Tue, 23 Apr 2024

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>

Diff between syt versions 0.3.0 dated 2023-12-06 and 0.4.0 dated 2024-04-23

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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>

Diff between shinyDatetimePickers versions 1.1.0 dated 2023-08-07 and 1.2.0 dated 2024-04-23

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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>

Diff between MAGEE versions 1.3.2 dated 2023-11-17 and 1.4.0 dated 2024-04-23

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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>

Diff between kantorovich versions 3.1.0 dated 2023-08-22 and 3.2.0 dated 2024-04-23

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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>

Diff between greeks versions 1.3.5 dated 2024-03-03 and 1.4.2 dated 2024-04-23

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 README.md                                              |    2 
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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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Package inTrees updated to version 1.4 with previous version 1.3 dated 2022-05-31

Title: Interpret Tree Ensembles
Description: For tree ensembles such as random forests, regularized random forests and gradient boosted trees, this package provides functions for: extracting, measuring and pruning rules; selecting a compact rule set; summarizing rules into a learner; calculating frequent variable interactions; formatting rules in latex code. Reference: Interpreting tree ensembles with inTrees (Houtao Deng, 2019, <doi:10.1007/s41060-018-0144-8>).
Author: Houtao Deng [aut, cre], Xin Guan [aut], Vadim Khotilovich [aut]
Maintainer: Houtao Deng <softwaredeng@gmail.com>

Diff between inTrees versions 1.3 dated 2022-05-31 and 1.4 dated 2024-04-23

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Package CCAMLRGIS updated to version 4.0.8 with previous version 4.0.7 dated 2024-02-05

Title: Antarctic Spatial Data Manipulation
Description: Loads and creates spatial data, including layers and tools that are relevant to the activities of the Commission for the Conservation of Antarctic Marine Living Resources. Provides two categories of functions: load functions and create functions. Load functions are used to import existing spatial layers from the online CCAMLR GIS such as the ASD boundaries. Create functions are used to create layers from user data such as polygons and grids.
Author: Stephane Thanassekos [aut, cre], Keith Reid [aut], Lucy Robinson [aut], Michael D. Sumner [ctb], Roger Bivand [ctb]
Maintainer: Stephane Thanassekos <stephane.thanassekos@ccamlr.org>

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More information about CCAMLRGIS at CRAN
Permanent link

Package estimators (with last version 0.7.3) was removed from CRAN

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

2024-01-08 0.7.3

Permanent link

Mon, 22 Apr 2024

Package VisualizeSimon2Stage updated to version 0.1.4 with previous version 0.1.3 dated 2024-03-20

Title: Visualize Simon's Two-Stage Design
Description: To visualize the probabilities of early termination, fail and success of Simon's two-stage design. To evaluate and visualize the operating characteristics of Simon's two-stage design.
Author: Tingting Zhan [aut, cre, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between VisualizeSimon2Stage versions 0.1.3 dated 2024-03-20 and 0.1.4 dated 2024-04-22

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Package soilDB updated to version 2.8.2 with previous version 2.8.1 dated 2024-01-09

Title: Soil Database Interface
Description: A collection of functions for reading soil data from U.S. Department of Agriculture Natural Resources Conservation Service (USDA-NRCS) and National Cooperative Soil Survey (NCSS) databases.
Author: Dylan Beaudette [aut], Jay Skovlin [aut], Stephen Roecker [aut], Andrew Brown [aut, cre]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>

Diff between soilDB versions 2.8.1 dated 2024-01-09 and 2.8.2 dated 2024-04-22

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Package wconf updated to version 1.1.0 with previous version 1.0.0 dated 2023-12-12

Title: Weighted Confusion Matrix
Description: Allows users to create weighted confusion matrices and accuracy metrics that help with the model selection process for classification problems, where distance from the correct category is important. The package includes several weighting schemes which can be parameterized, as well as custom configuration options. Furthermore, users can decide whether they wish to positively or negatively affect the accuracy score as a result of applying weights to the confusion matrix. Functions are included to calculate accuracy metrics for imbalanced data. Finally, 'wconf' integrates well with the 'caret' package, but it can also work standalone when provided data in matrix form. References: Kuhn, M. (2008) "Building Perspective Models in R Using the caret Package" <doi:10.18637/jss.v028.i05> Monahov, A. (2021) "Model Evaluation with Weighted Threshold Optimization (and the mewto R package)" <doi:10.2139/ssrn.3805911> Starovoitov, V., Golub, Y. (2020). New Function for Estimating Imbalanc [...truncated...]
Author: Alexandru Monahov [aut, cre, cph]
Maintainer: Alexandru Monahov <alexandru.monahov@proton.me>

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Package tidyterra updated to version 0.6.0 with previous version 0.5.2 dated 2024-01-19

Title: 'tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects
Description: Extension of the 'tidyverse' for 'SpatRaster' and 'SpatVector' objects of the 'terra' package. It includes also new 'geom_' functions that provide a convenient way of visualizing 'terra' objects with 'ggplot2'.
Author: Diego Hernangomez [aut, cre, cph] , Dewey Dunnington [ctb] , ggplot2 authors [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package text updated to version 1.2.1 with previous version 1.2.0 dated 2024-02-13

Title: Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning
Description: Link R with Transformers from Hugging Face to transform text variables to word embeddings; where the word embeddings are used to statistically test the mean difference between set of texts, compute semantic similarity scores between texts, predict numerical variables, and visual statistically significant words according to various dimensions etc. For more information see <https://www.r-text.org>.
Author: Oscar Kjell [aut, cre] , Salvatore Giorgi [aut] , Andrew Schwartz [aut]
Maintainer: Oscar Kjell <oscar.kjell@psy.lu.se>

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Package SpaTopic updated to version 1.1.0 with previous version 1.0.1 dated 2024-01-17

Title: Topic Inference to Identify Tissue Architecture in Multiplexed Images
Description: A novel spatial topic model to integrate both cell type and spatial information to identify the complex spatial tissue architecture on multiplexed tissue images without human intervention. The Package implements a collapsed Gibbs sampling algorithm for inference. 'SpaTopic' is scalable to large-scale image datasets without extracting neighborhood information for every single cell. For more details on the methodology, see <https://xiyupeng.github.io/SpaTopic/>.
Author: Xiyu Peng [aut, cre]
Maintainer: Xiyu Peng <pansypeng124@gmail.com>

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Package SNSequate updated to version 1.3-5 with previous version 1.3-4 dated 2022-12-20

Title: Standard and Nonstandard Statistical Models and Methods for Test Equating
Description: Contains functions to perform various models and methods for test equating (Kolen and Brennan, 2014 <doi:10.1007/978-1-4939-0317-7> ; Gonzalez and Wiberg, 2017 <doi:10.1007/978-3-319-51824-4> ; von Davier et. al, 2004 <doi:10.1007/b97446>). It currently implements the traditional mean, linear and equipercentile equating methods. Both IRT observed-score and true-score equating are also supported, as well as the mean-mean, mean-sigma, Haebara and Stocking-Lord IRT linking methods. It also supports newest methods such that local equating, kernel equating (using Gaussian, logistic, Epanechnikov, uniform and adaptive kernels) with presmoothing, and IRT parameter linking methods based on asymmetric item characteristic functions. Functions to obtain both standard error of equating (SEE) and standard error of equating differences between two equating functions (SEED) are also implemented for the kernel method of equating.
Author: Jorge Gonzalez [cre, aut], Daniel Leon Acuna [ctb]
Maintainer: Jorge Gonzalez <jorge.gonzalez@mat.uc.cl>

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Package shinylight updated to version 1.2 with previous version 1.1.2 dated 2022-11-30

Title: Web Interface to 'R' Functions
Description: Web front end for your 'R' functions producing plots or tables. If you have a function or set of related functions, you can make them available over the internet through a web browser. This is the same motivation as the 'shiny' package, but note that the development of 'shinylight' is not in any way linked to that of 'shiny' (beyond the use of the 'httpuv' package). You might prefer 'shinylight' to 'shiny' if you want a lighter weight deployment with easier horizontal scaling, or if you want to develop your front end yourself in JavaScript and HTML just using a lightweight remote procedure call interface to your R code on the server.
Author: Pieter Vermeesch [aut], Tim Band [aut, cre]
Maintainer: Tim Band <t.band@ucl.ac.uk>

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Package ruijter updated to version 0.1.3 with previous version 0.1.2 dated 2023-02-08

Title: Technical Data Sets by Ruijter et al. (2013)
Description: The real-time quantitative polymerase chain reaction (qPCR) technical data sets by Ruijter et al. (2013) <doi:10.1016/j.ymeth.2012.08.011>: (i) the four-point 10-fold dilution series; (ii) 380 replicates; and (iii) the competimer data set. These three data sets can be used to benchmark qPCR methods. Original data set is available at <https://medischebiologie.nl/wp-content/uploads/2019/02/qpcrdatamethods.zip>. This package fixes incorrect annotations in the original data sets.
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>

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Package vermeulen updated to version 0.1.2 with previous version 0.1.1 dated 2022-11-10

