Sun, 02 Feb 2025

Package shinyAce updated to version 0.4.4 with previous version 0.4.3 dated 2024-10-18

Title: Ace Editor Bindings for Shiny
Description: Ace editor bindings to enable a rich text editing environment within Shiny.
Author: Vincent Nijs [aut, cre], Forest Fang [aut], Trestle Technology, LLC [aut], Jeff Allen [aut], Institut de Radioprotection et de Surete Nucleaire [cph], Ajax.org B.V. [ctb, cph]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Package ProbBreed updated to version 1.0.4.5 with previous version 1.0.4.4 dated 2024-11-10

Title: Probability Theory for Selecting Candidates in Plant Breeding
Description: Use probability theory under the Bayesian framework for calculating the risk of selecting candidates in a multi-environment context. Contained are functions used to fit a Bayesian multi-environment model (based on the available presets), extract posterior values and maximum posterior values, compute the variance components, check the model’s convergence, and calculate the probabilities. For both across and within-environments scopes, the package computes the probability of superior performance and the pairwise probability of superior performance. Furthermore, the probability of superior stability and the pairwise probability of superior stability across environments is estimated. A joint probability of superior performance and stability is also provided.
Author: Saulo Chaves [aut, cre] , Kaio Dias [aut, cph] , Matheus Krause [aut]
Maintainer: Saulo Chaves <saulo.chaves@ufv.br>

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Package Rborist updated to version 0.3-11 with previous version 0.3-7 dated 2024-01-15

Title: Extensible, Parallelizable Implementation of the Random Forest Algorithm
Description: Scalable implementation of classification and regression forests, as described by Breiman (2001), <DOI:10.1023/A:1010933404324>.
Author: Mark Seligman [aut, cre]
Maintainer: Mark Seligman <mseligman@suiji.org>

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Package photobiology updated to version 0.12.0 with previous version 0.11.4 dated 2024-11-30

Title: Photobiological Calculations
Description: Definitions of classes, methods, operators and functions for use in photobiology and radiation meteorology and climatology. Calculation of effective (weighted) and not-weighted irradiances/doses, fluence rates, transmittance, reflectance, absorptance, absorbance and diverse ratios and other derived quantities from spectral data. Local maxima and minima: peaks, valleys and spikes. Conversion between energy-and photon-based units. Wavelength interpolation. Astronomical calculations related solar angles and day length. Colours and vision. This package is part of the 'r4photobiology' suite, Aphalo, P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] , Titta K. Kotilainen [ctb] , Glenn Davis [ctb], Agnese Fazio [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package V8 updated to version 6.0.1 with previous version 6.0.0 dated 2024-10-12

Title: Embedded JavaScript and WebAssembly Engine for R
Description: An R interface to V8 <https://v8.dev>: Google's open source JavaScript and WebAssembly engine. This package can be compiled either with V8 version 6 and up or NodeJS when built as a shared library.
Author: Jeroen Ooms [aut, cre] , Jan Marvin Garbuszus [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between V8 versions 6.0.0 dated 2024-10-12 and 6.0.1 dated 2025-02-02

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Package ggsem updated to version 0.2.4 with previous version 0.2.3 dated 2025-01-27

Title: Interactively Visualize Structural Equation Modeling Diagrams
Description: It is an R package and web-based application, allowing users to perform interactive and reproducible visualizations of path diagrams for structural equation modeling (SEM) and networks using the 'ggplot2' engine. Its app (built with 'shiny') provides an interface that allows extensive customization, and creates CSV outputs, which can then be used to recreate the figures either using the web app or script-based workflow.
Author: Seung Hyun Min [aut, cre]
Maintainer: Seung Hyun Min <seung.min@mail.mcgill.ca>

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New package enrichR with initial version 3.4
Package: enrichR
Title: Provides an R Interface to 'Enrichr'
Version: 3.4
Description: Provides an R interface to all 'Enrichr' databases. 'Enrichr' is a web-based tool for analysing gene sets and returns any enrichment of common annotated biological features. Quoting from their website 'Enrichment analysis is a computational method for inferring knowledge about an input gene set by comparing it to annotated gene sets representing prior biological knowledge.' See <https://maayanlab.cloud/Enrichr/> for further details.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: httr, curl, rjson, ggplot2, WriteXLS
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-02 17:17:05 UTC; wajid
Author: Wajid Jawaid [aut, cre]
Maintainer: Wajid Jawaid <wajid.jawaid@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-02 22:50:06 UTC

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Package bbk updated to version 0.6.0 with previous version 0.5.0 dated 2024-12-02

Title: Client for Central Bank APIs
Description: A client for retrieving data and metadata from major central bank APIs. It supports access to the 'Bundesbank SDMX Web Service API' (<https://www.bundesbank.de/en/statistics/time-series-databases/help-for-sdmx-web-service/web-service-interface-data>), the 'Swiss National Bank Data Portal' (<https://data.snb.ch/en>), and the 'European Central Bank Data Portal API' (<https://data.ecb.europa.eu/help/api/overview>).
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package mltest updated to version 1.0.2 with previous version 1.0.1 dated 2018-11-16

Title: Classification Evaluation Metrics
Description: A fast, robust and easy-to-use calculation of multi-class classification evaluation metrics based on confusion matrix.
Author: G. Dudnik [aut, cre, cph]
Maintainer: G. Dudnik <gl.dudnik@gmail.com>

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Package testDriveR updated to version 0.5.3 with previous version 0.5.2 dated 2022-05-29

Title: Teaching Data for Statistics and Data Science
Description: Provides data sets for teaching statistics and data science courses. It includes a sample of data from John Edmund Kerrich's famous coinflip experiment. These are data that I used for statistics. The package also contains an R Markdown template with the required formatting for assignments in my former courses.
Author: Christopher Prener [aut, cre] , Bill Bradley [dtc], NORC at the University of Chicago [dtc], UN Inter-agency Group for Child Mortality Estimation [dtc], U.S. Department of Energy [dtc]
Maintainer: Christopher Prener <chris.prener@gmail.com>

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Package photobiologyInOut updated to version 0.4.30 with previous version 0.4.29 dated 2024-11-22

Title: Read Spectral and Logged Data from Foreign Files
Description: Functions for reading, and in some cases writing, foreign files containing spectral data from spectrometers and their associated software, output from daylight simulation models in common use, and some spectral data repositories. As well as functions for exchange of spectral data with other R packages. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] , Titta K. Kotilainen [ctb] , Glenn Davis [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package misty updated to version 0.7.0 with previous version 0.6.8 dated 2024-10-24

Title: Miscellaneous Functions 'T. Yanagida'
Description: Miscellaneous functions for (1) data management (e.g., grand-mean and group-mean centering, coding variables and reverse coding items, scale and cluster scores, reading and writing Excel and SPSS files), (2) descriptive statistics (e.g., frequency table, cross tabulation, effect size measures), (3) missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), (4) multilevel data (e.g., multilevel descriptive statistics, within-group and between-group correlation matrix, multilevel confirmatory factor analysis, level-specific fit indices, cross-level measurement equivalence evaluation, multilevel composite reliability, and multilevel R-squared measures), (5) item analysis (e.g., confirmatory factor analysis, coefficient alpha and omega, between-group and longitudinal measurement equivalence evaluation), (6) statistical analysis (e.g., bootstrap confidence intervals, collinearity and res [...truncated...]
Author: Takuya Yanagida [aut, cre]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>

Diff between misty versions 0.6.8 dated 2024-10-24 and 0.7.0 dated 2025-02-02

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 misty-0.7.0/misty/MD5                         |  400 +-
 misty-0.7.0/misty/NAMESPACE                   |   13 
 misty-0.7.0/misty/NEWS.md                     |   58 
 misty-0.7.0/misty/R/aov.b.R                   |  239 -
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 misty-0.7.0/misty/R/blimp.plot.R              |  109 
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 misty-0.7.0/misty/R/df.rename.R               |   21 
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 misty-0.7.0/misty/R/mplus.plot.R              |  119 
 misty-0.7.0/misty/R/mplus.print.R             |   35 
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 misty-0.7.0/misty/R/print.misty.object.R      | 2169 +++++++++++++--
 misty-0.7.0/misty/R/read.data.R               |   64 
 misty-0.7.0/misty/R/read.dta.R                |   35 
 misty-0.7.0/misty/R/read.mplus.R              |   13 
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 misty-0.7.0/misty/R/read.xlsx.R               |   22 
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 misty-0.7.0/misty/R/restart.R                 |    6 
 misty-0.7.0/misty/R/result.lca.R              |   81 
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 misty-0.7.0/misty/R/rwg.lindell.R             |  120 
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More information about misty at CRAN
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Package modelsummary updated to version 2.3.0 with previous version 2.2.0 dated 2024-09-02

Title: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
Description: Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents. Details can be found in Arel-Bundock (2022) <doi:10.18637/jss.v103.i01>.
Author: Vincent Arel-Bundock [aut, cre] , Joachim Gassen [ctb] , Nathan Eastwood [ctb], Nick Huntington-Klein [ctb] , Moritz Schwarz [ctb] , Benjamin Elbers [ctb] , Grant McDermott [ctb] , Lukas Wallrich [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

Diff between modelsummary versions 2.2.0 dated 2024-09-02 and 2.3.0 dated 2025-02-02

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 modelsummary-2.3.0/modelsummary/DESCRIPTION                                                              |   48 
 modelsummary-2.3.0/modelsummary/MD5                                                                      |  170 -
 modelsummary-2.3.0/modelsummary/NAMESPACE                                                                |    1 
 modelsummary-2.3.0/modelsummary/NEWS.md                                                                  |  865 +++++-----
 modelsummary-2.3.0/modelsummary/R/bind_est_gof.R                                                         |    6 
 modelsummary-2.3.0/modelsummary/R/datasummary.R                                                          |   57 
 modelsummary-2.3.0/modelsummary/R/datasummary_balance.R                                                  |  559 +++---
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 modelsummary-2.3.0/modelsummary/R/datasummary_crosstab.R                                                 |  258 +-
 modelsummary-2.3.0/modelsummary/R/datasummary_df.R                                                       |   47 
 modelsummary-2.3.0/modelsummary/R/datasummary_skim.R                                                     |  161 -
 modelsummary-2.3.0/modelsummary/R/factory_gt.R                                                           |   36 
 modelsummary-2.3.0/modelsummary/R/factory_kableExtra.R                                                   |    3 
 modelsummary-2.3.0/modelsummary/R/factory_tinytable.R                                                    |   21 
 modelsummary-2.3.0/modelsummary/R/fmt_factory.R                                                          |   24 
 modelsummary-2.3.0/modelsummary/R/get_estimates.R                                                        |   20 
 modelsummary-2.3.0/modelsummary/R/modelplot.R                                                            |   22 
 modelsummary-2.3.0/modelsummary/R/modelsummary.R                                                         |  474 ++---
 modelsummary-2.3.0/modelsummary/R/modelsummary_rbind.R                                                   |   23 
 modelsummary-2.3.0/modelsummary/R/shape_estimates.R                                                      |   91 -
 modelsummary-2.3.0/modelsummary/R/stars.R                                                                |    4 
 modelsummary-2.3.0/modelsummary/R/utils_labels.R                                                         |    7 
 modelsummary-2.3.0/modelsummary/R/zzz.R                                                                  |   18 
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Package ablasso updated to version 1.1 with previous version 1.0 dated 2024-05-03

Title: Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models
Description: Implements the Arellano-Bond estimation method combined with LASSO for dynamic linear panel models. See Chernozhukov et al. (2024) "Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models". arXiv preprint <doi:10.48550/arXiv.2402.00584>.
Author: Victor Chernozhukov [aut], Ivan Fernandez-Val [aut], Chen Huang [aut], Weining Wang [aut], Junyu Chen [cre]
Maintainer: Junyu Chen <junyu.chen@outlook.de>

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Package scientific updated to version 2025.0 with previous version 2024.2 dated 2024-05-08

Title: Two Highly Customizable 'rmarkdown' Themes for Scientific Reports
Description: Offers 'markdown' output formats designed with various styles, allowing users to generate HTML reports tailored for scientific or machine learning showcase. The output has a contemporary appearance with vibrant visuals, providing numerous styles for effective highlighting. Created using the 'tufte' <https://rstudio.github.io/tufte/> package code as a starting point.
Author: Obinna Obianom [aut, cre]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

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Package TDA updated to version 1.9.4 with previous version 1.9.1 dated 2024-01-24

Title: Statistical Tools for Topological Data Analysis
Description: Tools for Topological Data Analysis. The package focuses on statistical analysis of persistent homology and density clustering. For that, this package provides an R interface for the efficient algorithms of the C++ libraries 'GUDHI' <https://project.inria.fr/gudhi/software/>, 'Dionysus' <https://www.mrzv.org/software/dionysus/>, and 'PHAT' <https://bitbucket.org/phat-code/phat/>. This package also implements methods from Fasy et al. (2014) <doi:10.1214/14-AOS1252> and Chazal et al. (2015) <doi:10.20382/jocg.v6i2a8> for analyzing the statistical significance of persistent homology features.
Author: Brittany T. Fasy [aut], Jisu Kim [aut, cre], Fabrizio Lecci [aut], Clement Maria [aut], David L. Millman [aut], Vincent Rouvreau. [aut]
Maintainer: Jisu Kim <jkim82133@snu.ac.kr>

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Package mathml updated to version 1.3 with previous version 1.2 dated 2023-07-15

Title: Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax'
Description: Translate R expressions to 'MathML' or 'MathJax'/'LaTeX' so that they can be rendered in R markdown documents and shiny apps. This package depends on R package 'rolog', which requires an installation of the 'SWI'-'Prolog' runtime either from 'swi-prolog.org' or from R package 'rswipl'.
Author: Matthias Gondan [aut, cre, cph] , Irene Alfarone [aut] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

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Sat, 01 Feb 2025

Package dsem updated to version 1.4.1 with previous version 1.4.0 dated 2025-01-13

Title: Fit Dynamic Structural Equation Models
Description: Applies dynamic structural equation models to time-series data with generic and simplified specification for simultaneous and lagged effects. Methods are described in Thorson et al. (2024) "Dynamic structural equation models synthesize ecosystem dynamics constrained by ecological mechanisms."
Author: James Thorson [aut, cre] , Maurice Goodman [ctb]
Maintainer: James Thorson <James.Thorson@noaa.gov>

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Package MazamaSpatialPlots updated to version 0.3.0 with previous version 0.2.0 dated 2022-11-15

Title: Thematic Plots for Mazama Spatial Datasets
Description: A suite of convenience functions for generating US state and county thematic maps using datasets from the MazamaSpatialUtils package.
Author: Jonathan Callahan [aut, cre], Rachel Carroll [aut], Eli Grosman [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

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Package traj updated to version 2.2.1 with previous version 2.2.0 dated 2024-07-04

Title: Clustering of Functional Data Based on Measures of Change
Description: Implements a three-step procedure in the spirit of Leffondre et al. (2004) to identify clusters of individual longitudinal trajectories. The procedure involves (1) computing a number of "measures of change" capturing various features of the trajectories; (2) using a Principal Component Analysis based dimension reduction algorithm to select a subset of measures and (3) using the k-medoids or k-means algorithm to identify clusters of trajectories.
Author: Marie-Pierre Sylvestre [aut], Laurence Boulanger [aut, cre], Gillis Delmas Tchouangue Dinkou [ctb], Dan Vatnik [ctb]
Maintainer: Laurence Boulanger <laurence.boulanger@umontreal.ca>

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Package RStoolbox updated to version 1.0.2 with previous version 1.0.1 dated 2025-02-01

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 rempsyc updated to version 0.1.9 with previous version 0.1.8 dated 2024-07-01

Title: Convenience Functions for Psychology
Description: Make your workflow faster and easier. Easily customizable plots (via 'ggplot2'), nice APA tables (following the style of the *American Psychological Association*) exportable to Word (via 'flextable'), easily run statistical tests or check assumptions, and automatize various other tasks.
Author: Remi Theriault [aut, cre]
Maintainer: Remi Theriault <remi.theriault@mail.mcgill.ca>

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New package RegrCoeffsExplorer with initial version 1.2.0
Package: RegrCoeffsExplorer
Title: Efficient Visualization of Regression Coefficients for Lm(), Glm(), and Glmnet() Objects
Version: 1.2.0
Imports: dplyr, ggpubr, gridExtra, glmnet, ggplot2, magrittr, grDevices, rlang, stats
Description: The visualization tool offers a nuanced understanding of regression dynamics, going beyond traditional per-unit interpretation of continuous variables versus categorical ones. It highlights the impact of unit changes as well as larger shifts like interquartile changes, acknowledging the distribution of empirical data. Furthermore, it generates visualizations depicting alterations in Odds Ratios for predictors across minimum, first quartile, median, third quartile, and maximum values, aiding in comprehending predictor-outcome interplay within empirical data distributions, particularly in logistic regression frameworks.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: faraway, knitr, MASS, psych, rmarkdown, selectiveInference, survival
URL: https://vadimtyuryaev.github.io/RegrCoeffsExplorer/
NeedsCompilation: no
Packaged: 2025-02-01 19:05:53 UTC; vadim
Author: Vadim Tyuryaev [aut, cre] , Aleksandr Tsybakin [aut], Jane Heffernan [aut], Hanna Jankowski [aut], Kevin McGregor [aut]
Maintainer: Vadim Tyuryaev <vadim.tyuryaev@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-01 23:40:10 UTC

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Package zip updated to version 2.3.2 with previous version 2.3.1 dated 2024-01-27

Title: Cross-Platform 'zip' Compression
Description: Cross-Platform 'zip' Compression Library. A replacement for the 'zip' function, that does not require any additional external tools on any platform.
Author: Gabor Csardi [aut, cre], Kuba Podgorski [ctb], Rich Geldreich [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between zip versions 2.3.1 dated 2024-01-27 and 2.3.2 dated 2025-02-01

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Package SLOPE updated to version 0.5.2 with previous version 0.5.1 dated 2024-07-09

Title: Sorted L1 Penalized Estimation
Description: Efficient implementations for Sorted L-One Penalized Estimation (SLOPE): generalized linear models regularized with the sorted L1-norm (Bogdan et al. 2015). Supported models include ordinary least-squares regression, binomial regression, multinomial regression, and Poisson regression. Both dense and sparse predictor matrices are supported. In addition, the package features predictor screening rules that enable fast and efficient solutions to high-dimensional problems.
Author: Johan Larsson [aut, cre] , Jonas Wallin [aut] , Malgorzata Bogdan [aut], Ewout van den Berg [aut], Chiara Sabatti [aut], Emmanuel Candes [aut], Evan Patterson [aut], Weijie Su [aut], Jakub Kala [aut], Krystyna Grzesiak [aut], Michal Burdukiewicz [aut [...truncated...]
Maintainer: Johan Larsson <johanlarsson@outlook.com>

Diff between SLOPE versions 0.5.1 dated 2024-07-09 and 0.5.2 dated 2025-02-01

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Package rayimage updated to version 0.15.1 with previous version 0.11.0 dated 2024-07-13

Title: Image Processing for Simulated Cameras
Description: Uses convolution-based techniques to generate simulated camera bokeh, depth of field, and other camera effects, using an image and an optional depth map. Accepts both filename inputs and in-memory array representations of images and matrices. Includes functions to perform 2D convolutions, reorient and resize images/matrices, add image and text overlays, generate camera vignette effects, and add titles to images.
Author: Tyler Morgan-Wall [aut, cph, cre] , Sean Barrett [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between rayimage versions 0.11.0 dated 2024-07-13 and 0.15.1 dated 2025-02-01

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Package pooledpeaks updated to version 1.1.0 with previous version 1.0.7 dated 2024-11-19

Title: Genetic Analysis of Pooled Samples
Description: Analyzing genetic data obtained from pooled samples. This package can read in Fragment Analysis output files, process the data, and score peaks, as well as facilitate various analyses, including cluster analysis, calculation of genetic distances and diversity indices, as well as bootstrap resampling for statistical inference. Specifically tailored to handle genetic data efficiently, researchers can explore population structure, genetic differentiation, and genetic relatedness among samples. We updated some functions from Covarrubias-Pazaran et al. (2016) <doi:10.1186/s12863-016-0365-6> to allow for the use of new file formats and referenced the following to write our genetic analysis functions: Long et al. (2022) <doi:10.1038/s41598-022-04776-0>, Jost (2008) <doi:10.1111/j.1365-294x.2008.03887.x>, Nei (1973) <doi:10.1073/pnas.70.12.3321>, Foulley et al. (2006) <doi:10.1016/j.livprodsci.2005.10.021>, Chao et al. (2008) <doi:10.1111/j.1541-0420.2008.01010 [...truncated...]
Author: Kathleen Kuesters [aut, cre, cph] , Jeffrey Long [aut], Jessica Blanton [aut], Walter Blank [ctb], Jeffrey Kovach [ctb], Ronald Blanton [ctb]
Maintainer: Kathleen Kuesters <kathleen.kuesters@gmail.com>

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Package fbati updated to version 1.0-11 with previous version 1.0-9 dated 2024-02-02

Title: Gene by Environment Interaction and Conditional Gene Tests for Nuclear Families
Description: Does family-based gene by environment interaction tests, joint gene, gene-environment interaction test, and a test of a set of genes conditional on another set of genes.
Author: Thomas Hoffmann [aut, cre]
Maintainer: Thomas Hoffmann <tjhoffm@gmail.com>

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Package cir updated to version 2.5.1 with previous version 2.5.0 dated 2024-12-02

Title: Centered Isotonic Regression and Dose-Response Utilities
Description: Isotonic regression (IR) and its improvement: centered isotonic regression (CIR). CIR is recommended in particular with small samples. Also, interval estimates for both, and additional utilities such as plotting dose-response data. For dev version and change history, see GitHub assaforon/cir.
Author: Assaf P. Oron [cre, aut]
Maintainer: Assaf P. Oron <assaf.oron@gmail.com>

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Package R2sample updated to version 3.0.0 with previous version 2.2.0 dated 2024-10-21

Title: Various Methods for the Two Sample Problem
Description: The routine twosample_test() in this package runs the two sample test using various test statistic. The p values are found via permutation or large sample theory. The routine twosample_power() allows the calculation of the power in various cases, and plot_power() draws the corresponding power graphs. The routine run.studies allows a user to quickly study the power of a new method and how it compares to some of the standard ones.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

Diff between R2sample versions 2.2.0 dated 2024-10-21 and 3.0.0 dated 2025-02-01

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Package constrainedKriging updated to version 0.2-10 with previous version 0.2-9 dated 2025-01-07

