Wed, 27 May 2026

Package qch updated to version 2.1.3 with previous version 2.1.2 dated 2026-02-16

Title: Query Composite Hypotheses
Description: Provides functions for the joint analysis of Q sets of p-values obtained for the same list of items. This joint analysis is performed by querying a composite hypothesis, i.e. an arbitrary complex combination of simple hypotheses, as described in Mary-Huard et al. (2021) <doi:10.1093/bioinformatics/btab592> and De Walsche et al.(2025) <doi: 10.1093/nargab/lqaf118>. In this approach, the Q-uplet of p-values associated with each item is distributed as a multivariate mixture, where each of the 2^Q components corresponds to a specific combination of simple hypotheses. The dependence between the p-value series is considered using a Gaussian copula function. A p-value for the composite hypothesis test is derived from the posterior probabilities.
Author: Tristan Mary-Huard [aut, cre] , Annaig De Walsche [aut] , Franck Gauthier [ctb]
Maintainer: Tristan Mary-Huard <tristan.mary-huard@agroparistech.fr>

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Package bravo updated to version 4.0.0 with previous version 3.2.2 dated 2024-10-29

Title: Bayesian Screening and Variable Selection
Description: Performs Bayesian variable screening and selection for ultra-high dimensional linear regression models.Also contains an user friendly web application to perform multi trait GWAS.
Author: Dongjin Li [aut, cre], Debarshi Chakraborty [aut], Somak Dutta [aut], Vivekananda Roy [ctb]
Maintainer: Dongjin Li <liyangxiaobei@gmail.com>

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Package WARDEN updated to version 2.0.3 with previous version 2.0.2 dated 2026-03-18

Title: Workflows for Health Technology Assessments in R using Discrete EveNts
Description: Toolkit to support and perform discrete event simulations with and without resource constraints in the context of health technology assessments (HTA). The package focuses on cost-effectiveness modelling and aims to be submission-ready to relevant HTA bodies in alignment with 'NICE TSD 15' <https://sheffield.ac.uk/nice-dsu/tsds/patient-level-simulation>. More details an examples can be found in the package website <https://jsanchezalv.github.io/WARDEN/>.
Author: Javier Sanchez Alvarez [aut, cre], Gabriel Lemyre [ctb], Valerie Aponte Ribero [ctb]
Maintainer: Javier Sanchez Alvarez <javiersanchezeco@gmail.com>

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Package TLCAR updated to version 0.1.1 with previous version 0.1.0 dated 2024-02-19

Title: Computation of Topp-Leone Cauchy Rayleigh (TLCAR ) distribution's properties
Description: Provides a comprehensive suite of statistical tools for analyzing, simulating, and computing properties of the Topp-Leone Cauchy Rayleigh (TLCAR) distribution, a versatile distribution amalgamating features of the Topp-Leone, Cauchy, and Rayleigh distributions, ideal for modeling intricate, heterogeneous data across scientific domains. See Atchadé, M.N., Bogninou, M.J., and Djibril, A.M. (2023) <doi:10.1007/s44199-023-00066-4> and Atchadé, M.N., Bogninou, M.J., and Djibril, A.M. (2024) <doi:10.1007/s44199-023-00069-1> for further insights.
Author: Mintode Nicodeme Atchade [aut], Jude Mahoule Bogninou [aut, cre]
Maintainer: Jude Mahoule Bogninou <mahoulejude2001@gmail.com>

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Package ReliaPlotR updated to version 0.6 with previous version 0.5 dated 2026-04-18

Title: Interactive Reliability Probability Plots
Description: Build interactive Reliability Probability Plots with 'plotly' by Carson Sievert (2020) <https://plotly.com/r/>, an interactive web-based graphing library.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package mini007 updated to version 0.4.0 with previous version 0.3.0 dated 2026-01-12

Title: Lightweight Framework for Orchestrating Multi-Agent Large Language Models
Description: Provides tools for creating agents with persistent state using R6 classes <https://cran.r-project.org/package=R6> and the 'ellmer' package <https://cran.r-project.org/package=ellmer>. Tracks prompts, messages, and agent metadata for reproducible, multi-turn large language model sessions.
Author: Mohamed El Fodil Ihaddaden [aut, cre]
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>