Title: Biomarker Data Set by Vermeulen et al. (2009)
Description: The biomarker data set by Vermeulen et al. (2009) <doi:10.1016/S1470-2045(09)70154-8> is provided. The data source, however, is by Ruijter et al. (2013) <doi:10.1016/j.ymeth.2012.08.011>. The original data set may be downloaded from <https://medischebiologie.nl/wp-content/uploads/2019/02/qpcrdatamethods.zip>. This data set is for a real-time quantitative polymerase chain reaction (PCR) experiment that comprises the raw fluorescence data of 24,576 amplification curves. This data set comprises 59 genes of interest and 5 reference genes. Each gene was assessed on 366 neuroblastoma complementary DNA (cDNA) samples and on 18 standard dilution series samples (10-fold 5-point dilution series x 3 replicates + no template controls (NTC) x 3 replicates).
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>

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Package rutledge updated to version 0.1.1 with previous version 0.1.0 dated 2023-02-27

Title: Real-Time PCR Data Sets by Rutledge et al. (2004)
Description: Real-time quantitative polymerase chain reaction (qPCR) data by Rutledge et al. (2004) <doi:10.1093/nar/gnh177> in tidy format. The data comprises a six-point, ten-fold dilution series, repeated in five independent runs, for two different amplicons. In each run, each standard concentration is replicated four times. For the original raw data file see the Supplementary Data section: <https://academic.oup.com/nar/article/32/22/e178/2375678#supplementary-data>.
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>

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Package RivRetrieve updated to version 0.1.5 with previous version 0.1.4 dated 2024-03-02

Title: Retrieve Global River Gauge Data
Description: Provides access to global river gauge data from a variety of national-level river agencies. The package interfaces with the national-level agency websites to provide access to river gauge locations, river discharge, and river stage. Currently, the package is available for the following countries: Australia, Brazil, Canada, Chile, France, Japan, South Africa, the United Kingdom, and the United States.
Author: Ryan Riggs [aut, cre] , Simon Moulds [aut] , Michel Wortmann [aut] , Louise Slater [aut] , George Allen [aut]
Maintainer: Ryan Riggs <ryanriggs7@gmail.com>

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Package reticulate updated to version 1.36.1 with previous version 1.36.0 dated 2024-04-15

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Tomasz Kalinowski [ctb, cre], Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] , Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package batsch updated to version 0.1.1 with previous version 0.1.0 dated 2023-02-14

Title: Real-Time PCR Data Sets by Batsch et al. (2008)
Description: Real-time quantitative polymerase chain reaction (qPCR) data sets by Batsch et al. (2008) <doi:10.1186/1471-2105-9-95>. This package provides five data sets, one for each PCR target: (i) rat SLC6A14, (ii) human SLC22A13, (iii) pig EMT, (iv) chicken ETT, and (v) human GAPDH. Each data set comprises a five-point, four-fold dilution series. For each concentration there are three replicates. Each amplification curve is 45 cycles long. Original raw data file: <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-9-95/MediaObjects/12859_2007_2080_MOESM5_ESM.xls>.
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>

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Package EGAnet updated to version 2.0.6 with previous version 2.0.5 dated 2024-03-15

Title: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics
Description: Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA estimates the number of dimensions in psychological data using network estimation methods and community detection algorithms. A bootstrap method is provided to assess the stability of dimensions and items. Fit is evaluated using the Entropy Fit family of indices. Unique Variable Analysis evaluates the extent to which items are locally dependent (or redundant). Network loadings provide similar information to factor loadings and can be used to compute network scores. A bootstrap and permutation approach are available to assess configural and metric invariance. Hierarchical structures can be detected using Hierarchical EGA. Time series and intensive longitudinal data can be analyzed using Dynamic EGA, supporting individual, group, and population level assessments.
Author: Hudson Golino [aut, cre] , Alexander Christensen [aut] , Robert Moulder [ctb] , Luis E. Garrido [ctb] , Laura Jamison [ctb] , Dingjing Shi [ctb]
Maintainer: Hudson Golino <hfg9s@virginia.edu>

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Package WVPlots updated to version 1.3.8 with previous version 1.3.7 dated 2023-08-19

Title: Common Plots for Analysis
Description: Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'. Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions, conditioned scatter plot with marginal densities, box and stem with matching theoretical distribution, and density with matching theoretical distribution.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package plsVarSel updated to version 0.9.11 with previous version 0.9.10 dated 2023-01-12

Title: Variable Selection in Partial Least Squares
Description: Interfaces and methods for variable selection in Partial Least Squares. The methods include filter methods, wrapper methods and embedded methods. Both regression and classification is supported.
Author: Kristian Hovde Liland [aut, cre] , Tahir Mehmood [ctb], Solve Saeboe [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package lares updated to version 5.2.7 with previous version 5.2.5 dated 2024-01-22

Title: Analytics & Machine Learning Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or extensive R programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

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Package gtable updated to version 0.3.5 with previous version 0.3.4 dated 2023-08-21

Title: Arrange 'Grobs' in Tables
Description: Tools to make it easier to work with "tables" of 'grobs'. The 'gtable' package defines a 'gtable' grob class that specifies a grid along with a list of grobs and their placement in the grid. Further the package makes it easy to manipulate and combine 'gtable' objects so that complex compositions can be built up sequentially.
Author: Hadley Wickham [aut], Thomas Lin Pedersen [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package BayesMallows updated to version 2.2.1 with previous version 2.2.0 dated 2024-04-19

Title: Bayesian Preference Learning with the Mallows Rank Model
Description: An implementation of the Bayesian version of the Mallows rank model (Vitelli et al., Journal of Machine Learning Research, 2018 <https://jmlr.org/papers/v18/15-481.html>; Crispino et al., Annals of Applied Statistics, 2019 <doi:10.1214/18-AOAS1203>; Sorensen et al., R Journal, 2020 <doi:10.32614/RJ-2020-026>; Stein, PhD Thesis, 2023 <https://eprints.lancs.ac.uk/id/eprint/195759>). Both Metropolis-Hastings and sequential Monte Carlo algorithms for estimating the models are available. Cayley, footrule, Hamming, Kendall, Spearman, and Ulam distances are supported in the models. The rank data to be analyzed can be in the form of complete rankings, top-k rankings, partially missing rankings, as well as consistent and inconsistent pairwise preferences. Several functions for plotting and studying the posterior distributions of parameters are provided. The package also provides functions for estimating the partition function (normalizing constant) of the Mallows rank mo [...truncated...]
Author: Oystein Sorensen [aut, cre] , Waldir Leoncio [aut], Valeria Vitelli [aut] , Marta Crispino [aut], Qinghua Liu [aut], Cristina Mollica [aut], Luca Tardella [aut], Anja Stein [aut]
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>

Diff between BayesMallows versions 2.2.0 dated 2024-04-19 and 2.2.1 dated 2024-04-22

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Package antaresRead updated to version 2.6.1 with previous version 2.6.0 dated 2023-08-30

Title: Import, Manipulate and Explore the Results of an 'Antares' Simulation
Description: Import, manipulate and explore results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here : <https://antares-simulator.org/>).
Author: Tatiana Vargas [aut, cre], Jalal-Edine ZAWAM [aut], Frederic Breant [ctb], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], Victor Perrier [ctb], Etienne Sanchez [ctb], Assil Mansouri [ctb], Clement Berthet [ctb], Kamel Kemiha [c [...truncated...]
Maintainer: Tatiana Vargas <tatiana.vargas@rte-france.com>

Diff between antaresRead versions 2.6.0 dated 2023-08-30 and 2.6.1 dated 2024-04-22

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Package WorldMapR updated to version 0.1.1 with previous version 0.1.0 dated 2024-02-13

Title: Worldwide or Coordinates-Based Heat Maps
Description: Easily plot heat maps of the world, based on continuous or categorical data. Country labels can also be added to the map.
Author: Luigi Annicchiarico [cre, aut]
Maintainer: Luigi Annicchiarico <luigi.annic@gmail.com>

Diff between WorldMapR versions 0.1.0 dated 2024-02-13 and 0.1.1 dated 2024-04-22

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Package tidyBdE updated to version 0.3.6 with previous version 0.3.5 dated 2024-01-29

Title: Download Data from Bank of Spain
Description: Tools to download data series from 'Banco de España' ('BdE') on 'tibble' format. 'Banco de España' is the national central bank and, within the framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the Spanish banking system along with the European Central Bank. This package is in no way sponsored endorsed or administered by 'Banco de España'.
Author: Diego H. Herrero [aut, cre, cph]
Maintainer: Diego H. Herrero <dev.dieghernan@gmail.com>

Diff between tidyBdE versions 0.3.5 dated 2024-01-29 and 0.3.6 dated 2024-04-22

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New package Clustering with initial version 1.7.10
Package: Clustering
Title: Techniques for Evaluating Clustering
Description: The design of this package allows us to run different clustering packages and compare the results between them, to determine which algorithm behaves best from the data provided. See Martos, L.A.P., García-Vico, Á.M., González, P. et al.(2023) <doi:10.1007/s13748-022-00294-2> "Clustering: an R library to facilitate the analysis and comparison of cluster algorithms.", Martos, L.A.P., García-Vico, Á.M., González, P. et al. "A Multiclustering Evolutionary Hyperrectangle-Based Algorithm" <doi:10.1007/s44196-023-00341-3> and L.A.P., García-Vico, Á.M., González, P. et al. "An Evolutionary Fuzzy System for Multiclustering in Data Streaming" <doi:10.1016/j.procs.2023.12.058>.
Version: 1.7.10
Date: 2024-04-20
Author: Luis Alfonso Perez Martos [aut, cre]
Maintainer: Luis Alfonso Perez Martos <lapm0001@gmail.com>
URL: https://github.com/laperez/clustering
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Repository: CRAN
Imports: amap, apcluster, cluster, ClusterR, data.table, dplyr, foreach, future, ggplot2, gmp, methods, pracma, pvclust, shiny, sqldf, stats, tools, utils, xtable, toOrdinal
Suggests: DT, shinyalert, shinyFiles, shinyjs, shinythemes, shinyWidgets, tidyverse, shinycssloaders
NeedsCompilation: no
Packaged: 2024-04-22 18:47:54 UTC; luis
Depends: R (>= 3.5.0)
Date/Publication: 2024-04-22 19:10:11 UTC

