Sun, 28 Apr 2024

Package sorcering updated to version 1.0.1 with previous version 1.0.0.1 dated 2023-12-18

Title: Soil Organic Carbon and CN Ratio Driven Nitrogen Modelling Framework
Description: Can be used to model the fate of soil organic carbon and soil organic nitrogen and to calculate N mineralisation rates. Provides a framework that numerically solves differential equations of soil organic carbon models based on first-order kinetics and extends these models to include the nitrogen component. The name 'sorcering' is an acronym for 'Soil ORganic Carbon & CN Ratio drIven Nitrogen modellinG framework'.
Author: Marc Scherstjanoi [aut, cre], Rene Dechow [aut]
Maintainer: Marc Scherstjanoi <marc.scherstjanoi@thuenen.de>

Diff between sorcering versions 1.0.0.1 dated 2023-12-18 and 1.0.1 dated 2024-04-28

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Package pathfindR updated to version 2.4.0 with previous version 2.3.1 dated 2024-01-19

Title: Enrichment Analysis Utilizing Active Subnetworks
Description: Enrichment analysis enables researchers to uncover mechanisms underlying a phenotype. However, conventional methods for enrichment analysis do not take into account protein-protein interaction information, resulting in incomplete conclusions. pathfindR is a tool for enrichment analysis utilizing active subnetworks. The main function identifies active subnetworks in a protein-protein interaction network using a user-provided list of genes and associated p values. It then performs enrichment analyses on the identified subnetworks, identifying enriched terms (i.e. pathways or, more broadly, gene sets) that possibly underlie the phenotype of interest. pathfindR also offers functionalities to cluster the enriched terms and identify representative terms in each cluster, to score the enriched terms per sample and to visualize analysis results. The enrichment, clustering and other methods implemented in pathfindR are described in detail in Ulgen E, Ozisik O, Sezerman OU. 2019. pathfindR: An R [...truncated...]
Author: Ege Ulgen [cre, cph] , Ozan Ozisik [aut]
Maintainer: Ege Ulgen <egeulgen@gmail.com>

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Package learnrbook updated to version 2.0.1 with previous version 1.0.2-1 dated 2023-02-15

Title: Datasets and Code Examples from P. J. Aphalo's "Learn R" Book
Description: Data, scripts and code from chunks used as examples in the book "Learn R: As a Language" 1ed and 2ed by Pedro J. Aphalo. ISBN 9780367182533 (pbk 1ed); ISBN 9780367182557 (hbk 1ed); ISBN 9780429060342 (ebk 1ed).
Author: Pedro J. Aphalo [aut, cre]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

Diff between learnrbook versions 1.0.2-1 dated 2023-02-15 and 2.0.1 dated 2024-04-28

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Package archive updated to version 1.1.8 with previous version 1.1.7 dated 2023-12-11

Title: Multi-Format Archive and Compression Support
Description: Bindings to 'libarchive' <http://www.libarchive.org> the Multi-format archive and compression library. Offers R connections and direct extraction for many archive formats including 'tar', 'ZIP', '7-zip', 'RAR', 'CAB' and compression formats including 'gzip', 'bzip2', 'compress', 'lzma' and 'xz'.
Author: Jim Hester [aut] , Gabor Csardi [aut, cre], Ondrej Holy [cph] , RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between archive versions 1.1.7 dated 2023-12-11 and 1.1.8 dated 2024-04-28

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New package sisti with initial version 0.0.1
Package: sisti
Title: Real-Time PCR Data Sets by Sisti et al. (2010)
Version: 0.0.1
Description: This data package contains four datasets of quantitative PCR (qPCR) amplification curves that were used as supplementary data in the research article by Sisti et al. (2010), <doi:10.1186/1471-2105-11-186>. The primary dataset comprises a ten-fold dilution series spanning copy numbers from 3.14 × 10^7 to 3.14 × 10^2, with twelve replicates per concentration. These samples are based on a pGEM-T Promega plasmid containing a 104 bp fragment of the mitochondrial gene NADH dehydrogenase 1 (MT-ND1), amplified using the ND1/ND2 primer pair. The remaining three datasets contain qPCR results in the presence of specific PCR inhibitors: tannic acid, immunoglobulin G (IgG), and quercetin, respectively, to assess their effects on the amplification process. These datasets are useful for researchers interested in PCR kinetics. The original raw data file is available as Additional File 1: <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-11-186/MediaObjects/12859_2009_3643_MOE [...truncated...]
License: CC BY 4.0
Encoding: UTF-8
Imports: tibble
Depends: R (>= 2.10)
LazyData: true
URL: https://rmagno.eu/sisti/, https://github.com/ramiromagno/sisti
BugReports: https://github.com/ramiromagno/sisti/issues
NeedsCompilation: no
Packaged: 2024-04-28 02:24:37 UTC; rmagno
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>
Repository: CRAN
Date/Publication: 2024-04-28 11:00:02 UTC

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New package cryptorng with initial version 0.1.2
Package: cryptorng
Title: Access System Cryptographic Pseudorandom Number Generators
Version: 0.1.2
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: Generate random bytes from the Cryptographically Secure Pseudorandom Number Generator (CSPRNG) provided by the underlying operating system. These system CSPRNGs are seeded internally by the OS with entropy it gathers and use random number generation algorithms which are considered cryptographically secure. The following system functions are used: arc4random_buf() on macOS and BSD; BCryptgenRandom() on Windows; Sys_getrandom() on Linux.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
URL: https://github.com/coolbutuseless/cryptorng
BugReports: https://github.com/coolbutuseless/cryptorng/issues
NeedsCompilation: yes
Packaged: 2024-04-27 20:58:24 UTC; mike
Author: Mike Cheng [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-04-28 10:50:03 UTC

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New package accessr with initial version 1.0.1
Package: accessr
Title: Command Line Tools to Produce Accessible Documents using 'R Markdown'
Version: 1.0.1
Date: 2024-04-28
Description: Provides functions to produce accessible 'HTML' slides, 'HTML', 'Word' and 'PDF' documents from input 'R markdown' files. Accessible 'PDF' files are produced only on a 'Windows' Operating System. One aspect of accessibility is providing a headings structure that is recognised by a screen reader, providing a navigational tool for a blind or partially-sighted person. A key aim is to produce documents of different formats easily from each of a collection of 'R markdown' source files. Input 'R markdown' files are rendered using the render() function from the 'rmarkdown' package <https://cran.r-project.org/package=rmarkdown>. A 'zip' file containing multiple output files can be produced from one function call. A user-supplied template 'Word' document can be used to determine the formatting of an output 'Word' document. Accessible 'PDF' files are produced from 'Word' documents using 'OfficeToPDF' <https://github.com/cognidox/OfficeToPDF>. A convenience function, install_otp() is [...truncated...]
Depends: R (>= 3.3.0)
License: GPL (>= 3)
Encoding: UTF-8
Imports: rmarkdown
Suggests: dplyr, knitr, flextable, htmltools, huxtable, jpeg, officer, officedown, pagedown, png, tools, utils, xfun, zip, testthat (>= 3.0.0)
SystemRequirements: OfficeToPDF - https://github.com/cognidox/OfficeToPDF, pandoc (>= 1.14) - https://pandoc.org
URL: https://paulnorthrop.github.io/accessr/, https://github.com/paulnorthrop/accessr
BugReports: https://github.com/paulnorthrop/accessr/issues
NeedsCompilation: no
Packaged: 2024-04-28 08:22:47 UTC; Paul
Author: Paul J. Northrop [aut, cre, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2024-04-28 11:00:06 UTC

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New package nFunNN with initial version 1.0
Package: nFunNN
Title: Nonlinear Functional Principal Component Analysis using Neural Networks
Version: 1.0
Description: Implementation for 'nFunNN' method, which is a novel nonlinear functional principal component analysis method using neural networks. The crucial function of this package is nFunNNmodel().
License: GPL (>= 3)
Encoding: UTF-8
Imports: fda, splines, stats, torch
NeedsCompilation: no
Packaged: 2024-04-26 01:50:25 UTC; 11013
Author: Rou Zhong [aut, cre], Jingxiao Zhang [aut]
Maintainer: Rou Zhong <zhong_rou@163.com>
Repository: CRAN
Date/Publication: 2024-04-28 09:40:02 UTC

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New package FnR with initial version 1.0.0
Package: FnR
Title: Inbreeding and Numerator Relationship Coefficients
Version: 1.0.0
Description: Compute inbreeding coefficients using the method of Meuwissen and Luo (1992) <doi:10.1186/1297-9686-24-4-305>, and numerator relationship coefficients between individuals using the method of Van Vleck (2007) <https://pubmed.ncbi.nlm.nih.gov/18050089/>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/nilforooshan/FnR
BugReports: https://github.com/nilforooshan/FnR/issues
NeedsCompilation: no
Packaged: 2024-04-26 08:23:18 UTC; monil0
Author: Mohammad Ali Nilforooshan [aut, cre]
Maintainer: Mohammad Ali Nilforooshan <m.a.nilforooshan@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-28 09:40:05 UTC

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New package braids with initial version 1.0.0
Package: braids
Title: The Braid Groups
Version: 1.0.0
Description: Deals with the braid groups. Includes creation of some specific braids, group operations, free reduction, and Bronfman polynomials. Braid theory has applications in fluid mechanics and quantum physics. The code is adapted from the 'Haskell' library 'combinat', and is based on Birman and Brendle (2005) <doi:10.48550/arXiv.math/0409205>.
License: GPL-3
URL: https://github.com/stla/braids
BugReports: https://github.com/stla/braids/issues
Imports: maybe
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-26 16:57:22 UTC; SDL96354
Author: Stephane Laurent [aut, cre], Balazs Komuves [cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2024-04-28 10:00:03 UTC

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Package diemr updated to version 1.2.3 with previous version 1.2.2 dated 2023-07-11

Title: Diagnostic Index Expectation Maximisation in R
Description: Likelihood-based genome polarisation finds which alleles of genomic markers belong to which side of the barrier. Co-estimates which individuals belong to either side of the barrier and barrier strength. Uses expectation maximisation in likelihood framework. The method is described in Baird et al. (2023) <doi:10.1111/2041-210X.14010>.
Author: Natalia Martinkova [aut, cre] , Stuart Baird [aut]
Maintainer: Natalia Martinkova <martinkova@ivb.cz>

Diff between diemr versions 1.2.2 dated 2023-07-11 and 1.2.3 dated 2024-04-28

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Package BED updated to version 1.5.1 with previous version 1.5.0 dated 2024-01-18

Title: Biological Entity Dictionary (BED)
Description: An interface for the 'Neo4j' database providing mapping between different identifiers of biological entities. This Biological Entity Dictionary (BED) has been developed to address three main challenges. The first one is related to the completeness of identifier mappings. Indeed, direct mapping information provided by the different systems are not always complete and can be enriched by mappings provided by other resources. More interestingly, direct mappings not identified by any of these resources can be indirectly inferred by using mappings to a third reference. For example, many human Ensembl gene ID are not directly mapped to any Entrez gene ID but such mappings can be inferred using respective mappings to HGNC ID. The second challenge is related to the mapping of deprecated identifiers. Indeed, entity identifiers can change from one resource release to another. The identifier history is provided by some resources, such as Ensembl or the NCBI, but it is generally not used by mapping [...truncated...]
Author: Patrice Godard [aut, cre, cph]
Maintainer: Patrice Godard <patrice.godard@gmail.com>

Diff between BED versions 1.5.0 dated 2024-01-18 and 1.5.1 dated 2024-04-28

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Package hmmm (with last version 1.0-4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2018-03-14 1.0-4
2014-08-14 1.0-3
2014-01-08 1.0-2
2013-02-15 1.0-1
2012-11-17 1.0.0

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Package calendar updated to version 0.1.0 with previous version 0.0.1 dated 2019-02-11

Title: Create, Read, Write, and Work with 'iCalander' Files, Calendars and Scheduling Data
Description: Provides function to create, read, write, and work with 'iCalander' files (which typically have '.ics' or '.ical' extensions), and the scheduling data, calendars and timelines of people, organisations and other entities that they represent. 'iCalendar' is an open standard for exchanging calendar and scheduling information between users and computers, described at <https://icalendar.org/>.
Author: Robin Lovelace [aut, cre] , Layik Hama [aut] , Ollie Lloyd [ctb]
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package ForestTools updated to version 1.0.2 with previous version 1.0.1 dated 2023-10-02

Title: Tools for Analyzing Remote Sensing Forest Data
Description: Tools for analyzing remote sensing forest data, including functions for detecting treetops from canopy models, outlining tree crowns, and calculating textural metrics.
Author: Andrew Plowright [aut, cre], Jean-Romain Roussel [ctb]
Maintainer: Andrew Plowright <andrew.plowright@alumni.ubc.ca>

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Sat, 27 Apr 2024

Package smplot2 updated to version 0.2.1 with previous version 0.2.0 dated 2024-04-14

Title: Creating and Annotating a Composite Plot in 'ggplot2'
Description: Provides functions for creating and annotating a composite plot in 'ggplot2'. Offers background themes and shortcut plotting functions that produce figures that are appropriate for the format of scientific journals. Some methods are described in Min and Zhou (2021) <doi:10.3389/fgene.2021.802894>.
Author: Seung Hyun Min [aut, cre]
Maintainer: Seung Hyun (Sam) Min <seung.min@mail.mcgill.ca>

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Package bWGR updated to version 2.2.8 with previous version 2.2.7 dated 2024-04-04

Title: Bayesian Whole-Genome Regression
Description: Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, single step (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>), with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).
Author: Alencar Xavier [aut, cre] , William Muir [aut], David Habier [aut], Kyle Kocak [aut], Shizhong Xu [aut], Katy Rainey [aut]
Maintainer: Alencar Xavier <alenxav@gmail.com>

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Package shinyalert updated to version 3.1.0 with previous version 3.0.0 dated 2021-12-20

Title: Easily Create Pretty Popup Messages (Modals) in 'Shiny'
Description: Easily create pretty popup messages (modals) in 'Shiny'. A modal can contain text, images, OK/Cancel buttons, an input to get a response from the user, and many more customizable options.
Author: Dean Attali [aut, cre] , Tristan Edwards [aut] , Zhengjia Wang [ctb]
Maintainer: Dean Attali <daattali@gmail.com>

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Package healthyAddress updated to version 0.4.1 with previous version 0.2.0 dated 2024-02-07

Title: Convert Addresses to Standard Inputs
Description: Efficient tools for parsing and standardizing Australian addresses from textual data. It utilizes optimized algorithms to accurately identify and extract components of addresses, such as street names, types, and postcodes, especially for large batched data in contexts where sending addresses to internet services may be slow or inappropriate. The core functionality is built on fast string processing techniques to handle variations in address formats and abbreviations commonly found in Australian address data. Designed for data scientists, urban planners, and logistics analysts, the package facilitates the cleaning and normalization of address information, supporting better data integration and analysis in urban studies, geography, and related fields.
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

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Package teal.modules.clinical updated to version 0.9.1 with previous version 0.9.0 dated 2024-02-23

Title: 'teal' Modules for Standard Clinical Outputs
Description: Provides user-friendly tools for creating and customizing clinical trial reports. By leveraging the 'teal' framework, this package provides 'teal' modules to easily create an interactive panel that allows for seamless adjustments to data presentation, thereby streamlining the creation of detailed and accurate reports.
Author: Joe Zhu [aut, cre], Jana Stoilova [aut], Davide Garolini [aut], Emily de la Rua [aut], Abinaya Yogasekaram [aut], Mahmoud Hallal [aut], Dawid Kaledkowski [aut], Rosemary Li [aut], Heng Wang [aut], Pawel Rucki [aut], Nikolas Burkoff [aut], Konrad Paga [...truncated...]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package pathfindR.data updated to version 2.1.0 with previous version 2.0.0 dated 2023-04-27

Title: Data Package for 'pathfindR'
Description: This is a data-only package, containing data needed to run the CRAN package 'pathfindR', a package for enrichment analysis utilizing active subnetworks. This package contains protein-protein interaction network data, data related to gene sets and example input/output data.
Author: Ege Ulgen [cre, cph] , Ozan Ozisik [aut]
Maintainer: Ege Ulgen <egeulgen@gmail.com>

Diff between pathfindR.data versions 2.0.0 dated 2023-04-27 and 2.1.0 dated 2024-04-27

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More information about pathfindR.data at CRAN
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Package lda updated to version 1.5.2 with previous version 1.4.2 dated 2015-11-22

Title: Collapsed Gibbs Sampling Methods for Topic Models
Description: Implements latent Dirichlet allocation (LDA) and related models. This includes (but is not limited to) sLDA, corrLDA, and the mixed-membership stochastic blockmodel. Inference for all of these models is implemented via a fast collapsed Gibbs sampler written in C. Utility functions for reading/writing data typically used in topic models, as well as tools for examining posterior distributions are also included.
Author: Jonathan Chang
Maintainer: Santiago Olivella <olivella@unc.edu>

Diff between lda versions 1.4.2 dated 2015-11-22 and 1.5.2 dated 2024-04-27

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More information about lda at CRAN
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Package bayesMeanScale updated to version 0.1.1 with previous version 0.1.0 dated 2024-04-23

Title: Bayesian Post-Estimation on the Mean Scale
Description: Computes Bayesian posterior distributions of predictions, marginal effects, and differences of marginal effects for various generalized linear models. Importantly, the posteriors are on the mean (response) scale, allowing for more natural interpretation than summaries on the link scale. Also, predictions and marginal effects of the count probabilities for Poisson and negative binomial models can be computed.
Author: David M. Dalenberg [aut, cre]
Maintainer: David M. Dalenberg <dalenbe2@gmail.com>

Diff between bayesMeanScale versions 0.1.0 dated 2024-04-23 and 0.1.1 dated 2024-04-27

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More information about bayesMeanScale at CRAN
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New package vvdoctor with initial version 0.0.1
Package: vvdoctor
Title: Statistical Test App with R 'shiny'
Version: 0.0.1
Description: Provides a user-friendly R 'shiny' app for performing various statistical tests on datasets. It allows users to upload data in numerous formats and perform statistical analyses. The app dynamically adapts its options based on the selected columns and supports both single and multiple column comparisons. The app's user interface is designed to streamline the process of selecting datasets, columns, and test options, making it easy for users to explore and interpret their data. The underlying functions for statistical tests are well-organized and can be used independently within other R scripts.
URL: https://github.com/vusaverse/vvdoctor, https://vusaverse.github.io/vvdoctor/
License: MIT + file LICENSE
Encoding: UTF-8
Imports: datamods, DescTools, DT, exact2x2, irr, magrittr, rintrojs, rstatix, shiny, shinyjs, shinyWidgets
NeedsCompilation: no
Packaged: 2024-04-25 18:54:27 UTC; tin900
Author: Tomer Iwan [aut, cre], Corneel Den Hartogh [ctb] , Jesus Blanco [ctb], VU Analytics [cph]
Maintainer: Tomer Iwan <t.iwan@vu.nl>
Repository: CRAN
Date/Publication: 2024-04-27 18:10:02 UTC

More information about vvdoctor at CRAN
Permanent link

New package medparser with initial version 0.1.0
Package: medparser
Title: MedPC Text Parser
Version: 0.1.0
Author: Olivia Ortelli, Tony Colarusso
Maintainer: Olivia Ortelli <oortelli@wakehealth.edu>
Description: Parses information from text files with specific utility aimed at pulling information from Med Associate's (MPC) files. These functions allow for further analysis of MPC files.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-25 20:51:14 UTC; oorte
Repository: CRAN
Date/Publication: 2024-04-27 18:20:03 UTC

