package Monte.Carlo.se with initial version 0.1.0
Package: Monte.Carlo.se
Type: Package
Title: Monte Carlo Standard Errors
Version: 0.1.0
Author: Dennis Boos, Kevin Matthew, Jason Osborne
Maintainer: Dennis Boos <boos@ncsu.edu>
Description: Computes Monte Carlo standard errors for summaries of Monte Carlo output. Summaries and their standard errors are based on columns of Monte Carlo simulation output. Dennis D. Boos and Jason A. Osborne (2015) <doi:10.1111/insr.12087>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-01 21:18:26 UTC; boos
Repository: CRAN
Date/Publication: 2019-05-03 10:30:04 UTC

More information about Monte.Carlo.se at CRAN
Permanent link

New package gridGeometry with initial version 0.2-0
Package: gridGeometry
Type: Package
Title: Polygon Geometry in 'grid'
Version: 0.2-0
Author: Paul Murrell
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>
Description: Functions for performing polygon geometry with 'grid' grobs. This allows complex shapes to be defined by combining simpler shapes.
URL: https://github.com/pmur002/gridgeometry, https://stattech.wordpress.fos.auckland.ac.nz/2019/03/04/2019-01-a-geometry-engine-interface-for-grid/
Depends: R (>= 3.6.0), grid
Imports: grDevices, polyclip (>= 1.10-0)
Suggests: graphics, lattice
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2019-05-01 07:49:05 UTC; pmur002
Repository: CRAN
Date/Publication: 2019-05-03 10:20:03 UTC

More information about gridGeometry at CRAN
Permanent link

New package Riex with initial version 1.0.0
Package: Riex
Type: Package
Title: IEX Stocks and Market Data
Version: 1.0.0
Authors@R: person("Myriam", "Ibrahim", email = "ibrahimmyriam7@gmail.com", role = c("aut", "cre"))
Author: Myriam Ibrahim [aut, cre]
Maintainer: Myriam Ibrahim <ibrahimmyriam7@gmail.com>
Description: Retrieves efficiently and reliably Investors Exchange ('IEX') stock and market data using 'IEX Cloud API'. The platform is offered by Investors Exchange Group (IEX Group). Main goal is to leverage 'R' capabilities including existing packages to effectively provide financial and statistical analysis as well as visualization in support of fact-based decisions. In addition, continuously improve and enhance 'Riex' by applying best practices and being in tune with users' feedback and requirements. Please, make sure to review and acknowledge Investors Exchange Group (IEX Group) terms and conditions before using 'Riex' (<https://iexcloud.io/terms/>).
Depends: R (>= 3.5.0), xts, zoo, TTR, tidyr, tibble
License: GPL-2
LazyData: true
Collate: 'IEX_Market_Data.R'
Encoding: UTF-8
RoxygenNote: 6.1.1
Imports: Rcpp (>= 1.0.0), dplyr, ggplot2 (>= 3.1.0), httr (>= 1.4.0), purrr (>= 0.2.5), rjson (>= 0.2.20), stringr (>= 1.3.1), tidyverse (>= 1.2.1), urltools (>= 1.7.1), quantmod (>= 0.4-14)
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-01 15:45:16 UTC; Myriam
Repository: CRAN
Date/Publication: 2019-05-03 09:50:03 UTC

More information about Riex at CRAN
Permanent link

New package PlotContour with initial version 0.1.0
Package: PlotContour
Type: Package
Title: Plot Contour Line
Version: 0.1.0
Author: Olivia Cheronet
Maintainer: Olivia Cheronet <cheronetolivia@gmail.com>
Depends: KernSmooth (>= 2.23-15), MASS (>= 7.3-33)
Description: This function plots a contour line with a user-defined probability and tightness of fit.
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2019-05-01 15:37:02 UTC; Olivia
Repository: CRAN
Date/Publication: 2019-05-03 09:50:11 UTC