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Package cheapr updated to version 0.9.0 with previous version 0.8.0 dated 2024-04-12

Title: Simple Functions to Save Time and Memory
Description: Fast and memory-efficient (or 'cheap') tools to facilitate efficient programming, saving time and memory. It aims to provide 'cheaper' alternatives to common base R functions, as well as some additional functions.
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

Diff between cheapr versions 0.8.0 dated 2024-04-12 and 0.9.0 dated 2024-04-22

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New package basecamb with initial version 1.1.5
Package: basecamb
Title: Utilities for Streamlined Data Import, Imputation and Modelling
Version: 1.1.5
Description: Provides functions streamlining the data analysis workflow: Outsourcing data import, renaming and type casting to a *.csv. Manipulating imputed datasets and fitting models on them. Summarizing models.
Depends: R (>= 4.0.0)
Imports: assertthat, dplyr, mice, Hmisc, survival, stats, purrr, MASS, sae
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), rms
URL: https://CRAN.R-project.org/package=basecamb, https://github.com/codeblue-team/basecamb
BugReports: https://github.com/codeblue-team/basecamb/issues
NeedsCompilation: no
Packaged: 2024-04-21 17:58:45 UTC; Peter
Author: J. Peter Marquardt [aut, cre] , Till D. Best [aut]
Maintainer: J. Peter Marquardt <peter@kmarquardt.de>
Repository: CRAN
Date/Publication: 2024-04-22 19:10:07 UTC

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Package valr updated to version 0.8.1 with previous version 0.8.0 dated 2024-04-04

Title: Genome Interval Arithmetic
Description: Read and manipulate genome intervals and signals. Provides functionality similar to command-line tool suites within R, enabling interactive analysis and visualization of genome-scale data. Riemondy et al. (2017) <doi:10.12688/f1000research.11997.1>.
Author: Jay Hesselberth [aut] , Kent Riemondy [aut, cre] , RNA Bioscience Initiative [fnd, cph]
Maintainer: Kent Riemondy <kent.riemondy@cuanschutz.edu>

Diff between valr versions 0.8.0 dated 2024-04-04 and 0.8.1 dated 2024-04-22

 DESCRIPTION        |    7 ++++---
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 5 files changed, 14 insertions(+), 10 deletions(-)

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New package tidylda with initial version 0.0.5
Package: tidylda
Title: Latent Dirichlet Allocation Using 'tidyverse' Conventions
Version: 0.0.5
Description: Implements an algorithm for Latent Dirichlet Allocation (LDA), Blei et at. (2003) <https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf>, using style conventions from the 'tidyverse', Wickham et al. (2019)<doi:10.21105/joss.01686>, and 'tidymodels', Kuhn et al.<https://tidymodels.github.io/model-implementation-principles/>. Fitting is done via collapsed Gibbs sampling. Also implements several novel features for LDA such as guided models and transfer learning based on ongoing and, as yet, unpublished research.
License: MIT + file LICENSE
URL: https://github.com/TommyJones/tidylda/
BugReports: https://github.com/TommyJones/tidylda/issues
Depends: R (>= 3.5.0)
Imports: dplyr, generics, gtools, Matrix, methods, mvrsquared (>= 0.1.0), Rcpp (>= 1.0.2), rlang, stats, stringr, tibble, tidyr, tidytext
Suggests: ggplot2, knitr, parallel, quanteda, testthat, tm, slam, spelling, covr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, RcppThread
Encoding: UTF-8
Language: en-US
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-04-20 21:24:04 UTC; tommy
Author: Tommy Jones [aut, cre] , Brendan Knapp [ctb] , Barum Park [ctb]
Maintainer: Tommy Jones <jones.thos.w@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-22 18:20:02 UTC

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New package slca with initial version 1.0.0
Package: slca
Title: Structural Modeling for Multiple Latent Class Variables
Version: 1.0.0
Maintainer: Youngsun Kim <yskstat@gmail.com>
Description: Provides comprehensive tools for the implementation of Structural Latent Class Models (SLCM), including Latent Transition Analysis (LTA; Linda M. Collins and Stephanie T. Lanza, 2009) <doi:10.1002/9780470567333>, Latent Class Profile Analysis (LCPA; Hwan Chung et al., 2010) <doi:10.1111/j.1467-985x.2010.00674.x>, and Joint Latent Class Analysis (JLCA; Saebom Jeon et al., 2017) <doi:10.1080/10705511.2017.1340844>, and any other extended models involving multiple latent class variables.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
Imports: DiagrammeR, magrittr, MASS, Rcpp, stats
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2024-04-20 20:00:31 UTC; kim0sun
Author: Youngsun Kim [aut, cre] , Hwan Chung [aut]
Repository: CRAN
Date/Publication: 2024-04-22 18:42:39 UTC

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New package Rtwobitlib with initial version 0.3.5
Package: Rtwobitlib
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.
URL: https://github.com/hpages/Rtwobitlib
BugReports: https://github.com/hpages/Rtwobitlib/issues
Version: 0.3.5
License: MIT + file LICENSE
Encoding: UTF-8
Imports: tools
Suggests: testthat, knitr, rmarkdown
SystemRequirements: GNU make
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-04-20 06:42:19 UTC; hpages
Author: Herve Pages [aut, cre], UC Regents [cph]
Maintainer: Herve Pages <hpages.on.github@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-22 18:32:43 UTC

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New package PanelTM with initial version 1.0
Package: PanelTM
Title: Two- And Three-Way Dynamic Panel Threshold Regression Model for Change Point Detection
Version: 1.0
Maintainer: F. Marta L. Di Lascio <marta.dilascio@unibz.it>
Description: Estimation of two- and three-way dynamic panel threshold regression models (Di Lascio and Perazzini (2024) <https://repec.unibz.it/bemps104.pdf>; Di Lascio and Perazzini (2022, ISBN:978-88-9193-231-0); Seo and Shin (2016) <doi:10.1016/j.jeconom.2016.03.005>) through the generalized method of moments based on the first difference transformation and the use of instrumental variables. The models can be used to find a change point detection in the time series. In addition, random number generation is also implemented.
License: GPL (>= 2)
Depends: R (>= 4.3.0), methods, stats, pracma
Imports:
NeedsCompilation: no
Packaged: 2024-04-20 13:37:37 UTC; FDiLascio
Author: Selene Perazzini [aut], F. Marta L. Di Lascio [aut, cre]
Repository: CRAN
Date/Publication: 2024-04-22 18:42:42 UTC

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New package guescini with initial version 0.1.0
Package: guescini
Title: Real-Time PCR Data Sets by Guescini et al. (2008)
Version: 0.1.0
Description: Real-time quantitative polymerase chain reaction (qPCR) data by Guescini et al. (2008) <doi:10.1186/1471-2105-9-326> in tidy format. This package provides two data sets where the amplification efficiency has been modulated: either by changing the amplification mix concentration, or by increasing the concentration of IgG, a PCR inhibitor. Original raw data files: <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-9-326/MediaObjects/12859_2008_2311_MOESM1_ESM.xls> and <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-9-326/MediaObjects/12859_2008_2311_MOESM5_ESM.xls>.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
URL: https://github.com/ramiromagno/guescini, https://rmagno.eu/guescini/
BugReports: https://github.com/ramiromagno/guescini/issues
Depends: R (>= 2.10)
Imports: tibble
NeedsCompilation: no
Packaged: 2024-04-21 00:22:31 UTC; rmagno
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>
Repository: CRAN
Date/Publication: 2024-04-22 18:50:02 UTC

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New package drclust with initial version 0.1
Package: drclust
Title: Simultaneous Clustering and (or) Dimensionality Reduction
Version: 0.1
Date: 2024-04-19
Description: Methods for simultaneous clustering and dimensionality reduction such as: Double k-means, Reduced k-means, Factorial k-means, Clustering with Disjoint PCA but also methods for exclusively dimensionality reduction: Disjoint PCA, Disjoint FA. The statistical methods implemented refer to the following articles: de Soete G., Carroll J. (1994) "K-means clustering in a low-dimensional Euclidean space" <doi:10.1007/978-3-642-51175-2_24> ; Vichi M. (2001) "Double k-means Clustering for Simultaneous Classification of Objects and Variables" <doi:10.1007/978-3-642-59471-7_6> ; Vichi M., Kiers H.A.L. (2001) "Factorial k-means analysis for two-way data" <doi:10.1016/S0167-9473(00)00064-5> ; Vichi M., Saporta G. (2009) "Clustering and disjoint principal component analysis" <doi:10.1016/j.csda.2008.05.028> ; Vichi M. (2017) "Disjoint factor analysis with cross-loadings" <doi:10.1007/s11634-016-0263-9>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Rcpp, RcppArmadillo, fpc, cluster, factoextra, pheatmap
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2024-04-19 15:48:27 UTC; Ionel
Author: Ionel Prunila [aut, cre], Maurizio Vichi [aut]
Maintainer: Ionel Prunila <ionel.prunila@uniroma1.it>
Repository: CRAN
Date/Publication: 2024-04-22 18:22:47 UTC