More information about medparser at CRAN
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New package healthdb with initial version 0.1.0
Package: healthdb
Title: Working with Healthcare Database
Version: 0.1.0
Description: A system for identifying diseases or events from healthcare databases and preparing data for epidemiological studies. It includes capabilities not supported by 'SQL', such as matching strings by 'stringr' style regular expressions, and can compute comorbidity scores (Quan et al. (2005) <doi:10.1097/01.mlr.0000182534.19832.83>) directly on a database server. The implementation is based on 'dbplyr' with full 'tidyverse' compatibility.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, dbplyr, dplyr (>= 1.1.0), glue, lubridate, magrittr, purrr, rlang, stringr, tidyr
URL: https://github.com/KevinHzq/healthdb, https://kevinhzq.github.io/healthdb/
BugReports: https://github.com/KevinHzq/healthdb/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr, RSQLite
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-25 18:50:49 UTC; kevin.hu
Author: Kevin Hu [aut, cre, cph]
Maintainer: Kevin Hu <kevin.hu@bccdc.ca>
Repository: CRAN
Date/Publication: 2024-04-27 18:10:08 UTC

More information about healthdb at CRAN
Permanent link

Package fsemipar updated to version 1.1.0 with previous version 1.0.1 dated 2024-02-21

Title: Estimation, Variable Selection and Prediction for Functional Semiparametric Models
Description: Routines for the estimation or simultaneous estimation and variable selection in several functional semiparametric models with scalar responses are provided. These models include the functional single-index model, the semi-functional partial linear model, and the semi-functional partial linear single-index model. Additionally, the package offers algorithms for handling scalar covariates with linear effects that originate from the discretization of a curve. This functionality is applicable in the context of the linear model, the multi-functional partial linear model, and the multi-functional partial linear single-index model.
Author: German Aneiros [aut], Silvia Novo [aut, cre]
Maintainer: Silvia Novo <snovo@est-econ.uc3m.es>

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New package DBTC with initial version 0.1.0
Package: DBTC
Title: Dada-BLAST-Taxon Assign-Condense Metabarcode Analysis
Version: 0.1.0
Maintainer: Robert G Young <rgyoung6@gmail.com>
Description: First using 'dada2' R tools to analyse metabarcode data, the 'DBTC' package then uses the BLAST algorithm to search unknown sequences against local databases, and then takes reduced matched results and provides best taxonomic assignments.
License: GPL-2 | GPL-3
Encoding: UTF-8
URL: <https://github.com/rgyoung6/DBTC>
Depends:
Imports: dada2, ggplot2, parallel, pbapply, plyr, ShortRead, stats, taxonomizr, utils
Language: en-GB
NeedsCompilation: no
Packaged: 2024-04-25 22:38:18 UTC; robgy
Author: Robert G Young [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-04-27 18:20:07 UTC

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New package chattr with initial version 0.1.0
Package: chattr
Title: Interact with Large Language Models in 'RStudio'
Version: 0.1.0
Description: Enables user interactivity with large-language models ('LLM') inside the 'RStudio' integrated development environment (IDE). The user can interact with the model using the 'shiny' app included in this package, or directly in the 'R' console. It comes with back-ends for 'OpenAI', 'GitHub' 'Copilot', and 'LlamaGPT'.
URL: https://github.com/mlverse/chattr, https://mlverse.github.io/chattr/
BugReports: https://github.com/mlverse/chattr/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rstudioapi, lifecycle, processx, jsonlite, config, httr2 (>= 1.0.1), purrr, rlang, bslib, shiny, clipr, callr, yaml, glue, cli, fs
Depends: R (>= 2.10)
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0), shinytest2, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-25 19:01:27 UTC; edgar
Author: Edgar Ruiz [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Edgar Ruiz <edgar@posit.co>
Repository: CRAN
Date/Publication: 2024-04-27 18:10:12 UTC

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New package BFI with initial version 1.1.4
Package: BFI
Title: Bayesian Federated Inference
Version: 1.1.4
Date/Publication: 2024-04-27 18:20:11 UTC
Author: Hassan Pazira [aut, cre] , Emanuele Massa [aut] , Marianne A. Jonker [aut]
Maintainer: Hassan Pazira <hassan.pazira@radboudumc.nl>
Description: The Bayesian Federated Inference ('BFI') method combines inference results obtained from local data sets in the separate centers. In this version of the package, the 'BFI' methodology is programmed for linear and logistic regression models; see Jonker, Pazira and Coolen (2024) <doi:10.1002/sim.10072>.
License: MIT + file LICENSE
URL: https://hassanpazira.github.io/BFI/
Encoding: UTF-8
Suggests: knitr, rmarkdown, roxygen2, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
Imports: devtools, stats
Language: en-US
NeedsCompilation: no
Packaged: 2024-04-25 20:14:17 UTC; hassanpazira
Repository: CRAN

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New package bulkQC with initial version 1.1
Package: bulkQC
Title: Quality Control and Outlier Identification in Bulk for Multicenter Trials
Version: 1.1
Date: 2024-04-25
Author: Joseph Rigdon <jrigdon@wakehealth.edu>
Maintainer: Joseph Rigdon <jrigdon@wakehealth.edu>
Description: Multicenter randomized trials involve the collection and analysis of data from numerous study participants across multiple sites. Outliers may be present. To identify outliers, this package examines data at the individual level (univariate and multivariate) and site-level (with and without covariate adjustment). Methods are outlined in further detail in Rigdon et al (to appear).
License: GPL-3
Depends: isotree, stddiff
NeedsCompilation: no
Packaged: 2024-04-25 12:32:20 UTC; jrigdon
Repository: CRAN
Date/Publication: 2024-04-27 17:50:02 UTC

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Package iml updated to version 0.11.3 with previous version 0.11.2 dated 2024-03-29

Title: Interpretable Machine Learning
Description: Interpretability methods to analyze the behavior and predictions of any machine learning model. Implemented methods are: Feature importance described by Fisher et al. (2018) <doi:10.48550/arxiv.1801.01489>, accumulated local effects plots described by Apley (2018) <doi:10.48550/arxiv.1612.08468>, partial dependence plots described by Friedman (2001) <www.jstor.org/stable/2699986>, individual conditional expectation ('ice') plots described by Goldstein et al. (2013) <doi:10.1080/10618600.2014.907095>, local models (variant of 'lime') described by Ribeiro et. al (2016) <doi:10.48550/arXiv.1602.04938>, the Shapley Value described by Strumbelj et. al (2014) <doi:10.1007/s10115-013-0679-x>, feature interactions described by Friedman et. al <doi:10.1214/07-AOAS148> and tree surrogate models.
Author: Giuseppe Casalicchio [aut, cre], Christoph Molnar [aut], Patrick Schratz [aut]
Maintainer: Giuseppe Casalicchio <giuseppe.casalicchio@lmu.de>

Diff between iml versions 0.11.2 dated 2024-03-29 and 0.11.3 dated 2024-04-27

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Package qlcal updated to version 0.0.11 with previous version 0.0.10 dated 2024-01-24

Title: R Bindings to the Calendaring Functionality of 'QuantLib'
Description: 'QuantLib' bindings are provided for R using 'Rcpp' via an evolved version of the initial header-only 'Quantuccia' project offering an subset of 'QuantLib' (now maintained separately just for the calendaring subset). See the included file 'AUTHORS' for a full list of contributors to 'QuantLib' (and hence also 'Quantuccia').
Author: Dirk Eddelbuettel; the authors and contributors of QuantLib
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between qlcal versions 0.0.10 dated 2024-01-24 and 0.0.11 dated 2024-04-27

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Package tensorTS updated to version 1.0.2 with previous version 1.0.1 dated 2023-05-07

Title: Factor and Autoregressive Models for Tensor Time Series
Description: Factor and autoregressive models for matrix and tensor valued time series. We provide functions for estimation, simulation and prediction. The models are discussed in Li et al (2021) <doi:10.48550/arXiv.2110.00928>, Chen et al (2020) <DOI:10.1080/01621459.2021.1912757>, Chen et al (2020) <DOI:10.1016/j.jeconom.2020.07.015>, and Xiao et al (2020) <doi:10.48550/arXiv.2006.02611>.
Author: Zebang Li [aut, cre], Ruofan Yu [aut], Rong Chen [aut], Yuefeng Han [aut], Han Xiao [aut], Dan Yang [aut]
Maintainer: Zebang Li <zl326@stat.rutgers.edu>

Diff between tensorTS versions 1.0.1 dated 2023-05-07 and 1.0.2 dated 2024-04-27

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Package epiR updated to version 2.0.74 with previous version 2.0.73 dated 2024-04-09

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] , Evan Sergeant [aut], Cord Heuer [ctb], Telmo Nunes [ctb], Cord Heuer [ctb], Jonathon Marshall [ctb], Javier Sanchez [ctb], Ron Thornton [ctb], Jeno Reiczigel [ctb], Jim Robison-Cox [ctb], Paola Sebastiani [ctb], Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

Diff between epiR versions 2.0.73 dated 2024-04-09 and 2.0.74 dated 2024-04-27

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Package flexclust updated to version 1.4-2 with previous version 1.4-1 dated 2022-04-08

Title: Flexible Cluster Algorithms
Description: The main function kcca implements a general framework for k-centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further cluster methods include hard competitive learning, neural gas, and QT clustering. There are numerous visualization methods for cluster results (neighborhood graphs, convex cluster hulls, barcharts of centroids, ...), and bootstrap methods for the analysis of cluster stability.
Author: Friedrich Leisch [aut] , Evgenia Dimitriadou [ctb], Bettina Gruen [ctb, cre]
Maintainer: Bettina Gruen <Bettina.Gruen@R-project.org>

Diff between flexclust versions 1.4-1 dated 2022-04-08 and 1.4-2 dated 2024-04-27

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Fri, 26 Apr 2024

Package audubon updated to version 0.5.2 with previous version 0.5.1 dated 2023-05-02

Title: Japanese Text Processing Tools
Description: A collection of Japanese text processing tools for filling Japanese iteration marks, Japanese character type conversions, segmentation by phrase, and text normalization which is based on rules for the 'Sudachi' morphological analyzer and the 'NEologd' (Neologism dictionary for 'MeCab'). These features are specific to Japanese and are not implemented in 'ICU' (International Components for Unicode).
Author: Akiru Kato [cre, aut], Koki Takahashi [cph] , Shuhei Iitsuka [cph] , Taku Kudo [cph]
Maintainer: Akiru Kato <paithiov909@gmail.com>

Diff between audubon versions 0.5.1 dated 2023-05-02 and 0.5.2 dated 2024-04-26

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Package activAnalyzer updated to version 2.1.0 with previous version 2.0.2 dated 2024-01-08

Title: A 'Shiny' App to Analyze Accelerometer-Measured Daily Physical Behavior Data
Description: A tool to analyse 'ActiGraph' accelerometer data and to implement the use of the PROactive Physical Activity in COPD (chronic obstructive pulmonary disease) instruments. Once analysis is completed, the app allows to export results to .csv files and to generate a report of the measurement. All the configured inputs relevant for interpreting the results are recorded in the report. In addition to the existing 'R' packages that are fully integrated with the app, the app uses some functions from the 'actigraph.sleepr' package developed by Petkova (2021) <https://github.com/dipetkov/actigraph.sleepr/>.
Author: Pierre-Yves de Muellenheim [cre, aut]
Maintainer: Pierre-Yves de Muellenheim <pydemull@uco.fr>

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Package dndR updated to version 2.0.0 with previous version 1.3.1 dated 2023-08-07

Title: Dungeons & Dragons Functions for Players and Dungeon Masters
Description: The goal of 'dndR' is to provide a suite of Dungeons & Dragons related functions. This package is meant to be useful both to players and Dungeon Masters (DMs). All functions currently focus on Fifth Edition (a.k.a. "5e") but once the next edition is published functions will likely be expanded to include any rule changes.
Author: Nicholas Lyon [aut, cre, cph] , Tim Schatto-Eckrodt [aut] , Humberto Nappo [ctb]
Maintainer: Nicholas Lyon <njlyon@alumni.iastate.edu>

Diff between dndR versions 1.3.1 dated 2023-08-07 and 2.0.0 dated 2024-04-26

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Package cpfa updated to version 1.1-4 with previous version 1.1-3 dated 2024-04-06

Title: Classification with Parallel Factor Analysis
Description: Classification using Richard A. Harshman's Parallel Factor Analysis-1 (Parafac) model or Parallel Factor Analysis-2 (Parafac2) model fit to a three-way or four-way data array. See Harshman and Lundy (1994): <doi:10.1016/0167-9473(94)90132-5>. Uses component weights from one mode of a Parafac or Parafac2 model as features to tune parameters for one or more classification methods via a k-fold cross-validation procedure. Allows for constraints on different tensor modes. Supports penalized logistic regression, support vector machine, random forest, feed-forward neural network, regularized discriminant analysis, and gradient boosting machine. Supports binary and multiclass classification. Predicts class labels or class probabilities and calculates multiple classification performance measures. Implements parallel computing via the 'parallel' and 'doParallel' packages.
Author: Matthew A. Snodgress <snodg031@umn.edu>
Maintainer: Matthew A. Snodgress <snodg031@umn.edu>

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Package svrep updated to version 0.6.4 with previous version 0.6.3 dated 2023-09-09

Title: Tools for Creating, Updating, and Analyzing Survey Replicate Weights
Description: Provides tools for creating and working with survey replicate weights, extending functionality of the 'survey' package from Lumley (2004) <doi:10.18637/jss.v009.i08>. Implements bootstrap methods for complex surveys, including the generalized survey bootstrap as described by Beaumont and Patak (2012) <doi:10.1111/j.1751-5823.2011.00166.x>. Methods are provided for applying nonresponse adjustments to both full-sample and replicate weights as described by Rust and Rao (1996) <doi:10.1177/096228029600500305>. Implements methods for sample-based calibration described by Opsomer and Erciulescu (2021) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021002/article/00006-eng.htm>. Diagnostic functions are included to compare weights and weighted estimates from different sets of replicate weights.
Author: Ben Schneider [aut, cre]
Maintainer: Ben Schneider <benjamin.julius.schneider@gmail.com>

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Package tth updated to version 4.16-0 with previous version 4.12-0-1 dated 2022-03-30

Title: TeX-to-HTML/MathML Translators TtH/TtM
Description: C source code and R wrappers for the tth/ttm TeX-to-HTML/MathML translators.
Author: Ian H. Hutchinson [aut] , Friedrich Leisch [aut] , Achim Zeileis [aut, cre]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package bindata updated to version 0.9-21 with previous version 0.9-20 dated 2021-01-29

Title: Generation of Artificial Binary Data
Description: Generation of correlated artificial binary data.
Author: Friedrich Leisch [aut] , Andreas Weingessel [aut], Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package windex updated to version 2.0.8 with previous version 2.0.7 dated 2023-12-14

Title: Analysing Convergent Evolution using the Wheatsheaf Index
Description: Analysing convergent evolution using the Wheatsheaf index, described in Arbuckle et al. (2014) <doi: 10.1111/2041-210X.12195>, and some other unrelated but perhaps useful functions.
Author: Kevin Arbuckle and Amanda Minter
Maintainer: Kevin Arbuckle <kevin.arbuckle@swansea.ac.uk>

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Package SpatialDDLS updated to version 1.0.2 with previous version 1.0.1 dated 2024-03-15

Title: Deconvolution of Spatial Transcriptomics Data Based on Neural Networks
Description: Deconvolution of spatial transcriptomics data based on neural networks and single-cell RNA-seq data. SpatialDDLS implements a workflow to create neural network models able to make accurate estimates of cell composition of spots from spatial transcriptomics data using deep learning and the meaningful information provided by single-cell RNA-seq data. See Torroja and Sanchez-Cabo (2019) <doi:10.3389/fgene.2019.00978> and Mañanes et al. (2024) <doi:10.1093/bioinformatics/btae072> to get an overview of the method and see some examples of its performance.
Author: Diego Mananes [aut, cre] , Carlos Torroja [aut] , Fatima Sanchez-Cabo [aut]
Maintainer: Diego Mananes <dmananesc@cnic.es>

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Package jsTreeR updated to version 2.6.0 with previous version 2.5.0 dated 2023-12-19

Title: A Wrapper of the JavaScript Library 'jsTree'
Description: Creates interactive trees that can be included in 'Shiny' apps and R markdown documents. A tree allows to represent hierarchical data (e.g. the contents of a directory). Similar to the 'shinyTree' package but offers more features and options, such as the grid extension, restricting the drag-and-drop behavior, and settings for the search functionality. It is possible to attach some data to the nodes of a tree and then to get these data in 'Shiny' when a node is selected. Also provides a 'Shiny' gadget allowing to manipulate one or more folders, and a 'Shiny' module allowing to navigate in the server side file system.
Author: Stephane Laurent [aut, cre], jQuery contributors [ctb, cph] , Ivan Bozhanov [ctb, cph] , Vedran Opacic [ctb, cph] , Avi Deitcher [ctb, cph] , Philip Hutchison [ctb, cph] , Terence Eden [ctb, cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package csdata updated to version 2024.4.26 with previous version 2024.1.17 dated 2024-01-18

Title: Structural Data for Norway
Description: Datasets relating to population in municipalities, municipality/county matching, and how different municipalities have merged/redistricted over time from 2006 to 2024.
Author: Richard Aubrey White [aut, cre] , Chi Zhang [aut] , CSIDS [cph]
Maintainer: Richard Aubrey White <hello@rwhite.no>

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Package blackmarbler updated to version 0.2.0 with previous version 0.1.2 dated 2024-01-10

Title: Black Marble Data and Statistics
Description: Geographically referenced data and statistics of nighttime lights from NASA Black Marble <https://blackmarble.gsfc.nasa.gov/>.
Author: Robert Marty [aut, cre] , Gabriel Stefanini Vicente [aut]
Maintainer: Robert Marty <rmarty@worldbank.org>

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Package basicdrm updated to version 0.3.0 with previous version 0.1.0 dated 2024-02-16

Title: Fit Hill Dose Response Models
Description: Evaluate, fit, and analyze Hill dose response models (Goutelle et al., 2008 <doi:10.1111/j.1472-8206.2008.00633.x>), also sometimes referred to as four-parameter log-logistic models. Includes tools to invert Hill models, select models based on the Akaike information criterion (Akaike, 1974 <doi:10.1109/TAC.1974.1100705>) or Bayesian information criterion (Schwarz, 1978 <https://www.jstor.org/stable/2958889>), and construct bootstrapped confidence intervals both on the Hill model parameters and values derived from the Hill model parameters.
Author: Anang Shelat [aut], Nathaniel Twarog [aut, cre]
Maintainer: Nathaniel Twarog <nathaniel.twarog@stjude.org>

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Package breakfast updated to version 2.4 with previous version 2.3 dated 2022-10-18

Title: Methods for Fast Multiple Change-Point/Break-Point Detection and Estimation
Description: A developing software suite for multiple change-point and change-point-type feature detection/estimation (data segmentation) in data sequences.
Author: Andreas Anastasiou [aut], Yining Chen [aut, cre], Haeran Cho [aut], Piotr Fryzlewicz [aut]
Maintainer: Yining Chen <y.chen101@lse.ac.uk>