Title: Constrained, Covariance-Matching Constrained and Universal Point or Block Kriging
Description: Provides functions for efficient computation of non-linear spatial predictions with local change of support (Hofer, C. and Papritz, A. (2011) "constrainedKriging: An R-package for customary, constrained and covariance-matching constrained point or block kriging" <doi:10.1016/j.cageo.2011.02.009>). This package supplies functions for two-dimensional spatial interpolation by constrained (Cressie, N. (1993) "Aggregation in geostatistical problems" <doi:10.1007/978-94-011-1739-5_3>), covariance-matching constrained (Aldworth, J. and Cressie, N. (2003) "Prediction of nonlinear spatial functionals" <doi:10.1016/S0378-3758(02)00321-X>) and universal (external drift) Kriging for points or blocks of any shape from data with a non-stationary mean function and an isotropic weakly stationary covariance function. The linear spatial interpolation methods, constrained and covariance-matching constrained Kriging, provide approximately unbiased prediction for non-linear target value [...truncated...]
Author: Christoph Hofer [aut], Andreas Papritz [ctb, cre]
Maintainer: Andreas Papritz <papritz@retired.ethz.ch>

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Package stars updated to version 0.6-8 with previous version 0.6-7 dated 2024-11-07

Title: Spatiotemporal Arrays, Raster and Vector Data Cubes
Description: Reading, manipulating, writing and plotting spatiotemporal arrays (raster and vector data cubes) in 'R', using 'GDAL' bindings provided by 'sf', and 'NetCDF' bindings by 'ncmeta' and 'RNetCDF'.
Author: Edzer Pebesma [aut, cre] , Michael Sumner [ctb] , Etienne Racine [ctb], Adriano Fantini [ctb], David Blodgett [ctb], Krzysztof Dyba [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package Rgof updated to version 3.0.0 with previous version 2.1.1 dated 2024-10-21

Title: 1d Goodness of Fit Tests
Description: Routines that allow the user to run a large number of goodness-of-fit tests. It allows for data to be continuous or discrete. It includes routines to estimate the power of the tests and display them as a power graph. The routine run.studies allows a user to quickly study the power of a new method and how it compares to some of the standard ones.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

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Package kgraph updated to version 1.0.1 with previous version 1.0.0 dated 2024-09-20

Title: Knowledge Graphs Constructions and Visualizations
Description: Knowledge graphs enable to efficiently visualize and gain insights into large-scale data analysis results, as p-values from multiple studies or embedding data matrices. The usual workflow is a user providing a data frame of association studies results and specifying target nodes, e.g. phenotypes, to visualize. The knowledge graph then shows all the features which are significantly associated with the phenotype, with the edges being proportional to the association scores. As the user adds several target nodes and grouping information about the nodes such as biological pathways, the construction of such graphs soon becomes complex. The 'kgraph' package aims to enable users to easily build such knowledge graphs, and provides two main features: first, to enable building a knowledge graph based on a data frame of concepts relationships, be it p-values or cosine similarities; second, to enable determining an appropriate cut-off on cosine similarities from a complete embedding matrix, to enab [...truncated...]
Author: Thomas Charlon [aut, cre] , Hongyi Yuan [ctb] , CELEHS [aut] , PARSE Health [aut]
Maintainer: Thomas Charlon <charlon@protonmail.com>

Diff between kgraph versions 1.0.0 dated 2024-09-20 and 1.0.1 dated 2025-02-01

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Package distantia updated to version 2.0.2 with previous version 2.0.1 dated 2025-01-23

Title: Advanced Toolset for Efficient Time Series Dissimilarity Analysis
Description: Fast C++ implementation of Dynamic Time Warping for time series dissimilarity analysis, with applications in environmental monitoring and sensor data analysis, climate science, signal processing and pattern recognition, and financial data analysis. Built upon the ideas presented in Benito and Birks (2020) <doi:10.1111/ecog.04895>, provides tools for analyzing time series of varying lengths and structures, including irregular multivariate time series. Key features include individual variable contribution analysis, restricted permutation tests for statistical significance, and imputation of missing data via GAMs. Additionally, the package provides an ample set of tools to prepare and manage time series data.
Author: Blas M. Benito [aut, cre, cph]
Maintainer: Blas M. Benito <blasbenito@gmail.com>

Diff between distantia versions 2.0.1 dated 2025-01-23 and 2.0.2 dated 2025-02-01

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Package marginaleffects updated to version 0.25.0 with previous version 0.24.0 dated 2024-11-25

Title: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests
Description: Compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and machine learning models in R. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference. Details can be found in Arel-Bundock, Greifer, and Heiss (2024) <doi:10.18637/jss.v111.i09>.
Author: Vincent Arel-Bundock [aut, cre, cph] , Noah Greifer [ctb] , Etienne Bacher [ctb] , Grant McDermott [ctb] , Andrew Heiss [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package spEDM updated to version 1.3 with previous version 1.2 dated 2025-01-14

Title: Spatial Empirical Dynamic Modeling
Description: Inferring causal associations in cross-sectional earth system data with extensions to convergent cross mapping from Sugihara et al. (2012) <doi:10.1126/science.1227079> and partial cross mapping as described in Ma et al. (2020) <doi:10.1038/s41467-020-16238-0>.
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

Diff between spEDM versions 1.2 dated 2025-01-14 and 1.3 dated 2025-02-01

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Package RcppSpdlog updated to version 0.0.20 with previous version 0.0.19 dated 2024-11-11

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 [aut, cre] , Gabi Melman [aut] , Victor Zverovic [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSpdlog versions 0.0.19 dated 2024-11-11 and 0.0.20 dated 2025-02-01

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Package HQM updated to version 1.0 with previous version 0.1.4 dated 2024-12-12

Title: Superefficient Estimation of Future Conditional Hazards Based on Marker Information
Description: Provides a nonparametric smoothed kernel estimator for the future conditional hazard rate function when time-dependent covariates are present, a bandwidth selector for the estimator's implementation and pointwise and uniform confidence bands. Methods used in the package refer to Bagkavos, Isakson, Mammen, Nielsen and Proust-Lima (2025) <doi:10.1093/biomet/asaf008>.
Author: Dimitrios Bagkavos [aut, cre], Alex Isakson [ctb], Enno Mammen [ctb], Jens Nielsen [ctb], Cecile Proust-Lima [ctb]
Maintainer: Dimitrios Bagkavos <dimitrios.bagkavos@gmail.com>

Diff between HQM versions 0.1.4 dated 2024-12-12 and 1.0 dated 2025-02-01

 DESCRIPTION |    8 ++++----
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Package cgmanalysis updated to version 3.0.1 with previous version 3.0 dated 2025-01-30

Title: Clean and Analyze Continuous Glucose Monitor Data
Description: This code provides several different functions for cleaning and analyzing continuous glucose monitor data. Currently it works with 'Dexcom', 'iPro 2', 'Diasend', 'Libre', or 'Carelink' data. The cleandata() function takes a directory of CGM data files and prepares them for analysis. cgmvariables() iterates through a directory of cleaned CGM data files and produces a single spreadsheet with data for each file in either rows or columns. The column format of this spreadsheet is compatible with REDCap data upload. cgmreport() also iterates through a directory of cleaned data, and produces PDFs of individual and aggregate AGP plots. Please visit <https://github.com/childhealthbiostatscore/R-Packages/> to download the new-user guide.
Author: Tim Vigers [aut, cre]
Maintainer: Tim Vigers <timothy.vigers@cuanschutz.edu>

Diff between cgmanalysis versions 3.0 dated 2025-01-30 and 3.0.1 dated 2025-02-01

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Package cvdprevent updated to version 0.2.1 with previous version 0.2.0 dated 2024-10-16

Title: Wrapper for the 'CVD Prevent' Application Programming Interface
Description: Provides an R wrapper to the 'CVD Prevent' application programming interface (API). Users can make API requests through built-in R functions. The Cardiovascular Disease Prevention Audit (CVDPREVENT) is an England-wide primary care audit that automatically extracts routinely held GP health data. <https://bmchealthdocs.atlassian.net/wiki/spaces/CP/pages/317882369/CVDPREVENT+API+Documentation>.
Author: Craig Parylo [aut, cre, cph] , Cardiovascular Disease Prevention Audit [ant]
Maintainer: Craig Parylo <craig.parylo2@nhs.net>

Diff between cvdprevent versions 0.2.0 dated 2024-10-16 and 0.2.1 dated 2025-02-01

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Package sp updated to version 2.2-0 with previous version 2.1-4 dated 2024-04-30

Title: Classes and Methods for Spatial Data
Description: Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc. From this version, 'rgdal', 'maptools', and 'rgeos' are no longer used at all, see <https://r-spatial.org/r/2023/05/15/evolution4.html> for details.
Author: Edzer Pebesma [aut, cre], Roger Bivand [aut], Barry Rowlingson [ctb], Virgilio Gomez-Rubio [ctb], Robert Hijmans [ctb], Michael Sumner [ctb], Don MacQueen [ctb], Jim Lemon [ctb], Finn Lindgren [ctb], Josh O'Brien [ctb], Joseph O'Rourke [ctb], Patrick [...truncated...]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between sp versions 2.1-4 dated 2024-04-30 and 2.2-0 dated 2025-02-01

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More information about sp at CRAN
Permanent link

Package RStoolbox updated to version 1.0.1 with previous version 1.0.0 dated 2024-04-25

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>

Diff between RStoolbox versions 1.0.0 dated 2024-04-25 and 1.0.1 dated 2025-02-01

 DESCRIPTION                                                                       |   13 
 MD5                                                                               |  235 +-
 NAMESPACE                                                                         |  228 +-
 NEWS.md                                                                           |  553 ++---
 R/RStoolbox-package.R                                                             |  274 +-
 R/RcppExports.R                                                                   |  110 -
 R/classifyQA.R                                                                    |  216 -
 R/cloudMask.R                                                                     |  308 +-
 R/coregisterImages.R                                                              |  416 +--
 R/encodeQA.R                                                                      |  196 -
 R/estimateHaze.R                                                                  |  268 +-
 R/fCover.R                                                                        |  456 ++--
 R/fortify-raster.R                                                                |   32 
 R/getMeta.R                                                                       |  180 -
 R/getValidation.R                                                                 |  144 -
 R/ggR.R                                                                           |  392 +--
 R/ggRGB.R                                                                         |  470 ++--
 R/histMatch.R                                                                     |  280 +-
 R/internalFunctions.R                                                             |  895 ++++----
 R/mesma.R                                                                         |  355 +--
 R/mlc.R                                                                           |  166 -
 R/normImage.R                                                                     |  102 
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 R/pifMatch.R                                                                      |  238 +-
 R/radCor.R                                                                        |  576 ++---
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 R/rasterEntropy.R                                                                 |   50 
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 R/readEE.R                                                                        |  108 
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 R/readSLI.R                                                                       |  334 +--
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 R/rsOpts.R                                                                        |   38 
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 R/tasseledCap.R                                                                   |  138 -
 R/topCor.R                                                                        |  512 ++--
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 R/zzz.R                                                                           |   38 
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 man/srtm.Rd                                                                       |   32 
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 man/superClass.Rd                                                                 |    1 
 src/RcppExports.cpp                                                               |    7 
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 tests/testthat/test-entropy.R                                                     |   32 
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 tests/testthat/test-fCover.R                                                      |   70 
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 tests/testthat/test-getMeta.R                                                     |   52 
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 tests/testthat/test-histMatch.R                                                   |   24 
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 tests/testthat/test-mlc.R                                                         |   50 
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 tests/testthat/test-normImage.R                                                   |   92 
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 tests/testthat/test-panSharpen.R                                                  |   34 
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 tests/testthat/test-rasterCVA.R                                                   |   58 
 tests/testthat/test-rasterPCA.R                                                   |   60 
 tests/testthat/test-readEE.R                                                      |   26 
 tests/testthat/test-readMeta.R                                                    |   24 
 tests/testthat/test-rescaleImage.R                                                |   68 
 tests/testthat/test-rsOpts.R                                                      |   22 
 tests/testthat/test-sam.R                                                         |   70 
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 tests/testthat/test-stackMeta.R                                                   |   16 
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 tests/testthat/test-tasseledCap.R                                                 |   22 
 tests/testthat/test-topCor.R                                                      |   48 
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More information about RStoolbox at CRAN
Permanent link

Fri, 31 Jan 2025

Package shinyCox updated to version 1.1.3 with previous version 1.1.2 dated 2024-12-08

Title: Create 'shiny' Applications for Cox Proportional Hazards Models
Description: Takes one or more fitted Cox proportional hazards models and writes a 'shiny' application to a directory specified by the user. The 'shiny' application displays predicted survival curves based on user input, and contains none of the original data used to create the Cox model or models. The goal is towards visualization and presentation of predicted survival curves.
Author: Harrison Clement [aut, cre], Subodh Selukar [aut], Stanley Pounds [aut], St Jude Children's Research Hospital [fnd]
Maintainer: Harrison Clement <harrisonclement16@gmail.com>

Diff between shinyCox versions 1.1.2 dated 2024-12-08 and 1.1.3 dated 2025-01-31

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Package zonohedra updated to version 0.4-0 with previous version 0.3-0 dated 2024-07-09

Title: Compute and Plot Zonohedra from Vector Generators
Description: Computes a zonohedron from real vector generators. The package also computes zonogons (2D zonotopes) and zonosegs (1D zonotopes). An elementary S3 class for matroids is included, which supports matroids with rank 3, 2, and 1. Optimization methods are taken from Heckbert (1985) <https://www.cs.cmu.edu/~ph/zono.ps.gz>.
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

Diff between zonohedra versions 0.3-0 dated 2024-07-09 and 0.4-0 dated 2025-01-31

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Package RRPP updated to version 2.1.0 with previous version 2.0.4 dated 2024-11-13

Title: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure
Description: Linear model calculations are made for many random versions of data. Using residual randomization in a permutation procedure, sums of squares are calculated over many permutations to generate empirical probability distributions for evaluating model effects. This packaged is described by Collyer & Adams (2018). Additionally, coefficients, statistics, fitted values, and residuals generated over many permutations can be used for various procedures including pairwise tests, prediction, classification, and model comparison. This package should provide most tools one could need for the analysis of high-dimensional data, especially in ecology and evolutionary biology, but certainly other fields, as well.
Author: Michael Collyer [aut, cre] , Dean Adams [aut]
Maintainer: Michael Collyer <mlcollyer@gmail.com>

Diff between RRPP versions 2.0.4 dated 2024-11-13 and 2.1.0 dated 2025-01-31

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New package fedmatch with initial version 2.1.0
Package: fedmatch
Title: Fast, Flexible, and User-Friendly Record Linkage Methods
Version: 2.1.0
Description: Provides a flexible set of tools for matching two un-linked data sets. 'fedmatch' allows for three ways to match data: exact matches, fuzzy matches, and multi-variable matches. It also allows an easy combination of these three matches via the tier matching function.
Depends: R (>= 3.5.3)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: stringdist, SnowballC, stringr, purrr, Rcpp, parallel, forcats, data.table, magrittr, scales
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
LinkingTo: Rcpp, BH
NeedsCompilation: yes
Packaged: 2025-01-31 19:17:30 UTC; christopherwebster
Author: Melanie Friedrichs [aut], Chris Webster [aut, cre], Blake Marsh [aut], Jacob Dice [aut], Seung Lee [aut]
Maintainer: Chris Webster <chris0webster@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-31 22:40:02 UTC

More information about fedmatch at CRAN
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New package EmbedSOM with initial version 2.2
Package: EmbedSOM
Version: 2.2
Title: Fast Embedding Guided by Self-Organizing Map
Depends: R (>= 3.2)
Suggests: knitr, rmarkdown
Imports: ggplot2, igraph, Matrix, Rtsne, umap, uwot
Description: Provides a smooth mapping of multidimensional points into low-dimensional space defined by a self-organizing map. Designed to work with 'FlowSOM' and flow-cytometry use-cases. See Kratochvil et al. (2019) <doi:10.12688/f1000research.21642.1>.
License: GPL (>= 3)
URL: https://github.com/exaexa/EmbedSOM
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-31 20:08:19 UTC; exa
Author: Mirek Kratochvil [aut, cre], Sofie Van Gassen [cph], Britt Callebaut [cph], Yvan Saeys [cph], Ron Wehrens [cph]
Maintainer: Mirek Kratochvil <exa.exa@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-31 22:30:02 UTC

More information about EmbedSOM at CRAN
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Package ClustAssess updated to version 1.0.0 with previous version 0.3.0 dated 2022-01-26

Title: Tools for Assessing Clustering
Description: A set of tools for evaluating clustering robustness using proportion of ambiguously clustered pairs (Senbabaoglu et al. (2014) <doi:10.1038/srep06207>), as well as similarity across methods and method stability using element-centric clustering comparison (Gates et al. (2019) <doi:10.1038/s41598-019-44892-y>). Additionally, this package enables stability-based parameter assessment for graph-based clustering pipelines typical in single-cell data analysis.
Author: Andi Munteanu [aut, cre], Arash Shahsavari [aut], Rafael Kollyfas [ctb], Miguel Larraz Lopez de Novales [aut], Liviu Ciortuz [ctb], Irina Mohorianu [aut]
Maintainer: Andi Munteanu <am3019@cam.ac.uk>

Diff between ClustAssess versions 0.3.0 dated 2022-01-26 and 1.0.0 dated 2025-01-31

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Package BIEN updated to version 1.2.7 with previous version 1.2.6 dated 2023-01-06

Title: Tools for Accessing the Botanical Information and Ecology Network Database
Description: Provides Tools for Accessing the Botanical Information and Ecology Network Database. The BIEN database contains cleaned and standardized botanical data including occurrence, trait, plot and taxonomic data (See <https://bien.nceas.ucsb.edu/bien/> for more Information). This package provides functions that query the BIEN database by constructing and executing optimized SQL queries.
Author: Brian Maitner [aut, cre]
Maintainer: Brian Maitner <bmaitner@gmail.com>

Diff between BIEN versions 1.2.6 dated 2023-01-06 and 1.2.7 dated 2025-01-31

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Package tidychangepoint updated to version 1.0.0 with previous version 0.0.1 dated 2024-08-19

Title: A Tidy Framework for Changepoint Detection Analysis
Description: Changepoint detection algorithms for R are widespread but have different interfaces and reporting conventions. This makes the comparative analysis of results difficult. We solve this problem by providing a tidy, unified interface for several different changepoint detection algorithms. We also provide consistent numerical and graphical reporting leveraging the 'broom' and 'ggplot2' packages.
Author: Benjamin S. Baumer [aut, cre, cph] , Biviana Marcela Suarez Sierra [aut] , Arrigo Coen [aut] , Carlos A. Taimal [aut] , Xueheng Shi [ctb]
Maintainer: Benjamin S. Baumer <ben.baumer@gmail.com>

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Package scpi updated to version 3.0.0 with previous version 2.2.6 dated 2024-11-11

Title: Prediction Intervals for Synthetic Control Methods with Multiple Treated Units and Staggered Adoption
Description: Implementation of prediction and inference procedures for Synthetic Control methods using least square, lasso, ridge, or simplex-type constraints. Uncertainty is quantified with prediction intervals as developed in Cattaneo, Feng, and Titiunik (2021) <https://nppackages.github.io/references/Cattaneo-Feng-Titiunik_2021_JASA.pdf> for a single treated unit and in Cattaneo, Feng, Palomba, and Titiunik (2023) <doi:10.48550/arXiv.2210.05026> for multiple treated units and staggered adoption. More details about the software implementation can be found in Cattaneo, Feng, Palomba, and Titiunik (2024) <doi:10.48550/arXiv.2202.05984>.
Author: Matias Cattaneo [aut], Yingjie Feng [aut], Filippo Palomba [aut, cre], Rocio Titiunik [aut]
Maintainer: Filippo Palomba <fpalomba@princeton.edu>

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Package samplezoo updated to version 1.2.0 with previous version 1.1.1 dated 2024-12-02

Title: Generate Samples with a Variety of Probability Distributions
Description: Simplifies the process of generating samples from a variety of probability distributions, allowing users to quickly create data frames for demonstrations, troubleshooting, or teaching purposes. Data is available in multiple sizes—small, medium, and large. For more information, refer to the package documentation.
Author: Nicholas Vietto [aut, cre, cph]
Maintainer: Nicholas Vietto <nicholasvietto@gmail.com>

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New package RcppUUID with initial version 1.1.2
Package: RcppUUID
Title: Generating Universally Unique Identificators
Version: 1.1.2
Date: 2025-01-31
Description: Using the implementation in Boost C++ library, functions are provided to generate vectors of 'Universally Unique Identifiers (UUID)' from R supporting random (version 4) and name (version 5) 'UUIDs'. The initial repository was <https://gitlab.com/artemklevtsov/rcppuuid>.
URL: https://github.com/eddelbuettel/rcppuuid
BugReports: https://github.com/eddelbuettel/rcppuuid/issues
License: GPL (>= 2)
Imports: Rcpp
Suggests: tinytest, uuid, microbenchmark
LinkingTo: Rcpp, BH
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-01-31 16:58:00 UTC; edd
Author: Artem Klevtsov [aut] , Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2025-01-31 19:40:05 UTC

More information about RcppUUID at CRAN
Permanent link

Package attachment updated to version 0.4.3 with previous version 0.4.2 dated 2024-07-01

Title: Deal with Dependencies
Description: Manage dependencies during package development. This can retrieve all dependencies that are used in ".R" files in the "R/" directory, in ".Rmd" files in "vignettes/" directory and in 'roxygen2' documentation of functions. There is a function to update the "DESCRIPTION" file of your package with 'CRAN' packages or any other remote package. All functions to retrieve dependencies of ".R" scripts and ".Rmd" or ".qmd" files can be used independently of a package development.
Author: Vincent Guyader [cre, aut] , Sebastien Rochette [aut] , Murielle Delmotte [aut] , Swann Floc'hlay [aut] , ThinkR [cph, fnd]
Maintainer: Vincent Guyader <vincent@thinkr.fr>

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Package rredlist updated to version 1.0.0 with previous version 0.7.1 dated 2022-11-11

Title: 'IUCN' Red List Client
Description: 'IUCN' Red List (<https://api.iucnredlist.org/>) client. The 'IUCN' Red List is a global list of threatened and endangered species. Functions cover all of the Red List 'API' routes. An 'API' key is required.
Author: William Gearty [aut, cre], Scott Chamberlain [aut], rOpenSci [fnd] , Maelle Salmon [ctb], Kevin Cazelles [rev] , Stephanie Hazlitt [rev]
Maintainer: William Gearty <willgearty@gmail.com>

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Package teal.widgets updated to version 0.4.3 with previous version 0.4.2 dated 2023-12-14

Title: 'shiny' Widgets for 'teal' Applications
Description: Collection of 'shiny' widgets to support 'teal' applications. Enables the manipulation of application layout and plot or table settings.
Author: Dawid Kaledkowski [aut, cre], Pawel Rucki [aut], Mahmoud Hallal [aut], Nikolas Burkoff [aut], Maciej Nasinski [aut], Konrad Pagacz [aut], Junlue Zhao [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>