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New package donutsk with initial version 0.1.1
Package: donutsk
Title: Construct Advanced Donut Charts
Version: 0.1.1
Description: Build donut/pie charts with 'ggplot2' layer by layer, exploiting the advantages of polar symmetry. Leverage layouts to distribute labels effectively. Connect labels to donut segments using pins. Streamline annotation and highlighting.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/dkibalnikov/donutsk, https://dkibalnikov.github.io/donutsk/
BugReports: https://github.com/dkibalnikov/donutsk/issues
Depends: ggplot2 (>= 3.5.0), R (>= 4.2.0)
Imports: dplyr (>= 1.1.2), glue (>= 1.6.2), rlang (>= 1.1.1)
Suggests: knitr, rmarkdown, scales (>= 1.3.0), stringr (>= 1.5.0), testthat (>= 3.0.0), tidyr (>= 1.3.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-21 10:42:22 UTC; Dmitrii_Kibalnikov
Author: Dmitry Kibalnikov [aut, cre, cph]
Maintainer: Dmitry Kibalnikov <d.kibalnikov@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-22 18:50:06 UTC

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New package aifeducation with initial version 0.3.3
Package: aifeducation
Title: Artificial Intelligence for Education
Version: 0.3.3
Description: In social and educational settings, the use of Artificial Intelligence (AI) is a challenging task. Relevant data is often only available in handwritten forms, or the use of data is restricted by privacy policies. This often leads to small data sets. Furthermore, in the educational and social sciences, data is often unbalanced in terms of frequencies. To support educators as well as educational and social researchers in using the potentials of AI for their work, this package provides a unified interface for neural nets in 'keras', 'tensorflow', and 'pytorch' to deal with natural language problems. In addition, the package ships with a shiny app, providing a graphical user interface. This allows the usage of AI for people without skills in writing python/R scripts. The tools integrate existing mathematical and statistical methods for dealing with small data sets via pseudo-labeling (e.g. Lee (2013) <https://www.researchgate.net/publication/280581078_Pseudo-Label_The_Simple_and_Efficie [...truncated...]
License: GPL-3
URL: https://fberding.github.io/aifeducation/
BugReports: https://github.com/cran/aifeducation/issues
Depends: R (>= 3.5.0)
Imports: abind, foreach, doParallel, iotarelr(>= 0.1.5), irr, irrCAC, methods, Rcpp (>= 1.0.10), reshape2, reticulate (>= 1.34.0), smotefamily, stringr, rlang, utils
Suggests: text2vec, tidytext, topicmodels, udpipe, quanteda, knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, shiny, shinyFiles, shinyWidgets, shinydashboard, shinyjs, fs, readtext, readxl
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2024-04-20 19:54:50 UTC; WissMit
Author: Berding Florian [aut, cre] , Pargmann Julia [ctb], Riebenbauer Elisabeth [ctb], Rebmann Karin [ctb], Slopinski Andreas [ctb]
Maintainer: Berding Florian <florian.berding@uni-hamburg.de>
Repository: CRAN
Date/Publication: 2024-04-22 18:22:50 UTC

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Package atime updated to version 2024.4.17 with previous version 2024.4.12 dated 2024-04-13

Title: Asymptotic Timing
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

Diff between atime versions 2024.4.12 dated 2024-04-13 and 2024.4.17 dated 2024-04-22

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Package gofastr (with last version 0.3.0) was removed from CRAN

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

2017-12-16 0.3.0
2017-02-19 0.2.1
2017-01-01 0.1.1

Permanent link
Package xlcharts updated to version 0.0.2 with previous version 0.0.1 dated 2024-04-18

Title: Create Native 'Excel' Charts and Work with Microsoft 'Excel' Files
Description: An R interface to the 'OpenPyXL' 'Python' library to create native 'Excel' charts and work with Microsoft 'Excel' files.
Author: Felix Luginbuhl [aut, cre, cph] , Eric Gazoni [ctb, cph] ), Charlie Clark [ctb, cph] ), openpyxl authors [ctb, cph] )
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

Diff between xlcharts versions 0.0.1 dated 2024-04-18 and 0.0.2 dated 2024-04-22

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New package TreeRingShape with initial version 3.0.3
Package: TreeRingShape
Title: Recording Tree-Ring Shapes of Tree Disks with Manual Digitizing and Interpolating Model
Version: 3.0.3
Maintainer: Megumi ISHIDA <ishidam@sanchikanri.com>
Description: Record all tree-ring Shapefile of tree disk with GIS soft ('Qgis'<https://www.qgis.org/en/site/>) and interpolating model from high resolution tree disk image.
License: GPL (>= 2)
Depends: R (>= 3.6.2)
Imports: methods, sf
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
URL: https://github.com/ishidamgm/TreeRingShape, https://ishidamgm.github.io/TreeRingShape/, https://www.sanchikanri.com/treering/TreeRingShape.html
BugReports: https://github.com/ishidamgm/TreeRingShape/issues
NeedsCompilation: no
Packaged: 2024-04-19 21:09:17 UTC; i
Author: Megumi ISHIDA [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-04-22 15:12:37 UTC

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Package rocbc updated to version 3.1.0 with previous version 3.0.0 dated 2024-03-25

Title: Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves
Description: Generation of Box-Cox based ROC curves and several aspects of inferences and hypothesis testing. Can be used when inferences for one biomarker (Bantis LE, Nakas CT, Reiser B. (2018)<doi:10.1002/bimj.201700107>) are of interest or when comparisons of two correlated biomarkers (Bantis LE, Nakas CT, Reiser B. (2021)<doi:10.1002/bimj.202000128>) are of interest. Provides inferences and comparisons around the AUC, the Youden index, the sensitivity at a given specificity level (and vice versa), the optimal operating point of the ROC curve (in the Youden sense), and the Youden based cutoff.
Author: Leonidas Bantis [aut], Benjamin Brewer [cre, ctb], Christos Nakas [ctb], Benjamin Reiser [ctb]
Maintainer: Benjamin Brewer <tennisbenj@gmail.com>

Diff between rocbc versions 3.0.0 dated 2024-03-25 and 3.1.0 dated 2024-04-22

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Package nimbleAPT updated to version 1.0.5 with previous version 1.0.4 dated 2021-11-22

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>

Diff between nimbleAPT versions 1.0.4 dated 2021-11-22 and 1.0.5 dated 2024-04-22

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New package ViSe with initial version 0.1.2
Package: ViSe
Title: Visualizing Sensitivity
Version: 0.1.2
Depends: R (>= 3.1.0)
Imports: stats, ggplot2, methods, dplyr, tidyr, scales, cowplot, shiny
Maintainer: Erin M. Buchanan <buchananlab@gmail.com>
Description: Designed to help the user to determine the sensitivity of an proposed causal effect to unconsidered common causes. Users can create visualizations of sensitivity, effect sizes, and determine which pattern of effects would support a causal claim for between group differences. Number needed to treat formula from Kraemer H.C. & Kupfer D.J. (2006) <doi:10.1016/j.biopsych.2005.09.014>.
License: LGPL-3
Encoding: UTF-8
URL: http://www.aggieerin.com/ViSe/
Suggests: knitr, rmarkdown, plotly
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-19 13:06:05 UTC; erinbuchanan
Author: Erin M. Buchanan [aut, cre]
Repository: CRAN
Date/Publication: 2024-04-22 14:32:33 UTC

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New package TrendLSW with initial version 1.0.1
Package: TrendLSW
Title: Wavelet Methods for Analysing Locally Stationary Time Series
Version: 1.0.1
Depends: R (>= 4.1.0)
Maintainer: Euan T. McGonigle <e.t.mcgonigle@soton.ac.uk>
Description: Fitting models for, and simulation of, trend locally stationary wavelet (TLSW) time series models, which take account of time-varying trend and dependence structure in a univariate time series. The TLSW model, and its estimation, is described in McGonigle, Killick and Nunes (2022a) <doi:10.1111/jtsa.12643>, (2022b) <doi:10.1214/22-EJS2044>. New users will likely want to start with the TLSW function.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: wavethresh, locits
URL: https://github.com/EuanMcGonigle/TrendLSW
BugReports: https://github.com/EuanMcGonigle/TrendLSW/issues
Suggests: testthat (>= 3.0.0), vdiffr
NeedsCompilation: no
Packaged: 2024-04-19 15:27:32 UTC; euanmcgonigle
Author: Euan T. McGonigle [aut, cre], Rebecca Killick [aut], Matthew Nunes [aut]
Repository: CRAN
Date/Publication: 2024-04-22 14:42:38 UTC

