Fri, 06 Mar 2026

Package WIPF updated to version 0.1.0-4 with previous version 0.1.0-3 dated 2026-01-07

Title: Weighted Iterative Proportional Fitting
Description: Implementation of the weighted iterative proportional fitting (WIPF) procedure for updating/adjusting a N-dimensional array given a weight structure and some target marginals. Acknowledgements: The author wish to thank Conselleria de Educación, Cultura, Universidades y Empleo (grant CIAICO/2023/031), Ministerio de Ciencia, Innovación y Universidades (grant PID2021-128228NB-I00) and Fundación Mapfre (grant 'Modelización espacial e intra-anual de la mortalidad en España. Una herramienta automática para el cálculo de productos de vida') for supporting this research.
Author: Jose M. Pavia [aut, cre]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>

Diff between WIPF versions 0.1.0-3 dated 2026-01-07 and 0.1.0-4 dated 2026-03-06

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New package ZeroOneDists with initial version 1.0.0
Package: ZeroOneDists
Title: One Zero Statistical Distributions
Version: 1.0.0
Description: Implementation of new statistical distributions in (0, 1) interval. Each distribution includes the traditional functions as well as an additional function called the family function, which can be used to estimate parameters using Generalized Additive Models for Location, Scale and Shape, GAMLSS by Rigby & Stasinopoulos (2005) <doi:10.1111/j.1467-9876.2005.00510.x>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/fhernanb/ZeroOneDists
BugReports: https://github.com/fhernanb/ZeroOneDists/issues
Imports: gamlss, gamlss.dist
NeedsCompilation: no
Packaged: 2026-03-03 12:36:25 UTC; fhern
Author: Freddy Hernandez-Barajas [aut, cre] , Olga Usuga-Manco [aut]
Maintainer: Freddy Hernandez-Barajas <fhernanb@unal.edu.co>
Repository: CRAN
Date/Publication: 2026-03-06 18:10:07 UTC

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New package whalestrike with initial version 0.6.2
Package: whalestrike
Title: Simulate Whale Ship Strikes
Version: 0.6.2
Maintainer: Dan Kelley <dan.kelley@dal.ca>
Description: Provides tools for simulating the biophysical effects of vessel-strikes on whales. The aim is to support the evaluation of marine policies limiting ship speeds through regions in which whales reside. This is important because ship strikes are a major source of lethality for several whale species, including the critically endangered North Atlantic right whale. In this analysis, whales are modelled with a four-layer system comprising skin, blubber, sub-layer (muscle or organ) and bone. Reasonable values for the material properties of these layers, along with other factors such as whale surface area and mass, are provided for a variety of whale species. Similarly, key values are provided for several ship types. The collision is modelled according to Newtonian dynamics, with stresses and strains within the whale layers being simulated over time. The simulation results are analyzed in the context of whale-strike data, to develop a Lethality Index for the whale in the modelled collision. F [...truncated...]
Depends: bslib, deSolve, R (>= 3.5.0), shiny
Suggests: knitr, rmarkdown, testthat
License: GPL (>= 3)
Encoding: UTF-8
BugReports: https://github.com/dankelley/whalestrike/issues
URL: https://dankelley.github.io/whalestrike/
LazyData: true
BuildVignettes: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-03 13:25:51 UTC; kelley
Author: Dan Kelley [aut, cre] , James Vlasic [rtm] , Sean Brilliant [rtm] , Alexandra Mayette [rtm]
Repository: CRAN
Date/Publication: 2026-03-06 18:20:02 UTC

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New package videogameinsightsR with initial version 0.1.1
Package: videogameinsightsR
Title: Interface to 'Video Game Insights' API for Gaming Market Analytics
Version: 0.1.1
Author: Phillip Black [aut, cre]
Maintainer: Phillip Black <pblack@gameeconomistconsulting.com>
Description: Interface to the 'Video Game Insights' API <https://app.sensortower.com/vgi/> for video game market analytics and intelligence. Provides functions to retrieve game metadata, developer and publisher information, player statistics (concurrent players, daily and monthly active users), revenue and sales data, review analytics, wish-list tracking, and platform-specific rankings. The package includes data processing utilities to analyze player demographics, track pricing history, calculate player overlap between games, and monitor market trends. Supports analysis across multiple gaming platforms including 'Steam', 'PlayStation', 'Xbox', and 'Nintendo' with unified data structures for cross-platform comparison.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, httr2, jsonlite, digest, rlang, tibble, tidyr, purrr, rvest, stats, magrittr
Suggests: dotenv, ggplot2, gt, httptest2, knitr, rmarkdown, scales, testthat, withr
URL: https://github.com/econosopher/videogameinsightsR
BugReports: https://github.com/econosopher/videogameinsightsR/issues
NeedsCompilation: no
Packaged: 2026-03-03 14:28:56 UTC; phillip
Repository: CRAN
Date/Publication: 2026-03-06 18:20:09 UTC

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New package multiobjectiveMDP with initial version 1.0.0
Package: multiobjectiveMDP
Title: Solution Methods for Multi-Objective Markov Decision Processes
Version: 1.0.0
Description: Compendium of the most representative algorithms in print---vector-valued dynamic programming, linear programming, policy iteration, the weighting factor approach---for solving multi-objective Markov decision processes, with or without reward discount, over a finite or infinite horizon. Mifrani, A. (2024) <doi:10.1007/s10479-024-06439-x>; Mifrani, A. & Noll, D. <doi:10.48550/arXiv.2502.13697>; Wakuta, K. (1995) <doi:10.1016/0304-4149(94)00064-Z>.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, linprog, lintools, nsga2R, pracma, prodlim, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-03 15:58:11 UTC; amifrani
Author: Anas Mifrani [aut, cre, cph]
Maintainer: Anas Mifrani <anas.mifrani@math.univ-toulouse.fr>
Repository: CRAN
Date/Publication: 2026-03-06 18:40:02 UTC

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New package maplamina with initial version 0.1.0
Package: maplamina
Title: High-Performance 'WebGL' Mapping Widgets for R
Version: 0.1.0
Description: Creates interactive maps using 'MapLibre GL' and 'deck.gl' via 'htmlwidgets'. Provides GPU-accelerated layers for points, lines and polygons, plus linked user interface components such as filters, views and summary cards for exploratory analysis and production dashboards.
License: MIT + file LICENSE
URL: https://github.com/jhumbl/maplamina
BugReports: https://github.com/jhumbl/maplamina/issues
Depends: R (>= 4.1.0)
Imports: htmlwidgets, digest, base64enc, sf
Suggests: testthat (>= 3.0.0), jsonlite
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-03 09:58:25 UTC; jhumb
Author: Jack Humble [aut, cre]
Maintainer: Jack Humble <jackhumble.dev@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-06 18:10:02 UTC

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New package LISTO with initial version 0.6.5
Package: LISTO
Title: Performing Comprehensive Overlap Assessments
Version: 0.6.5
Description: The implementation of a statistical framework for performing overlap assessments on lists comprising sets of strings (such as lists of gene sets) described in Stoica (2023) <https://ora.ox.ac.uk/objects/uuid:b0847284-a02f-47ee-88e3-a3c4e0cdb8b1>. It can assess overlaps of pair of sets of strings selected from the same universe or from different universes, and overlaps of triplets of sets of strings selected from the same universe. Designed for single-cell RNA-sequencing data analysis applications, but suitable for other purposes as well.
License: MIT + file LICENSE
Imports: methods, parallel, primes, statisfactory, stats
Encoding: UTF-8
Suggests: qs2, scRNAseq, scuttle, Seurat, testthat (>= 3.0.0), withr
URL: https://github.com/andrei-stoica26/LISTO
BugReports: https://github.com/andrei-stoica26/LISTO/issues
NeedsCompilation: no
Packaged: 2026-03-03 11:31:08 UTC; Andrei
Author: Andrei-Florian Stoica [aut, cre]
Maintainer: Andrei-Florian Stoica <andreistoica@foxmail.com>
Repository: CRAN
Date/Publication: 2026-03-06 18:10:12 UTC

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Package rucrdtw updated to version 0.1.7 with previous version 0.1.6 dated 2023-12-11

Title: R Bindings for the UCR Suite
Description: R bindings for functions from the UCR Suite by Rakthanmanon et al. (2012) <DOI:10.1145/2339530.2339576>, which enables ultrafast subsequence search for a best match under Dynamic Time Warping and Euclidean Distance.
Author: Philipp Boersch-Supan [aut, cre] , Thanawin Rakthanmanon [aut], Bilson Campana [aut], Abdullah Mueen [aut], Gustavo Batista [aut], Eamonn Keogh [aut]
Maintainer: Philipp Boersch-Supan <pboesu@gmail.com>

Diff between rucrdtw versions 0.1.6 dated 2023-12-11 and 0.1.7 dated 2026-03-06

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Package partykit updated to version 1.2-26 with previous version 1.2-25 dated 2026-02-07