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Package secr updated to version 5.4.3 with previous version 5.4.2 dated 2026-02-24

Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Author: Murray Efford [aut, cre] , Philipp Jund [ctb] , David Fletcher [ctb] , Yan Ru Choo [ctb]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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Package ReliaLearnR updated to version 0.5 with previous version 0.3 dated 2026-01-06

Title: Learning Modules for Reliability Analysis
Description: Learning modules for reliability analysis including modules for Reliability, Availability, and Maintainability (RAM) Analysis, Life Data Analysis, Reliability Testing, Repairable Systems Analysis, and Reliability Block Diagrams.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package POMADE updated to version 0.2.1 with previous version 0.2.0 dated 2024-02-13

Title: Power for Meta-Analysis of Dependent Effects
Description: Provides functions to compute and plot power levels, minimum detectable effect sizes, and minimum required sample sizes for the test of the overall average effect size in meta-analysis of dependent effect sizes.
Author: Mikkel H. Vembye [aut, cre] , James E. Pustejovsky [aut]
Maintainer: Mikkel H. Vembye <mikkel.vembye@gmail.com>

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Package jskm updated to version 0.6.3 with previous version 0.6.2 dated 2026-03-17

Title: Kaplan-Meier Plot with 'ggplot2'
Description: The function 'jskm()' creates publication quality Kaplan-Meier plot with at risk tables below. 'svyjskm()' provides plot for weighted Kaplan-Meier estimator.
Author: Jinseob Kim [aut, cre] , yoonkyoung Chun [aut], Zarathu [cph, fnd], sungho Choi [aut], Mingu Jee [aut], Wonbin Hahn [aut], Taehong Kim [aut], Sangho Oh [aut], Sewon Lee [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package jewel updated to version 2.0.3 with previous version 2.0.2 dated 2024-05-22

Title: Graphical Models Estimation from Multiple Sources
Description: Estimates networks of conditional dependencies (Gaussian graphical models) from multiple classes of data (similar but not exactly, i.e. measurements on different equipment, in different locations or for various sub-types). Package also allows to generate simulation data and evaluate the performance. Implementation of the method described in Angelini, De Canditiis and Plaksienko (2022) <doi:10.3390/math10213983>.
Author: Anna Plaksienko [aut, cre] , Claudia Angelini [aut] , Daniela De Canditiis [aut]
Maintainer: Anna Plaksienko <anna@plaxienko.com>

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New package ridgeBART with initial version 1.0.2
Package: ridgeBART
Title: Bayesian Additive Regression Trees with Ridge Function Outputs
Version: 1.0.2
Date: 2026-05-19
Description: Implements an extension of Bayesian Additive Regression Trees (BART) in which each regression tree outputs a linear combination of random ridge functions (i.e., a composition of a non-linear function like cosine, hyperbolic tangent, the rectified linear unit with an affine transformation) instead of a constant. Can be used to perform "targeted smoothing" in which trees split on certain covariates but output smooth functions in other covariates. For more information, see Yee, Ghosh, and Deshpande (2026+) <doi:10.48550/arXiv.2411.07984>.
URL: https://github.com/ryanyee3/ridgeBART
License: GPL (>= 3)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
NeedsCompilation: yes
Packaged: 2026-05-19 13:54:58 UTC; sameer
Author: Ryan Yee [aut] , Sameer K. Deshpande [aut, cre]
Maintainer: Sameer K. Deshpande <sameer.deshpande@wisc.edu>
Repository: CRAN
Date/Publication: 2026-05-27 10:30:02 UTC

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Package movedesign updated to version 0.3.3 with previous version 0.3.2 dated 2025-07-30