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New package sim.BA with initial version 0.1.0
Package: sim.BA
Title: Simulation-Based Bias Analysis for Observational Studies
Version: 0.1.0
Description: Allows user to conduct a simulation based quantitative bias analysis using covariate structures generated with individual-level data to characterize the bias arising from unmeasured confounding. Users can specify their desired data generating mechanisms to simulate data and quantitatively summarize findings in an end-to-end application using this package.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Encoding: UTF-8
Imports: chk (>= 0.9.1), cobalt (>= 4.5.3), ggplot2 (>= 3.4.4), scales (>= 1.3.0), pbapply (>= 1.7-2), rlang (>= 1.1.3), stats, survival, utils
Suggests: MatchIt (>= 4.5.5), WeightIt (>= 0.14.2), parallel, openxlsx (>= 4.2.5.2), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-18 14:18:22 UTC; NoahGreifer
Author: Rishi Desai [aut, cre] , Noah Greifer [aut]
Maintainer: Rishi Desai <rdesai@bwh.harvard.edu>
Repository: CRAN
Date/Publication: 2024-04-22 14:42:35 UTC

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Package evreg updated to version 1.0.4 with previous version 1.0.3 dated 2023-11-09

Title: Evidential Regression
Description: An implementation of the 'Evidential Neural Network for Regression' model recently introduced in Denoeux (2023) <doi:10.1109/TFUZZ.2023.3268200>. In this model, prediction uncertainty is quantified by Gaussian random fuzzy numbers as introduced in Denoeux (2023) <doi:10.1016/j.fss.2022.06.004>. The package contains functions for training the network, tuning hyperparameters by cross-validation or the hold-out method, and making predictions. It also contains utilities for making calculations with Gaussian random fuzzy numbers (such as, e.g., computing the degrees of belief and plausibility of an interval, or combining Gaussian random fuzzy numbers).
Author: Thierry Denoeux [aut, cre]
Maintainer: Thierry Denoeux <tdenoeux@utc.fr>

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Package diseasystore updated to version 0.2.1 with previous version 0.2.0 dated 2024-03-20

Title: Feature Stores for the 'diseasy' Framework
Description: Simple feature stores and tools for creating personalised feature stores. 'diseasystore' powers feature stores which can automatically link and aggregate features to a given stratification level. These feature stores are automatically time-versioned (powered by the 'SCDB' package) and allows you to easily and dynamically compute features as part of your continuous integration.
Author: Rasmus Skytte Randloev [aut, cre] , Marcus Munch Gruenewald [ctb] , Kaare Graesboell [rev] , Kasper Schou Telkamp [rev] , Lasse Engbo Christiansen [rev] , Sofia Myrup Otero [rev], Statens Serum Institut, SSI [cph, fnd]
Maintainer: Rasmus Skytte Randloev <rske@ssi.dk>

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New package ConfidenceEllipse with initial version 1.0.0
Package: ConfidenceEllipse
Title: Computation of 2D and 3D Elliptical Joint Confidence Regions
Version: 1.0.0
Maintainer: Christian L. Goueguel <christian.goueguel@gmail.com>
Description: Computing elliptical joint confidence regions at a specified confidence level. It provides the flexibility to estimate either classical or robust confidence regions, which can be visualized in 2D or 3D plots. The classical approach assumes normality and uses the mean and covariance matrix to define the confidence regions. Alternatively, the robustified version employs estimators like minimum covariance determinant (MCD) and M-estimator, making them less sensitive to outliers and departures from normality. Furthermore, the functions allow users to group the dataset based on categorical variables and estimate separate confidence regions for each group. This capability is particularly useful for exploring potential differences or similarities across subgroups within a dataset. Varmuza and Filzmoser (2009, ISBN:978-1-4200-5947-2). Johnson and Wichern (2007, ISBN:0-13-187715-1). Raymaekers and Rousseeuw (2019) <DOI:10.1080/00401706.2019.1677270>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: cellWise, dplyr, forcats, ggplot2, magrittr, pcaPP, purrr, rgl, rlang, stats, tibble, tidyr, tidyselect
URL: https://christiangoueguel.github.io/ConfidenceEllipse/, https://github.com/ChristianGoueguel/ConfidenceEllipse
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
Language: en-US
BugReports: https://github.com/ChristianGoueguel/ConfidenceEllipse/issues
NeedsCompilation: no
Packaged: 2024-04-19 16:55:15 UTC; christiangoueguel
Author: Christian L. Goueguel [aut, cre]
Repository: CRAN
Date/Publication: 2024-04-22 14:52:38 UTC

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Package sgboost updated to version 0.1.2 with previous version 0.1.0 dated 2024-04-11

Title: Sparse-Group Boosting
Description: Sparse-group boosting to be used in conjunction with the 'mboost' for modeling grouped data. Applicable to all sparse-group lasso type problems where within-group and between-group sparsity is desired. Interprets and visualizes individual variables and groups.
Author: Fabian Obster [aut, cre, cph]
Maintainer: Fabian Obster <fabian.obster@unibw.de>

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Package RainfallErosivityFactor updated to version 1.0.0 with previous version 0.1.0 dated 2018-11-18

Title: The Rainfall-Runoff Erosivity Factor
Description: Determination of rainfall-runoff erosivity factor.
Author: Dione Pereira Cardoso [aut, cre], Edilson Marcelino Silva [aut], Paulo Cesar Ossani [aut], Marx Leandro Naves Silva [ctb], Joel Augusto Muniz [ctb], Daniel Furtado Ferreira [ctb], Junior Cesar Avanzi [ctb]
Maintainer: Dione Pereira Cardoso <cardoso.dione@gmail.com>

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Package lrstat updated to version 0.2.5 with previous version 0.2.4 dated 2024-03-19

Title: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond
Description: Performs power and sample size calculation for non-proportional hazards model using the Fleming-Harrington family of weighted log-rank tests. The sequentially calculated log-rank test score statistics are assumed to have independent increments as characterized in Anastasios A. Tsiatis (1982) <doi:10.1080/01621459.1982.10477898>. The mean and variance of log-rank test score statistics are calculated based on Kaifeng Lu (2021) <doi:10.1002/pst.2069>. The boundary crossing probabilities are calculated using the recursive integration algorithm described in Christopher Jennison and Bruce W. Turnbull (2000, ISBN:0849303168). The package can also be used for continuous, binary, and count data. For continuous data, it can handle missing data through mixed-model for repeated measures (MMRM). In crossover designs, it can estimate direct treatment effects while accounting for carryover effects. For binary data, it can design Simon's 2-stage, modified toxicity probability-2 (mTPI-2), a [...truncated...]
Author: Kaifeng Lu
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

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Package ern updated to version 2.0.0 with previous version 1.3.1 dated 2024-01-29

Title: Effective Reproduction Number Estimation
Description: Estimate the effective reproduction number from wastewater and clinical data sources.
Author: David Champredon [aut, cre] , Warsame Yusuf [aut] , Irena Papst [aut]
Maintainer: David Champredon <david.champredon@canada.ca>

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Package LipidomicsR updated to version 0.3.6 with previous version 0.1.6 dated 2024-03-16

Title: Elegant Tools for Processing and Visualization of Lipidomics Data
Description: An elegant tool for processing and visualizing lipidomics data generated by mass spectrometry. 'LipidomicsR' simplifies channel and replicate handling while providing thorough lipid species annotation. Its visualization capabilities encompass principal components analysis plots, heatmaps, volcano plots, and radar plots, enabling concise data summarization and quality assessment. Additionally, it can generate bar plots and line plots to visualize the abundance of each lipid species.
Author: Mingshi Li [aut, com], Hengyu Zhu [aut, cre]
Maintainer: Hengyu Zhu <hengyu.21@intl.zju.edu.cn>

Diff between LipidomicsR versions 0.1.6 dated 2024-03-16 and 0.3.6 dated 2024-04-22

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Package fabletools updated to version 0.4.2 with previous version 0.4.1 dated 2024-03-02

Title: Core Tools for Packages in the 'fable' Framework
Description: Provides tools, helpers and data structures for developing models and time series functions for 'fable' and extension packages. These tools support a consistent and tidy interface for time series modelling and analysis.
Author: Mitchell O'Hara-Wild [aut, cre] , Rob Hyndman [aut], Earo Wang [aut] , Di Cook [ctb], George Athanasopoulos [ctb], David Holt [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package ripc updated to version 0.3.0 with previous version 0.2.1 dated 2024-03-15

Title: Download and Tidy IPC and CH Data
Description: Utilities to access Integrated Food Security Phase Classification (IPC) and Cadre Harmonisé (CH) food security data. Wrapper functions are available for all of the 'IPC-CH' Public API (<https://docs.api.ipcinfo.org>) simplified and advanced endpoints to easily download the data in a clean and tidy format.
Author: Seth Caldwell [aut, cre, cph]
Maintainer: Seth Caldwell <caldwellst@gmail.com>

Diff between ripc versions 0.2.1 dated 2024-03-15 and 0.3.0 dated 2024-04-22

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Package memoiR updated to version 1.2-9 with previous version 1.2-7 dated 2024-02-26

Title: R Markdown and Bookdown Templates to Publish Documents
Description: Producing high-quality documents suitable for publication directly from R is made possible by the R Markdown ecosystem. 'memoiR' makes it easy. It provides templates to knit memoirs, articles and slideshows with helpers to publish the documents on GitHub Pages and activate continuous integration.
Author: Eric Marcon [aut, cre]
Maintainer: Eric Marcon <eric.marcon@agroparistech.fr>