Diff between teal.widgets versions 0.4.2 dated 2023-12-14 and 0.4.3 dated 2025-01-31

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Permanent link

Package robomit updated to version 1.0.7 with previous version 1.0.6 dated 2021-06-22

Title: Robustness Checks for Omitted Variable Bias
Description: Robustness checks for omitted variable bias. The package includes robustness checks proposed by Oster (2019). The 'robomit' package computes i) the bias-adjusted treatment correlation or effect and ii) the degree of selection on unobservables relative to observables (with respect to the treatment variable) that would be necessary to eliminate the result based on the framework by Oster (2019). The code is based on the 'psacalc' command in 'Stata'. Additionally, 'robomit' offers a set of sensitivity analysis and visualization functions. See Oster, E. 2019. <doi:10.1080/07350015.2016.1227711>. Additionally, see Diegert, P., Masten, M. A., & Poirier, A. (2022) for a recent discussion of the topic: <doi:10.48550/arXiv.2206.02303>.
Author: Sergei Schaub [aut, cre] , ETH Zurich [cph]
Maintainer: Sergei Schaub <sergei.schaub@agroscope.admin.ch>

Diff between robomit versions 1.0.6 dated 2021-06-22 and 1.0.7 dated 2025-01-31

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More information about robomit at CRAN
Permanent link

Package gdm updated to version 1.6.0-6 with previous version 1.6.0-5 dated 2025-01-10

Title: Generalized Dissimilarity Modeling
Description: A toolkit with functions to fit, plot, summarize, and apply Generalized Dissimilarity Models. Mokany K, Ware C, Woolley SNC, Ferrier S, Fitzpatrick MC (2022) <doi:10.1111/geb.13459> Ferrier S, Manion G, Elith J, Richardson K (2007) <doi:10.1111/j.1472-4642.2007.00341.x>.
Author: Matt Fitzpatrick [aut, cre] , Karel Mokany [aut] , Glenn Manion [aut], Diego Nieto-Lugilde [aut] , Simon Ferrier [aut] , Roozbeh Valavi [ctb], Matthew Lisk [ctb], Chris Ware [ctb], Skip Woolley [ctb], Tom Harwood [ctb]
Maintainer: Matt Fitzpatrick <mfitzpatrick@umces.edu>

Diff between gdm versions 1.6.0-5 dated 2025-01-10 and 1.6.0-6 dated 2025-01-31

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More information about gdm at CRAN
Permanent link

New package xmap with initial version 0.1.0
Package: xmap
Title: Transforming Data Between Statistical Classifications
Version: 0.1.0
Description: Provides support for transformations of numeric aggregates between statistical classifications (e.g. occupation or industry categorisations) using the 'Crossmaps' framework. Implements classes for representing transformations between a source and target classification as graph structures, and methods for validating and applying crossmaps to transform data collected under the source classification into data indexed using the target classification codes. Documentation about the 'Crossmaps' framework is provided in the included vignettes and in Huang (2024, <doi:10.48550/arXiv.2406.14163>).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Maintainer: Cynthia A. Huang <cynthiahqy@gmail.com>
URL: https://github.com/cynthiahqy/xmap, https://cynthiahqy.github.io/xmap/
BugReports: https://github.com/cynthiahqy/xmap/issues
LazyData: true
Depends: R (>= 4.1)
Imports: cli (>= 3.4.0), dplyr (>= 1.1.0), methods, pillar (>= 1.6.0), rlang (>= 1.0.0), tibble, tidyr, tidyselect, vctrs (>= 0.6.0)
Suggests: knitr, purrr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-31 10:30:53 UTC; chua0032
Author: Cynthia A. Huang [aut, cre] , Laura Puzzello [aut, fnd]
Repository: CRAN
Date/Publication: 2025-01-31 16:10:01 UTC

More information about xmap at CRAN
Permanent link

Package targets updated to version 1.10.1 with previous version 1.10.0 dated 2025-01-13

Title: Dynamic Function-Oriented 'Make'-Like Declarative Pipelines
Description: Pipeline tools coordinate the pieces of computationally demanding analysis projects. The 'targets' package is a 'Make'-like pipeline tool for statistics and data science in R. The package skips costly runtime for tasks that are already up to date, orchestrates the necessary computation with implicit parallel computing, and abstracts files as R objects. If all the current output matches the current upstream code and data, then the whole pipeline is up to date, and the results are more trustworthy than otherwise. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Author: William Michael Landau [aut, cre] , Matthew T. Warkentin [ctb], Mark Edmondson [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between targets versions 1.10.0 dated 2025-01-13 and 1.10.1 dated 2025-01-31

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More information about targets at CRAN
Permanent link

Package tarchetypes updated to version 0.12.0 with previous version 0.11.0 dated 2024-11-15

Title: Archetypes for Targets
Description: Function-oriented Make-like declarative pipelines for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible pipelines concisely and compactly. The methods in this package were influenced by the 'targets' R package. by Will Landau (2018) <doi:10.21105/joss.00550>.
Author: William Michael Landau [aut, cre] , Rudolf Siegel [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between tarchetypes versions 0.11.0 dated 2024-11-15 and 0.12.0 dated 2025-01-31

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More information about tarchetypes at CRAN
Permanent link

New package StratifiedSampling with initial version 0.4.2
Package: StratifiedSampling
Title: Different Methods for Stratified Sampling
Version: 0.4.2
Description: Integrating a stratified structure in the population in a sampling design can considerably reduce the variance of the Horvitz-Thompson estimator. We propose in this package different methods to handle the selection of a balanced sample in stratified population. For more details see Raphaël Jauslin, Esther Eustache and Yves Tillé (2021) <doi:10.1007/s42081-021-00134-y>. The package propose also a method based on optimal transport and balanced sampling, see Raphaël Jauslin and Yves Tillé <doi:10.1016/j.jspi.2022.12.003>.
URL: https://github.com/RJauslin/StratifiedSampling
BugReports: https://github.com/RJauslin/StratifiedSampling/issues
License: GPL (>= 2)
Encoding: UTF-8
LinkingTo: RcppArmadillo, Rcpp
Imports: Rcpp, transport, proxy, MASS, sampling, Rglpk
Depends: Matrix, R (>= 3.5.0)
Suggests: knitr, rmarkdown, BalancedSampling, stats, testthat, StatMatch, laeken, prettydoc, ggplot2, viridis, geojsonio, sf, rmapshaper
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-31 12:48:04 UTC; Raphael
Author: Raphael Jauslin [aut, cre] , Esther Eustache [aut], Bardia Panahbehagh [aut] , Yves Tille [aut]
Maintainer: Raphael Jauslin <raphael.jauslin@bfs.admin.ch>
Repository: CRAN
Date/Publication: 2025-01-31 16:20:02 UTC

More information about StratifiedSampling at CRAN
Permanent link

Package HMMpa updated to version 1.0.2 with previous version 1.0.1 dated 2018-11-15

Title: Analysing Accelerometer Data Using Hidden Markov Models
Description: Analysing time-series accelerometer data to quantify length and intensity of physical activity using hidden Markov models. It also contains the traditional cut-off point method. Witowski V, Foraita R, Pitsiladis Y, Pigeot I, Wirsik N (2014). <doi:10.1371/journal.pone.0114089>.
Author: Vitali Witowski [aut], Foraita Ronja [cre, aut]
Maintainer: Foraita Ronja <foraita@leibniz-bips.de>

Diff between HMMpa versions 1.0.1 dated 2018-11-15 and 1.0.2 dated 2025-01-31

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Package distanceHD updated to version 1.2 with previous version 1.0 dated 2025-01-30

Title: Distance Metrics for High-Dimensional Clustering
Description: We provide three distance metrics for measuring the separation between two clusters in high-dimensional spaces. The first metric is the centroid distance, which calculates the Euclidean distance between the centers of the two groups. The second is a ridge Mahalanobis distance, which incorporates a ridge correction constant, alpha, to ensure that the covariance matrix is invertible. The third metric is the maximal data piling distance, which computes the orthogonal distance between the affine spaces spanned by each class. These three distances are asymptotically interconnected and are applicable in tasks such as discrimination, clustering, and outlier detection in high-dimensional settings.
Author: Jung Ae Lee [aut, cre], Jeongyoun Ahn [aut]
Maintainer: Jung Ae Lee <jungaeleeb@gmail.com>

Diff between distanceHD versions 1.0 dated 2025-01-30 and 1.2 dated 2025-01-31

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Package bioregion updated to version 1.2.0 with previous version 1.1.1-1 dated 2024-11-11

Title: Comparison of Bioregionalisation Methods
Description: The main purpose of this package is to propose a transparent methodological framework to compare bioregionalisation methods based on hierarchical and non-hierarchical clustering algorithms (Kreft & Jetz (2010) <doi:10.1111/j.1365-2699.2010.02375.x>) and network algorithms (Lenormand et al. (2019) <doi:10.1002/ece3.4718> and Leroy et al. (2019) <doi:10.1111/jbi.13674>).
Author: Maxime Lenormand [aut, cre] , Boris Leroy [aut] , Pierre Denelle [aut]
Maintainer: Maxime Lenormand <maxime.lenormand@inrae.fr>

Diff between bioregion versions 1.1.1-1 dated 2024-11-11 and 1.2.0 dated 2025-01-31

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Package tidycensus updated to version 1.7.1 with previous version 1.7.0 dated 2025-01-23

Title: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
Description: An integrated R interface to several United States Census Bureau APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping and spatial analysis.
Author: Kyle Walker [aut, cre], Matt Herman [aut], Kris Eberwein [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

Diff between tidycensus versions 1.7.0 dated 2025-01-23 and 1.7.1 dated 2025-01-31

 DESCRIPTION             |    8 ++++----
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New package SurvImpute with initial version 0.1.0
Package: SurvImpute
Title: Multiple Imputation for Missing Covariates in Time-to-Event Data
Version: 0.1.0
Maintainer: Qinghua Lian <qlian@mcw.edu>
Description: Generates multiple imputed datasets from a substantive model compatible fully conditional specification model for time-to-event data. Our method assumes that the censoring process also depends on the covariates with missing values. Details will be available in an upcoming publication.
License: GPL-3
Imports: survival, VGAM, MASS
Suggests: mitools
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-31 05:45:42 UTC; qinghua
Author: Qinghua Lian [aut, cre, cph], Soyoung Kim [aut], Michael J. Martens [aut], Kwang Woo Ahn [aut]
Repository: CRAN
Date/Publication: 2025-01-31 15:40:05 UTC

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New package shortr with initial version 1.0.0
Package: shortr
Title: Optimal Subset Identification in Undirected Weighted Network Models
Version: 1.0.0
Description: Identifies what optimal subset of a desired number of items should be retained in a short version of a psychometric instrument to assess the “broadest” proportion of the construct-level content of the set of items included in the original version of the said psychometric instrument. Expects a symmetric adjacency matrix as input (undirected weighted network model). Supports brute force and simulated annealing combinatorial search algorithms.
Depends: R (>= 4.1.0)
Imports: stats, utils
URL: https://github.com/lfourni2/shortr
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-30 20:40:03 UTC; loisfournier
Author: Lois Fournier [aut, cre] , Alexandre Heeren [aut] , Stephanie Baggio [aut] , Luke Clark [aut] , Antonio Verdejo-Garcia [aut] , Jose C. Perales [aut] , Joel Billieux [aut]
Maintainer: Lois Fournier <lois.fournier@unil.ch>
Repository: CRAN
Date/Publication: 2025-01-31 15:30:06 UTC

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New package networksem with initial version 0.2
Package: networksem
Title: Network Structural Equation Modeling
Version: 0.2
Maintainer: Zhiyong Zhang <johnnyzhz@gmail.com>
Description: Several methods have been developed to integrate structural equation modeling techniques with network data analysis to examine the relationship between network and non-network data. Both node-based and edge-based information can be extracted from the network data to be used as observed variables in structural equation modeling. To facilitate the application of these methods, model specification can be performed in the familiar syntax of the 'lavaan' package, ensuring ease of use for researchers. Technical details and examples can be found at <https://bigsem.psychstat.org>.
License: GPL
Imports: sna, influential, lavaan, network, igraph, methods
Depends: latentnet
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-30 17:35:44 UTC; ziqianxu
Author: Zhiyong Zhang [aut, cre] , Ziqian Xu [aut]
Repository: CRAN
Date/Publication: 2025-01-31 15:20:02 UTC

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New package MultiGrey with initial version 0.1.0
Package: MultiGrey
Title: Fitting and Forecasting of Grey Model for Multivariate Time Series Data
Version: 0.1.0
Depends: R(>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Description: Grey model is commonly used in time series forecasting when statistical assumptions are violated with a limited number of data points. The minimum number of data points required to fit a grey model is four observations. This package fits Grey model of First order and One Variable, i.e., GM (1,1) for multivariate time series data and returns the parameters of the model, model evaluation criteria and h-step ahead forecast values for each of the time series variables. For method details see, Akay, D. and Atak, M. (2007) <DOI:10.1016/j.energy.2006.11.014>, Hsu, L. and Wang, C. (2007).<DOI:10.1016/j.techfore.2006.02.005>.
License: GPL (>= 2.0)
Encoding: UTF-8
Imports: zoo, stats
NeedsCompilation: no
Packaged: 2025-01-31 09:15:13 UTC; Pradip Basak
Author: Pradip Basak [aut, cph, cre], Nobin Chandra Paul [aut, cph]
Maintainer: Pradip Basak <pradip@ubkv.ac.in>
Repository: CRAN
Date/Publication: 2025-01-31 16:00:02 UTC

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New package mtrank with initial version 0.1-0
Package: mtrank
Title: Ranking using Probabilistic Models and Treatment Choice Criteria
Version: 0.1-0
Date: 2025-01-31
Depends: R (>= 4.0.0), meta (>= 8.0-2), netmeta (>= 3.0-2)
Imports: PlackettLuce, dplyr, magrittr
Suggests: rmarkdown, knitr
Maintainer: Theodoros Evrenoglou <theodoros.evrenoglou@uniklinik-freiburg.de>
URL: https://github.com/TEvrenoglou/mtrank
Description: Implementation of a novel frequentist approach to produce clinically relevant treatment hierarchies in network meta-analysis. The method is based on treatment choice criteria (TCC) and probabilistic ranking models, as described by Evrenoglou et al. (2024) <DOI:10.48550/arXiv.2406.10612>. The TCC are defined using a rule based on the minimal clinically important difference. Using the defined TCC, the study-level data (i.e., treatment effects and standard errors) are first transformed into a preference format, indicating either a treatment preference (e.g., treatment A > treatment B) or a tie (treatment A = treatment B). The preference data are then synthesized using a probabilistic ranking model, which estimates the latent ability parameter of each treatment and produces the final treatment hierarchy. This parameter represents each treatment’s ability to outperform all the other competing treatments in the network. Consequently, larger ability estimates indicate higher position [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-31 08:00:28 UTC; sc
Author: Theodoros Evrenoglou [aut, cre] , Guido Schwarzer [aut]
Repository: CRAN
Date/Publication: 2025-01-31 15:50:01 UTC

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New package MRMCbinary with initial version 1.0.4
Package: MRMCbinary
Title: Multi-Reader Multi-Case Analysis of Binary Diagnostic Tests
Version: 1.0.4
Description: The goal of 'MRMCbinary' is to compare the performance of diagnostic tests (i.e., sensitivity and specificity) for binary outcomes in multi-reader multi-case (MRMC) studies. It is based on conditional logistic regression and Cochran’s Q test (or McNemar’s test when the number of modalities is equal to 2).
License: MIT + file LICENSE
URL: https://github.com/seungjae2525/MRMCbinary
BugReports: https://github.com/seungjae2525/MRMCbinary/issues
Depends: R (>= 4.2.0)
Imports: DescTools, stats, survival
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-31 04:45:19 UTC; seung
Author: Seungjae Lee [aut, cre] , Woojoo Lee [aut]
Maintainer: Seungjae Lee <seungjae2525@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-31 15:40:08 UTC

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Package MBBEFDLite updated to version 0.0.5 with previous version 0.0.4 dated 2024-07-24

Title: Statistical Functions for the Maxwell-Boltzmann-Bose-Einstein-Fermi-Dirac (MBBEFD) Family of Distributions
Description: Provides probability mass, distribution, quantile, random variate generation, and method-of-moments parameter fitting for the MBBEFD family of distributions used in insurance modeling as described in Bernegger (1997) <doi:10.2143/AST.27.1.563208> without any external dependencies.
Author: Avraham Adler [aut, cre, cph]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

Diff between MBBEFDLite versions 0.0.4 dated 2024-07-24 and 0.0.5 dated 2025-01-31

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Package hardhat updated to version 1.4.1 with previous version 1.4.0 dated 2024-06-02

Title: Construct Modeling Packages
Description: Building modeling packages is hard. A large amount of effort generally goes into providing an implementation for a new method that is efficient, fast, and correct, but often less emphasis is put on the user interface. A good interface requires specialized knowledge about S3 methods and formulas, which the average package developer might not have. The goal of 'hardhat' is to reduce the burden around building new modeling packages by providing functionality for preprocessing, predicting, and validating input.
Author: Hannah Frick [aut, cre] , Davis Vaughan [aut], Max Kuhn [aut], Posit Software, PBC [cph, fnd]
Maintainer: Hannah Frick <hannah@posit.co>

Diff between hardhat versions 1.4.0 dated 2024-06-02 and 1.4.1 dated 2025-01-31

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 man/validate_outcomes_are_factors.Rd               |    6 
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 tests/testthat/_snaps/spruce.md                    |   72 ++
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 tests/testthat/test-forge-formula.R                |  118 +--
 tests/testthat/test-forge-recipe.R                 |  133 ++-
 tests/testthat/test-forge-xy.R                     |  110 +--
 tests/testthat/test-intercept.R                    |    6 
 tests/testthat/test-levels.R                       |    6 
 tests/testthat/test-model-matrix.R                 |   35 
 tests/testthat/test-model-offset.R                 |   12 
 tests/testthat/test-mold-formula.R                 |  108 +--
 tests/testthat/test-mold-recipe.R                  |   52 +
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 tests/testthat/test-standardize.R                  |   10 
 tests/testthat/test-tune.R                         |    6 
 tests/testthat/test-use.R                          |    6 
 tests/testthat/test-validation.R                   |   78 +-
 vignettes/forge.Rmd                                |    9 
 vignettes/mold.Rmd                                 |    9 
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Package ggfootball updated to version 0.2.0 with previous version 0.1.0 dated 2025-01-30

Title: Plotting Expected Goals (xG) Stats with 'Understat' Data
Description: Scrapes shots data from 'Understat' <https://understat.com/> and visualizes it using interactive plots: - A detailed shot map displaying the location, type, and xG value of shots taken by both teams. - An xG timeline chart showing the cumulative xG for each team over time, annotated with the details of scored goals.
Author: Aymen Nasri [aut, cre, cph]
Maintainer: Aymen Nasri <aymennasrii@proton.me>

Diff between ggfootball versions 0.1.0 dated 2025-01-30 and 0.2.0 dated 2025-01-31

 DESCRIPTION     |    8 ++++----
 MD5             |   14 +++++++-------
 NEWS.md         |   19 ++++++++++++++-----
 R/xg_chart.R    |   13 +++++++------
 R/xg_map.R      |    4 ++--
 README.md       |   10 ++++++----
 man/xg_chart.Rd |   17 ++++++++++-------
 man/xg_map.Rd   |    6 +++---
 8 files changed, 53 insertions(+), 38 deletions(-)

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New package ggsurveillance with initial version 0.1.1
Package: ggsurveillance
Title: Tools and 'ggplot2' Extensions for Infectious Disease Surveillance and Outbreak Investigation
Version: 0.1.1
Description: Create epicurves or epigantt charts in 'ggplot2'. Prepare data for visualisation or other reporting for infectious disease surveillance and outbreak investigation. Includes functions to solve date based transformations for common reporting tasks, like (A) seasonal date alignment for respiratory disease surveillance, (B) date-based case binning based on specified time intervals like isoweek, epiweek, month and more, (C) automated detection and marking of the new year based on the date/datetime axis of the 'ggplot2'. An introduction on how to use epicurves can be found on the US CDC website (2012, <https://www.cdc.gov/training/quicklearns/epimode/index.html>).
License: GPL (>= 3)
URL: https://ggsurveillance.biostats.dev, https://github.com/biostats-dev/ggsurveillance
BugReports: https://github.com/biostats-dev/ggsurveillance/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, forcats, ggplot2, glue, ISOweek, lubridate, rlang, scales, stringr, tidyr, tidyselect, tsibble
Suggests: Hmisc, knitr, outbreaks, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-31 08:54:46 UTC; Alex
Author: Alexander Bartel [aut, cre]
Maintainer: Alexander Bartel <alexander.bartel@fu-berlin.de>
Repository: CRAN
Date/Publication: 2025-01-31 15:50:05 UTC

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Package bibliorefer updated to version 0.1.1 with previous version 0.1.0 dated 2024-03-08

Title: Generator of Main Scientific References
Description: Generates a list, with a size defined by the user, containing the main scientific references and the frequency distribution of authors and journals in the list obtained. The database is a dataframe with academic production metadata made available by bibliographic collections such as Scopus, Web of Science, etc. The temporal evolution of scientific production on a given topic is presented and ordered lists of articles are constructed by number of citations and of authors and journals by level of productivity. Massimo Aria, Corrado Cuccurullo. (2017) <doi:10.1016/j.joi.2017.08.007>. Caibo Zhou, Wenyan Song. (2021) <doi:10.1016/j.jclepro.2021.126943>.
Author: Marcio Eustaquio [aut, cre]
Maintainer: Marcio Eustaquio <marcioeustaquio@id.uff.br>

Diff between bibliorefer versions 0.1.0 dated 2024-03-08 and 0.1.1 dated 2025-01-31

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Package IndGenErrors updated to version 0.1.6 with previous version 0.1.4 dated 2023-06-30

Title: Tests of Independence Between Innovations of Generalized Error Models
Description: Computation of test statistics of independence between (continuous) innovations of time series. They can be used with stochastic volatility models and Hidden Markov Models (HMM). This improves the results in Duchesne, Ghoudi & Remillard (2012) <doi:10.1002/cjs.11141>.
Author: Kilani Ghoudi [aut, ctb, cph], Bouchra R. Nasri [aut, ctb, cph], Bruno N Remillard [aut, cre, cph], Pierre Duchesne [aut, ctb, cph]
Maintainer: Bruno N Remillard <bruno.remillard@hec.ca>

Diff between IndGenErrors versions 0.1.4 dated 2023-06-30 and 0.1.6 dated 2025-01-31

