Thu, 13 Nov 2025

Package testthat updated to version 3.3.0 with previous version 3.2.3 dated 2025-01-13

Title: Unit Testing for R
Description: Software testing is important, but, in part because it is frustrating and boring, many of us avoid it. 'testthat' is a testing framework for R that is easy to learn and use, and integrates with your existing 'workflow'.
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd], R Core team [ctb] )
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between testthat versions 3.2.3 dated 2025-01-13 and 3.3.0 dated 2025-11-13

 testthat-3.2.3/testthat/R/example.R                                                          |only
 testthat-3.2.3/testthat/R/expect-length.R                                                    |only
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Permanent link

Package gridify updated to version 0.7.5 with previous version 0.7.4 dated 2025-08-28

Title: Enrich Figures and Tables with Custom Headers and Footers and More
Description: A simple and flexible tool designed to create enriched figures and tables by providing a way to add text around them through predefined or custom layouts. Any input which is convertible to 'grob' is supported, like 'ggplot', 'gt' or 'flextable'. Based on R 'grid' graphics, for more details see Paul Murrell (2018) <doi:10.1201/9780429422768>.
Author: Maciej Nasinski [aut, cre], Alexandra Wall [aut], Sarah Robson [aut], Pritish Dash [aut], Jennifer Winick-Ng [aut], Lily Nan [ctb], Alphonse Kwizera [ctb], Agota Bodoni [ctb], Eilis Meldrum-Dolan [ctb], Gary Cao [ctb], UCB S.A., Belgium [cph, fnd]
Maintainer: Maciej Nasinski <Maciej.Nasinski@ucb.com>

Diff between gridify versions 0.7.4 dated 2025-08-28 and 0.7.5 dated 2025-11-13

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Permanent link

Package rgbif updated to version 3.8.4 with previous version 3.8.3 dated 2025-09-04

Title: Interface to the Global Biodiversity Information Facility API
Description: A programmatic interface to the Web Service methods provided by the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/developer/summary>). GBIF is a database of species occurrence records from sources all over the globe. rgbif includes functions for searching for taxonomic names, retrieving information on data providers, getting species occurrence records, getting counts of occurrence records, and using the GBIF tile map service to make rasters summarizing huge amounts of data.
Author: Scott Chamberlain [aut] , Damiano Oldoni [aut] , Vijay Barve [ctb] , Peter Desmet [ctb] , Laurens Geffert [ctb], Dan Mcglinn [ctb] , Karthik Ram [ctb] , rOpenSci [fnd] , John Waller [aut, cre]
Maintainer: John Waller <jwaller@gbif.org>

Diff between rgbif versions 3.8.3 dated 2025-09-04 and 3.8.4 dated 2025-11-13

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More information about rgbif at CRAN
Permanent link

Package CatPredi (with last version 1.4) was removed from CRAN

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

2025-10-30 1.4
2022-01-10 1.3

Permanent link
Package rstpm2 updated to version 1.7.1 with previous version 1.7.0 dated 2025-08-27

Title: Smooth Survival Models, Including Generalized Survival Models
Description: R implementation of generalized survival models (GSMs), smooth accelerated failure time (AFT) models and Markov multi-state models. For the GSMs, g(S(t|x))=eta(t,x) for a link function g, survival S at time t with covariates x and a linear predictor eta(t,x). The main assumption is that the time effect(s) are smooth <doi:10.1177/0962280216664760>. For fully parametric models with natural splines, this re-implements Stata's 'stpm2' function, which are flexible parametric survival models developed by Royston and colleagues. We have extended the parametric models to include any smooth parametric smoothers for time. We have also extended the model to include any smooth penalized smoothers from the 'mgcv' package, using penalized likelihood. These models include left truncation, right censoring, interval censoring, gamma frailties and normal random effects <doi:10.1002/sim.7451>, and copulas. For the smooth AFTs, S(t|x) = S_0(t*eta(t,x)), where the baseline survival function S_0 [...truncated...]
Author: Mark Clements [aut, cre], Xing-Rong Liu [aut], Benjamin Christoffersen [aut], Paul Lambert [ctb], Lasse Hjort Jakobsen [ctb], Alessandro Gasparini [ctb], Gordon Smyth [cph], Patrick Alken [cph], Simon Wood [cph], Rhys Ulerich [cph]
Maintainer: Mark Clements <mark.clements@ki.se>

Diff between rstpm2 versions 1.7.0 dated 2025-08-27 and 1.7.1 dated 2025-11-13

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Permanent link

Package learnr updated to version 0.11.6 with previous version 0.11.5 dated 2023-09-28

Title: Interactive Tutorials for R
Description: Create interactive tutorials using R Markdown. Use a combination of narrative, figures, videos, exercises, and quizzes to create self-paced tutorials for learning about R and R packages.
Author: Garrick Aden-Buie [aut, cre] , Barret Schloerke [aut] , JJ Allaire [aut, ccp], Alexander Rossell Hayes [aut] , Nischal Shrestha [ctb] , Angela Li [ctb] , Posit, PBC [cph, fnd], Ajax.org B.V. [ctb, cph] , Zeno Rocha [ctb, cph] , Nick Payne [ctb, cph] [...truncated...]
Maintainer: Garrick Aden-Buie <garrick@posit.co>

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Package bioacoustics updated to version 0.2.10 with previous version 0.2.8 dated 2022-02-08

Title: Analyse Audio Recordings and Automatically Extract Animal Vocalizations
Description: Contains all the necessary tools to process audio recordings of various formats (e.g., WAV, WAC, MP3, ZC), filter noisy files, display audio signals, detect and extract automatically acoustic features for further analysis such as classification.
Author: Jean Marchal [aut, cre], Francois Fabianek [aut], Christopher Scott [aut], Chris Corben [ctb, cph] , David Riggs [ctb, cph] , Peter Wilson [ctb, cph] , Wildlife Acoustics, inc. [ctb, cph] , Jordan Biserkov [ctb], WavX, inc. [cph]
Maintainer: Jean Marchal <jean.marchal@wavx.ca>

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Package BayesSIM updated to version 0.1.5 with previous version 0.1.4 dated 2025-10-30

Title: Integrated Interface of Bayesian Single Index Models using 'nimble'
Description: Provides tools for fitting Bayesian single index models with flexible choices of priors for both the index and the link function. The package implements model estimation and posterior inference using efficient MCMC algorithms built on the 'nimble' framework, allowing users to specify, extend, and simulate models in a unified and reproducible manner. The following methods are implemented in the package: Antoniadis et al. (2004) <https://www.jstor.org/stable/24307224>, Wang (2009) <doi:10.1016/j.csda.2008.12.010>, Choi et al. (2011) <doi:10.1080/10485251003768019>, Dhara et al. (2019) <doi:10.1214/19-BA1170>, McGee et al. (2023) <doi:10.1111/biom.13569>.
Author: Seowoo Jung [aut, cre], Eun-kyung Lee [aut]
Maintainer: Seowoo Jung <jsw1347@ewha.ac.kr>

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Wed, 12 Nov 2025

Package gerda updated to version 0.4.0 with previous version 0.3.0 dated 2025-10-29

Title: German Election Database (GERDA)
Description: Provides tools to download comprehensive datasets of local, state, and federal election results in Germany from 1990 to 2025. The package facilitates access to data on turnout, vote shares for major parties, and demographic information across different levels of government (municipal, state, and federal). It offers access to geographically harmonized datasets that account for changes in municipal boundaries over time and incorporate mail-in voting districts. Users can easily retrieve, clean, and standardize German electoral data, making it ready for analysis. Data is sourced from <https://github.com/awiedem/german_election_data>.
Author: Hanno Hilbig [aut, cre]
Maintainer: Hanno Hilbig <hhilbig@ucdavis.edu>

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Package xtdml updated to version 0.1.9 with previous version 0.1.8 dated 2025-11-06

Title: Double Machine Learning for Static Panel Models with Fixed Effects
Description: The 'xtdml' package implements partially linear panel regression (PLPR) models with high-dimensional confounding variables and an exogenous treatment variable within the double machine learning framework. The package is used to estimate the structural parameter (treatment effect) in static panel data models with fixed effects using the approaches established in Clarke and Polselli (2025) <doi:10.1093/ectj/utaf011>. 'xtdml' is built on the object-oriented package 'DoubleML' (Bach et al., 2024) <doi:10.18637/jss.v108.i03> using the 'mlr3' ecosystem.
Author: Annalivia Polselli [aut, cre]
Maintainer: Annalivia Polselli <apolselli.econ@gmail.com>

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Package scCustomize updated to version 3.2.2 with previous version 3.2.1 dated 2025-11-08

Title: Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing
Description: Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using 'R'. 'scCustomize' aims to provide 1) Customized visualizations for aid in ease of use and to create more aesthetic and functional visuals. 2) Improve speed/reproducibility of common tasks/pieces of code in scRNA-seq analysis with a single or group of functions. For citation please use: Marsh SE (2021) "Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing" <doi:10.5281/zenodo.5706430> RRID:SCR_024675.
Author: Samuel Marsh [aut, cre] , Ming Tang [ctb], Velina Kozareva [ctb], Lucas Graybuck [ctb], Zoe Clarke [ctb]
Maintainer: Samuel Marsh <sccustomize@gmail.com>

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Package multidplyr updated to version 0.1.4 with previous version 0.1.3 dated 2023-03-22

Title: A Multi-Process 'dplyr' Backend
Description: Partition a data frame across multiple worker processes to provide simple multicore parallelism.
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package DiceOptim readmission to version 2.1.2 with previous version 2.1.1 dated 2021-02-01

Title: Kriging-Based Optimization for Computer Experiments
Description: Efficient Global Optimization (EGO) algorithm as described in "Roustant et al. (2012)" <doi:10.18637/jss.v051.i01> and adaptations for problems with noise ("Picheny and Ginsbourger, 2012") <doi:10.1016/j.csda.2013.03.018>, parallel infill, and problems with constraints.
Author: Mickael Binois [cre, ctb], Victor Picheny [aut], David Ginsbourger [aut], Olivier Roustant [aut], Sebastien Marmin [ctb], Tobias Wagner [ctb]
Maintainer: Mickael Binois <mickael.binois@inria.fr>

This is a re-admission after prior archival of version 2.1.1 dated 2021-02-01

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Package datetoiso updated to version 1.0.0 with previous version 0.2.0 dated 2023-12-01

Title: Convert and Impute Dates to ISO Standard ("International Organization for Standardization")
Description: Provides functions to convert and impute date values to the ISO 8601 standard format. The package automatically recognizes date patterns within a data frame and transforms them into consistent ISO-formatted dates. It also supports imputing missing month or day components in partial date strings using user-defined rules. Only one date format can be applied within a single data frame column.
Author: Lukasz Andrzejewski [aut, cre]
Maintainer: Lukasz Andrzejewski <lukasz.coding@gmail.com>

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Package ConversationAlign updated to version 0.4.0 with previous version 0.3.2 dated 2025-07-30

Title: Process Text and Compute Linguistic Alignment in Conversation Transcripts
Description: Imports conversation transcripts into R, concatenates them into a single dataframe appending event identifiers, cleans and formats the text, then yokes user-specified psycholinguistic database values to each word. 'ConversationAlign' then computes alignment indices between two interlocutors across each transcript for >40 possible semantic, lexical, and affective dimensions. In addition to alignment, 'ConversationAlign' also produces a table of analytics (e.g., token count, type-token-ratio) in a summary table describing your particular text corpus.
Author: Jamie Reilly [aut, cre] , Virginia Ulichney [aut], Ben Sacks [aut], Sarah Weinstein [ctb], Chelsea Helion [ctb], Gus Cooney [ctb]
Maintainer: Jamie Reilly <jamie_reilly@temple.edu>

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Package cookiemonster updated to version 0.0.4 with previous version 0.0.3 dated 2023-11-30

Title: Your Friendly Solution to Managing Browser Cookies
Description: A convenient tool to store and format browser cookies and use them in 'HTTP' requests (for example, through 'httr2', 'httr' or 'curl').
Author: Johannes B. Gruber [aut, cre]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>

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Package kernelPhil readmission to version 0.2 with previous version 0.1 dated 2021-02-25

Title: Kernel Smoothing Tools for Philology and Historical Dialectology
Description: Contains kernel smoothing tools designed for use by historical dialectologists and philologists for exploring spatial and temporal patterns in noisy historical language data, such as that obtained from historical texts. The main way in which these might differ from other implementations of kernel smoothing is that they assume that the function (linguistic variable) being explored has the form of the relative frequency of a series of discrete possibilities (linguistic variants). This package also offers a way of exploring distributions in 2-dimensional space and in time with separate kernels, and tools for identifying appropriate bandwidths for these.
Author: Tamsin Blaxter [aut, cre]
Maintainer: Tamsin Blaxter <tamsinblaxter@gmail.com>

This is a re-admission after prior archival of version 0.1 dated 2021-02-25

Diff between kernelPhil versions 0.1 dated 2021-02-25 and 0.2 dated 2025-11-12

 DESCRIPTION                               |   20 +++----
 MD5                                       |   14 ++---
 NAMESPACE                                 |    1 
 R/1d.smooths.r                            |    6 +-
 R/2d.smooths.r                            |   79 ++++++++++++++++++++----------
 R/3d.smooths.r                            |    4 +
 R/bandwidths.r                            |   28 ++++++----
 man/calculate.bandwidths.by.resolution.Rd |    2 
 8 files changed, 96 insertions(+), 58 deletions(-)

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New package GraphRankTest with initial version 0.1
Package: GraphRankTest
Title: Rank in Similarity Graph Edge-Count Two-Sample Test (RISE)
Version: 0.1
Maintainer: Doudou Zhou <ddzhou@nus.edu.sg>
Description: Implements the Rank In Similarity Graph Edge-count two-sample test (RISE) for high-dimensional and non-Euclidean data. The method constructs similarity-based graphs, such as k-nearest neighbor graph (k-NNG), k-minimum spanning tree (k-MST), and k-minimum distance non-bipartite pairing (k-MDP), and evaluates rank-based within-sample edge counts with asymptotic and permutation p-values. For methodological details, see Zhou and Chen (2023) <https://proceedings.mlr.press/v195/zhou23a.html>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, ade4, nbpMatching
Suggests: testthat (>= 3.0.0), rmarkdown
URL: https://proceedings.mlr.press/v195/zhou23a.html
NeedsCompilation: no
Packaged: 2025-11-09 08:21:43 UTC; doudou
Author: Doudou Zhou [aut, cre] , Hao Chen [aut]
Repository: CRAN
Date/Publication: 2025-11-12 21:10:07 UTC

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New package FCUSUM with initial version 1.0.0
Package: FCUSUM
Title: Fourier CUSUM Cointegration Test
Version: 1.0.0
Description: Implements the Fourier cumulative sum (CUSUM) cointegration test for detecting cointegration relationships in time series data with structural breaks. The test uses Fourier approximations to capture smooth structural changes and CUSUM statistics to test for cointegration stability. Based on methodology described in Zaghdoudi (2025) <doi:10.46557/001c.144076>. The corrected Akaike Information Criterion (AICc) is used for optimal frequency selection.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
NeedsCompilation: no
Packaged: 2025-11-09 16:11:47 UTC; admin
Author: Taha Zaghdoudi [aut, cre]
Maintainer: Taha Zaghdoudi <zedtaha@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-12 21:10:11 UTC

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New package trendseries with initial version 1.1.0
Package: trendseries
Title: Extract Trends from Time Series
Version: 1.1.0
Description: Extract trends from monthly and quarterly economic time series. Provides two main functions: augment_trends() for pipe-friendly 'tibble' workflows and extract_trends() for direct time series analysis. Includes key econometric filters and modern parameter experimentation tools.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/viniciusoike/trendseries, https://viniciusoike.github.io/trendseries/
BugReports: https://github.com/viniciusoike/trendseries/issues
Imports: cli, dlm, glue, hpfilter, lubridate, mFilter, RcppRoll, stats, tibble, tsbox
Depends: R (>= 4.1.0)
Suggests: dplyr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), tidyr, xts
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-09 03:07:45 UTC; viniciusreginatto
Author: Vinicius Oike [aut, cre]
Maintainer: Vinicius Oike <viniciusoike@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-12 21:00:02 UTC

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

Title: Add Tests to Examples
Description: Add tests in-line in examples. Provides standalone functions for facilitating easier test writing in Rd files. However, a more familiar interface is provided using 'roxygen2' tags. Tools are also provided for facilitating package configuration and use with 'testthat'.
Author: Doug Kelkhoff [aut, cre]
Maintainer: Doug Kelkhoff <doug.kelkhoff@gmail.com>

Diff between testex versions 0.2.0 dated 2024-04-14 and 0.2.1 dated 2025-11-12

 DESCRIPTION                                 |    9 
 MD5                                         |   25 +-
 NEWS.md                                     |    7 
 R/testthat.R                                |   51 +++--
 build/vignette.rds                          |binary
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 inst/pkg.example/DESCRIPTION                |    2 
 inst/pkg.example/man/fn_roxygen_multiple.Rd |    2 
 man/test_files.Rd                           |    4 
 tests/testthat/setup.R                      |    6 
 tests/testthat/test-testex.R                |    8 
 tests/testthat/test-testthat.R              |    8 
 14 files changed, 298 insertions(+), 264 deletions(-)

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Package epizootic updated to version 2.0.0 with previous version 1.0.0 dated 2024-10-02

Title: Spatially Explicit Population Models of Disease Transmission in Wildlife
Description: This extension of the pattern-oriented modeling framework of the 'poems' package provides a collection of modules and functions customized for modeling disease transmission on a population scale in a spatiotemporally explicit manner. This includes seasonal time steps, dispersal functions that track disease state of dispersers, results objects that store disease states, and a population simulator that includes disease dynamics.
Author: July Pilowsky [aut, cre] , National Science Foundation Biology Integration Institute 2213854 [fnd]
Maintainer: July Pilowsky <pilowskyj@caryinstitute.org>

Diff between epizootic versions 1.0.0 dated 2024-10-02 and 2.0.0 dated 2025-11-12

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 epizootic-2.0.0/epizootic/DESCRIPTION                                      |   17 
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 epizootic-2.0.0/epizootic/NAMESPACE                                        |   13 
 epizootic-2.0.0/epizootic/NEWS.md                                          |   11 
 epizootic-2.0.0/epizootic/R/DiseaseModel.R                                 |  150 +-
 epizootic-2.0.0/epizootic/R/SimulationHandler.R                            |  351 ++++--
 epizootic-2.0.0/epizootic/R/check_simulator_inputs.R                       |  536 +++++-----
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 epizootic-2.0.0/epizootic/R/disease_simulator.R                            |  125 +-
 epizootic-2.0.0/epizootic/R/epizootic-package.R                            |    5 
 epizootic-2.0.0/epizootic/build/vignette.rds                               |binary
 epizootic-2.0.0/epizootic/inst/doc/mycoplasma.Rmd                          |  414 -------
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 epizootic-2.0.0/epizootic/man/SimulationHandler.Rd                         |    2 
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 epizootic-2.0.0/epizootic/tests/testthat/test-SimulationHandler.R          |  204 ++-
 epizootic-2.0.0/epizootic/tests/testthat/test-aspatial_siri_seasons.R      |  366 ++++++
 epizootic-2.0.0/epizootic/tests/testthat/test-disease_simulator.R          |  388 +++++++
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 epizootic-2.0.0/epizootic/vignettes/mycoplasma.Rmd                         |  414 -------
 25 files changed, 1693 insertions(+), 1871 deletions(-)

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Package DER updated to version 1.3 with previous version 1.2 dated 2025-11-05

Title: Income Polarization Index
Description: Extremely fast and memory efficient computation of the DER (or PaF) income polarization index as proposed by Duclos J. Y., Esteban, J. and Ray D. (2004). "Polarization: concepts, measurement, estimation". Econometrica, 72(6): 1737--1772. <doi:10.1111/j.1468-0262.2004.00552.x>. The index may be computed for a single or for a range of values of the alpha-parameter and bootstrapping is also available.
Author: Michail Tsagris [aut, cre], Christos Adam [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between DER versions 1.2 dated 2025-11-05 and 1.3 dated 2025-11-12

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 DER-1.3/DER/DESCRIPTION         |   16 +-
 DER-1.3/DER/MD5                 |   39 +++---
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 DER-1.3/DER/R/RcppExports.R     |   24 ++++
 DER-1.3/DER/R/paf.boot.R        |   20 ---
 DER-1.3/DER/R/paf2.boot.R       |   23 ---
 DER-1.3/DER/R/pafF.R            |   27 ----
 DER-1.3/DER/man/DER-package.Rd  |   16 ++
 DER-1.3/DER/man/colpafs.Rd      |   29 +++-
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 DER-1.3/DER/man/paf2.boot.Rd    |   30 +++--
 DER-1.3/DER/src/RcppExports.cpp |   88 ++++++++++++++-
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 25 files changed, 485 insertions(+), 191 deletions(-)

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New package deepspat with initial version 0.3.0
Package: deepspat
Title: Deep Compositional Spatial Models
Date: 2025-11-03
Version: 0.3.0
Maintainer: Quan Vu <quanvustats@gmail.com>
Description: Deep compositional spatial models are standard spatial covariance models coupled with an injective warping function of the spatial domain. The warping function is constructed through a composition of multiple elemental injective functions in a deep-learning framework. The package implements two cases for the univariate setting; first, when these warping functions are known up to some weights that need to be estimated, and, second, when the weights in each layer are random. In the multivariate setting only the former case is available. Estimation and inference is done using 'tensorflow', which makes use of graphics processing units. For more details see Zammit-Mangion et al. (2022) <doi:10.1080/01621459.2021.1887741>, Vu et al. (2022) <doi:10.5705/ss.202020.0156>, and Vu et al. (2023) <doi:10.1016/j.spasta.2023.100742>.
License: Apache License 2.0
Imports: data.table, dplyr, Matrix, methods, reticulate, keras, tensorflow, tfprobability, evd, SpatialExtremes, fields
SystemRequirements: TensorFlow (https://www.tensorflow.org/),
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-08 05:51:13 UTC; vudan
Author: Andrew Zammit-Mangion [aut], Quan Vu [aut, cre], Xuanjie Shao [aut]
Repository: CRAN
Date/Publication: 2025-11-12 21:00:08 UTC