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Package respR (with last version 2.3.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2023-11-16 2.3.2
2023-06-29 2.3.1

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Package TidyDensity updated to version 1.4.0 with previous version 1.3.0 dated 2024-01-09

Title: Functions for Tidy Analysis and Generation of Random Data
Description: To make it easy to generate random numbers based upon the underlying stats distribution functions. All data is returned in a tidy and structured format making working with the data simple and straight forward. Given that the data is returned in a tidy 'tibble' it lends itself to working with the rest of the 'tidyverse'.
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package httptest2 updated to version 1.1.0 with previous version 1.0.0 dated 2023-11-07

Title: Test Helpers for 'httr2'
Description: Testing and documenting code that communicates with remote servers can be painful. This package helps with writing tests for packages that use 'httr2'. It enables testing all of the logic on the R sides of the API without requiring access to the remote service, and it also allows recording real API responses to use as test fixtures. The ability to save responses and load them offline also enables writing vignettes and other dynamic documents that can be distributed without access to a live server.
Author: Neal Richardson [aut, cre] , Jonathan Keane [ctb], Maelle Salmon [ctb]
Maintainer: Neal Richardson <neal.p.richardson@gmail.com>

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Package semhelpinghands updated to version 0.1.11 with previous version 0.1.10 dated 2024-03-12

Title: Helper Functions for Structural Equation Modeling
Description: An assortment of helper functions for doing structural equation modeling, mainly by 'lavaan' for now. Most of them are time-saving functions for common tasks in doing structural equation modeling and reading the output. This package is not for functions that implement advanced statistical procedures. It is a light-weight package for simple functions that do simple tasks conveniently, with as few dependencies as possible.
Author: Shu Fai Cheung [aut, cre]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package RALSA updated to version 1.4.5 with previous version 1.4.0 dated 2024-02-02

Title: R Analyzer for Large-Scale Assessments
Description: Prepare and analyze data from large-scale assessments and surveys with complex sampling and assessment design (see 'Rutkowski', 2010 <doi:10.3102/0013189X10363170>). Such studies are, for example, international assessments like 'TIMSS', 'PIRLS' and 'PISA'. A graphical interface is available for the non-technical user.The package includes functions to covert the original data from 'SPSS' into 'R' data sets keeping the user-defined missing values, merge data from different respondents and/or countries, generate variable dictionaries, modify data, produce descriptive statistics (percentages, means, percentiles, benchmarks) and multivariate statistics (correlations, linear regression, binary logistic regression). The number of supported studies and analysis types will increase in future. For a general presentation of the package, see 'Mirazchiyski', 2021a (<doi:10.1186/s40536-021-00114-4>). For detailed technical aspects of the package, see 'Mirazchiyski', 2021b (<doi:10.339 [...truncated...]
Author: Plamen V. Mirazchiyski [aut, cre], INERI [aut]
Maintainer: Plamen V. Mirazchiyski <plamen.mirazchiyski@ineri.org>

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Package comstab updated to version 0.0.3 with previous version 0.0.2 dated 2024-03-14

Title: Partitioning the Drivers of Stability of Ecological Communities
Description: Contains the basic functions to apply the unified framework for partitioning the drivers of stability of ecological communities. Segrestin et al. (2024) <doi:10.1111/geb.13828>.
Author: Jules Segrestin [aut, cre, cph]
Maintainer: Jules Segrestin <jsegrestin@gmail.com>

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Package apcluster updated to version 1.4.13 with previous version 1.4.12 dated 2024-04-19

Title: Affinity Propagation Clustering
Description: Implements Affinity Propagation clustering introduced by Frey and Dueck (2007) <DOI:10.1126/science.1136800>. The algorithms are largely analogous to the 'Matlab' code published by Frey and Dueck. The package further provides leveraged affinity propagation and an algorithm for exemplar-based agglomerative clustering that can also be used to join clusters obtained from affinity propagation. Various plotting functions are available for analyzing clustering results.
Author: Ulrich Bodenhofer [aut, cre], Johannes Palme [ctb], Chrats Melkonian [ctb], Andreas Kothmeier [aut], Nikola Kostic [ctb]
Maintainer: Ulrich Bodenhofer <ulrich@bodenhofer.com>

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Package rococo updated to version 1.1.9 with previous version 1.1.8 dated 2024-04-22

Title: Robust Rank Correlation Coefficient and Test
Description: Provides the robust gamma rank correlation coefficient as introduced by Bodenhofer, Krone, and Klawonn (2013) <DOI:10.1016/j.ins.2012.11.026> along with a permutation-based rank correlation test. The rank correlation coefficient and the test are explicitly designed for dealing with noisy numerical data.
Author: Martin Krone [aut], Ulrich Bodenhofer [aut,cre]
Maintainer: Ulrich Bodenhofer <ulrich@bodenhofer.com>

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Package QTLEMM updated to version 1.5.3 with previous version 1.5.2 dated 2024-03-13

Title: QTL Mapping and Hotspots Detection
Description: For QTL mapping, this package comprises several functions designed to execute diverse tasks, such as simulating or analyzing data, calculating significance thresholds, and visualizing QTL mapping results. The single-QTL or multiple-QTL method, which enables the fitting and comparison of various statistical models, is employed to analyze the data for estimating QTL parameters. The models encompass linear regression, permutation tests, normal mixture models, and truncated normal mixture models. The Gaussian stochastic process is utilized to compute significance thresholds for QTL detection on a genetic linkage map within experimental populations. Two types of data, complete genotyping, and selective genotyping data from various experimental populations, including backcross, F2, recombinant inbred (RI) populations, and advanced intercrossed (AI) populations, are considered in the QTL mapping analysis. For QTL hotspot detection, statistical methods can be developed based on either utilizin [...truncated...]
Author: Ping-Yuan Chung [cre], Chen-Hung Kao [aut], Y.-T. Guo [aut], H.-N. Ho [aut], H.-I. Lee [aut], P.-Y. Wu [aut], M.-H. Yang [aut], M.-H. Zeng [aut]
Maintainer: Ping-Yuan Chung <pychung@webmail.stat.sinica.edu.tw>

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Package fastcpd updated to version 0.14.3 with previous version 0.14.1 dated 2024-04-18

Title: Fast Change Point Detection via Sequential Gradient Descent
Description: Implements fast change point detection algorithm based on the paper "Sequential Gradient Descent and Quasi-Newton's Method for Change-Point Analysis" by Xianyang Zhang, Trisha Dawn <https://proceedings.mlr.press/v206/zhang23b.html>. The algorithm is based on dynamic programming with pruning and sequential gradient descent. It is able to detect change points a magnitude faster than the vanilla Pruned Exact Linear Time(PELT). The package includes examples of linear regression, logistic regression, Poisson regression, penalized linear regression data, and whole lot more examples with custom cost function in case the user wants to use their own cost function.
Author: Xingchi Li [aut, cre, cph] , Xianyang Zhang [aut, cph]
Maintainer: Xingchi Li <anthony.li@stat.tamu.edu>

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Package YatchewTest updated to version 1.0.2 with previous version 1.0.0 dated 2024-04-04

Title: Yatchew (1997), De Chaisemartin & D'Haultfoeuille (2024) Linearity Test
Description: Test of linearity originally proposed by Yatchew (1997) <doi:10.1016/S0165-1765(97)00218-8> and improved by de Chaisemartin & D'Haultfoeuille (2024) <doi:10.2139/ssrn.4284811> to be robust under heteroskedasticity.
Author: Diego Ciccia [aut, cre], Felix Knau [aut], Doulo Sow [aut], Clement de Chaisemartin [aut], Xavier D'Haultfoeuille [aut]
Maintainer: Diego Ciccia <diego.ciccia@sciencespo.fr>

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Package imager updated to version 1.0.1 with previous version 0.45.8 dated 2024-02-20

Title: Image Processing Library Based on 'CImg'
Description: Fast image processing for images in up to 4 dimensions (two spatial dimensions, one time/depth dimension, one colour dimension). Provides most traditional image processing tools (filtering, morphology, transformations, etc.) as well as various functions for easily analysing image data using R. The package wraps 'CImg', <http://cimg.eu>, a simple, modern C++ library for image processing.
Author: Simon Barthelme [aut], David Tschumperle [ctb], Jan Wijffels [ctb], Haz Edine Assemlal [ctb], Shota Ochi [ctb], Aaron Robotham [cre], Rodrigo Tobar [ctb]
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>

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Package dendroTools updated to version 1.2.13 with previous version 1.2.11 dated 2024-01-25

Title: Linear and Nonlinear Methods for Analyzing Daily and Monthly Dendroclimatological Data
Description: Provides novel dendroclimatological methods, primarily used by the Tree-ring research community. There are four core functions. The first one is daily_response(), which finds the optimal sequence of days that are related to one or more tree-ring proxy records. Similar function is daily_response_seascorr(), which implements partial correlations in the analysis of daily response functions. For the enthusiast of monthly data, there is monthly_response() function. The last core function is compare_methods(), which effectively compares several linear and nonlinear regression algorithms on the task of climate reconstruction.
Author: Jernej Jevsenak [aut, cre]
Maintainer: Jernej Jevsenak <jernej.jevsenak@gmail.com>

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Package cmsafvis updated to version 1.2.6 with previous version 1.2.3 dated 2024-01-26

Title: Tools to Visualize CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafvis' R-package provides a collection of R-operators for the analysis and visualization of CM SAF NetCDF data. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).
Author: Steffen Kothe [aut, cre], Danny Parsons [ctb]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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Package FastGaSP updated to version 0.5.3 with previous version 0.5.2 dated 2021-09-02

Title: Fast and Exact Computation of Gaussian Stochastic Process
Description: Implements fast and exact computation of Gaussian stochastic process with the Matern kernel using forward filtering and backward smoothing algorithm. It allows for the cases with or without a noise. See the reference: Mengyang Gu and Yanxun Xu, 2020, Journal of Computational and Graphical Statistics.
Author: Mengyang Gu [aut, cre]
Maintainer: Mengyang Gu <mengyang@pstat.ucsb.edu>

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Package cmsafops updated to version 1.4.0 with previous version 1.3.0 dated 2023-09-18

Title: Tools for CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafops' R-package provides a collection of R-operators for the analysis and manipulation of CM SAF NetCDF formatted data. Other CF conform NetCDF data with time, longitude and latitude dimension should be applicable, but there is no guarantee for an error-free application. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox& [...truncated...]
Author: Steffen Kothe [aut, cre], Danny Parsons [ctb]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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Package arulesViz updated to version 1.5.3 with previous version 1.5-2 dated 2023-03-07

Title: Visualizing Association Rules and Frequent Itemsets
Description: Extends package 'arules' with various visualization techniques for association rules and itemsets. The package also includes several interactive visualizations for rule exploration. Michael Hahsler (2017) <doi:10.32614/RJ-2017-047>.
Author: Michael Hahsler [aut, cre, cph] , Giallanza Tyler [ctb], Sudheer Chelluboina [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package UBCRM updated to version 1.0.3 with previous version 1.0.2 dated 2022-05-16

Title: Simulate and Conduct Dose-Escalation Phase I Studies
Description: Two Phase I designs are implemented in the package: the classical 3+3 and the Continual Reassessment Method (<doi:10.2307/2531628>). Simulations tools are also available to estimate the operating characteristics of the methods with several user-dependent options.
Author: Benjamin Esterni with contribution from Baboukar Mane
Maintainer: Christophe Zemmour <christophe.zemmour@gmail.com>

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Package stplanr updated to version 1.2.0 with previous version 1.1.2 dated 2023-09-15

Title: Sustainable Transport Planning
Description: Tools for transport planning with an emphasis on spatial transport data and non-motorized modes. The package was originally developed to support the 'Propensity to Cycle Tool', a publicly available strategic cycle network planning tool (Lovelace et al. 2017) <doi:10.5198/jtlu.2016.862>, but has since been extended to support public transport routing and accessibility analysis (Moreno-Monroy et al. 2017) <doi:10.1016/j.jtrangeo.2017.08.012> and routing with locally hosted routing engines such as 'OSRM' (Lowans et al. 2023) <doi:10.1016/j.enconman.2023.117337>. The main functions are for creating and manipulating geographic "desire lines" from origin-destination (OD) data (building on the 'od' package); calculating routes on the transport network locally and via interfaces to routing services such as <https://cyclestreets.net/> (Desjardins et al. 2021) <doi:10.1007/s11116-021-10197-1>; and calculating route segment attributes such as bearing. The package imp [...truncated...]
Author: Robin Lovelace [aut, cre] , Richard Ellison [aut], Malcolm Morgan [aut] , Barry Rowlingson [ctb], Nick Bearman [ctb], Nikolai Berkoff [ctb], Scott Chamberlain [rev] , Mark Padgham [ctb], Zhao Wang [ctb] , Andrea Gilardi [ctb] , Josiah Parry [ctb]
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package RcppSpdlog updated to version 0.0.17 with previous version 0.0.16 dated 2024-01-12

Title: R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides many desirable features. This package bundles these header files for easy use by R packages from both their R and C or C++ code. Explicit use via 'LinkingTo:' is also supported. Also see the 'spdl' package which enhanced this package with a consistent R and C++ interface.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package LearnPCA updated to version 0.3.4 with previous version 0.2.0 dated 2022-05-01

Title: Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA)
Description: Principal component analysis (PCA) is one of the most widely used data analysis techniques. This package provides a series of vignettes explaining PCA starting from basic concepts. The primary purpose is to serve as a self-study resource for anyone wishing to understand PCA better. A few convenience functions are provided as well.
Author: Bryan A. Hanson [aut, cre] , David T. Harvey [aut]
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

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Package CausalQueries updated to version 1.1.1 with previous version 1.1.0 dated 2024-04-10

Title: Make, Update, and Query Binary Causal Models
Description: Users can declare binary causal models, update beliefs about causal types given data and calculate arbitrary estimands. Model definition makes use of 'dagitty' functionality. Updating is implemented in 'stan'. The approach used in 'CausalQueries' is a generalization of the 'biqq' models described in "Mixing Methods: A Bayesian Approach" (Humphreys and Jacobs, 2015, <DOI:10.1017/S0003055415000453>). The conceptual extension makes use of work on probabilistic causal models described in Pearl's Causality (Pearl, 2009, <DOI:10.1017/CBO9780511803161>).
Author: Clara Bicalho [ctb], Jasper Cooper [ctb], Macartan Humphreys [aut] , Till Tietz [aut, cre] , Alan Jacobs [aut], Merlin Heidemanns [ctb], Lily Medina [aut] , Julio Solis [ctb], Georgiy Syunyaev [aut]
Maintainer: Till Tietz <ttietz2014@gmail.com>

Diff between CausalQueries versions 1.1.0 dated 2024-04-10 and 1.1.1 dated 2024-04-26

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Thu, 25 Apr 2024

Package SpaDES.core updated to version 2.0.5 with previous version 2.0.4 dated 2024-04-16

Title: Core Utilities for Developing and Running Spatially Explicit Discrete Event Models
Description: Provides the core framework for a discrete event system to implement a complete data-to-decisions, reproducible workflow. The core components facilitate the development of modular pieces, and enable the user to include additional functionality by running user-built modules. Includes conditional scheduling, restart after interruption, packaging of reusable modules, tools for developing arbitrary automated workflows, automated interweaving of modules of different temporal resolution, and tools for visualizing and understanding the within-project dependencies. The suggested package 'NLMR' can be installed from the repository (<https://PredictiveEcology.r-universe.dev>).
Author: Alex M Chubaty [aut] , Eliot J B McIntire [aut, cre] , Yong Luo [ctb], Steve Cumming [ctb], Ceres Barros [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

Diff between SpaDES.core versions 2.0.4 dated 2024-04-16 and 2.0.5 dated 2024-04-25

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Package CAST updated to version 1.0.1 with previous version 1.0.0 dated 2024-04-08

Title: 'caret' Applications for Spatial-Temporal Models
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. It includes the newly suggested 'Nearest neighbor distance matching' cross-validation to estimate the performance of spatial prediction models and allows for spatial variable selection to selects suitable predictor variables in view to their contribution to the spatial model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>; Milà et al. (2022) <doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022) <doi:10.1038/s41467-022-29838-9>; L [...truncated...]
Author: Hanna Meyer [cre, aut], Carles Mila [aut], Marvin Ludwig [aut], Jan Linnenbrink [aut], Fabian Schumacher [aut], Philipp Otto [ctb], Chris Reudenbach [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb]
Maintainer: Hanna Meyer <hanna.meyer@uni-muenster.de>

Diff between CAST versions 1.0.0 dated 2024-04-08 and 1.0.1 dated 2024-04-25

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New package MDMA with initial version 1.1.0
Package: MDMA
Title: Mathijs Deen's Miscellaneous Auxiliaries
Date: 2024-04-25
Version: 1.1.0
Maintainer: Mathijs Deen <dev@mathijsdeen.com>
Description: Provides a variety of functions useful for data analysis, selection, manipulation, and graphics.
Depends: R (>= 4.2)
Imports: stats, MASS, graphics, methods, grDevices, car
License: GPL-3
URL: https://github.com/mathijsdeen/MDMA
BugReports: https://github.com/mathijsdeen/MDMA/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-04-25 10:20:59 UTC; mathijs-r
Author: Mathijs Deen [aut, cre]
Repository: CRAN
Date/Publication: 2024-04-25 16:40:02 UTC

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New package epigrowthfit with initial version 0.15.2
Package: epigrowthfit
Version: 0.15.2
Date: 2024-04-24
License: GPL-3
Encoding: UTF-8
URL: https://github.com/davidearn/epigrowthfit
BugReports: https://github.com/davidearn/epigrowthfit/issues
Title: Nonlinear Mixed Effects Models of Epidemic Growth
Description: Maximum likelihood estimation of nonlinear mixed effects models of epidemic growth using Template Model Builder ('TMB'). Enables joint estimation for collections of disease incidence time series, including time series that describe multiple epidemic waves. Supports a set of widely used phenomenological models: exponential, logistic, Richards (generalized logistic), subexponential, and Gompertz. Provides methods for interrogating model objects and several auxiliary functions, including one for computing basic reproduction numbers from fitted values of the initial exponential growth rate. Preliminary versions of this software were applied in Ma et al. (2014) <doi:10.1007/s11538-013-9918-2> and in Earn et al. (2020) <doi:10.1073/pnas.2004904117>.
Depends: R (>= 4.3.0)
LinkingTo: RcppEigen (>= 0.3.4.0.0), TMB
Imports: Matrix (>= 1.6-2), TMB, grDevices, graphics, methods, nlme, stats, tools, utils
Suggests: emdbook
LazyData: true
NeedsCompilation: yes
Packaged: 2024-04-24 20:27:28 UTC; mikael
Author: Mikael Jagan [aut, cre] , Ben Bolker [aut] , Jonathan Dushoff [ctb] , David Earn [ctb] , Junling Ma [ctb]
Maintainer: Mikael Jagan <jaganmn@mcmaster.ca>
Repository: CRAN
Date/Publication: 2024-04-25 16:20:02 UTC