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 IndGenErrors-0.1.6/IndGenErrors/R/CrossCorrelogram.R         |    2 
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Package iadf updated to version 0.1.3 with previous version 0.1.2 dated 2021-05-24

Title: Analysis of Intra Annual Density Fluctuations
Description: Calculate false ring proportions from data frames of intra annual density fluctuations.
Author: Konrad Mayer [aut, cre], Filipe Campelo [aut]
Maintainer: Konrad Mayer <konrad.mayer@gmail.com>

Diff between iadf versions 0.1.2 dated 2021-05-24 and 0.1.3 dated 2025-01-31

 DESCRIPTION                        |    8 -
 MD5                                |   18 +-
 NAMESPACE                          |    1 
 NEWS.md                            |    4 
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 R/tidy.R                           |    9 -
 README.md                          |   28 ++--
 build/vignette.rds                 |binary
 inst/doc/falsering-proportion.R    |   24 +--
 inst/doc/falsering-proportion.html |   98 +++++++++------
 10 files changed, 178 insertions(+), 243 deletions(-)

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New package zigg with initial version 0.0.1
Package: zigg
Title: Lightweight Interfaces to the 'Ziggurat' Pseudo Random Number Generator
Version: 0.0.1
Date: 2025-01-30
Description: The 'Ziggurat' pseudo-random number generator (or PRNG), introduced by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>) and further improved by Leong et al (2005, <doi:10.18637/jss.v012.i07>), offers a lightweight and very fast PRNG for the normal, exponential, and uniform distributions. It is provided here in a small zero-dependency package. It can be used from R as well as from 'C/C++' code in other packages as is demonstrated by four included sample packages using four distinct methods to use the PRNG presented here in client package. The implementation is influenced by our package 'RcppZiggurat' which offers a comparison among multiple alternative implementations but presented here in a lighter-weight implementation that is easier to use by other packages. The PRNGs provided are generally faster than the ones in base R: on our machine, the relative gains for normal, exponential and uniform are on the order of 7.4, 5.2 and 4.7 times faster than base R. However, th [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-01-30 12:58:26 UTC; edd
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2025-01-31 11:20:02 UTC

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New package rmonocypher with initial version 0.1.8
Package: rmonocypher
Title: Easy Encryption of R Objects using Strong Modern Cryptography
Version: 0.1.8
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: Encrypt R objects to a raw vector or file using modern cryptographic techniques. Password-based key derivation is with 'Argon2' (<https://en.wikipedia.org/wiki/Argon2>). Objects are serialized and then encrypted using 'XChaCha20-Poly1305' (<https://en.wikipedia.org/wiki/ChaCha20-Poly1305>) which follows RFC 8439 for authenticated encryption (<https://en.wikipedia.org/wiki/Authenticated_encryption>). Cryptographic functions are provided by the included 'monocypher' 'C' library (<https://monocypher.org>).
URL: https://github.com/coolbutuseless/rmonocypher
BugReports: https://github.com/coolbutuseless/rmonocypher/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.4.0)
Copyright: This package includes the 'monocypher' library written by Loup Vaillant, Michael Savage and Fabio Scotomi. This library is included under its CC-0 license. See file 'inst/LICENSE-monocypher.md' for detailed licensing information.
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-30 10:03:19 UTC; mike
Author: Mike Cheng [aut, cre, cph], Loup Vaillant [aut, cph] , Michael Savage [aut, cph] , Fabio Scotomi [aut, cph]
Repository: CRAN
Date/Publication: 2025-01-31 11:10:02 UTC

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New package forgts with initial version 0.0.1
Package: forgts
Title: Convert Formatted Spreadsheets to Presentation-Ready Display Tables
Version: 0.0.1
Description: Reads cell contents plus formatting from a spreadsheet file and creates an editable 'gt' object with the same data and formatting. Supports the most commonly-used cell and text styles including colors, fills, font weights and decorations, and borders.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, gt, purrr, readxl, rlang, tibble, tidyr, tidyxl
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/luisDVA/forgts, https://luisdva.github.io/forgts/
BugReports: https://github.com/luisDVA/forgts/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-30 17:54:16 UTC; luisd
Author: Luis D. Verde Arregoitia [aut, cre, cph]
Maintainer: Luis D. Verde Arregoitia <luis@liomys.mx>
Repository: CRAN
Date/Publication: 2025-01-31 11:40:04 UTC

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New package DDPstar with initial version 1.0-1
Package: DDPstar
Title: Density Regression via Dirichlet Process Mixtures of Normal Structured Additive Regression Models
Version: 1.0-1
Date: 2025-01-30
Imports: stats, grDevices, graphics, splines, moments, Matrix, parallel, MASS
Depends: R (>= 3.5.0)
Description: Implements a flexible, versatile, and computationally tractable model for density regression based on a single-weights dependent Dirichlet process mixture of normal distributions model for univariate continuous responses. The model assumes an additive structure for the mean of each mixture component and the effects of continuous covariates are captured through smooth nonlinear functions. The key components of our modelling approach are penalised B-splines and their bivariate tensor product extension. The proposed method can also easily deal with parametric effects of categorical covariates, linear effects of continuous covariates, interactions between categorical and/or continuous covariates, varying coefficient terms, and random effects. Please see Rodriguez-Alvarez, Inacio et al. (2025) for more details.
License: GPL
NeedsCompilation: no
Packaged: 2025-01-30 11:41:24 UTC; mrodriguez
Author: Maria Xose Rodriguez-Alvarez [aut, cre] , Vanda Inacio [aut]
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez@uvigo.gal>
Repository: CRAN
Date/Publication: 2025-01-31 11:10:09 UTC

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New package compdb with initial version 0.0.1
Package: compdb
Title: Generate Compilation Database for Use with 'Clang' Tools
Version: 0.0.1
Description: Many modern C/C++ development tools in the 'clang' toolchain, such as 'clang-tidy' or 'clangd', rely on the presence of a compilation database in JSON format <https://clang.llvm.org/docs/JSONCompilationDatabase.html>. This package temporarily injects additional build flags into the R build process to generate such a compilation database.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
OS_type: unix
SystemRequirements: Clang >= 5.0
Imports: tools, callr, cli, pkgbuild, utils, withr
URL: https://github.com/cyianor/r-compdb
BugReports: https://github.com/cyianor/r-compdb/issues
Suggests: fs, jsonlite, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-01-30 10:13:09 UTC; felixheld
Author: Felix Held [aut, cre]
Maintainer: Felix Held <felix.held@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-31 11:10:06 UTC

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New package YEAB with initial version 1.0.6
Package: YEAB
Title: Analyze Data from Analysis of Behavior Experiments
Version: 1.0.6
Description: Analyze data from behavioral experiments conducted using 'MED-PC' software developed by Med Associates Inc. Includes functions to fit exponential and hyperbolic models for delay discounting tasks, exponential mixtures for inter-response times, and Gaussian plus ramp models for peak procedure data, among others. For more details, refer to Alcala et al. (2023) <doi:10.31234/osf.io/8aq2j>.
Encoding: UTF-8
Imports: cluster, doParallel, data.table, dplyr, FNN, foreach, ggplot2, boot, grid, gridExtra, infotheo, ks, magrittr, minpack.lm, Polychrome, scales, sfsmisc, MASS, KernSmooth, zoo, usethis, stats, utils
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Author: Emmanuel Alcala [aut, cre], Rodrigo Sosa [aut], Victor Reyes [aut]
Maintainer: Emmanuel Alcala <jealcalat@gmail.com>
Date: 2025-01-23
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-29 19:10:08 UTC; jealcalat
Repository: CRAN
Date/Publication: 2025-01-31 11:00:14 UTC

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Package tramvs updated to version 0.0-7 with previous version 0.0-6 dated 2024-09-04

Title: Optimal Subset Selection for Transformation Models
Description: Greedy optimal subset selection for transformation models (Hothorn et al., 2018, <doi:10.1111/sjos.12291> ) based on the abess algorithm (Zhu et al., 2020, <doi:10.1073/pnas.2014241117> ). Applicable to models from packages 'tram' and 'cotram'. Application to shift-scale transformation models are described in Siegfried et al. (2024, <doi:10.1080/00031305.2023.2203177>).
Author: Lucas Kook [aut, cre] , Sandra Siegfried [ctb], Torsten Hothorn [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>

Diff between tramvs versions 0.0-6 dated 2024-09-04 and 0.0-7 dated 2025-01-31

 DESCRIPTION         |   17 ++++---
 MD5                 |    8 +--
 R/tramvs.R          |  115 +++++++++++++++++++++++++++++++++-------------------
 build/vignette.rds  |binary
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New package survNMA with initial version 1.1-1
Package: survNMA
Title: Network Meta-Analysis Combining Survival and Count Outcomes
Version: 1.1-1
Date: 2025-01-30
Maintainer: Hisashi Noma <noma@ism.ac.jp>
Description: Network meta-analysis for survival outcome data often involves several studies only involve dichotomized outcomes (e.g., the numbers of event and sample sizes of individual arms). To combine these different outcome data, Woods et al. (2010) <doi:10.1186/1471-2288-10-54> proposed a Bayesian approach using complicated hierarchical models. Besides, frequentist approaches have been alternative standard methods for the statistical analyses of network meta-analysis, and the methodology has been well established. We proposed an easy-to-implement method for the network meta-analysis based on the frequentist framework in Noma and Maruo (2025) <doi:10.1101/2025.01.23.25321051>. This package involves some convenient functions to implement the simple synthesis method.
URL: https://doi.org/10.1101/2025.01.23.25321051
Depends: R (>= 3.5.0)
Imports: stats, netmeta
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-30 07:22:27 UTC; Hisashi
Author: Hisashi Noma [aut, cre]
Repository: CRAN
Date/Publication: 2025-01-31 11:00:02 UTC

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Package popEpi updated to version 0.4.13 with previous version 0.4.12 dated 2024-05-10

Title: Functions for Epidemiological Analysis using Population Data
Description: Enables computation of epidemiological statistics, including those where counts or mortality rates of the reference population are used. Currently supported: excess hazard models (Dickman, Sloggett, Hills, and Hakulinen (2012) <doi:10.1002/sim.1597>), rates, mean survival times, relative/net survival (in particular the Ederer II (Ederer and Heise (1959)) and Pohar Perme (Pohar Perme, Stare, and Esteve (2012) <doi:10.1111/j.1541-0420.2011.01640.x>) estimators), and standardized incidence and mortality ratios, all of which can be easily adjusted for by covariates such as age. Fast splitting and aggregation of 'Lexis' objects (from package 'Epi') and other computations achieved using 'data.table'.
Author: Joonas Miettinen [cre, aut] , Matti Rantanen [aut], Karri Seppa [ctb]
Maintainer: Joonas Miettinen <joonas.miettinen@cancer.fi>

Diff between popEpi versions 0.4.12 dated 2024-05-10 and 0.4.13 dated 2025-01-31

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 R/survival_lexis.R                                     |  324 +++---
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 man/plot.sirspline.Rd                                  |    6 
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 man/popEpi-package.Rd                                  |    8 
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 man/rate.Rd                                            |   30 
 man/rate_ratio.Rd                                      |   16 
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 man/robust_values.Rd                                   |    2 
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New package fkbma with initial version 0.1.0
Package: fkbma
Title: Free Knot-Bayesian Model Averaging
Version: 0.1.0
Maintainer: Lara Maleyeff <lara.maleyeff@mcgill.ca>
Description: Analysis of Bayesian adaptive enrichment clinical trial using Free-Knot Bayesian Model Averaging (FK-BMA) method of Maleyeff et al. (2024) for Gaussian data. Maleyeff, L., Golchi, S., Moodie, E. E. M., & Hudson, M. (2024) "An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of predictive variables" <doi:10.1093/biomtc/ujae141>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: rstan, matrixStats, splines, dplyr, coda, MASS, ggplot2, cowplot, rlang
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-01-29 20:34:44 UTC; laramaleyeff
Author: Lara Maleyeff [aut, cre], Shirin Golchi [aut], Erica E. M. Moodie [aut]
Repository: CRAN
Date/Publication: 2025-01-31 10:50:02 UTC

More information about fkbma at CRAN
Permanent link

Package exametrika updated to version 1.2.0 with previous version 1.1.0 dated 2024-11-22

Title: Test Theory Analysis and Biclustering
Description: Implements comprehensive test data engineering methods as described in Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for engineering and processing test data: Classical Test Theory (CTT) with reliability coefficients for continuous ability assessment; Item Response Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank Analysis (LRA) for ordinal clustering with automatic determination of cluster numbers; Biclustering methods including infinite relational models for simultaneous clustering of examinees and items without predefined cluster numbers; and Bayesian Network Models (BNM) for visualizing inter-item dependencies. Features local dependence analysis through LRA and biclustering, parameter estimation, dimensionality assessment, and network structure visualization for educational, psychological, and social science research.
Author: Koji Kosugi [aut, cre]
Maintainer: Koji Kosugi <kosugitti@gmail.com>

Diff between exametrika versions 1.1.0 dated 2024-11-22 and 1.2.0 dated 2025-01-31

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Package editbl updated to version 1.1.0 with previous version 1.0.5 dated 2024-05-21

Title: 'DT' Extension for CRUD (Create, Read, Update, Delete) Applications in 'shiny'
Description: The core of this package is a function eDT() which enhances DT::datatable() such that it can be used to interactively modify data in 'shiny'. By the use of generic 'dplyr' methods it supports many types of data storage, with relational databases ('dbplyr') being the main use case.
Author: Jasper Schelfhout [aut, cre], Maxim Nazarov [rev], Daan Seynaeve [rev], Lennart Tuijnder [rev]
Maintainer: Jasper Schelfhout <jasper.schelfhout@openanalytics.eu>

Diff between editbl versions 1.0.5 dated 2024-05-21 and 1.1.0 dated 2025-01-31

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Package ecospat updated to version 4.1.2 with previous version 4.1.1 dated 2024-07-04

Title: Spatial Ecology Miscellaneous Methods
Description: Collection of R functions and data sets for the support of spatial ecology analyses with a focus on pre, core and post modelling analyses of species distribution, niche quantification and community assembly. Written by current and former members and collaborators of the ecospat group of Antoine Guisan, Department of Ecology and Evolution (DEE) and Institute of Earth Surface Dynamics (IDYST), University of Lausanne, Switzerland. Read Di Cola et al. (2016) <doi:10.1111/ecog.02671> for details.
Author: Olivier Broennimann [cre, aut, ctb], Valeria Di Cola [aut, ctb], Blaise Petitpierre [ctb], Frank Breiner [ctb], Daniel Scherrer [ctb], Manuela D`Amen [ctb], Christophe Randin [ctb], Robin Engler [ctb], Wim Hordijk [ctb], Heidi Mod [ctb], Julien Potti [...truncated...]
Maintainer: Olivier Broennimann <olivier.broennimann@unil.ch>

Diff between ecospat versions 4.1.1 dated 2024-07-04 and 4.1.2 dated 2025-01-31

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Permanent link

New package connectcreds with initial version 0.1.0
Package: connectcreds
Title: Manage 'OAuth' Credentials from 'Posit Connect'
Version: 0.1.0
Description: A toolkit for making use of credentials mediated by 'Posit Connect'. It handles the details of communicating with the Connect API correctly, 'OAuth' token caching, and refresh behaviour.
License: MIT + file LICENSE
Imports: cli, httr2 (>= 1.1.0), rlang (>= 1.1.0)
Suggests: testthat (>= 3.0.0), withr
Encoding: UTF-8
URL: https://github.com/posit-dev/connectcreds
BugReports: https://github.com/posit-dev/connectcreds/issues
NeedsCompilation: no
Packaged: 2025-01-30 02:24:37 UTC; aaron
Author: Aaron Jacobs [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Aaron Jacobs <aaron.jacobs@posit.co>
Repository: CRAN
Date/Publication: 2025-01-31 11:00:11 UTC

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Package comets updated to version 0.1-1 with previous version 0.1-0 dated 2024-12-06

Title: Covariance Measure Tests for Conditional Independence
Description: Covariance measure tests for conditional independence testing against conditional covariance and nonlinear conditional mean alternatives. The package implements versions of the generalised covariance measure test (Shah and Peters, 2020, <doi:10.1214/19-aos1857>) and projected covariance measure test (Lundborg et al., 2023, <doi:10.1214/24-AOS2447>). The tram-GCM test, for censored responses, is implemented including the Cox model and survival forests (Kook et al., 2024, <doi:10.1080/01621459.2024.2395588>). Application examples to variable significance testing and modality selection can be found in Kook and Lundborg (2024, <doi:10.1093/bib/bbae475>).
Author: Lucas Kook [aut, cre] , Anton Rask Lundborg [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>

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Package tramicp updated to version 0.1-0 with previous version 0.0-2 dated 2024-03-14

Title: Model-Based Causal Feature Selection for General Response Types
Description: Extends invariant causal prediction (Peters et al., 2016, <doi:10.1111/rssb.12167>) to generalized linear and transformation models (Hothorn et al., 2018, <doi:10.1111/sjos.12291>). The methodology is described in Kook et al. (2023, <doi:10.1080/01621459.2024.2395588>).
Author: Lucas Kook [aut, cre] , Sorawit Saengkyongam [ctb], Anton Rask Lundborg [ctb], Torsten Hothorn [ctb], Jonas Peters [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>

Diff between tramicp versions 0.0-2 dated 2024-03-14 and 0.1-0 dated 2025-01-31

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New package stochvolTMB with initial version 0.3.0
Package: stochvolTMB
Title: Likelihood Estimation of Stochastic Volatility Models
Version: 0.3.0
Date: 2025-01-29
Description: Parameter estimation for stochastic volatility models using maximum likelihood. The latent log-volatility is integrated out of the likelihood using the Laplace approximation. The models are fitted via 'TMB' (Template Model Builder) (Kristensen, Nielsen, Berg, Skaug, and Bell (2016) <doi:10.18637/jss.v070.i05>).
License: GPL-3
Depends: R (>= 3.5.0)
Imports: TMB, ggplot2, sn, stats, data.table, MASS
LinkingTo: RcppEigen, TMB
Suggests: testthat (>= 2.1.0), shiny, knitr, rmarkdown, stochvol
URL: https://github.com/JensWahl/stochvolTMB
BugReports: https://github.com/JensWahl/stochvolTMB/issues
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-31 06:56:05 UTC; jens
Author: Jens Wahl [aut, cre]
Maintainer: Jens Wahl <jens.c.wahl@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-31 09:30:02 UTC

More information about stochvolTMB at CRAN
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Package riem updated to version 1.0.0 with previous version 0.3.2 dated 2024-07-26

Title: Accesses Weather Data from the Iowa Environment Mesonet
Description: Allows to get weather data from Automated Surface Observing System (ASOS) stations (airports) in the whole world thanks to the Iowa Environment Mesonet website.
Author: Maelle Salmon [aut, cre] , Brooke Anderson [rev] , CHAI Project [fnd] , rOpenSci [fnd] , Daryl Herzmann [ctb], Jonathan Elchison [aut]
Maintainer: Maelle Salmon <maelle.salmon@yahoo.se>

Diff between riem versions 0.3.2 dated 2024-07-26 and 1.0.0 dated 2025-01-31

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Package mvp updated to version 1.0-18 with previous version 1.0-14 dated 2023-03-19

Title: Fast Symbolic Multivariate Polynomials
Description: Fast manipulation of symbolic multivariate polynomials using the 'Map' class of the Standard Template Library. The package uses print and coercion methods from the 'mpoly' package but offers speed improvements. It is comparable in speed to the 'spray' package for sparse arrays, but retains the symbolic benefits of 'mpoly'. To cite the package in publications, use Hankin 2022 <doi:10.48550/ARXIV.2210.15991>. Uses 'disordR' discipline.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package geonapi updated to version 0.8 with previous version 0.7-2 dated 2024-03-21

Title: 'GeoNetwork' API R Interface
Description: Provides an R interface to the 'GeoNetwork' API (<https://geonetwork-opensource.org/#api>) allowing to upload and publish metadata in a 'GeoNetwork' web-application and expose it to OGC CSW.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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Package admiralvaccine updated to version 0.4.0 with previous version 0.3.0 dated 2024-08-29

Title: Vaccine Extension Package for ADaM in 'R' Asset Library
Description: Programming vaccine specific Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in 'R'. Flat model is followed as per Center for Biologics Evaluation and Research (CBER) guidelines for creating vaccine specific domains. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team (2021), <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>). The package is an extension package of the 'admiral' package.
Author: Sukalpo Saha [aut, cre], Arjun Rubalingam [aut], Ben Straub [aut], Vikram S [aut], Dhivya Kanagaraj [aut], Federico Baratin [aut], Yamini Purna Bollu [aut], Ilse Augustyns [aut], Kalyani Bodicherla [aut], Hilde Delanghe [aut], Lee Armishaw [aut], Nee [...truncated...]
Maintainer: Sukalpo Saha <sukalpo.saha@pfizer.com>

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Permanent link

Package ggstackplot updated to version 0.4.1 with previous version 0.4 dated 2025-01-14

Title: Create Overlapping Stacked Plots
Description: Easily create overlapping grammar of graphics plots for scientific data visualization. This style of plotting is particularly common in climatology and oceanography research communities.
Author: Sebastian Kopf [aut, cre, cph] , Tristan Caro [aut] , Jamie McFarlin [aut] , Jon Raberg [aut]
Maintainer: Sebastian Kopf <sebastian.kopf@colorado.edu>

Diff between ggstackplot versions 0.4 dated 2025-01-14 and 0.4.1 dated 2025-01-31

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Package BigDataPE (with last version 0.0.9) was removed from CRAN

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

2024-12-16 0.0.9

Permanent link
Package Copula.surv updated to version 1.8 with previous version 1.7 dated 2024-10-26

Title: Analysis of Bivariate Survival Data Based on Copulas
Description: Simulating bivariate survival data from copula models. Estimation of the association parameter in copula models. Two different ways to estimate the association parameter in copula models are implemented. A goodness-of-fit test for a given copula model is implemented. See Emura, Lin and Wang (2010) <doi:10.1016/j.csda.2010.03.013> for details.
Author: Takeshi Emura [aut, cre]
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

Diff between Copula.surv versions 1.7 dated 2024-10-26 and 1.8 dated 2025-01-31

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Package TailClassifier updated to version 0.1.2 with previous version 0.1.1 dated 2023-10-30

Title: Tail Classifier
Description: The function TailClassifier() suggests one of the following types of tail for your discrete data: 1) Power decaying tail; 2) Sub-exponential decaying tail; and 3) Near-exponential decaying tail. The function also provides an estimate of the parameter for the classified-distribution as a reference.
Author: Jialin Zhang [aut, cph, cre]
Maintainer: Jialin Zhang (JZ) <jzhang@math.msstate.edu>