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New package contoso with initial version 1.1.1
Package: contoso
Title: Dataset of the 'Contoso' Company
Version: 1.1.1
Description: A collection of synthetic datasets simulating sales transactions from a fictional company. The dataset includes various related tables that contain essential business and operational data, useful for analyzing sales performance and other business insights. Key tables included in the package are: - "sales": Contains data on individual sales transactions, including order details, pricing, quantities, and customer information. - "customer": Stores customer-specific details such as demographics, geographic location, occupation, and birthday. - "store": Provides information about stores, including location, size, status, and operational dates. - "orders": Contains details about customer orders, including order and delivery dates, store, and customer data. - "product": Contains data on products, including attributes such as product name, category, price, cost, and weight. - "date": A time-based table that includes date-related attributes like year, month, quarter, day, and working day indica [...truncated...]
License: MIT + file LICENSE
Imports: DBI, dplyr, cli, duckdb (>= 1.4.0)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
URL: https://usrbinr.github.io/contoso/, https://github.com/usrbinr/contoso
BugReports: https://github.com/usrbinr/contoso/issues
NeedsCompilation: no
Packaged: 2025-11-09 02:23:30 UTC; hagan
Author: Alejandro Hagan [aut, cre]
Maintainer: Alejandro Hagan <alejandro.hagan@outlook.com>
Repository: CRAN
Date/Publication: 2025-11-12 21:00:15 UTC

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Package saros.base updated to version 1.2.0 with previous version 1.1.0 dated 2025-06-01

Title: Base Tools for Semi-Automatic Reporting of Ordinary Surveys
Description: Scaffold an entire web-based report using template chunks, based on a small chapter overview and a dataset. Highly adaptable with prefixes, suffixes, translations, etc. Also contains tools for password-protecting, e.g. for each organization's report on a website. Developed for the common case of a survey across multiple organizations/sites where each organization wants to obtain results for their organization compared with everyone else. See 'saros' (<https://CRAN.R-project.org/package=saros>) for tools used for authors in the drafted reports.
Author: Stephan Daus [aut, cre, cph] , Nordic Institute for The Studies of Innovation, Research and Education [fnd], Kristiania University College [fnd]
Maintainer: Stephan Daus <stephus.daus@gmail.com>

Diff between saros.base versions 1.1.0 dated 2025-06-01 and 1.2.0 dated 2025-11-12

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 saros.base-1.2.0/saros.base/DESCRIPTION                                                            |   12 
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 saros.base-1.2.0/saros.base/NAMESPACE                                                              |    4 
 saros.base-1.2.0/saros.base/NEWS.md                                                                |  109 +
 saros.base-1.2.0/saros.base/R/add_core_info_to_chapter_structure.R                                 |  143 +-
 saros.base-1.2.0/saros.base/R/add_parsed_vars_to_chapter_structure.R                               |    8 
 saros.base-1.2.0/saros.base/R/arrange2.R                                                           |   39 
 saros.base-1.2.0/saros.base/R/attach_new_output_to_output.R                                        |   30 
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 saros.base-1.2.0/saros.base/R/copy.R                                                               |   26 
 saros.base-1.2.0/saros.base/R/create_directory_structure.R                                         |  432 +++---
 saros.base-1.2.0/saros.base/R/create_email_credentials.R                                           |   38 
 saros.base-1.2.0/saros.base/R/create_htaccess.R                                                    |   91 +
 saros.base-1.2.0/saros.base/R/create_r_files.R                                                     |    6 
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 saros.base-1.2.0/saros.base/R/draft_report.R                                                       |  687 +++++-----
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 saros.base-1.2.0/saros.base/R/gen_qmd_chapters.R                                                   |  318 ++--
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 saros.base-1.2.0/saros.base/R/initialize_saros_project.R                                           |    8 
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 saros.base-1.2.0/saros.base/R/validate_refine_chapter_overview_args.R                              |  182 +-
 saros.base-1.2.0/saros.base/R/zzz.R                                                                |  380 +++++
 saros.base-1.2.0/saros.base/build/vignette.rds                                                     |binary
 saros.base-1.2.0/saros.base/inst/WORDLIST                                                          |    6 
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 saros.base-1.2.0/saros.base/man/draft_report.Rd                                                    |    4 
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 89 files changed, 5301 insertions(+), 1941 deletions(-)

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Package crt2power updated to version 1.2.2 with previous version 1.2.1 dated 2025-05-07

Title: Designing Cluster-Randomized Trials with Two Continuous Co-Primary Outcomes
Description: Provides methods for powering cluster-randomized trials with two continuous co-primary outcomes using five key design techniques. Includes functions for calculating required sample size and statistical power. For more details on methodology, see Owen et al. (2025) <doi:10.1002/sim.70015>, Yang et al. (2022) <doi:10.1111/biom.13692>, Pocock et al. (1987) <doi:10.2307/2531989>, Vickerstaff et al. (2019) <doi:10.1186/s12874-019-0754-4>, and Li et al. (2020) <doi:10.1111/biom.13212>.
Author: Melody Owen [aut, cre]
Maintainer: Melody Owen <melody.owen@yale.edu>

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Package PxWebApiData updated to version 1.1.1 with previous version 1.1.0 dated 2025-10-08

Title: PX-Web Data by API
Description: Function to read PX-Web data into R via API. The example code reads data from the three national statistical institutes, Statistics Norway, Statistics Sweden and Statistics Finland.
Author: Oeyvind Langsrud [aut, cre], Jan Bruusgaard [aut], Solveig Bjoerkholt [ctb], Susie Jentoft [ctb]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

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Package phenology updated to version 2025.11.12 with previous version 10.3 dated 2025-06-17

Title: Tools to Manage a Parametric Function that Describes Phenology and More
Description: Functions used to fit and test the phenology of species based on counts. Based on Girondot, M. (2010) <doi:10.3354/esr00292> for the phenology function, Girondot, M. (2017) <doi:10.1016/j.ecolind.2017.05.063> for the convolution of negative binomial, Girondot, M. and Rizzo, A. (2015) <doi:10.2993/etbi-35-02-337-353.1> for Bayesian estimate, Pfaller JB, ..., Girondot M (2019) <doi:10.1007/s00227-019-3545-x> for tag-loss estimate, Hancock J, ..., Girondot M (2019) <doi:10.1016/j.ecolmodel.2019.04.013> for nesting history, Laloe J-O, ..., Girondot M, Hays GC (2020) <doi:10.1007/s00227-020-03686-x> for aggregating several seasons.
Author: Marc Girondot [aut, cre]
Maintainer: Marc Girondot <marc.girondot@gmail.com>

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Package DataSum updated to version 0.1.1 with previous version 0.1.0 dated 2024-08-28

Title: Comprehensive Data Summarization for Statistical Analysis
Description: Summarizes data frames by calculating various statistics including central tendency, dispersion, shape, and normality diagnostics. Handles numeric, character, and factor columns with NA-aware computations.
Author: Immad Ahmad Shah [aut], Uzair Javid Khan [aut, cre], Sukhdev Mishra [aut]
Maintainer: Uzair Javid Khan <uzairkhan11w@gmail.com>

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Package poems updated to version 1.4.0 with previous version 1.3.3 dated 2025-05-07

Title: Pattern-Oriented Ensemble Modeling System
Description: A framework of interoperable R6 classes (Chang, 2020, <https://CRAN.R-project.org/package=R6>) for building ensembles of viable models via the pattern-oriented modeling (POM) approach (Grimm et al.,2005, <doi:10.1126/science.1116681>). The package includes classes for encapsulating and generating model parameters, and managing the POM workflow. The workflow includes: model setup; generating model parameters via Latin hyper-cube sampling (Iman & Conover, 1980, <doi:10.1080/03610928008827996>); running multiple sampled model simulations; collating summary results; and validating and selecting an ensemble of models that best match known patterns. By default, model validation and selection utilizes an approximate Bayesian computation (ABC) approach (Beaumont et al., 2002, <doi:10.1093/genetics/162.4.2025>), although alternative user-defined functionality could be employed. The package includes a spatially explicit demographic population model simulation engine, [...truncated...]
Author: Sean Haythorne [aut], Damien Fordham [aut], Stuart Brown [aut] , Jessie Buettel [aut], Barry Brook [aut], July Pilowsky [aut, cre]
Maintainer: July Pilowsky <pilowskyj@caryinstitute.org>

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Package nonparaeff updated to version 0.5-15 with previous version 0.5-13 dated 2022-06-20

Title: Nonparametric Methods for Measuring Efficiency and Productivity
Description: Efficiency and productivity indices are measured using this package. This package contains functions for measuring efficiency and productivity of decision making units (DMUs) under the framework of Data Envelopment Analysis (DEA) and its variations.
Author: Dong-hyun Oh [aut, cre], Dukrok Suh [aut]
Maintainer: Dong-hyun Oh <oh.donghyun77@gmail.com>

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Package loon.shiny updated to version 1.0.4 with previous version 1.0.3 dated 2022-10-08

Title: Automatically Create a 'Shiny' App Based on Interactive 'Loon' Widgets
Description: Package 'shiny' provides interactive web applications in R. Package 'loon' is an interactive toolkit engaged in open-ended, creative and unscripted data exploration. The 'loon.shiny' package can take 'loon' widgets and display a selfsame 'shiny' app.
Author: Zehao Xu [aut, cre], R. Wayne Oldford [aut]
Maintainer: Zehao Xu <z267xu@gmail.com>

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Package hyper2 updated to version 3.2 with previous version 3.1-0 dated 2024-05-31

Title: The Hyperdirichlet Distribution, Mark 2
Description: A suite of routines for the hyperdirichlet distribution and reified Bradley-Terry; supersedes the 'hyperdirichlet' package; uses 'disordR' discipline <doi:10.48550/ARXIV.2210.03856>. To cite in publications please use Hankin 2017 <doi:10.32614/rj-2017-061>, and for Generalized Plackett-Luce likelihoods use Hankin 2024 <doi:10.18637/jss.v109.i08>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package gginnards updated to version 0.2.0-2 with previous version 0.2.0-1 dated 2024-11-13

Title: Explore the Innards of 'ggplot2' Objects
Description: Extensions to 'ggplot2' providing low-level debug tools: statistics and geometries echoing their data argument. Layer manipulation: deletion, insertion, extraction and reordering of layers. Deletion of unused variables from the data object embedded in "ggplot" objects.
Author: Pedro J. Aphalo [aut, cre]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package CFtime updated to version 1.7.2 with previous version 1.7.1 dated 2025-10-01

Title: Using CF-Compliant Calendars with Climate Projection Data
Description: Support for all calendars as specified in the Climate and Forecast (CF) Metadata Conventions for climate and forecasting data. The CF Metadata Conventions is widely used for distributing files with climate observations or projections, including the Coupled Model Intercomparison Project (CMIP) data used by climate change scientists and the Intergovernmental Panel on Climate Change (IPCC). This package specifically allows the user to work with any of the CF-compliant calendars (many of which are not compliant with POSIXt). The CF time coordinate is formally defined in the CF Metadata Conventions document available at <https://cfconventions.org/Data/cf-conventions/cf-conventions-1.12/cf-conventions.html#time-coordinate>.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

Diff between CFtime versions 1.7.1 dated 2025-10-01 and 1.7.2 dated 2025-11-12

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Package tgstat updated to version 2.3.29 with previous version 2.3.28 dated 2024-09-23

Title: Amos Tanay's Group High Performance Statistical Utilities
Description: A collection of high performance utilities to compute distance, correlation, auto correlation, clustering and other tasks. Contains graph clustering algorithm described in "MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions" (Yael Baran, Akhiad Bercovich, Arnau Sebe-Pedros, Yaniv Lubling, Amir Giladi, Elad Chomsky, Zohar Meir, Michael Hoichman, Aviezer Lifshitz & Amos Tanay, 2019 <doi:10.1186/s13059-019-1812-2>).
Author: Michael Hoichman [aut], Aviezer Lifshitz [aut, cre]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

Diff between tgstat versions 2.3.28 dated 2024-09-23 and 2.3.29 dated 2025-11-12

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Package GeRnika updated to version 1.2.0 with previous version 1.1.0 dated 2025-03-27

Title: Simulation, Visualization and Comparison of Tumor Evolution Data
Description: Simulating, visualizing and comparing tumor clonal data by using simple commands. This aims at providing a tool to help researchers to easily simulate tumor data and analyze the results of their approaches for studying the composition and the evolutionary history of tumors.
Author: Aitor Sanchez-Ferrera [cre, aut] , Maitena Tellaetxe-Abete [aut] , Borja Calvo [aut]
Maintainer: Aitor Sanchez-Ferrera <aitor.sanchezf@ehu.eus>

Diff between GeRnika versions 1.1.0 dated 2025-03-27 and 1.2.0 dated 2025-11-12

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Package geodl updated to version 0.3.0 with previous version 0.2.0 dated 2024-08-20

Title: Geospatial Semantic Segmentation with Torch and Terra
Description: Provides tools for semantic segmentation of geospatial data using convolutional neural network-based deep learning. Utility functions allow for creating masks, image chips, data frames listing image chips in a directory, and DataSets for use within DataLoaders. Additional functions are provided to serve as checks during the data preparation and training process. A UNet architecture can be defined with 4 blocks in the encoder, a bottleneck block, and 4 blocks in the decoder. The UNet can accept a variable number of input channels, and the user can define the number of feature maps produced in each encoder and decoder block and the bottleneck. Users can also choose to (1) replace all rectified linear unit (ReLU) activation functions with leaky ReLU or swish, (2) implement attention gates along the skip connections, (3) implement squeeze and excitation modules within the encoder blocks, (4) add residual connections within all blocks, (5) replace the bottleneck with a modified atrous spati [...truncated...]
Author: Aaron Maxwell [aut, cre, cph], Sarah Farhadpour [aut], Srinjoy Das [aut], Yalin Yang [aut]
Maintainer: Aaron Maxwell <Aaron.Maxwell@mail.wvu.edu>

Diff between geodl versions 0.2.0 dated 2024-08-20 and 0.3.0 dated 2025-11-12

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Package CohortGenerator updated to version 1.0.0 with previous version 0.12.2 dated 2025-09-11

Title: Cohort Generation for the OMOP Common Data Model
Description: Generate cohorts and subsets using an Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) Database. Cohorts are defined using 'CIRCE' (<https://github.com/ohdsi/circe-be>) or SQL compatible with 'SqlRender' (<https://github.com/OHDSI/SqlRender>).
Author: Anthony Sena [aut, cre], Jamie Gilbert [aut], Gowtham Rao [aut], Freddy Avila Cruz [aut], Martijn Schuemie [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Anthony Sena <sena@ohdsi.org>

Diff between CohortGenerator versions 0.12.2 dated 2025-09-11 and 1.0.0 dated 2025-11-12

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Permanent link

New package CircaCP with initial version 0.1.2
Package: CircaCP
Title: Sleep and Circadian Metrics Estimation from Actigraphy Data
Version: 0.1.2
Maintainer: Shanshan Chen <schen3@vcu.edu>
Description: A generic sleep–wake cycle detection algorithm for analyzing unlabeled actigraphy data. The algorithm has been validated against event markers using data from the Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study, and its methodological details are described in Chen and Sun (2024) <doi:10.1098/rsos.231468>. The package provides functions to estimate sleep metrics (e.g., sleep and wake onset times) and circadian rhythm metrics (e.g., mesor, phasor, interdaily stability, intradaily variability), as well as tools for screening actigraphy quality, fitting cosinor models, and performing parametric change point detection. The workflow can also be used to segment long actigraphy sequences into regularized structures for physical activity research.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: data.table, pracma, stats, tibble
Suggests: ggplot2, knitr, minpack.lm, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-11-08 20:12:09 UTC; schen3
Author: Shanshan Chen [aut, cre], Jonathon Jacobs [ctb]
Repository: CRAN
Date/Publication: 2025-11-12 11:10:02 UTC

More information about CircaCP at CRAN
Permanent link

Package stevedata updated to version 1.8.0 with previous version 1.7.0 dated 2025-09-17

Title: Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
Description: This is a collection of various kinds of data with broad uses for teaching. My students, and academics like me who teach the same topics I teach, should find this useful if their teaching workflow is also built around the R programming language. The applications are multiple but mostly cluster on topics of statistical methodology, international relations, and political economy.
Author: Steve Miller [aut, cre]
Maintainer: Steve Miller <steve@svmiller.com>

Diff between stevedata versions 1.7.0 dated 2025-09-17 and 1.8.0 dated 2025-11-12

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New package PhysioIndexR with initial version 0.1.0
Package: PhysioIndexR
Title: Physiological and Stress Indices for Crop Evaluation
Version: 0.1.0
Maintainer: Vinayaka <vinayaka.b3vs@gmail.com>
Description: Crop production systems are increasingly challenged by climate variability, resource limitations, and biotic–abiotic stresses. In this context, stress tolerance indices and physiological trait estimators are essential tools to identify stable and superior genotypes, quantify yield stability under stress versus non-stress conditions, and understand plant adaptive responses. The 'PhysioIndexR' package provides a unified framework to compute commonly used stress indices, physiological traits, and derived metrics that are critical in crop improvement, crop physiology, and other agricultural sciences. The package includes functions to calculate classical stress tolerance indices (See Lamba et al., 2023; <doi:10.1038/s41598-023-37634-8>) such as Tolerance (TOL), Stress Tolerance Index (STI), Stress Susceptibility Percentage Index (SSPI), Yield Index (YI), Yield Stability Index (YSI), Relative Stress Index (RSI), Mean Productivity (MP), Geometric Mean Productivity (GMP), Harmonic Mean ( [...truncated...]
Imports: stats
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1)
NeedsCompilation: no
Packaged: 2025-11-08 06:32:30 UTC; user
Author: Vinayaka [aut, cre] , Vengavasi Krishnapriya [aut, ctb] , T. Lakshmi Pathy [aut, ctb] , Amaresh [aut, ctb] , K. Gopalareddy [aut, ctb] , G.S. Suresha [aut, ctb] , P. Govindaraj [aut, ctb]
Repository: CRAN
Date/Publication: 2025-11-12 10:50:01 UTC

More information about PhysioIndexR at CRAN
Permanent link

Package meteospain updated to version 0.3.0 with previous version 0.2.2 dated 2025-10-01

Title: Access to Spanish Meteorological Stations Services
Description: Access to different Spanish meteorological stations data services and APIs (AEMET, SMC, MG, Meteoclimatic...).
Author: Victor Granda [aut, cre] , Miquel de Caceres [ctb] , Aitor Ameztegui [ctb] , Luis Franco [ctb], Ruben Fernandez-Casal [ctb]
Maintainer: Victor Granda <victorgrandagarcia@gmail.com>

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Package AssumpSure updated to version 1.1.3 with previous version 1.1.2 dated 2025-10-19

Title: 'shiny' Application for Statistical Test Assumption Checking and Guidance
Description: A 'shiny' application to assess statistical assumptions and guide users toward appropriate tests. The app is designed for researchers with minimal statistical training and provides diagnostics, plots, and test recommendations for a wide range of analyses. Many statistical assumptions are implemented using the package 'rstatix' (Kassambara, 2019) <doi:10.32614/CRAN.package.rstatix> and 'performance' (Lüdecke et al., 2021) <doi:10.21105/joss.03139>.
Author: Ahmed Bargheet [aut, cre]
Maintainer: Ahmed Bargheet <ahmed.bargheet@yahoo.com>

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Package statgenGxE updated to version 1.0.11 with previous version 1.0.10 dated 2025-06-24

Title: Genotype by Environment (GxE) Analysis
Description: Analysis of multi environment data of plant breeding experiments following the analyses described in Malosetti, Ribaut, and van Eeuwijk (2013), <doi:10.3389/fphys.2013.00044>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris. Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r/>).
Author: Bart-Jan van Rossum [aut, cre] , Fred van Eeuwijk [ctb] , Martin Boer [ctb] , Marcos Malosetti [ctb] , Daniela Bustos-Korts [ctb] , Emilie J Millet [ctb] , Joao Paulo [ctb] , Maikel Verouden [ctb] , Willem Kruijer [ctb] , Ron Wehrens [ctb] , Choazhi [...truncated...]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package rmake updated to version 1.2.1 with previous version 1.2.0 dated 2025-08-26

Title: Makefile Generator for R Analytical Projects
Description: Creates and maintains a build process for complex analytic tasks in R. Package allows to easily generate Makefile for the (GNU) 'make' tool, which drives the build process by (in parallel) executing build commands in order to update results accordingly to given dependencies on changed data or updated source files.
Author: Michal Burda [aut, cre]
Maintainer: Michal Burda <michal.burda@osu.cz>

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Package digest updated to version 0.6.38 with previous version 0.6.37 dated 2024-08-19