More information about PlotContour at CRAN
Permanent link

Thu, 02 May 2019

New package RelimpPCR with initial version 0.2.4
Package: RelimpPCR
Type: Package
Title: Relative Importance PCA Regression
Version: 0.2.4
Date: 2019-05-01
Author: Michael Hernandez <hernandez@uchicago.edu>, Yuri Balasanov
Maintainer: Michael Hernandez <hernandez@uchicago.edu>
Description: Performs Principal Components Analysis (also known as PCA) dimensionality reduction in the context of a linear regression. In most cases, PCA dimensionality reduction is performed independent of the response variable for a regression. This captures the majority of the variance of the model's predictors, but may not actually be the optimal dimensionality reduction solution for a regression against the response variable. An alternative method, optimized for a regression against the response variable, is to use both PCA and a relative importance measure. This package applies PCA to a given data frame of predictors, and then calculates the relative importance of each PCA factor against the response variable. It outputs ordered factors that are optimized for model fit. By performing dimensionality reduction with this method, an individual can achieve a the same r-squared value as performing just PCA, but with fewer PCA factors. References: Yuri Balasanov (2017) <https://ilykei.com>.
Depends: R (>= 3.3.0)
Suggests: parallel, testthat
License: MIT + file LICENSE
URL: https://github.com/mhernan88/RelimpPCR
BugReports: https://github.com/mhernan88/RelimpPCR/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: relaimpo, Rmisc, caret, ggplot2, reshape2
NeedsCompilation: no
Packaged: 2019-05-02 03:37:50 UTC; hernandez michael
Repository: CRAN
Date/Publication: 2019-05-02 18:20:10 UTC

More information about RelimpPCR at CRAN
Permanent link

New package WCM with initial version 0.1.0
Package: WCM
Type: Package
Title: Water Cloud Model (WCM) for the Simulation of Leaf Area Index (LAI) and Soil Moisture (SM) in Satellite Earth Observation Data
Version: 0.1.0
Author: Ujjwal Singh <ujjwalrsmt@gmail.com> , Sumit kumar Chaudhry <sumit.mathe@gmail.com>
Maintainer: Ujjwal Singh <ujjwalrsmt@gmail.com>
Description: Retrieves the leaf area index (LAI) and soil moisture (SM) from synthetic aperture radar(SAR) for earth observation data using water cloud model (WCM) model inversion. The WCM algorithm attributed to Pervot et al. (1993)<doi:10.1016/0034-4257(93)90053-Z>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: pracma,stats,raster,rgdal
Suggests: knitr,rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-01 10:01:25 UTC; Ujjwal Singh
Repository: CRAN
Date/Publication: 2019-05-02 07:50:03 UTC

More information about WCM at CRAN
Permanent link

New package heuristicsmineR with initial version 0.2.0
Package: heuristicsmineR
Type: Package
Title: Discovery of Process Models with the Heuristics Miner
Version: 0.2.0
Authors@R: person(given = "Felix", family = "Mannhardt", role = c("aut", "cre"), email = "felix.mannhardt@sintef.no")
Description: Provides the heuristics miner algorithm for process discovery as proposed by Weijters et al. (2011) <doi:10.1109/CIDM.2011.5949453>. The algorithm builds a causal net from an event log created with the 'bupaR' package. Event logs are a set of ordered sequences of events for which 'bupaR' provides the S3 class eventlog(). The discovered causal nets can be visualised as 'htmlwidgets' and it is possible to annotate them with the occurrence frequency or processing and waiting time of process activities.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, BH
SystemRequirements: C++11
Depends: R (>= 2.10)
Imports: DiagrammeR (>= 1.0.0), magrittr, dplyr, processmapR (>= 0.3.1), petrinetR, bupaR, purrr, tidyr, rlang, scales, Rcpp, Rcpp11, ggplot2, ggthemes, data.table
Suggests: eventdataR, edeaR, svgPanZoom, DiagrammeRsvg
RoxygenNote: 6.1.1
URL: https://github.com/fmannhardt/heuristicsmineR
BugReports: https://github.com/fmannhardt/heuristicsmineR/issues
NeedsCompilation: yes
Packaged: 2019-05-01 10:12:45 UTC; felixm
Author: Felix Mannhardt [aut, cre]
Maintainer: Felix Mannhardt <felix.mannhardt@sintef.no>
Repository: CRAN
Date/Publication: 2019-05-02 08:20:04 UTC