Title: A Toolkit for Recursive Partytioning
Description: A toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure can be used for reading/coercing tree models from different sources ('rpart', 'RWeka', 'PMML') yielding objects that share functionality for print()/plot()/predict() methods. Furthermore, new and improved reimplementations of conditional inference trees (ctree()) and model-based recursive partitioning (mob()) from the 'party' package are provided based on the new infrastructure. A description of this package was published by Hothorn and Zeileis (2015) <https://jmlr.org/papers/v16/hothorn15a.html>.
Author: Torsten Hothorn [aut, cre] , Heidi Seibold [ctb] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between partykit versions 1.2-25 dated 2026-02-07 and 1.2-26 dated 2026-03-06

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Package npreg updated to version 1.1.1 with previous version 1.1.0 dated 2024-03-29

Title: Nonparametric Regression via Smoothing Splines
Description: Multiple and generalized nonparametric regression using smoothing spline ANOVA models and generalized additive models, as described in Helwig (2020) <doi:10.4135/9781526421036885885>. Includes support for Gaussian and non-Gaussian responses, smoothers for multiple types of predictors (including random intercepts), interactions between smoothers of mixed types, eight different methods for smoothing parameter selection, and flexible tools for diagnostics, inference, and prediction.
Author: Nathaniel E. Helwig [aut, cre]
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

Diff between npreg versions 1.1.0 dated 2024-03-29 and 1.1.1 dated 2026-03-06

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Package mlt updated to version 1.7-4 with previous version 1.7-3 dated 2025-12-12

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

Diff between mlt versions 1.7-3 dated 2025-12-12 and 1.7-4 dated 2026-03-06

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Package mascarade updated to version 0.3.2 with previous version 0.3.1 dated 2026-02-13

Title: Generating Cluster Masks for Single-Cell Dimensional Reduction Plots
Description: Implements a procedure to automatically generate 2D masks for clusters on dimensional reduction plots from methods like t-SNE (t-distributed stochastic neighbor embedding) or UMAP (uniform manifold approximation and projection), with a focus on single-cell RNA-sequencing data.
Author: Alexey Sergushichev [aut, cre]
Maintainer: Alexey Sergushichev <alsergbox@gmail.com>

Diff between mascarade versions 0.3.1 dated 2026-02-13 and 0.3.2 dated 2026-03-06

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Package libcoin updated to version 1.0-11 with previous version 1.0-10 dated 2023-09-27

Title: Linear Test Statistics for Permutation Inference
Description: Basic infrastructure for linear test statistics and permutation inference in the framework of Strasser and Weber (1999) <https://epub.wu.ac.at/102/>. This package must not be used by end-users. CRAN package 'coin' implements all user interfaces and is ready to be used by anyone.
Author: Torsten Hothorn [aut, cre] , Henric Winell [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between libcoin versions 1.0-10 dated 2023-09-27 and 1.0-11 dated 2026-03-06

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New package ggwidth with initial version 0.1.0
Package: ggwidth
Title: Standardise 'ggplot2' Geom Width
Version: 0.1.0
Description: Standardise the width in 'ggplot2' geoms to appear visually consistent across plots with different numbers of categories, panel dimensions, and orientations.
License: MIT + file LICENSE
URL: https://github.com/davidhodge931/ggwidth, https://davidhodge931.github.io/ggwidth/
BugReports: https://github.com/davidhodge931/ggwidth/issues
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 4.0.0)
Suggests: dplyr, forcats, patchwork, tibble
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-03-03 08:51:23 UTC; david
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-06 18:00:02 UTC

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New package brar with initial version 0.1
Package: brar
Version: 0.1
Date: 2026-03-03
Author: Samuel Pawel [aut, cre]
Maintainer: Samuel Pawel <samuel.pawel@uzh.ch>
Title: Null Hypothesis Bayesian Response-Adaptive Randomization
Description: Implements Bayesian response-adaptive randomization methods based on Bayesian hypothesis testing for multi-arm settings (Pawel and Held, 2025, <doi:10.48550/arXiv.2510.01734>).
License: GPL-3
Encoding: UTF-8
Imports: mvtnorm
Suggests: roxygen2, tinytest
NeedsCompilation: no
URL: https://github.com/SamCH93/brar
BugReports: https://github.com/SamCH93/brar/issues
Packaged: 2026-03-03 09:26:06 UTC; sam
Repository: CRAN
Date/Publication: 2026-03-06 18:00:08 UTC

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Package basefun updated to version 1.2-6 with previous version 1.2-5 dated 2025-10-05

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

Diff between basefun versions 1.2-5 dated 2025-10-05 and 1.2-6 dated 2026-03-06

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Package yamlet updated to version 1.3.3 with previous version 1.3.2 dated 2026-01-16

Title: Versatile Curation of Table Metadata
Description: A YAML-based mechanism for working with table metadata. Supports compact syntax for creating, modifying, viewing, exporting, importing, displaying, and plotting metadata coded as column attributes. The 'yamlet' dialect is valid 'YAML' with defaults and conventions chosen to improve readability. See ?yamlet, ?decorate, ?modify, ?io_csv, and ?ggplot.decorated.
Author: Tim Bergsma [aut, cre]
Maintainer: Tim Bergsma <bergsmat@gmail.com>

Diff between yamlet versions 1.3.2 dated 2026-01-16 and 1.3.3 dated 2026-03-06

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Package nestedLogit updated to version 0.4.0 with previous version 0.3.4 dated 2026-02-01

Title: Nested Dichotomy Logistic Regression Models
Description: Provides functions for specifying and fitting nested dichotomy logistic regression models for a multi-category response and methods for summarising and plotting those models. Nested dichotomies are statistically independent, and hence provide an additive decomposition of tests for the overall 'polytomous' response. When the dichotomies make sense substantively, this method can be a simpler alternative to the standard 'multinomial' logistic model which compares response categories to a reference level. See: J. Fox (2016), "Applied Regression Analysis and Generalized Linear Models", 3rd Ed., ISBN 1452205663.
Author: John Fox [aut] , Michael Friendly [aut, cre] , Achim Zeileis [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

Diff between nestedLogit versions 0.3.4 dated 2026-02-01 and 0.4.0 dated 2026-03-06

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Package BayesChange updated to version 2.3.0 with previous version 2.2.0 dated 2026-01-14

Title: Bayesian Methods for Change Point Analysis
Description: Performs change point detection on univariate and multivariate time series (Martínez & Mena, 2014, <doi:10.1214/14-BA878> ; Corradin, Danese & Ongaro, 2022, <doi:10.1016/j.ijar.2021.12.019>) and clusters time-dependent data with common change points (Corradin, Danese, KhudaBukhsh & Ongaro, 2026, <doi:10.1007/s11222-025-10756-x>).
Author: Luca Danese [aut, cre, cph] , Riccardo Corradin [aut], Andrea Ongaro [aut]
Maintainer: Luca Danese <l.danese1@campus.unimib.it>

Diff between BayesChange versions 2.2.0 dated 2026-01-14 and 2.3.0 dated 2026-03-06

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Package scaledescr updated to version 0.2.1 with previous version 0.2.0 dated 2026-02-11

Title: Descriptive, Reliability, and Inferential Tables for Psychometric Scales and Demographic Data
Description: Provides functions to format and summarise already computed outputs from commonly used statistical and psychometric functions into compact, single-row tables and simple graphs, with utilities to export results to CSV, Word, and Excel formats. The package does not implement new statistical methods or estimation procedures; instead, it organises and presents results obtained from existing functions such as psych::describe(), psych::alpha(), stats::t.test(), and gtsummary::tbl_summary() to streamline reporting workflows in clinical and psychological research.
Author: Darshankumar Dharaiya [aut, cre]
Maintainer: Darshankumar Dharaiya <dharaiya.darshan@gmail.com>

Diff between scaledescr versions 0.2.0 dated 2026-02-11 and 0.2.1 dated 2026-03-06

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Package ipd updated to version 0.4.0 with previous version 0.1.4 dated 2025-01-07

Title: Inference on Predicted Data
Description: Performs valid statistical inference on predicted data (IPD) using recent methods, where for a subset of the data, the outcomes have been predicted by an algorithm. Provides a wrapper function with specified defaults for the type of model and method to be used for estimation and inference. Further provides methods for tidying and summarizing results. Salerno et al., (2025) <doi:10.1093/bioinformatics/btaf055>.
Author: Stephen Salerno [aut, cre, cph] , Jiacheng Miao [aut], Awan Afiaz [aut], Kentaro Hoffman [aut], Jesse Gronsbell [aut], Jianhui Gao [aut], David Cheng [aut], Anna Neufeld [aut], Qiongshi Lu [aut], Tyler H McCormick [aut], Jeffrey T Leek [aut]
Maintainer: Stephen Salerno <ssalerno@fredhutch.org>

Diff between ipd versions 0.1.4 dated 2025-01-07 and 0.4.0 dated 2026-03-06

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More information about ipd at CRAN
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Package firmmatchr updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-11

Title: Robust Probabilistic Matching for German Company Names
Description: A pipeline for matching messy company name strings against a clean dictionary (e.g., 'Orbis'). Implements a cascading strategy: Exact -> Fuzzy ('zoomerjoin') -> 'FTS5' ('SQLite') -> Rarity Weighted. References: Beniamino Green (2025) <https://beniamino.org/zoomerjoin/>; <https://www.sqlite.org/fts5.html>.
Author: Giulian Etingin-Frati [aut, cre]
Maintainer: Giulian Etingin-Frati <etingin-frati@kof.ethz.ch>