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New package boggy with initial version 0.0.1
Package: boggy
Title: Real-Time PCR Data Sets by Boggy et al. (2010)
Version: 0.0.1
Description: Real-time quantitative polymerase chain reaction (qPCR) data sets by Boggy et al. (2008) <doi:10.1371/journal.pone.0012355>. This package provides a dilution series for one PCR target: a random sequence that minimizes secondary structure and off-target primer binding. The data set is a six-point, ten-fold dilution series. For each concentration there are two replicates. Each amplification curve is 40 cycles long. Original raw data file: <https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0012355.s004>.
License: CC BY 4.0
Encoding: UTF-8
Imports: tibble
Depends: R (>= 2.10)
LazyData: true
URL: https://rmagno.eu/boggy/, https://github.com/ramiromagno/boggy
BugReports: https://github.com/ramiromagno/boggy/issues
NeedsCompilation: no
Packaged: 2024-04-24 15:41:49 UTC; rmagno
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>
Repository: CRAN
Date/Publication: 2024-04-25 16:10:02 UTC

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New package SpatGC with initial version 0.1.0
Package: SpatGC
Title: Bayesian Modeling of Spatial Count Data
Version: 0.1.0
Maintainer: Mahsa Nadifar <mahsa.nst@gmail.com>
Description: Provides a collection of functions for preparing data and fitting Bayesian count spatial regression models, with a specific focus on the Gamma-Count (GC) model. The GC model is well-suited for modeling dispersed count data, including under-dispersed or over-dispersed counts, or counts with equivalent dispersion, using Integrated Nested Laplace Approximations (INLA). The package includes functions for generating data from the GC model, as well as spatially correlated versions of the model. See Nadifar, Baghishani, Fallah (2023) <doi:10.1007/s13253-023-00550-5>.
License: GPL (>= 2)
URL: https://github.com/mahsanst/SpatGC
Encoding: UTF-8
Depends: R (>= 4.0)
Additional_repositories: https://inla.r-inla-download.org/R/testing
Imports: mvtnorm, stats, spdep, sf
Suggests: INLA (>= 23.06.15)
NeedsCompilation: no
Packaged: 2024-04-24 19:15:06 UTC; u23027917
Author: Mahsa Nadifar [aut, cre] , Hossein Baghishani [aut]
Repository: CRAN
Date/Publication: 2024-04-25 15:40:05 UTC

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Package sfsmisc updated to version 1.1-18 with previous version 1.1-17 dated 2024-02-01

Title: Utilities from 'Seminar fuer Statistik' ETH Zurich
Description: Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990s. For graphics, have pretty (Log-scale) axes eaxis(), an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().
Author: Martin Maechler [aut, cre] , Werner Stahel [ctb] , f.robftest, last, p.scales, p.dnorm), Andreas Ruckstuhl [ctb] , p.profileTraces, p.res.2x), Christian Keller [ctb] , p.tachoPlot), Kjetil Halvorsen [ctb] , ecdf.ksCI), Alain Hauser [ctb] , is.whole, [...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between sfsmisc versions 1.1-17 dated 2024-02-01 and 1.1-18 dated 2024-04-25

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New package quickPWCR with initial version 1.0
Package: quickPWCR
Title: Quickly construct and rating large binary pairwiesd comparisons
Version: 1.0
Date: 2024-04-23
Description: A collection of functions for constructing large pairwised comparisons and rating them using Elo rating system with supporting parallel processing. The method of random sample pairs is based on Reservoir Sampling proposed by JVitter (1985) <doi:10.1145/3147.3165>.
License: GPL-3
Encoding: UTF-8
Language: en_GB
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
Imports: Rcpp, parallel, pbmcapply, dplyr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2024-04-24 21:05:09 UTC; yangxiaohao
Author: Xiaohao Yang [aut, cre, cph]
Maintainer: Xiaohao Yang <xiaohaoy@umich.edu>
Repository: CRAN
Date/Publication: 2024-04-25 15:50:12 UTC

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New package doublIn with initial version 0.1.0
Package: doublIn
Title: Estimate Incubation or Latency Time using Doubly Interval Censored Observations
Version: 0.1.0
Maintainer: Vera Arntzen <v.h.arntzen@math.leidenuniv.nl>
Description: Visualize contact tracing data using a 'shiny' app and estimate the incubation or latency time of an infectious disease respecting the following characteristics in the analysis; (i) doubly interval censoring with (partly) overlapping or distinct windows; (ii) an infection risk corresponding to exponential growth; (iii) right truncation allowing for individual truncation times; (iv) different choices concerning the family of the distribution. For our earlier work, we refer to Arntzen et al. (2023) <doi:10.1002/sim.9726>. A paper describing our approach in detail will follow.
License: GPL (>= 3)
Encoding: UTF-8
Imports: coda, flexsurv, ggplot2, rjags, magrittr, tidyverse, DT, epicontacts, lubridate, mStats, plotly, shiny, shinyWidgets, shinydashboard, shinythemes, visNetwork, xtable, dplyr, methods
Suggests: testthat (>= 3.0.0), shinytest
NeedsCompilation: no
Packaged: 2024-04-24 15:29:29 UTC; veraarntzen
Author: Vera Arntzen [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-04-25 16:00:02 UTC

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New package disastr.api with initial version 1.0.6
Package: disastr.api
Title: Wrapper for the UN OCHA ReliefWeb Disaster Events API
Version: 1.0.6
Date: 2024-04-23
Author: Christoph Dworschak [aut, cre]
Maintainer: Christoph Dworschak <dworschak@posteo.de>
Description: Access and manage the application programming interface (API) of the United Nations Office for the Coordination of Humanitarian Affairs' (OCHA) ReliefWeb disaster events at <https://reliefweb.int/disasters>. The package requires a minimal number of dependencies. It offers functionality to retrieve a user-defined sample of disaster events from ReliefWeb, providing an easy alternative to scraping the ReliefWeb website. It enables a seamless integration of regular data updates into the research work flow.
License: GPL-3
Encoding: UTF-8
Language: en-US
Imports: httr, jsonlite
Suggests: testthat
NeedsCompilation: no
Packaged: 2024-04-23 15:13:18 UTC; root
Repository: CRAN
Date/Publication: 2024-04-25 15:20:02 UTC

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New package asm with initial version 0.1.0
Package: asm
Title: Optimal Convex M-Estimation for Linear Regression via Antitonic Score Matching
Version: 0.1.0
License: GPL (>= 3)
Description: Performs linear regression with respect to a data-driven convex loss function that is chosen to minimize the asymptotic covariance of the resulting M-estimator. The convex loss function is estimated in 5 steps: (1) form an initial OLS (ordinary least squares) or LAD (least absolute deviation) estimate of the regression coefficients; (2) use the resulting residuals to obtain a kernel estimator of the error density; (3) estimate the score function of the errors by differentiating the logarithm of the kernel density estimate; (4) compute the L2 projection of the estimated score function onto the set of decreasing functions; (5) take a negative antiderivative of the projected score function estimate. Newton's method (with Hessian modification) is then used to minimize the convex empirical risk function. Further details of the method are given in Feng et al. (2024) <doi:10.48550/arXiv.2403.16688>.
Encoding: UTF-8
Depends: R (>= 3.1)
Imports: fdrtool, pracma, Iso, MASS, quantreg
NeedsCompilation: no
Packaged: 2024-04-24 20:10:53 UTC; minx
Author: Yu-Chun Kao [aut], Min Xu [aut, cre], Oliver Feng [aut]
Maintainer: Min Xu <min.cut@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-25 15:40:02 UTC

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Package TwoWayFEWeights updated to version 2.0.3 with previous version 2.0.2 dated 2024-04-15

Title: Estimation of the Weights Attached to the Two-Way Fixed Effects Regressions
Description: Estimates the weights and measure of robustness to treatment effect heterogeneity attached to two-way fixed effects regressions. Clément de Chaisemartin, Xavier D'Haultfœuille (2020) <DOI: 10.1257/aer.20181169>.
Author: Diego Ciccia [aut, cre], Felix Knau [aut], Melitine Malezieux [aut], Doulo Sow [aut], Shuo Zhang [aut], Clement de Chaisemartin [aut], Grant McDermott [ctb]
Maintainer: Diego Ciccia <diego.ciccia@sciencespo.fr>

Diff between TwoWayFEWeights versions 2.0.2 dated 2024-04-15 and 2.0.3 dated 2024-04-25

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Package runMCMCbtadjust updated to version 1.1.0 with previous version 1.0.5 dated 2023-12-13

Title: Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or 'greta' - While Adjusting Burn-in and Thinning Parameters
Description: The function runMCMC_btadjust() returns a mcmc.list object which is the output of a Markov Chain Monte Carlo obtained - from either 'JAGS', 'nimble' or 'greta' - after adjusting burn-in and thinning parameters to meet pre-specified criteria in terms of convergence & effective sample size.
Author: Frederic Gosselin [cre, aut] , Institut national de recherche pour l'agriculture, l'alimentation et l'environnement [cph]
Maintainer: Frederic Gosselin <frederic.gosselin@inrae.fr>

Diff between runMCMCbtadjust versions 1.0.5 dated 2023-12-13 and 1.1.0 dated 2024-04-25

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Package L1centrality updated to version 0.1.1 with previous version 0.0.3 dated 2024-01-09

Title: Graph/Network Analysis Based on L1 Centrality
Description: Analyze graph/network data using L1 centrality and prestige. Functions for deriving global and local L1 centrality/prestige and L1 centrality/prestige-based neighborhoods of vertices are provided. Routines for visual inspection of a graph/network are also provided. Details are in Kang and Oh (2024) <doi:10.48550/arXiv.2404.13233>.
Author: Seungwoo Kang [aut, cre] , Hee-Seok Oh [aut]
Maintainer: Seungwoo Kang <kangsw0401@snu.ac.kr>

Diff between L1centrality versions 0.0.3 dated 2024-01-09 and 0.1.1 dated 2024-04-25

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New package adepro with initial version 4.1.0
Package: adepro
Title: A 'shiny' Application for the (Audio-)Visualization of Adverse Event Profiles
Version: 4.1.0
Author: Nicole Rethemeier, Christoph Tasto, Steffen Jeske
Maintainer: Bodo Kirsch <bodo.kirsch@bayer.com>
Description: Contains a 'shiny' application called AdEPro (Animation of Adverse Event Profiles) which (audio-)visualizes adverse events occurring in clinical trials. As this data is usually considered sensitive, this tool is provided as a stand-alone application that can be launched from any local machine on which the data is stored.
Depends: R (>= 3.5.0), shinyBS, seriation (>= 1.2.9)
License: GPL-3
URL: https://github.com/Bayer-Group/BIC-AdEPro
Encoding: UTF-8
Imports: graphics, MASS, V8, forcats, here, utils, shinyjs, shiny, audio, shape, Cairo, dplyr, readr, rlang, tidyr, haven, stats, shinyWidgets
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-25 07:05:16 UTC; SGFPJ
Repository: CRAN
Date/Publication: 2024-04-25 14:50:02 UTC

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Package RepeatedHighDim updated to version 2.3.0 with previous version 2.2.0 dated 2023-06-29

Title: Methods for High-Dimensional Repeated Measures Data
Description: A toolkit for the analysis of high-dimensional repeated measurements, providing functions for outlier detection, differential expression analysis, gene-set tests, and binary random data generation.
Author: Klaus Jung [aut, cre], Jochen Kruppa [aut], Sergej Ruff [aut]
Maintainer: Klaus Jung <klaus.jung@tiho-hannover.de>

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Package MoNAn updated to version 1.0.0 with previous version 0.1.3 dated 2024-02-05

Title: Mobility Network Analysis
Description: Implements the method to analyse weighted mobility networks or distribution networks as outlined in: Block, P., Stadtfeld, C., & Robins, G. (2022) <doi:10.1016/j.socnet.2021.08.003>. The purpose of the model is to analyse the structure of mobility, incorporating exogenous predictors pertaining to individuals and locations known from classical mobility analyses, as well as modelling emergent mobility patterns akin to structural patterns known from the statistical analysis of social networks.
Author: Per Block [cre, aut, cph] , Christoph Stadtfeld [aut] , Nico Keiser [aut], Marion Hoffman [aut]
Maintainer: Per Block <block@soziologie.uzh.ch>

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Package fs updated to version 1.6.4 with previous version 1.6.3 dated 2023-07-20

Title: Cross-Platform File System Operations Based on 'libuv'
Description: A cross-platform interface to file system operations, built on top of the 'libuv' C library.
Author: Jim Hester [aut], Hadley Wickham [aut], Gabor Csardi [aut, cre], libuv project contributors [cph] , Joyent, Inc. and other Node contributors [cph] , Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package CoTiMA updated to version 0.8.0 with previous version 0.7.0 dated 2023-12-16

Title: Continuous Time Meta-Analysis ('CoTiMA')
Description: The 'CoTiMA' package performs meta-analyses of correlation matrices of repeatedly measured variables taken from studies that used different time intervals. Different time intervals between measurement occasions impose problems for meta-analyses because the effects (e.g. cross-lagged effects) cannot be simply aggregated, for example, by means of common fixed or random effects analysis. However, continuous time math, which is applied in 'CoTiMA', can be used to extrapolate or intrapolate the results from all studies to any desired time lag. By this, effects obtained in studies that used different time intervals can be meta-analyzed. 'CoTiMA' fits models to empirical data using the structural equation model (SEM) package 'ctsem', the effects specified in a SEM are related to parameters that are not directly included in the model (i.e., continuous time parameters; together, they represent the continuous time structural equation model, CTSEM). Statistical model comparisons and significance [...truncated...]
Author: Christian Dormann [aut, cph], Markus Homberg [aut, com, cre], Olga Diener [ctb], Christina Guthier [ctb], Manuel Voelkle [ctb]
Maintainer: Markus Homberg <cotima@uni-mainz.de>

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Package RQuantLib updated to version 0.4.22 with previous version 0.4.21 dated 2024-02-01

Title: R Interface to the 'QuantLib' Library
Description: The 'RQuantLib' package makes parts of 'QuantLib' accessible from R The 'QuantLib' project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.
Author: Dirk Eddelbuettel, Khanh Nguyen , Terry Leitch
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package nnlib2Rcpp updated to version 0.2.6 with previous version 0.2.5 dated 2024-03-09

Title: A Tool for Creating Custom Neural Networks in C++ and using Them in R
Description: Contains a module to define neural networks from custom components and versions of Autoencoder, BP, LVQ, MAM NN.
Author: Vasilis Nikolaidis [aut, cph, cre]
Maintainer: Vasilis Nikolaidis <v.nikolaidis@uop.gr>

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Package frscore updated to version 0.4.0 with previous version 0.3.1 dated 2023-04-28

Title: Functions for Calculating Fit-Robustness of CNA-Solutions
Description: Functions for automatically performing a reanalysis series on a data set using CNA, and for calculating the fit-robustness of the resulting models, as described in Parkkinen and Baumgartner (2021) <doi:10.1177/0049124120986200>.
Author: Veli-Pekka Parkkinen [aut, cre, cph], Michael Baumgartner [aut, cph], Mathias Ambuehl [aut, cph]
Maintainer: Veli-Pekka Parkkinen <parkkinenv@gmail.com>

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Package BIFIEsurvey updated to version 3.6-6 with previous version 3.5-19 dated 2024-02-18

Title: Tools for Survey Statistics in Educational Assessment
Description: Contains tools for survey statistics (especially in educational assessment) for datasets with replication designs (jackknife, bootstrap, replicate weights; see Kolenikov, 2010; Pfefferman & Rao, 2009a, 2009b, <doi:10.1016/S0169-7161(09)70003-3>, <doi:10.1016/S0169-7161(09)70037-9>); Shao, 1996, <doi:10.1080/02331889708802523>). Descriptive statistics, linear and logistic regression, path models for manifest variables with measurement error correction and two-level hierarchical regressions for weighted samples are included. Statistical inference can be conducted for multiply imputed datasets and nested multiply imputed datasets and is in particularly suited for the analysis of plausible values (for details see George, Oberwimmer & Itzlinger-Bruneforth, 2016; Bruneforth, Oberwimmer & Robitzsch, 2016; Robitzsch, Pham & Yanagida, 2016). The package development was supported by BIFIE (Federal Institute for Educational Research, Innovation and Development of [...truncated...]
Author: BIFIE [aut], Alexander Robitzsch [aut, cre], Konrad Oberwimmer [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

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Package stringmagic updated to version 1.1.1 with previous version 1.1.0 dated 2024-03-06

Title: Character String Operations and Interpolation, Magic Edition
Description: Performs complex string operations compactly and efficiently. Supports string interpolation jointly with over 50 string operations. Also enhances regular string functions (like grep() and co). See an introduction at <https://lrberge.github.io/stringmagic/>.
Author: Laurent R Berge [aut, cre] , Morgan Jacob [ctb]
Maintainer: Laurent R Berge <laurent.berge@u-bordeaux.fr>

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Package polle updated to version 1.4 with previous version 1.3 dated 2023-07-06

Title: Policy Learning
Description: Framework for evaluating user-specified finite stage policies and learning realistic policies via doubly robust loss functions. Policy learning methods include doubly robust Q-learning, sequential policy tree learning, and outcome weighted learning. See Nordland and Holst (2022) <doi:10.48550/arXiv.2212.02335> for documentation and references.
Author: Andreas Nordland [aut, cre], Klaus Holst [aut]
Maintainer: Andreas Nordland <andreasnordland@gmail.com>

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Package xopen updated to version 1.0.1 with previous version 1.0.0 dated 2018-09-17

Title: Open System Files, 'URLs', Anything
Description: Cross platform solution to open files, directories or 'URLs' with their associated programs.
Author: Gabor Csardi [aut, cre], Fathi Boudra [aut], Rex Dieter [aut], Kevin Krammer [aut], Jeremy White [aut], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package Umatrix updated to version 4.0 with previous version 3.4.1 dated 2023-11-25

Title: Visualization of Structures in High-Dimensional Data
Description: By gaining the property of emergence through self-organization, the enhancement of SOMs(self organizing maps) is called Emergent SOM (ESOM). The result of the projection by ESOM is a grid of neurons which can be visualised as a three dimensional landscape in form of the Umatrix. Further details can be found in the referenced publications (see url). This package offers tools for calculating and visualising the ESOM as well as Umatrix, Pmatrix and UStarMatrix. All the functionality is also available through graphical user interfaces implemented in 'shiny'. Based on the recognized data structures, the method can be used to generate new data.
Author: Florian Lerch[aut,cre], Michael Thrun[aut], Felix Pape[ctb], Jorn Lotsch[aut], Raphael Paebst[ctb], Alfred Ultsch[aut]
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>

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Package statConfR updated to version 0.1.1 with previous version 0.0.1 dated 2023-09-22

Title: Models of Decision Confidence and Metacognition
Description: Provides fitting functions and other tools for decision confidence and metacognition researchers, including meta-d'/d', often considered to be the gold standard to measure metacognitive efficiency. Also allows to fit several static models of decision making and confidence to test the assumptions underlying meta-d'/d' and which may serve as an alternative when the assumptions of meta-d'/d' do not hold. See also Rausch et al. (2023) <doi:10.1037/met0000634>.
Author: Manuel Rausch [aut, cre] , Sebastian Hellmann [aut]
Maintainer: Manuel Rausch <manuel.rausch@hochschule-rhein-waal.de>

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Package admix updated to version 2.1-3 with previous version 2.1-2 dated 2023-07-12