Title: Create Compact Hash Digests of R Objects
Description: Implementation of a function 'digest()' for the creation of hash digests of arbitrary R objects (using the 'md5', 'sha-1', 'sha-256', 'crc32', 'xxhash', 'murmurhash', 'spookyhash', 'blake3', 'crc32c', 'xxh3_64', and 'xxh3_128' algorithms) permitting easy comparison of R language objects, as well as functions such as 'hmac()' to create hash-based message authentication code. Please note that this package is not meant to be deployed for cryptographic purposes for which more comprehensive (and widely tested) libraries such as 'OpenSSL' should be used.
Author: Dirk Eddelbuettel [aut, cre] , Antoine Lucas [ctb] , Jarek Tuszynski [ctb], Henrik Bengtsson [ctb] , Simon Urbanek [ctb] , Mario Frasca [ctb], Bryan Lewis [ctb], Murray Stokely [ctb], Hannes Muehleisen [ctb] , Duncan Murdoch [ctb], Jim Hester [ctb] , [...truncated...]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package TransGraph updated to version 1.1.0 with previous version 1.0.0 dated 2023-10-19

Title: Transfer Graph Learning
Description: Transfer learning, aiming to use auxiliary domains to help improve learning of the target domain of interest when multiple heterogeneous datasets are available, has been a hot topic in statistical machine learning. The recent transfer learning methods with statistical guarantees mainly focus on the overall parameter transfer for supervised models in the ideal case with the informative auxiliary domains with overall similarity. In contrast, transfer learning for unsupervised graph learning is in its infancy and largely follows the idea of overall parameter transfer as for supervised learning. In this package, the transfer learning for several complex graphical models is implemented, including Tensor Gaussian graphical models, non-Gaussian directed acyclic graph (DAG), and Gaussian graphical mixture models. Notably, this package promotes local transfer at node-level and subgroup-level in DAG structural learning and Gaussian graphical mixture models, respectively, which are more flexible [...truncated...]
Author: Mingyang Ren [aut, cre] , Ruixuan Zhao [aut], Xin He [aut], Junhui Wang [aut]
Maintainer: Mingyang Ren <renmingyang17@mails.ucas.ac.cn>

Diff between TransGraph versions 1.0.0 dated 2023-10-19 and 1.1.0 dated 2025-11-12

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Package sspse updated to version 1.1.0-6 with previous version 1.1.0-4 dated 2025-11-06

Title: Estimating Hidden Population Size using Respondent Driven Sampling Data
Description: Estimate the size of a networked population based on respondent-driven sampling data. The package is part of the "RDS Analyst" suite of packages for the analysis of respondent-driven sampling data. See Handcock, Gile and Mar (2014) <doi:10.1214/14-EJS923>, Handcock, Gile and Mar (2015) <doi:10.1111/biom.12255>, Kim and Handcock (2021) <doi:10.1093/jssam/smz055>, and McLaughlin, et. al. (2023) <doi:10.1214/23-AOAS1807>.
Author: Mark S. Handcock [aut, cre, cph] , Krista J. Gile [aut, cph], Brian Kim [ctb], Katherine R. McLaughlin [ctb]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>

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Package r2resize updated to version 2.0 with previous version 1.9.2 dated 2024-11-25

Title: In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Description: Offers a suite of tools designed to enhance the responsiveness and interactivity of web-based documents and applications created with R. It provides an automatic, configurable resizing toolbar that can be seamlessly integrated with HTML elements such as containers, images, and tables, allowing end-users to dynamically adjust their dimensions. Beyond the toolbar, the package includes a rich collection of flexible, expandable, and interactive container functionalities, such as highly customizable split-screen layouts (splitCard), versatile sizeable cards (sizeableCard), dynamic window-like elements (windowCard), visually engaging emphasis cards (empahsisCard), and sophisticated flexible and elastic card layouts (flexCard, elastiCard). Furthermore, it offers an elegant image viewer and resizer (shinyExpandImage) perfect for interactive galleries. r2resize is particularly well-suited for developers and data scientists looking to create modern, responsive, and user-friendly 'shiny' applicat [...truncated...]
Author: Obinna Obianom [aut, cre]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

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Package MMGFM updated to version 1.2.1 with previous version 1.2.0 dated 2025-07-29

Title: Multi-Study Multi-Modality Generalized Factor Model
Description: We introduce a generalized factor model designed to jointly analyze high-dimensional multi-modality data from multiple studies by extracting study-shared and specified factors. Our factor models account for heterogeneous noises and overdispersion among modality variables with augmented covariates. We propose an efficient and speedy variational estimation procedure for estimating model parameters, along with a novel criterion for selecting the optimal number of factors. More details can be referred to Liu et al. (2025) <doi:10.48550/arXiv.2507.09889>.
Author: Wei Liu [aut, cre], Qingzhi Zhong [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>

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Package lolliplot (with last version 0.2.2) was removed from CRAN

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

2023-01-26 0.2.2

Permanent link
Package treestats updated to version 1.70.8 with previous version 1.70.7 dated 2025-09-11

Title: Phylogenetic Tree Statistics
Description: Collection of phylogenetic tree statistics, collected throughout the literature. All functions have been written to maximize computation speed. The package includes umbrella functions to calculate all statistics, all balance associated statistics, or all branching time related statistics. Furthermore, the 'treestats' package supports summary statistic calculations on Ltables, provides speed-improved coding of branching times, Ltable conversion and includes algorithms to create intermediately balanced trees. Full description can be found in Janzen (2024) <doi:10.1016/j.ympev.2024.108168>.
Author: Thijs Janzen [cre, aut]
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>

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Package reshape2 updated to version 1.4.5 with previous version 1.4.4 dated 2020-04-09

Title: Flexibly Reshape Data: A Reboot of the Reshape Package
Description: Flexibly restructure and aggregate data using just two functions: melt and 'dcast' (or 'acast').
Author: Hadley Wickham [aut, cre]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package NPCirc updated to version 3.1.2 with previous version 3.1.1 dated 2022-11-10

Title: Nonparametric Circular Methods
Description: Nonparametric smoothing methods for density and regression estimation involving circular data, including the estimation of the mean regression function and other conditional characteristics.
Author: Maria Alonso-Pena [aut, cre], Maria Oliveira [aut], Jose Ameijeiras-Alonso [aut], Rosa M. Crujeiras [aut], Irene Gijbels [aut], Alberto Rodriguez-Casal [aut], Felicita Scapini [dtc]
Maintainer: Maria Alonso-Pena <mariaalonso.pena@usc.es>

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Package mlt updated to version 1.7-2 with previous version 1.7-1 dated 2025-10-31

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>

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Tue, 11 Nov 2025

Package glcm updated to version 1.6.6 with previous version 1.6.5 dated 2020-02-26

Title: Calculate Textures from Grey-Level Co-Occurrence Matrices (GLCMs)
Description: Enables calculation of image textures (Haralick 1973) <doi:10.1109/TSMC.1973.4309314> from grey-level co-occurrence matrices (GLCMs). Supports processing images that cannot fit in memory.
Author: Alex Zvoleff [aut, cre]
Maintainer: Alex Zvoleff <azvoleff@conservation.org>

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Package shinymrp updated to version 0.9.1 with previous version 0.9.0 dated 2025-10-09

Title: Interface for Multilevel Regression and Poststratification
Description: Dual interfaces, graphical and programmatic, designed for intuitive applications of Multilevel Regression and Poststratification (MRP). Users can apply the method to a variety of datasets, from electronic health records to sample survey data, through an end-to-end Bayesian data analysis workflow. The package provides robust tools for data cleaning, exploratory analysis, flexible model building, and insightful result visualization. For more details, see Si et al. (2020) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2020002/article/00003-eng.pdf?st=iF1_Fbrh> and Si (2025) <doi:10.1214/24-STS932>.
Author: Toan Tran [cre, aut, cph], Jonah Gabry [aut, cph], Yajuan Si [aut, cph]
Maintainer: Toan Tran <trannttoan97@gmail.com>

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Package micer updated to version 0.2.1 with previous version 0.2.0 dated 2025-01-20

Title: Map Image Classification Efficacy
Description: Map image classification efficacy (MICE) adjusts the accuracy rate relative to a random classification baseline (Shao et al. (2021)<doi:10.1109/ACCESS.2021.3116526> and Tang et al. (2024)<doi:10.1109/TGRS.2024.3446950>). Only the proportions from the reference labels are considered, as opposed to the proportions from the reference and predictions, as is the case for the Kappa statistic. This package offers means to calculate MICE and adjusted versions of class-level user's accuracy (i.e., precision) and producer's accuracy (i.e., recall) and F1-scores. Class-level metrics are aggregated using macro-averaging. Functions are also made available to estimate confidence intervals using bootstrapping and statistically compare two classification results.
Author: Aaron Maxwell [aut, cre, cph], Sarah Farhadpour [aut]
Maintainer: Aaron Maxwell <Aaron.Maxwell@mail.wvu.edu>

Diff between micer versions 0.2.0 dated 2025-01-20 and 0.2.1 dated 2025-11-11

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Package FSinR updated to version 2.0.10 with previous version 2.0.9 dated 2025-10-23

Title: Feature Selection in R
Description: Feature subset selection algorithms modularized in search algorithms and measure utilities.
Author: Alfonso Jimenez-Vilchez [aut, cre] , Francisco Aragon-Royon [aut] , Adan M. Rodriguez [aut], Antonio Arauzo-Azofra [aut] , Jose Manuel Benitez [aut]
Maintainer: Alfonso Jimenez-Vilchez <i52jivia@uco.es>

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Package COMIX updated to version 1.0.1 with previous version 1.0.0 dated 2022-11-23

Title: Coarsened Mixtures of Hierarchical Skew Kernels
Description: Bayesian fit of a Dirichlet Process Mixture with hierarchical multivariate skew normal kernels and coarsened posteriors. For more information, see Gorsky, Chan and Ma (2024) <doi:10.1214/22-BA1356>.
Author: S. Gorsky [aut, cre], C. Chan [ctb], L. Ma [ctb]
Maintainer: S. Gorsky <sgorsky@umass.edu>

Diff between COMIX versions 1.0.0 dated 2022-11-23 and 1.0.1 dated 2025-11-11

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Package acro updated to version 0.1.6 with previous version 0.1.5 dated 2025-07-03

Title: A Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs
Description: A Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs.
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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New package ReliaShiny with initial version 0.4
Package: ReliaShiny
Title: A 'Shiny' App for Reliability Analysis
Version: 0.4
Description: An interactive web application for reliability analysis using the 'shiny' <https://shiny.posit.co/> framework. The app provides an easy-to-use interface for performing reliability analysis using 'WeibullR' <https://cran.r-project.org/package=WeibullR> and 'ReliaGrowR' <https://cran.r-project.org/package=ReliaGrowR>.
License: CC BY 4.0
Imports: magrittr, ReliaGrowR, ReliaPlotR, WeibullR, shiny, shinydashboard, shinyWidgets
Encoding: UTF-8
URL: https://paulgovan.github.io/ReliaShiny/, https://github.com/paulgovan/ReliaShiny
BugReports: https://github.com/paulgovan/ReliaShiny/issues
Suggests: knitr, rmarkdown, shinytest2, testthat (>= 3.0.0), WeibullR.learnr
NeedsCompilation: no
Packaged: 2025-11-07 14:43:32 UTC; paulgovan
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 22:10:02 UTC

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Package promor readmission to version 0.2.2 with previous version 0.2.1 dated 2023-07-17

Title: Proteomics Data Analysis and Modeling Tools
Description: A comprehensive, user-friendly package for label-free proteomics data analysis and machine learning-based modeling. Data generated from 'MaxQuant' can be easily used to conduct differential expression analysis, build predictive models with top protein candidates, and assess model performance. promor includes a suite of tools for quality control, visualization, missing data imputation (Lazar et. al. (2016) <doi:10.1021/acs.jproteome.5b00981>), differential expression analysis (Ritchie et. al. (2015) <doi:10.1093/nar/gkv007>), and machine learning-based modeling (Kuhn (2008) <doi:10.18637/jss.v028.i05>).
Author: Chathurani Ranathunge [aut, cre, cph]
Maintainer: Chathurani Ranathunge <caranathunge86@gmail.com>

This is a re-admission after prior archival of version 0.2.1 dated 2023-07-17

Diff between promor versions 0.2.1 dated 2023-07-17 and 0.2.2 dated 2025-11-11

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Package naryn updated to version 2.6.31 with previous version 2.6.30 dated 2024-09-27

Title: Native Access Medical Record Retriever for High Yield Analytics
Description: A toolkit for medical records data analysis. The 'naryn' package implements an efficient data structure for storing medical records, and provides a set of functions for data extraction, manipulation and analysis.
Author: Misha Hoichman [aut], Aviezer Lifshitz [aut, cre], Ben Gilat [aut], Netta Mendelson-Cohen [ctb], Rami Jaschek [ctb], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

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Package MLwrap updated to version 0.2.3 with previous version 0.2.2 dated 2025-11-05

Title: Machine Learning Modelling for Everyone
Description: A minimal library specifically designed to make the estimation of Machine Learning (ML) techniques as easy and accessible as possible, particularly within the framework of the Knowledge Discovery in Databases (KDD) process in data mining. The package provides essential tools to structure and execute each stage of a predictive or classification modeling workflow, aligning closely with the fundamental steps of the KDD methodology, from data selection and preparation, through model building and tuning, to the interpretation and evaluation of results using Sensitivity Analysis. The 'MLwrap' workflow is organized into four core steps; preprocessing(), build_model(), fine_tuning(), and sensitivity_analysis(). These steps correspond, respectively, to data preparation and transformation, model construction, hyperparameter optimization, and sensitivity analysis. The user can access comprehensive model evaluation results including fit assessment metrics, plots, predictions, and performance diagn [...truncated...]
Author: Javier Martinez Garcia [aut] , Juan Jose Montano Moreno [ctb] , Albert Sese [cre, ctb]
Maintainer: Albert Sese <albert.sese@uib.es>

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Package CopernicusMarine updated to version 0.3.6 with previous version 0.3.5 dated 2025-11-07

Title: Search Download and Handle Data from Copernicus Marine Service Information
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

Diff between CopernicusMarine versions 0.3.5 dated 2025-11-07 and 0.3.6 dated 2025-11-11

 DESCRIPTION                  |   14 +++++++-------
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 man/cms_translate.Rd         |    2 +-
 man/cms_wmts.Rd              |    2 +-
 tests/testthat.R             |    1 -
 tests/testthat/test_subset.r |    1 +
 vignettes/translate.Rmd      |    6 ++++--
 17 files changed, 56 insertions(+), 61 deletions(-)

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New package wstdiff with initial version 1.0.0
Package: wstdiff
Version: 1.0.0
Title: Welch-Satterthwaite Approximation for t-Distribution Differences
Description: Implements the Welch-Satterthwaite approximation for differences of non-standardized t-distributed random variables in both univariate and multivariate settings. The package provides methods for computing effective degrees of freedom and scale parameters, as well as distribution functions for the approximated difference distribution. The methodology extends the classical Welch-Satterthwaite framework from variance combinations to t-distribution differences through careful moment matching. Methods build on the classical Welch-Satterthwaite approach described in Welch (1947) <doi:10.1093/biomet/34.1-2.28> and Satterthwaite (1946) <doi:10.2307/3002019>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), mvtnorm, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-06 20:47:04 UTC; API18340
Author: Yusuke Yamaguchi [aut, cre]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 21:40:02 UTC

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New package vws with initial version 0.3.0
Package: vws
Title: Vertical Weighted Strips
Version: 0.3.0
Maintainer: Andrew M. Raim <andrew.raim@gmail.com>
Description: A reference implementation of the Vertical Weighted Strips method explored by Raim, Livsey, and Irimata (2025) <doi:10.48550/arXiv.2401.09696> for rejection sampling.
URL: https://github.com/andrewraim/vws
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp, fntl
LinkingTo: Rcpp, fntl
Suggests: knitr, rmarkdown, quarto, statmod, tidyverse
VignetteBuilder: quarto
NeedsCompilation: yes
Packaged: 2025-11-06 15:34:48 UTC; araim
Author: Andrew M. Raim [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-11 21:20:02 UTC

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New package tidysynthesis with initial version 0.1.2
Package: tidysynthesis
Title: A Common API for Synthesizing Data
Version: 0.1.2
Maintainer: Aaron R. Williams <awilliams@urban.org>
Description: A system built on 'tidymodels' for generating synthetic tabular data. We provide tools for ordering a sequential synthesis, feature and target engineering, sampling, hyperparameter tuning, enforcing constraints, and adding extra noise during a synthesis.
URL: https://ui-research.github.io/tidysynthesis-documentation/
BugReports: https://github.com/UrbanInstitute/tidysynthesis/issues
Depends: R (>= 4.1.0)
Imports: dplyr, forcats, parsnip, pillar, purrr, progressr, recipes, rlang, rsample, stringr, tibble, tidyr (>= 1.0.0), tune, vctrs, workflows, yardstick, ExtDist, dapper
Suggests: hardhat, palmerpenguins, poissonreg, randomForest, ranger, rpart, rpart.LAD (>= 0.1.2), testthat (>= 2.1.0), usethis, VGAM
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-06 15:30:08 UTC; aaronwilliams
Author: Aaron R. Williams [aut, cre] , Kyle Ueyama [aut], Gabe Morrison [aut] , Jeremy Seeman [aut] , Elyse McFalls [ctb], Claire Morton [ctb], Livia Mucciolo [ctb], Madeline Pickens [ctb], Noah Zwiefel [ctb], The Urban Institute [cph]
Repository: CRAN
Date/Publication: 2025-11-11 21:20:07 UTC

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New package sdstudio with initial version 0.1.3
Package: sdstudio
Title: Companion Application for the 'surveydown' Survey Platform
Version: 0.1.3
Author: Pingfan Hu [aut, cre, cph] , John Paul Helveston [aut, cph] , Bogdan Bunea [aut, cph]
Maintainer: Pingfan Hu <pingfan0727@gmail.com>
Description: Companion package that supports the 'surveydown' survey platform (<https://surveydown.org>). The default method for working with a 'surveydown' survey is to edit the plain text 'survey.qmd' and 'app.R' files. With 'sdstudio', you can create, preview and manage surveys with a 'shiny' application as a graphical user interface.
License: MIT + file LICENSE
URL: https://sdstudio.surveydown.org
BugReports: https://github.com/surveydown-dev/sdstudio/issues
Depends: R (>= 4.1.0)
Imports: bslib, DBI, dotenv, DT, htmltools, later, pool, RPostgres, shiny, shinyAce, surveydown
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-06 23:05:29 UTC; pingfan
Repository: CRAN
Date/Publication: 2025-11-11 21:40:07 UTC

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New package powerprior with initial version 1.0.0
Package: powerprior
Version: 1.0.0
Title: Conjugate Power Priors for Bayesian Analysis of Normal Data
Description: Implements conjugate power priors for efficient Bayesian analysis of normal data. Power priors allow principled incorporation of historical information while controlling the degree of borrowing through a discounting parameter (Ibrahim and Chen (2000) <doi:10.1214/ss/1009212519>). This package provides closed-form conjugate representations for both univariate and multivariate normal data using Normal-Inverse-Chi-squared and Normal-Inverse-Wishart distributions, eliminating the need for MCMC sampling. The conjugate framework builds upon standard Bayesian methods described in Gelman et al. (2013, ISBN:978-1439840955).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, MASS, LaplacesDemon, ggplot2, shiny, shinydashboard, shinyjs, DT, dplyr, tidyr, rlang
Suggests: testthat (>= 3.0.0), rmarkdown
NeedsCompilation: no
Packaged: 2025-11-06 20:48:42 UTC; API18340
Author: Yusuke Yamaguchi [aut, cre], Yifei Huang [aut]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 21:40:13 UTC

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New package OmicsPrepR with initial version 0.1.1
Package: OmicsPrepR
Title: Unified Preprocessing Toolkit for Proteomics and Metabolomics
Version: 0.1.1
Maintainer: Isaac Osei <ikemillar65@gmail.com>
Description: Provides unified workflows for quality control, normalization, and visualization of proteomic and metabolomic data. The package simplifies preprocessing through automated imputation, scaling, and principal component analysis (PCA)-based exploratory analysis, enabling researchers to prepare omics datasets efficiently for downstream statistical and machine learning analyses.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, stats, utils
Suggests: testthat (>= 3.0.0)
URL: https://github.com/ikemillar/OmicsPrepR
BugReports: https://github.com/ikemillar/OmicsPrepR/issues
NeedsCompilation: no
Packaged: 2025-11-06 19:13:18 UTC; isaacosei
Author: Isaac Osei [aut, cre], Dennis Opoku Boadu [aut], Chettupally Anil Carie [aut]
Repository: CRAN
Date/Publication: 2025-11-11 21:30:08 UTC

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New package MRStdCRT with initial version 0.1.1
Package: MRStdCRT
Title: Model-Robust Standardization in Cluster-Randomized Trials
Version: 0.1.1
Description: Implements model-robust standardization for cluster-randomized trials (CRTs). Provides functions that standardize user-specified regression models to estimate marginal treatment effects. The targets include the cluster-average and individual-average treatment effects, with utilities for variance estimation and example simulation datasets. Methods are described in Li, Tong, Fang, Cheng, Kahan, and Wang (2025) <doi:10.1002/sim.70270>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: dplyr (>= 1.0.0), geepack (>= 1.3-2), lme4 (>= 1.1-25), nlme (>= 3.1-150), magrittr (>= 2.0.0), rlang (>= 1.0.0), stats
VignetteBuilder: knitr
URL: https://github.com/deckardt98/MRStdCRT
BugReports: https://github.com/deckardt98/MRStdCRT/issues
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-11-07 00:42:23 UTC; HP
Author: Jiaqi Tong [aut], Changjun Li [aut, cre], Xi Fang [aut], Chao Cheng [aut], Bingkai Wang [aut], Fan Li [aut]
Maintainer: Changjun Li <changjun.li@yale.edu>
Repository: CRAN
Date/Publication: 2025-11-11 21:40:18 UTC