Title: Study Design Toolbox for Movement Ecology Studies
Description: Toolbox and 'shiny' application to help researchers design movement ecology studies, focusing on two key objectives: estimating home range areas, and estimating fine-scale movement behavior, specifically speed and distance traveled. It provides interactive simulations and methodological guidance to support study planning and decision-making. The application is described in Silva et al. (2023) <doi:10.1111/2041-210X.14153>.
Author: Ines Silva [cre, aut, cph]
Maintainer: Ines Silva <i.simoes-silva@hzdr.de>

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New package twoPhaseGAS with initial version 1.2.5
Package: twoPhaseGAS
Title: Two-Phase Genetic Association Study Design and Analysis with Missing Covariates by Design
Version: 1.2.5
Description: Provides functionality for designing and analysing two-phase genetic association studies. Phase 1 data usually come from genome-wide association study (GWAS) results and we assume phase 2 data will be part of a targeted genome sequencing or fine-mapping study. At design stage, the package assists in selecting a subset of individuals that will be sequenced for phase 2 via alternative approaches, including a flexible genetic algorithm (GA) for near-optimal designs. Once phase 2 data have been collected, the package implements methods to analyse phase 1 and phase 2 data together using semi-parametric regression models via the expectation-maximization (EM) algorithm. For more details see Espin-Garcia, Craiu and Bull (2018) <doi:10.1002/gepi.22099> and Espin-Garcia, Craiu and Bull (2021) <doi:10.1002/sim.9211>.
License: GPL (>= 2)
URL: https://github.com/egosv/twoPhaseGAS
BugReports: https://github.com/egosv/twoPhaseGAS/issues
Depends: R (>= 3.5.0)
Imports: data.table, dfoptim, enrichwith, kofnGA (>= 1.2), MASS, Matrix, nloptr, parallel, stats, utils
Suggests: gplots, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-19 16:07:48 UTC; osvespinga
Author: Osvaldo Espin-Garcia [aut, cre], Apostolos Dimitromanolakis [aut], Radu V Craiu [ths], Shelley B Bull [ths]
Maintainer: Osvaldo Espin-Garcia <oespinga@uwo.ca>
Repository: CRAN
Date/Publication: 2026-05-27 10:00:02 UTC

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New package qcaERT with initial version 0.1.0
Package: qcaERT
Title: Enhanced Robustness Tests for Qualitative Comparative Analysis
Version: 0.1.0
Description: Provides functions for assessing and visualizing robustness in Qualitative Comparative Analysis (QCA) workflows built with the 'QCA' package, including calibration thresholds, inclusion cutoffs, frequency cutoffs, case influence, subsample stability, alternative analysis settings, theory-specific condition sets, cluster-specific patterns, and solution summaries. Methods build on Dusa (2019) <doi:10.1007/978-3-319-75668-4> and Ragin (2014, ISBN:9780520280038).
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr, rmarkdown
Imports: methods, QCA, stats, utils
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-19 15:11:56 UTC; breno
Author: Breno A. H. Marisguia [aut, cre, cph]
Maintainer: Breno A. H. Marisguia <marisguiabreno@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 10:00:09 UTC

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New package nara with initial version 1.0.1
Package: nara
Title: Native Raster Image Tools
Version: 1.0.1
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: Native rasters are a core R image format which use a compact color representation. This color representation closely aligns with graphics device internals meaning that these images can be rendered quickly. This package provides functions to quickly create, manipulate and composite native rasters.
URL: https://github.com/coolbutuseless/nara, https://coolbutuseless.github.io/package/nara/index.html
BugReports: https://github.com/coolbutuseless/nara/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LinkingTo: colorfast
Depends: R (>= 4.1.0)
Imports: colorfast
Suggests: testthat (>= 3.0.0), jpeg, fastpng, png, knitr, rmarkdown, magick
Copyright: The included 'deer' sprites are by Calciumtrice and licensed under CC BY 3.0. See 'inst/LICENSE-deer.txt' for more details. The included bitmap font 'spleen' was created by Frederic Cambus (c) 2018-2024. See 'inst/LICENSE-spleen.txt' for full LICENSE
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-19 12:07:33 UTC; mike
Author: Mike Cheng [aut, cre, cph], Julien Vernay [ctb]
Repository: CRAN
Date/Publication: 2026-05-27 09:30:02 UTC