More information about heuristicsmineR at CRAN
Permanent link

New package EGAnet with initial version 0.4
Package: EGAnet
Title: Exploratory Graph Analysis: A Framework for Estimating the Number of Dimensions in Multivariate Data Using Network Psychometrics
Version: 0.4
Date: 2019-04-30
Authors@R: c(person("Hudson", "Golino", email = "hfg9s@virginia.edu", role = c("aut", "cre")), person("Alexander", "Christensen", email = "alexpaulchristensen@gmail.com", role = "ctb"))
Maintainer: Hudson Golino <hfg9s@virginia.edu>
Description: An implementation of the Exploratory Graph Analysis (EGA) framework for dimensionality assessment. EGA is part of a new area called network psychometrics that focuses on the estimation of undirected network models in psychological datasets. EGA estimates the number of dimensions or factors using graphical lasso or Triangulated Maximally Filtered Graph (TMFG) and a weighted network community analysis. A bootstrap method for verifying the stability of the estimation is also available. The fit of the structure suggested by EGA can be verified using confirmatory factor analysis and a direct way to convert the EGA structure to a confirmatory factor model is also implemented. Documentation and examples are available. Golino, H. F., & Epskamp, S. (2017) <doi:10.1371/journal.pone.0174035>. Golino, H. F., & Demetriou, A. (2017) <doi:10.1016/j.intell.2017.02.007> Golino, H., Shi, D., Garrido, L. E., Christensen, A. P., Nieto, M. D., Sadana, R., & Thiyagarajan, J. A. (2018) <doi:10.31234/osf.io/gzcre>. Christensen, A. P. & Golino, H.F. (2019) <doi:10.31234/osf.io/9deay>.
Depends: R (>= 2.10)
License: GPL (>= 3.0)
Encoding: UTF-8
LazyData: true
Imports: qgraph (>= 1.4.1), semPlot (>= 1.0.1), bootnet (>= 0.3), igraph (>= 1.0.1), lavaan (>= 0.5-22), doParallel (>= 1.0.10), foreach (>= 1.4.3), compiler, NetworkToolbox (>= 1.1.2), plyr (>= 1.8.4), glasso (>= 1.10), dplyr (>= 0.7.8), rlang (>= 0.3.0.1), Matrix (>= 1.2), plotly (>= 4.7.1), mvtnorm (>= 1.0.8), corpcor (>= 1.6.9), ggplot2 (>= 3.1.0), ggpubr (>= 0.2), ggthemes (>= 4.0.1), tidyr (>= 0.8.2), iterators (>= 1.0.10)
Suggests: knitr, rmarkdown
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-04-30 19:07:48 UTC; hudson
Author: Hudson Golino [aut, cre], Alexander Christensen [ctb]
Repository: CRAN
Date/Publication: 2019-05-02 07:00:03 UTC

More information about EGAnet at CRAN
Permanent link

Wed, 01 May 2019

New package rangeModelMetadata with initial version 0.1.2
Package: rangeModelMetadata
Type: Package
Title: Provides Templates for Metadata Files Associated with Species Range Models
Version: 0.1.2
Author: Cory Merow, Brian Maitner, Hannah Owens, Jamie Kass, Brian Enquist, Rob Guralnick
Maintainer: Cory Merow <cory.merow@gmail.com>
Description: Range Modeling Metadata Standards (RMMS) address three challenges: they (i) are designed for convenience to encourage use, (ii) accommodate a wide variety of applications, and (iii) are extensible to allow the community of range modelers to steer it as needed. RMMS are based on a data dictionary that specifies a hierarchical structure to catalog different aspects of the range modeling process. The dictionary balances a constrained, minimalist vocabulary to improve standardization with flexibility for users to provide their own values. Associated manuscript in review.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends:
Suggests: knitr, rmarkdown, BIEN,
Imports: biomod2, dismo, dplyr, ecospat, ENMeval, googlesheets, jsonlite, MASS, raster, rgbif, rgdal, rgeos, shiny, sp, spatstat, spocc, spThin, utils
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-01 00:50:58 UTC; ctg
Repository: CRAN
Date/Publication: 2019-05-01 22:20:03 UTC