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Package emmeans updated to version 1.10.7 with previous version 1.10.6 dated 2024-12-12

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell V. Lenth [aut, cre, cph], Balazs Banfai [ctb], Ben Bolker [ctb], Paul Buerkner [ctb], Iago Gine-Vazquez [ctb], Maxime Herve [ctb], Maarten Jung [ctb], Jonathon Love [ctb], Fernando Miguez [ctb], Julia Piaskowski [ctb], Hannes Riebl [ctb], Hen [...truncated...]
Maintainer: Russell V. Lenth <russell-lenth@uiowa.edu>

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More information about emmeans at CRAN
Permanent link

Thu, 30 Jan 2025

Package HiGarrote updated to version 1.0.2 with previous version 1.0.1 dated 2025-01-29

Title: Nonnegative Garrote Method Incorporating Hierarchical Relationships
Description: An implementation of the nonnegative garrote method that incorporates hierarchical relationships among variables. The core function, HiGarrote(), offers an automated approach for analyzing experiments while respecting hierarchical structures among effects. For methodological details, refer to Yu and Joseph (2024) <doi:10.48550/arXiv.2411.01383>. This work is supported by U.S. National Science Foundation grant DMS-2310637.
Author: Wei-Yang Yu [aut, cre], V. Roshan Joseph [aut]
Maintainer: Wei-Yang Yu <wyu322@gatech.edu>

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More information about HiGarrote at CRAN
Permanent link

Package bslib updated to version 0.9.0 with previous version 0.8.0 dated 2024-07-29

Title: Custom 'Bootstrap' 'Sass' Themes for 'shiny' and 'rmarkdown'
Description: Simplifies custom 'CSS' styling of both 'shiny' and 'rmarkdown' via 'Bootstrap' 'Sass'. Supports 'Bootstrap' 3, 4 and 5 as well as their various 'Bootswatch' themes. An interactive widget is also provided for previewing themes in real time.
Author: Carson Sievert [aut, cre] , Joe Cheng [aut], Garrick Aden-Buie [aut] , Posit Software, PBC [cph, fnd], Bootstrap contributors [ctb] , Twitter, Inc [cph] , Javi Aguilar [ctb, cph] , Thomas Park [ctb, cph] , PayPal [ctb, cph]
Maintainer: Carson Sievert <carson@posit.co>

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Package RFlocalfdr updated to version 0.9 with previous version 0.8.5 dated 2023-11-09

Title: Significance Level for Random Forest Impurity Importance Scores
Description: Sets a significance level for Random Forest MDI (Mean Decrease in Impurity, Gini or sum of squares) variable importance scores, using an empirical Bayes approach. See Dunne et al. (2022) <doi:10.1101/2022.04.06.487300>.
Author: Robert Dunne [aut, cre]
Maintainer: Robert Dunne <rob.dunne@csiro.au>

Diff between RFlocalfdr versions 0.8.5 dated 2023-11-09 and 0.9 dated 2025-01-30

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Package lavaangui updated to version 0.2.3 with previous version 0.2.1 dated 2024-12-05

Title: Graphical User Interface with Integrated 'Diagrammer' for 'Lavaan'
Description: Provides a graphical user interface with an integrated diagrammer for latent variables from the 'lavaan' package. It offers two core functions: first, lavaangui() launches a web application that allows users to specify models by drawing path diagrams, fitting them, assessing model fit, and more; second, plot_lavaan() creates interactive path diagrams from models specified in 'lavaan'. Karch (2024) <doi: 10.31234/osf.io/f4ary> contains a tutorial.
Author: Julian D. Karch [aut, cre, cph]
Maintainer: Julian D. Karch <j.d.karch@fsw.leidenuniv.nl>

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Package dplR updated to version 1.7.8 with previous version 1.7.7 dated 2024-06-01

Title: Dendrochronology Program Library in R
Description: Perform tree-ring analyses such as detrending, chronology building, and cross dating. Read and write standard file formats used in dendrochronology.
Author: Andy Bunn [aut, cph, cre, trl], Mikko Korpela [aut, cph, trl], Franco Biondi [aut, cph], Filipe Campelo [aut, cph], Stefan Klesse [aut, cph], Pierre Merian [aut, cph], Fares Qeadan [aut, cph], Christian Zang [aut, cph], Allan Buras [ctb], Alice Cecil [...truncated...]
Maintainer: Andy Bunn <bunna@wwu.edu>

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Package brulee updated to version 0.4.0 with previous version 0.3.0 dated 2024-02-14

Title: High-Level Modeling Functions with 'torch'
Description: Provides high-level modeling functions to define and train models using the 'torch' R package. Models include linear, logistic, and multinomial regression as well as multilayer perceptrons.
Author: Max Kuhn [aut, cre] , Daniel Falbel [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

Diff between brulee versions 0.3.0 dated 2024-02-14 and 0.4.0 dated 2025-01-30

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Package torch updated to version 0.14.0 with previous version 0.13.0 dated 2024-05-21

Title: Tensors and Neural Networks with 'GPU' Acceleration
Description: Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <doi:10.48550/arXiv.1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
Author: Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], Hamada S. Badr [ctb], Sebastian Fischer [ctb], Maximilian Pichler [ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

Diff between torch versions 0.13.0 dated 2024-05-21 and 0.14.0 dated 2025-01-30

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Package chattr updated to version 0.2.1 with previous version 0.2.0 dated 2024-07-29

Title: Interact with Large Language Models in 'RStudio'
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'.
Author: Edgar Ruiz [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Edgar Ruiz <edgar@posit.co>

Diff between chattr versions 0.2.0 dated 2024-07-29 and 0.2.1 dated 2025-01-30

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New package jobqueue with initial version 1.0.1
Package: jobqueue
Title: Run Interruptible Code Asynchronously
Version: 1.0.1
Date: 2025-01-28
Description: Takes an R expression and returns a Job object with a $stop() method which can be called to terminate the background job. Also provides timeouts and other mechanisms for automatically terminating a background job. The result of the expression is available synchronously via $result or asynchronously with callbacks or through the 'promises' package framework.
URL: https://cmmr.github.io/jobqueue/, https://github.com/cmmr/jobqueue
BugReports: https://github.com/cmmr/jobqueue/issues
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 4.2.0)
Imports: cli, later, magrittr, parallelly, promises, ps, R6, rlang, semaphore, utils
Suggests: glue, knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-01-29 21:36:05 UTC; Daniel
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-30 19:20:02 UTC

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New package hrf with initial version 0.1.3
Package: hrf
Title: Hemodynamic Response Function
Version: 0.1.3
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>
Description: Computes the hemodynamic response function (HRF) for task functional magnetic resonance imaging (fMRI) data. Also includes functions for constructing a design matrix from task fMRI event timings, and for comparing multiple design matrices in a general linear model (GLM). A wrapper function is provided for GLM analysis of CIFTI-format data. Lastly, there are supporting functions which provide visual summaries of the HRFs and design matrices.
License: GPL-3
URL: https://github.com/mandymejia/hrf
BugReports: https://github.com/mandymejia/hrf/issues
Depends: R (>= 3.6.0)
Imports: car, ciftiTools (>= 0.15.0), fMRItools, Matrix, matrixStats, stats
Suggests: covr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), tidyr, spelling
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-01-29 20:47:30 UTC; ddpham
Author: Amanda Mejia [aut, cre], Damon Pham [ctb] , David Bolin [ctb], Yu Yue [ctb], Daniel Spencer [aut] , Sarah Ryan [ctb]
Repository: CRAN
Date/Publication: 2025-01-30 19:10:02 UTC

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New package shrinkGPR with initial version 1.0.0
Package: shrinkGPR
Title: Scalable Gaussian Process Regression with Hierarchical Shrinkage Priors
Version: 1.0.0
Maintainer: Peter Knaus <peter.knaus@wu.ac.at>
Description: Efficient variational inference methods for fully Bayesian Gaussian Process Regression (GPR) models with hierarchical shrinkage priors, including the triple gamma prior for effective variable selection and covariance shrinkage in high-dimensional settings. The package leverages normalizing flows to approximate complex posterior distributions. For details on implementation, see Knaus (2025) <doi:10.48550/arXiv.2501.13173>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: gsl, progress, rlang, utils, methods, torch
Suggests: testthat (>= 3.0.0)
SystemRequirements: torch backend, for installation guide see https://cran.r-project.org/web/packages/torch/vignettes/installation.html
NeedsCompilation: no
Packaged: 2025-01-29 16:42:54 UTC; Peter
Author: Peter Knaus [aut, cre]
Repository: CRAN
Date/Publication: 2025-01-30 19:00:02 UTC

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New package massProps with initial version 0.2.0
Package: massProps
Title: Calculate Mass Properties and Uncertainties of Tree Structures
Version: 0.2.0
Description: Recursively calculates mass properties (mass, center of mass, moments and products of inertia, and optionally, their uncertainties) for arbitrary decomposition trees. R. L. Zimmerman, J. H. Nakai. (2005) <https://www.sawe.org/product/paper-3360/>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rollupTree (>= 0.1.0)
Depends: R (>= 3.5)
LazyData: true
Suggests: igraph, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://jsjuni.github.io/massProps/, https://github.com/jsjuni/massProps
BugReports: https://github.com/jsjuni/massProps/issues
NeedsCompilation: no
Packaged: 2025-01-29 18:42:33 UTC; sjenkins
Author: James Steven Jenkins [aut, cre, cph]
Maintainer: James Steven Jenkins <sjenkins@studioj.us>
Repository: CRAN
Date/Publication: 2025-01-30 19:00:05 UTC

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New package javateak with initial version 1.0
Package: javateak
Title: Javanese Teak Above Ground Biomass Estimation
Description: Simplifies the process of estimating above ground biomass components for teak trees using a few basic inputs, based on the equations taken from the journal "Allometric equations for estimating above ground biomass and leaf area of planted teak (Tectona grandis) forests under agroforestry management in East Java, Indonesia" (Purwanto & Shiba, 2006) <doi:10.60409/forestresearch.76.0_1>. This function is most reliable when applied to trees from the same region where the equations were developed, specifically East Java, Indonesia. This function help to estimate the stem diameter at the lowest major living branch (DB) using the stem diameter at breast height with R^2 = 0.969. Estimate the branch dry weight (WB) using the stem diameter at breast height and tree height (R^2 = 0.979). Estimate the stem weight (WS) using the stem diameter at breast height and tree height (R^2 = 0.997. Also estimate the leaf dry weight (WL) using the stem diameter at the lowest major living branch (R^2 [...truncated...]
Version: 1.0
Date: 2025-01-19
Maintainer: Yudistira Adyatama <yudistiraadyatama@gmail.com>
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-01-25 14:55:38 UTC; hp
Author: Yudistira Adyatama [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-01-30 18:20:01 UTC

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New package ggfootball with initial version 0.1.0
Package: ggfootball
Title: Plotting Expected Goals (xG) Stats with Understat Data
Version: 0.1.0
Description: Scrapes shots data from 'Understat' <https://understat.com/> and visualizes it using interactive plots: - A detailed shot map displaying the location, type, and xG value of shots taken by both teams. - An xG timeline chart showing the cumulative xG for each team over time, annotated with the details of scored goals.
License: GPL (>= 3)
Encoding: UTF-8
Imports: base64enc, dplyr (>= 1.0.0), gdtools, gfonts, ggiraph, ggplot2, ggsoccer, glue, highcharter, utils, rvest, stringi, stringr, qdapRegex, jsonlite, readr, tibble
URL: http://aymennasri.me/ggfootball/
BugReports: https://github.com/aymennasri/ggfootball/issues
NeedsCompilation: no
Packaged: 2025-01-29 09:12:16 UTC; aymen
Author: Aymen Nasri [aut, cre, cph]
Maintainer: Aymen Nasri <aymennasrii@proton.me>
Repository: CRAN
Date/Publication: 2025-01-30 18:40:02 UTC

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New package distanceHD with initial version 1.0
Package: distanceHD
Title: Distance Metrics for High-Dimensional Clustering
Version: 1.0
Date: 2025-01-25
Maintainer: Jung Ae Lee <jungaeleeb@gmail.com>
Description: We provide three distance metrics for measuring the separation between two clusters in high-dimensional spaces. The first metric is the centroid distance, which calculates the Euclidean distance between the centers of the two groups. The second is a ridge Mahalanobis distance, which incorporates a ridge correction constant, alpha, to ensure that the covariance matrix is invertible. The third metric is the maximal data piling distance, which computes the orthogonal distance between the affine spaces spanned by each class. These three distances are asymptotically interconnected and are applicable in tasks such as discrimination, clustering, and outlier detection in high-dimensional settings.
License: GPL (>= 2)
Depends: R (>= 3.5.0), MASS
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-29 15:40:10 UTC; jungae
Author: Jung Ae Lee [aut, cre], Jeonyoun Ahn [aut]
Repository: CRAN
Date/Publication: 2025-01-30 18:50:02 UTC

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Package tsibble updated to version 1.1.6 with previous version 1.1.5 dated 2024-06-27

Title: Tidy Temporal Data Frames and Tools
Description: Provides a 'tbl_ts' class (the 'tsibble') for temporal data in an data- and model-oriented format. The 'tsibble' provides tools to easily manipulate and analyse temporal data, such as filling in time gaps and aggregating over calendar periods.
Author: Earo Wang [aut, cre] , Di Cook [aut, ths] , Rob Hyndman [aut, ths] , Mitchell O'Hara-Wild [aut] , Tyler Smith [ctb], Wil Davis [ctb]
Maintainer: Earo Wang <earo.wang@gmail.com>

Diff between tsibble versions 1.1.5 dated 2024-06-27 and 1.1.6 dated 2025-01-30

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Package SIAtools updated to version 0.1.2 with previous version 0.1.1 dated 2024-06-20

Title: 'ShinyItemAnalysis' Modules Development Toolkit
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.
Author: Jan Netik [cre, aut] , Patricia Martinkova [aut]
Maintainer: Jan Netik <netik@cs.cas.cz>

Diff between SIAtools versions 0.1.1 dated 2024-06-20 and 0.1.2 dated 2025-01-30

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Package BSTZINB updated to version 2.0.0 with previous version 1.0.0 dated 2024-10-31

Title: Association Among Disease Counts and Socio-Environmental Factors
Description: Estimation of association between disease or death counts (e.g. COVID-19) and socio-environmental risk factors using a zero-inflated Bayesian spatiotemporal model. Non-spatiotemporal models and/or models without zero-inflation are also included for comparison. Functions to produce corresponding maps are also included. See Chakraborty et al. (2022) <doi:10.1007/s13253-022-00487-1> for more details on the method.
Author: Suman Majumder [cre, aut, cph], Yoon-Bae Jun [aut, cph], Sounak Chakraborty [ctb], Chae-Young Lim [ctb], Tanujit Dey [ctb]
Maintainer: Suman Majumder <smajumd2@gmail.com>

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New package adplots with initial version 0.1.0
Package: adplots
Title: Ad-Plot and Ud-Plot for Visualizing Distributional Properties and Normality
Version: 0.1.0
Maintainer: Uditha Amarananda Wijesuriya <u.wijesuriya@usi.edu>
Description: The empirical cumulative average deviation function introduced by the author is utilized to develop both Ad- and Ud-plots. The Ad-plot can identify symmetry, skewness, and outliers of the data distribution, including anomalies. The Ud-plot created by slightly modifying Ad-plot is exceptional in assessing normality, outperforming normal QQ-plot, normal PP-plot, and their derivations. The d-value that quantifies the degree of proximity between the Ud-plot and the graph of the estimated normal density function helps guide to make decisions on confirmation of normality. Full description of this methodology can be found in the article by Wijesuriya (2025) <doi:10.1080/03610926.2024.2440583>.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-28 19:09:26 UTC; uwijesuriy
Author: Uditha Amarananda Wijesuriya [aut, cre]
Repository: CRAN
Date/Publication: 2025-01-30 17:10:02 UTC

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Package parallelly updated to version 1.42.0 with previous version 1.41.0 dated 2024-12-18

Title: Enhancing the 'parallel' Package
Description: Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
Author: Henrik Bengtsson [aut, cre, cph] , Mike Cheng [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between parallelly versions 1.41.0 dated 2024-12-18 and 1.42.0 dated 2025-01-30

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New package BKT with initial version 0.0.1
Package: BKT
Title: Bayesian Knowledge Tracing Model
Version: 0.0.1
Description: Fitting, cross-validating, and predicting with Bayesian Knowledge Tracing (BKT) models. It is designed for analyzing educational datasets to trace student knowledge over time. The package includes functions for fitting BKT models, evaluating their performance using various metrics, and making predictions on new data. It provides the same functionality as the Python package pyBKT authored by Bulut et al. (2023, <doi:10.3390/psych5030050>) and pyBKT can be accessed via the site at <https://github.com/CAHLR/pyBKT>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: RCurl, parallel, methods, stats, utils,
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-01-28 16:08:30 UTC; zby15
Author: Yuhao Yuan [aut, cre], Biying Zhou [aut], Feng Ji [aut]
Maintainer: Yuhao Yuan <yuanyuhaoapply@163.com>
Repository: CRAN
Date/Publication: 2025-01-30 16:50:06 UTC

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Package BCDAG updated to version 1.1.2 with previous version 1.1.1 dated 2024-06-14

Title: Bayesian Structure and Causal Learning of Gaussian Directed Graphs
Description: A collection of functions for structure learning of causal networks and estimation of joint causal effects from observational Gaussian data. Main algorithm consists of a Markov chain Monte Carlo scheme for posterior inference of causal structures, parameters and causal effects between variables. References: F. Castelletti and A. Mascaro (2021) <doi:10.1007/s10260-021-00579-1>, F. Castelletti and A. Mascaro (2022) <doi:10.48550/arXiv.2201.12003>.
Author: Federico Castelletti [aut], Alessandro Mascaro [aut, cre, cph]
Maintainer: Alessandro Mascaro <alessandro.mascaro@upf.edu>

Diff between BCDAG versions 1.1.1 dated 2024-06-14 and 1.1.2 dated 2025-01-30

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Package agricolaeplotr updated to version 0.6.1 with previous version 0.6.0 dated 2025-01-22

Title: Visualization of Design of Experiments from the 'agricolae' Package
Description: Visualization of Design of Experiments from the 'agricolae' package with 'ggplot2' framework The user provides an experiment design from the 'agricolae' package, calls the corresponding function and will receive a visualization with 'ggplot2' based functions that are specific for each design. As there are many different designs, each design is tested on its type. The output can be modified with standard 'ggplot2' commands or with other packages with 'ggplot2' function extensions.
Author: Jens Harbers [aut, cre]
Maintainer: Jens Harbers <jensharbers@gmail.com>

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Package freegroup updated to version 1.1-9 with previous version 1.1-8 dated 2024-01-13

Title: The Free Group
Description: The free group in R; juxtaposition is represented by a plus. Includes inversion, multiplication by a scalar, group-theoretic power operation, and Tietze forms. To cite the package in publications please use Hankin (2022) <doi:10.48550/ARXIV.2212.05883>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package datasetjson updated to version 0.3.0 with previous version 0.2.0 dated 2024-01-09

Title: Read and Write CDISC Dataset JSON Files
Description: Read, construct and write CDISC (Clinical Data Interchange Standards Consortium) Dataset JSON (JavaScript Object Notation) files, while validating per the Dataset JSON schema file, as described in CDISC (2023) <https://www.cdisc.org/standards/data-exchange/dataset-json>.
Author: Mike Stackhouse [aut, cre] , Nicholas Masel [aut]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>

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Package cgmanalysis updated to version 3.0 with previous version 2.7.7 dated 2023-10-20

Title: Clean and Analyze Continuous Glucose Monitor Data
Description: This code provides several different functions for cleaning and analyzing continuous glucose monitor data. Currently it works with 'Dexcom', 'iPro 2', 'Diasend', 'Libre', or 'Carelink' data. The cleandata() function takes a directory of CGM data files and prepares them for analysis. cgmvariables() iterates through a directory of cleaned CGM data files and produces a single spreadsheet with data for each file in either rows or columns. The column format of this spreadsheet is compatible with REDCap data upload. cgmreport() also iterates through a directory of cleaned data, and produces PDFs of individual and aggregate AGP plots. Please visit <https://github.com/childhealthbiostatscore/R-Packages/> to download the new-user guide.
Author: Tim Vigers [aut, cre]
Maintainer: Tim Vigers <timothy.vigers@cuanschutz.edu>

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Package gammi updated to version 0.2 with previous version 0.1 dated 2024-09-15

Title: Generalized Additive Mixed Model Interface
Description: An interface for fitting generalized additive models (GAMs) and generalized additive mixed models (GAMMs) using the 'lme4' package as the computational engine, as described in Helwig (2024) <doi:10.3390/stats7010003>. Supports default and formula methods for model specification, additive and tensor product splines for capturing nonlinear effects, and automatic determination of spline type based on the class of each predictor. Includes an S3 plot method for visualizing the (nonlinear) model terms, an S3 predict method for forming predictions from a fit model, and an S3 summary method for conducting significance testing using the Bayesian interpretation of a smoothing spline.
Author: Nathaniel E. Helwig [aut, cre]
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

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Package epiR updated to version 2.0.80 with previous version 2.0.78 dated 2024-12-09

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>

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Package doBy updated to version 4.6.25 with previous version 4.6.24 dated 2024-10-07

Title: Groupwise Statistics, LSmeans, Linear Estimates, Utilities
Description: Utility package containing: 1) Facilities for working with grouped data: 'do' something to data stratified 'by' some variables. 2) LSmeans (least-squares means), general linear estimates. 3) Restrict functions to a smaller domain. 4) Miscellaneous other utilities.
Author: Ulrich Halekoh [aut, cph], Soeren Hoejsgaard [aut, cre, cph]
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

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Package DatabaseConnector updated to version 6.4.0 with previous version 6.3.3 dated 2025-01-15

Title: Connecting to Various Database Platforms
Description: An R 'DataBase Interface' ('DBI') compatible interface to various database platforms ('PostgreSQL', 'Oracle', 'Microsoft SQL Server', 'Amazon Redshift', 'Microsoft Parallel Database Warehouse', 'IBM Netezza', 'Apache Impala', 'Google BigQuery', 'Snowflake', 'Spark', 'SQLite', and 'InterSystems IRIS'). Also includes support for fetching data as 'Andromeda' objects. Uses either 'Java Database Connectivity' ('JDBC') or other 'DBI' drivers to connect to databases.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut], Observational Health Data Science and Informatics [cph], Microsoft Inc. [cph] , PostgreSQL Global Development Group [cph] , Oracle Inc. [cph] , Amazon Inc. [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package weyl updated to version 0.0-6 with previous version 0.0-5 dated 2024-07-03