Title: Package Admix for Admixture (aka Contamination) Models
Description: Implements techniques to estimate the unknown quantities related to two-component admixture models, where the two components can belong to any distribution (note that in the case of multinomial mixtures, the two components must belong to the same family). Estimation methods depend on the assumptions made on the unknown component density (see Bordes and Vandekerkhove (2010) <doi:10.3103/S1066530710010023>; Patra and Sen (2016) <doi:10.1111/rssb.12148>); Milhaud, Pommeret, Salhi and Vandekerkhove (2022) <doi:10.1016/j.jspi.2021.05.010>). In practice, one can estimate both the mixture weight and the unknown component density in a wide variety of frameworks. On top of that, hypothesis tests can be performed in one and two-sample contexts to test the unknown component density (see Milhaud, Pommeret, Salhi, Vandekerkhove (2023)). Finally, clustering of unknown mixture components is also feasible in a K-samples setting.
Author: Xavier Milhaud [aut, cre], Pierre Vandekerkhove [ctb], Denys Pommeret [ctb], Yahia Salhi [ctb]
Maintainer: Xavier Milhaud <xavier.milhaud.research@gmail.com>

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Package webfakes updated to version 1.3.1 with previous version 1.3.0 dated 2023-12-10

Title: Fake Web Apps for HTTP Testing
Description: Create a web app that makes it easier to test web clients without using the internet. It includes a web app framework with path matching, parameters and templates. Can parse various 'HTTP' request bodies. Can send 'JSON' data or files from the disk. Includes a web app that implements the 'httpbin.org' web service.
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd], Civetweb contributors [ctb] , Redoc contributors [ctb] , L. Peter Deutsch [ctb] , Martin Purschke [ctb] , Aladdin Enterprises [cph] , Maelle Salmon [ctb]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package RStoolbox updated to version 1.0.0 with previous version 0.4.0 dated 2024-01-17

Title: Remote Sensing Data Analysis
Description: Toolbox for remote sensing image processing and analysis such as calculating spectral indexes, principal component transformation, unsupervised and supervised classification or fractional cover analyses.
Author: Benjamin Leutner [aut] , Ned Horning [aut], Jakob Schwalb-Willmann [aut] , Robert J. Hijmans [ctb] , Konstantin Mueller [aut, cre]
Maintainer: Konstantin Mueller <konstantinfinn.mueller@gmx.de>

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Package secretbase updated to version 0.5.0 with previous version 0.4.0 dated 2024-04-04

Title: Cryptographic Hash and Extendable-Output Functions
Description: Fast and memory-efficient streaming hash functions. Performs direct hashing of strings, raw bytes, and files potentially larger than memory, as well as hashing in-memory objects through R's serialization mechanism, without requiring allocation of the serialized object. Implementations include the SHA-256, SHA-3 and 'Keccak' cryptographic hash functions, SHAKE256 extendable-output function (XOF), and 'SipHash' pseudo-random function. The SHA-3 Secure Hash Standard was published by the National Institute of Standards and Technology (NIST) in 2015 at <doi:10.6028/NIST.FIPS.202>. The SHA-256 Secure Hash Standard was published by NIST in 2002 at <https://csrc.nist.gov/publications/fips/fips180-2/fips180-2.pdf>.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package debugme updated to version 1.2.0 with previous version 1.1.0 dated 2017-10-22

Title: Debug R Packages
Description: Specify debug messages as special string constants, and control debugging of packages via environment variables.
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package finbif updated to version 0.9.6 with previous version 0.9.5 dated 2024-03-15

Title: Interface for the 'Finnish Biodiversity Information Facility' API
Description: A programmatic interface to the 'Finnish Biodiversity Information Facility' ('FinBIF') API (<https://api.laji.fi>). 'FinBIF' aggregates Finnish biodiversity data from multiple sources in a single open access portal for researchers, citizen scientists, industry and government. 'FinBIF' allows users of biodiversity information to find, access, combine and visualise data on Finnish plants, animals and microorganisms. The 'finbif' package makes the publicly available data in 'FinBIF' easily accessible to programmers. Biodiversity information is available on taxonomy and taxon occurrence. Occurrence data can be filtered by taxon, time, location and other variables. The data accessed are conveniently preformatted for subsequent analyses.
Author: Finnish Museum of Natural History - Luomus [cph], William K. Morris [aut, cre]
Maintainer: William K. Morris <willi@mmorris.email>

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Package StanHeaders updated to version 2.32.7 with previous version 2.32.6 dated 2024-03-01

Title: C++ Header Files for Stan
Description: The C++ header files of the Stan project are provided by this package, but it contains little R code or documentation. The main reference is the vignette. There is a shared object containing part of the 'CVODES' library, but its functionality is not accessible from R. 'StanHeaders' is primarily useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The [...truncated...]
Author: Ben Goodrich [cre, aut], Joshua Pritikin [ctb], Andrew Gelman [aut], Bob Carpenter [aut], Matt Hoffman [aut], Daniel Lee [aut], Michael Betancourt [aut], Marcus Brubaker [aut], Jiqiang Guo [aut], Peter Li [aut], Allen Riddell [aut], Marco Inacio [aut [...truncated...]
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

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Wed, 24 Apr 2024

Package GPBayes updated to version 0.1.0-6 with previous version 0.1.0-5.1 dated 2023-02-01

Title: Tools for Gaussian Process Modeling in Uncertainty Quantification
Description: Gaussian processes ('GPs') have been widely used to model spatial data, 'spatio'-temporal data, and computer experiments in diverse areas of statistics including spatial statistics, 'spatio'-temporal statistics, uncertainty quantification, and machine learning. This package creates basic tools for fitting and prediction based on 'GPs' with spatial data, 'spatio'-temporal data, and computer experiments. Key characteristics for this GP tool include: (1) the comprehensive implementation of various covariance functions including the 'Matérn' family and the Confluent 'Hypergeometric' family with isotropic form, tensor form, and automatic relevance determination form, where the isotropic form is widely used in spatial statistics, the tensor form is widely used in design and analysis of computer experiments and uncertainty quantification, and the automatic relevance determination form is widely used in machine learning; (2) implementations via Markov chain Monte Carlo ('MCMC') algorithms and [...truncated...]
Author: Pulong Ma [aut, cre]
Maintainer: Pulong Ma <mpulong@gmail.com>

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Package chevron updated to version 0.2.6 with previous version 0.2.5 dated 2024-02-01

Title: Standard TLGs for Clinical Trials Reporting
Description: Provide standard tables, listings, and graphs (TLGs) libraries used in clinical trials. This package implements a structure to reformat the data with 'dunlin', create reporting tables using 'rtables' and 'tern' with standardized input arguments to enable quick generation of standard outputs. In addition, it also provides comprehensive data checks and script generation functionality.
Author: Liming Li [aut, cre], Benoit Falquet [aut], Xiaoli Duan [aut], Adrian Waddell [ctb], Chenkai Lv [ctb], Pawel Rucki [ctb], Tim Barnett [ctb], Tian Fang [ctb], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Liming Li <liming.li@roche.com>

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Package applicable updated to version 0.1.1 with previous version 0.1.0 dated 2022-08-20

Title: A Compilation of Applicability Domain Methods
Description: A modeling package compiling applicability domain methods in R. It combines different methods to measure the amount of extrapolation new samples can have from the training set. See Gadaleta et al (2016) <doi:10.4018/IJQSPR.2016010102> for an overview of applicability domains.
Author: Marly Gotti [aut, cre], Max Kuhn [aut], RStudio [cph]
Maintainer: Marly Gotti <marlygotti@gmail.com>

Diff between applicable versions 0.1.0 dated 2022-08-20 and 0.1.1 dated 2024-04-24

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Package causact updated to version 0.5.5 with previous version 0.5.4 dated 2024-02-24

Title: Fast, Easy, and Visual Bayesian Inference
Description: Accelerate Bayesian analytics workflows in 'R' through interactive modelling, visualization, and inference. Define probabilistic graphical models using directed acyclic graphs (DAGs) as a unifying language for business stakeholders, statisticians, and programmers. This package relies on interfacing with the 'numpyro' python package.
Author: Adam Fleischhacker [aut, cre, cph], Daniela Dapena [ctb], Rose Nguyen [ctb], Jared Sharpe [ctb]
Maintainer: Adam Fleischhacker <ajf@udel.edu>

Diff between causact versions 0.5.4 dated 2024-02-24 and 0.5.5 dated 2024-04-24

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Package cranlike updated to version 1.0.3 with previous version 1.0.2 dated 2018-11-26

Title: Tools for 'CRAN'-Like Repositories
Description: A set of functions to manage 'CRAN'-like repositories efficiently.
Author: Gabor Csardi
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between cranlike versions 1.0.2 dated 2018-11-26 and 1.0.3 dated 2024-04-24

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Package clinDataReview updated to version 1.5.1 with previous version 1.5.0 dated 2023-12-11

Title: Clinical Data Review Tool
Description: Creation of interactive tables, listings and figures ('TLFs') and associated report for exploratory analysis of data in a clinical trial, e.g. for clinical oversight activities. Interactive figures include sunburst, treemap, scatterplot, line plot and barplot of counts data. Interactive tables include table of summary statistics (as counts of adverse events, enrollment table) and listings. Possibility to compare data (summary table or listing) across two data batches/sets. A clinical data review report is created via study-specific configuration files and template 'R Markdown' reports contained in the package.
Author: Laure Cougnaud [aut, cre], Michela Pasetto [aut], Lennart Tuijnder [aut], Adriaan Blommaert [aut], Arne De Roeck [ctb, rev] , Open Analytics [cph]
Maintainer: Laure Cougnaud <laure.cougnaud@openanalytics.eu>

Diff between clinDataReview versions 1.5.0 dated 2023-12-11 and 1.5.1 dated 2024-04-24

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Package cliapp updated to version 0.1.2 with previous version 0.1.1 dated 2020-10-07

Title: Create Rich Command Line Applications
Description: Create rich command line applications, with colors, headings, lists, alerts, progress bars, etc. It uses CSS for custom themes. This package is now superseded by the 'cli' package. Please use 'cli' instead in new projects.
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between cliapp versions 0.1.1 dated 2020-10-07 and 0.1.2 dated 2024-04-24

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Package riskscores updated to version 1.1.1 with previous version 1.1.0 dated 2024-04-16

Title: Optimized Integer Risk Score Models
Description: Implements an optimized approach to learning risk score models, where sparsity and integer constraints are integrated into the model-fitting process.
Author: Hannah Eglinton [aut, cre], Alice Paul [aut, cph], Oscar Yan [aut], R Core Team [ctb, cph] , Robert Gentleman [ctb, cph] , Ross Ihaka [ctb, cph] , Simon Davies [ctb] ), Thomas Lumley [ctb] )
Maintainer: Hannah Eglinton <eglintonh@gmail.com>

Diff between riskscores versions 1.1.0 dated 2024-04-16 and 1.1.1 dated 2024-04-24

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Package brio updated to version 1.1.5 with previous version 1.1.4 dated 2023-12-10

Title: Basic R Input Output
Description: Functions to handle basic input output, these functions always read and write UTF-8 (8-bit Unicode Transformation Format) files and provide more explicit control over line endings.
Author: Jim Hester [aut] , Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between brio versions 1.1.4 dated 2023-12-10 and 1.1.5 dated 2024-04-24

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Package SIHR updated to version 2.1.0 with previous version 2.0.1 dated 2023-04-09

Title: Statistical Inference in High Dimensional Regression
Description: The goal of SIHR is to provide inference procedures in the high-dimensional generalized linear regression setting for: (1) linear functionals <doi:10.48550/arXiv.1904.12891> <doi:10.48550/arXiv.2012.07133>, (2) conditional average treatment effects, (3) quadratic functionals <doi:10.48550/arXiv.1909.01503>, (4) inner product, (5) distance.
Author: Zhenyu Wang [aut], Prabrisha Rakshit [aut], Tony Cai [aut], Zijian Guo [aut, cre]
Maintainer: Zijian Guo <zijguo@stat.rutgers.edu>

Diff between SIHR versions 2.0.1 dated 2023-04-09 and 2.1.0 dated 2024-04-24

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Package mongolite updated to version 2.8.0 with previous version 2.7.3 dated 2023-12-04

Title: Fast and Simple 'MongoDB' Client for R
Description: High-performance MongoDB client based on 'mongo-c-driver' and 'jsonlite'. Includes support for aggregation, indexing, map-reduce, streaming, encryption, enterprise authentication, and GridFS. The online user manual provides an overview of the available methods in the package: <https://jeroen.github.io/mongolite/>.
Author: Jeroen Ooms [aut, cre] , MongoDB, Inc [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between mongolite versions 2.7.3 dated 2023-12-04 and 2.8.0 dated 2024-04-24

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More information about mongolite at CRAN
Permanent link

Package xslt updated to version 1.4.5 with previous version 1.4.4 dated 2023-02-21

Title: Extensible Style-Sheet Language Transformations
Description: An extension for the 'xml2' package to transform XML documents by applying an 'xslt' style-sheet.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between xslt versions 1.4.4 dated 2023-02-21 and 1.4.5 dated 2024-04-24

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Permanent link

Package gslnls updated to version 1.3.0 with previous version 1.2.0 dated 2023-12-11

Title: GSL Multi-Start Nonlinear Least-Squares Fitting
Description: An R interface to nonlinear least-squares optimization with the GNU Scientific Library (GSL), see M. Galassi et al. (2009, ISBN:0954612078). The available trust region methods include the Levenberg-Marquardt algorithm with and without geodesic acceleration, the Steihaug-Toint conjugate gradient algorithm for large systems and several variants of Powell's dogleg algorithm. Multi-start optimization based on quasi-random samples is implemented using a modified version of the algorithm in Hickernell and Yuan (1997, OR Transactions). Bindings are provided to tune a number of parameters affecting the low-level aspects of the trust region algorithms. The interface mimics R's nls() function and returns model objects inheriting from the same class.
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <joris.chau@openanalytics.eu>

Diff between gslnls versions 1.2.0 dated 2023-12-11 and 1.3.0 dated 2024-04-24

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Permanent link

Package GeDS updated to version 0.2.2 with previous version 0.2.1 dated 2024-04-11

Title: Geometrically Designed Spline Regression
Description: Spline Regression, Generalized Additive Models, and Component-wise Gradient Boosting, utilizing Geometrically Designed (GeD) Splines. GeDS regression is a non-parametric method inspired by geometric principles, for fitting spline regression models with variable knots in one or two independent variables. It efficiently estimates the number of knots and their positions, as well as the spline order, assuming the response variable follows a distribution from the exponential family. GeDS models integrate the broader category of Generalized (Non-)Linear Models, offering a flexible approach to modeling complex relationships. A description of the method can be found in Kaishev et al. (2016) <doi:10.1007/s00180-015-0621-7> and Dimitrova et al. (2023) <doi:10.1016/j.amc.2022.127493>. Further extending its capabilities, GeDS's implementation includes Generalized Additive Models (GAM) and Functional Gradient Boosting (FGB), enabling versatile multivariate predictor modeling, as discuss [...truncated...]
Author: Dimitrina S. Dimitrova <D.Dimitrova@city.ac.uk>, Emilio S. Guillen <Emilio.Saenz-Guillen@bayes.city.ac.uk>, Vladimir K. Kaishev <V.Kaishev@city.ac.uk>, Andrea Lattuada <andrea.lattuada@hotmail.com> and Richard J. Verrall <R.J.Verrall@city.ac.uk>
Maintainer: Emilio S. Guillen <Emilio.Saenz-Guillen@bayes.city.ac.uk>

Diff between GeDS versions 0.2.1 dated 2024-04-11 and 0.2.2 dated 2024-04-24

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More information about GeDS at CRAN
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Package traudem updated to version 1.0.3 with previous version 1.0.2 dated 2024-02-06

Title: Use TauDEM
Description: Simple trustworthy utility functions to use TauDEM (Terrain Analysis Using Digital Elevation Models <https://hydrology.usu.edu/taudem/taudem5/>) command-line interface. This package provides a guide to installation of TauDEM and its dependencies GDAL (Geopatial Data Abstraction Library) and MPI (Message Passing Interface) for different operating systems. Moreover, it checks that TauDEM and its dependencies are correctly installed and included to the PATH, and it provides wrapper commands for calling TauDEM methods from R.
Author: Luca Carraro [cre, aut], University of Zurich [cph, fnd], Maelle Salmon [aut] , Wael Sadek [aut], Kirill Mueller [aut]
Maintainer: Luca Carraro <Luca.Carraro@eawag.ch>

Diff between traudem versions 1.0.2 dated 2024-02-06 and 1.0.3 dated 2024-04-24

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Package SimDesign updated to version 2.15.1 with previous version 2.15 dated 2024-04-11

Title: Structure for Organizing Monte Carlo Simulation Designs
Description: Provides tools to safely and efficiently organize and execute Monte Carlo simulation experiments in R. The package controls the structure and back-end of Monte Carlo simulation experiments by utilizing a generate-analyse-summarise workflow. The workflow safeguards against common simulation coding issues, such as automatically re-simulating non-convergent results, prevents inadvertently overwriting simulation files, catches error and warning messages during execution, implicitly supports parallel processing with high-quality random number generation, and provides tools for managing high-performance computing (HPC) array jobs submitted to schedulers such as SLURM. For a pedagogical introduction to the package see Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
Author: Phil Chalmers [aut, cre] , Matthew Sigal [ctb], Ogreden Oguzhan [ctb], Mikko Ronkko [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package shinyWidgets updated to version 0.8.6 with previous version 0.8.5 dated 2024-04-17

Title: Custom Inputs Widgets for Shiny
Description: Collection of custom input controls and user interface components for 'Shiny' applications. Give your applications a unique and colorful style !
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], David Granjon [aut], Ian Fellows [ctb] , Wil Davis [ctb] , Spencer Matthews [ctb] , JavaScript and CSS libraries authors [ctb, cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package Rtwobitlib updated to version 0.3.6 with previous version 0.3.5 dated 2024-04-22

Title: '2bit' 'C' Library
Description: A trimmed down copy of the "kent-core source tree" turned into a 'C' library for manipulation of '.2bit' files. See <https://genome.ucsc.edu/FAQ/FAQformat.html#format7> for a quick overview of the '2bit' format. The "kent-core source tree" can be found here: <https://github.com/ucscGenomeBrowser/kent-core/>. Only the '.c' and '.h' files from the source tree that are related to manipulation of '.2bit' files were kept. Note that the package is primarily useful to developers of other R packages who wish to use the '2bit' 'C' library in their own 'C'/'C++' code.
Author: Herve Pages [aut, cre], UC Regents [cph]
Maintainer: Herve Pages <hpages.on.github@gmail.com>

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Package luajr updated to version 0.1.7 with previous version 0.1.6 dated 2024-02-23

Title: 'LuaJIT' Scripting
Description: An interface to 'LuaJIT' <https://luajit.org>, a just-in-time compiler for the 'Lua' scripting language <https://www.lua.org>. Allows users to run 'Lua' code from 'R'.
Author: Mike Pall [aut, cph] , Lua.org, PUC-Rio [cph] , Nicholas Davies [cre, ctb, cph]
Maintainer: Nicholas Davies <nicholas.davies@lshtm.ac.uk>

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Package AcceptReject updated to version 0.1.1 with previous version 0.1.0 dated 2024-04-11