More information about rangeModelMetadata at CRAN
Permanent link

New package origami with initial version 1.0.1
Package: origami
Title: Generalized Framework for Cross-Validation
Version: 1.0.1
Authors@R: c( person("Jeremy", "Coyle", email = "jeremyrcoyle@gmail.com", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-9874-6649")), person("Nima", "Hejazi", email = "nh@nimahejazi.org", role = "aut", comment = c(ORCID = "0000-0002-7127-2789")), person("Ivana", "Malenica", email = "imalenica@berkeley.edu", role = "ctb", comment = c(ORCID = "0000-0002-7404-8088")) )
Maintainer: Jeremy Coyle <jeremyrcoyle@gmail.com>
Description: A general framework for the application of cross-validation schemes to particular functions. By allowing arbitrary lists of results, origami accommodates a range of cross-validation applications.
Depends: R (>= 3.0.0),
License: GPL-3
URL: https://tlverse.org/origami
BugReports: https://github.com/tlverse/origami/issues
Encoding: UTF-8
Imports: abind, methods, data.table, future, future.apply, listenv
Suggests: testthat, class, rmarkdown, knitr, stringr, forecast, randomForest
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-01 17:46:59 UTC; jrcoyle
Author: Jeremy Coyle [aut, cre, cph] (<https://orcid.org/0000-0002-9874-6649>), Nima Hejazi [aut] (<https://orcid.org/0000-0002-7127-2789>), Ivana Malenica [ctb] (<https://orcid.org/0000-0002-7404-8088>)
Repository: CRAN
Date/Publication: 2019-05-01 21:50:03 UTC

More information about origami at CRAN
Permanent link

New package youtubecaption with initial version 0.1.0
Package: youtubecaption
Title: Downloading YouTube Subtitle Transcription in a Tidy 'Tibble' Data_Frame
Version: 0.1.0
Authors@R: c( person(given = "JooYoung", family = "Seo", role = c("aut", "cre"), email = "jooyoung@psu.edu", comment = c(ORCID = "0000-0002-4064-6012")), person("Soyoung", "Choi", role = "aut", email = "sxc940@psu.edu", comment = c(ORCID = "0000-0002-0998-3352")))
Description: Although there exist some R packages tailored for YouTube API (e.g., 'tuber'), downloading YouTube video subtitle (i.e., caption) in a tidy form has never been a low-hanging fruit. Using 'youtube-transcript-api Python package' under the hood, this R package provides users with a convenient way of parsing and converting a desired YouTube caption into a handy 'tibble' data_frame object. Furthermore, users can easily save a desired YouTube caption data as a tidy Excel file without advanced programming background knowledge.
SystemRequirements: Anaconda (https://www.anaconda.com/download/)
License: GPL-3
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
URL: https://github.com/jooyoungseo/youtubecaption
BugReports: https://github.com/jooyoungseo/youtubecaption/issues
Imports: stringr, writexl, reticulate, purrr, magrittr, tibble, dplyr
RoxygenNote: 6.1.1.9000
Suggests: knitr, rmarkdown, covr
NeedsCompilation: no
Packaged: 2019-04-29 13:56:13 UTC; JooYoung
Author: JooYoung Seo [aut, cre] (<https://orcid.org/0000-0002-4064-6012>), Soyoung Choi [aut] (<https://orcid.org/0000-0002-0998-3352>)
Maintainer: JooYoung Seo <jooyoung@psu.edu>
Repository: CRAN
Date/Publication: 2019-05-01 09:20:04 UTC