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New package landmaRk with initial version 0.1.1
Package: landmaRk
Title: Time-to-Event Landmark Analysis using an Array of Longitudinal and Survival Sub-Models
Version: 0.1.1
Description: Provides a modular end-to-end framework for dynamic risk prediction based on time-to-event and longitudinal data. This allows flexible specifications for the longitudinal and survival sub-models. The 'landmaRk' package enables reproducible benchmarks of different model choices, including cross-validation to assess out-of-sample predictive performance. Methods are described in Velasco-Pardo, Constantine-Cooke, Lees and Vallejos (2026, manuscript under preparation) 'Landmarking with Latent Class Mixed Models for Dynamic Prediction of Time-to-event Data with Heterogeneous Biomarker Trajectories'.
License: GPL (>= 3)
BugReports: https://github.com/VallejosGroup/landmaRk/issues
Encoding: UTF-8
Depends: R (>= 4.1.0), survival
Imports: dplyr, ggplot2, lme4, Matrix, methods, pec, riskRegression, rlang, lcmm (>= 2.2.2), doParallel, foreach, utils, timeROC, prodlim
Suggests: JMbayes2, knitr, rmarkdown, testthat (>= 3.0.0), xml2, tidyverse, spelling, joineR, survminer, withr
LazyData: true
VignetteBuilder: knitr
URL: https://vallejosgroup.github.io/landmaRk/, https://github.com/VallejosGroup/landmaRk
Language: en-GB
NeedsCompilation: no
Packaged: 2026-05-18 09:12:58 UTC; vvelasco
Author: Victor Velasco-Pardo [aut, cre] , Nathan Constantine-Cooke [aut] , Catalina Vallejos [aut] , Charlie Lees [aut]
Maintainer: Victor Velasco-Pardo <vvelasco@ed.ac.uk>
Repository: CRAN
Date/Publication: 2026-05-27 10:00:16 UTC

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New package icomb with initial version 0.2.0
Package: icomb
Title: Forecasting Hierarchical Time Series Using Information Combination
Version: 0.2.0
Description: Implements the Information Combination (IComb) approach proposed by Nguyen, Vahid and Wickramasuriya (2025)<https://www.monash.edu/business/ebs/research/publications/ebs/2025/wp11-2025.pdf> for hierarchical forecast reconciliation. The method combines information from base forecasts constructed using different information sets while ensuring coherence. It is implemented using a penalized regression-based framework.
License: GPL (>= 3)
Language: en-US
Encoding: UTF-8
Imports: cli, distributional, dplyr, fabletools (>= 0.7.0), future.apply, generics, glmnet, progressr, purrr, tsibble, vctrs
Suggests: broom, fable, feasts, forecast, future, ggplot2, ggtime, hts, knitr, lubridate, plotly, rmarkdown, spelling, testthat (>= 3.0.0), tibble, tidyr
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
URL: https://shanikalw.github.io/icomb/, https://github.com/ShanikaLW/icomb
BugReports: https://github.com/ShanikaLW/icomb/issues
NeedsCompilation: no
Packaged: 2026-05-19 12:53:03 UTC; shanikaw
Author: Shanika Wickramasuriya [aut, cre, cph], Mitchell O'Hara-Wild [ctb], Nuwani Palihawadana [ctb], Minh Nguyen [ctb]
Maintainer: Shanika Wickramasuriya <shanika.wickramasuriya@monash.edu>
Repository: CRAN
Date/Publication: 2026-05-27 09:30:08 UTC

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New package icdhelper with initial version 0.1.2
Package: icdhelper
Title: Simple 'ICD-10' Code Descriptions
Version: 0.1.2
Description: Provides utilities to retrieve and manage 'ICD-10' code descriptions from 'Excel' files. Supports vectors, data frame columns, and association rule outputs (e.g., 'arules' objects) that require mapping to 'ICD-10' descriptions. Designed to simplify processing of healthcare datasets.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: readxl, arules, utils
NeedsCompilation: no
Packaged: 2026-05-19 13:09:05 UTC; nishg
Author: Nisha Sheshashayee [aut, cre]
Maintainer: Nisha Sheshashayee <sheshana@mail.uc.edu>
Repository: CRAN
Date/Publication: 2026-05-27 09:40:02 UTC