Title: The Weyl Algebra
Description: A suite of routines for Weyl algebras. Notation follows Coutinho (1995, ISBN 0-521-55119-6, "A Primer of Algebraic D-Modules"). Uses 'disordR' discipline (Hankin 2022 <doi:10.48550/arXiv.2210.03856>). To cite the package in publications, use Hankin 2022 <doi:10.48550/arXiv.2212.09230>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package sstvars updated to version 1.1.3 with previous version 1.1.2 dated 2025-01-07

Title: Toolkit for Reduced Form and Structural Smooth Transition Vector Autoregressive Models
Description: Maximum likelihood estimation of smooth transition vector autoregressive models with various types of transition weight functions, conditional distributions, and identification methods. Constrained estimation with various types of constraints is available. Residual based model diagnostics, forecasting, simulations, and calculation of impulse response functions, generalized impulse response functions, and generalized forecast error variance decompositions. See Heather Anderson, Farshid Vahid (1998) <doi:10.1016/S0304-4076(97)00076-6>, Helmut Lütkepohl, Aleksei Netšunajev (2017) <doi:10.1016/j.jedc.2017.09.001>, Markku Lanne, Savi Virolainen (2024) <doi:10.48550/arXiv.2403.14216>, Savi Virolainen (2024) <doi:10.48550/arXiv.2404.19707>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

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Package simer updated to version 0.9.0.6 with previous version 0.9.0.5 dated 2024-09-17

Title: Data Simulation for Life Science and Breeding
Description: Data simulator including genotype, phenotype, pedigree, selection and reproduction in R. It simulates most of reproduction process of animals or plants and provides data for GS (Genomic Selection), GWAS (Genome-Wide Association Study), and Breeding. For ADI model, please see Kao C and Zeng Z (2002) <doi:10.1093/genetics/160.3.1243>. For build.cov, please see B. D. Ripley (1987) <ISBN:9780470009604>.
Author: Dong Yin [aut], Xuanning Zhang [aut], Lilin Yin [aut], Haohao Zhang [aut], Zhenshuang Tang [aut], Jingya Xu [aut], Xiaohui Yuan [aut], Xiang Zhou [aut], Xinyun Li [aut], Shuhong Zhao [aut], Xiaolei Liu [cre, aut, cph]
Maintainer: Xiaolei Liu <xll198708@gmail.com>

Diff between simer versions 0.9.0.5 dated 2024-09-17 and 0.9.0.6 dated 2025-01-30

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Package SMNlmec updated to version 1.0.0 with previous version 0.1.0 dated 2024-11-26

Title: Scale Mixture of Normal Distribution in Linear Mixed-Effects Model
Description: Bayesian analysis of censored linear mixed-effects models that replace Gaussian assumptions with a flexible class of distributions, such as the scale mixture of normal family distributions, considering a damped exponential correlation structure which was employed to account for within-subject autocorrelation among irregularly observed measures. For more details, see Kelin Zhong, Fernanda L. Schumacher, Luis M. Castro, Victor H. Lachos (2025) <doi:10.1002/sim.10295>.
Author: Kelin Zhong [aut, cre], Fernanda L. Schumacher [aut], Luis M. Castro [aut], Victor H. Lachos [aut], Jalmar M.F. Carrasco [aut]
Maintainer: Kelin Zhong <kelin.zhong@uconn.edu>

Diff between SMNlmec versions 0.1.0 dated 2024-11-26 and 1.0.0 dated 2025-01-30

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Package LMPdata updated to version 0.2.0 with previous version 0.1.0 dated 2024-07-18

Title: Easy Import of the EU Labour Market Policy Data
Description: European Commission's Labour Market Policy (LMP) database (<https://webgate.ec.europa.eu/empl/redisstat/databrowser/explore/all/lmp?lang=en&display=card&sort=category>) provides information on labour market interventions, which are government actions to help and support the unemployed and other disadvantaged groups in the transition from unemployment or inactivity to work. It covers the EU countries and Norway. This package provides functions for downloading and importing the LMP data and metadata (codelists).
Author: Aleksander Rutkowski [aut, cre]
Maintainer: Aleksander Rutkowski <alek.rutkowski@gmail.com>

Diff between LMPdata versions 0.1.0 dated 2024-07-18 and 0.2.0 dated 2025-01-30

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Package LearnNonparam updated to version 1.2.7 with previous version 1.2.6 dated 2024-12-17

Title: 'R6'-Based Flexible Framework for Permutation Tests
Description: Implements non-parametric tests from Higgins (2004, ISBN:0534387756), including tests for one sample, two samples, k samples, paired comparisons, blocked designs, trends and association. Built with 'Rcpp' for efficiency and 'R6' for flexible, object-oriented design, the package provides a unified framework for performing or creating custom permutation tests.
Author: Yan Du [aut, cre]
Maintainer: Yan Du <isduyan@outlook.com>

Diff between LearnNonparam versions 1.2.6 dated 2024-12-17 and 1.2.7 dated 2025-01-30

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Package PPtreeregViz (with last version 2.0.5) was removed from CRAN

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

2022-12-23 2.0.5

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Package shapr (with last version 1.0.1) was removed from CRAN

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

2025-01-16 1.0.1
2023-05-04 0.2.2
2023-02-27 0.2.1
2021-01-28 0.2.0
2021-01-21 0.1.4

Permanent link

Wed, 29 Jan 2025

Package bsvarSIGNs updated to version 2.0 with previous version 1.0.1 dated 2024-08-17

Title: Bayesian SVARs with Sign, Zero, and Narrative Restrictions
Description: Implements state-of-the-art algorithms for the Bayesian analysis of Structural Vector Autoregressions (SVARs) identified by sign, zero, and narrative restrictions. The core model is based on a flexible Vector Autoregression with estimated hyper-parameters of the Minnesota prior and the dummy observation priors as in Giannone, Lenza, Primiceri (2015) <doi:10.1162/REST_a_00483>. The sign restrictions are implemented employing the methods proposed by Rubio-Ramírez, Waggoner & Zha (2010) <doi:10.1111/j.1467-937X.2009.00578.x>, while identification through sign and zero restrictions follows the approach developed by Arias, Rubio-Ramírez, & Waggoner (2018) <doi:10.3982/ECTA14468>. Furthermore, our tool provides algorithms for identification via sign and narrative restrictions, in line with the methods introduced by Antolín-Díaz and Rubio-Ramírez (2018) <doi:10.1257/aer.20161852>. Users can also estimate a model with sign, zero, and narrative restrictions impos [...truncated...]
Author: Xiaolei Wang [aut, cre] , Tomasz Wozniak [aut]
Maintainer: Xiaolei Wang <adamwang15@gmail.com>

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Package av updated to version 0.9.4 with previous version 0.9.3 dated 2024-11-09

Title: Working with Audio and Video in R
Description: Bindings to 'FFmpeg' <http://www.ffmpeg.org/> AV library for working with audio and video in R. Generates high quality video from images or R graphics with custom audio. Also offers high performance tools for reading raw audio, creating 'spectrograms', and converting between countless audio / video formats. This package interfaces directly to the C API and does not require any command line utilities.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package greenfeedr updated to version 1.1.0 with previous version 1.0.1 dated 2024-10-31

Title: Process and Report 'GreenFeed' Data
Description: Provides tools for downloading, processing, and reporting daily and finalized 'GreenFeed' data.
Author: Guillermo Martinez-Boggio [cre, aut, cph] , Meredith Harrison [ctb], Patrick Lutz [ctb]
Maintainer: Guillermo Martinez-Boggio <guillermo.martinezboggio@wisc.edu>

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Package Blend updated to version 0.1.1.1 with previous version 0.1.1 dated 2025-01-20

Title: Robust Bayesian Longitudinal Regularized Semiparametric Mixed Models
Description: Our recently developed fully robust Bayesian semiparametric mixed-effect model for high-dimensional longitudinal studies with heterogeneous observations can be implemented through this package. This model can distinguish between time-varying interactions and constant-effect-only cases to avoid model misspecifications. Facilitated by spike-and-slab priors, this model leads to superior performance in estimation, identification and statistical inference. In particular, robust Bayesian inferences in terms of valid Bayesian credible intervals on both parametric and nonparametric effects can be validated on finite samples. The Markov chain Monte Carlo algorithms of the proposed and alternative models are efficiently implemented in 'C++'.
Author: Kun Fan [aut, cre], Cen Wu [aut]
Maintainer: Kun Fan <kfan@ksu.edu>

Diff between Blend versions 0.1.1 dated 2025-01-20 and 0.1.1.1 dated 2025-01-29

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Package REDCapCAST updated to version 25.1.1 with previous version 24.12.1 dated 2024-12-02

Title: REDCap Metadata Casting and Castellated Data Handling
Description: Casting metadata for REDCap database creation and handling of castellated data using repeated instruments and longitudinal projects in 'REDCap'. Keeps a focused data export approach, by allowing to only export required data from the database. Also for casting new REDCap databases based on datasets from other sources. Originally forked from the R part of 'REDCapRITS' by Paul Egeler. See <https://github.com/pegeler/REDCapRITS>. 'REDCap' (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for data integration and interoperability with external sources (Harris et al (2009) <doi:10.1016/j.jbi.2008.08.010>; Harris et al (2019) <doi:10.1016/j.jbi.2019.103208> [...truncated...]
Author: Andreas Gammelgaard Damsbo [aut, cre] , Paul Egeler [aut]
Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@clin.au.dk>

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 REDCapCAST-25.1.1/REDCapCAST/NAMESPACE                                                                  |    8 
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 REDCapCAST-25.1.1/REDCapCAST/R/fct_drop.R                                                               |   24 
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 REDCapCAST-25.1.1/REDCapCAST/inst/WORDLIST                                                              |    1 
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More information about REDCapCAST at CRAN
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Package multpois updated to version 0.3.2 with previous version 0.2.0 dated 2024-10-22

Title: Analyze Nominal Response Data with the Multinomial-Poisson Trick
Description: Dichotomous responses having two categories can be analyzed with stats::glm() or lme4::glmer() using the family=binomial option. Unfortunately, polytomous responses with three or more unordered categories cannot be analyzed similarly because there is no analogous family=multinomial option. For between-subjects data, nnet::multinom() can address this need, but it cannot handle random factors and therefore cannot handle repeated measures. To address this gap, we transform nominal response data into counts for each categorical alternative. These counts are then analyzed using (mixed) Poisson regression as per Baker (1994) <doi:10.2307/2348134>. Omnibus analyses of variance can be run along with post hoc pairwise comparisons. For users wishing to analyze nominal responses from surveys or experiments, the functions in this package essentially act as though stats::glm() or lme4::glmer() had a family=multinomial option.
Author: Jacob O. Wobbrock [aut, cre, cph]
Maintainer: Jacob O. Wobbrock <wobbrock@uw.edu>

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Package cocoon updated to version 0.2.0 with previous version 0.1.0 dated 2024-11-05

Title: Extract, Format, and Print Statistical Output
Description: Provides functions that format statistical output in a way that can be inserted into R Markdown documents. This is analogous to the apa_print() functions in the 'papaja' package but prints Markdown or LaTeX syntax.
Author: Jeffrey R. Stevens [aut, cre, cph]
Maintainer: Jeffrey R. Stevens <jeffrey.r.stevens@protonmail.com>

Diff between cocoon versions 0.1.0 dated 2024-11-05 and 0.2.0 dated 2025-01-29

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New package SparseICA with initial version 0.1.4
Package: SparseICA
Title: Sparse Independent Component Analysis
Version: 0.1.4
Date: 2025-01-15
Author: Zihang Wang [aut, cre] , Irina Gaynanova [aut] , Aleksandr Aravkin [aut] , Benjamin Risk [aut]
Maintainer: Zihang Wang <zhwang0378@gmail.com>
BugReports: https://github.com/thebrisklab/SparseICA/issues
URL: https://github.com/thebrisklab/SparseICA
Description: Provides an implementation of the Sparse ICA method in Wang et al. (2024) <doi:10.1080/01621459.2024.2370593> for estimating sparse independent source components of cortical surface functional MRI data, by addressing a non-smooth, non-convex optimization problem through the relax-and-split framework. This method effectively balances statistical independence and sparsity while maintaining computational efficiency.
License: GPL-3
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
Imports: Rcpp (>= 1.0.13), MASS (>= 7.3-58), irlba (>= 2.3.5), clue (>= 0.3), ciftiTools (>= 0.16), parallel (>= 4.1)
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: yes
Packaged: 2025-01-26 19:35:28 UTC; zihang
Repository: CRAN
Date/Publication: 2025-01-29 18:50:02 UTC

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Package SEMgraph updated to version 1.2.3 with previous version 1.2.2 dated 2024-07-22

Title: Network Analysis and Causal Inference Through Structural Equation Modeling
Description: Estimate networks and causal relationships in complex systems through Structural Equation Modeling. This package also includes functions for importing, weight, manipulate, and fit biological network models within the Structural Equation Modeling framework as outlined in the Supplementary Material of Grassi M, Palluzzi F, Tarantino B (2022) <doi:10.1093/bioinformatics/btac567>.
Author: Mario Grassi [aut], Fernando Palluzzi [aut], Barbara Tarantino [cre]
Maintainer: Barbara Tarantino <barbara.tarantino01@universitadipavia.it>

Diff between SEMgraph versions 1.2.2 dated 2024-07-22 and 1.2.3 dated 2025-01-29

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New package rdlearn with initial version 0.1.1
Package: rdlearn
Title: Safe Policy Learning under Regression Discontinuity Design with Multiple Cutoffs
Version: 0.1.1
Description: Implements safe policy learning under regression discontinuity designs with multiple cutoffs, based on Zhang et al. (2022) <doi:10.48550/arXiv.2208.13323>. The learned cutoffs are guaranteed to perform no worse than the existing cutoffs in terms of overall outcomes. The 'rdlearn' package also includes features for visualizing the learned cutoffs relative to the baseline and conducting sensitivity analyses.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/kkawato/rdlearn
BugReports: https://github.com/kkawato/rdlearn/issues
Imports: nprobust, nnet, rdrobust, ggplot2, dplyr, glue, cli
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-26 04:18:09 UTC; kawatokentaryuu
Author: Kentaro Kawato [cre, cph], Yi Zhang [aut], Soichiro Yamauchi [aut], Eli Ben-Michael [aut], Kosuke Imai [aut]
Maintainer: Kentaro Kawato <kentaro1358nohe@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-29 18:30:02 UTC

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New package PopulateR with initial version 1.13
Package: PopulateR
Title: Create Data Frames for the Micro-Simulation of Human Populations
Version: 1.13
Maintainer: Michelle Gosse <michelle.a.gosse@gmail.com>
Description: Tools for constructing detailed synthetic human populations from frequency tables. Add ages based on age groups and sex, create households, add students to education facilities, create employers, add employers to employees, and create interpersonal networks.
Depends: R (>= 4.0)
Imports: brainGraph (>= 3.1.0), data.table (>= 1.16.2), dplyr (>= 1.1.4), igraph (>= 2.1.1), magrittr (>= 2.0.3), PearsonDS (>= 1.3.1), plyr (>= 1.8.9), rlang (>= 1.1.4), sn (>= 2.1.1), tidyr (>= 1.3.1), tidyselect (>= 1.2.1), withr (>= 3.0.2)
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/programgirl/PopulateR
BugReports: https://github.com/programgirl/PopulateR/issues
NeedsCompilation: no
Packaged: 2025-01-26 08:07:08 UTC; michelle
Author: Michelle Gosse [aut, cre, cph], Jonathan Marshall [aut], Mark Bebbington [ctb]
Repository: CRAN
Date/Publication: 2025-01-29 18:30:05 UTC

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New package ordinalsimr with initial version 0.1.3
Package: ordinalsimr
Title: Compare Ordinal Endpoints Using Simulations
Version: 0.1.3
Description: Simultaneously evaluate multiple ordinal outcome measures. Applied data analysts in particular are faced with uncertainty in choosing appropriate statistical tests for ordinal data. The included 'shiny' application allows users to simulate outcomes given different ordinal data distributions.
License: MIT + file LICENSE
Imports: assertthat, bslib, coin, config (>= 0.3.1), dplyr, DT, ggplot2, golem (>= 0.4.0), magrittr, rhandsontable, rlang, rms, shiny (>= 1.7.4), shinycssloaders, shinydashboard, shinyWidgets, stats, tidyr, utils, withr
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
URL: https://github.com/NeuroShepherd/ordinalsimr, https://neuroshepherd.github.io/ordinalsimr/
BugReports: https://github.com/NeuroShepherd/ordinalsimr/issues
Suggests: callr, knitr, pkgload, purrr, rmarkdown, testthat (>= 3.0.0), writexl
Depends: R (>= 4.4.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-26 11:46:36 UTC; patcallahan
Author: Pat Callahan [aut, cre, cph]
Maintainer: Pat Callahan <patricktcallahan18@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-29 18:40:02 UTC

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New package lifepack with initial version 0.0.8
Package: lifepack
Title: Insurance Reserve Calculations
Version: 0.0.8
Description: Calculates insurance reserves and equivalence premiums using advanced numerical methods, including the Runge-Kutta algorithm and product integrals for transition probabilities. This package is useful for actuarial analyses and life insurance modeling, facilitating accurate financial projections.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-26 18:00:17 UTC; oskar
Author: Oskar Allerslev [aut, cre]
Maintainer: Oskar Allerslev <Oskar.m1660@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-29 18:40:06 UTC

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Package HiGarrote updated to version 1.0.1 with previous version 1.0 dated 2024-11-14

Title: Nonnegative Garrote Method Incorporating Hierarchical Relationships
Description: An implementation of the nonnegative garrote method that incorporates hierarchical relationships among variables. The core function, HiGarrote(), offers an automated approach for analyzing experiments while respecting hierarchical structures among effects. For methodological details, refer to Yu and Joseph (2024) <doi:10.48550/arXiv.2411.01383>. This work is supported by U.S. National Science Foundation grant DMS-2310637.
Author: Wei-Yang Yu [aut, cre], V. Roshan Joseph [aut]
Maintainer: Wei-Yang Yu <wyu322@gatech.edu>

Diff between HiGarrote versions 1.0 dated 2024-11-14 and 1.0.1 dated 2025-01-29

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 7 files changed, 120 insertions(+), 47 deletions(-)

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New package bosfr with initial version 0.1.0
Package: bosfr
Title: Computes Exact Bounds of Spearman's Footrule with Missing Data
Version: 0.1.0
Author: Yijin Zeng [aut, cre, cph]
Maintainer: Yijin Zeng <yijinzeng98@gmail.com>
Description: Computes exact bounds of Spearman's footrule in the presence of missing data, and performs independence test based on the bounds with controlled Type I error regardless of the values of missing data. Suitable only for distinct, univariate data where no ties is allowed.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.2.1)
Imports: gtools, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-01-22 12:28:55 UTC; yz720
Repository: CRAN
Date/Publication: 2025-01-29 19:00:02 UTC

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Package tosr updated to version 0.1.5 with previous version 0.1.4 dated 2024-01-14

Title: Create the Tree of Science from WoS and Scopus
Description: The goal of 'tosr' is to create the Tree of Science from Web of Science (WoS) and Scopus data. It can read files from both sources at the same time. More information can be found in Valencia-Hernández (2020) <https://revistas.unal.edu.co/index.php/ingeinv/article/view/77718>.
Author: Sebastian Robledo [aut, cre] , Martha Zuluaga [aut] , Oscar Arbelaez Echeverry [aut] , Luis Alexander Valencia Hernandez [aut], Centro de Bioinformatica y Biologia computacional de Colombia - BIOS [cph, fnd]
Maintainer: Sebastian Robledo <sebastian.robledo@gmail.com>

Diff between tosr versions 0.1.4 dated 2024-01-14 and 0.1.5 dated 2025-01-29

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New package textanalyzer with initial version 0.2.0
Package: textanalyzer
Title: 'textanalyzer', an R Package to Analyze Text
Version: 0.2.0
Description: It analyzes text to create a count of top n-grams, including tokens (one-word), bigrams(two-word), and trigrams (three-word), while removing all stopwords. It also plots the n-grams and corresponding counts as a bar chart.
License: GPL-3
Encoding: UTF-8
Depends: tidytext, tidyr, dplyr, ggplot2, utils, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-25 09:34:40 UTC; RPUSH1
Author: Pushker Ravindra [aut, cre]
Maintainer: Pushker Ravindra <pushker@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-29 17:20:02 UTC

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New package smarter with initial version 1.0.0
Package: smarter
Title: A Collection of Modified R Functions to Make Basic Coding More Convenient
Version: 1.0.0
Date: 2025-01-25
Description: A collection of recycled and modified R functions to aid in file manipulation, data exploration, wrangling, optimization, and object manipulation. Other functions aid in convenient data visualization, loop progression, software packaging, and installation.
Encoding: UTF-8
Imports: devtools, RCurl, Rcpp, gplots, grDevices, stats, usethis, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2025-01-25 21:00:04 UTC; Admin
Author: Paul Little [aut, cre]
Maintainer: Paul Little <pllittle321@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-29 17:40:02 UTC

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New package shinyCLT with initial version 0.9.3
Package: shinyCLT
Title: Central Limit Theorem 'shiny' Application
Version: 0.9.3
Description: A 'shiny' application estimating the operating characteristics of the Student's t-test by Student (1908) <doi:10.1093/biomet/6.1.1>, Welch's t-test by Welch (1947) <doi:10.1093/biomet/34.1-2.28>, and Wilcoxon test by Wilcoxon (1945) <doi:10.2307/3001968> in one-sample or two-sample cases, in settings defined by the user (conditional distribution, sample size per group, location parameter per group, nuisance parameter per group), using Monte Carlo simulations Malvin H. Kalos, Paula A. Whitlock (2008) <doi:10.1002/9783527626212>.
Imports: testthat, purrr, shiny, gamlss, dplyr, plotly, future, shinycssloaders, waiter, shinythemes, shinyWidgets, cachem, knitr
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-25 09:05:53 UTC; Nikita
Author: Dominique-Laurent Couturier [aut, cre] , Nikita Mozgunov [aut] , Thomas Jaki [aut]
Maintainer: Dominique-Laurent Couturier <dominique.couturier@mrc-bsu.cam.ac.uk>
Repository: CRAN
Date/Publication: 2025-01-29 17:20:05 UTC

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New package RAFS with initial version 0.2.5
Package: RAFS
Title: Robust Aggregative Feature Selection
Version: 0.2.5
Date: 2025-01-25
URL: https://www.mdfs.it/
Description: A cross-validated minimal-optimal feature selection algorithm. It utilises popularity counting, hierarchical clustering with feature dissimilarity measures, and prefiltering with all-relevant feature selection method to obtain the minimal-optimal set of features.
Depends: R (>= 4.2.0)
License: GPL-3
Encoding: UTF-8
Imports: fastcluster, MDFS (>= 1.5.3), splitTools
NeedsCompilation: no
Packaged: 2025-01-25 12:56:59 UTC; radek
Author: Radoslaw Piliszek [aut, cre], Witold Remigiusz Rudnicki [ths, aut]
Maintainer: Radoslaw Piliszek <radek@piliszek.it>
Repository: CRAN
Date/Publication: 2025-01-29 17:30:16 UTC