More information about youtubecaption at CRAN
Permanent link

New package PoissonPCA with initial version 1.0.2
Package: PoissonPCA
Title: Poisson-Noise Corrected PCA
Version: 1.0.2
Authors@R: c(person("Toby", "Kenney", email = "tkenney@mathstat.dal.ca", role = c("aut", "cre")),person("Tianshu", "Huang", email = "", role = c("aut")))
Description: For a multivariate dataset with independent Poisson measurement error, calculates principal components of transformed latent Poisson means. T. Kenney, T. Huang, H. Gu (2019) <arXiv:1904.11745>.
Depends: R (>= 3.2.3)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports:
NeedsCompilation: yes
Packaged: 2019-04-30 16:55:52 UTC; tjk23
Author: Toby Kenney [aut, cre], Tianshu Huang [aut]
Maintainer: Toby Kenney <tkenney@mathstat.dal.ca>
Repository: CRAN
Date/Publication: 2019-05-01 09:00:03 UTC

More information about PoissonPCA at CRAN
Permanent link

New package wedge with initial version 1.0-1
Package: wedge
Type: Package
Title: The Exterior Calculus
Version: 1.0-1
Depends: spray (>= 1.0-6)
Suggests: knitr, Deriv, testthat
VignetteBuilder: knitr
Imports: permutations (>= 1.0-4), partitions, magrittr
Authors@R: person( given=c("Robin", "K. S."), family="Hankin", role = c("aut","cre"), email="hankin.robin@gmail.com", comment = c(ORCID = "0000-0001-5982-0415"))
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>
Description: Provides functionality for working with differentials, k-forms, wedge products, Stokes's theorem, and related concepts from the exterior calculus. The canonical reference would be: M. Spivak (1965, ISBN:0-8053-9021-9). "Calculus on Manifolds", Benjamin Cummings.
License: GPL-2
URL: https://github.com/RobinHankin/wedge.git
BugReports: https://github.com/RobinHankin/wedge/issues
NeedsCompilation: no
Packaged: 2019-04-28 21:47:57 UTC; rhankin
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Repository: CRAN
Date/Publication: 2019-05-01 06:40:03 UTC

More information about wedge at CRAN
Permanent link

New package VIRF with initial version 0.1.0
Package: VIRF
Type: Package
Title: Computation of Volatility Impulse Response Function of Multivariate Time Series
Version: 0.1.0
Author: Dr. Ranjit Kumar Paul and Mr. Ankit Tanwar
Maintainer: Dr. Ranjit Kumar Paul <ranjitstat@gmail.com>
Description: Computation of volatility impulse response function for multivariate time series model using algorithm by Jin, Lin and Tamvakis (2012) <doi.org/10.1016/j.eneco.2012.03.003>.
License: GPL
Imports: stats, rmgarch, mgarchBEKK, gnm, expm, BigVAR, ks, matrixcalc, matlib
LazyData: TRUE
NeedsCompilation: no
Packaged: 2019-04-30 05:12:13 UTC; ranjitstat
Repository: CRAN
Date/Publication: 2019-05-01 06:50:03 UTC

More information about VIRF at CRAN
Permanent link

New package ANOVAShiny with initial version 0.1.0
Package: ANOVAShiny
Type: Package
Title: Interactive Document for Working with Analysis of Variance
Version: 0.1.0
Author: Kartikeya Bolar
Maintainer: Kartikeya Bolar <kartikeya.bolar@tapmi.edu.in>
Description: An interactive document on the topic of one-way and two-way analysis of variance using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://kartikeyab.shinyapps.io/ANOVAShiny/>.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.0.3)
Imports: shiny,rmarkdown,dplyr,datasets,rhandsontable,DescTools,HH
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-04-30 17:46:29 UTC; KARTIKEYA
Repository: CRAN
Date/Publication: 2019-05-01 07:00:03 UTC

More information about ANOVAShiny at CRAN
Permanent link


Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.