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Package acled.api updated to version 1.1.8 with previous version 1.1.7 dated 2024-01-10

Title: Automated Retrieval of ACLED Conflict Event Data
Description: Access and manage the application programming interface (API) of the Armed Conflict Location & Event Data Project (ACLED) at <https://acleddata.com/>. The package makes it easy to retrieve a user-defined sample (or all of the available data) of ACLED, enabling a seamless integration of regular data updates into the research work flow. It requires a minimal number of dependencies. See the package's README file for a note on replicability when drawing on ACLED data. When using this package, you acknowledge that you have read ACLED's terms and conditions of use, and that you agree with their attribution requirements.
Author: Christoph Dworschak [aut, cre] , Rob Williams [ctb]
Maintainer: Christoph Dworschak <dworschak@posteo.de>

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Package SAiVE updated to version 1.0.5 with previous version 1.0.4 dated 2024-02-07

Title: Functions Used for SAiVE Group Research, Collaborations, and Publications
Description: Holds functions developed by the University of Ottawa's SAiVE (Spatio-temporal Analysis of isotope Variations in the Environment) research group with the intention of facilitating the re-use of code, foster good code writing practices, and to allow others to benefit from the work done by the SAiVE group. Contributions are welcome via the 'GitHub' repository <https://github.com/UO-SAiVE/SAiVE> by group members as well as non-members.
Author: Ghislain de Laplante [aut, cre, cph]
Maintainer: Ghislain de Laplante <ghislain.delaplante@yukon.ca>

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Package rococo updated to version 1.1.8 with previous version 1.1.7 dated 2018-10-12

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>

Diff between rococo versions 1.1.7 dated 2018-10-12 and 1.1.8 dated 2024-04-22

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Permanent link

Package ieugwasr updated to version 1.0.0 with previous version 0.2.2 dated 2024-03-28

Title: Interface to the 'OpenGWAS' Database API
Description: Interface to the 'OpenGWAS' database API <https://gwas-api.mrcieu.ac.uk/>. Includes a wrapper to make generic calls to the API, plus convenience functions for specific queries.
Author: Gibran Hemani [aut, cre, cph] , Ben Elsworth [aut] , Tom Palmer [aut] , Rita Rasteiro [aut]
Maintainer: Gibran Hemani <g.hemani@bristol.ac.uk>

Diff between ieugwasr versions 0.2.2 dated 2024-03-28 and 1.0.0 dated 2024-04-22

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More information about ieugwasr at CRAN
Permanent link

Package colorscience updated to version 1.0.9 with previous version 1.0.8 dated 2019-10-29

Title: Color Science Methods and Data
Description: Methods and data for color science - color conversions by observer, illuminant, and gamma. Color matching functions and chromaticity diagrams. Color indices, color differences, and spectral data conversion/analysis. This package is deprecated and will someday be removed; for reasons and details please see the README file.
Author: Jose Gama [aut], Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

Diff between colorscience versions 1.0.8 dated 2019-10-29 and 1.0.9 dated 2024-04-22

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Package BMRMM updated to version 1.0.1 with previous version 1.0.0 dated 2023-06-19

Title: An Implementation of the Bayesian Markov (Renewal) Mixed Models
Description: The Bayesian Markov renewal mixed models take sequentially observed categorical data with continuous duration times, being either state duration or inter-state duration. These models comprehensively analyze the stochastic dynamics of both state transitions and duration times under the influence of multiple exogenous factors and random individual effect. The default setting flexibly models the transition probabilities using Dirichlet mixtures and the duration times using gamma mixtures. It also provides the flexibility of modeling the categorical sequences using Bayesian Markov mixed models alone, either ignoring the duration times altogether or dividing duration time into multiples of an additional category in the sequence by a user-specific unit. The package allows extensive inference of the state transition probabilities and the duration times as well as relevant plots and graphs. It also includes a synthetic data set to demonstrate the desired format of input data set and the utilit [...truncated...]
Author: Yutong Wu [aut, cre], Abhra Sarkar [aut]
Maintainer: Yutong Wu <yutong.wu@utexas.edu>

Diff between BMRMM versions 1.0.0 dated 2023-06-19 and 1.0.1 dated 2024-04-22

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Sun, 21 Apr 2024

Package MSclust updated to version 1.0.4 with previous version 1.0.3 dated 2023-05-04

Title: Multiple-Scaled Clustering
Description: Model based clustering using the multivariate multiple Scaled t (MST) and multivariate multiple scaled contaminated normal (MSCN) distributions. The MST is an extension of the multivariate Student-t distribution to include flexible tail behaviors, Forbes, F. & Wraith, D. (2014) <doi:10.1007/s11222-013-9414-4>. The MSCN represents a heavy-tailed generalization of the multivariate normal (MN) distribution to model elliptical contoured scatters in the presence of mild outliers (also referred to as "bad" points) and automatically detect bad points, Punzo, A. & Tortora, C. (2021) <doi:10.1177/1471082X19890935>.
Author: Cristina Tortora [aut, cre, cph] , Antonio Punzo [aut] , Louis Tran [aut]
Maintainer: Cristina Tortora <grikris1@gmail.com>

Diff between MSclust versions 1.0.3 dated 2023-05-04 and 1.0.4 dated 2024-04-21

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Package rEMM updated to version 1.2.1 with previous version 1.2.0 dated 2022-06-25

Title: Extensible Markov Model for Modelling Temporal Relationships Between Clusters
Description: Implements TRACDS (Temporal Relationships between Clusters for Data Streams), a generalization of Extensible Markov Model (EMM). TRACDS adds a temporal or order model to data stream clustering by superimposing a dynamically adapting Markov Chain. Also provides an implementation of EMM (TRACDS on top of tNN data stream clustering). Development of this package was supported in part by NSF IIS-0948893 and R21HG005912 from the National Human Genome Research Institute. Hahsler and Dunham (2010) <doi:10.18637/jss.v035.i05>.
Author: Michael Hahsler [aut, cre, cph] , Margaret H. Dunham [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between rEMM versions 1.2.0 dated 2022-06-25 and 1.2.1 dated 2024-04-21

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Package stream updated to version 2.0-2 with previous version 2.0-1 dated 2023-02-28

Title: Infrastructure for Data Stream Mining
Description: A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893, NSF CMMI 1728612, and NIH R21HG005912. Hahsler et al (2017) <doi:10.18637/jss.v076.i14>.
Author: Michael Hahsler [aut, cre, cph] , Matthew Bolanos [ctb], John Forrest [ctb], Matthias Carnein [ctb], Dennis Assenmacher [ctb], Dalibor Krleza [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package uwot updated to version 0.2.2 with previous version 0.2.1 dated 2024-04-15

Title: The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction
Description: An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) <doi:10.48550/arXiv.1802.03426>. It also provides means to transform new data and to carry out supervised dimensionality reduction. An implementation of the related LargeVis method of Tang et al. (2016) <doi:10.48550/arXiv.1602.00370> is also provided. This is a complete re-implementation in R (and C++, via the 'Rcpp' package): no Python installation is required. See the uwot website (<https://github.com/jlmelville/uwot>) for more documentation and examples.
Author: James Melville [aut, cre, cph], Aaron Lun [ctb], Mohamed Nadhir Djekidel [ctb], Yuhan Hao [ctb], Dirk Eddelbuettel [ctb]
Maintainer: James Melville <jlmelville@gmail.com>

Diff between uwot versions 0.2.1 dated 2024-04-15 and 0.2.2 dated 2024-04-21

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More information about uwot at CRAN
Permanent link

Package openssl updated to version 2.1.2 with previous version 2.1.1 dated 2023-09-25

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH key parsers. Supports RSA, DSA and EC curves P-256, P-384, P-521, and curve25519. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [aut, cre] , Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between openssl versions 2.1.1 dated 2023-09-25 and 2.1.2 dated 2024-04-21

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Permanent link

Package INLAspacetime updated to version 0.1.8 with previous version 0.1.7 dated 2023-08-27

Title: Spatial and Spatio-Temporal Models using 'INLA'
Description: Prepare objects to implement models over spatial and spacetime domains with the 'INLA' package (<https://www.r-inla.org>). These objects contain data to for the 'cgeneric' interface in 'INLA', enabling fast parallel computations. We implemented the spatial barrier model, see Bakka et. al. (2019) <doi:10.1016/j.spasta.2019.01.002>, and some of the spatio-temporal models in Lindgren et. al. (2023) <doi:10.48550/arXiv.2006.04917>. Details are provided in the available vignettes and from the URL bellow.
Author: Elias Teixeira Krainski [cre, aut, cph] , Finn Lindgren [aut] , Haavard Rue [aut]
Maintainer: Elias Teixeira Krainski <eliaskrainski@gmail.com>

Diff between INLAspacetime versions 0.1.7 dated 2023-08-27 and 0.1.8 dated 2024-04-21

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Package glmnetr updated to version 0.4-6 with previous version 0.4-5 dated 2024-04-19