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New package ggincerta with initial version 0.1.0
Package: ggincerta
Title: Extend 'ggplot2' with Layers and Scales for Spatial Uncertainty Visualization
Version: 0.1.0
Description: Provide specialized 'ggplot2' layers and scales for spatial uncertainty visualization, including bivariate choropleth maps, pixel maps, glyph maps, and exceedance probability maps.
Imports: dplyr, grDevices, grid, gtable, rlang, scales, sf, stats, withr
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), vdiffr
Depends: ggplot2 (>= 3.5.0), R (>= 4.1.0)
LazyData: true
URL: https://github.com/maggiexma/ggincerta
BugReports: https://github.com/maggiexma/ggincerta/issues
NeedsCompilation: no
Packaged: 2025-11-07 13:13:56 UTC; maxueqi
Author: Xueqi Ma [aut, cre, cph], Emi Tanaka [aut, ths] , Weihao Li [ths], Quan Vu [ths], Francis Hui [ths]
Maintainer: Xueqi Ma <maggiexma07@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 22:00:02 UTC

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New package examly with initial version 0.1.1
Package: examly
Title: Statistical Metrics and Reporting Tool
Version: 0.1.1
Description: A 'Shiny'-based toolkit for item/test analysis. It is designed for multiple-choice, true-false, and open-ended questions. The toolkit is usable with datasets in 1-0 or other formats. Key analyses include difficulty, discrimination, response-option analysis, reports. The classical test theory methods used are described in Ebel & Frisbie (1991, ISBN:978-0132892314).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: shiny, dplyr, tidyr, purrr, stringr, readr, readxl, officer, flextable, glue, magrittr, jsonlite, tibble, htmltools
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling, psychometric
VignetteBuilder: knitr
URL: https://github.com/ahmetcaliskan1987/examly
BugReports: https://github.com/ahmetcaliskan1987/examly/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-11-06 19:35:12 UTC; ahmetcaliskan
Author: Ahmet Caliskan [aut, cre], Abdullah Faruk Kilic [aut]
Maintainer: Ahmet Caliskan <ahmetcaliskan1987@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 21:30:02 UTC

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New package bigPLScox with initial version 0.6.0
Package: bigPLScox
Version: 0.6.0
Date: 2025-11-01
Depends: R (>= 4.0.0)
Imports: bigmemory, bigalgebra, bigSurvSGD, caret, doParallel, foreach, kernlab, methods, Rcpp, risksetROC, rms, sgPLS, survAUC, survcomp, survival
LinkingTo: BH, Rcpp, RcppArmadillo, bigmemory
Suggests: bench, knitr, plsRcox, mvtnorm, readr, rmarkdown, testthat (>= 3.0.0)
Title: Partial Least Squares for Cox Models with Big Matrices
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models for big data. Provides a Partial Least Squares (PLS) algorithm adapted to Cox proportional hazards models that works with 'bigmemory' matrices without loading the entire dataset in memory. Also implements a gradient-descent based solver for Cox proportional hazards models that works directly on 'bigmemory' matrices. Bertrand and Maumy (2023) <https://hal.science/hal-05352069>, and <https://hal.science/hal-05352061> highlighted fitting and cross-validating PLS-based Cox models to censored big data.
License: GPL-3
Encoding: UTF-8
URL: https://fbertran.github.io/bigPLScox/, https://github.com/fbertran/bigPLScox/
BugReports: https://github.com/fbertran/bigPLScox/issues/
Classification/MSC: 62N01, 62N02, 62N03, 62N99
VignetteBuilder: knitr
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2025-11-06 16:20:26 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-11-11 21:20:15 UTC

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New package baserater with initial version 0.1.1
Package: baserater
Title: Base-Rate Item Evaluation and Typicality Scoring Using Large Language Models
Version: 0.1.1
Description: Download typicality rating datasets, generate new stereotype-based typicality ratings using large language models via the Inference Providers API (<https://huggingface.co/docs/inference-providers>), and evaluate them against human-annotated validation data. Also includes functions to extract stereotype strength and base-rate items from typicality matrices. For more details see Beucler et al. (2025) <doi:10.31234/osf.io/eqrfu_v1>.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: cli, dplyr, glue, readr, tibble, tidyr, httr2
Suggests: devtools, knitr, rmarkdown, tidyverse
VignetteBuilder: knitr
URL: https://jeremie-beucler.github.io/baserater/
NeedsCompilation: no
Packaged: 2025-11-07 12:50:49 UTC; lapsyde_user
Author: Jeremie Beucler [aut, cre]
Maintainer: Jeremie Beucler <jeremie.beucler@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 21:50:02 UTC

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Package G2Sd updated to version 2.2 with previous version 2.1.5 dated 2015-12-07

Title: Grain-Size Statistics and Description of Sediment
Description: Full descriptive statistics, physical description of sediment, metric or phi sieves. Includes a Shiny web application for interactive grain size analysis and visualization.
Author: Regis K. Gallon [aut, cre] , Jerome Fournier [aut]
Maintainer: Regis K. Gallon <regis.gallon@lecnam.net>

Diff between G2Sd versions 2.1.5 dated 2015-12-07 and 2.2 dated 2025-11-11

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Package DAGassist updated to version 0.2.7 with previous version 0.2.4 dated 2025-09-21

Title: Test Robustness with Directed Acyclic Graphs
Description: Provides robustness checks to align estimands with the identification that they require. Given a 'dagitty' object and a model specification, 'DAGassist' classifies variables by causal roles, flags problematic controls, and generates a report comparing the original model with minimal and canonical adjustment sets. Exports publication-grade reports in 'LaTeX', 'Word', 'Excel', 'dotwhisker', or plain text/'markdown'. 'DAGassist' is built on 'dagitty', an 'R' package that uses the 'DAGitty' web tool (<https://dagitty.net/>) for creating and analyzing DAGs. Methods draw on Pearl (2009) <doi:10.1017/CBO9780511803161> and Textor et al. (2016) <doi:10.1093/ije/dyw341>.
Author: Graham Goff [aut, cre] , Michael Denly [aut]
Maintainer: Graham Goff <goffgrahamc@gmail.com>

Diff between DAGassist versions 0.2.4 dated 2025-09-21 and 0.2.7 dated 2025-11-11

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Package bimets updated to version 4.1.2 with previous version 4.1.1 dated 2025-10-30

Title: Time Series and Econometric Modeling
Description: Time series analysis, (dis)aggregation and manipulation, e.g. time series extension, merge, projection, lag, lead, delta, moving and cumulative average and product, selection by index, date and year-period, conversion to daily, monthly, quarterly, (semi)annually. Simultaneous equation models definition, estimation, simulation and forecasting with coefficient restrictions, error autocorrelation, exogenization, add-factors, impact and interim multipliers analysis, conditional equation evaluation, rational expectations, endogenous targeting and model renormalization, structural stability, stochastic simulation and forecast, optimal control, by A. Luciani (2022) <doi:10.13140/RG.2.2.31160.83202>.
Author: Andrea Luciani [aut, cre] , Roberto Stok [aut], Bank of Italy [cph]
Maintainer: Andrea Luciani <andrea.luciani@bancaditalia.it>

Diff between bimets versions 4.1.1 dated 2025-10-30 and 4.1.2 dated 2025-11-11

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Package BayesChange updated to version 2.1.3 with previous version 2.1.2 dated 2025-11-05

Title: Bayesian Methods for Change Points Analysis
Description: Perform change points detection on univariate and multivariate time series according to the methods presented by Asael Fabian Martínez and Ramsés H. Mena (2014) <doi:10.1214/14-BA878> and Corradin, Danese and Ongaro (2022) <doi:10.1016/j.ijar.2021.12.019>. It also clusters different types of time dependent data with common change points, see "Model-based clustering of time-dependent observations with common structural changes" (Corradin,Danese,KhudaBukhsh and Ongaro, 2024) <doi:10.48550/arXiv.2410.09552> for details.
Author: Luca Danese [aut, cre, cph] , Riccardo Corradin [aut], Andrea Ongaro [aut]
Maintainer: Luca Danese <l.danese1@campus.unimib.it>

Diff between BayesChange versions 2.1.2 dated 2025-11-05 and 2.1.3 dated 2025-11-11

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Package trajmsm updated to version 0.1.5 with previous version 0.1.4 dated 2025-06-16

Title: Marginal Structural Models with Latent Class Growth Analysis of Treatment Trajectories
Description: Implements marginal structural models combined with a latent class growth analysis framework for assessing the causal effect of treatment trajectories. Based on the approach described in "Marginal Structural Models with Latent Class Growth Analysis of Treatment Trajectories" Diop, A., Sirois, C., Guertin, J.R., Schnitzer, M.E., Candas, B., Cossette, B., Poirier, P., Brophy, J., Mésidor, M., Blais, C. and Hamel, D., (2023) <doi:10.1177/09622802231202384>.
Author: Awa Diop [aut, cre], Denis Talbot [aut]
Maintainer: Awa Diop <awa.diop.2@ulaval.ca>

Diff between trajmsm versions 0.1.4 dated 2025-06-16 and 0.1.5 dated 2025-11-11

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Package slendr updated to version 1.3.0 with previous version 1.2.0 dated 2025-07-31

Title: A Simulation Framework for Spatiotemporal Population Genetics
Description: A framework for simulating spatially explicit genomic data which leverages real cartographic information for programmatic and visual encoding of spatiotemporal population dynamics on real geographic landscapes. Population genetic models are then automatically executed by the 'SLiM' software by Haller et al. (2019) <doi:10.1093/molbev/msy228> behind the scenes, using a custom built-in simulation 'SLiM' script. Additionally, fully abstract spatial models not tied to a specific geographic location are supported, and users can also simulate data from standard, non-spatial, random-mating models. These can be simulated either with the 'SLiM' built-in back-end script, or using an efficient coalescent population genetics simulator 'msprime' by Baumdicker et al. (2022) <doi:10.1093/genetics/iyab229> with a custom-built 'Python' script bundled with the R package. Simulated genomic data is saved in a tree-sequence format and can be loaded, manipulated, and summarised using tree-sequen [...truncated...]
Author: Martin Petr [aut, cre]
Maintainer: Martin Petr <contact@bodkan.net>

Diff between slendr versions 1.2.0 dated 2025-07-31 and 1.3.0 dated 2025-11-11

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Package quanteda.textplots updated to version 0.96.1 with previous version 0.96 dated 2025-09-03

Title: Plots for the Quantitative Analysis of Textual Data
Description: Plotting functions for visualising textual data. Extends 'quanteda' and related packages with plot methods designed specifically for text data, textual statistics, and models fit to textual data. Plot types include word clouds, lexical dispersion plots, scaling plots, network visualisations, and word 'keyness' plots.
Author: Kenneth Benoit [cre, aut, cph] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Adam Obeng [aut] , Stefan Mueller [aut] , Akitaka Matsuo [aut] , Ian Fellows [cph] ), European Research Council [fnd]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package cvdprevent updated to version 0.2.4 with previous version 0.2.3 dated 2025-11-05

Title: Access and Analyse Data from the 'CVD Prevent' API
Description: Provides an R interface to the 'CVD Prevent' application programming interface (API), allowing users to retrieve and analyse cardiovascular disease prevention data from primary care records across England. The Cardiovascular Disease Prevention Audit (CVDPREVENT) automatically extracts routinely held GP health data to support national reporting and improvement initiatives. See the API documentation for details: <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>

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Package contingencytables updated to version 3.1.0 with previous version 3.0.1 dated 2024-08-29

Title: Statistical Analysis of Contingency Tables
Description: Provides functions to perform statistical inference of data organized in contingency tables. This package is a companion to the "Statistical Analysis of Contingency Tables" book by Fagerland et al. <ISBN 9781466588172>.
Author: Morten Wang Fagerland [aut], Stian Lydersen [ctb], Petter Laake [ctb], Waldir Leoncio [cre], Ole Christian Lingjaerde [trl], Brad J. Biggerstaff [ctb]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>

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Package pcIRT (with last version 0.2.4) was removed from CRAN

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

2019-07-15 0.2.4
2018-04-30 0.2.3
2016-04-29 0.2.2
2015-07-17 0.2
2014-01-12 0.1

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Package pwr4exp updated to version 1.0.1 with previous version 1.0.0 dated 2025-03-17

Title: Power Analysis for Research Experiments
Description: Provides tools for calculating statistical power for experiments analyzed using linear mixed models. It supports standard designs, including randomized block, split-plot, and Latin Square designs, while offering flexibility to accommodate a variety of other complex study designs.
Author: Kai Wang [aut, cre, cph] , Mutian Niu [aut, cph]
Maintainer: Kai Wang <kai.wang@usys.ethz.ch>

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Package myTAI updated to version 2.3.4 with previous version 2.3.3 dated 2025-11-07

Title: Evolutionary Transcriptomics
Description: Investigate the evolution of biological processes by capturing evolutionary signatures in transcriptomes (Drost et al. (2018) <doi:10.1093/bioinformatics/btx835>). This package aims to provide a transcriptome analysis environment to quantify the average evolutionary age of genes contributing to a transcriptome of interest.
Author: Hajk-Georg Drost [aut, cre] , Stefan Manolache [aut, ctb] , Jaruwatana Sodai Lotharukpong [aut, ctb] , Nikola Kalabova [aut, ctb] , Filipa Martins Costa [aut, ctb], Kristian K Ullrich [aut, ctb]
Maintainer: Hajk-Georg Drost <hajk-georg.drost@tuebingen.mpg.de>

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Package FORTLS updated to version 1.6.1 with previous version 1.6.0 dated 2025-07-29

Title: Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes
Description: Process automation of point cloud data derived from terrestrial-based technologies such as Terrestrial Laser Scanner (TLS) or Mobile Laser Scanner. 'FORTLS' enables (i) detection of trees and estimation of tree-level attributes (e.g. diameters and heights), (ii) estimation of stand-level variables (e.g. density, basal area, mean and dominant height), (iii) computation of metrics related to important forest attributes estimated in Forest Inventories at stand-level, and (iv) optimization of plot design for combining TLS data and field measured data. Documentation about 'FORTLS' is described in Molina-Valero et al. (2022, <doi:10.1016/j.envsoft.2022.105337>).
Author: Juan Alberto Molina-Valero [aut, cph, cre], Adela Martinez-Calvo [aut, com], Maria Jose Ginzo Villamayor [aut, com], Juan Gabriel Alvarez-Gonzalez [aut, ths], Fernando Montes [aut], Cesar Perez-Cruzado [aut, ths]
Maintainer: Juan Alberto Molina-Valero <jamolinavalero@gmail.com>

Diff between FORTLS versions 1.6.0 dated 2025-07-29 and 1.6.1 dated 2025-11-11

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Package MAFLD updated to version 4.0.0 with previous version 3.0.0 dated 2025-09-14

Title: Diagnosis of Metabolic Dysfunction Associated Fatty Liver Disease
Description: The latest guidelines proposed by International Expert Consensus are used for the clinical diagnosis of Metabolic Associated Fatty Liver Disease (MAFLD). The new definition takes hepatic steatosis (determined by elastography or histology or biomarker-based fatty liver index) as a major criterion. In addition, race, gender, body mass index (BMI), waist circumference (WC), fasting plasma glucose (FPG), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), high-density lipoprotein cholesterol (HDLC), homeostatic model assessment of insulin resistance (HOMAIR), high sensitive c-reactive protein (HsCRP) for the diagnosis of MAFLD. Each parameter has to be interpreted based on the proposed cut-offs, making the diagnosis slightly complex and error-prone. This package is developed by incorporating the latest international expert consensus guidelines, and it will aid in the easy and quick diagnosis of MAFLD based on FibroScan in busy healthcare settings and also for [...truncated...]
Author: Jagadish Ramasamy [aut, cre]
Maintainer: Jagadish Ramasamy <iamjagankmr@gmail.com>

Diff between MAFLD versions 3.0.0 dated 2025-09-14 and 4.0.0 dated 2025-11-11

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New package LEdecomp with initial version 1.0.4
Package: LEdecomp
Title: Decompose Life Expectancy by Age (and Cause)
Version: 1.0.4
Date: 2025-11-06
Description: A set of all-cause and cause-specific life expectancy sensitivity and decomposition methods, including Arriaga (1984) <doi:10.2307/2061029>, others documented by Ponnapalli (2005) <doi:10.4054/DemRes.2005.12.7>, lifetable, numerical, and other algorithmic approaches such as Horiuchi et al (2008) <doi:10.1353/dem.0.0033>, or Andreev et al (2002) <doi:10.4054/DemRes.2002.7.14>.
License: GPL-3
LazyLoad: yes
LazyData: true
Imports: numDeriv, Rdpack, DemoDecomp, data.table, ggplot2
Depends: R (>= 4.3)
BugReports: https://github.com/timriffe/LEdecomp/issues
Encoding: UTF-8
URL: https://github.com/timriffe/LEdecomp
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-06 15:27:01 UTC; tim
Author: Tim Riffe [aut, cre] , David Atance [aut] , Josep Lledo [aut]
Maintainer: Tim Riffe <tim.riffe@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 10:10:02 UTC

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New package SelectBoost.beta with initial version 0.4.5
Package: SelectBoost.beta
Title: Stability-Selection via Correlated Resampling for Beta-Regression Models
Version: 0.4.5
Date: 2025-11-04
Depends: R (>= 4.0)
Imports: betareg, gamlss, gamlss.dist, glmnet, MASS, Rcpp, rlang, stats, withr
Suggests: future, future.apply, gamlss.lasso, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
Author: Frederic Bertrand [cre, aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Adds variable-selection functions for Beta regression models (both mean and phi submodels) so they can be used within the 'SelectBoost' algorithm. Includes stepwise AIC, BIC, and corrected AIC on betareg() fits, 'gamlss'-based LASSO/Elastic-Net, a pure 'glmnet' iterative re-weighted least squares-based selector with an optional standardization speedup, and 'C++' helpers for iterative re-weighted least squares working steps and precision updates. Also provides a fastboost_interval() variant for interval responses, comparison helpers, and a flexible simulator simulation_DATA.beta() for interval-valued data. For more details see Bertrand and Maumy (2023) <doi:10.7490/f1000research.1119552.1>.
License: GPL-3
Encoding: UTF-8
Classification/MSC: 62H11, 62J12, 62J99
VignetteBuilder: knitr
URL: https://fbertran.github.io/SelectBoost.beta/, https://github.com/fbertran/SelectBoost.beta/
BugReports: https://github.com/fbertran/SelectBoost.beta/issues/
NeedsCompilation: yes
Packaged: 2025-11-04 09:49:20 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-11-11 09:20:09 UTC

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Package quollr updated to version 1.0.1 with previous version 0.3.13 dated 2025-09-23

Title: Visualising How Nonlinear Dimension Reduction Warps Your Data
Description: To construct a model in 2-D space from 2-D nonlinear dimension reduction data and then lift it to the high-dimensional space. Additionally, provides tools to visualise the model overlay the data in 2-D and high-dimensional space. Furthermore, provides summaries and diagnostics to evaluate the nonlinear dimension reduction layout.
Author: Jayani P. Gamage [aut, cre] , Dianne Cook [aut] , Paul Harrison [aut] , Michael Lydeamore [aut] , Thiyanga S. Talagala [aut]
Maintainer: Jayani P. Gamage <jayanilakshika76@gmail.com>

Diff between quollr versions 0.3.13 dated 2025-09-23 and 1.0.1 dated 2025-11-11

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Package quadform updated to version 0.0-4 with previous version 0.0-2 dated 2024-05-14

Title: Efficient Evaluation of Quadratic Forms
Description: A range of quadratic forms are evaluated, using efficient methods. Unnecessary transposes are not performed. Complex values are handled consistently.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between quadform versions 0.0-2 dated 2024-05-14 and 0.0-4 dated 2025-11-11

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New package ONAM with initial version 1.0.0
Package: ONAM
Title: Fitting Interpretable Neural Additive Models Using Orthogonalization
Version: 1.0.0
Description: An algorithm for fitting interpretable additive neural networks for identifiable and visualizable feature effects using post hoc orthogonalization. Fit custom neural networks intuitively using established 'R' 'formula' notation, including interaction effects of arbitrary order while preserving identifiability to enable a functional decomposition of the prediction function. For more details see Koehler et al. (2025) <doi:10.1038/s44387-025-00033-7>.
License: MIT + file LICENSE
BugReports: https://github.com/Koehlibert/ONAM_R/issues
Depends: keras3, reticulate
Imports: dplyr, scales, rlang, ggplot2, pROC
Suggests: akima, RColorBrewer, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-06 09:07:04 UTC; koehler
Author: David Koehler [aut, cre]
Maintainer: David Koehler <koehler@imbie.uni-bonn.de>
Repository: CRAN
Date/Publication: 2025-11-11 09:50:18 UTC

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Package multilevelcoda readmission to version 1.3.3 with previous version 1.3.2 dated 2025-05-25

Title: Estimate Bayesian Multilevel Models for Compositional Data
Description: Implement Bayesian multilevel modelling for compositional data. Compute multilevel compositional data and perform log-ratio transforms at between and within-person levels, fit Bayesian multilevel models for compositional predictors and outcomes, and run post-hoc analyses such as isotemporal substitution models. References: Le, Stanford, Dumuid, and Wiley (2025) <doi:10.1037/met0000750>, Le, Dumuid, Stanford, and Wiley (2025) <doi:10.1080/00273171.2025.2565598>.
Author: Flora Le [aut, cre] , Joshua F. Wiley [aut]
Maintainer: Flora Le <floralebui@gmail.com>