Diff between firmmatchr versions 0.1.2 dated 2026-02-11 and 0.1.3 dated 2026-03-06

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New package WAreg with initial version 0.1.0
Package: WAreg
Title: While-Alive Regression for Composite Endpoints with Cluster-Robust Inference
Version: 0.1.0
Description: Provides estimation and inference for while-alive regression models targeting the while-alive loss rate for composite endpoints that include recurrent events and a terminal event. The implementation supports flexible time-varying covariate effects through user-selected time bases, including B-splines, natural splines, M-splines, step functions, truncated linear bases, interval-local bases, and piecewise polynomials. Inference can be performed using cluster-robust variance estimators for cluster-randomized trials, with subject-level (IID) variance as a special case. The package includes prediction and plotting utilities and K-fold cross-validation for selecting basis and tuning parameters. Methodology is based on Fang et al. (2025) <doi:10.1093/biostatistics/kxaf047>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: dplyr, tidyr, tibble, ggplot2, survival, nleqslv, splines, MASS, magrittr, rlang
Suggests: splines2, testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/fancy575/WAreg
BugReports: https://github.com/fancy575/WAreg/issues
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-02 21:19:15 UTC; xf97
Author: Xi Fang [aut, cre], Hajime Uno [aut], Fan Li [aut]
Maintainer: Xi Fang <x.fang@yale.edu>
Repository: CRAN
Date/Publication: 2026-03-06 13:50:07 UTC

More information about WAreg at CRAN
Permanent link

New package vcfheader with initial version 0.1.0
Package: vcfheader
Title: Fast Genetic Variant Call Format File Header Intelligence and Audit
Version: 0.1.0
License: GPL-3
Language: en-GB
Description: Streams and parses variant call format file headers without reading full files. Provides structured metadata, validation, inference, and HTML reporting. For details on the specifications used see Danecek et al. (2021) <doi:10.1093/gigascience/giab008>.
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), xml2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-02 10:45:05 UTC; akira
Author: Dylan Lawless [aut, cre, cph]
Maintainer: Dylan Lawless <admin@switzerlandomics.ch>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-03-06 13:10:02 UTC

More information about vcfheader at CRAN
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New package robscale with initial version 0.1.1
Package: robscale
Title: Fast Robust Estimation in Very Small Samples
Version: 0.1.1
Description: High-performance C++ implementation (via 'Rcpp') of the robust location and scale M-estimators described in Rousseeuw & Verboven (2002) <doi:10.1016/S0167-9473(02)00078-6> for very small samples. Provides numerically identical results to the 'revss' package with significantly improved performance through sorting networks and compiled iteration loops.
License: MIT + file LICENSE
URL: https://github.com/davdittrich/robscale, https://doi.org/10.5281/zenodo.18828607
BugReports: https://github.com/davdittrich/robscale/issues
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp
Suggests: tinytest, revss, microbenchmark
NeedsCompilation: yes
Packaged: 2026-03-02 17:37:00 UTC; dittrd01
Author: Dennis Alexis Valin Dittrich [aut, cre, cph]
Maintainer: Dennis Alexis Valin Dittrich <davd@economicscience.net>
Repository: CRAN
Date/Publication: 2026-03-06 13:30:02 UTC

More information about robscale at CRAN
Permanent link

Package primarycensored updated to version 1.4.0 with previous version 1.3.0 dated 2025-12-01

Title: Primary Event Censored Distributions
Description: Provides functions for working with primary event censored distributions and 'Stan' implementations for use in Bayesian modeling. Primary event censored distributions are useful for modeling delayed reporting scenarios in epidemiology and other fields (Charniga et al. (2024) <doi:10.48550/arXiv.2405.08841>). It also provides support for arbitrary delay distributions, a range of common primary distributions, and allows for truncation and secondary event censoring to be accounted for (Park et al. (2024) <doi:10.1101/2024.01.12.24301247>). A subset of common distributions also have analytical solutions implemented, allowing for faster computation. In addition, it provides multiple methods for fitting primary event censored distributions to data via optional dependencies.
Author: Sam Abbott [aut, cre, cph] , Sam Brand [aut] , Adam Howes [ctb] , James Mba Azam [aut] , Carl Pearson [aut] , Sebastian Funk [aut] , Kelly Charniga [aut]
Maintainer: Sam Abbott <contact@samabbott.co.uk>

Diff between primarycensored versions 1.3.0 dated 2025-12-01 and 1.4.0 dated 2026-03-06

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Package PoissonBinomial updated to version 1.2.8 with previous version 1.2.7 dated 2024-09-17

Title: Efficient Computation of Ordinary and Generalised Poisson Binomial Distributions
Description: Efficient implementations of multiple exact and approximate methods as described in Hong (2013) <doi:10.1016/j.csda.2012.10.006>, Biscarri, Zhao & Brunner (2018) <doi:10.1016/j.csda.2018.01.007> and Zhang, Hong & Balakrishnan (2018) <doi:10.1080/00949655.2018.1440294> for computing the probability mass, cumulative distribution and quantile functions, as well as generating random numbers for both the ordinary and generalised Poisson binomial distribution.
Author: Florian Junge [aut, cre]
Maintainer: Florian Junge <florian.junge@mailbox.org>

Diff between PoissonBinomial versions 1.2.7 dated 2024-09-17 and 1.2.8 dated 2026-03-06

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New package openaiRtools with initial version 0.2.2
Package: openaiRtools
Title: R Client for the 'OpenAI' API
Version: 0.2.2
Description: Complete R implementation of the 'OpenAI' Python 'SDK'. Provides full compatibility with the 'OpenAI' API including chat completions, 'embeddings', images, audio, fine-tuning, and model management.
License: MIT + file LICENSE
URL: https://github.com/xiaoluolorn/openaiRtools
BugReports: https://github.com/xiaoluolorn/openaiRtools/issues
Depends: R (>= 4.0.0)
Imports: R6, httr2, jsonlite, rlang, tools, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-02 12:24:17 UTC; luoch
Author: Chaoyang Luo [aut, cre]
Maintainer: Chaoyang Luo <xiaoluolorn@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-06 13:20:02 UTC

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New package moonlit with initial version 0.1.1
Package: moonlit
Title: Predicting Moonlight Intensity for a Given Time and Location
Version: 0.1.1
Description: Tools for predicting moonlight intensity on the ground based on the position of the moon, atmospheric conditions, and other factors. Provides functions to calculate moonlight intensity and related statistics for ecological and behavioral research, offering more accurate estimates than simple moon phase calculations. The underlying model is described in Smielak (2023) <doi:10.1007/s00265-022-03287-2>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: suncalc, lubridate
Suggests: testthat (>= 3.0.0)
URL: https://github.com/msmielak/moonlit
BugReports: https://github.com/msmielak/moonlit/issues
NeedsCompilation: no
Packaged: 2026-03-02 19:59:47 UTC; admin
Author: Michal Smielak [aut, cre]
Maintainer: Michal Smielak <michalsmielak@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-06 13:50:02 UTC

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Package indexthis updated to version 2.2.0 with previous version 2.1.0 dated 2025-04-18

Title: Quick Indexation
Description: Quick indexation of any type of vector or of any combination of those. Indexation turns a vector into an integer vector going from 1 to the number of unique elements. Indexes are important building blocks for many algorithms. The method is described at <https://github.com/lrberge/indexthis/>.
Author: Laurent Berge [aut, cre], Sebastian Krantz [ctb], Morgan Jacob [ctb]
Maintainer: Laurent Berge <laurent.berge@u-bordeaux.fr>

Diff between indexthis versions 2.1.0 dated 2025-04-18 and 2.2.0 dated 2026-03-06

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Package ggstats updated to version 0.13.0 with previous version 0.12.0 dated 2025-12-22

Title: Extension to 'ggplot2' for Plotting Stats
Description: Provides new statistics, new geometries and new positions for 'ggplot2' and a suite of functions to facilitate the creation of statistical plots.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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New package agregR with initial version 1.0.3
Encoding: UTF-8
Package: agregR
URL: https://rnmag.github.io/agregR/, https://github.com/rnmag/agregR
Title: Bayesian State-Space Aggregation of Brazilian Presidential Polls
Description: A set of dynamic measurement models to estimate latent vote shares from noisy polling sources. The models build on Jackman (2009, ISBN: 9780470011546) and feature specialized methods for bias adjustment based on past performance and correction for asymmetric errors based on candidate political alignment.
Version: 1.0.3
Depends: R (>= 4.1.0), ggdist (>= 3.1.0)
Imports: instantiate, tibble, dplyr, tidyr, purrr, readr, stringr, tidyselect, ggplot2, scales, lubridate, cli, ragg, sysfonts, showtext, stringi, grid, systemfonts
Suggests: bayesplot, cmdstanr (>= 0.5.0), testthat (>= 3.0.0)
Additional_repositories: https://mc-stan.org/r-packages/
SystemRequirements: CmdStan (https://mc-stan.org/users/interfaces/cmdstan)
LazyData: true
License: MIT + file LICENSE
NeedsCompilation: yes
Packaged: 2026-03-02 14:51:21 UTC; Rafael
Author: Rafael N. Magalhaes [aut, cre]
Maintainer: Rafael N. Magalhaes <rnunesmagalhaes@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-06 13:30:09 UTC