Title: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models
Description: Cross validation informed Relaxed LASSO, Artificial Neural Network (ANN), gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'), Recursive Partitioning ('RPART') or step wise regression models are fit. Nested cross validation (or analogous for the random forest) is used to estimate and compare performances between these models with results presented in tabular or graphical means. Calibration plots can also be generated, again based upon (nested) cross validation. For some datasets, for example when the design matrix is not of full rank, 'glmnet' may have very long run times when fitting the relaxed lasso model, from our experience when fitting Cox models on data with many predictors and many patients, making it difficult to get solutions from either glmnet() or cv.glmnet(). This may be remedied with the 'path=TRUE' options when calling glmnet() and cv.glmnet(). Within the glmnetr package the approach of path=TRUE is taken by default. When fitting not a relaxed la [...truncated...]
Author: Walter K Kremers [aut, cre] , Nicholas B Larson [ctb]
Maintainer: Walter K Kremers <kremers.walter@mayo.edu>

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Package gdi updated to version 1.6.0 with previous version 1.5.4 dated 2023-09-07

Title: Volumetric Analysis using Graphic Double Integration
Description: Tools implementing an automated version of the graphic double integration technique (GDI) for volume implementation, and some other related utilities for paleontological image-analysis. GDI was first employed by Jerison (1973) <ISBN:9780323141086> and Hurlburt (1999) <doi:10.1080/02724634.1999.10011145> and is primarily used for volume or mass estimation of (extinct) animals. The package 'gdi' aims to make this technique as convenient and versatile as possible. The core functions of 'gdi' provide utilities for automatically measuring diameters from digital silhouettes provided as image files and calculating volume via graphic double integration with simple elliptical, superelliptical (following Motani 2001 <doi:10.1666/0094-8373(2001)027%3C0735:EBMFST%3E2.0.CO;2>) or complex cross-sectional models. Additionally, the package provides functions for estimating the center of mass position (COM), the moment of inertia (I) for 3D shapes and the second moment of area (Ix, Iy [...truncated...]
Author: Darius Nau [aut, cre]
Maintainer: Darius Nau <dariusnau@gmx.at>

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Package flps updated to version 1.1.0 with previous version 1.0.0 dated 2023-11-02

Title: Fully-Latent Principal Stratification
Description: Simulation and analysis of Fully-Latent Principal Stratification (FLPS) with measurement models. Lee, Adam, Kang, & Whittaker (2023). <doi:10.1007/978-3-031-27781-8_25>. This package is supported by the Institute of Education Sciences, U.S. Department of Education, through Grant R305D210036.
Author: Sooyong Lee [aut, cre], Adam Sales [aut], Hyeon-Ah Kang [aut], Tiffany Whittaker [aut]
Maintainer: Sooyong Lee <sooyongl09@gmail.com>

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Package flexsurv updated to version 2.3 with previous version 2.2.2 dated 2023-02-01

Title: Flexible Parametric Survival and Multi-State Models
Description: Flexible parametric models for time-to-event data, including the Royston-Parmar spline model, generalized gamma and generalized F distributions. Any user-defined parametric distribution can be fitted, given at least an R function defining the probability density or hazard. There are also tools for fitting and predicting from fully parametric multi-state models, based on either cause-specific hazards or mixture models.
Author: Christopher Jackson [aut, cre], Paul Metcalfe [ctb], Jordan Amdahl [ctb], Matthew T. Warkentin [ctb], Michael Sweeting [ctb], Kevin Kunzmann [ctb]
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

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Package CRE updated to version 0.2.6 with previous version 0.2.5 dated 2023-12-06

Title: Interpretable Discovery and Inference of Heterogeneous Treatment Effects
Description: Provides a new method for interpretable heterogeneous treatment effects characterization in terms of decision rules via an extensive exploration of heterogeneity patterns by an ensemble-of-trees approach, enforcing high stability in the discovery. It relies on a two-stage pseudo-outcome regression, and it is supported by theoretical convergence guarantees. Bargagli-Stoffi, F. J., Cadei, R., Lee, K., & Dominici, F. (2023) Causal rule ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects. arXiv preprint <doi:10.48550/arXiv.2009.09036>.
Author: Naeem Khoshnevis [aut, cre] , Daniela Maria Garcia [aut] , Riccardo Cadei [aut] , Kwonsang Lee [aut] , Falco Joannes Bargagli Stoffi [aut]
Maintainer: Naeem Khoshnevis <nkhoshnevis@g.harvard.edu>

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Package allometric updated to version 2.3.0 with previous version 2.1.0 dated 2023-11-07

Title: Structured Allometric Models for Trees
Description: Access allometric models used in forest resource analysis, such as volume equations, taper equations, biomass models, among many others. Users are able to efficiently find and select allometric models suitable for their project area and use them in analysis. Additionally, 'allometric' provides a structured framework for adding new models to an open-source models repository.
Author: Bryce Frank [aut, cre] , Francisco Mauro [aut] , Elijah Allensworth [aut]
Maintainer: Bryce Frank <bfrank70@gmail.com>

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Package rtpcr updated to version 1.0.5 with previous version 1.0.4 dated 2024-04-20

Title: qPCR Data Analysis
Description: Various methods are employed for statistical analysis and graphical presentation of real-time PCR (quantitative PCR or qPCR) data. 'rtpcr' handles amplification efficiency calculation, statistical analysis and graphical representation of real-time PCR data based on up to two reference genes. By accounting for amplification efficiency values, 'rtpcr' was developed using a general calculation method described by Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5> and Taylor et al. (2019) <doi:10.1016/j.tibtech.2018.12.002>, covering both the Livak and Pfaffl methods. Based on the experimental conditions, the functions of the 'rtpcr' package use t-test (for experiments with a two-level factor) or analysis of variance (for cases where more than two levels or factors exist) to calculate the fold change or relative expression. The functions also provide standard deviations and confidence limits for means and apply statistical mean comparisons. To facilitate using 'rtpcr', diffe [...truncated...]
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <gh.mirzaghaderi@uok.ac.ir>

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Package linelist updated to version 1.1.3 with previous version 1.1.2 dated 2024-04-19

Title: Tagging and Validating Epidemiological Data
Description: Provides tools to help storing and handling case line list data. The 'linelist' class adds a tagging system to classical 'data.frame' objects to identify key epidemiological data such as dates of symptom onset, epidemiological case definition, age, gender or disease outcome. Once tagged, these variables can be seamlessly used in downstream analyses, making data pipelines more robust and reliable.
Author: Hugo Gruson [aut, cre] , Thibaut Jombart [aut, ccp], Tim Taylor [ctb], Chris Hartgerink [rev]
Maintainer: Hugo Gruson <hugo@data.org>

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Package DeclareDesign updated to version 1.0.10 with previous version 1.0.8 dated 2024-03-07

Title: Declare and Diagnose Research Designs
Description: Researchers can characterize and learn about the properties of research designs before implementation using `DeclareDesign`. Ex ante declaration and diagnosis of designs can help researchers clarify the strengths and limitations of their designs and to improve their properties, and can help readers evaluate a research strategy prior to implementation and without access to results. It can also make it easier for designs to be shared, replicated, and critiqued.
Author: Graeme Blair [aut, cre] , Jasper Cooper [aut] , Alexander Coppock [aut] , Macartan Humphreys [aut] , Neal Fultz [aut]
Maintainer: Graeme Blair <graeme.blair@gmail.com>

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Package baRulho updated to version 2.1.0 with previous version 1.0.6 dated 2022-03-01

Title: Quantifying (Animal) Sound Degradation
Description: Intended to facilitate acoustic analysis of (animal) sound transmission experiments, which typically aim to quantify changes in signal structure when transmitted in a given habitat by broadcasting and re-recording animal sounds at increasing distances. The package offers a workflow with functions to prepare the data set for analysis as well as to calculate and visualize several degradation metrics, including blur ratio, signal-to-noise ratio, excess attenuation and envelope correlation among others (Dabelsteen et al 1993 <doi:10.1121/1.406682>).
Author: Marcelo Araya-Salas [aut, cre] , Michael Mahoney [rev] , Dena Clink [rev]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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Package biglasso updated to version 1.6.0 with previous version 1.5.2 dated 2022-10-05

Title: Extending Lasso Model Fitting to Big Data
Description: Extend lasso and elastic-net model fitting for ultra high-dimensional, multi-gigabyte data sets that cannot be loaded into memory. Designed to be more memory- and computation-efficient than existing lasso-fitting packages like 'glmnet' and 'ncvreg', thus allowing the user to analyze big data analysis even on an ordinary laptop.
Author: Yaohui Zeng [aut], Chuyi Wang [aut], Tabitha Peter [aut], Patrick Breheny [aut, cre]
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

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Package origin updated to version 1.1.2 with previous version 1.1.1 dated 2023-09-03

Title: Explicitly Qualifying Namespaces by Automatically Adding 'pkg::' to Functions
Description: Automatically adding 'pkg::' to a function, i.e. mutate() becomes dplyr::mutate(). It is up to the user to determine which packages should be used explicitly, whether to include base R packages or use the functionality on selected text, a file, or a complete directory. User friendly logging is provided in the 'RStudio' Markers pane. Lives in the spirit of 'lintr' and 'styler'. Can also be used for checking which packages are actually used in a project.
Author: Matthias Nistler
Maintainer: Matthias Nistler <m_nistler@web.de>

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Package DanielBiostatistics10th updated to version 0.2.1 with previous version 0.2.0 dated 2024-04-11