This is a re-admission after prior archival of version 1.3.2 dated 2025-05-25

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 multilevelcoda-1.3.3/multilevelcoda/tests/testthat/test-wsub.R            |  100 
 multilevelcoda-1.3.3/multilevelcoda/tests/testthat/test-wsubmargins.R     |   48 
 multilevelcoda-1.3.3/multilevelcoda/vignettes/B-composition-MLM.Rmd       |   60 
 multilevelcoda-1.3.3/multilevelcoda/vignettes/B-composition-MLM.Rmd.orig  |   30 
 multilevelcoda-1.3.3/multilevelcoda/vignettes/C-composition-MMLM.Rmd      |   62 
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New package ISCAM with initial version 1.0.0
Package: ISCAM
Title: Companion to the Book "Investigating Statistical Concepts, Applications, and Methods"
Version: 1.0.0
Description: Introductory statistics methods to accompany "Investigating Statistical Concepts, Applications, and Methods" (ISCAM) by Beth Chance & Allan Rossman (2024) <https://rossmanchance.com/iscam4/>. Tools to introduce statistical concepts with a focus on simulation approaches. Functions are verbose, designed to provide ample output for students to understand what each function does. Additionally, most functions are accompanied with plots. The package is designed to be used in an educational setting alongside the ISCAM textbook.
License: MIT + file LICENSE
URL: https://iscam4.github.io/ISCAM/, https://github.com/ISCAM4/ISCAM
BugReports: https://github.com/ISCAM4/ISCAM/issues
Depends: R (>= 3.5)
Imports: graphics, stats
Suggests: testthat (>= 3.0.0), usethis, vdiffr (>= 1.0.8)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-23 17:19:28 UTC; visru
Author: Beth Chance [cre, aut, cph], Visruth Srimath Kandali [aut]
Maintainer: Beth Chance <bchance@calpoly.edu>
Repository: CRAN
Date/Publication: 2025-11-11 09:20:16 UTC

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New package healthiar with initial version 0.2.1
Package: healthiar
Title: Quantify and Monetize the Burden of Disease Attributable to Exposure
Version: 0.2.1
Description: This R package has been developed with a focus on air pollution and noise but can applied to other exposures. The initial development has been funded by the European Union project BEST-COST. Disclaimer: It is work in progress and the developers are not liable for any calculation errors or inaccuracies resulting from the use of this package. References (in chronological order): WHO (2003a) "Assessing the environmental burden of disease at national and local levels" <https://www.who.int/publications/i/item/9241546204> (accessed October 2025); WHO (2003b) "Comparative quantification of health risks: Conceptual framework and methodological issues" <doi:10.1186/1478-7954-1-1> (accessed October 2025); Miller & Hurley (2003) "Life table methods for quantitative impact assessments in chronic mortality" <doi:10.1136/jech.57.3.200> (accessed October 2025); Steenland & Armstrong (2006) "An Overview of Methods for Calculating the Burden of Disease Due to Specific Risk Fac [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, purrr, tibble, tidyr
Depends: R (>= 4.2.0)
LazyData: true
VignetteBuilder: knitr
Suggests: sf, terra, testthat, devtools, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-11-06 12:44:41 UTC; castal
Author: Alberto Castro [cre, aut] , Axel Luyten [aut] , Arno Pauwels [ctb] , Liliana Vazquez Fernandez [ctb] , Vanessa Gorasso [ctb] , Carl Michael Baravelli [ctb] , Susanne Breitner [ctb] , Maria Lepnurm [ctb] , Maria Jose Rueda Lopez [ctb] , Iracy Pimenta [...truncated...]
Maintainer: Alberto Castro <alberto.castrofernandez@swisstph.ch>
Repository: CRAN
Date/Publication: 2025-11-11 10:00:09 UTC

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New package fwtraits with initial version 1.0.0
Package: fwtraits
Title: Extract Species Ecological Parameters from Www.freshwaterecology.info
Version: 1.0.0
Description: Support the extraction and seamless integration of species ecological traits or preferences from the www.freshwaterecology.info into several ecological model workflows. During data extraction, different taxonomic levels are acceptable, including species, genus, and family, based on the availability of data in the database. The data is cached after the first search and can be accessed during and after online interactions. Only scientific names are acceptable in the search; local or English names are not allowed. A user API key is required to start using the package.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/AnthonyBasooma/fwtraits, https://anthonybasooma.github.io/fwtraits/, https://github.com/AnthonyBasooma/fwtraits/releases/tag/V1.0.0
BugReports: https://github.com/AnthonyBasooma/fwtraits/issues
Depends: R (>= 4.1.0)
Imports: curl, httr2, jsonlite, methods, utils, rstudioapi, R.cache
Suggests: ggplot2, knitr (>= 1.48), rmarkdown (>= 2.28), sf, vcr, dplyr, tidytext, testthat (>= 3.0.0), FD, tidyr, tibble, stats, cluster
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-06 14:53:10 UTC; anthbasooma
Author: Anthony Basooma [aut, cre] , Florian Borgwardt [ctb, fnd] , Thomas Hein [ctb, fnd, ths] , Sami Domisch [ctb], Merret Buurman [ctb], Vanessa Bremerich [ctb], Sonia Steffany Recinos Brizuela [ctb], Martin Tschikof [ctb], Astrid Schmidt-Kloiber [ctb, fn [...truncated...]
Maintainer: Anthony Basooma <anthony.basooma@boku.ac.at>
Repository: CRAN
Date/Publication: 2025-11-11 10:00:16 UTC

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New package fioRa with initial version 0.3.4
Package: fioRa
Title: Mass-Spectra Prediction Using the FIORA Model
Version: 0.3.4
Date: 2025-11-03
Description: Provides a wrapper for the python module 'FIORA' as well as a 'shiny'-App to facilitate data processing and visualization. 'FIORA' allows to predict Mass-Spectra based on the SMILES code of chemical compounds. It is described in the Nature Communications article by Nowatzky (2025) <doi:10.1038/s41467-025-57422-4>.
License: MIT + file LICENSE
Imports: bslib, config, golem, InterpretMSSpectrum, rcdk, shiny, shinyjs, waiter
Encoding: UTF-8
URL: https://github.com/janlisec/fioRa
BugReports: https://github.com/janlisec/fioRa/issues
Suggests: reticulate, spelling, testthat (>= 3.0.0)
Language: en-US
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-06 10:12:22 UTC; jlisec
Author: Jan Lisec [aut, cre]
Maintainer: Jan Lisec <jan.lisec@bam.de>
Repository: CRAN
Date/Publication: 2025-11-11 09:50:08 UTC

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New package eve with initial version 1.0
Package: eve
Version: 1.0
Date: 2025-10-20
Title: The Eigenvalues Entropy as a Classifier Evaluation Measure
Author: Doulaye Dembele [aut, cre]
Maintainer: Doulaye Dembele <doulaye@igbmc.fr>
Depends: R (>= 4.0),
Description: The confusion matrix (CM) is used to get a classifier's evaluation measure in order to select a method among many. A stochastic matrix and its transformation are computed from the CM. The eigenvalues of the transformed symmetric matrix are used to get an entropy which appears to be a good evaluation measure. Many other measures, commonly used, are provided for comparison purpose.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-11-06 09:15:14 UTC; doulaye
Repository: CRAN
Date/Publication: 2025-11-11 09:50:13 UTC

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New package DIVINE with initial version 0.1.0
Package: DIVINE
Title: Curated Datasets and Tools for Epidemiological Data Analysis
Version: 0.1.0
Maintainer: Natalia Pallares <npallares@igtp.cat>
Description: Curated datasets and intuitive data management functions to streamline epidemiological data workflows. It is designed to support researchers in quickly accessing clean, structured data and applying essential cleaning, summarizing, visualization, and export operations with minimal effort. Whether you're preparing a cohort for analysis or creating reports, 'DIVINE' makes the process more efficient, transparent, and reproducible.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://bruigtp.github.io/DIVINE/
BugReports: https://github.com/bruigtp/DIVINE/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 4.1)
LazyData: true
Imports: dplyr, fmsb, ggplot2, gtsummary, haven, openxlsx, plotly, purrr, rlang, scales, stringr, tibble, tidyselect
NeedsCompilation: no
Packaged: 2025-11-06 13:23:26 UTC; jcarmezim
Author: Natalia Pallares [aut, cre], Joao Carmezim [aut], Pau Satorra [aut], Lucia Blanc [aut], Cristian Tebe [aut]
Repository: CRAN
Date/Publication: 2025-11-11 10:00:21 UTC

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New package Capsule with initial version 0.2.0
Package: Capsule
Title: Comprehensive Reproducibility Framework for R and Bioinformatics Analysis
Version: 0.2.0
Description: A comprehensive reproducibility framework designed for R and bioinformatics workflows. Automatically captures the entire analysis environment including R session info, package versions, external tool versions ('Samtools', 'STAR', 'BWA', etc.), 'conda' environments, reference genomes, data provenance with smart checksumming for large files, parameter choices, random seeds, and hardware specifications. Generates executable scripts with 'Docker', 'Singularity', and 'renv' configurations. Integrates with workflow managers ('Nextflow', 'Snakemake', 'WDL', 'CWL') to ensure complete reproducibility of computational research workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: renv, jsonlite, digest, yaml, cli, utils
Suggests: testthat (>= 3.0.0)
BugReports: https://github.com/SAADAT-Abu/Capsule/issues
NeedsCompilation: no
Packaged: 2025-11-06 13:18:57 UTC; saadat
Author: Abu SAADAT [aut, cre]
Maintainer: Abu SAADAT <saadatabu1996@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 10:00:29 UTC

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Package hdf5lib (with last version 1.14.6.4) was removed from CRAN

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

2025-11-10 1.14.6.4

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Package rfriend updated to version 2.0.0 with previous version 1.0.0 dated 2025-07-16

Title: Provides Batch Functions and Visualisation for Basic Statistical Procedures
Description: Designed to streamline data analysis and statistical testing, reducing the length of R scripts while generating well-formatted outputs in 'pdf', 'Microsoft Word', and 'Microsoft Excel' formats. In essence, the package contains functions which are sophisticated wrappers around existing R functions that are called by using 'f_' (user f_riendly) prefix followed by the normal function name. This first version of the 'rfriend' package focuses primarily on data exploration, including tools for creating summary tables, f_summary(), performing data transformations, f_boxcox() in part based on 'MASS/boxcox' and 'rcompanion', and f_bestNormalize() which wraps and extends functionality from the 'bestNormalize' package. Furthermore, 'rfriend' can automatically (or on request) generate visualizations such as boxplots, f_boxplot(), QQ-plots, f_qqnorm(), histograms f_hist(), and density plots. Additionally, the package includes four statistical test functions: f_aov(), f_kruskal_test(), f_glm(), f_c [...truncated...]
Author: Sander H. van Delden [aut, cre]
Maintainer: Sander H. van Delden <plantmind@proton.me>

Diff between rfriend versions 1.0.0 dated 2025-07-16 and 2.0.0 dated 2025-11-11

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Package ProTrackR2 updated to version 0.1.0 with previous version 0.0.5 dated 2024-11-09

Title: Manipulate and Play 'ProTracker' Modules
Description: 'ProTracker' is a popular music tracker to sequence music on a Commodore Amiga machine. This package offers the opportunity to import, export, manipulate and play 'ProTracker' module files. Even though the file format could be considered archaic, it still remains popular to this date. This package intends to contribute to this popularity and therewith keeping the legacy of 'ProTracker' and the Commodore Amiga alive. This package is the successor of 'ProTrackR' providing better performance.
Author: Pepijn de Vries [aut, cre] , Olav Soerensen [aut]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

Diff between ProTrackR2 versions 0.0.5 dated 2024-11-09 and 0.1.0 dated 2025-11-11

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 src/pt2-clone/pt2_sampler.c             |  566 ++++++++++----------
 src/pt2-clone/smploaders/pt2_load_wav.c |    9 
 src/pt_cell.cpp                         |  329 +-----------
 src/pt_cell.h                           |    5 
 src/pt_cleanup.cpp                      |    2 
 src/pt_init.cpp                         |    3 
 src/samp_io.cpp                         |   44 -
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Package phyr updated to version 1.1.3 with previous version 1.1.0 dated 2020-12-18

Title: Model Based Phylogenetic Analysis
Description: A collection of functions to do model-based phylogenetic analysis. It includes functions to calculate community phylogenetic diversity, to estimate correlations among functional traits while accounting for phylogenetic relationships, and to fit phylogenetic generalized linear mixed models. The Bayesian phylogenetic generalized linear mixed models are fitted with the 'INLA' package (<https://www.r-inla.org>).
Author: Anthony Ives [aut], Russell Dinnage [aut] , Lucas A. Nell [aut] , Matthew Helmus [aut], Daijiang Li [aut, cre]
Maintainer: Daijiang Li <daijianglee@gmail.com>

Diff between phyr versions 1.1.0 dated 2020-12-18 and 1.1.3 dated 2025-11-11

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Package healthyAddress updated to version 0.5.1 with previous version 0.4.5 dated 2025-01-08

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

Diff between healthyAddress versions 0.4.5 dated 2025-01-08 and 0.5.1 dated 2025-11-11

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 NEWS.md                                                  |    4 
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 R/download_latlon_data.R                                 |  142 +++++++--------
 R/fillPostcodeStreets.R                                  |   63 +++---
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 11 files changed, 179 insertions(+), 173 deletions(-)

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Package gprofiler2 updated to version 0.2.4 with previous version 0.2.3 dated 2024-02-23

Title: Interface to the 'g:Profiler' Toolset
Description: A toolset for functional enrichment analysis and visualization, gene/protein/SNP identifier conversion and mapping orthologous genes across species via 'g:Profiler' (<https://biit.cs.ut.ee/gprofiler/>). The main tools are: (1) 'g:GOSt' - functional enrichment analysis and visualization of gene lists; (2) 'g:Convert' - gene/protein/transcript identifier conversion across various namespaces; (3) 'g:Orth' - orthology search across species; (4) 'g:SNPense' - mapping SNP rs identifiers to chromosome positions, genes and variant effects. This package is an R interface corresponding to the 2019 update of 'g:Profiler' and provides access to 'g:Profiler' for versions 'e94_eg41_p11' and higher. See the package 'gProfileR' for accessing older versions from the 'g:Profiler' toolset.
Author: Liis Kolberg [aut, cre], Uku Raudvere [aut]
Maintainer: Liis Kolberg <liis.kolberg@ut.ee>

Diff between gprofiler2 versions 0.2.3 dated 2024-02-23 and 0.2.4 dated 2025-11-11

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Package fluxible updated to version 1.3.4 with previous version 1.3.3 dated 2025-09-25

Title: Ecosystem Gas Fluxes Calculations for Closed Loop Chamber Setup
Description: Toolbox to process raw data from closed loop flux chamber (or tent) setups into ecosystem gas fluxes usable for analysis. It goes from a data frame of gas concentration over time (which can contain several measurements) and a meta data file indicating which measurement was done when, to a data frame of ecosystem gas fluxes including quality diagnostics. Organized with one function per step, maximizing user flexibility and backwards compatibility. Different models to estimate the fluxes from the raw data are available: exponential as described in Zhao et al (2018) <doi:10.1016/j.agrformet.2018.08.022>, exponential as described in Hutchinson and Mosier (1981) <doi:10.2136/sssaj1981.03615995004500020017x>, quadratic, and linear. Other functions include quality assessment, plotting for visual check, calculation of fluxes based on the setup specific parameters (chamber size, plot area, ...), gross primary production and transpiration rate calculation, and light response curves.
Author: Joseph Gaudard [aut, cre] , Richard James Telford [aut]
Maintainer: Joseph Gaudard <joseph.gaudard@pm.me>

Diff between fluxible versions 1.3.3 dated 2025-09-25 and 1.3.4 dated 2025-11-11

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 NEWS.md                                                                    |    5 
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 R/flux_fitting_exptz.R                                                     |    9 
 R/flux_fitting_hm.R                                                        |    7 
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Package DIFM updated to version 1.0.1 with previous version 1.0 dated 2024-04-12

Title: Dynamic ICAR Spatiotemporal Factor Models
Description: Bayesian factor models are effective tools for dimension reduction. This is especially applicable to multivariate large-scale datasets. It allows researchers to understand the latent factors of the data which are the linear or non-linear combination of the variables. Dynamic Intrinsic Conditional Autocorrelative Priors (ICAR) Spatiotemporal Factor Models 'DIFM' package provides function to run Markov Chain Monte Carlo (MCMC), evaluation methods and visual plots from Shin and Ferreira (2023)<doi:10.1016/j.spasta.2023.100763>. Our method is a class of Bayesian factor model which can account for spatial and temporal correlations. By incorporating these correlations, the model can capture specific behaviors and provide predictions.
Author: Hwasoo Shin [aut, cre], Marco Ferreira [aut]
Maintainer: Hwasoo Shin <hshin2@hfhs.org>

Diff between DIFM versions 1.0 dated 2024-04-12 and 1.0.1 dated 2025-11-11

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Package BeeGUTS updated to version 1.4.0 with previous version 1.3.0 dated 2024-10-23

Title: General Unified Threshold Model of Survival for Bees using Bayesian Inference
Description: Tools to calibrate, validate, and make predictions with the General Unified Threshold model of Survival adapted for Bee species. The model is presented in the publication from Baas, J., Goussen, B., Miles, M., Preuss, T.G., Roessing, I. (2022) <doi:10.1002/etc.5423> and Baas, J., Goussen, B., Taenzler, V., Roeben, V., Miles, M., Preuss, T.G., van den Berg, S., Roessink, I. (2024) <doi:10.1002/etc.5871>, and is based on the GUTS framework Jager, T., Albert, C., Preuss, T.G. and Ashauer, R. (2011) <doi:10.1021/es103092a>. The authors are grateful to Bayer A.G. for its financial support.
Author: Benoit Goussen [aut] , Liubov Zakharova [ctb], Carlo Romoli [aut, cre], Bayer AG [cph, fnd], ibacon GmbH [cph]
Maintainer: Carlo Romoli <carlo.romoli@ibacon.com>

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Package varoc updated to version 1.0.0 with previous version 0.4.0 dated 2025-06-21

Title: Value Added Receiver Operating Characteristics Curve
Description: A continuous version of the receiver operating characteristics (ROC) curve to assess both classification and continuity performances of biomarkers, diagnostic tests, or risk prediction models.
Author: Yunro Chung [aut, cre]
Maintainer: Yunro Chung <yunro.chung@asu.edu>

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Package xRing updated to version 0.1.2 with previous version 0.1.1 dated 2022-04-22

Title: Identify and Measure Tree Rings on X-Ray Micro-Density Profiles
Description: Contains functions to identify tree-ring borders based on X-ray micro-density profiles and a Graphical User Interface (GUI) to visualize density profiles and correct tree-ring borders. Campelo F, Mayer K, Grabner M. (2019) <doi:10.1016/j.dendro.2018.11.002>.
Author: Filipe Campelo [aut, cre, cph], Konrad Mayer [ctb]
Maintainer: Filipe Campelo <fcampelo@ci.uc.pt>

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Package wbids updated to version 1.1.1 with previous version 1.1.0 dated 2025-09-04

Title: Seamless Access to World Bank International Debt Statistics (IDS)
Description: Access and analyze the World Bank's International Debt Statistics (IDS) <https://www.worldbank.org/en/programs/debt-statistics/ids>. IDS provides creditor-debtor relationships between countries, regions, and institutions. 'wbids' enables users to download, process and work with IDS series across multiple geographies, counterparts, and time periods.
Author: Teal Emery [aut, cre], Teal Insights [cph], Christoph Scheuch [aut] , Christopher Smith [ctb]
Maintainer: Teal Emery <lte@tealinsights.com>

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Package SLOPE updated to version 1.2.0 with previous version 1.1.0 dated 2025-10-30

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], Mathurin Massias [aut], [...truncated...]
Maintainer: Johan Larsson <johanlarsson@outlook.com>

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Package praznik updated to version 12.0.0 with previous version 11.0.0 dated 2022-05-20

Title: Tools for Information-Based Feature Selection and Scoring
Description: A toolbox of fast, native and parallel implementations of various information-based importance criteria estimators and feature selection filters based on them, inspired by the overview by Brown, Pocock, Zhao and Lujan (2012) <https://www.jmlr.org/papers/v13/brown12a.html>. Contains, among other, minimum redundancy maximal relevancy ('mRMR') method by Peng, Long and Ding (2005) <doi:10.1109/TPAMI.2005.159>; joint mutual information ('JMI') method by Yang and Moody (1999) <https://papers.nips.cc/paper/1779-data-visualization-and-feature-selection-new-algorithms-for-nongaussian-data>; double input symmetrical relevance ('DISR') method by Meyer and Bontempi (2006) <doi:10.1007/11732242_9> as well as joint mutual information maximisation ('JMIM') method by Bennasar, Hicks and Setchi (2015) <doi:10.1016/j.eswa.2015.07.007>.
Author: Miron B. Kursa [aut, cre]
Maintainer: Miron B. Kursa <m@mbq.me>

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Package omopgenerics updated to version 1.3.3 with previous version 1.3.2 dated 2025-10-13

Title: Methods and Classes for the OMOP Common Data Model
Description: Provides definitions of core classes and methods used by analytic pipelines that query the OMOP (Observational Medical Outcomes Partnership) common data model.
Author: Marti Catala [aut, cre] , Edward Burn [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Marta Alcalde-Herraiz [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package mev updated to version 2.1 with previous version 2.0 dated 2025-10-22