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Package afdx updated to version 1.1.2 with previous version 1.1.1 dated 2021-05-25

Title: Diagnosis Performance Using Attributable Fraction
Description: Estimate diagnosis performance (Sensitivity, Specificity, Positive predictive value, Negative predicted value) of a diagnostic test where can not measure the golden standard but can estimate it using the attributable fraction.
Author: John J. Aponte [aut, cre] , Orvalho Augusto [aut]
Maintainer: John J. Aponte <john.j.aponte@gmail.com>

Diff between afdx versions 1.1.1 dated 2021-05-25 and 1.1.2 dated 2026-03-06

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Package ordinalpattern updated to version 0.2.8 with previous version 0.2.7 dated 2025-05-12

Title: Tests Based on Ordinal Patterns
Description: Ordinal patterns describe the dynamics of a time series by looking at the ranks of subsequent observations. By comparing ordinal patterns of two times series, Schnurr (2014) <doi:10.1007/s00362-013-0536-8> defines a robust and non-parametric dependence measure: the ordinal pattern coefficient. Functions to calculate this and a method to detect a change in the pattern coefficient proposed in Schnurr and Dehling (2017) <doi:10.1080/01621459.2016.1164706> are provided. Furthermore, the package contains a function for calculating the ordinal pattern frequencies. Generalized ordinal patterns as proposed by Schnurr and Fischer (2022) <doi:10.1016/j.csda.2022.107472> are also considered.
Author: Alexander Duerre [aut], Svenja Fischer [ctb], Alexander Schnurr [aut], Angelika Silbernagel [aut, cre]
Maintainer: Angelika Silbernagel <silbernagel@hsu-hh.de>

Diff between ordinalpattern versions 0.2.7 dated 2025-05-12 and 0.2.8 dated 2026-03-06

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Package DLFM updated to version 0.2.3 with previous version 0.2.2 dated 2026-01-26

Title: Distributed Laplace Factor Model
Description: Distributed estimation method is based on a Laplace factor model to solve the estimates of load and specific variance. The philosophy of the package is described in Guangbao Guo. (2022). <doi:10.1007/s00180-022-01270-z>.
Author: Guangbao Guo [aut, cre], Siqi Liu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

Diff between DLFM versions 0.2.2 dated 2026-01-26 and 0.2.3 dated 2026-03-06

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Package tramnet updated to version 0.0-99 with previous version 0.0-10 dated 2025-11-18

Title: Penalized Transformation Models
Description: Partially penalized versions of specific transformation models implemented in package 'mlt'. Available models include a fully parametric version of the Cox model, other parametric survival models (Weibull, etc.), models for binary and ordered categorical variables, normal and transformed-normal (Box-Cox type) linear models, and continuous outcome logistic regression. Hyperparameter tuning is facilitated through model-based optimization functionalities from package 'mlrMBO'. The accompanying vignette describes the methodology used in 'tramnet' in detail. Transformation models and model-based optimization are described in Hothorn et al. (2019) <doi:10.1111/sjos.12291> and Bischl et al. (2016) <doi:10.48550/arXiv.1703.03373>, respectively.
Author: Lucas Kook [cre, aut], Balint Tamasi [ctb], Sandra Siegfried [ctb], Samuel Pawel [ctb], Torsten Hothorn [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>

Diff between tramnet versions 0.0-10 dated 2025-11-18 and 0.0-99 dated 2026-03-06

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

Title: Bindings to the 'HarfBuzz' and 'Fribidi' Libraries for Text Shaping
Description: Provides access to the text shaping functionality in the 'HarfBuzz' library and the bidirectional algorithm in the 'Fribidi' library. 'textshaping' is a low-level utility package mainly for graphic devices that expands upon the font tool-set provided by the 'systemfonts' package.
Author: Thomas Lin Pedersen [cre, aut] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between textshaping versions 1.0.4 dated 2025-10-10 and 1.0.5 dated 2026-03-06

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Package tepr updated to version 1.1.15 with previous version 1.1.14 dated 2026-01-28

Title: Transcription Elongation Profiling
Description: The general principle relies on calculating the cumulative signal of nascent RNA sequencing over the gene body of any given gene or transcription unit. 'tepr' can identify transcription attenuation sites by comparing profile to a null model which assumes uniform read density over the entirety of the transcription unit. It can also identify increased or diminished transcription attenuation by comparing two conditions. Besides rigorous statistical testing and high sensitivity, a major feature of 'tepr' is its ability to provide the elongation pattern of each individual gene, including the position of the main attenuation point when such a phenomenon occurs. Using 'tepr', users can visualize and refine genome-wide aggregated analyses of elongation patterns to robustly identify effects specific to subsets of genes. These metrics are suitable for internal comparisons (between genes in each condition) and for studying elongation of the same gene in different conditions or comparing it to a p [...truncated...]
Author: Nicolas Descostes [cre], Victor Billon [aut], Gael Cristofari [aut]
Maintainer: Nicolas Descostes <nicolas.descostes@gmail.com>

Diff between tepr versions 1.1.14 dated 2026-01-28 and 1.1.15 dated 2026-03-06

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Package ragg updated to version 1.5.1 with previous version 1.5.0 dated 2025-09-02

Title: Graphic Devices Based on AGG
Description: Anti-Grain Geometry (AGG) is a high-quality and high-performance 2D drawing library. The 'ragg' package provides a set of graphic devices based on AGG to use as alternative to the raster devices provided through the 'grDevices' package.
Author: Thomas Lin Pedersen [cre, aut] , Maxim Shemanarev [aut, cph] , Tony Juricic [ctb, cph] , Milan Marusinec [ctb, cph] , Spencer Garrett [ctb] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between ragg versions 1.5.0 dated 2025-09-02 and 1.5.1 dated 2026-03-06

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Package placematchr updated to version 0.2.4 with previous version 0.2.3 dated 2026-02-11

Title: Normalize and Match City Names to NUTS Regions
Description: Normalizes city names for EEA countries and matches them to NUTS 3 regions using provided crosswalks. Features include comprehensive normalization rules, cascading matching logic (Exact NUTS -> Exact LAU -> Fuzzy), and single-source data synthesis. The package implements the NUTS classification as described in the NUTS methodology (Eurostat (2021) <https://ec.europa.eu/eurostat/web/nuts>).
Author: Giulian Etingin-Frati [aut, cre]
Maintainer: Giulian Etingin-Frati <etingin-frati@kof.ethz.ch>

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Package miniPCH updated to version 0.4.1 with previous version 0.4.0 dated 2024-10-31

Title: Survival Distributions with Piece-Wise Constant Hazards
Description: Density, distribution function, ... hazard function, cumulative hazard function, survival function for survival distributions with piece-wise constant hazards and multiple states and methods to plot and summarise those distributions. A derivation of the used algorithms can be found in my masters thesis <doi:10.25365/thesis.76098>.
Author: Tobias Fellinger [aut, cre] , Florian Klinglmueller [aut]
Maintainer: Tobias Fellinger <tobias.fellinger@ages.at>

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Package mdatools updated to version 0.15.0 with previous version 0.14.2 dated 2024-08-19

Title: Multivariate Data Analysis for Chemometrics
Description: Projection based methods for preprocessing, exploring and analysis of multivariate data used in chemometrics. S. Kucheryavskiy (2020) <doi:10.1016/j.chemolab.2020.103937>.
Author: Sergey Kucheryavskiy [aut, cre]
Maintainer: Sergey Kucheryavskiy <svkucheryavski@gmail.com>

Diff between mdatools versions 0.14.2 dated 2024-08-19 and 0.15.0 dated 2026-03-06

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Package FeatureExtraction updated to version 3.13.0 with previous version 3.12.0 dated 2025-10-28

Title: Generating Features for a Cohort
Description: An R interface for generating features for a cohort using data in the Common Data Model. Features can be constructed using default or custom made feature definitions. Furthermore it's possible to aggregate features and get the summary statistics.
Author: Martijn Schuemie [aut], Marc Suchard [aut], Patrick Ryan [aut], Jenna Reps [aut], Anthony Sena [aut], Ger Inberg [aut, cre], Observational Health Data Science and Informatics [cph]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

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Package CoImp updated to version 2.2 with previous version 2.1.1 dated 2025-10-17

Title: Parametric and Nonparametric Copula-Based Imputation Methods
Description: Copula-based imputation methods: parametric and nonparametric algorithms for missing multivariate data through conditional copulas.
Author: Francesca Marta Lilja Di Lascio [aut, cre], Aurora Gatto [aut], Simone Giannerini [aut]
Maintainer: Francesca Marta Lilja Di Lascio <marta.dilascio@unibz.it>

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Package semfindr updated to version 0.2.0 with previous version 0.1.9 dated 2025-03-03