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New package hmmTensor with initial version 0.1.0
Package: hmmTensor
Title: Hidden Markov Model by Matrix and Tensor Decomposition
Version: 0.1.0
Description: Solves Hidden Markov Models (HMMs) via matrix and tensor decomposition. Converts observation sequences to co-occurrence matrices/tensors and applies Symmetric Non-negative Matrix Factorization (symNMF), Singular Value Decomposition (SVD), CANDECOMP/PARAFAC (CP) decomposition, or Tensor-Train (TT) decomposition to recover HMM parameters. Also provides standard HMM algorithms (Forward, Backward, Viterbi, Baum-Welch) for comparison. The spectral learning approach for HMMs is based on Hsu, Kakade, and Zhang (2012) <doi:10.1016/j.jcss.2011.12.025>. The symNMF method is described in Kuang, Yun, and Park (2015) <doi:10.1007/s10898-014-0247-2>. The Tensor-Train decomposition is described in Oseledets (2011) <doi:10.1137/090752286>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: rTensor, symTensor, methods, stats
Suggests: testthat
NeedsCompilation: no
Packaged: 2026-05-19 11:03:11 UTC; koki
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>
Repository: CRAN
Date/Publication: 2026-05-27 09:10:02 UTC

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New package highdir with initial version 0.5.0
Package: highdir
Title: Backend-Agnostic Figure Builder for 'highcharter' and 'ggplot2'
Version: 0.5.0
Description: Provides a backend-agnostic 'API' for creating data visualizations using 'highcharter' (interactive) or 'ggplot2' (static). Figures are defined once via a specification object and can be rendered to either backend without modifying the calling code. Supports both declarative and layered workflows, flexible theming and colour palettes, optional 'JavaScript' enhancements, and tools for exporting figures and interactive exploration via a 'shiny' app.
URL: https://folkehelsestats.github.io/highdir/, https://github.com/folkehelsestats/highdir
BugReports: https://github.com/folkehelsestats/highdir/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: highcharter (>= 0.9.4), ggplot2 (>= 3.4.0), htmlwidgets (>= 1.6.0), jsonlite (>= 1.8.0), rlang (>= 1.1.0), viridis (>= 0.6.0), shiny (>= 1.7.0), tools, utils, stats
Suggests: sf (>= 1.0.0), maps (>= 3.4.0), webshot2, bslib (>= 0.7.0), testthat (>= 3.0.0), withr (>= 2.5.0), data.table, knitr, rmarkdown, tibble
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-19 13:26:55 UTC; ykama
Author: Yusman Kamaleri [aut, cre]
Maintainer: Yusman Kamaleri <ybkamaleri@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 09:40:06 UTC

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New package ggsql with initial version 0.3.2
Package: ggsql
Title: Grammar of Graphics for SQL
Version: 0.3.2
Description: Allows you to write queries that combine SQL (Structured Query Language) data retrieval with visualization specifications in a single, composable syntax. The 'ggsql' package binds directly with the 'ggsql' 'Rust' library and allows you to set up readers and writers and execute queries against it. The package also offers 'knitr' and 'shiny' integration allowing the user to use 'ggsql' in both frameworks.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc, ODBC driver manager (unixODBC on Linux, iODBC or unixODBC on macOS; built into Windows)
Imports: cli, htmltools, htmlwidgets, jsonlite, knitr, nanoarrow, R6, rlang (>= 1.1.0), yaml
Suggests: gapminder, quarto, reticulate, rmarkdown, rsvg, shiny, testthat (>= 3.0.0), V8, withr
Depends: R (>= 4.2)
VignetteBuilder: quarto
URL: https://r.ggsql.org, https://github.com/posit-dev/ggsql-r
BugReports: https://github.com/posit-dev/ggsql-r/issues
NeedsCompilation: yes
Packaged: 2026-05-19 08:24:47 UTC; thomas
Author: Thomas Lin Pedersen [aut, cre] , George Stagg [aut] , Teun van den Brand [aut] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>
Repository: CRAN
Date/Publication: 2026-05-27 09:10:08 UTC