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New package MatTransMix with initial version 0.1.18
Package: MatTransMix
Version: 0.1.18
Date: 2025-1-6
Title: Clustering with Matrix Gaussian and Matrix Transformation Mixture Models
Depends: R (>= 3.0.0)
LazyLoad: yes
LazyData: no
Description: Provides matrix Gaussian mixture models, matrix transformation mixture models and their model-based clustering results. The parsimonious models of the mean matrices and variance covariance matrices are implemented with a total of 196 variations. For more information, please check: Xuwen Zhu, Shuchismita Sarkar, and Volodymyr Melnykov (2021), "MatTransMix: an R package for matrix model-based clustering and parsimonious mixture modeling", <doi:10.1007/s00357-021-09401-9>.
License: GPL (>= 2)
Imports: mvtnorm
Packaged: 2025-01-24 20:13:27 UTC; zhu
Author: Xuwen Zhu [aut, cre], Volodymyr Melnykov [aut], Shuchismita Sarkar [ctb], Michael Hutt [ctb, cph], Stephen Moshier [ctb, cph], Rouben Rostamian [ctb, cph], Carl Edward Rasmussen [ctb, cph], Dianne Cook [ctb, cph]
Maintainer: Xuwen Zhu <xzhu20@ua.edu>
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2025-01-29 17:20:08 UTC

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New package layer with initial version 0.0.3
Package: layer
Title: Tilt your Maps and Turn Them into 'ggplot' Plots
Version: 0.0.3
Description: Simplifies the whole process of creating stacked tilted maps, that are often used in scientific publications to show different environmental layers for a geographical region. Tilting maps and layering them allows to easily draw visual correlations between these environmental layers.
License: CC0
URL: https://github.com/marcosci/layer, https://marcosci.github.io/layer/
BugReports: https://github.com/marcosci/layer/issues
Depends: R (>= 2.10)
Imports: dplyr, furrr, ggnewscale, ggplot2, magrittr, raster, scico, sf, stars, tidyr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-25 09:54:53 UTC; ek
Author: Marco Sciaini [aut, cph], Cedric Scherer [aut], Josh Erickson [ctb], Egor Kotov [ctb, cre]
Maintainer: Egor Kotov <kotov.egor@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-29 17:30:05 UTC

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New package deprivateR with initial version 0.1.0
Package: deprivateR
Title: Calculating and Analyzing Measures of Deprivation in the United States
Version: 0.1.0
Description: Provides a unified framework to building Area Deprivation Index (ADI), Social Vulnerability Index (SVI), and Neighborhood Deprivation Index (NDI) deprivation measures and accessing related data from the U.S. Census Bureau such as Gini coefficient data. Tools are also available for calculating percentiles, quantiles, and for creating clear map breaks for data visualization.
Depends: R (>= 3.5)
License: Apache License (>= 2)
URL: https://pfizer-opensource.github.io/deprivateR/
BugReports: https://github.com/pfizer-opensource/deprivateR/issues
Encoding: UTF-8
Imports: classInt, dplyr, english, ndi, rlang, sf, sociome, stringr, tibble, tidycensus, tidyselect, tidyr, zippeR
Suggests: measurements, testthat, tigris
NeedsCompilation: no
Packaged: 2025-01-24 17:40:47 UTC; prenec
Author: Christopher Prener [aut, cre] , Timothy Wiemken [aut]
Maintainer: Christopher Prener <christopher.prener@pfizer.com>
Repository: CRAN
Date/Publication: 2025-01-29 17:10:02 UTC

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Package broom.helpers updated to version 1.19.0 with previous version 1.18.0 dated 2025-01-07

Title: Helpers for Model Coefficients Tibbles
Description: Provides suite of functions to work with regression model 'broom::tidy()' tibbles. The suite includes functions to group regression model terms by variable, insert reference and header rows for categorical variables, add variable labels, and more.
Author: Joseph Larmarange [aut, cre] , Daniel D. Sjoberg [aut]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between broom.helpers versions 1.18.0 dated 2025-01-07 and 1.19.0 dated 2025-01-29

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More information about broom.helpers at CRAN
Permanent link

New package reproducibleRchunks with initial version 1.0.2
Package: reproducibleRchunks
Title: Automated Reproducibility Checks for R Markdown Documents
Version: 1.0.2
Description: Provide reproducible R chunks in R Markdown document that automatically check computational results for reproducibility. This is achieved by creating json files storing metadata about computational results. A comprehensive tutorial to the package is available as preprint by Brandmaier & Peikert (2024, <doi:10.31234/osf.io/3zjvf>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: jsonlite, knitr, digest, rstudioapi, utils
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
BugReports: https://github.com/brandmaier/reproducibleRchunks/issues
NeedsCompilation: no
Packaged: 2025-01-24 10:07:23 UTC; andreas.brandmaier
Author: Andreas M. Brandmaier [aut, cre], Aaron Peikert [ctb]
Maintainer: Andreas M. Brandmaier <andreas.brandmaier@medicalschool-berlin.de>
Repository: CRAN
Date/Publication: 2025-01-29 16:40:02 UTC

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Package quantreg updated to version 6.00 with previous version 5.99.1 dated 2024-11-22

Title: Quantile Regression
Description: Estimation and inference methods for models for conditional quantile functions: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also now included. See Koenker, R. (2005) Quantile Regression, Cambridge U. Press, <doi:10.1017/CBO9780511754098> and Koenker, R. et al. (2017) Handbook of Quantile Regression, CRC Press, <doi:10.1201/9781315120256>.
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] , Pin Tian Ng [ctb] , Blaise Melly [ctb] , Achim Zeileis [ctb] , Philip Grosjean [ctb] , Cleve Moler [ctb] , Yousef Saad [ctb] , Victor Chernozhukov [ctb] , Ivan Fernandez-Val [ctb] , Martin Maechler [c [...truncated...]
Maintainer: Roger Koenker <rkoenker@illinois.edu>

Diff between quantreg versions 5.99.1 dated 2024-11-22 and 6.00 dated 2025-01-29

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Package mlt updated to version 1.6-2 with previous version 1.6-1 dated 2024-11-18

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020) <DOI:10.18637/jss.v092.i01>. Shift-scale (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) and multivariate (Klein et al, 2022, <DOI:10.1111/sjos.12501>) transformation models are part of this package. A package vignette is available from <DOI:10.32614/CRAN.package.mlt.docreg> and more convenient user interfaces to many models from <DOI:10.32614/CRAN.package.tram>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mlt versions 1.6-1 dated 2024-11-18 and 1.6-2 dated 2025-01-29

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New package MEGB with initial version 0.1
Package: MEGB
Title: Gradient Boosting for Longitudinal Data
Version: 0.1
Author: Oyebayo Ridwan Olaniran [aut, cre], Saidat Fehintola Olaniran [aut]
Maintainer: Oyebayo Ridwan Olaniran <olaniran.or@unilorin.edu.ng>
Description: Gradient boosting is a powerful statistical learning method known for its ability to model complex relationships between predictors and outcomes while performing inherent variable selection. However, traditional gradient boosting methods lack flexibility in handling longitudinal data where within-subject correlations play a critical role. In this package, we propose a novel approach Mixed Effect Gradient Boosting ('MEGB'), designed specifically for high-dimensional longitudinal data. 'MEGB' incorporates a flexible semi-parametric model that embeds random effects within the gradient boosting framework, allowing it to account for within-individual covariance over time. Additionally, the method efficiently handles scenarios where the number of predictors greatly exceeds the number of observations (p>>n) making it particularly suitable for genomics data and other large-scale biomedical studies.
License: GPL-2
Encoding: UTF-8
Imports: stats, gbm, MASS, latex2exp
NeedsCompilation: no
Suggests: testthat (>= 3.0.0)
Packaged: 2025-01-24 13:47:19 UTC; USER
Repository: CRAN
Date/Publication: 2025-01-29 17:00:02 UTC

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New package BayesCPclust with initial version 0.1.0
Package: BayesCPclust
Title: A Bayesian Approach for Clustering Constant-Wise Change-Point Data
Version: 0.1.0
Description: A Gibbs sampler algorithm was developed to estimate change points in constant-wise data sequences while performing clustering simultaneously. The algorithm is described in da Cruz, A. C. and de Souza, C. P. E "A Bayesian Approach for Clustering Constant-wise Change-point Data" <doi:10.48550/arXiv.2305.17631>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: extraDistr, RcppAlgos, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-01-24 13:11:21 UTC; carol
Author: Ana Carolina da Cruz [aut, cre]
Maintainer: Ana Carolina da Cruz <adacruz@uwo.ca>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-01-29 16:50:06 UTC

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Package acro updated to version 0.1.4 with previous version 0.1.3 dated 2024-10-22

Title: A Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs
Description: Assists researchers and output checkers by distinguishing between research output that is safe to publish, output that requires further analysis, and output that cannot be published because of substantial disclosure risk. A paper about the tool was presented at the UNECE Expert Meeting on Statistical Data Confidentiality 2023; see <https://uwe-repository.worktribe.com/output/11060964>.
Author: Jim Smith [cre, ctb] , Maha Albashir [aut, ctb], Richard John Preen [aut, ctb]
Maintainer: Jim Smith <James.Smith@uwe.ac.uk>

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Package trtf updated to version 0.4-3 with previous version 0.4-2 dated 2023-02-10

Title: Transformation Trees and Forests
Description: Recursive partytioning of transformation models with corresponding random forest for conditional transformation models as described in 'Transformation Forests' (Hothorn and Zeileis, 2021, <doi:10.1080/10618600.2021.1872581>) and 'Top-Down Transformation Choice' (Hothorn, 2018, <DOI:10.1177/1471082X17748081>).
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package multcomp updated to version 1.4-28 with previous version 1.4-26 dated 2024-07-18

Title: Simultaneous Inference in General Parametric Models
Description: Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).
Author: Torsten Hothorn [aut, cre] , Frank Bretz [aut], Peter Westfall [aut], Richard M. Heiberger [ctb], Andre Schuetzenmeister [ctb], Susan Scheibe [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package geometa updated to version 0.9 with previous version 0.8-0 dated 2024-04-18