Title: Modelling of Extreme Values
Description: Various tools for the analysis of univariate, multivariate and functional extremes. Exact simulation from max-stable processes (Dombry, Engelke and Oesting, 2016, <doi:10.1093/biomet/asw008>, R-Pareto processes for various parametric models, including Brown-Resnick (Wadsworth and Tawn, 2014, <doi:10.1093/biomet/ast042>) and Extremal Student (Thibaud and Opitz, 2015, <doi:10.1093/biomet/asv045>). Threshold selection methods, including Wadsworth (2016) <doi:10.1080/00401706.2014.998345>, and Northrop and Coleman (2014) <doi:10.1007/s10687-014-0183-z>. Multivariate extreme diagnostics. Estimation and likelihoods for univariate extremes, e.g., Coles (2001) <doi:10.1007/978-1-4471-3675-0>.
Author: Leo Belzile [aut, cre] , Jennifer L. Wadsworth [aut], Paul J. Northrop [aut] , Raphael Huser [aut] , Scott D. Grimshaw [aut] , Jin Zhang [ctb], Michael A. Stephens [ctb], Art B. Owen [ctb]
Maintainer: Leo Belzile <belzilel@gmail.com>

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Package ecotraj updated to version 1.2.0 with previous version 1.1.1 dated 2025-08-28

Title: Ecological Trajectory Analysis
Description: Analysis of temporal changes (i.e. dynamics) of ecological entities, defined as trajectories on a chosen multivariate space, by providing a set of trajectory metrics and visual representations [De Caceres et al. (2019) <doi:10.1002/ecm.1350>; and Sturbois et al. (2021) <doi:10.1016/j.ecolmodel.2020.109400>]. Includes functions to estimate metrics for individual trajectories (length, directionality, angles, ...) as well as metrics to relate pairs of trajectories (dissimilarity and convergence). Functions are also provided to estimate the ecological quality of ecosystem with respect to reference conditions [Sturbois et al. (2023) <doi:10.1002/ecs2.4726>].
Author: Miquel De Caceres [aut, cre] , Nicolas Djeghri [aut] , Anthony Sturbois [aut] , Javier De la Casa [ctb]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

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Package bayesm updated to version 3.1-7 with previous version 3.1-6 dated 2023-09-23

Title: Bayesian Inference for Marketing/Micro-Econometrics
Description: Covers many important models used in marketing and micro-econometrics applications. The package includes: Bayes Regression (univariate or multivariate dep var), Bayes Seemingly Unrelated Regression (SUR), Binary and Ordinal Probit, Multinomial Logit (MNL) and Multinomial Probit (MNP), Multivariate Probit, Negative Binomial (Poisson) Regression, Multivariate Mixtures of Normals (including clustering), Dirichlet Process Prior Density Estimation with normal base, Hierarchical Linear Models with normal prior and covariates, Hierarchical Linear Models with a mixture of normals prior and covariates, Hierarchical Multinomial Logits with a mixture of normals prior and covariates, Hierarchical Multinomial Logits with a Dirichlet Process prior and covariates, Hierarchical Negative Binomial Regression Models, Bayesian analysis of choice-based conjoint data, Bayesian treatment of linear instrumental variables models, Analysis of Multivariate Ordinal survey data with scale usage heterogeneity (as i [...truncated...]
Author: Peter Rossi [aut, cre], Robert McCulloch [ctb], Wayne Taylor [ctb], Dan Yavorsky [ctb]
Maintainer: Peter Rossi <perossichi@gmail.com>

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Package dcifer updated to version 1.5.0 with previous version 1.2.1 dated 2023-12-12

Title: Genetic Relatedness Between Polyclonal Infections
Description: An implementation of Dcifer (Distance for complex infections: fast estimation of relatedness), an identity by descent (IBD) based method to calculate genetic relatedness between polyclonal infections from biallelic and multiallelic data. The package includes functions that format and preprocess the data, implement the method, and visualize the results. Gerlovina et al. (2022) <doi:10.1093/genetics/iyac126>.
Author: Inna Gerlovina [aut, cre]
Maintainer: Inna Gerlovina <innager@berkeley.edu>

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Package peruflorads43 (with last version 0.2.0) was removed from CRAN

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

2025-10-27 0.2.0
2023-08-21 0.1.1

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Package fdicdata (with last version 0.1.1) was removed from CRAN

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

2024-09-12 0.1.1

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Mon, 10 Nov 2025

Package MCOE updated to version 0.6.0 with previous version 0.4.0 dated 2024-02-06

Title: Creates New Folders and Loads Standard Practices for Monterey County Office of Education
Description: Basic Setup for Projects in R for Monterey County Office of Education. It contains functions often used in the analysis of education data in the county office including seeing if an item is not in a list, rounding in the manner the general public expects, including logos for districts, switching between district names and their county-district-school codes, accessing the local 'SQL' table and making thematically consistent graphs.
Author: David Dobrowski [aut, cre, cph]
Maintainer: David Dobrowski <ddobrowski@montereycoe.org>

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Package container updated to version 1.1.0 with previous version 1.0.5 dated 2024-12-02

Title: Extending Base 'R' Lists
Description: Extends the functionality of base 'R' lists and provides specialized data structures 'deque', 'set', 'dict', and 'dict.table', the latter to extend the 'data.table' package.
Author: Roman Pahl [aut, cre]
Maintainer: Roman Pahl <roman.pahl@gmail.com>

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Package sqltargets updated to version 0.3.0 with previous version 0.2.1 dated 2024-10-02

Title: 'Targets' Extension for 'SQL' Queries
Description: Provides an extension for 'SQL' queries as separate file within 'targets' pipelines. The shorthand creates two targets, the query file and the query result.
Author: David Ranzolin [aut, cre, cph], Roy Storey [ctb]
Maintainer: David Ranzolin <daranzolin@gmail.com>

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Package INLAjoint updated to version 25.11.10 with previous version 24.3.25 dated 2024-03-25

Title: Multivariate Joint Modeling for Longitudinal and Time-to-Event Outcomes with 'INLA'
Description: Estimation of joint models for multivariate longitudinal markers (with various distributions available) and survival outcomes (possibly accounting for competing risks) with Integrated Nested Laplace Approximations (INLA). The flexible and user friendly function joint() facilitates the use of the fast and reliable inference technique implemented in the 'INLA' package for joint modeling. More details are given in the help page of the joint() function (accessible via ?joint in the R console) and the vignette associated to the joint() function (accessible via vignette("INLAjoint") in the R console).
Author: Denis Rustand [cre, aut] , Elias Teixeira Krainski [aut] , Haavard Rue [aut] , Janet van Niekerk [aut]
Maintainer: Denis Rustand <INLAjoint@gmail.com>

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Package rmsMD updated to version 1.0.1 with previous version 1.0.0 dated 2025-06-17

Title: Output Results from 'rms' Models for Medical Journals
Description: Provides streamlined functions for summarising and visualising regression models fitted with the 'rms' package, in the preferred format for medical journals. The 'modelsummary_rms()' function produces concise summaries for linear, logistic, and Cox regression models, including automatic handling of models containing restricted cubic spline (RCS) terms. The resulting summary dataframe can be easily converted into publication-ready documents using the 'flextable' and 'officer' packages. The 'ggrmsMD()' function creates clear and customizable plots ('ggplot2' objects) to visualise RCS terms.
Author: Samuel Tingle [aut, cre] , Georgios Kourounis [aut]
Maintainer: Samuel Tingle <samjamestingle@gmail.com>

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Package riemtan updated to version 0.2.5 with previous version 0.1.0 dated 2025-04-23

Title: Riemannian Metrics for Symmetric Positive Definite Matrices
Description: Implements various Riemannian metrics for symmetric positive definite matrices, including AIRM (Affine Invariant Riemannian Metric, <doi:10.1007/s11263-005-3222-z>), Log-Euclidean (<doi:10.1002/mrm.20965>), Euclidean, Log-Cholesky (<doi:10.1137/18M1221084>), and Bures-Wasserstein metrics (<doi:10.1016/j.exmath.2018.01.002>). Provides functions for computing logarithmic and exponential maps, vectorization, and statistical operations on the manifold of positive definite matrices.
Author: Nicolas Escobar [aut, cre] , Jaroslaw Harezlak [ths]
Maintainer: Nicolas Escobar <nescoba@iu.edu>

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Package CIpostSelect updated to version 0.2.2 with previous version 0.2.1 dated 2024-10-22

Title: Confidence Interval Post-Selection of Variable
Description: Calculates confidence intervals after variable selection using repeated data splits. The package offers methods to address the challenges of post-selection inference, ensuring more accurate confidence intervals in models involving variable selection. The two main functions are 'lmps', which records the different models selected across multiple data splits as well as the corresponding coefficient estimates, and 'cips', which takes the lmps object as input to select variables and perform inferences using two types of voting.
Author: Boubacar DIALLO [aut, cre]
Maintainer: Boubacar DIALLO <boubacar.diallo0@yahoo.com>

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Package elliptic updated to version 1.5-1 with previous version 1.5-0 dated 2025-09-18

Title: Weierstrass and Jacobi Elliptic Functions
Description: A suite of elliptic and related functions including Weierstrass and Jacobi forms. Also includes various tools for manipulating and visualizing complex functions.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package ubair updated to version 1.1.1 with previous version 1.1.0 dated 2025-01-27

Title: Effects of External Conditions on Air Quality
Description: Analyzes the impact of external conditions on air quality using counterfactual approaches, featuring methods for data preparation, modeling, and visualization.
Author: Raphael Franke [aut], Imke Voss [aut, cre]
Maintainer: Imke Voss <imke.voss@uba.de>

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Package tugboat updated to version 0.1.5 with previous version 0.1.4 dated 2025-10-31

Title: Build a Docker Image from a Directory or Project
Description: Simple utilities to generate a Dockerfile from a directory or project, build the corresponding Docker image, push the image to DockerHub, and publicly share the project via Binder.
Author: Daniel Molitor [aut, cph, cre]
Maintainer: Daniel Molitor <molitdj97@gmail.com>

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Package PupillometryR updated to version 0.0.6 with previous version 0.0.5 dated 2023-09-15

Title: A Unified Pipeline for Pupillometry Data
Description: Provides a unified pipeline to clean, prepare, plot, and run basic analyses on pupillometry experiments.
Author: Samuel Forbes [aut, cre], David Robinson [ctb]
Maintainer: Samuel Forbes <samuel.h.forbes@gmail.com>

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Package PartialNetwork updated to version 1.1.2 with previous version 1.1.1 dated 2025-09-24

Title: Estimating Peer Effects Using Partial Network Data
Description: Implements IV-estimator and Bayesian estimator for linear-in-means Spatial Autoregressive (SAR) model (see LeSage, 1997 <doi:10.1177/016001769702000107>; Lee, 2004 <doi:10.1111/j.1468-0262.2004.00558.x>; Bramoullé et al., 2009 <doi:10.1016/j.jeconom.2008.12.021>), while assuming that only a partial information about the network structure is available. Examples are when the adjacency matrix is not fully observed or when only consistent estimation of the network formation model is available (see Boucher and Houndetoungan, 2025 <doi:10.48550/arXiv.2509.08145>).
Author: Vincent Boucher [aut], Aristide Houndetoungan [cre, aut]
Maintainer: Aristide Houndetoungan <ahoundetoungan@ecn.ulaval.ca>

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Package tvmediation (with last version 1.1.0) was removed from CRAN

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2022-05-25 1.1.0

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Package bcfrailph (with last version 0.1.1) was removed from CRAN

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Package ggmosaic (with last version 0.3.3) was removed from CRAN

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2021-02-23 0.3.3
2018-09-12 0.2.0
2017-02-08 0.1.2
2016-12-29 0.1.1

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Package nzilbb.vowels (with last version 0.4.1) was removed from CRAN

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2025-05-06 0.4.1
2024-11-29 0.3.1

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Package resourcecode updated to version 0.5.0 with previous version 0.4.0 dated 2025-10-22

Title: Access to the 'RESOURCECODE' Hindcast Database
Description: Utility functions to download data from the 'RESOURCECODE' hindcast database of sea-states, time series of sea-state parameters and time series of 1D and 2D wave spectra. See <https://resourcecode.ifremer.fr> for more details about the available data. Also provides facilities to plot and analyse downloaded data, such as computing the sea-state parameters from both the 1D and 2D surface elevation variance spectral density.
Author: Nicolas Raillard [aut, cre]
Maintainer: Nicolas Raillard <nicolas.raillard@ifremer.fr>

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Package devianLM updated to version 1.0.5 with previous version 1.0.4 dated 2025-10-05

Title: Detecting Extremal Values in a Normal Linear Model
Description: Provides a method to detect values poorly explained by a Gaussian linear model. The procedure is based on the maximum of the absolute value of the studentized residuals, which is a parameter-free statistic. This approach generalizes several procedures used to detect abnormal values during longitudinal monitoring of biological markers. For methodological details, see: Berthelot G., Saulière G., Dedecker J. (2025). "DEViaN-LM An R Package for Detecting Abnormal Values in the Gaussian Linear Model". HAL Id: hal-05230549. <https://hal.science/hal-05230549>.
Author: Guillaume Sauliere [aut, cre] , Geoffroy Berthelot [aut], Jerome Dedecker [aut]
Maintainer: Guillaume Sauliere <guillaumesauliere@hotmail.com>

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Package parquetize (with last version 0.5.7) was removed from CRAN

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Package SEQTaRget updated to version 1.3.2 with previous version 1.3.0 dated 2025-11-06

Title: Sequential Trial Emulation
Description: Implementation of sequential trial emulation for the analysis of observational databases. The 'SEQTaRget' software accommodates time-varying treatments and confounders, as well as binary and failure time outcomes. 'SEQTaRget' allows to compare both static and dynamic strategies, can be used to estimate observational analogs of intention-to-treat and per-protocol effects, and can adjust for potential selection bias induced by losses-to-follow-up. (Paper to come).
Author: Ryan O'Dea [aut, cre] , Alejandro Szmulewicz [aut] , Tom Palmer [aut] , Miguel Hernan [aut] , The President and Fellows of Harvard College [cph]
Maintainer: Ryan O'Dea <ryan.odea@psi.ch>

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Package rapidsplithalf updated to version 0.6 with previous version 0.5 dated 2025-11-06

Title: A Fast Permutation-Based Split-Half Reliability Algorithm
Description: Accurately estimates the reliability of cognitive tasks using a fast and flexible permutation-based split-half reliability algorithm that supports stratified splitting while maintaining equal split sizes. See Kahveci, Bathke, and Blechert (2025) <doi:10.3758/s13423-024-02597-y> for details.
Author: Sercan Kahveci [aut, cre]
Maintainer: Sercan Kahveci <sercan.kahveci@plus.ac.at>

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Package vvcanvas updated to version 0.0.7 with previous version 0.0.6 dated 2025-09-05

Title: 'Canvas' LMS API Integration
Description: Allow R users to interact with the 'Canvas' Learning Management System (LMS) API (see <https://canvas.instructure.com/doc/api/all_resources.html> for details). It provides a set of functions to access and manipulate course data, assignments, grades, users, and other resources available through the 'Canvas' API.
Author: Tomer Iwan [aut, cre], Niels Smits [ctb] , VU Analytics [cph]
Maintainer: Tomer Iwan <t.iwan@vu.nl>

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Package shinyOAuth updated to version 0.1.3 with previous version 0.1.1 dated 2025-11-09

Title: Provider-Agnostic OAuth Authentication for 'shiny' Applications
Description: Provides a simple, configurable, provider-agnostic 'OAuth 2.0' and 'OpenID Connect' (OIDC) authentication framework for 'shiny' applications using 'S7' classes. Defines providers, clients, and tokens, as well as various supporting functions and a 'shiny' module. Features include cross-site request forgery (CSRF) protection, state encryption, 'Proof Key for Code Exchange' (PKCE) handling, validation of OIDC identity tokens (nonces, signatures, claims), automatic user info retrieval, asynchronous flows, and hooks for audit logging.
Author: Luka Koning [aut, cre, cph]
Maintainer: Luka Koning <koningluka@gmail.com>

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Package rebmix updated to version 2.17.1 with previous version 2.17.0 dated 2025-11-06

Title: Finite Mixture Modeling, Clustering & Classification
Description: Random univariate and multivariate finite mixture model generation, estimation, clustering, latent class analysis and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, Gumbel, binomial, Poisson, Dirac, uniform or circular von Mises parametric families.
Author: Marko Nagode [aut, cre] , Branislav Panic [ctb] , Jernej Klemenc [ctb] , Simon Oman [ctb]
Maintainer: Marko Nagode <marko.nagode@fs.uni-lj.si>

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 16 files changed, 35 insertions(+), 35 deletions(-)

More information about rebmix at CRAN
Permanent link

Package prioritizr updated to version 8.1.0 with previous version 8.0.6 dated 2025-01-09

Title: Systematic Conservation Prioritization in R
Description: Systematic conservation prioritization using mixed integer linear programming (MILP). It provides a flexible interface for building and solving conservation planning problems. Once built, conservation planning problems can be solved using a variety of commercial and open-source exact algorithm solvers. By using exact algorithm solvers, solutions can be generated that are guaranteed to be optimal (or within a pre-specified optimality gap). Furthermore, conservation problems can be constructed to optimize the spatial allocation of different management actions or zones, meaning that conservation practitioners can identify solutions that benefit multiple stakeholders. To solve large-scale or complex conservation planning problems, users should install the Gurobi optimization software (available from <https://www.gurobi.com/>) and the 'gurobi' R package (see Gurobi Installation Guide vignette for details). Users can also install the IBM CPLEX software (<https://www.ibm.com/products [...truncated...]
Author: Jeffrey O Hanson [aut] , Richard Schuster [aut, cre] , Nina Morrell [aut], Matthew Strimas-Mackey [aut] , Brandon P M Edwards [aut] , Matthew E Watts [aut], Peter Arcese [aut] , Joseph R Bennett [aut] , Hugh P Possingham [aut]
Maintainer: Richard Schuster <richard.schuster@glel.carleton.ca>

Diff between prioritizr versions 8.0.6 dated 2025-01-09 and 8.1.0 dated 2025-11-10

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Package SEMdeep updated to version 1.1.0 with previous version 1.0.0 dated 2025-01-23

Title: Structural Equation Modeling with Deep Neural Network and Machine Learning Algorithms
Description: Training and validation of a custom (or data-driven) Structural Equation Models using layer-wise Deep Neural Networks or node-wise Machine Learning algorithms, which extend the fitting procedures of the 'SEMgraph' R package <doi:10.32614/CRAN.package.SEMgraph>.
Author: Mario Grassi [aut], Barbara Tarantino [cre]
Maintainer: Barbara Tarantino <barbara.tarantino01@universitadipavia.it>

Diff between SEMdeep versions 1.0.0 dated 2025-01-23 and 1.1.0 dated 2025-11-10

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Package saros updated to version 1.6.0 with previous version 1.5.4 dated 2025-06-04

Title: Semi-Automatic Reporting of Ordinary Surveys
Description: Offers a systematic way for conditional reporting of figures and tables for many (and bivariate combinations of) variables, typically from survey data. Contains interactive 'ggiraph'-based (<https://CRAN.R-project.org/package=ggiraph>) plotting functions and data frame-based summary tables (bivariate significance tests, frequencies/proportions, unique open ended responses, etc) with many arguments for customization, and extensions possible. Uses a global options() system for neatly reducing redundant code. Also contains tools for immediate saving of objects and returning a hashed link to the object, useful for creating download links to high resolution images upon rendering in 'Quarto'. Suitable for highly customized reports, primarily intended for survey research.
Author: Stephan Daus [aut, cre, cph] , Julia Silge [ctb] , David Robinson [ctb] , Nordic Institute for The Studies of Innovation, Research and Education [fnd], Kristiania University College [fnd]
Maintainer: Stephan Daus <stephus.daus@gmail.com>

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Package gsl updated to version 2.1-9 with previous version 2.1-8 dated 2023-01-24

Title: Wrapper for the Gnu Scientific Library
Description: An R wrapper for some of the functionality of the Gnu Scientific Library.
Author: Robin K. S. Hankin [aut, cre] , Andrew Clausen [ctb] , Duncan Murdoch [ctb]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between gsl versions 2.1-8 dated 2023-01-24 and 2.1-9 dated 2025-11-10

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Package cancerradarr updated to version 2.1.0 with previous version 2.0.0 dated 2025-10-28

Title: Cancer RADAR Project Tool
Description: Cancer RADAR is a project which aim is to develop an infrastructure that allows quantifying the risk of cancer by migration background across Europe. This package contains a set of functions cancer registries partners should use to reshape 5 year-age group cancer incidence data into a set of summary statistics (see Boyle & Parkin (1991, ISBN:978-92-832-1195-2)) in lines with Cancer RADAR data protections rules.
Author: Nienke Alberts [aut], Damien Georges [aut, cre] , Stefano Rosso [aut], Iacopo Baussano [aut]
Maintainer: Damien Georges <georgesd@iarc.who.int>

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Package worldbank readmission to version 0.7.0 with previous version 0.6.1 dated 2025-08-29

Title: Client for World Banks's 'Indicators' and 'Poverty and Inequality Platform (PIP)' APIs
Description: Download and search data from the 'World Bank Indicators API', which provides access to nearly 16,000 time series indicators. See <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation> for further details about the API.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

This is a re-admission after prior archival of version 0.6.1 dated 2025-08-29

Diff between worldbank versions 0.6.1 dated 2025-08-29 and 0.7.0 dated 2025-11-10

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Package fiery updated to version 1.4.0 with previous version 1.3.0 dated 2025-08-20