Title: Influential Cases in Structural Equation Modeling
Description: Sensitivity analysis in structural equation modeling using influence measures and diagnostic plots. Support leave-one-out casewise sensitivity analysis presented by Pek and MacCallum (2011) <doi:10.1080/00273171.2011.561068> and approximate casewise influence using scores and casewise likelihood. An introduction to the package can be found in Cheung and Lai (2026) <doi:10.1080/00273171.2026.2634293>.
Author: Shu Fai Cheung [aut, cre] , Mark Hok Chio Lai [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package cnefetools updated to version 0.2.3 with previous version 0.2.2 dated 2026-02-27

Title: Access and Analysis of Brazilian CNEFE Address Data
Description: Download, cache and read municipality-level address data from the Cadastro Nacional de Enderecos para Fins Estatisticos (CNEFE) of the 2022 Brazilian Census, published by the Instituto Brasileiro de Geografia e Estatistica (IBGE) <https://ftp.ibge.gov.br/Cadastro_Nacional_de_Enderecos_para_Fins_Estatisticos/>. Beyond data access, provides spatial aggregation of addresses, computation of land-use mix indices, and dasymetric interpolation of census tract variables using CNEFE dwelling points as ancillary data. Results can be produced on 'H3' hexagonal grids or user-supplied polygons, and heavy operations leverage a 'DuckDB' backend with extensions for fast, in-process execution.
Author: Jorge Ubirajara Pedreira Junior [aut, cre, cph] , Bruno Mioto [aut], Kaio Cunha Pedreira [ctb]
Maintainer: Jorge Ubirajara Pedreira Junior <jorge.ubirajara@ufba.br>

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Package thisutils updated to version 0.4.3 with previous version 0.4.2 dated 2026-02-23

Title: Collection of Utility Functions for Data Analysis and Computing
Description: Provides utility functions for data analysis and computing. Includes functions for logging, parallel processing, and other computational tasks to streamline workflows.
Author: Meng Xu [aut, cre]
Maintainer: Meng Xu <mengxu98@qq.com>

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Package stochtree updated to version 0.4.0 with previous version 0.3.1 dated 2026-02-12

Title: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference
Description: Flexible stochastic tree ensemble software. Robust implementations of Bayesian Additive Regression Trees (BART) (Chipman, George, McCulloch (2010) <doi:10.1214/09-AOAS285>) for supervised learning and Bayesian Causal Forests (BCF) (Hahn, Murray, Carvalho (2020) <doi:10.1214/19-BA1195>) for causal inference. Enables model serialization and parallel sampling and provides a low-level interface for custom stochastic forest samplers. Includes the grow-from-root algorithm for accelerated forest sampling (He and Hahn (2021) <doi:10.1080/01621459.2021.1942012>), a log-linear leaf model for forest-based heteroskedasticity (Murray (2020) <doi:10.1080/01621459.2020.1813587>), and the cloglog BART model of Alam and Linero (2025) <doi:10.48550/arXiv.2502.00606> for ordinal outcomes.
Author: Drew Herren [aut, cre] , Richard Hahn [aut], Jared Murray [aut], Carlos Carvalho [aut], Jingyu He [aut], Pedro Lima [ctb], Entejar Alam [ctb], stochtree contributors [cph], Eigen contributors [cph] , xgboost contributors [cph] , treelite contributors [...truncated...]
Maintainer: Drew Herren <drewherrenopensource@gmail.com>

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Permanent link

Package rsoi updated to version 0.5.7 with previous version 0.5.6 dated 2023-11-16

Title: Import Various Northern and Southern Hemisphere Climate Indices
Description: Downloads Southern Oscillation Index, Oceanic Nino Index, North Pacific Gyre Oscillation data, North Atlantic Oscillation and Arctic Oscillation. Data sources are described in the help files for each function.
Author: Sam Albers [aut, cre], Elio Campitelli [ctb]
Maintainer: Sam Albers <sam.albers@gmail.com>

Diff between rsoi versions 0.5.6 dated 2023-11-16 and 0.5.7 dated 2026-03-06

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Package htmxr updated to version 0.2.0 with previous version 0.1.1 dated 2026-03-04

Title: Build Modern Web Applications with 'htmx' and 'plumber2'
Description: A lightweight framework for building server-driven web applications in 'R'. 'htmxr' combines the simplicity of 'htmx' for partial page updates with the power of 'plumber2' for non-blocking HTTP endpoints. Build interactive dashboards and data applications without writing 'JavaScript', using familiar 'R' patterns inspired by 'Shiny'. For more information on 'htmx', see <https://htmx.org>.
Author: Arthur Breant [aut, cre]
Maintainer: Arthur Breant <arthur@thinkr.fr>

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Package fs updated to version 1.6.7 with previous version 1.6.6 dated 2025-04-12

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

Diff between fs versions 1.6.6 dated 2025-04-12 and 1.6.7 dated 2026-03-06

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Package coda.plot updated to version 0.2.1 with previous version 0.1.10 dated 2025-09-23

Title: Plots for Compositional Data
Description: Provides a collection of easy-to-use functions for creating visualizations of compositional data using 'ggplot2'. Includes support for common plotting techniques in compositional data analysis.
Author: Marc Comas-Cufi [aut, cre]
Maintainer: Marc Comas-Cufi <mcomas@imae.udg.edu>

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Package actel updated to version 1.4.0 with previous version 1.3.0 dated 2023-10-18

Title: Acoustic Telemetry Data Analysis
Description: Designed for studies where animals tagged with acoustic tags are expected to move through receiver arrays. This package combines the advantages of automatic sorting and checking of animal movements with the possibility for user intervention on tags that deviate from expected behaviour. The three analysis functions (explore(), migration() and residency()) allow the users to analyse their data in a systematic way, making it easy to compare results from different studies. CJS calculations are based on Perry et al. (2012) <https://www.researchgate.net/publication/256443823_Using_mark-recapture_models_to_estimate_survival_from_telemetry_data>.
Author: Hugo Flavio [aut, cre] , Devon Smith [ctb]
Maintainer: Hugo Flavio <hflavio@dal.ca>

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Package tinyimg updated to version 0.3 with previous version 0.2 dated 2026-02-20

Title: Optimize and Compress Images
Description: Optimize and compress images using 'Rust' libraries to reduce file sizes while maintaining image quality. Supports PNG palette reduction and dithering via the 'exoquant' crate before lossless PNG optimization via the 'oxipng' crate. The package provides functions to optimize individual image files or entire directories, with configurable compression levels.
Author: Yihui Xie [aut, cre, cph] , Authors of the dependency Rust crates [ctb, cph]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between tinyimg versions 0.2 dated 2026-02-20 and 0.3 dated 2026-03-06

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Package TidyConsultant readmission to version 0.1.2 with previous version 0.1.1 dated 2024-06-07

Title: Tidy Consultant Universe
Description: Loads the 5 packages in the Tidy Consultant Universe. This collection of packages is useful for anyone doing data science, data analysis, or quantitative consulting. The functions in these packages range from data cleaning, data validation, data binning, statistical modeling, and file exporting.
Author: Harrison Tietze [aut, cre]
Maintainer: Harrison Tietze <Harrison4192@gmail.com>

This is a re-admission after prior archival of version 0.1.1 dated 2024-06-07

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Package regmedint readmission to version 1.0.2 with previous version 1.0.1 dated 2024-01-12

Title: Regression-Based Causal Mediation Analysis with Interaction and Effect Modification Terms
Description: This is an extension of the regression-based causal mediation analysis first proposed by Valeri and VanderWeele (2013) <doi:10.1037/a0031034> and Valeri and VanderWeele (2015) <doi:10.1097/EDE.0000000000000253>). It supports including effect measure modification by covariates(treatment-covariate and mediator-covariate product terms in mediator and outcome regression models) as proposed by Li et al (2023) <doi:10.1097/EDE.0000000000001643>. It also accommodates the original 'SAS' macro and 'PROC CAUSALMED' procedure in 'SAS' when there is no effect measure modification. Linear and logistic models are supported for the mediator model. Linear, logistic, loglinear, Poisson, negative binomial, Cox, and accelerated failure time (exponential and Weibull) models are supported for the outcome model.
Author: Kazuki Yoshida [ctb, aut] , Yi Li [cre, aut] , Maya Mathur [ctb]
Maintainer: Yi Li <yi.li10@mail.mcgill.ca>

This is a re-admission after prior archival of version 1.0.1 dated 2024-01-12

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Package iccbeta readmission to version 1.2.1 with previous version 1.2.0 dated 2019-01-28

Title: Multilevel Model Intraclass Correlation for Slope Heterogeneity
Description: A function and vignettes for computing an intraclass correlation described in Aguinis & Culpepper (2015) <doi:10.1177/1094428114563618>. This package quantifies the share of variance in a dependent variable that is attributed to group heterogeneity in slopes.
Author: Steven Andrew Culpepper [aut, cph, cre] , Herman Aguinis [aut, cph]
Maintainer: Steven Andrew Culpepper <sculpepp@illinois.edu>

This is a re-admission after prior archival of version 1.2.0 dated 2019-01-28

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Package CVXR updated to version 1.8.1 with previous version 1.0-15 dated 2024-11-07