Title: Acceptance-Rejection Method for Generating Pseudo-Random Observations
Description: Provides a function that implements the acceptance-rejection method in an optimized manner to generate pseudo-random observations for discrete or continuous random variables. The function is optimized to work in parallel on Unix-based operating systems and performs well on Windows systems. The acceptance-rejection method implemented optimizes the probability of generating observations from the desired random variable, by simply providing the probability function or probability density function, in the discrete and continuous cases, respectively. Implementation is based on references CASELLA, George at al. (2004) <https://www.jstor.org/stable/4356322>, NEAL, Radford M. (2003) <https://www.jstor.org/stable/3448413> and Bishop, Christopher M. (2006, ISBN: 978-0387310732).
Author: Pedro Rafael D. Marinho [aut, cre] , Vera Lucia Damasceno Tomazella [aut]
Maintainer: Pedro Rafael D. Marinho <pedro.rafael.marinho@gmail.com>

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Package quanteda updated to version 4.0.2 with previous version 4.0.1 dated 2024-04-08

Title: Quantitative Analysis of Textual Data
Description: A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and n-grams, exploring keywords in context, forming and manipulating sparse matrices of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses, and more.
Author: Kenneth Benoit [cre, aut, cph] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Paul Nulty [aut] , Adam Obeng [aut] , Stefan Mueller [aut] , Akitaka Matsuo [aut] , William Lowe [aut] , Christian Mueller [ctb], Olivier Delmarcelle [ctb] , European Research [...truncated...]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package Qindex.data updated to version 0.1.1 with previous version 0.1.0 dated 2024-04-05

Title: Data for Package 'Qindex'
Description: Example data used in package 'Qindex'.
Author: Tingting Zhan [aut, cre, cph] , Misung Yi [aut, cph] , Inna Chervoneva [aut, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package nimbleAPT updated to version 1.0.6 with previous version 1.0.5 dated 2024-04-22

Title: Adaptive Parallel Tempering for 'NIMBLE'
Description: Functions for adaptive parallel tempering (APT) with NIMBLE models. Adapted from 'Lacki' & 'Miasojedow' (2016) <DOI:10.1007/s11222-015-9579-0> and 'Miasojedow, Moulines and Vihola' (2013) <DOI:10.1080/10618600.2013.778779>.
Author: David Pleydell [aut, cre, cph] , Daniel Turek [cph] , Perry de Valpine [cph] , Christopher Paciorek [cph] , Nick Michaud [cph]
Maintainer: David Pleydell <david.pleydell@inrae.fr>

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Package mlr3 updated to version 0.19.0 with previous version 0.18.0 dated 2024-03-05

Title: Machine Learning in R - Next Generation
Description: Efficient, object-oriented programming on the building blocks of machine learning. Provides 'R6' objects for tasks, learners, resamplings, and measures. The package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
Author: Michel Lang [cre, aut] , Bernd Bischl [aut] , Jakob Richter [aut] , Patrick Schratz [aut] , Giuseppe Casalicchio [ctb] , Stefan Coors [ctb] , Quay Au [ctb] , Martin Binder [aut], Florian Pfisterer [aut] , Raphael Sonabend [aut] , Lennart Schneider [c [...truncated...]
Maintainer: Michel Lang <michellang@gmail.com>

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Package IRR2FPR updated to version 0.1.1 with previous version 0.1 dated 2024-04-10

Title: Computing False Positive Rate from Inter-Rater Reliability
Description: Implements a 'Shiny Item Analysis' module and functions for computing false positive rate and other binary classification metrics from inter-rater reliability based on Bartoš & Martinková (2024) <doi:10.1111/bmsp.12343>.
Author: Frantisek Bartos [aut, cre]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package crew.cluster updated to version 0.3.1 with previous version 0.3.0 dated 2024-02-07

Title: Crew Launcher Plugins for Traditional High-Performance Computing Clusters
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'crew.cluster' package extends the 'mirai'-powered 'crew' package with worker launcher plugins for traditional high-performance computing systems. Inspiration also comes from packages 'mirai' by Gao (2023) <https://github.com/shikokuchuo/mirai>, 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischl, and Surmann (2017). <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Michael Gilbert Levin [aut] , Brendan Furneaux [aut] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package crew updated to version 0.9.2 with previous version 0.9.1 dated 2024-03-25

Title: A Distributed Worker Launcher Framework
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Daniel Woodie [ctb], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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New package tsgarch with initial version 1.0.0
Package: tsgarch
Title: Univariate GARCH Models
Version: 1.0.0
Maintainer: Alexios Galanos <alexios@4dscape.com>
Depends: R (>= 3.5.0), methods, tsmethods
LinkingTo: Rcpp (>= 0.10.6), RcppArmadillo, TMB(>= 1.7.20), RcppEigen
Imports: TMB (>= 1.7.20), Rcpp, nloptr, Rdpack, numDeriv, xts, zoo, future.apply, future, progressr, flextable, stats, utils, data.table, tsdistributions, lubridate, sandwich
Description: Multiple flavors of the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model with a large choice of conditional distributions. Methods for specification, estimation, prediction, filtering, simulation, statistical testing and more. Represents a partial re-write and re-think of 'rugarch', making use of automatic differentiation for estimation.
License: GPL-2
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/tsmodels/tsgarch/issues
ByteCompile: true
URL: https://github.com/tsmodels/tsgarch
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-04-23 14:22:30 UTC; alexios
Author: Alexios Galanos [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-04-24 14:30:02 UTC

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New package sqltargets with initial version 0.0.1
Package: sqltargets
Title: Targets Extension for 'SQL' Queries
Version: 0.0.1
Maintainer: David Ranzolin <daranzolin@gmail.com>
Description: Provides an extension for 'SQL' queries as separate file within targets pipelines. The shorthand creates two targets, the query file and the query result.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, DBI, fs, glue, purrr, readr, rlang, RSQLite, stringr, tarchetypes, targets, withr
URL: https://github.com/daranzolin/sqltargets
BugReports: https://github.com/daranzolin/sqltargets/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-04-23 20:18:05 UTC; dranzolin
Author: David Ranzolin [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-04-24 14:50:02 UTC

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New package snvecR with initial version 3.9.3
Package: snvecR
Title: Calculate Earth’s Obliquity and Precession in the Past
Version: 3.9.3
Description: Easily calculate precession and obliquity from an orbital solution (defaults to ZB18a from Zeebe and Lourens (2019) <doi:10.1126/science.aax0612>) and assumed or reconstructed values for tidal dissipation (Td) and dynamical ellipticity (Ed). This is a translation and adaptation of the 'C'-code in the supplementary material to Zeebe and Lourens (2022) <doi:10.1029/2021PA004349>, with further details on the methodology described in Zeebe (2022) <doi:10.3847/1538-3881/ac80f8>. The name of the 'C'-routine is 'snvec', which refers to the key units of computation: spin vector s and orbit normal vector n.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: astrochron, ggplot2, tidyr, testthat, roxygen2, knitr, withr, curl, rmarkdown
Imports: deSolve, cli (>= 3.4.0), stats, dplyr, tibble, purrr, readr, tidyselect, rlang (>= 0.4.11), glue, tools, backports (>= 1.1.6)
Depends: R (>= 3.6.0)
VignetteBuilder: knitr
URL: https://japhir.github.io/snvecR/, https://github.com/japhir/snvecR
BugReports: https://github.com/japhir/snvecR/issues
NeedsCompilation: yes
Packaged: 2024-04-23 09:45:10 UTC; japhir
Author: Ilja Kocken [aut, cre, trl, cph] , Richard Zeebe [aut]
Maintainer: Ilja Kocken <ikocken@hawaii.edu>
Repository: CRAN
Date/Publication: 2024-04-24 14:10:02 UTC

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New package SIAtools with initial version 0.1.0
Package: SIAtools
Title: 'ShinyItemAnalysis' Modules Development Toolkit
Version: 0.1.0
Description: A comprehensive suite of functions designed for constructing and managing 'ShinyItemAnalysis' modules, supplemented with detailed guides, ready-to-use templates, linters, and tests. This package allows developers to seamlessly create and integrate one or more modules into their existing packages or to start a new module project from scratch.
License: GPL (>= 3)
URL: https://applstat.github.io/SIAtools/
Depends: R (>= 3.6.0)
Imports: cli, desc, fs, magrittr, purrr, rlang, shiny, usethis, yaml
Suggests: glue, knitr, lintr, pkgload, rmarkdown, roxygen2, rstudioapi, spelling, testthat (>= 3.0.0), tibble, tidyr, withr, xml2
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-04-23 15:49:36 UTC; netik
Author: Jan Netik [cre, aut] , Patricia Martinkova [aut]
Maintainer: Jan Netik <netik@cs.cas.cz>
Repository: CRAN
Date/Publication: 2024-04-24 14:40:02 UTC

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Package ShinyItemAnalysis updated to version 1.5.1 with previous version 1.5.0 dated 2023-05-08

Title: Test and Item Analysis via Shiny
Description: Package including functions and interactive shiny application for the psychometric analysis of educational tests, psychological assessments, health-related and other types of multi-item measurements, or ratings from multiple raters.
Author: Patricia Martinkova [aut, cre], Adela Hladka [aut], Jan Netik [aut], Ondrej Leder [ctb], Jakub Houdek [ctb], Lubomir Stepanek [ctb], Tomas Jurica [ctb], Jana Vorlickova [ctb]
Maintainer: Patricia Martinkova <martinkova@cs.cas.cz>

Diff between ShinyItemAnalysis versions 1.5.0 dated 2023-05-08 and 1.5.1 dated 2024-04-24

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New package plotcli with initial version 0.1.0
Package: plotcli
Title: Command Line Interface Plotting
Version: 0.1.0
Date: 2024-04-01
Description: The 'plotcli' package provides terminal-based plotting in R. It supports colored scatter plots, line plots, bar plots, and box plots. The package allows users to customize plot appearance, add titles, labels, ticks, and legends, and output the plot as a text-based visualization.
License: LGPL-3
URL: https://github.com/cheuerde/plotcli
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R6, ggplot2
Imports: utils, crayon, knitr, rmarkdown, stringr, rlang
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-04-23 08:34:53 UTC; cheuer
Author: Claas Heuer [aut, cre]
Maintainer: Claas Heuer <claasheuer@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-24 14:10:07 UTC

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New package mlr3summary with initial version 0.1.0
Package: mlr3summary
Title: Model and Learner Summaries for 'mlr3'
Version: 0.1.0
Description: Concise and interpretable summaries for machine learning models and learners of the 'mlr3' ecosystem. The package takes inspiration from the summary function for (generalized) linear models but extends it to non-parametric machine learning models, based on generalization performance, model complexity, feature importances and effects, and fairness metrics.
License: LGPL-3
Depends: R (>= 3.5.0)
Imports: backports, checkmate (>= 2.0.0), data.table, mlr3 (>= 0.12.0), mlr3misc, cli, future.apply (>= 1.5.0),
Suggests: testthat (>= 3.1.0), iml, mlr3pipelines, mlr3fairness, mlr3learners, fastshap, ranger, rpart
Language: en-US
NeedsCompilation: no
Encoding: UTF-8
LazyData: true
Packaged: 2024-04-23 13:05:15 UTC; susanne
Author: Susanne Dandl [aut, cre] , Marc Becker [aut] , Bernd Bischl [aut] , Giuseppe Casalicchio [aut] , Ludwig Bothmann [aut]
Maintainer: Susanne Dandl <dandls.datascience@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-24 14:20:02 UTC

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Package keyATM updated to version 0.5.2 with previous version 0.5.1 dated 2024-02-04

Title: Keyword Assisted Topic Models
Description: Fits keyword assisted topic models (keyATM) using collapsed Gibbs samplers. The keyATM combines the latent dirichlet allocation (LDA) models with a small number of keywords selected by researchers in order to improve the interpretability and topic classification of the LDA. The keyATM can also incorporate covariates and directly model time trends. The keyATM is proposed in Eshima, Imai, and Sasaki (2024) <doi:10.1111/ajps.12779>.
Author: Shusei Eshima [aut, cre] , Tomoya Sasaki [aut], Kosuke Imai [aut], Chung-hong Chan [ctb] , Romain Francois [ctb] , William Lowe [ctb], Seo-young Silvia Kim [ctb]
Maintainer: Shusei Eshima <shuseieshima@gmail.com>

Diff between keyATM versions 0.5.1 dated 2024-02-04 and 0.5.2 dated 2024-04-24

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 keyATM-0.5.2/keyATM/NAMESPACE                                 |    1 
 keyATM-0.5.2/keyATM/NEWS.md                                   |    5 
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 14 files changed, 50 insertions(+), 107 deletions(-)

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New package CalcThemAll.PRM with initial version 1.1.1
Package: CalcThemAll.PRM
Title: Calculate Pesticide Risk Metric (PRM) Values from Multiple Pesticides...Calc Them All
Version: 1.1.1
Description: Contains functions which can be used to calculate Pesticide Risk Metric values in aquatic environments from concentrations of multiple pesticides with known species sensitive distributions (SSDs). Pesticides provided by this package have all be validated however if the user has their own pesticides with SSD values they can append them to the pesticide_info table to include them in estimates.
Encoding: UTF-8
License: GPL (>= 3)
Imports: dplyr, lubridate, magrittr, MASS, stats, VGAM, plotly, zoo, DT
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-23 13:44:40 UTC; Alexander
Author: Alexander Bezzina [aut, cre, cph], Jennifer Strauss [aut], Catherine Neelamraju [aut], Hayley Kaminski [aut]
Maintainer: Alexander Bezzina <alex.h.bezzina@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-24 14:30:05 UTC

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New package slap with initial version 2024.4.1
Package: slap
Title: Simplified Error Handling
Version: 2024.4.1
Description: Alternative to using withCallingHandlers() in the simple case of catch and rethrow. The `%!%` operator evaluates the expression on its left hand side, and if an error occurs, the right hand side is used to construct a new error that embeds the original error.
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Imports: cli, rlang
URL: https://github.com/tadascience/slap, https://slap.tada.science
BugReports: https://github.com/tadascience/slap/issues
NeedsCompilation: no
Packaged: 2024-04-23 07:36:18 UTC; romainfrancois
Author: Romain Francois [aut, cre], tada.science [cph, fnd]
Maintainer: Romain Francois <romain@tada.science>
Repository: CRAN
Date/Publication: 2024-04-24 14:00:02 UTC

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Package tipsae updated to version 1.0.1 with previous version 1.0.0 dated 2024-03-26

Title: Tools for Handling Indices and Proportions in Small Area Estimation
Description: It allows for mapping proportions and indicators defined on the unit interval. It implements Beta-based small area methods comprising the classical Beta regression models, the Flexible Beta model and Zero and/or One Inflated extensions (Janicki 2020 <doi:10.1080/03610926.2019.1570266>). Such methods, developed within a Bayesian framework through Stan <https://mc-stan.org/>, come equipped with a set of diagnostics and complementary tools, visualizing and exporting functions. A Shiny application with a user-friendly interface can be launched to further simplify the process. For further details, refer to De Nicolò and Gardini (2024 <doi:10.18637/jss.v108.i01>).
Author: Silvia De Nicolo [aut, cre] , Aldo Gardini [aut]
Maintainer: Silvia De Nicolo <silvia.denicolo@unibo.it>

Diff between tipsae versions 1.0.0 dated 2024-03-26 and 1.0.1 dated 2024-04-24

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Package anticlust updated to version 0.8.3 with previous version 0.8.1 dated 2023-10-26

Title: Subset Partitioning via Anticlustering
Description: The method of anticlustering partitions a pool of elements into groups (i.e., anticlusters) with the goal of maximizing between-group similarity or within-group heterogeneity. The anticlustering approach thereby reverses the logic of cluster analysis that strives for high within-group homogeneity and clear separation between groups. Computationally, anticlustering is accomplished by maximizing instead of minimizing a clustering objective function, such as the intra-cluster variance (used in k-means clustering) or the sum of pairwise distances within clusters. The main function anticlustering() gives access to exact and heuristic anticlustering methods described in Papenberg and Klau (2021; <doi:10.1037/met0000301>), Brusco et al. (2020; <doi:10.1111/bmsp.12186>), and Papenberg (2024; <doi:10.1111/bmsp.12315>). The exact algorithms require that an integer linear programming solver is installed, either the GNU linear programming kit (<https://www.gnu.org/software/g [...truncated...]
Author: Martin Papenberg [aut, cre] , Meik Michalke [ctb] , Gunnar W. Klau [ths], Juliane V. Nagel [ctb] , Martin Breuer [ctb] , Marie L. Schaper [ctb] , Max Diekhoff [ctb]
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>

Diff between anticlust versions 0.8.1 dated 2023-10-26 and 0.8.3 dated 2024-04-24

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Package spc updated to version 0.6.8 with previous version 0.6.7 dated 2022-10-24

Title: Statistical Process Control -- Calculation of ARL and Other Control Chart Performance Measures
Description: Evaluation of control charts by means of the zero-state, steady-state ARL (Average Run Length) and RL quantiles. Setting up control charts for given in-control ARL. The control charts under consideration are one- and two-sided EWMA, CUSUM, and Shiryaev-Roberts schemes for monitoring the mean or variance of normally distributed independent data. ARL calculation of the same set of schemes under drift (in the mean) are added. Eventually, all ARL measures for the multivariate EWMA (MEWMA) are provided.
Author: Sven Knoth
Maintainer: Sven Knoth <Sven.Knoth@gmx.de>

Diff between spc versions 0.6.7 dated 2022-10-24 and 0.6.8 dated 2024-04-24

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 MD5                             |   26 ++---
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Package segclust2d updated to version 0.3.3 with previous version 0.3.1 dated 2023-08-21

Title: Bivariate Segmentation/Clustering Methods and Tools
Description: Provides two methods for segmentation and joint segmentation/clustering of bivariate time-series. Originally intended for ecological segmentation (home-range and behavioural modes) but easily applied on other series, the package also provides tools for analysing outputs from R packages 'moveHMM' and 'marcher'. The segmentation method is a bivariate extension of Lavielle's method available in 'adehabitatLT' (Lavielle, 1999 <doi:10.1016/S0304-4149(99)00023-X> and 2005 <doi:10.1016/j.sigpro.2005.01.012>). This method rely on dynamic programming for efficient segmentation. The segmentation/clustering method alternates steps of dynamic programming with an Expectation-Maximization algorithm. This is an extension of Picard et al (2007) <doi:10.1111/j.1541-0420.2006.00729.x> method (formerly available in 'cghseg' package) to the bivariate case. The method is fully described in Patin et al (2018) <doi:10.1101/444794>.
Author: Remi Patin [aut, cre], Marie-Pierre Etienne [aut], Emilie Lebarbier [aut], Simon Benhamou [aut]
Maintainer: Remi Patin <remi.patin@normale.fr>

Diff between segclust2d versions 0.3.1 dated 2023-08-21 and 0.3.3 dated 2024-04-24

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New package prediction with initial version 0.3.17
Package: prediction
Title: Tidy, Type-Safe 'prediction()' Methods
Description: A one-function package containing 'prediction()', a type-safe alternative to 'predict()' that always returns a data frame. The 'summary()' method provides a data frame with average predictions, possibly over counterfactual versions of the data (a la the 'margins' command in 'Stata'). Marginal effect estimation is provided by the related package, 'margins' <https://cran.r-project.org/package=margins>. The package currently supports common model types (e.g., "lm", "glm") from the 'stats' package, as well as numerous other model classes from other add-on packages. See the README or main package documentation page for a complete listing.
License: MIT + file LICENSE
Version: 0.3.17
Date: 2024-04-23
URL: https://github.com/leeper/prediction
BugReports: https://github.com/leeper/prediction/issues
Depends: R (>= 3.5.0)
Imports: utils, stats, data.table
Suggests: datasets, methods, testthat
Enhances: AER, aod, betareg, biglm, brglm, caret, crch, e1071, earth, ff, gam (>= 1.15), gee, glmnet, glmx, kernlab, lme4, MASS, mclogit, mda, mlogit, MNP, nlme, nnet, ordinal, plm, pscl, quantreg, rpart, sampleSelection, speedglm, survey (>= 3.31-5), survival, truncreg, VGAM
ByteCompile: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-24 01:35:49 UTC; centa
Author: Thomas J. Leeper [aut, cre] , Carl Ganz [ctb], Vincent Arel-Bundock [ctb]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-24 07:40:10 UTC