Title: A Lightweight and Flexible Web Framework
Description: A very flexible framework for building server side logic in R. The framework is unopinionated when it comes to how HTTP requests and WebSocket messages are handled and supports all levels of app complexity; from serving static content to full-blown dynamic web-apps. Fiery does not hold your hand as much as e.g. the shiny package does, but instead sets you free to create your web app the way you want.
Author: Thomas Lin Pedersen [cre, aut]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between fiery versions 1.3.0 dated 2025-08-20 and 1.4.0 dated 2025-11-10

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Package covid19br readmission to version 1.0.0.1 with previous version 1.0.0 dated 2025-08-18

Title: Brazilian COVID-19 Pandemic Data
Description: Set of functions to import COVID-19 pandemic data into R. The Brazilian COVID-19 data, obtained from the official Brazilian repository at <https://covid.saude.gov.br/>, is available at the country, region, state, and city levels. The package also downloads world-level COVID-19 data from Johns Hopkins University's repository. COVID-19 data is available from the start of follow-up until to May 5, 2023, when the World Health Organization (WHO) declared an end to the Public Health Emergency of International Concern (PHEIC) for COVID-19.
Author: Fabio Demarqui [aut, cre, cph], Cristiano Santos [aut], Matheus Costa [ctb]
Maintainer: Fabio Demarqui <fndemarqui@est.ufmg.br>

This is a re-admission after prior archival of version 1.0.0 dated 2025-08-18

Diff between covid19br versions 1.0.0 dated 2025-08-18 and 1.0.0.1 dated 2025-11-10

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Package ATAforecasting updated to version 0.0.61 with previous version 0.0.60 dated 2023-06-12

Title: Automatic Time Series Analysis and Forecasting using the Ata Method
Description: The Ata method (Yapar et al. (2019) <doi:10.15672/hujms.461032>), an alternative to exponential smoothing (described in Yapar (2016) <doi:10.15672/HJMS.201614320580>, Yapar et al. (2017) <doi:10.15672/HJMS.2017.493>), is a new univariate time series forecasting method which provides innovative solutions to issues faced during the initialization and optimization stages of existing forecasting methods. Forecasting performance of the Ata method is superior to existing methods both in terms of easy implementation and accurate forecasting. It can be applied to non-seasonal or seasonal time series which can be decomposed into four components (remainder, level, trend and seasonal). This methodology performed well on the M3 and M4-competition data. This package was written based on Ali Sabri Taylan’s PhD dissertation.
Author: Ali Sabri Taylan [aut, cre, cph] , Hanife Taylan Selamlar [aut, cph] , Guckan Yapar [aut, ths, cph]
Maintainer: Ali Sabri Taylan <alisabritaylan@gmail.com>

Diff between ATAforecasting versions 0.0.60 dated 2023-06-12 and 0.0.61 dated 2025-11-10

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Package wrswoR updated to version 1.2.0 with previous version 1.1.1 dated 2020-07-26

Title: Weighted Random Sampling without Replacement
Description: A collection of implementations of classical and novel algorithms for weighted sampling without replacement. Implementations include the algorithm of Efraimidis and Spirakis (2006) <doi:10.1016/j.ipl.2005.11.003> and Wong and Easton (1980) <doi:10.1137/0209009>.
Author: Kirill Mueller [aut, cre]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between wrswoR versions 1.1.1 dated 2020-07-26 and 1.2.0 dated 2025-11-10

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New package toon with initial version 0.0.1
Package: toon
Title: Token-Oriented Object Notation (TOON)
Version: 0.0.1
Maintainer: Bernardo Lares <laresbernardo@gmail.com>
Description: Token-Oriented Object Notation (TOON) is a compact, human-readable serialization format designed for passing structured data to Large Language Models with significantly reduced token usage. It's intended for LLM input as a lossless, drop-in representation of JSON data.
Depends: R (>= 3.5.0)
URL: https://github.com/laresbernardo/toon
BugReports: https://github.com/laresbernardo/toon/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-05 17:42:04 UTC; bernardo
Author: Bernardo Lares [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-10 08:20:02 UTC

More information about toon at CRAN
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New package tidycensuskr with initial version 0.2.3
Package: tidycensuskr
Title: Easy Access for South Korea Census Data and Boundaries
Version: 0.2.3
Description: Census and administrative data in South Korea are a basic source of quantitative and mixed-methods research for social and urban scientists. This package provides a 'sf' (Pebesma et al., 2024 <doi:10.32614/CRAN.package.sf>) based standardized workflow based on direct open API access to the major census and administrative data sources and pre-generated files in South Korea.
License: MIT + file LICENSE
LazyData: true
Depends: R (>= 4.2.0)
Imports: sf, dplyr, tidyr, kosis, utils, rlang
Suggests: knitr, withr, purrr, rmarkdown, ggplot2, biscale, cowplot, tmap, geodata, testthat (>= 3.0.0), ggspatial, spdep
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/sigmafelix/tidycensuskr, https://sigmafelix.github.io/tidycensuskr/, https://sigmafelix.r-universe.dev/tidycensuskr/
BugReports: https://github.com/sigmafelix/tidycensuskr/issues
NeedsCompilation: no
Packaged: 2025-11-04 11:40:35 UTC; isong
Author: Insang Song [aut, cre] , Sohyun Park [aut, ctb] , Hyesop Shin [aut, ctb]
Maintainer: Insang Song <geoissong@snu.ac.kr>
Repository: CRAN
Date/Publication: 2025-11-10 09:00:02 UTC

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Package sf updated to version 1.0-22 with previous version 1.0-21 dated 2025-05-15

Title: Simple Features for R
Description: Support for simple feature access, a standardized way to encode and analyze spatial vector data. Binds to 'GDAL' <doi:10.5281/zenodo.5884351> for reading and writing data, to 'GEOS' <doi:10.5281/zenodo.11396894> for geometrical operations, and to 'PROJ' <doi:10.5281/zenodo.5884394> for projection conversions and datum transformations. Uses by default the 's2' package for geometry operations on geodetic (long/lat degree) coordinates.
Author: Edzer Pebesma [aut, cre] , Roger Bivand [ctb] , Etienne Racine [ctb], Michael Sumner [ctb], Ian Cook [ctb], Tim Keitt [ctb], Robin Lovelace [ctb], Hadley Wickham [ctb], Jeroen Ooms [ctb] , Kirill Mueller [ctb], Thomas Lin Pedersen [ctb], Dan Baston [c [...truncated...]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between sf versions 1.0-21 dated 2025-05-15 and 1.0-22 dated 2025-11-10

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Package RSQLite updated to version 2.4.4 with previous version 2.4.3 dated 2025-08-20

Title: SQLite Interface for R
Description: Embeds the SQLite database engine in R and provides an interface compliant with the DBI package. The source for the SQLite engine (version 3.51.0) and for various extensions is included. System libraries will never be consulted because this package relies on static linking for the plugins it includes; this also ensures a consistent experience across all installations.
Author: Kirill Mueller [aut, cre] , Hadley Wickham [aut], David A. James [aut], Seth Falcon [aut], D. Richard Hipp [ctb] , Dan Kennedy [ctb] , Joe Mistachkin [ctb] , SQLite Authors [ctb] , Liam Healy [ctb] , R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between RSQLite versions 2.4.3 dated 2025-08-20 and 2.4.4 dated 2025-11-10

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Package plotthis updated to version 0.8.2 with previous version 0.8.1 dated 2025-10-16

Title: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages
Description: Provides high-level API and a wide range of options to create stunning, publication-quality plots effortlessly. It is built upon 'ggplot2' and other plotting packages, and is designed to be easy to use and to work seamlessly with 'ggplot2' objects. It is particularly useful for creating complex plots with multiple layers, facets, and annotations. It also provides a set of functions to create plots for specific types of data, such as Venn diagrams, alluvial diagrams, and phylogenetic trees. The package is designed to be flexible and customizable, and to work well with the 'ggplot2' ecosystem. The API can be found at <https://pwwang.github.io/plotthis/reference/index.html>.
Author: Panwen Wang [aut, cre]
Maintainer: Panwen Wang <pwwang@pwwang.com>

Diff between plotthis versions 0.8.1 dated 2025-10-16 and 0.8.2 dated 2025-11-10

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New package pecan with initial version 0.1.0
Package: pecan
Title: Portfolio for Economic Complexity Analysis and Navigation
Version: 0.1.0
Maintainer: Shiying Xiao <shiying.xiao@outlook.com>
Description: A portfolio of tools for economic complexity analysis and industrial upgrading navigation. The package implements essential measures in international trade and development economics, including the relative comparative advantage (RCA), economic complexity index (ECI) and product complexity index (PCI). It enables users to analyze export structures, explore product relatedness, and identify potential upgrading paths grounded in economic theory, following the framework in Hausmann et al. (2014) <doi:10.7551/mitpress/9647.001.0001>.
License: GPL (>= 3)
URL: https://github.com/Carol-seven/pecan
BugReports: https://github.com/Carol-seven/pecan/issues
Encoding: UTF-8
Imports: Rdpack, dplyr, tibble, tidyr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-05 21:44:55 UTC; csxiao
Author: Shiying Xiao [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-11-10 08:30:07 UTC

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New package hdf5lib with initial version 1.14.6.4
Package: hdf5lib
Title: Headers and Static Libraries for 'HDF5'
Version: 1.14.6.4
Description: 'HDF5' (Hierarchical Data Format 5) is a high-performance library and file format for storing and managing large, complex data. This package provides the static libraries and headers for the 'HDF5' 'C' library (release 1.14.6). It is intended for R package developers to use in the 'LinkingTo' field, which eliminates the need for users to install system-level 'HDF5' dependencies. This build is compiled with thread-safety enabled and supports dynamic loading of external compression filters. 'HDF5' is developed by 'The HDF Group' <https://www.hdfgroup.org/>.
URL: https://github.com/cmmr/hdf5lib
BugReports: https://github.com/cmmr/hdf5lib/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
NeedsCompilation: yes
Suggests: testthat (>= 3.0.0)
Packaged: 2025-11-05 17:19:40 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: 2025-11-10 08:20:20 UTC

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Package clifford readmission to version 1.1-3 with previous version 1.1-2 dated 2025-10-20

Title: Arbitrary Dimensional Clifford Algebras
Description: A suite of routines for Clifford algebras, using the 'Map' class of the Standard Template Library. Canonical reference: Hestenes (1987, ISBN 90-277-1673-0, "Clifford algebra to geometric calculus"). Special cases including Lorentz transforms, quaternion multiplication, and Grassmann algebra, are discussed. Vignettes presenting conformal geometric algebra, quaternions and split quaternions, dual numbers, and Lorentz transforms are included. The package follows 'disordR' discipline.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

This is a re-admission after prior archival of version 1.1-2 dated 2025-10-20

Diff between clifford versions 1.1-2 dated 2025-10-20 and 1.1-3 dated 2025-11-10

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New package CDF with initial version 0.1.0
Package: CDF
Title: Centroid Decision Forest for High-Dimensional Classification
Version: 0.1.0
Description: Implements the Centroid Decision Forest (CDF) as a single user-facing function CDF(). The method selects discriminative features via a multi-class class separability score (CSS), splits by nearest class centroid, and aggregates tree votes to produce predictions and class probabilities. Returns CSS-based feature importance as well. Amjad Ali, Saeed Aldahmani, Zardad Khan (2025) <doi:10.48550/arXiv.2503.19306>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: matrixStats, utils
NeedsCompilation: no
Packaged: 2025-11-05 17:12:37 UTC; Admin
Author: Amjad Ali [aut, cre], Saeed Aldahmani [aut], Zardad Khan [aut]
Maintainer: Amjad Ali <amjadali@uaeu.ac.ae>
Repository: CRAN
Date/Publication: 2025-11-10 08:20:32 UTC

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Package promor (with last version 0.2.1) was removed from CRAN

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

2023-07-17 0.2.1
2023-01-17 0.2.0
2022-11-01 0.1.1
2022-07-20 0.1.0

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Package uwot updated to version 0.2.4 with previous version 0.2.3 dated 2025-02-24

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

Diff between uwot versions 0.2.3 dated 2025-02-24 and 0.2.4 dated 2025-11-10

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Package netgwas updated to version 1.14.4 with previous version 1.14.3 dated 2024-03-19

Title: Network-Based Genome Wide Association Studies
Description: A multi-core R package that contains a set of tools based on copula graphical models for accomplishing the three interrelated goals in genetics and genomics in an unified way: (1) linkage map construction, (2) constructing linkage disequilibrium networks, and (3) exploring high-dimensional genotype-phenotype network and genotype- phenotype-environment interactions networks. The 'netgwas' package can deal with biparental inbreeding and outbreeding species with any ploidy level, namely diploid (2 sets of chromosomes), triploid (3 sets of chromosomes), tetraploid (4 sets of chromosomes) and so on. We target on high-dimensional data where number of variables p is considerably larger than number of sample sizes (p >> n). The computations is memory-optimized using the sparse matrix output. The 'netgwas' implements the methodological developments in Behrouzi and Wit (2017) <doi:10.1111/rssc.12287> and Behrouzi and Wit (2017) <doi:10.1093/bioinformatics/bty777>.
Author: Pariya Behrouzi [aut, cre] , Ernst C. Wit [ctb]
Maintainer: Pariya Behrouzi <pariya.behrouzi@gmail.com>

Diff between netgwas versions 1.14.3 dated 2024-03-19 and 1.14.4 dated 2025-11-10

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Package dipm updated to version 1.12 with previous version 1.11 dated 2025-06-15

Title: Depth Importance in Precision Medicine (DIPM) Method
Description: An implementation by Chen, Li, and Zhang (2022) <doi: 10.1093/bioadv/vbac041> of the Depth Importance in Precision Medicine (DIPM) method in Chen and Zhang (2022) <doi:10.1093/biostatistics/kxaa021> and Chen and Zhang (2020) <doi:10.1007/978-3-030-46161-4_16>. The DIPM method is a classification tree that searches for subgroups with especially poor or strong performance in a given treatment group.
Author: Cai Li [aut, cre], Victoria Chen [aut], Heping Zhang [aut]
Maintainer: Cai Li <cai.li.stats@gmail.com>

Diff between dipm versions 1.11 dated 2025-06-15 and 1.12 dated 2025-11-10

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Package cvms updated to version 2.0.0 with previous version 1.8.1 dated 2025-08-24

Title: Cross-Validation for Model Selection
Description: Cross-validate one or multiple regression and classification models and get relevant evaluation metrics in a tidy format. Validate the best model on a test set and compare it to a baseline evaluation. Alternatively, evaluate predictions from an external model. Currently supports regression and classification (binary and multiclass). Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).
Author: Ludvig Renbo Olsen [aut, cre] , Hugh Benjamin Zachariae [aut], Indrajeet Patil [ctb] , Daniel Luedecke [ctb]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

Diff between cvms versions 1.8.1 dated 2025-08-24 and 2.0.0 dated 2025-11-10

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Sun, 09 Nov 2025

Package tidyseurat updated to version 0.8.7 with previous version 0.8.4 dated 2025-10-02

Title: Brings Seurat to the Tidyverse
Description: It creates an invisible layer that allow to see the 'Seurat' object as tibble and interact seamlessly with the tidyverse.
Author: Stefano Mangiola [aut, cre], Maria Doyle [ctb]
Maintainer: Stefano Mangiola <mangiolastefano@gmail.com>

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Package rSDR updated to version 1.0.3.0 with previous version 1.0.2.1 dated 2025-10-28

Title: Robust Sufficient Dimension Reduction
Description: A novel sufficient-dimension reduction method is robust against outliers using alpha-distance covariance and manifold-learning in dimensionality reduction problems. Please refer Hsin-Hsiung Huang, Feng Yu & Teng Zhang (2024) <doi:10.1080/10485252.2024.2313137> for the details.
Author: Sheau-Chiann Chen [aut, cre] , Shilin Zhao [aut], Hsin-Hsiung Bill Huang [aut]
Maintainer: Sheau-Chiann Chen <sheau-chiann.chen.1@vumc.org>

Diff between rSDR versions 1.0.2.1 dated 2025-10-28 and 1.0.3.0 dated 2025-11-09

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Package surveygraph updated to version 1.0.0 with previous version 0.1.2 dated 2024-06-04

Title: Network Representations of Attitudes
Description: A tool for computing network representations of attitudes, extracted from tabular data such as sociological surveys. Development of surveygraph software and training materials was initially funded by the European Union under the ERC Proof-of-concept programme (ERC, Attitude-Maps-4-All, project number: 101069264). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
Author: Samuel Unicomb [aut, cre], Ana Jovancevic [aut], Caoimhe O'Reilly [aut], Alejandro Dinkelberg [aut], Padraig MacCarron [aut], David O'Sullivan [aut], Paul Maher [aut], Mike Quayle [aut]
Maintainer: Samuel Unicomb <samuelunicomb@gmail.com>

Diff between surveygraph versions 0.1.2 dated 2024-06-04 and 1.0.0 dated 2025-11-09

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Package rbedrock updated to version 0.4.2 with previous version 0.4.1 dated 2025-08-24

Title: Analysis and Manipulation of Data from Minecraft Bedrock Edition
Description: Implements an interface to Minecraft (Bedrock Edition) worlds. Supports the analysis and management of these worlds and game saves.
Author: Reed Cartwright [aut, cre] , Rich FitzJohn [ctb], Christian Stigen Larsen [ctb], The LevelDB Authors [cph]
Maintainer: Reed Cartwright <racartwright@gmail.com>

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Package tican updated to version 1.1.0 with previous version 1.0.3 dated 2025-05-26

Title: Plot and Analyse Time-Intensity Data
Description: Plots and analyzes time-intensity curve data, such as data from (contrast-enhanced) ultrasound. Values such as peak intensity, time to peak, area under the curve, wash in rate and wash out rate are calculated.
Author: Samuel James Tingle [aut, cre]
Maintainer: Samuel James Tingle <samjamestingle@gmail.com>

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Package qvirus updated to version 0.0.5 with previous version 0.0.4 dated 2025-05-20

Title: Quantum Computing for Analyzing CD4 Lymphocytes and Antiretroviral Therapy
Description: Resources, tutorials, and code snippets dedicated to exploring the intersection of quantum computing and artificial intelligence (AI) in the context of analyzing Cluster of Differentiation 4 (CD4) lymphocytes and optimizing antiretroviral therapy (ART) for human immunodeficiency virus (HIV). With the emergence of quantum artificial intelligence and the development of small-scale quantum computers, there's an unprecedented opportunity to revolutionize the understanding of HIV dynamics and treatment strategies. This project leverages the R package 'qsimulatR' (Ostmeyer and Urbach, 2023, <https://CRAN.R-project.org/package=qsimulatR>), a quantum computer simulator, to explore these applications in quantum computing techniques, addressing the challenges in studying CD4 lymphocytes and enhancing ART efficacy.
Author: Juan Pablo Acuna Gonzalez [aut, cre, cph]
Maintainer: Juan Pablo Acuna Gonzalez <22253567@uagro.mx>

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Package nutriNetwork updated to version 0.2.0 with previous version 0.1.2 dated 2023-07-05

Title: Structure Learning with Copula Graphical Model
Description: Statistical tool for learning the structure of direct associations among variables for continuous data, discrete data and mixed discrete-continuous data. The package is based on the copula graphical model in Behrouzi and Wit (2017) <doi:10.1111/rssc.12287>.
Author: Pariya Behrouzi [aut, cre]
Maintainer: Pariya Behrouzi <pariya.behrouzi@gmail.com>

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Package vMF updated to version 0.0.4 with previous version 0.0.3 dated 2024-03-09

Title: Sampling from the von Mises-Fisher Distribution
Description: Provides fast sampling from von Mises-Fisher distribution using the method proposed by Andrew T.A Wood (1994) <doi:10.1080/03610919408813161>.
Author: Aristide Houndetoungan [cre, aut]
Maintainer: Aristide Houndetoungan <ahoundetoungan@ecn.ulaval.ca>

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Package covr updated to version 3.6.5 with previous version 3.6.4 dated 2023-11-09

Title: Test Coverage for Packages
Description: Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <https://about.codecov.io> or 'Coveralls' <https://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.
Author: Jim Hester [aut, cre], Willem Ligtenberg [ctb], Kirill Mueller [ctb], Henrik Bengtsson [ctb], Steve Peak [ctb], Kirill Sevastyanenko [ctb], Jon Clayden [ctb], Robert Flight [ctb], Eric Brown [ctb], Brodie Gaslam [ctb], Will Beasley [ctb], Robert Krzyz [...truncated...]
Maintainer: Jim Hester <james.f.hester@gmail.com>

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Package CDatanet updated to version 2.2.2 with previous version 2.2.1 dated 2025-01-07

Title: Econometrics of Network Data
Description: Simulating and estimating peer effect models and network formation models. The class of peer effect models includes linear-in-means models (Lee, 2004; <doi:10.1111/j.1468-0262.2004.00558.x>), Tobit models (Xu and Lee, 2015; <doi:10.1016/j.jeconom.2015.05.004>), and discrete numerical data models (Houndetoungan, 2025; <doi:10.48550/arXiv.2405.17290>). The network formation models include pair-wise regressions with degree heterogeneity (Graham, 2017; <doi:10.3982/ECTA12679>) and exponential random graph models (Mele, 2017; <doi:10.3982/ECTA10400>).
Author: Aristide Houndetoungan [cre, aut]
Maintainer: Aristide Houndetoungan <ahoundetoungan@ecn.ulaval.ca>

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Package adcontabil updated to version 1.1.8 with previous version 1.1.0 dated 2025-11-08