Title: Disciplined Convex Optimization
Description: An object-oriented modeling language for disciplined convex programming (DCP) as described in Fu, Narasimhan, and Boyd (2020, <doi:10.18637/jss.v094.i14>). It allows the user to formulate convex optimization problems in a natural way following mathematical convention and DCP rules. The system analyzes the problem, verifies its convexity, converts it into a canonical form, and hands it off to an appropriate solver to obtain the solution. This version uses the S7 object system for improved performance and maintainability.
Author: Anqi Fu [aut, cre], Balasubramanian Narasimhan [aut], Steven Diamond [aut], John Miller [aut], Stephen Boyd [ctb]
Maintainer: Anqi Fu <anqif@alumni.stanford.edu>

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 CVXR-1.0-15/CVXR/man/Complex2Real.zero_canon.Rd                                     |only
 CVXR-1.0-15/CVXR/man/ConeDims-class.Rd                                              |only
 CVXR-1.0-15/CVXR/man/ConeMatrixStuffing-class.Rd                                    |only
 CVXR-1.0-15/CVXR/man/ConicSolver-class.Rd                                           |only
 CVXR-1.0-15/CVXR/man/ConicSolver.get_coeff_offset.Rd                                |only
 CVXR-1.0-15/CVXR/man/ConicSolver.get_spacing_matrix.Rd                              |only
 CVXR-1.0-15/CVXR/man/Conjugate-class.Rd                                             |only
 CVXR-1.0-15/CVXR/man/Constant-class.Rd                                              |only
 CVXR-1.0-15/CVXR/man/ConstantSolver-class.Rd                                        |only
 CVXR-1.0-15/CVXR/man/Constraint-class.Rd                                            |only
 CVXR-1.0-15/CVXR/man/Conv-class.Rd                                                  |only
 CVXR-1.0-15/CVXR/man/CumMax-class.Rd                                                |only
 CVXR-1.0-15/CVXR/man/CumSum-class.Rd                                                |only
 CVXR-1.0-15/CVXR/man/CvxAttr2Constr-class.Rd                                        |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone-class.Rd                                              |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.entr_canon.Rd                                         |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.exp_canon.Rd                                          |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.geo_mean_canon.Rd                                     |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.huber_canon.Rd                                        |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.indicator_canon.Rd                                    |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.kl_div_canon.Rd                                       |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.lambda_max_canon.Rd                                   |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.lambda_sum_largest_canon.Rd                           |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.log1p_canon.Rd                                        |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.log_canon.Rd                                          |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.log_det_canon.Rd                                      |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.log_sum_exp_canon.Rd                                  |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.logistic_canon.Rd                                     |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.matrix_frac_canon.Rd                                  |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.normNuc_canon.Rd                                      |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.pnorm_canon.Rd                                        |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.power_canon.Rd                                        |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.quad_form_canon.Rd                                    |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.quad_over_lin_canon.Rd                                |only
 CVXR-1.0-15/CVXR/man/Dcp2Cone.sigma_max_canon.Rd                                    |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp-class.Rd                                               |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.add_canon.Rd                                           |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.constant_canon.Rd                                      |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.div_canon.Rd                                           |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.exp_canon.Rd                                           |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.eye_minus_inv_canon.Rd                                 |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.geo_mean_canon.Rd                                      |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.log_canon.Rd                                           |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.mul_canon.Rd                                           |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.mulexpression_canon.Rd                                 |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.nonpos_constr_canon.Rd                                 |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.norm1_canon.Rd                                         |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.norm_inf_canon.Rd                                      |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.one_minus_pos_canon.Rd                                 |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.parameter_canon.Rd                                     |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.pf_eigenvalue_canon.Rd                                 |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.pnorm_canon.Rd                                         |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.power_canon.Rd                                         |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.prod_canon.Rd                                          |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.quad_form_canon.Rd                                     |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.quad_over_lin_canon.Rd                                 |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.sum_canon.Rd                                           |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.trace_canon.Rd                                         |only
 CVXR-1.0-15/CVXR/man/Dgp2Dcp.zero_constr_canon.Rd                                   |only
 CVXR-1.0-15/CVXR/man/DgpCanonMethods-class.Rd                                       |only
 CVXR-1.0-15/CVXR/man/Diag-int.Rd                                                    |only
 CVXR-1.0-15/CVXR/man/DiagMat-class.Rd                                               |only
 CVXR-1.0-15/CVXR/man/DiagVec-class.Rd                                               |only
 CVXR-1.0-15/CVXR/man/Diff-int.Rd                                                    |only
 CVXR-1.0-15/CVXR/man/DiffPos.Rd                                                     |only
 CVXR-1.0-15/CVXR/man/DivExpression-class.Rd                                         |only
 CVXR-1.0-15/CVXR/man/ECOS-class.Rd                                                  |only
 CVXR-1.0-15/CVXR/man/ECOS.dims_to_solver_dict.Rd                                    |only
 CVXR-1.0-15/CVXR/man/ECOS_BB-class.Rd                                               |only
 CVXR-1.0-15/CVXR/man/Elementwise-class.Rd                                           |only
 CVXR-1.0-15/CVXR/man/EliminatePwl-class.Rd                                          |only
 CVXR-1.0-15/CVXR/man/EliminatePwl.abs_canon.Rd                                      |only
 CVXR-1.0-15/CVXR/man/EliminatePwl.cummax_canon.Rd                                   |only
 CVXR-1.0-15/CVXR/man/EliminatePwl.cumsum_canon.Rd                                   |only
 CVXR-1.0-15/CVXR/man/EliminatePwl.max_elemwise_canon.Rd                             |only
 CVXR-1.0-15/CVXR/man/EliminatePwl.max_entries_canon.Rd                              |only
 CVXR-1.0-15/CVXR/man/EliminatePwl.min_elemwise_canon.Rd                             |only
 CVXR-1.0-15/CVXR/man/EliminatePwl.min_entries_canon.Rd                              |only
 CVXR-1.0-15/CVXR/man/EliminatePwl.norm1_canon.Rd                                    |only
 CVXR-1.0-15/CVXR/man/EliminatePwl.norm_inf_canon.Rd                                 |only
 CVXR-1.0-15/CVXR/man/EliminatePwl.sum_largest_canon.Rd                              |only
 CVXR-1.0-15/CVXR/man/Entr-class.Rd                                                  |only
 CVXR-1.0-15/CVXR/man/EqConstraint-class.Rd                                          |only
 CVXR-1.0-15/CVXR/man/EvalParams-class.Rd                                            |only
 CVXR-1.0-15/CVXR/man/Exp-class.Rd                                                   |only
 CVXR-1.0-15/CVXR/man/ExpCone-class.Rd                                               |only
 CVXR-1.0-15/CVXR/man/Expression-class.Rd                                            |only
 CVXR-1.0-15/CVXR/man/EyeMinusInv-class.Rd                                           |only
 CVXR-1.0-15/CVXR/man/FlipObjective-class.Rd                                         |only
 CVXR-1.0-15/CVXR/man/GLPK-class.Rd                                                  |only
 CVXR-1.0-15/CVXR/man/GLPK_MI-class.Rd                                               |only
 CVXR-1.0-15/CVXR/man/GUROBI_CONIC-class.Rd                                          |only
 CVXR-1.0-15/CVXR/man/GUROBI_QP-class.Rd                                             |only
 CVXR-1.0-15/CVXR/man/GeoMean-class.Rd                                               |only
 CVXR-1.0-15/CVXR/man/HStack-class.Rd                                                |only
 CVXR-1.0-15/CVXR/man/HarmonicMean.Rd                                                |only
 CVXR-1.0-15/CVXR/man/Huber-class.Rd                                                 |only
 CVXR-1.0-15/CVXR/man/Imag-class.Rd                                                  |only
 CVXR-1.0-15/CVXR/man/Index-class.Rd                                                 |only
 CVXR-1.0-15/CVXR/man/IneqConstraint-class.Rd                                        |only
 CVXR-1.0-15/CVXR/man/InverseData-class.Rd                                           |only
 CVXR-1.0-15/CVXR/man/KLDiv-class.Rd                                                 |only
 CVXR-1.0-15/CVXR/man/Kron-class.Rd                                                  |only
 CVXR-1.0-15/CVXR/man/LambdaMax-class.Rd                                             |only
 CVXR-1.0-15/CVXR/man/LambdaMin.Rd                                                   |only
 CVXR-1.0-15/CVXR/man/LambdaSumLargest-class.Rd                                      |only
 CVXR-1.0-15/CVXR/man/LambdaSumSmallest.Rd                                           |only
 CVXR-1.0-15/CVXR/man/Leaf-class.Rd                                                  |only
 CVXR-1.0-15/CVXR/man/ListORConstr-class.Rd                                          |only
 CVXR-1.0-15/CVXR/man/Log-class.Rd                                                   |only
 CVXR-1.0-15/CVXR/man/Log1p-class.Rd                                                 |only
 CVXR-1.0-15/CVXR/man/LogDet-class.Rd                                                |only
 CVXR-1.0-15/CVXR/man/LogSumExp-class.Rd                                             |only
 CVXR-1.0-15/CVXR/man/Logistic-class.Rd                                              |only
 CVXR-1.0-15/CVXR/man/MOSEK-class.Rd                                                 |only
 CVXR-1.0-15/CVXR/man/MOSEK.parse_dual_vars.Rd                                       |only
 CVXR-1.0-15/CVXR/man/MOSEK.recover_dual_variables.Rd                                |only
 CVXR-1.0-15/CVXR/man/MatrixFrac-class.Rd                                            |only
 CVXR-1.0-15/CVXR/man/MatrixStuffing-class.Rd                                        |only