More information about prediction at CRAN
Permanent link

Package eummd (with last version 0.1.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2023-10-02 0.1.4
2023-08-18 0.1.1
2023-07-08 0.0.7

Permanent link
Package filibustr (with last version 0.2.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2024-03-01 0.2.0
2024-02-13 0.1.1

Permanent link
Package survival updated to version 3.6-4 with previous version 3.5-8 dated 2024-02-14

Title: Survival Analysis
Description: Contains the core survival analysis routines, including definition of Surv objects, Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models, and parametric accelerated failure time models.
Author: Terry M Therneau [aut, cre], Thomas Lumley [ctb, trl] , Atkinson Elizabeth [ctb], Crowson Cynthia [ctb]
Maintainer: Terry M Therneau <therneau.terry@mayo.edu>

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Tue, 23 Apr 2024

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Title: Computation and Visualization of Package Download Counts and Percentiles
Description: Compute and visualize the cross-sectional and longitudinal number and rank percentile of package downloads from Posit/RStudio's CRAN mirror.
Author: Peter Li [aut, cre]
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Package nhanesA updated to version 1.1 with previous version 1.0 dated 2024-01-09

Title: NHANES Data Retrieval
Description: Utility to retrieve data from the National Health and Nutrition Examination Survey (NHANES) website <https://www.cdc.gov/nchs/nhanes/index.htm>.
Author: Christopher Endres [aut, cre], Laha Ale [aut] , Robert Gentleman [aut], Deepayan Sarkar [aut]
Maintainer: Christopher Endres <cjendres1@gmail.com>

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Package moderate.mediation updated to version 0.0.9 with previous version 0.0.8 dated 2024-02-29

Title: Causal Moderated Mediation Analysis
Description: Causal moderated mediation analysis using the methods proposed by Qin and Wang (2023) <doi:10.3758/s13428-023-02095-4>. Causal moderated mediation analysis is crucial for investigating how, for whom, and where a treatment is effective by assessing the heterogeneity of mediation mechanism across individuals and contexts. This package enables researchers to estimate and test the conditional and moderated mediation effects, assess their sensitivity to unmeasured pre-treatment confounding, and visualize the results. The package is built based on the quasi-Bayesian Monte Carlo method, because it has relatively better performance at small sample sizes, and its running speed is the fastest. The package is applicable to a treatment of any scale, a binary or continuous mediator, a binary or continuous outcome, and one or more moderators of any scale.
Author: Xu Qin [aut, cre, cph], Lijuan Wang [ctb]
Maintainer: Xu Qin <xuqin@pitt.edu>

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Package AgroR updated to version 1.3.6 with previous version 1.3.5 dated 2023-09-13

Title: Experimental Statistics and Graphics for Agricultural Sciences
Description: Performs the analysis of completely randomized experimental designs (CRD), randomized blocks (RBD) and Latin square (LSD), experiments in double and triple factorial scheme (in CRD and RBD), experiments in subdivided plot scheme (in CRD and RBD), subdivided and joint analysis of experiments in CRD and RBD, linear regression analysis, test for two samples. The package performs analysis of variance, ANOVA assumptions and multiple comparison test of means or regression, according to Pimentel-Gomes (2009, ISBN: 978-85-7133-055-9), nonparametric test (Conover, 1999, ISBN: 0471160687), test for two samples, joint analysis of experiments according to Ferreira (2018, ISBN: 978-85-7269-566-4) and generalized linear model (glm) for binomial and Poisson family in CRD and RBD (Carvalho, FJ (2019), <doi:10.14393/ufu.te.2019.1244>). It can also be used to obtain descriptive measures and graphics, in addition to correlations and creative graphics used in agricultural sciences (Agronomy, Zootech [...truncated...]
Author: Gabriel Danilo Shimizu [aut, cre] , Rodrigo Yudi Palhaci Marubayashi [aut, ctb] , Leandro Simoes Azeredo Goncalves [aut, ctb]
Maintainer: Gabriel Danilo Shimizu <gabrield.shimizu@gmail.com>

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Package pedbp updated to version 2.0.0 with previous version 1.0.2 dated 2022-11-23

Title: Pediatric Blood Pressure
Description: Data and utilities for estimating pediatric blood pressure percentiles by sex, age, and optionally height (stature) as described in Martin et.al. (2022) <doi:10.1001/jamanetworkopen.2022.36918>. Blood pressure percentiles for children under one year of age come from Gemelli et.al. (1990) <doi:10.1007/BF02171556>. Estimates of blood pressure percentiles for children at least one year of age are informed by data from the National Heart, Lung, and Blood Institute (NHLBI) and the Centers for Disease Control and Prevention (CDC) <doi:10.1542/peds.2009-2107C> or from Lo et.al. (2013) <doi:10.1542/peds.2012-1292>. The flowchart for selecting the informing data source comes from Martin et.al. (2022) <doi:10.1542/hpeds.2021-005998>.
Author: Peter DeWitt [aut, cre] , Blake Martin [ctb] , David Albers [ctb] , Tell Bennett [ctb]
Maintainer: Peter DeWitt <peter.dewitt@cuanschutz.edu>

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Package SimInf updated to version 9.7.0 with previous version 9.6.0 dated 2023-12-20

Title: A Framework for Data-Driven Stochastic Disease Spread Simulations
Description: Provides an efficient and very flexible framework to conduct data-driven epidemiological modeling in realistic large scale disease spread simulations. The framework integrates infection dynamics in subpopulations as continuous-time Markov chains using the Gillespie stochastic simulation algorithm and incorporates available data such as births, deaths and movements as scheduled events at predefined time-points. Using C code for the numerical solvers and 'OpenMP' (if available) to divide work over multiple processors ensures high performance when simulating a sample outcome. One of our design goals was to make the package extendable and enable usage of the numerical solvers from other R extension packages in order to facilitate complex epidemiological research. The package contains template models and can be extended with user-defined models. For more details see the paper by Widgren, Bauer, Eriksson and Engblom (2019) <doi:10.18637/jss.v091.i12>. The package also provides function [...truncated...]
Author: Stefan Widgren [aut, cre] , Robin Eriksson [aut] , Stefan Engblom [aut] , Pavol Bauer [aut] , Thomas Rosendal [ctb] , Ivana Rodriguez Ewerloef [ctb] , Attractive Chaos [cph]
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>

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Package rphylopic updated to version 1.4.0 with previous version 1.3.0 dated 2023-12-20

Title: Get Silhouettes of Organisms from PhyloPic
Description: Work with the PhyloPic Web Service (<http://api-docs.phylopic.org/v2/>) to fetch silhouette images of organisms. Includes functions for adding silhouettes to both base R plots and ggplot2 plots.
Author: William Gearty [aut, cre] , Lewis A. Jones [aut] , Scott Chamberlain [aut] , David Miller [ctb]
Maintainer: William Gearty <willgearty@gmail.com>

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Package pomdp updated to version 1.2.2 with previous version 1.2.1 dated 2024-04-09

Title: Infrastructure for Partially Observable Markov Decision Processes (POMDP)
Description: Provides the infrastructure to define and analyze the solutions of Partially Observable Markov Decision Process (POMDP) models. Interfaces for various exact and approximate solution algorithms are available including value iteration, point-based value iteration and SARSOP. Smallwood and Sondik (1973) <doi:10.1287/opre.21.5.1071>.
Author: Michael Hahsler [aut, cph, cre] , Hossein Kamalzadeh [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package mlr3pipelines updated to version 0.5.2 with previous version 0.5.1 dated 2024-03-26

Title: Preprocessing Operators and Pipelines for 'mlr3'
Description: Dataflow programming toolkit that enriches 'mlr3' with a diverse set of pipelining operators ('PipeOps') that can be composed into graphs. Operations exist for data preprocessing, model fitting, and ensemble learning. Graphs can themselves be treated as 'mlr3' 'Learners' and can therefore be resampled, benchmarked, and tuned.
Author: Martin Binder [aut, cre], Florian Pfisterer [aut] , Lennart Schneider [aut] , Bernd Bischl [aut] , Michel Lang [aut] , Sebastian Fischer [ctb] , Susanne Dandl [aut]
Maintainer: Martin Binder <mlr.developer@mb706.com>

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Package flightsbr updated to version 0.4.1 with previous version 0.4.0 dated 2023-12-04

Title: Download Flight and Airport Data from Brazil
Description: Download flight and airport data from Brazil’s Civil Aviation Agency (ANAC) <https://www.gov.br/anac>. The data includes detailed information on all aircrafts, aerodromes, airports, and airport movements registered in ANAC, on airfares and on every international flight to and from Brazil, as well as domestic flights within the country.
Author: Rafael H. M. Pereira [aut, cre] , Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package collpcm updated to version 1.4 with previous version 1.3 dated 2024-01-09

Title: Collapsed Latent Position Cluster Model for Social Networks
Description: Markov chain Monte Carlo based inference routines for collapsed latent position cluster models or social networks, which includes searches over the model space (number of clusters in the latent position cluster model). The label switching algorithm used is that of Nobile and Fearnside (2007) <doi:10.1007/s11222-006-9014-7> which relies on the algorithm of Carpaneto and Toth (1980) <doi:10.1145/355873.355883>.
Author: Jason Wyse [aut, cre], Caitriona Ryan [aut], Nial Friel [ths]
Maintainer: Jason Wyse <wyseja@tcd.ie>

Diff between collpcm versions 1.3 dated 2024-01-09 and 1.4 dated 2024-04-23

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Package clinUtils updated to version 0.1.5 with previous version 0.1.4 dated 2023-01-06

Title: General Utility Functions for Analysis of Clinical Data
Description: Utility functions to facilitate the import, the reporting and analysis of clinical data. Example datasets in 'SDTM' and 'ADaM' format, containing a subset of patients/domains from the 'CDISC Pilot 01 study' are also available as R datasets to demonstrate the package functionalities.
Author: Laure Cougnaud [aut, cre], Michela Pasetto [aut], Arne De Roeck [rev] , Open Analytics [cph]
Maintainer: Laure Cougnaud <laure.cougnaud@openanalytics.eu>

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Package Amelia updated to version 1.8.2 with previous version 1.8.1 dated 2022-11-19

Title: A Program for Missing Data
Description: A tool that "multiply imputes" missing data in a single cross-section (such as a survey), from a time series (like variables collected for each year in a country), or from a time-series-cross-sectional data set (such as collected by years for each of several countries). Amelia II implements our bootstrapping-based algorithm that gives essentially the same answers as the standard IP or EMis approaches, is usually considerably faster than existing approaches and can handle many more variables. Unlike Amelia I and other statistically rigorous imputation software, it virtually never crashes (but please let us know if you find to the contrary!). The program also generalizes existing approaches by allowing for trends in time series across observations within a cross-sectional unit, as well as priors that allow experts to incorporate beliefs they have about the values of missing cells in their data. Amelia II also includes useful diagnostics of the fit of multiple imputation models. The p [...truncated...]
Author: James Honaker [aut], Gary King [aut], Matthew Blackwell [aut, cre]
Maintainer: Matthew Blackwell <mblackwell@gov.harvard.edu>

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Package rapiclient updated to version 0.1.4 with previous version 0.1.3 dated 2020-01-17

Title: Dynamic OpenAPI/Swagger Client
Description: Access services specified in OpenAPI (formerly Swagger) format. It is not a code generator. Client is generated dynamically as a list of R functions.
Author: Darko Bergant [aut, cre], Marcel Ramos [ctb], Sean Davis [ctb], Martin Morgan [ctb]
Maintainer: Darko Bergant <darko.bergant@gmail.com>

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Package ips updated to version 0.0.12 with previous version 0.0.11 dated 2019-07-04

Title: Interfaces to Phylogenetic Software in R
Description: Functions that wrap popular phylogenetic software for sequence alignment, masking of sequence alignments, and estimation of phylogenies and ancestral character states.
Author: Christoph Heibl [aut, cre], Natalie Cusimano [aut], Franz-Sebastian Krah [aut]
Maintainer: Christoph Heibl <christoph.heibl@gmx.net>

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Package RTMB updated to version 1.5 with previous version 1.4 dated 2023-12-01

Title: 'R' Bindings for 'TMB'
Description: Native 'R' interface to 'TMB' (Template Model Builder) so models can be written entirely in 'R' rather than 'C++'. Automatic differentiation, to any order, is available for a rich subset of 'R' features, including linear algebra for dense and sparse matrices, complex arithmetic, Fast Fourier Transform, probability distributions and special functions. 'RTMB' provides easy access to model fitting and validation following the principles of Kristensen, K., Nielsen, A., Berg, C. W., Skaug, H., & Bell, B. M. (2016) <DOI:10.18637/jss.v070.i05> and Thygesen, U.H., Albertsen, C.M., Berg, C.W. et al. (2017) <DOI:10.1007/s10651-017-0372-4>.
Author: Kasper Kristensen [aut, cre]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

Diff between RTMB versions 1.4 dated 2023-12-01 and 1.5 dated 2024-04-23

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Package L1pack updated to version 0.41-245 with previous version 0.41-24 dated 2023-05-18

Title: Routines for L1 Estimation
Description: L1 estimation for linear regression using Barrodale and Roberts' method <doi:10.1145/355616.361024> and the EM algorithm <doi:10.1023/A:1020759012226>. Estimation of mean and covariance matrix using the multivariate Laplace distribution, density, distribution function, quantile function and random number generation for univariate and multivariate Laplace distribution <doi:10.1080/03610929808832115>.
Author: Felipe Osorio [aut, cre] , Tymoteusz Wolodzko [aut]
Maintainer: Felipe Osorio <felipe.osorios@usm.cl>

Diff between L1pack versions 0.41-24 dated 2023-05-18 and 0.41-245 dated 2024-04-23

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Package emayili updated to version 0.8.0 with previous version 0.7.18 dated 2023-08-30

Title: Send Email Messages
Description: A light, simple tool for sending emails with minimal dependencies.
Author: Andrew B. Collier [aut, cre, cph], Matt Dennis [ctb], Antoine Bichat [ctb] , Daniel Fahey [ctb], Johann R. Kleinbub [ctb], Panagiotis Moulos [ctb], Swechhya Bista [ctb], Colin Fay [ctb]
Maintainer: Andrew B. Collier <andrew.b.collier@gmail.com>

Diff between emayili versions 0.7.18 dated 2023-08-30 and 0.8.0 dated 2024-04-23

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Package randtests updated to version 1.0.2 with previous version 1.0.1 dated 2022-06-20

Title: Testing Randomness in R
Description: Provides several non parametric randomness tests for numeric sequences.
Author: Frederico Caeiro [aut, cre] , Ayana Mateus [aut]
Maintainer: Frederico Caeiro <fac@fct.unl.pt>

Diff between randtests versions 1.0.1 dated 2022-06-20 and 1.0.2 dated 2024-04-23

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Package madshapR updated to version 1.1.0 with previous version 1.0.3 dated 2023-12-19

Title: Support Technical Processes Following 'Maelstrom Research' Standards
Description: Functions to support rigorous processes in data cleaning, evaluation, and documentation across datasets from different studies based on Maelstrom Research guidelines. The package includes the core functions to evaluate and format the main inputs that define the process, diagnose errors, and summarize and evaluate datasets and their associated data dictionaries. The main outputs are clean datasets and associated metadata, and tabular and visual summary reports. As described in Maelstrom Research guidelines for rigorous retrospective data harmonization (Fortier I and al. (2017) <doi:10.1093/ije/dyw075>).
Author: Guillaume Fabre [aut, cre] , Maelstrom-research group [cph, fnd]
Maintainer: Guillaume Fabre <guijoseph.fabre@gmail.com>

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Package CptNonPar updated to version 0.2.1 with previous version 0.1.1 dated 2023-06-13

Title: Nonparametric Change Point Detection for Multivariate Time Series
Description: Implements the nonparametric moving sum procedure for detecting changes in the joint characteristic function (NP-MOJO) for multiple change point detection in multivariate time series. See McGonigle, E. T., Cho, H. (2023) <doi:10.48550/arXiv.2305.07581> for description of the NP-MOJO methodology.
Author: Euan T. McGonigle [aut, cre], Haeran Cho [aut]
Maintainer: Euan T. McGonigle <e.t.mcgonigle@soton.ac.uk>

Diff between CptNonPar versions 0.1.1 dated 2023-06-13 and 0.2.1 dated 2024-04-23

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Package WordListsAnalytics updated to version 0.2.1 with previous version 0.2.0 dated 2024-04-18

Title: Multiple Data Analysis Tools for Property Listing Tasks
Description: Application to estimate statistical values using properties provided by a group of individuals to describe concepts using 'shiny'. It estimates the underlying distribution to generate new descriptive words Canessa et al. (2023) <doi:10.3758/s13428-022-01811-w>, applies a new clustering model, and uses simulations to estimate the probability that two persons describe the same words based on their descriptions Canessa et al. (2022) <doi:10.3758/s13428-022-02030-z>.
Author: Sebastian Moreno [aut, cre], Cristobal Heredia [aut], Enrique Canessa [ths], Sergio Chaigneau [ths]
Maintainer: Sebastian Moreno <sebastian.moreno.araya@gmail.com>

Diff between WordListsAnalytics versions 0.2.0 dated 2024-04-18 and 0.2.1 dated 2024-04-23

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Package labelled updated to version 2.13.0 with previous version 2.12.0 dated 2023-06-21

Title: Manipulating Labelled Data
Description: Work with labelled data imported from 'SPSS' or 'Stata' with 'haven' or 'foreign'. This package provides useful functions to deal with "haven_labelled" and "haven_labelled_spss" classes introduced by 'haven' package.
Author: Joseph Larmarange [aut, cre] , Daniel Ludecke [ctb], Hadley Wickham [ctb], Michal Bojanowski [ctb], Francois Briatte [ctb]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package grattanInflators updated to version 0.5.3 with previous version 0.5.1 dated 2024-03-26

Title: Inflators for Australian Policy Analysis
Description: Using Australian Bureau of Statistics indices, provides functions that convert historical, nominal statistics to real, contemporary values without worrying about date input quality, performance, or the ABS catalogue.
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between grattanInflators versions 0.5.1 dated 2024-03-26 and 0.5.3 dated 2024-04-23

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Package DIDmultiplegtDYN updated to version 1.0.8 with previous version 1.0.5 dated 2024-03-01

Title: Estimation in Difference-in-Difference Designs with Multiple Groups and Periods
Description: Estimation of event-study Difference-in-Difference (DID) estimators in designs with multiple groups and periods, and with a potentially non-binary treatment that may increase or decrease multiple times.
Author: Diego Ciccia [aut, cre], Felix Knau [aut], Melitine Malezieux [aut], Doulo Sow [aut], Clement de Chaisemartin [aut]
Maintainer: Diego Ciccia <diego.ciccia@sciencespo.fr>