Title: Accounting Analysis
Description: Provides methods for processing corporate balance sheets with a focus on the Brazilian reporting format. Includes data standardization, classification by accounting categories, and aggregation of values. Supports accounting and financial analyses of companies, improving efficiency and ensuring reproducibility of empirical studies.
Author: Lissandro Costa de Sousa [cre, aut], Francisco Gildemir Ferreira da Silva [ths, aut]
Maintainer: Lissandro Costa de Sousa <lisandrosousa54@gmail.com>

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Package broadcast updated to version 0.1.6.1 with previous version 0.1.5.3 dated 2025-10-10

Title: Broadcasted Array Operations Like 'NumPy'
Description: Implements efficient 'NumPy'-like broadcasted operations for atomic and recursive arrays. In the context of operations involving 2 (or more) arrays, “broadcasting” refers to efficiently recycling array dimensions, without making copies. Besides linking to 'Rcpp', 'broadcast' does not use any external libraries in any way; 'broadcast' was essentially made from scratch and can be installed out-of-the-box. The implementations available in 'broadcast' include, but are not limited to, the following. 1) Broadcasted element-wise operations on any 2 arrays; they support a large set of relational, arithmetic, Boolean, string, and bit-wise operations. 2) A faster, more memory efficient, and broadcasted abind-like function, for binding arrays along an arbitrary dimension. 3) Broadcasted ifelse-like, and apply-like functions. 4) Casting functions, that cast subset-groups of an array to a new dimension, cast nested lists to dimensional lists, and vice-versa. 5) A few linear algebra functions for st [...truncated...]
Author: Tony Wilkes [aut, cre, cph]
Maintainer: Tony Wilkes <tony_a_wilkes@outlook.com>

Diff between broadcast versions 0.1.5.3 dated 2025-10-10 and 0.1.6.1 dated 2025-11-09

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 broadcast-0.1.6.1/broadcast/DESCRIPTION                                                    |    9 
 broadcast-0.1.6.1/broadcast/MD5                                                            |  297 +-
 broadcast-0.1.6.1/broadcast/NAMESPACE                                                      |   10 
 broadcast-0.1.6.1/broadcast/NEWS.md                                                        |   20 
 broadcast-0.1.6.1/broadcast/R/RcppExports.R                                                |  220 +-
 broadcast-0.1.6.1/broadcast/R/aaa00_broadcast_help.R                                       |    7 
 broadcast-0.1.6.1/broadcast/R/aaa02_broadcast_casting.R                                    |   10 
 broadcast-0.1.6.1/broadcast/R/aaa03_broadcast_bind.R                                       |   20 
 broadcast-0.1.6.1/broadcast/R/aaa04_broadcast_linearalgebra.R                              |    2 
 broadcast-0.1.6.1/broadcast/R/acast.R                                                      |   45 
 broadcast-0.1.6.1/broadcast/R/bc_b.R                                                       |   16 
 broadcast-0.1.6.1/broadcast/R/bc_bit.R                                                     |   16 
 broadcast-0.1.6.1/broadcast/R/bc_cplx.R                                                    |   16 
 broadcast-0.1.6.1/broadcast/R/bc_d.R                                                       |   49 
 broadcast-0.1.6.1/broadcast/R/bc_i.R                                                       |   40 
 broadcast-0.1.6.1/broadcast/R/bc_ifelse.R                                                  |   16 
 broadcast-0.1.6.1/broadcast/R/bc_list.R                                                    |   15 
 broadcast-0.1.6.1/broadcast/R/bc_raw.R                                                     |    8 
 broadcast-0.1.6.1/broadcast/R/bc_str.R                                                     |   30 
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 broadcast-0.1.6.1/broadcast/R/bcapply.R                                                    |   12 
 broadcast-0.1.6.1/broadcast/R/bind_array.R                                                 |   18 
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 broadcast-0.1.6.1/broadcast/R/broadcaster.R                                                |   85 
 broadcast-0.1.6.1/broadcast/R/cast_dim2hier.R                                              |    6 
 broadcast-0.1.6.1/broadcast/R/cast_hier2dim.R                                              |   30 
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 broadcast-0.1.6.1/broadcast/R/dropnests.R                                                  |    2 
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 broadcast-0.1.6.1/broadcast/R/internal_opfuns.R                                            |    2 
 broadcast-0.1.6.1/broadcast/R/internal_typefuns.R                                          |   38 
 broadcast-0.1.6.1/broadcast/R/linear_algebra_stats.R                                       |    3 
 broadcast-0.1.6.1/broadcast/R/meta_functions.R                                             |  142 +
 broadcast-0.1.6.1/broadcast/R/ndim.R                                                       |    2 
 broadcast-0.1.6.1/broadcast/R/overload_ops_math.R                                          |    6 
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 broadcast-0.1.6.1/broadcast/inst/tinytest/bc_b/test-bc_b.R                                 | 1026 +---------
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 broadcast-0.1.6.1/broadcast/inst/tinytest/bc_num/test-bc_d_math.R                          |  662 ------
 broadcast-0.1.6.1/broadcast/inst/tinytest/bc_num/test-bc_i_math.R                          |  791 -------
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 broadcast-0.1.6.1/broadcast/inst/tinytest/binary_names/test-ortho.R                        |   39 
 broadcast-0.1.6.1/broadcast/inst/tinytest/binary_names/test-vector.R                       |   37 
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 broadcast-0.1.6.1/broadcast/inst/tinytest/test-binary_attr_broadcaster.R                   |   28 
 broadcast-0.1.6.1/broadcast/inst/tinytest/test-binary_errors.R                             |  109 -
 broadcast-0.1.6.1/broadcast/inst/tinytest/test-binary_zerolen.R                            |   24 
 broadcast-0.1.6.1/broadcast/inst/tinytest/test-ellipsis.R                                  |   17 
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 broadcast-0.1.6.1/broadcast/src/RcppExports.cpp                                            |  687 +++++-
 broadcast-0.1.6.1/broadcast/src/broadcast.h                                                |  808 +++----
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 broadcast-0.1.6.1/broadcast/src/rcpp_bcRel_cplx.cpp                                        |   34 
 broadcast-0.1.6.1/broadcast/src/rcpp_bcRel_dec.cpp                                         |   30 
 broadcast-0.1.6.1/broadcast/src/rcpp_bcRel_int.cpp                                         |   31 
 broadcast-0.1.6.1/broadcast/src/rcpp_bcRel_raw.cpp                                         |   30 
 broadcast-0.1.6.1/broadcast/src/rcpp_bcRel_str.cpp                                         |   34 
 broadcast-0.1.6.1/broadcast/src/rcpp_bc_b.cpp                                              |  184 +
 broadcast-0.1.6.1/broadcast/src/rcpp_bc_bind.cpp                                           |   62 
 broadcast-0.1.6.1/broadcast/src/rcpp_bc_bit.cpp                                            |   48 
 broadcast-0.1.6.1/broadcast/src/rcpp_bc_cplx.cpp                                           |   44 
 broadcast-0.1.6.1/broadcast/src/rcpp_bc_dec.cpp                                            |   30 
 broadcast-0.1.6.1/broadcast/src/rcpp_bc_ifelse.cpp                                         |   38 
 broadcast-0.1.6.1/broadcast/src/rcpp_bc_int.cpp                                            |   30 
 broadcast-0.1.6.1/broadcast/src/rcpp_bc_list.cpp                                           |   29 
 broadcast-0.1.6.1/broadcast/src/rcpp_bc_raw.cpp                                            |   30 
 broadcast-0.1.6.1/broadcast/src/rcpp_bc_str.cpp                                            |   32 
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 broadcast-0.1.6.1/broadcast/src/rcpp_bcapply.cpp                                           |   21 
 broadcast-0.1.6.1/broadcast/src/rcpp_bindhelpers.cpp                                       |   81 
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 broadcast-0.1.6.1/broadcast/src/rcpp_set_attr.cpp                                          |   44 
 broadcast-0.1.6.1/broadcast/tests/tinytest.R                                               |   12 
 173 files changed, 3769 insertions(+), 6105 deletions(-)

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Package nortsTest updated to version 1.1.3 with previous version 1.1.2 dated 2024-01-25

Title: Assessing Normality of Stationary Process
Description: Despite that several tests for normality in stationary processes have been proposed in the literature, consistent implementations of these tests in programming languages are limited. Seven normality test are implemented. The asymptotic Lobato & Velasco's, asymptotic Epps, Psaradakis and Vávra, Lobato & Velasco's and Epps sieve bootstrap approximations, El bouch et al., and the random projections tests for univariate stationary process. Some other diagnostics such as, unit root test for stationarity, seasonal tests for seasonality, and arch effect test for volatility; are also performed. Additionally, the El bouch test performs normality tests for bivariate time series. The package also offers residual diagnostic for linear time series models developed in several packages.
Author: Asael Alonzo Matamoros [aut, cre], Alicia Nieto-Reyes [aut], Rob Hyndman [ctb], Mitchell O'Hara-Wild [ctb], Trapletti A. [ctb]
Maintainer: Asael Alonzo Matamoros <asael.alonzo@gmail.com>

Diff between nortsTest versions 1.1.2 dated 2024-01-25 and 1.1.3 dated 2025-11-09

 DESCRIPTION                |   10 ++---
 MD5                        |   17 +++++----
 NEWS.md                    |   15 ++++++++
 R/autoplot.R               |    4 +-
 R/epps_test.R              |   21 +++++++++---
 R/nortsTest-package.R      |   60 +++++++++++++++-------------------
 README.md                  |    2 -
 man/autoplot.ts.Rd         |    4 +-
 man/nortsTest-package.Rd   |   78 ++++++++++++++++++++++++++++-----------------
 tests/testthat/test-epps.r |only
 10 files changed, 126 insertions(+), 85 deletions(-)

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New package tsg with initial version 0.1.0
Package: tsg
Title: Generate Publication-Ready Statistical Tables
Version: 0.1.0
Description: A collection of functions for generating frequency tables and cross-tabulations of categorical variables. The resulting tables can be exported to various formats (Excel, PDF, HTML, etc.) with extensive formatting and layout customization options.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: haven, openxlsx, fs, forcats, purrr, tidyr, glue, jsonlite (>= 2.0.0), yaml (>= 2.3.10), dplyr (>= 1.1.0), stringr (>= 1.4.0), rlang (>= 1.0.2)
Suggests: testthat (>= 3.0.0), utils (>= 4.0.0), cli, devtools, knitr, rmarkdown, tibble, withr
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
URL: https://yng-me.github.io/tsg/, https://github.com/yng-me/tsg
BugReports: https://github.com/yng-me/tsg/issues
NeedsCompilation: no
Packaged: 2025-11-05 15:55:18 UTC; bhasabdulsamad
Repository: CRAN
Date/Publication: 2025-11-09 16:30:02 UTC

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New package shinyOAuth with initial version 0.1.1
Package: shinyOAuth
Title: Provider-Agnostic OAuth Authentication for 'shiny' Applications
Version: 0.1.1
Description: Provides a simple, configurable, provider-agnostic 'OAuth 2.0' and 'OpenID Connect' (OIDC) authentication framework for 'shiny' applications using 'S7' classes. Defines providers, clients, and tokens, as well as various supporting functions and a 'shiny' module. Features include cross-site request forgery (CSRF) protection, state encryption, 'Proof Key for Code Exchange' (PKCE) handling, validation of OIDC identity tokens (nonces, signatures, claims), automatic user info retrieval, asynchronous flows, and hooks for audit logging.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: S7 (>= 0.2.0), R6 (>= 2.0), rlang (>= 1.0.0), shiny (>= 1.7.0), jsonlite (>= 1.0), openssl (>= 2.0.0), httr2 (>= 1.0.0), cachem (>= 1.1.0), jose (>= 1.2.0), cli (>= 3.0.0), htmltools (>= 0.5.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, webfakes, promises, future, withr, later, sodium, shinytest2, xml2
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
URL: https://github.com/lukakoning/shinyOAuth, https://lukakoning.github.io/shinyOAuth/
BugReports: https://github.com/lukakoning/shinyOAuth/issues
NeedsCompilation: no
Packaged: 2025-11-05 15:15:20 UTC; dhrko
Author: Luka Koning [aut, cre, cph]
Maintainer: Luka Koning <koningluka@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-09 16:10:02 UTC

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New package shinyfa with initial version 0.0.1
Package: shinyfa
Title: Analyze the File Contents of 'shiny' Directories
Version: 0.0.1
Description: Provides tools for analyzing and understanding the file contents of large 'shiny' application directories. The package extracts key information about render functions, reactive functions, and their inputs from app files, organizing them into structured data frames for easy reference. This streamlines the onboarding process for new contributors and helps identify areas for optimization in complex 'shiny' codebases with multiple files and sourcing chains.
URL: https://github.com/dalyanalytics/shinyfa, https://dalyanalytics.github.io/shinyfa/
BugReports: https://github.com/dalyanalytics/shinyfa/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stringr
Suggests: dplyr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-05 15:49:33 UTC; jasminedaly
Author: Jasmine Daly [aut, cre]
Maintainer: Jasmine Daly <jasmine.dumas@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-09 16:30:08 UTC

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New package phscs with initial version 0.1.0
Package: phscs
Title: Philippine Statistical Classification Systems
Version: 0.1.0
Description: A unified interface to access and manipulate various Philippine statistical classifications. It allows users to retrieve, filter, and harmonize classification data, making it easier to work with Philippine statistical data in R.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>
License: MIT + file LICENSE
Encoding: UTF-8
Imports: purrr (>= 1.0.2), jsonlite (>= 1.8.8), dplyr (>= 1.1.0), tidyr (>= 1.3.1), stringr (>= 1.4.0)
Suggests: rlang (>= 1.0.2), testthat (>= 3.0.0), utils (>= 4.0.0), cli, gt, rmarkdown, knitr
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
BugReports: https://github.com/yng-me/phscs/issues
URL: https://yng-me.github.io/phscs/, https://github.com/yng-me/phscs
NeedsCompilation: no
Packaged: 2025-11-05 17:03:05 UTC; bhasabdulsamad
Repository: CRAN
Date/Publication: 2025-11-09 16:40:02 UTC

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New package npANCOVA with initial version 0.1.0
Package: npANCOVA
Title: Nonparametric ANCOVA Methods
Version: 0.1.0
Date: 2025-11-04
Description: Nonparametric methods for analysis of covariance (ANCOVA) are distribution-free and provide a flexible statistical framework for situations where the assumptions of parametric ANCOVA are violated or when the response variable is ordinal. This package implements several well-known nonparametric ANCOVA procedures, including Quade, Puri and Sen, McSweeney and Porter, Burnett and Barr, Hettmansperger and McKean, Shirley, and Puri-Sen-Harwell-Serlin. The package provides user-friendly functions to apply these methods in practice.
License: GPL-3
URL: https://github.com/Mina7Jahangiri7/npANCOVA
BugReports: https://github.com/Mina7Jahangiri7/npANCOVA/issues
Depends: R (>= 4.0)
Imports: stats
Encoding: UTF-8
NeedsCompilation: no
Author: Mina Jahangiri [aut, cre] , Ali Taghavi Rad [aut] , Keith Goldfeld [aut] , Anoshirvan Kazemnejad [ctb] , Shayan Mostafaei [ctb]
Maintainer: Mina Jahangiri <minajahangiri984@gmail.com>
Packaged: 2025-11-05 15:43:38 UTC; USER
Repository: CRAN
Date/Publication: 2025-11-09 16:30:13 UTC

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New package funviewR with initial version 0.1.0
Package: funviewR
Title: Visualize Function Call Dependencies in R Source Code
Version: 0.1.0
Description: Provides tools to analyze R source code and detect function definitions and their internal dependencies across multiple files. Creates interactive network visualizations using 'visNetwork' to display function call relationships, with detailed tooltips showing function arguments, return values, and documentation. Supports both individual files and directory-based analysis with automatic file detection. Useful for understanding code structure, identifying dependencies, and documenting R projects.
License: GPL-3
URL: https://github.com/deamonpog/funviewR
BugReports: https://github.com/deamonpog/funviewR/issues
Encoding: UTF-8
Imports: codetools, visNetwork, igraph, htmltools, magrittr
Suggests: htmlwidgets
NeedsCompilation: no
Packaged: 2025-11-05 17:13:01 UTC; pog66
Author: Chathura Jayalath [aut, cre]
Maintainer: Chathura Jayalath <acj.chathura@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-09 16:40:07 UTC

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New package ffm with initial version 0.1.1
Package: ffm
Title: Download Official Spatial Data from Germany
Version: 0.1.1
Description: Provides quick and easy access to official spatial data from Germany’s Federal Agency for Cartography and Geodesy (BKG) <https://gdz.bkg.bund.de/>. Interfaces various web feature services (WFS) and download servers. Allows retrieval, caching and filtering with a wide range of open geodata products, including administrative or non-administrative boundaries, land cover, elevation models, geographic names, and points of interest covering Germany. Can be particularly useful for linking regional statistics to their spatial representations and streamlining workflows that involve spatial data of Germany.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: cli, rlang, zip, httr2, xml2, sf
Suggests: tibble, terra, arrow, ggplot2, knitr, rmarkdown, testthat (>= 3.2.2)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-05 15:00:25 UTC; PC
Author: Jonas Lieth [aut, cre, cph]
Maintainer: Jonas Lieth <jonas.lieth@gesis.org>
Repository: CRAN
Date/Publication: 2025-11-09 16:10:09 UTC

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Package SVEMnet updated to version 2.5.4 with previous version 2.3.1 dated 2025-10-13

Title: Self-Validated Ensemble Models with Lasso and Relaxed Elastic Net Regression
Description: Implements Self-Validated Ensemble Models (SVEM; Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) using elastic net regression via 'glmnet' (Friedman et al. (2010) <doi:10.18637/jss.v033.i01>). SVEM averages predictions from multiple models fitted to fractionally weighted bootstraps of the data, tuned with anti-correlated validation weights. Supports Gaussian and binomial responses. Also implements the randomized permutation whole-model test for SVEM with Gaussian responses (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>). Some parts of the package code were drafted with assistance from generative AI tools.
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

Diff between SVEMnet versions 2.3.1 dated 2025-10-13 and 2.5.4 dated 2025-11-09

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Package sphunif updated to version 1.4.3 with previous version 1.4.2 dated 2025-08-18

Title: Uniformity Tests on the Circle, Sphere, and Hypersphere
Description: Implementation of uniformity tests on the circle and (hyper)sphere. The main function of the package is unif_test(), which conveniently collects more than 35 tests for assessing uniformity on S^{p-1} = {x in R^p : ||x|| = 1}, p >= 2. The test statistics are implemented in the unif_stat() function, which allows computing several statistics for different samples within a single call, thus facilitating Monte Carlo experiments. Furthermore, the unif_stat_MC() function allows parallelizing them in a simple way. The asymptotic null distributions of the statistics are available through the function unif_stat_distr(). The core of 'sphunif' is coded in C++ by relying on the 'Rcpp' package. The package also provides several novel datasets and gives the replicability for the data applications/simulations in García-Portugués et al. (2021) <doi:10.1007/978-3-030-69944-4_12>, García-Portugués et al. (2023) <doi:10.3150/21-BEJ1454>, Fernández-de-Marcos and García-Portugués (2024) <d [...truncated...]
Author: Eduardo Garcia-Portugues [aut, cre] , Thomas Verdebout [aut] , Alberto Fernandez-de-Marcos [ctb], Paula Navarro [ctb]
Maintainer: Eduardo Garcia-Portugues <edgarcia@est-econ.uc3m.es>

Diff between sphunif versions 1.4.2 dated 2025-08-18 and 1.4.3 dated 2025-11-09

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Package longsurr updated to version 1.1 with previous version 1.0 dated 2022-09-29

Title: Longitudinal Surrogate Marker Analysis
Description: Assess the proportion of treatment effect explained by a longitudinal surrogate marker as described in Agniel D and Parast L (2021) <doi:10.1111/biom.13310>; and estimate the treatment effect on a longitudinal surrogate marker as described in Wang et al. (2025) <doi:10.1093/biomtc/ujaf104>. A tutorial for this package can be found at <https://www.laylaparast.com/longsurr>.
Author: Layla Parast [aut, cre], Denis Agniel [aut], Xuan Wang [aut]
Maintainer: Layla Parast <parast@austin.utexas.edu>

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Package metaquant updated to version 0.1.3 with previous version 0.1.2 dated 2025-08-21

Title: Meta-Analysis of Quantiles and Functions of Quantiles
Description: Implements a novel density-based approach for estimating unknown parameters, distribution visualisations and meta-analyses of quantiles and ther functions. A detailed vignettes with example datasets and code to prepare data and analyses is available at <https://bookdown.org/a2delivera/metaquant/>. The methods are described in the pre-print by De Livera, Prendergast and Kumaranathunga (2024, <doi:10.48550/arXiv.2411.10971>).
Author: Udara Kumaranathunga [aut, cre], Alysha De Livera [aut], Luke Prendergast [aut]
Maintainer: Udara Kumaranathunga <U.Kumaranathunga@latrobe.edu.au>

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Package neatR readmission to version 0.2.1 with previous version 0.2.0 dated 2023-03-23

Title: Neat Data for Presentation
Description: Utilities for unambiguous, neat and legible representation of data (date, time stamp, numbers, percentages and strings) for presentation of analysis , aiming for elegance and consistency. The purpose of this package is to format data, that is better for presentation and any automation jobs that reports numbers.
Author: Shivaprakash Suresh [aut, cre, cph]
Maintainer: Shivaprakash Suresh <dswithai@gmail.com>

This is a re-admission after prior archival of version 0.2.0 dated 2023-03-23

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