Title: Functions for Wayne W. Daniel's Biostatistics, Tenth Edition
Description: Functions to accompany Wayne W. Daniel's Biostatistics: A Foundation for Analysis in the Health Sciences, Tenth Edition.
Author: Tingting Zhan [aut, cre, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package ThomasJeffersonUniv updated to version 0.1.1 with previous version 0.1.0 dated 2022-05-18

Title: Handy Tools for TJU/TJUH Employees
Description: Functions for admin needs of employees of Thomas Jefferson University and Thomas Jefferson University Hospital, Philadelphia, PA.
Author: Tingting Zhan [aut, cre, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Sat, 20 Apr 2024

Package micromapST updated to version 3.0.3 with previous version 3.0.2 dated 2024-01-10

Title: Linked Micromap Plots for U. S. and Other Geographic Areas
Description: Provides the users with the ability to quickly create linked micromap plots for a collection of geographic areas. Linked micromap plots are visualizations of geo-referenced data that link statistical graphics to an organized series of small maps or graphic images. The Help description contains examples of how to use the 'micromapST' function. Contained in this package are border group datasets to support creating linked micromap plots for the 50 U.S. states and District of Columbia (51 areas), the U. S. 20 Seer Registries, the 105 counties in the state of Kansas, the 62 counties of New York, the 24 counties of Maryland, the 29 counties of Utah, the 32 administrative areas in China, the 218 administrative areas in the UK and Ireland (for testing only), the 25 districts in the city of Seoul South Korea, and the 52 counties on the Africa continent. A border group dataset contains the boundaries related to the data level areas, a second layer boundaries, a top or third layer boundary, a pa [...truncated...]
Author: Jim Pearson [aut, cre, cph], Dan Carr [aut, cph], Linda Pickle [ctb, cph]
Maintainer: Jim Pearson <jbpearson353@gmail.com>

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Package streamMOA updated to version 1.3-1 with previous version 1.3-0 dated 2022-09-03

Title: Interface for MOA Stream Clustering Algorithms
Description: Interface for data stream clustering algorithms implemented in the MOA (Massive Online Analysis) framework (Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer (2010). MOA: Massive Online Analysis, Journal of Machine Learning Research 11: 1601-1604).
Author: Michael Hahsler [aut, cre, cph] , John Forrest [aut, cph], Matthew Bolanos [ctb], Matthias Carnein [ctb], Dalibor Krleza [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package ncvreg updated to version 3.14.2 with previous version 3.14.1 dated 2023-04-25

Title: Regularization Paths for SCAD and MCP Penalized Regression Models
Description: Fits regularization paths for linear regression, GLM, and Cox regression models using lasso or nonconvex penalties, in particular the minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalty, with options for additional L2 penalties (the "elastic net" idea). Utilities for carrying out cross-validation as well as post-fitting visualization, summarization, inference, and prediction are also provided. For more information, see Breheny and Huang (2011) <doi:10.1214/10-AOAS388> or visit the ncvreg homepage <https://pbreheny.github.io/ncvreg/>.
Author: Patrick Breheny [aut, cre]
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

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Package sketchy updated to version 1.0.3 with previous version 1.0.2 dated 2022-02-09

Title: Create Custom Research Compendiums
Description: Provides functions to create and manage research compendiums for data analysis. Research compendiums are a standard and intuitive folder structure for organizing the digital materials of a research project, which can significantly improve reproducibility. The package offers several compendium structure options that fit different research project as well as the ability of duplicating the folder structure of existing projects or implementing custom structures. It also simplifies the use of version control.
Author: Marcelo Araya-Salas [aut, cre] , Andrea Yure Arriaga Madrigal [aut]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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Package ivreg updated to version 0.6-3 with previous version 0.6-2 dated 2023-03-17

Title: Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM', with Diagnostics
Description: Instrumental variable estimation for linear models by two-stage least-squares (2SLS) regression or by robust-regression via M-estimation (2SM) or MM-estimation (2SMM). The main ivreg() model-fitting function is designed to provide a workflow as similar as possible to standard lm() regression. A wide range of methods is provided for fitted ivreg model objects, including extensive functionality for computing and graphing regression diagnostics in addition to other standard model tools.
Author: John Fox [aut] , Christian Kleiber [aut] , Achim Zeileis [aut, cre] , Nikolas Kuschnig [ctb] , R Core Team [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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2018-08-02 1.0.6

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Package tm updated to version 0.7-13 with previous version 0.7-12 dated 2024-03-11

Title: Text Mining Package
Description: A framework for text mining applications within R.
Author: Ingo Feinerer [aut, cre] , Kurt Hornik [aut] , Artifex Software, Inc. [ctb, cph]
Maintainer: Ingo Feinerer <feinerer@logic.at>

Diff between tm versions 0.7-12 dated 2024-03-11 and 0.7-13 dated 2024-04-20

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Package selenider updated to version 0.4.0 with previous version 0.3.0 dated 2024-01-27

Title: Concise, Lazy and Reliable Wrapper for 'chromote' and 'selenium'
Description: A user-friendly wrapper for web automation, using either 'chromote' or 'selenium'. Provides a simple and consistent API to make web scraping and testing scripts easy to write and understand. Elements are lazy, and automatically wait for the website to be valid, resulting in reliable and reproducible code, with no visible impact on the experience of the programmer.
Author: Ashby Thorpe [aut, cre, cph]
Maintainer: Ashby Thorpe <ashbythorpe@gmail.com>

Diff between selenider versions 0.3.0 dated 2024-01-27 and 0.4.0 dated 2024-04-20

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Package rtpcr updated to version 1.0.4 with previous version 1.0.3 dated 2024-04-13

Title: qPCR Data Analysis
Description: Various methods are employed for statistical analysis and graphical presentation of real-time PCR (quantitative PCR or qPCR) data. 'rtpcr' handles amplification efficiency calculation, statistical analysis and graphical representation of real-time PCR data based on up to two reference genes. By accounting for amplification efficiency values, 'rtpcr' was developed using a general calculation method described by Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5> and Taylor et al. (2019) <doi:10.1016/j.tibtech.2018.12.002>, covering both the Livak and Pfaffl methods. Based on the experimental conditions, the functions of the 'rtpcr' package use t-test (for experiments with a two-level factor) or analysis of variance (for cases where more than two levels or factors exist) to calculate the fold change or relative expression. The functions also provide standard deviations and confidence limits for means and apply statistical mean comparisons. To facilitate using 'rtpcr', diffe [...truncated...]
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <gh.mirzaghaderi@uok.ac.ir>

Diff between rtpcr versions 1.0.3 dated 2024-04-13 and 1.0.4 dated 2024-04-20

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2020-06-17 2.0.6
2019-12-14 2.0.5
2019-05-17 2.0.4
2018-05-14 2.0.3
2017-11-30 2.0.2
2017-03-08 2.0.1
2016-06-13 1.1.0
2015-04-27 1.0.5543
2013-06-26 1.0.4184
2013-04-11 1.0.4045
2012-11-05 1.0.2662
2012-06-24 1.0.2661
2012-03-08 1.0.2257
2011-07-23 0.1.1550
2011-05-03 0.1.1375
2010-10-15 0.1.1065
2010-08-31 0.1.1016
2010-06-22 0.1.888

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2018-01-23 0.8.2

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2020-04-10 0.5.1

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2023-01-06 0.1.1
2022-10-18 0.1.0

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2024-03-09 1.0.5
2024-02-29 1.0.4
2024-01-10 1.0.3
2023-10-25 1.0.2
2023-09-27 1.0.1
2023-09-21 1.0

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2021-10-29 1.0.2
2021-08-21 1.0.1
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Package LotkasLaw (with last version 0.0.1.0) was removed from CRAN

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2015-08-17 0.0.1.0

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Package RStorm (with last version 1.0) was removed from CRAN

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2018-11-29 1.0
2013-08-28 0.902

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Package NetSci (with last version 1.0.0) was removed from CRAN

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2022-07-03 1.0.0
2021-12-02 0.1.2
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2021-02-05 0.1.0

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Package XRJulia updated to version 0.9.0.1 with previous version 0.9.0 dated 2019-05-05

Title: Structured Interface to Julia
Description: A Julia interface structured according to the general form described in package 'XR' and in the book "Extending R".
Author: John M. Chambers
Maintainer: John Chambers <jmc@r-project.org>

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Package secrdesign updated to version 2.9.1 with previous version 2.9.0 dated 2024-03-02

Title: Sampling Design for Spatially Explicit Capture-Recapture
Description: Tools for designing spatially explicit capture-recapture studies of animal populations. This is primarily a simulation manager for package 'secr'. Extensions in version 2.5.0 include costing and evaluation of detector spacing.
Author: Murray Efford [aut, cre] , Ian Durbach [ctb]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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Package pamr updated to version 1.56.2 with previous version 1.56.1 dated 2019-04-22

Title: Pam: Prediction Analysis for Microarrays
Description: Some functions for sample classification in microarrays.
Author: T. Hastie, R. Tibshirani, Balasubramanian Narasimhan, Gil Chu
Maintainer: Rob Tibshirani <tibs@stanford.edu>

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Package GSA updated to version 1.03.3 with previous version 1.03.2 dated 2022-03-19

Title: Gene Set Analysis
Description: Gene Set Analysis.
Author: Brad Efron and R. Tibshirani
Maintainer: Rob Tibshirani <tibs@stat.stanford.edu>

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2016-05-12 1.0

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