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Package vdg updated to version 1.2.3 with previous version 1.2.2 dated 2022-07-07

Title: Variance Dispersion Graphs and Fraction of Design Space Plots
Description: Facilities for constructing variance dispersion graphs, fraction- of-design-space plots and similar graphics for exploring the properties of experimental designs. The design region is explored via random sampling, which allows for more flexibility than traditional variance dispersion graphs. A formula interface is leveraged to provide access to complex model formulae. Graphics can be constructed simultaneously for multiple experimental designs and/or multiple model formulae. Instead of using pointwise optimization to find the minimum and maximum scaled prediction variance curves, which can be inaccurate and time consuming, this package uses quantile regression as an alternative.
Author: Pieter Schoonees [aut, cre, cph], Niel le Roux [ctb]
Maintainer: Pieter Schoonees <schoonees@gmail.com>

Diff between vdg versions 1.2.2 dated 2022-07-07 and 1.2.3 dated 2024-04-23

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New package textrar with initial version 0.8.0
Package: textrar
Title: Interface to 'TexTra' from R
Version: 0.8.0
Description: A wrapper for the 'TexTra' API <https://mt-auto-minhon-mlt.ucri.jgn-x.jp/>, a web service for translating texts between different languages. 'TexTra' API account is required to use the service.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/matutosi/textrar
Imports: jsonlite, httr
Suggests: knitr, rmarkdown, spelling
Language: en-US
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-04-23 05:25:07 UTC; matutosi
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-23 11:50:03 UTC

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New package pargasite with initial version 2.1.0
Package: pargasite
Title: Pollution-Associated Risk Geospatial Analysis Site
Version: 2.1.0
Description: Offers tools to estimate and visualize levels of major pollutants (CO, NO2, SO2, Ozone, PM2.5 and PM10) across the conterminous United States for user-defined time ranges. Provides functions to retrieve pollutant data from the U.S. Environmental Protection Agency’s 'Air Quality System' (AQS) API service <https://aqs.epa.gov/aqsweb/documents/data_api.html> for interactive visualization through a 'shiny' application, allowing users to explore pollutant levels for a given location over time relative to the National Ambient Air Quality Standards (NAAQS).
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Imports: cli, gstat, leaflet, leafsync, methods, raqs, rlang, sf (>= 1.0-15), shiny, shinycssloaders, stars (>= 0.6-5), stats, utils
Depends: R (>= 4.1.0)
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-22 21:27:39 UTC; jaehyun
Author: Jaehyun Joo [aut, cre], Rebecca Greenblatt [aut], Avantika Diwadkar [aut], Nisha Narayanan [aut], Blanca Himes [aut]
Maintainer: Jaehyun Joo <jaehyunjoo@outlook.com>
Repository: CRAN
Date/Publication: 2024-04-23 11:20:02 UTC

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New package Eunomia with initial version 2.0.0
Package: Eunomia
Title: Standard Dataset Manager for Observational Medical Outcomes Partnership Common Data Model Sample Datasets
Version: 2.0.0
Date: 2024-04-22
Maintainer: Frank DeFalco <fdefalco@ohdsi.org>
Description: Facilitates access to sample datasets from the 'EunomiaDatasets' repository (<https://github.com/ohdsi/EunomiaDatasets>).
License: Apache License 2.0
URL: https://github.com/OHDSI/Eunomia
BugReports: https://github.com/OHDSI/Eunomia/issues
Imports: readr, rlang, RSQLite, DBI, arrow, CommonDataModel
Suggests: testthat, withr, duckdb, DatabaseConnector
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-22 21:30:32 UTC; fjd
Author: Frank DeFalco [aut, cre], Martijn Schuemie [aut], Anthony Sena [aut], Natthawut Adulyanukosol [aut], Star Liu [aut], Adam Black [aut], Observational Health Data Science and Informatics [cph]
Repository: CRAN
Date/Publication: 2024-04-23 11:30:05 UTC

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New package BayesSurvive with initial version 0.0.1
Package: BayesSurvive
Title: Bayesian Survival Models for High-Dimensional Data
Version: 0.0.1
Date: 2024-04-22
Description: An implementation of Bayesian survival models with graph-structured selection priors for sparse identification of omics features predictive of survival (Madjar et al., 2021 <doi:10.1186/s12859-021-04483-z>) and its extension to use a fixed graph via a Markov Random Field (MRF) prior for capturing known structure of omics features, e.g. disease-specific pathways from the Kyoto Encyclopedia of Genes and Genomes database.
URL: https://github.com/ocbe-uio/BayesSurvive
BugReports: https://github.com/ocbe-uio/BayesSurvive/issues
License: GPL-3
Depends: R (>= 4.0)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo (>= 0.9.000)
Imports: Rcpp, ggplot2, GGally, mvtnorm, survival, riskRegression, utils, stats
Suggests: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2024-04-22 20:20:09 UTC; zhiz
Author: Zhi Zhao [aut, cre], Katrin Madjar [aut], Tobias Oestmo Hermansen [aut], Manuela Zucknick [ctb], Joerg Rahnenfuehrer [ctb]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>
Repository: CRAN
Date/Publication: 2024-04-23 11:20:06 UTC

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New package bayesMeanScale with initial version 0.1.0
Package: bayesMeanScale
Title: Bayesian Post-Estimation on the Mean Scale
Version: 0.1.0
URL: https://github.com/dalenbe2/bayesMeanScale
BugReports: https://github.com/dalenbe2/bayesMeanScale/issues
Description: Computes Bayesian posterior distributions of predictions, marginal effects, and differences of marginal effects for various generalized linear models. Importantly, the posteriors are on the mean (response) scale, allowing for more natural interpretation than summaries on the link scale. Also, predictions and marginal effects of the count probabilities for Poisson and negative binomial models can be computed.
License: GPL (>= 3)
Encoding: UTF-8
Imports: bayestestR, data.table, magrittr
Depends: R (>= 3.5.0)
Suggests: flextable, knitr, rmarkdown, rstanarm, tibble, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-23 00:00:35 UTC; daviddalenberg
Author: David M. Dalenberg [aut, cre]
Maintainer: David M. Dalenberg <dalenbe2@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-23 11:30:02 UTC

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New package relMix with initial version 1.4
Package: relMix
Title: Relationship Inference for DNA Mixtures
Version: 1.4
Date: 2024-04-12
Description: Analysis of DNA mixtures involving relatives by computation of likelihood ratios that account for dropout and drop-in, mutations, silent alleles and population substructure. This is useful in kinship cases, like non-invasive prenatal paternity testing, where deductions about individuals' relationships rely on DNA mixtures, and in criminal cases where the contributors to a mixed DNA stain may be related. Relationships are represented by pedigrees and can include kinship between more than two individuals. The main function is relMix() and its graphical user interface relMixGUI(). The implementation and method is described in Dorum et al. (2017) <doi:doi.org/10.1007/s00414-016-1526-x>, Hernandis et al. (2019) <doi:doi.org/10.1016/j.fsigss.2019.09.085> and Kaur et al. (2016) <doi:doi.org/10.1007/s00414-015-1276-1>.
VignetteBuilder: knitr
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Familias (>= 2.6.1), gWidgets2, gWidgets2tcltk, flextable, officer, pedFamilias, pedtools
Suggests: knitr, pander, rmarkdown, tkrplot
License: GPL (>= 2)
URL: https://gdorum.github.io/relMix/
NeedsCompilation: no
Packaged: 2024-04-22 08:57:01 UTC; dogu
Author: Guro Dorum [aut, cre], Elias Hernandis [aut], Navreet Kaur [ctb], Thore Egeland [ctb]
Maintainer: Guro Dorum <guro.dorum@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-23 10:50:02 UTC

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Package FjordLight updated to version 0.8 with previous version 0.7.0 dated 2023-12-02

Title: Available Light Within the Water Column and Seafloor of Arctic Fjords
Description: Satellite data collected between 2003 and 2022, in conjunction with gridded bathymetric data (50-150 m resolution), are used to estimate the irradiance reaching the bottom of a series of representative EU Arctic fjords. An Earth System Science Data (ESSD) manuscript, Schlegel et al. (2023, in review), that provides a detailed explanation of the methodology is currently in review.
Author: Bernard Gentili [aut], Jean-Pierre Gattuso [aut] , Robert W. Schlegel [aut, cre]
Maintainer: Robert W. Schlegel <robert.schlegel@imev-mer.fr>

Diff between FjordLight versions 0.7.0 dated 2023-12-02 and 0.8 dated 2024-04-23

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Package SIAmodules updated to version 0.1.1 with previous version 0.1.0 dated 2023-03-29

Title: Modules for 'ShinyItemAnalysis'
Description: Package including additional modules for interactive 'ShinyItemAnalysis' application for the psychometric analysis of educational tests, psychological assessments, health-related and other types of multi-item measurements, or ratings from multiple raters.
Author: Patricia Martinkova [aut, cre] , Jan Netik [aut]
Maintainer: Patricia Martinkova <martinkova@cs.cas.cz>

Diff between SIAmodules versions 0.1.0 dated 2023-03-29 and 0.1.1 dated 2024-04-23

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New package bbk with initial version 0.1.0
Package: bbk
Title: Client for the Bundesbank API
Version: 0.1.0
Description: Download data and metadata from the 'Bundesbank SDMX Web Service API' found at <https://www.bundesbank.de/en/statistics/time-series-databases/help-for-sdmx-web-service/web-service-interface-data>.
License: MIT + file LICENSE
URL: https://m-muecke.github.io/bbk/, https://github.com/m-muecke/bbk
BugReports: https://github.com/m-muecke/bbk/issues
Depends: R (>= 4.1.0)
Imports: httr2, utils, xml2
Suggests: ggplot2, scales, testthat (>= 3.0.0), tibble
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-22 20:05:45 UTC; mmuecke
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-23 09:30:02 UTC

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Package scGate updated to version 1.6.2 with previous version 1.6.0 dated 2023-11-06

Title: Marker-Based Cell Type Purification for Single-Cell Sequencing Data
Description: A common bioinformatics task in single-cell data analysis is to purify a cell type or cell population of interest from heterogeneous datasets. 'scGate' automatizes marker-based purification of specific cell populations, without requiring training data or reference gene expression profiles. Briefly, 'scGate' takes as input: i) a gene expression matrix stored in a 'Seurat' object and ii) a “gating model” (GM), consisting of a set of marker genes that define the cell population of interest. The GM can be as simple as a single marker gene, or a combination of positive and negative markers. More complex GMs can be constructed in a hierarchical fashion, akin to gating strategies employed in flow cytometry. 'scGate' evaluates the strength of signature marker expression in each cell using the rank-based method 'UCell', and then performs k-nearest neighbor (kNN) smoothing by calculating the mean 'UCell' score across neighboring cells. kNN-smoothing aims at compensating for the large degree of s [...truncated...]
Author: Massimo Andreatta [aut, cre] , Ariel Berenstein [aut] , Josep Garnica [aut], Santiago Carmona [aut]
Maintainer: Massimo Andreatta <massimo.andreatta@unil.ch>

Diff between scGate versions 1.6.0 dated 2023-11-06 and 1.6.2 dated 2024-04-23

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New package RobRegression with initial version 0.1.0
Package: RobRegression
Title: Robust Multivariate Regression
Version: 0.1.0
Description: Robust methods for estimating the parameters of multivariate Gaussian linear models.
License: GPL (>= 2)
Encoding: UTF-8
Imports: Rcpp, foreach, doParallel, mvtnorm,parallel,RSpectra , capushe, KneeArrower, fastmatrix, DescTools
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2024-04-22 17:56:54 UTC; pug56
Author: Antoine Godichon-Baggioni [aut, cre, cph], Stephane Robin [aut], Laure Sansonnet [aut]
Maintainer: Antoine Godichon-Baggioni <antoine.godichon_baggioni@upmc.fr>
Repository: CRAN
Date/Publication: 2024-04-23 09:00:02 UTC

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Package qspray updated to version 3.0.0 with previous version 2.1.1 dated 2023-09-07

Title: Multivariate Polynomials with Rational Coefficients
Description: Symbolic calculation and evaluation of multivariate polynomials with rational coefficients. This package is strongly inspired by the 'spray' package. It provides a function to compute Gröbner bases (reference <doi:10.1007/978-3-319-16721-3>). The header file of the C++ code can be used by other packages. It provides the templated class 'Qspray' that can be used to represent and to deal with multivariate polynomials with another type of coefficients.
Author: Stephane Laurent [aut, cre], Robin Hankin [ctb, cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between qspray versions 2.1.1 dated 2023-09-07 and 3.0.0 dated 2024-04-23

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New package PCBS with initial version 0.1.0
Package: PCBS
Title: Principle Component BiSulfite
Version: 0.1.0
Description: A system for fast, accurate, and flexible whole genome bisulfite sequencing (WGBS) data analysis of two-condition comparisons. Principle Component BiSulfite, 'PCBS', assigns methylated loci eigenvector values from the treatment-delineating principal component in lieu of running millions of pairwise statistical tests, which dramatically increases analysis flexibility and reduces computational requirements. Methods: <https://katlande.github.io/PCBS/articles/Differential_Methylation.html>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
URL: https://github.com/katlande/PCBS
BugReports: https://github.com/katlande/PCBS/issues
Imports: ggplot2, tibble, ggrepel, dplyr, data.table
NeedsCompilation: no
Packaged: 2024-04-22 17:45:12 UTC; kathrynlande
Author: Kathryn Lande [aut, cre, cph]
Maintainer: Kathryn Lande <kathryn.lande@mail.mcgill.ca>
Repository: CRAN
Date/Publication: 2024-04-23 09:00:05 UTC

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Package NMdata updated to version 0.1.6 with previous version 0.1.5 dated 2024-02-21

Title: Preparation, Checking and Post-Processing Data for PK/PD Modeling
Description: Efficient tools for preparation, checking and post-processing of data in PK/PD (pharmacokinetics/pharmacodynamics) modeling, with focus on use of Nonmem. Attention is paid to ensure consistency, traceability, and Nonmem compatibility of Data. Rigorously checks final Nonmem datasets. Implemented in 'data.table', but easily integrated with 'base' and 'tidyverse'.
Author: Philip Delff [aut, cre], Eric Anderson [ctb]
Maintainer: Philip Delff <philip@delff.dk>

Diff between NMdata versions 0.1.5 dated 2024-02-21 and 0.1.6 dated 2024-04-23

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New package GregoryQuadrature with initial version 1.0.0
Package: GregoryQuadrature
Title: Gregory Weights for Function Integration
Version: 1.0.0
Description: Computes Gregory weights for a given number nodes and function order. Anthony Ralston and Philip Rabinowitz (2001) <ISBN:9780486414546>.
License: GPL-3
Encoding: UTF-8
Imports: pracma
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/dhetting/GregoryQuadrature
BugReports: https://github.com/dhetting/GregoryQuadrature/issues
NeedsCompilation: no
Packaged: 2024-04-22 15:59:46 UTC; dhetting
Author: Dylan Hettinger [aut, cre, cph] , Bengt Fornberg [aut]
Maintainer: Dylan Hettinger <dhettinger@mines.edu>
Repository: CRAN
Date/Publication: 2024-04-23 08:40:02 UTC

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Package evd updated to version 2.3-7 with previous version 2.3-6.1 dated 2022-07-04

Title: Functions for Extreme Value Distributions
Description: Extends simulation, distribution, quantile and density functions to univariate and multivariate parametric extreme value distributions, and provides fitting functions which calculate maximum likelihood estimates for univariate and bivariate maxima models, and for univariate and bivariate threshold models.
Author: Alec Stephenson. Function fbvpot by Chris Ferro.
Maintainer: Alec Stephenson <alec_stephenson@hotmail.com>

Diff between evd versions 2.3-6.1 dated 2022-07-04 and 2.3-7 dated 2024-04-23

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Package syt updated to version 0.4.0 with previous version 0.3.0 dated 2023-12-06

Title: Young Tableaux
Description: Deals with Young tableaux (field of combinatorics). For standard Young tabeaux, performs enumeration, counting, random generation, the Robinson-Schensted correspondence, and conversion to and from paths on the Young lattice. Also performs enumeration and counting of semistandard Young tableaux, enumeration of skew semistandard Young tableaux, and computation of Kostka numbers.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package shinyDatetimePickers updated to version 1.2.0 with previous version 1.1.0 dated 2023-08-07

Title: Some Datetime Pickers for 'Shiny'
Description: Provides three types of datetime pickers for usage in a 'Shiny' UI. A datetime picker is an input field for selecting both a date and a time.
Author: Stephane Laurent [aut, cre], Wojciech Maj [cph] ), Porinn [cph] ), Dmitriy Kovalenko [cph] )
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package MAGEE updated to version 1.4.0 with previous version 1.3.2 dated 2023-11-17

Title: Mixed Model Association Test for GEne-Environment Interaction
Description: Use a 'glmmkin' class object (GMMAT package) from the null model to perform generalized linear mixed model-based single-variant and variant set main effect tests, gene-environment interaction tests, and joint tests for association, as proposed in Wang et al. (2020) <DOI:10.1002/gepi.22351>.
Author: Xinyu Wang [aut], Han Chen [aut, cre], Duy Pham [aut], Kenneth Westerman [ctb], Cong Pan [aut], Eric Biggers [ctb, cph] , Tino Reichardt [ctb, cph] library), Meta Platforms, Inc. and affiliates [cph] library)
Maintainer: Han Chen <han.chen.2@uth.tmc.edu>

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Package kantorovich updated to version 3.2.0 with previous version 3.1.0 dated 2023-08-22

Title: Kantorovich Distance Between Probability Measures
Description: Computes the Kantorovich distance between two probability measures on a finite set. The Kantorovich distance is also known as the Monge-Kantorovich distance or the first Wasserstein distance.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package greeks updated to version 1.4.2 with previous version 1.3.5 dated 2024-03-03

Title: Sensitivities of Prices of Financial Options and Implied Volatilities
Description: Methods to calculate sensitivities of financial option prices for European, geometric and arithmetic Asian, and American options, with various payoff functions in the Black Scholes model, and in more general jump diffusion models. A shiny app to interactively plot the results is included. Furthermore, methods to compute implied volatilities are provided for a wide range of option types and custom payoff functions. Classical formulas are implemented for European options in the Black Scholes Model, as is presented in Hull, J. C. (2017), Options, Futures, and Other Derivatives. In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see Hudde, A. & Rüschendorf, L. (2023). European and Asian Greeks for exponential Lévy processes. <doi:10.1007/s11009-023-10014-5>. For American options, the Binomial Tree Method is implemented, as is presented in Hull, J. C. (2017).
Author: Anselm Hudde [aut, cre]
Maintainer: Anselm Hudde <anselmhudde@gmx.de>

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Package ggplot2 updated to version 3.5.1 with previous version 3.5.0 dated 2024-02-23

Title: Create Elegant Data Visualisations Using the Grammar of Graphics
Description: A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
Author: Hadley Wickham [aut] , Winston Chang [aut] , Lionel Henry [aut], Thomas Lin Pedersen [aut, cre] , Kohske Takahashi [aut], Claus Wilke [aut] , Kara Woo [aut] , Hiroaki Yutani [aut] , Dewey Dunnington [aut] , Teun van den Brand [aut] , Posit, PBC [cph, [...truncated...]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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