Title: Tools for Reading and Writing ISO/OGC Geographic Metadata
Description: Provides facilities to read, write and validate geographic metadata defined with ISO TC211 / OGC ISO geographic information metadata standards, and encoded using the ISO 19139 and ISO 19115-3 (XML) standard technical specifications. This includes ISO 19110 (Feature cataloguing), 19115 (dataset metadata), 19119 (service metadata) and 19136 (GML). Other interoperable schemas from the OGC are progressively supported as well, such as the Sensor Web Enablement (SWE) Common Data Model, the OGC GML Coverage Implementation Schema (GMLCOV), or the OGC GML Referenceable Grid (GMLRGRID).
Author: Emmanuel Blondel [aut, cre] , R Consortium [fnd]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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 geometa-0.9/geometa/man/GMLCOVExtension.Rd                               |    8 
 geometa-0.9/geometa/man/GMLCartesianCS.Rd                                |    6 
 geometa-0.9/geometa/man/GMLCodeType.Rd                                   |    8 
 geometa-0.9/geometa/man/GMLCompoundCRS.Rd                                |    8 
 geometa-0.9/geometa/man/GMLConventionalUnit.Rd                           |    8 
 geometa-0.9/geometa/man/GMLConversion.Rd                                 |    6 
 geometa-0.9/geometa/man/GMLCoordinateSystemAxis.Rd                       |    8 
 geometa-0.9/geometa/man/GMLCylindricalCS.Rd                              |    6 
 geometa-0.9/geometa/man/GMLDefinition.Rd                                 |    8 
 geometa-0.9/geometa/man/GMLDerivedCRS.Rd                                 |    6 
 geometa-0.9/geometa/man/GMLDerivedUnit.Rd                                |    8 
 geometa-0.9/geometa/man/GMLElement.Rd                                    |   10 
 geometa-0.9/geometa/man/GMLEllipsoidalCS.Rd                              |    6 
 geometa-0.9/geometa/man/GMLEnvelope.Rd                                   |   10 
 geometa-0.9/geometa/man/GMLEnvelopeWithTimePeriod.Rd                     |   10 
 geometa-0.9/geometa/man/GMLGeneralGridAxis.Rd                            |   10 
 geometa-0.9/geometa/man/GMLGeodeticCRS.Rd                                |    6 
 geometa-0.9/geometa/man/GMLGrid.Rd                                       |    8 
 geometa-0.9/geometa/man/GMLGridCoverage.Rd                               |    8 
 geometa-0.9/geometa/man/GMLGridEnvelope.Rd                               |    6 
 geometa-0.9/geometa/man/GMLGridFunction.Rd                               |    8 
 geometa-0.9/geometa/man/GMLLineString.Rd                                 |    8 
 geometa-0.9/geometa/man/GMLLinearCS.Rd                                   |    6 
 geometa-0.9/geometa/man/GMLLinearRing.Rd                                 |    8 
 geometa-0.9/geometa/man/GMLMultiCurve.Rd                                 |    8 
 geometa-0.9/geometa/man/GMLMultiCurveCoverage.Rd                         |    8 
 geometa-0.9/geometa/man/GMLMultiPoint.Rd                                 |    8 
 geometa-0.9/geometa/man/GMLMultiPointCoverage.Rd                         |    8 
 geometa-0.9/geometa/man/GMLMultiSolidCoverage.Rd                         |    8 
 geometa-0.9/geometa/man/GMLMultiSurface.Rd                               |    8 
 geometa-0.9/geometa/man/GMLMultiSurfaceCoverage.Rd                       |    8 
 geometa-0.9/geometa/man/GMLObliqueCartesianCS.Rd                         |    6 
 geometa-0.9/geometa/man/GMLOperationMethod.Rd                            |    6 
 geometa-0.9/geometa/man/GMLOperationParameter.Rd                         |    6 
 geometa-0.9/geometa/man/GMLOperationParameterGroup.Rd                    |    6 
 geometa-0.9/geometa/man/GMLParameterValue.Rd                             |    8 
 geometa-0.9/geometa/man/GMLParameterValueGroup.Rd                        |    8 
 geometa-0.9/geometa/man/GMLPoint.Rd                                      |    8 
 geometa-0.9/geometa/man/GMLPolarCS.Rd                                    |    6 
 geometa-0.9/geometa/man/GMLPolygon.Rd                                    |    8 
 geometa-0.9/geometa/man/GMLProjectedCRS.Rd                               |    6 
 geometa-0.9/geometa/man/GMLRectifiedGrid.Rd                              |    8 
 geometa-0.9/geometa/man/GMLRectifiedGridCoverage.Rd                      |    8 
 geometa-0.9/geometa/man/GMLReferenceableGridByArray.Rd                   |    8 
 geometa-0.9/geometa/man/GMLReferenceableGridByTransformation.Rd          |    8 
 geometa-0.9/geometa/man/GMLReferenceableGridByVectors.Rd                 |    8 
 geometa-0.9/geometa/man/GMLSphericalCS.Rd                                |    6 
 geometa-0.9/geometa/man/GMLTemporalCRS.Rd                                |    6 
 geometa-0.9/geometa/man/GMLTemporalCS.Rd                                 |    6 
 geometa-0.9/geometa/man/GMLTimeCS.Rd                                     |    6 
 geometa-0.9/geometa/man/GMLTimeInstant.Rd                                |    8 
 geometa-0.9/geometa/man/GMLTimePeriod.Rd                                 |    8 
 geometa-0.9/geometa/man/GMLUnitDefinition.Rd                             |    8 
 geometa-0.9/geometa/man/GMLUserDefinedCS.Rd                              |    6 
 geometa-0.9/geometa/man/GMLVerticalCRS.Rd                                |    6 
 geometa-0.9/geometa/man/GMLVerticalCS.Rd                                 |    6 
 geometa-0.9/geometa/man/INSPIREMetadataValidator.Rd                      |   10 
 geometa-0.9/geometa/man/ISOAbsoluteExternalPositionalAccuracy.Rd         |   17 
 geometa-0.9/geometa/man/ISOAbstractAcquisitionInformation.Rd             |only
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 geometa-0.9/geometa/man/ISOAbstractApplicationSchemaInformation.Rd       |only
 geometa-0.9/geometa/man/ISOAbstractCarrierOfCharacteristics.Rd           |    8 
 geometa-0.9/geometa/man/ISOAbstractCatalogue.Rd                          |   14 
 geometa-0.9/geometa/man/ISOAbstractCitation.Rd                           |only
 geometa-0.9/geometa/man/ISOAbstractCompleteness.Rd                       |   17 
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 geometa-0.9/geometa/man/ISOAbstractFeatureCatalogue.Rd                   |only
 geometa-0.9/geometa/man/ISOAbstractFeatureType.Rd                        |only
 geometa-0.9/geometa/man/ISOAbstractFormat.Rd                             |only
 geometa-0.9/geometa/man/ISOAbstractGenericName.Rd                        |    8 
 geometa-0.9/geometa/man/ISOAbstractLineageInformation.Rd                 |only
 geometa-0.9/geometa/man/ISOAbstractLogicalConsistency.Rd                 |   17 
 geometa-0.9/geometa/man/ISOAbstractMDContentInformation.Rd               |only
 geometa-0.9/geometa/man/ISOAbstractMaintenanceInformation.Rd             |only
 geometa-0.9/geometa/man/ISOAbstractMetadata.Rd                           |only
 geometa-0.9/geometa/man/ISOAbstractMetadataExtension.Rd                  |only
 geometa-0.9/geometa/man/ISOAbstractMetaquality.Rd                        |only
 geometa-0.9/geometa/man/ISOAbstractObject.Rd                             |   48 
 geometa-0.9/geometa/man/ISOAbstractOnlineResource.Rd                     |only
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 geometa-0.9/geometa/man/ISOAbstractPortrayalCatalogueInformation.Rd      |only
 geometa-0.9/geometa/man/ISOAbstractPositionalAccuracy.Rd                 |   17 
 geometa-0.9/geometa/man/ISOAbstractPropertyType.Rd                       |   33 
 geometa-0.9/geometa/man/ISOAbstractQualityElement.Rd                     |only
 geometa-0.9/geometa/man/ISOAbstractRSReferenceSystem.Rd                  |only
 geometa-0.9/geometa/man/ISOAbstractReferenceSystem.Rd                    |   85 
 geometa-0.9/geometa/man/ISOAbstractResourceDescription.Rd                |only
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 geometa-0.9/geometa/man/ISOAbstractResult.Rd                             |   23 
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 geometa-0.9/geometa/man/ISOAbstractTemporalAccuracy.Rd                   |   17 
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 geometa-0.9/geometa/man/ISOAbstractThematicAccuracy.Rd                   |   17 
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 geometa-0.9/geometa/man/ISOAccuracyOfATimeMeasurement.Rd                 |   17 
 geometa-0.9/geometa/man/ISOAddress.Rd                                    |  104 
 geometa-0.9/geometa/man/ISOAggregateInformation.Rd                       |    8 
 geometa-0.9/geometa/man/ISOAggregationDerivation.Rd                      |only
 geometa-0.9/geometa/man/ISOAnchor.Rd                                     |   12 
 geometa-0.9/geometa/man/ISOAngle.Rd                                      |   12 
 geometa-0.9/geometa/man/ISOApplicationSchemaInformation.Rd               |   16 
 geometa-0.9/geometa/man/ISOAssociatedResource.Rd                         |only
 geometa-0.9/geometa/man/ISOAssociation.Rd                                |    8 
 geometa-0.9/geometa/man/ISOAssociationRole.Rd                            |    9 
 geometa-0.9/geometa/man/ISOAssociationType.Rd                            |   12 
 geometa-0.9/geometa/man/ISOAttributeGroup.Rd                             |only
 geometa-0.9/geometa/man/ISOAttributes.Rd                                 |    4 
 geometa-0.9/geometa/man/ISOBand.Rd                                       |   15 
 geometa-0.9/geometa/man/ISOBaseBoolean.Rd                                |   12 
 geometa-0.9/geometa/man/ISOBaseCharacterString.Rd                        |   12 
 geometa-0.9/geometa/man/ISOBaseDate.Rd                                   |   12 
 geometa-0.9/geometa/man/ISOBaseDateTime.Rd                               |   12 
 geometa-0.9/geometa/man/ISOBaseDecimal.Rd                                |   12 
 geometa-0.9/geometa/man/ISOBaseInteger.Rd                                |   12 
 geometa-0.9/geometa/man/ISOBaseReal.Rd                                   |   12 
 geometa-0.9/geometa/man/ISOBinary.Rd                                     |   12 
 geometa-0.9/geometa/man/ISOBinding.Rd                                    |    6 
 geometa-0.9/geometa/man/ISOBoundAssociationRole.Rd                       |    6 
 geometa-0.9/geometa/man/ISOBoundFeatureAttribute.Rd                      |    6 
 geometa-0.9/geometa/man/ISOBoundingPolygon.Rd                            |   12 
 geometa-0.9/geometa/man/ISOBrowseGraphic.Rd                              |   12 
 geometa-0.9/geometa/man/ISOCTCodelistValue.Rd                            |only
 geometa-0.9/geometa/man/ISOCarrierOfCharacteristics.Rd                   |    8 
 geometa-0.9/geometa/man/ISOCellGeometry.Rd                               |   21 
 geometa-0.9/geometa/man/ISOCharacterSet.Rd                               |   12 
 geometa-0.9/geometa/man/ISOCitation.Rd                                   |  185 
 geometa-0.9/geometa/man/ISOCitationSeries.Rd                             |    8 
 geometa-0.9/geometa/man/ISOClassification.Rd                             |   12 
 geometa-0.9/geometa/man/ISOCodeDefinition.Rd                             |only
 geometa-0.9/geometa/man/ISOCodeListDictionary.Rd                         |only
 geometa-0.9/geometa/man/ISOCodeListValue.Rd                              |  329 -
 geometa-0.9/geometa/man/ISOCodelist.Rd                                   |   69 
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 geometa-0.9/geometa/man/ISOCompletenessCommission.Rd                     |   17 
 geometa-0.9/geometa/man/ISOCompletenessOmission.Rd                       |   17 
 geometa-0.9/geometa/man/ISOConceptualConsistency.Rd                      |   17 
 geometa-0.9/geometa/man/ISOConfidence.Rd                                 |only
 geometa-0.9/geometa/man/ISOConformanceResult.Rd                          |   52 
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 geometa-0.9/geometa/man/ISOConstraints.Rd                                |  184 
 geometa-0.9/geometa/man/ISOContact.Rd                                    |  232 +
 geometa-0.9/geometa/man/ISOCountry.Rd                                    |   12 
 geometa-0.9/geometa/man/ISOCoupledResource.Rd                            |   12 
 geometa-0.9/geometa/man/ISOCouplingType.Rd                               |   12 
 geometa-0.9/geometa/man/ISOCoverageContentType.Rd                        |   14 
 geometa-0.9/geometa/man/ISOCoverageDescription.Rd                        |   14 
 geometa-0.9/geometa/man/ISODCPList.Rd                                    |   12 
 geometa-0.9/geometa/man/ISODataFile.Rd                                   |    8 
 geometa-0.9/geometa/man/ISODataIdentification.Rd                         |  544 --
 geometa-0.9/geometa/man/ISODataIdentification19115_3.Rd                  |only
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 geometa-0.9/geometa/man/ISODataInspection.Rd                             |only
 geometa-0.9/geometa/man/ISODataQuality.Rd                                |   34 
 geometa-0.9/geometa/man/ISODataQualityAbstractElement.Rd                 |  138 
 geometa-0.9/geometa/man/ISODataQualityScope.Rd                           |only
 geometa-0.9/geometa/man/ISODataSet.Rd                                    |    8 
 geometa-0.9/geometa/man/ISODatatype.Rd                                   |    8 
 geometa-0.9/geometa/man/ISODate.Rd                                       |   21 
 geometa-0.9/geometa/man/ISODateType.Rd                                   |   12 
 geometa-0.9/geometa/man/ISODefinitionReference.Rd                        |    8 
 geometa-0.9/geometa/man/ISODefinitionSource.Rd                           |    8 
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 geometa-0.9/geometa/man/ISODigitalTransferOptions.Rd                     |   56 
 geometa-0.9/geometa/man/ISODimension.Rd                                  |   12 
 geometa-0.9/geometa/man/ISODimensionNameType.Rd                          |   12 
 geometa-0.9/geometa/man/ISODistance.Rd                                   |   23 
 geometa-0.9/geometa/man/ISODistribution.Rd                               |   12 
 geometa-0.9/geometa/man/ISODistributionUnits.Rd                          |    8 
 geometa-0.9/geometa/man/ISODistributor.Rd                                |  100 
 geometa-0.9/geometa/man/ISODomainConsistency.Rd                          |   17 
 geometa-0.9/geometa/man/ISOElementSequence.Rd                            |    8 
 geometa-0.9/geometa/man/ISOEvaluationMethod.Rd                           |only
 geometa-0.9/geometa/man/ISOEvaluationMethodType.Rd                       |   12 
 geometa-0.9/geometa/man/ISOExtendedElementInformation.Rd                 |    8 
 geometa-0.9/geometa/man/ISOExtent.Rd                                     |   12 
 geometa-0.9/geometa/man/ISOFeatureAssociation.Rd                         |   24 
 geometa-0.9/geometa/man/ISOFeatureAssociation19115_3.Rd                  |only
 geometa-0.9/geometa/man/ISOFeatureAssociation19139.Rd                    |only
 geometa-0.9/geometa/man/ISOFeatureAttribute.Rd                           |   12 
 geometa-0.9/geometa/man/ISOFeatureCatalogue.Rd                           |   10 
 geometa-0.9/geometa/man/ISOFeatureCatalogueDescription.Rd                |   60 
 geometa-0.9/geometa/man/ISOFeatureOperation.Rd                           |    9 
 geometa-0.9/geometa/man/ISOFeatureType.Rd                                |  361 -
 geometa-0.9/geometa/man/ISOFeatureType19115_3.Rd                         |only
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 geometa-0.9/geometa/man/ISOFeatureTypeInfo.Rd                            |only
 geometa-0.9/geometa/man/ISOFileName.Rd                                   |   12 
 geometa-0.9/geometa/man/ISOFormat.Rd                                     |   84 
 geometa-0.9/geometa/man/ISOFormatConsistency.Rd                          |   17 
 geometa-0.9/geometa/man/ISOFreeText.Rd                                   |   12 
 geometa-0.9/geometa/man/ISOFullInspection.Rd                             |only
 geometa-0.9/geometa/man/ISOGeographicBoundingBox.Rd                      |   12 
 geometa-0.9/geometa/man/ISOGeographicDescription.Rd                      |   12 
 geometa-0.9/geometa/man/ISOGeographicExtent.Rd                           |   12 
 geometa-0.9/geometa/man/ISOGeometricObjectType.Rd                        |   12 
 geometa-0.9/geometa/man/ISOGeometricObjects.Rd                           |   12 
 geometa-0.9/geometa/man/ISOGeorectified.Rd                               |   14 
 geometa-0.9/geometa/man/ISOGeoreferenceable.Rd                           |   14 
 geometa-0.9/geometa/man/ISOGridSpatialRepresentation.Rd                  |   14 
 geometa-0.9/geometa/man/ISOGriddedDataPositionalAccuracy.Rd              |   17 
 geometa-0.9/geometa/man/ISOHomogeneity.Rd                                |only
 geometa-0.9/geometa/man/ISOIdentification.Rd                             |  569 --
 geometa-0.9/geometa/man/ISOIdentification19115_3.Rd                      |only
 geometa-0.9/geometa/man/ISOIdentification19139.Rd                        |only
 geometa-0.9/geometa/man/ISOImageDescription.Rd                           |   14 
 geometa-0.9/geometa/man/ISOImageryAbstractGeolocationInformation.Rd      |   12 
 geometa-0.9/geometa/man/ISOImageryAcquisitionInformation.Rd              |   34 
 geometa-0.9/geometa/man/ISOImageryAlgorithm.Rd                           |   12 
 geometa-0.9/geometa/man/ISOImageryBand.Rd                                |   15 
 geometa-0.9/geometa/man/ISOImageryBandDefinition.Rd                      |   12 
 geometa-0.9/geometa/man/ISOImageryContext.Rd                             |   12 
 geometa-0.9/geometa/man/ISOImageryCoverageDescription.Rd                 |   14 
 geometa-0.9/geometa/man/ISOImageryCoverageResult.Rd                      |   55 
 geometa-0.9/geometa/man/ISOImageryEnvironmentalRecord.Rd                 |   52 
 geometa-0.9/geometa/man/ISOImageryEvent.Rd                               |   12 
 geometa-0.9/geometa/man/ISOImageryGCP.Rd                                 |   12 
 geometa-0.9/geometa/man/ISOImageryGCPCollection.Rd                       |   41 
 geometa-0.9/geometa/man/ISOImageryGeometryType.Rd                        |   12 
 geometa-0.9/geometa/man/ISOImageryGeorectified.Rd                        |   14 
 geometa-0.9/geometa/man/ISOImageryGeoreferenceable.Rd                    |   14 
 geometa-0.9/geometa/man/ISOImageryImageDescription.Rd                    |   14 
 geometa-0.9/geometa/man/ISOImageryInstrument.Rd                          |  140 
 geometa-0.9/geometa/man/ISOImageryMetadata.Rd                            |   32 
 geometa-0.9/geometa/man/ISOImageryNominalResolution.Rd                   |   19 
 geometa-0.9/geometa/man/ISOImageryObjective.Rd                           |   12 
 geometa-0.9/geometa/man/ISOImageryObjectiveType.Rd                       |   12 
 geometa-0.9/geometa/man/ISOImageryOperation.Rd                           |   52 
 geometa-0.9/geometa/man/ISOImageryOperationType.Rd                       |   12 
 geometa-0.9/geometa/man/ISOImageryPlan.Rd                                |   12 
 geometa-0.9/geometa/man/ISOImageryPlatform.Rd                            |   96 
 geometa-0.9/geometa/man/ISOImageryPlatformPass.Rd                        |   12 
 geometa-0.9/geometa/man/ISOImageryPolarisationOrientation.Rd             |   12 
 geometa-0.9/geometa/man/ISOImageryPriority.Rd                            |   12 
 geometa-0.9/geometa/man/ISOImageryProcessStep.Rd                         |   12 
 geometa-0.9/geometa/man/ISOImageryProcessStepReport.Rd                   |   12 
 geometa-0.9/geometa/man/ISOImageryProcessing.Rd                          |   12 
 geometa-0.9/geometa/man/ISOImageryRangeElementDescription.Rd             |   12 
 geometa-0.9/geometa/man/ISOImageryRequestedDate.Rd                       |   12 
 geometa-0.9/geometa/man/ISOImageryRequirement.Rd                         |   12 
 geometa-0.9/geometa/man/ISOImageryRevision.Rd                            |only
 geometa-0.9/geometa/man/ISOImagerySensor.Rd                              |only
 geometa-0.9/geometa/man/ISOImagerySensorType.Rd                          |   23 
 geometa-0.9/geometa/man/ISOImagerySequence.Rd                            |   12 
 geometa-0.9/geometa/man/ISOImagerySource.Rd                              |   12 
 geometa-0.9/geometa/man/ISOImageryTransferFunctionType.Rd                |   12 
 geometa-0.9/geometa/man/ISOImageryTrigger.Rd                             |   12 
 geometa-0.9/geometa/man/ISOImageryUsability.Rd                           |   15 
 geometa-0.9/geometa/man/ISOImagingCondition.Rd                           |   12 
 geometa-0.9/geometa/man/ISOIndirectEvaluation.Rd                         |only
 geometa-0.9/geometa/man/ISOIndividual.Rd                                 |only
 geometa-0.9/geometa/man/ISOInheritanceRelation.Rd                        |    6 
 geometa-0.9/geometa/man/ISOInitiative.Rd                                 |    8 
 geometa-0.9/geometa/man/ISOInitiativeType.Rd                             |   12 
 geometa-0.9/geometa/man/ISOInstrumentationEvent.Rd                       |only
 geometa-0.9/geometa/man/ISOInstrumentationEventList.Rd                   |only
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 geometa-0.9/geometa/man/ISOKeywordClass.Rd                               |only
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 geometa-0.9/geometa/man/ISOKeywords.Rd                                   |   12 
 geometa-0.9/geometa/man/ISOLanguage.Rd                                   |   12 
 geometa-0.9/geometa/man/ISOLegalConstraints.Rd                           |   20 
 geometa-0.9/geometa/man/ISOLength.Rd                                     |   12 
 geometa-0.9/geometa/man/ISOLineage.Rd                                    |   12 
 geometa-0.9/geometa/man/ISOListedValue.Rd                                |    8 
 geometa-0.9/geometa/man/ISOLocalName.Rd                                  |   10 
 geometa-0.9/geometa/man/ISOLocale.Rd                                     |   20 
 geometa-0.9/geometa/man/ISOLocaleContainer.Rd                            |   78 
 geometa-0.9/geometa/man/ISOLocalisedCharacterString.Rd                   |   12 
 geometa-0.9/geometa/man/ISOMDFeatureCatalogue.Rd                         |only
 geometa-0.9/geometa/man/ISOMLCodeDefinition.Rd                           |only
 geometa-0.9/geometa/man/ISOMLCodeListDictionary.Rd                       |only
 geometa-0.9/geometa/man/ISOMaintenanceFrequency.Rd                       |   12 
 geometa-0.9/geometa/man/ISOMaintenanceInformation.Rd                     |   12 
 geometa-0.9/geometa/man/ISOMeasure.Rd                                    |   12 
 geometa-0.9/geometa/man/ISOMeasureReference.Rd                           |only
 geometa-0.9/geometa/man/ISOMedium.Rd                                     |   12 
 geometa-0.9/geometa/man/ISOMediumFormat.Rd                               |   12 
 geometa-0.9/geometa/man/ISOMediumName.Rd                                 |    8 
 geometa-0.9/geometa/man/ISOMemberName.Rd                                 |   12 
 geometa-0.9/geometa/man/ISOMetaIdentifier.Rd                             |  125 
 geometa-0.9/geometa/man/ISOMetadata.Rd                                   |  428 ++
 geometa-0.9/geometa/man/ISOMetadataExtensionInformation.Rd               |    8 
 geometa-0.9/geometa/man/ISOMetadataNamespace.Rd                          |   24 
 geometa-0.9/geometa/man/ISOMetadataScope.Rd                              |only
 geometa-0.9/geometa/man/ISOMimeFileType.Rd                               |   12 
 geometa-0.9/geometa/man/ISOMultiplicity.Rd                               |   12 
 geometa-0.9/geometa/man/ISOMultiplicityRange.Rd                          |   12 
 geometa-0.9/geometa/man/ISONonQuantitativeAttributeAccuracy.Rd           |   17 
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Package basefun updated to version 1.2-2 with previous version 1.2-1 dated 2025-01-17

Title: Infrastructure for Computing with Basis Functions
Description: Some very simple infrastructure for basis functions.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between basefun versions 1.2-1 dated 2025-01-17 and 1.2-2 dated 2025-01-29

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Permanent link

Package shinyscholar updated to version 0.2.4 with previous version 0.2.3 dated 2025-01-17

Title: A Template for Creating Reproducible 'shiny' Applications
Description: Create a skeleton 'shiny' application with create_template() that is reproducible, can be saved and meets academic standards for attribution. Forked from 'wallace'. Code is split into modules that are loaded and linked together automatically and each call one function. Guidance pages explain modules to users and flexible logging informs them of any errors. Options enable asynchronous operations, viewing of source code, interactive maps and data tables. Use to create complex analytical applications, following best practices in open science and software development. Includes functions for automating repetitive development tasks and an example application at run_shinyscholar() that requires install.packages("shinyscholar", dependencies = TRUE). A guide to developing applications can be found on the package website.
Author: Simon E. H. Smart [aut, cre, cph], Tim Lucas [aut] , Jamie M. Kass [ctb], Gonzalo E. Pinilla-Buitrago [ctb], Andrea Paz [ctb], Bethany A. Johnson [ctb], Valentina Grisales-Betancur [ctb], Dean Attali [ctb], Matthew E. Aiello-Lammens [ctb], Cory Merow [...truncated...]
Maintainer: Simon E. H. Smart <simon.smart@cantab.net>

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Package RcppStreams updated to version 0.1.4 with previous version 0.1.3 dated 2019-02-25

Title: 'Rcpp' Integration of the 'Streamulus' 'DSEL' for Stream Processing
Description: The 'Streamulus' (template, header-only) library by Irit Katriel (at <https://github.com/iritkatriel/streamulus>) provides a very powerful yet convenient framework for stream processing. This package connects 'Streamulus' to R by providing both the header files and all examples.
Author: Dirk Eddelbuettel [aut, cre] , Irit Katriel [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package phoenics updated to version 0.5 with previous version 0.4 dated 2024-12-12

Title: Pathways Longitudinal and Differential Analysis in Metabolomics
Description: Perform a differential analysis at pathway level based on metabolite quantifications and information on pathway metabolite composition. The method is based on a Principal Component Analysis step and on a linear mixed model. Automatic query of metabolic pathways is also implemented.
Author: Camille Guilmineau [aut, cre], Remi Servien [aut] , Nathalie Vialaneix [aut]
Maintainer: Camille Guilmineau <camille.guilmineau@inrae.fr>

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Package nanoparquet updated to version 0.4.0 with previous version 0.3.1 dated 2024-07-01

Title: Read and Write 'Parquet' Files
Description: Self-sufficient reader and writer for flat 'Parquet' files. Can read most 'Parquet' data types. Can write many 'R' data types, including factors and temporal types. See docs for limitations.
Author: Gabor Csardi [aut, cre], Hannes Muehleisen [aut, cph] , Google Inc. [cph], Apache Software Foundation [cph], Posit Software, PBC [cph], RAD Game Tools [cph], Valve Software [cph], Tenacious Software LLC [cph], Facebook, Inc. [cph]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package remstimate updated to version 2.3.13 with previous version 2.3.11 dated 2024-05-16

Title: Optimization Frameworks for Tie-Oriented and Actor-Oriented Relational Event Models
Description: A comprehensive set of tools designed for optimizing likelihood within a tie-oriented (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>) or an actor-oriented modelling framework (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>) in relational event networks. The package accommodates both frequentist and Bayesian approaches. The frequentist approaches that the package incorporates are the Maximum Likelihood Optimization (MLE) and the Gradient-based Optimization (GDADAMAX). The Bayesian methodologies included in the package are the Bayesian Sampling Importance Resampling (BSIR) and the Hamiltonian Monte Carlo (HMC). The flexibility of choosing between frequentist and Bayesian optimization approaches allows researchers to select the estimation approach which aligns the most with their analytical preferences.
Author: Giuseppe Arena [aut, cre] , Rumana Lakdawala [aut], Fabio Generoso Vieira [aut], Marlyne Meijerink-Bosman [ctb], Diana Karimova [ctb], Mahdi Shafiee Kamalabad [ctb], Roger Leenders [ctb], Joris Mulder [ctb]
Maintainer: Giuseppe Arena <g.arena@uva.nl>

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Package remstats updated to version 3.2.4 with previous version 3.2.2 dated 2024-05-15

Title: Computes Statistics for Relational Event History Data
Description: Computes a variety of statistics for relational event models. Relational event models enable researchers to investigate both exogenous and endogenous factors influencing the evolution of a time-ordered sequence of events. These models are categorized into tie-oriented models (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>), where the probability of a dyad interacting next is modeled in a single step, and actor-oriented models (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>), which first model the probability of a sender initiating an interaction and subsequently the probability of the sender's choice of receiver. The package is designed to compute a variety of statistics that summarize exogenous and endogenous influences on the event stream for both types of models.
Author: Giuseppe Arena [aut, cre] , Marlyne Meijerink-Bosman [aut], Diana Karimova [ctb], Rumana Lakdawala [ctb], Mahdi Shafiee Kamalabad [ctb], Fabio Generoso Vieira [ctb], Roger Leenders [ctb], Joris Mulder [ctb]
Maintainer: Giuseppe Arena <g.arena@uva.nl>

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Package remify updated to version 3.2.8 with previous version 3.2.6 dated 2024-05-15

Title: Processing and Transforming Relational Event History Data
Description: Efficiently processes relational event history data and transforms them into formats suitable for other packages. The primary objective of this package is to convert event history data into a format that integrates with the packages in 'remverse' and is compatible with various analytical tools (e.g., computing network statistics, estimating tie-oriented or actor-oriented social network models). Second, it can also transform the data into formats compatible with other packages out of 'remverse'. The package processes the data for two types of temporal social network models: tie-oriented modeling framework (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>) and actor-oriented modeling framework (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>).
Author: Giuseppe Arena [aut, cre] , Rumana Lakdawala [ctb], Marlyne Meijerink-Bosman [ctb], Diana Karimova [ctb], Fabio Generoso Vieira [ctb], Mahdi Shafiee Kamalabad [ctb], Roger Leenders [ctb], Joris Mulder [ctb]
Maintainer: Giuseppe Arena <g.arena@uva.nl>

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Package MVA updated to version 1.0-9 with previous version 1.0-8 dated 2022-03-18

Title: An Introduction to Applied Multivariate Analysis with R
Description: Functions, data sets, analyses and examples from the book `An Introduction to Applied Multivariate Analysis with R' (Brian S. Everitt and Torsten Hothorn, Springer, 2011).
Author: Brian S. Everitt [aut], Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package multiplex updated to version 3.9 with previous version 3.8-3 dated 2024-11-06

Title: Algebraic Tools for the Analysis of Multiple Social Networks
Description: Algebraic procedures for analyses of multiple social networks are delivered with this package as described in Ostoic (2020) <DOI:10.18637/jss.v092.i11>. 'multiplex' makes possible, among other things, to create and manipulate multiplex, multimode, and multilevel network data with different formats. Effective ways are available to treat multiple networks with routines that combine algebraic systems like the partially ordered semigroup with decomposition procedures or semiring structures with the relational bundles occurring in different types of multivariate networks. 'multiplex' provides also an algebraic approach for affiliation networks through Galois derivations between families of the pairs of subsets in the two domains of the network with visualization options.
Author: Antonio Rivero Ostoic [aut, cre]
Maintainer: Antonio Rivero Ostoic <multiplex@post.com>

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Package GeneralizedUmatrix updated to version 1.3.1 with previous version 1.2.6 dated 2023-05-30

Title: Credible Visualization for Two-Dimensional Projections of Data
Description: Projections are common dimensionality reduction methods, which represent high-dimensional data in a two-dimensional space. However, when restricting the output space to two dimensions, which results in a two dimensional scatter plot (projection) of the data, low dimensional similarities do not represent high dimensional distances coercively [Thrun, 2018] <DOI: 10.1007/978-3-658-20540-9>. This could lead to a misleading interpretation of the underlying structures [Thrun, 2018]. By means of the 3D topographic map the generalized Umatrix is able to depict errors of these two-dimensional scatter plots. The package is derived from the book of Thrun, M.C.: "Projection Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9> and the main algorithm called simplified self-organizing map for dimensionality reduction methods is published in <DOI: 10.1016/j.mex.2020.101093>.
Author: Michael Thrun [aut, cre, cph] , Felix Pape [ctb, ctr], Tim Schreier [ctb, ctr], Luis Winckelman [ctb, ctr], Quirin Stier [ctb, ctr] , Alfred Ultsch [ths]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Package party updated to version 1.3-18 with previous version 1.3-17 dated 2024-08-17

Title: A Laboratory for Recursive Partytioning
Description: A computational toolbox for recursive partitioning. The core of the package is ctree(), an implementation of conditional inference trees which embed tree-structured regression models into a well defined theory of conditional inference procedures. This non-parametric class of regression trees is applicable to all kinds of regression problems, including nominal, ordinal, numeric, censored as well as multivariate response variables and arbitrary measurement scales of the covariates. Based on conditional inference trees, cforest() provides an implementation of Breiman's random forests. The function mob() implements an algorithm for recursive partitioning based on parametric models (e.g. linear models, GLMs or survival regression) employing parameter instability tests for split selection. Extensible functionality for visualizing tree-structured regression models is available. The methods are described in Hothorn et al. (2006) <doi:10.1198/106186006X133933>, Zeileis et al. (2008) <d [...truncated...]
Author: Torsten Hothorn [aut, cre] , Kurt Hornik [aut] , Carolin Strobl [aut] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package vegan updated to version 2.6-10 with previous version 2.6-8 dated 2024-08-28

Title: Community Ecology Package
Description: Ordination methods, diversity analysis and other functions for community and vegetation ecologists.
Author: Jari Oksanen [aut, cre], Gavin L. Simpson [aut], F. Guillaume Blanchet [aut], Roeland Kindt [aut], Pierre Legendre [aut], Peter R. Minchin [aut], R.B. O'Hara [aut], Peter Solymos [aut], M. Henry H. Stevens [aut], Eduard Szoecs [aut], Helene Wagner [a [...truncated...]
Maintainer: Jari Oksanen <jhoksane@gmail.com>

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