 CVXR-1.0-15/CVXR/man/MaxElemwise-class.Rd                                           |only
 CVXR-1.0-15/CVXR/man/MaxEntries-class.Rd                                            |only
 CVXR-1.0-15/CVXR/man/Maximize-class.Rd                                              |only
 CVXR-1.0-15/CVXR/man/MinElemwise-class.Rd                                           |only
 CVXR-1.0-15/CVXR/man/MinEntries-class.Rd                                            |only
 CVXR-1.0-15/CVXR/man/Minimize-class.Rd                                              |only
 CVXR-1.0-15/CVXR/man/MixedNorm.Rd                                                   |only
 CVXR-1.0-15/CVXR/man/MulExpression-class.Rd                                         |only
 CVXR-1.0-15/CVXR/man/Multiply-class.Rd                                              |only
 CVXR-1.0-15/CVXR/man/Neg-int.Rd                                                     |only
 CVXR-1.0-15/CVXR/man/NegExpression-class.Rd                                         |only
 CVXR-1.0-15/CVXR/man/NonPosConstraint-class.Rd                                      |only
 CVXR-1.0-15/CVXR/man/NonlinearConstraint-class.Rd                                   |only
 CVXR-1.0-15/CVXR/man/Norm-atom.Rd                                                   |only
 CVXR-1.0-15/CVXR/man/Norm1-class.Rd                                                 |only
 CVXR-1.0-15/CVXR/man/Norm2-atom.Rd                                                  |only
 CVXR-1.0-15/CVXR/man/NormInf-class.Rd                                               |only
 CVXR-1.0-15/CVXR/man/NormNuc-class.Rd                                               |only
 CVXR-1.0-15/CVXR/man/OSQP-class.Rd                                                  |only
 CVXR-1.0-15/CVXR/man/Objective-arith.Rd                                             |only
 CVXR-1.0-15/CVXR/man/Objective-class.Rd                                             |only
 CVXR-1.0-15/CVXR/man/OneMinusPos-class.Rd                                           |only
 CVXR-1.0-15/CVXR/man/PSDConstraint-class.Rd                                         |only
 CVXR-1.0-15/CVXR/man/PSDWrap-class.Rd                                               |only
 CVXR-1.0-15/CVXR/man/Parameter-class.Rd                                             |only
 CVXR-1.0-15/CVXR/man/PfEigenvalue-class.Rd                                          |only
 CVXR-1.0-15/CVXR/man/Pnorm-class.Rd                                                 |only
 CVXR-1.0-15/CVXR/man/Pos-int.Rd                                                     |only
 CVXR-1.0-15/CVXR/man/Power-class.Rd                                                 |only
 CVXR-1.0-15/CVXR/man/Problem-arith.Rd                                               |only
 CVXR-1.0-15/CVXR/man/Problem-class.Rd                                               |only
 CVXR-1.0-15/CVXR/man/ProdEntries-class.Rd                                           |only
 CVXR-1.0-15/CVXR/man/Promote-class.Rd                                               |only
 CVXR-1.0-15/CVXR/man/Qp2SymbolicQp-class.Rd                                         |only
 CVXR-1.0-15/CVXR/man/QpMatrixStuffing-class.Rd                                      |only
 CVXR-1.0-15/CVXR/man/QpSolver-class.Rd                                              |only
 CVXR-1.0-15/CVXR/man/QuadForm-class.Rd                                              |only
 CVXR-1.0-15/CVXR/man/QuadOverLin-class.Rd                                           |only
 CVXR-1.0-15/CVXR/man/Rdict-class.Rd                                                 |only
 CVXR-1.0-15/CVXR/man/Rdictdefault-class.Rd                                          |only
 CVXR-1.0-15/CVXR/man/Real-class.Rd                                                  |only
 CVXR-1.0-15/CVXR/man/Reduction-class.Rd                                             |only
 CVXR-1.0-15/CVXR/man/ReductionSolver-class.Rd                                       |only
 CVXR-1.0-15/CVXR/man/Reshape-class.Rd                                               |only
 CVXR-1.0-15/CVXR/man/SCS-class.Rd                                                   |only
 CVXR-1.0-15/CVXR/man/SCS.dims_to_solver_dict.Rd                                     |only
 CVXR-1.0-15/CVXR/man/SCS.extract_dual_value.Rd                                      |only
 CVXR-1.0-15/CVXR/man/SOC-class.Rd                                                   |only
 CVXR-1.0-15/CVXR/man/SOCAxis-class.Rd                                               |only
 CVXR-1.0-15/CVXR/man/SigmaMax-class.Rd                                              |only
 CVXR-1.0-15/CVXR/man/SizeMetrics-class.Rd                                           |only
 CVXR-1.0-15/CVXR/man/Solution-class.Rd                                              |only
 CVXR-1.0-15/CVXR/man/SolverStats-class.Rd                                           |only
 CVXR-1.0-15/CVXR/man/SolvingChain-class.Rd                                          |only
 CVXR-1.0-15/CVXR/man/SpecialIndex-class.Rd                                          |only
 CVXR-1.0-15/CVXR/man/SumEntries-class.Rd                                            |only
 CVXR-1.0-15/CVXR/man/SumLargest-class.Rd                                            |only
 CVXR-1.0-15/CVXR/man/SumSmallest.Rd                                                 |only
 CVXR-1.0-15/CVXR/man/SumSquares.Rd                                                  |only
 CVXR-1.0-15/CVXR/man/SymbolicQuadForm-class.Rd                                      |only
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 CVXR-1.0-15/CVXR/man/Trace-class.Rd                                                 |only
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 CVXR-1.0-15/CVXR/man/UpperTri-class.Rd                                              |only
 CVXR-1.0-15/CVXR/man/VStack-class.Rd                                                |only
 CVXR-1.0-15/CVXR/man/Variable-class.Rd                                              |only
 CVXR-1.0-15/CVXR/man/Wrap-class.Rd                                                  |only
 CVXR-1.0-15/CVXR/man/ZeroConstraint-class.Rd                                        |only
 CVXR-1.0-15/CVXR/man/abs.Rd                                                         |only
 CVXR-1.0-15/CVXR/man/accepts.Rd                                                     |only
 CVXR-1.0-15/CVXR/man/are_args_affine.Rd                                             |only
 CVXR-1.0-15/CVXR/man/complex-atoms.Rd                                               |only
 CVXR-1.0-15/CVXR/man/complex-methods.Rd                                             |only
 CVXR-1.0-15/CVXR/man/cone-methods.Rd                                                |only
 CVXR-1.0-15/CVXR/man/constr_value.Rd                                                |only
 CVXR-1.0-15/CVXR/man/construct_intermediate_chain-Problem-list-method.Rd            |only
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 CVXR-1.0-15/CVXR/man/cummax_axis.Rd                                                 |only
 CVXR-1.0-15/CVXR/man/curvature-atom.Rd                                              |only
 CVXR-1.0-15/CVXR/man/curvature-comp.Rd                                              |only
 CVXR-1.0-15/CVXR/man/curvature-methods.Rd                                           |only
 CVXR-1.0-15/CVXR/man/diag.Rd                                                        |only
 CVXR-1.0-15/CVXR/man/diff.Rd                                                        |only
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 CVXR-1.0-15/CVXR/man/dot-LinOp__get_sparse_data.Rd                                  |only
 CVXR-1.0-15/CVXR/man/dot-LinOp__get_type.Rd                                         |only
 CVXR-1.0-15/CVXR/man/dot-LinOp__new.Rd                                              |only
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 CVXR-1.0-15/CVXR/man/dot-LinOp__set_slice.Rd                                        |only
 CVXR-1.0-15/CVXR/man/dot-LinOp__set_sparse.Rd                                       |only
 CVXR-1.0-15/CVXR/man/dot-LinOp__set_sparse_data.Rd                                  |only
 CVXR-1.0-15/CVXR/man/dot-LinOp__set_type.Rd                                         |only
 CVXR-1.0-15/CVXR/man/dot-LinOp__size_push_back.Rd                                   |only
 CVXR-1.0-15/CVXR/man/dot-LinOp__slice_push_back.Rd                                  |only
 CVXR-1.0-15/CVXR/man/dot-LinOp_at_index.Rd                                          |only
 CVXR-1.0-15/CVXR/man/dot-ProblemData__get_I.Rd                                      |only
 CVXR-1.0-15/CVXR/man/dot-ProblemData__get_J.Rd                                      |only
 CVXR-1.0-15/CVXR/man/dot-ProblemData__get_V.Rd                                      |only
 CVXR-1.0-15/CVXR/man/dot-ProblemData__get_const_to_row.Rd                           |only
 CVXR-1.0-15/CVXR/man/dot-ProblemData__get_const_vec.Rd                              |only
 CVXR-1.0-15/CVXR/man/dot-ProblemData__get_id_to_col.Rd                              |only
 CVXR-1.0-15/CVXR/man/dot-ProblemData__new.Rd                                        |only
 CVXR-1.0-15/CVXR/man/dot-ProblemData__set_I.Rd                                      |only
 CVXR-1.0-15/CVXR/man/dot-ProblemData__set_J.Rd                                      |only
 CVXR-1.0-15/CVXR/man/dot-ProblemData__set_V.Rd                                      |only
 CVXR-1.0-15/CVXR/man/dot-ProblemData__set_const_to_row.Rd                           |only
 CVXR-1.0-15/CVXR/man/dot-ProblemData__set_const_vec.Rd                              |only
 CVXR-1.0-15/CVXR/man/dot-ProblemData__set_id_to_col.Rd                              |only
 CVXR-1.0-15/CVXR/man/dot-build_matrix_0.Rd                                          |only
 CVXR-1.0-15/CVXR/man/dot-build_matrix_1.Rd                                          |only
 CVXR-1.0-15/CVXR/man/dot-decomp_quad.Rd                                             |only
 CVXR-1.0-15/CVXR/man/dot-p_norm.Rd                                                  |only
 CVXR-1.0-15/CVXR/man/dual_value-methods.Rd                                          |only
 CVXR-1.0-15/CVXR/man/exp.Rd                                                         |only
 CVXR-1.0-15/CVXR/man/expression-parts.Rd                                            |only
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 CVXR-1.0-15/CVXR/man/figures/logo.svg                                               |only
 CVXR-1.0-15/CVXR/man/format_constr.Rd                                               |only
 CVXR-1.0-15/CVXR/man/get_dual_values.Rd                                             |only
 CVXR-1.0-15/CVXR/man/get_id.Rd                                                      |only
 CVXR-1.0-15/CVXR/man/get_np.Rd                                                      |only
 CVXR-1.0-15/CVXR/man/get_sp.Rd                                                      |only
 CVXR-1.0-15/CVXR/man/group_constraints.Rd                                           |only
 CVXR-1.0-15/CVXR/man/import_solver.Rd                                               |only
 CVXR-1.0-15/CVXR/man/invert.Rd                                                      |only
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 CVXR-1.0-15/CVXR/man/is_stuffed_qp_objective.Rd                                     |only
 CVXR-1.0-15/CVXR/man/kronecker.Rd                                                   |only
 CVXR-1.0-15/CVXR/man/leaf-attr.Rd                                                   |only
 CVXR-1.0-15/CVXR/man/linearize.Rd                                                   |only
 CVXR-1.0-15/CVXR/man/log.Rd                                                         |only
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 CVXR-1.0-15/CVXR/man/mean.Rd                                                        |only
 CVXR-1.0-15/CVXR/man/mip_capable.Rd                                                 |only
 CVXR-1.0-15/CVXR/man/mul_elemwise.Rd                                                |only
 CVXR-1.0-15/CVXR/man/norm.Rd                                                        |only
 CVXR-1.0-15/CVXR/man/perform.Rd                                                     |only
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 CVXR-1.8.1/CVXR/MD5                                                                 | 1089 +++----
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Package BNPmix readmission to version 1.2.1 with previous version 1.1.0 dated 2025-10-21

Title: Bayesian Nonparametric Mixture Models
Description: Functions to perform Bayesian nonparametric univariate and multivariate density estimation and clustering, by means of Pitman-Yor mixtures, and dependent Dirichlet process mixtures for partially exchangeable data. See Corradin et al. (2021) <doi:10.18637/jss.v100.i15> for more details.
Author: Riccardo Corradin [aut, cre], Antonio Canale [ctb], Bernardo Nipoti [ctb]
Maintainer: Riccardo Corradin <riccardo.corradin@gmail.com>

This is a re-admission after prior archival of version 1.1.0 dated 2025-10-21

Diff between BNPmix versions 1.1.0 dated 2025-10-21 and 1.2.1 dated 2026-03-06

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Package manureshed (with last version 0.1.3) was removed from CRAN

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

2026-02-21 0.1.3
2026-01-28 0.1.2
2026-01-26 0.1.1
2025-12-22 0.1.0

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Package sparselu (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:

2026-02-20 0.2.0

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Package poLCAParallel (with last version 1.2.6) was removed from CRAN

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

2026-02-19 1.2.6

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Package testit updated to version 0.17 with previous version 0.16 dated 2026-02-23

Title: A Simple Package for Testing R Packages
Description: Provides two convenience functions assert() and test_pkg() to facilitate testing R packages.
Author: Yihui Xie [aut, cre] , Tomas Kalibera [ctb], Steven Mortimer [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between testit versions 0.16 dated 2026-02-23 and 0.17 dated 2026-03-06

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Package N2R updated to version 1.0.4 with previous version 1.0.2 dated 2024-02-26

Title: Fast and Scalable Approximate k-Nearest Neighbor Search Methods using 'N2' Library
Description: Implements methods to perform fast approximate K-nearest neighbor search on input matrix. Algorithm based on the 'N2' implementation of an approximate nearest neighbor search using hierarchical Navigable Small World (NSW) graphs. The original algorithm is described in "Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs", Y. Malkov and D. Yashunin, <doi:10.1109/TPAMI.2018.2889473>, <doi:10.48550/arXiv.1603.09320>.
Author: Peter Kharchenko [aut], Viktor Petukhov [aut], Dirk Eddelbuettel [ctb], Evan Biederstedt [cre, aut]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

Diff between N2R versions 1.0.2 dated 2024-02-26 and 1.0.4 dated 2026-03-06

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Package misty updated to version 0.8.1 with previous version 0.8.0 dated 2026-01-18

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

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Package mapgl updated to version 0.4.5 with previous version 0.4.4 dated 2026-01-12

Title: Interactive Maps with 'Mapbox GL JS' and 'MapLibre GL JS'
Description: Provides an interface to the 'Mapbox GL JS' (<https://docs.mapbox.com/mapbox-gl-js/guides>) and the 'MapLibre GL JS' (<https://maplibre.org/maplibre-gl-js/docs/>) interactive mapping libraries to help users create custom interactive maps in R. Users can create interactive globe visualizations; layer 'sf' objects to create filled maps, circle maps, 'heatmaps', and three-dimensional graphics; and customize map styles and views. The package also includes utilities to use 'Mapbox' and 'MapLibre' maps in 'Shiny' web applications.
Author: Kyle Walker [aut, cre]
Maintainer: Kyle Walker <kyle@walker-data.com>

Diff between mapgl versions 0.4.4 dated 2026-01-12 and 0.4.5 dated 2026-03-06

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Package leidenAlg updated to version 1.1.6 with previous version 1.1.5 dated 2025-04-19

Title: Implements the Leiden Algorithm via an R Interface
Description: An R interface to the Leiden algorithm, an iterative community detection algorithm on networks. The algorithm is designed to converge to a partition in which all subsets of all communities are locally optimally assigned, yielding communities guaranteed to be connected. The implementation proves to be fast, scales well, and can be run on graphs of millions of nodes (as long as they can fit in memory). The original implementation was constructed as a python interface "leidenalg" found here: <https://github.com/vtraag/leidenalg>. The algorithm was originally described in Traag, V.A., Waltman, L. & van Eck, N.J. "From Louvain to Leiden: guaranteeing well-connected communities". Sci Rep 9, 5233 (2019) <doi:10.1038/s41598-019-41695-z>.
Author: Peter Kharchenko [aut], Viktor Petukhov [aut], Yichen Wang [aut], V.A. Traag [ctb], Gabor Csardi [ctb], Tamas Nepusz [ctb], Minh Van Nguyen [ctb], Evan Biederstedt [cre, aut]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

Diff between leidenAlg versions 1.1.5 dated 2025-04-19 and 1.1.6 dated 2026-03-06

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Package highr updated to version 0.12 with previous version 0.11 dated 2024-05-26

Title: Syntax Highlighting for R Source Code
Description: Provides syntax highlighting for R source code. Currently it supports LaTeX and HTML output. Source code of other languages is supported via Andre Simon's highlight package (<https://gitlab.com/saalen/highlight>).
Author: Yihui Xie [aut, cre] , Yixuan Qiu [aut], Christopher Gandrud [ctb], Qiang Li [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package Gmisc updated to version 3.2.0 with previous version 3.1.0 dated 2026-01-12

Title: Descriptive Statistics, Transition Plots, and More
Description: Utilities for common medical-statistics graphics and tables, including automatic creation of publication-ready "Table 1" summaries; transition (Sankey) plots; flow-chart helpers that extend the grid package; Bézier lines and arrows; and a singular-value-decomposition- based variable-selection method.
Author: Max Gordon [aut, cre]
Maintainer: Max Gordon <max@gforge.se>

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 125 files changed, 3799 insertions(+), 1827 deletions(-)

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