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New package ggcube with initial version 0.1.0
Package: ggcube
Title: 3D Plotting with 'ggplot2'
Version: 0.1.0
Description: A 'ggplot2' extension for creating 3D figures. Provides 3D geoms, stats, and a coord_3d() coordinate system supporting rotation, perspective, and lighting.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/matthewkling/ggcube, https://matthewkling.github.io/ggcube/
BugReports: https://github.com/matthewkling/ggcube/issues
Depends: R (>= 3.5), ggplot2
Imports: dplyr, tidyr, stringr, scales, rlang, grid, lifecycle, labeling, purrr, magrittr, polyclip, isoband, systemfonts
Suggests: alphashape3d, av, base64enc, geometry, gifski, knitr, MASS, mgcv, patchwork, progress, ragg, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-19 15:35:57 UTC; matthewkling
Author: Matthew Kling [aut, cre, cph]
Maintainer: Matthew Kling <mattkling@berkeley.edu>
Repository: CRAN
Date/Publication: 2026-05-27 10:00:23 UTC

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New package CoalescentPhylo with initial version 0.1.0
Package: CoalescentPhylo
Title: Phylogenetics via Root Distances Method Under the Coalescent
Version: 0.1.0
Description: Estimates phylogenetic trees from allele count data using the root distance method under the Coalescent Model. Given a matrix of allele counts across taxa and loci, the package estimates pairwise root distances under the Coalescent Model using maximum likelihood estimation. Then, it estimates a labeled phylogenetic tree from the estimated root distances. See Peng et al. (2021) <doi:10.1016/j.ympev.2021.107142>.
License: AGPL-3
URL: https://github.com/ArindamRoyChoudhury/CoalescentPhylo
BugReports: https://github.com/ArindamRoyChoudhury/CoalescentPhylo/issues
Depends: R (>= 3.5.0)
Imports: ape, parallel, pbapply, phangorn, rootSolve
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-05-19 13:55:39 UTC; yingli
Author: Arindam RoyChoudhury [aut, cre, cph], Ying Li [aut]
Maintainer: Arindam RoyChoudhury <arr2014@med.cornell.edu>
Repository: CRAN
Date/Publication: 2026-05-27 09:50:02 UTC

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New package BIOEFIC with initial version 0.1.1
Package: BIOEFIC
Title: Relative Bioefficiency via Simultaneous Regressions
Version: 0.1.1
Description: Fits simultaneous regression models to compare two sources (reference and test) and estimates relative bioefficiency. Includes simultaneous exponential model with common asymptote (model = 1), slope-ratio model (model = 2), quadratic model (model = 3), linear-response plateau model (model = 4), and Michaelis-Menten model (model = 5). Output style follows the 'easyreg' package. Methods are based on Finney (1978, ISBN:0-85264-252-0), Mercer et al. (1978) <doi:10.1093/jn/108.8.1244>, Robbins et al. (1979) <doi:10.1093/jn/109.10.1710>, Noll et al. (1984) <doi:10.3382/ps.0632458>, Gallant and Fuller (1973) <doi:10.1080/01621459.1973.10481356>, Littell et al. (1997) <doi:10.2527/1997.75102672x>, and Burnham and Anderson (2002, ISBN:978-0-387-95364-9).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: ggplot2, minpack.lm, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-19 11:51:52 UTC; Michel
Author: Michel Blezins de Arruda [aut, cre]
Maintainer: Michel Blezins de Arruda <michel_blezins@yahoo.com.br>
Repository: CRAN
Date/Publication: 2026-05-27 09:20:07 UTC

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New package astronomR with initial version 0.1.0
Package: astronomR
Title: Cosmic Insights: Statistical Frameworks for Astronomers
Version: 0.1.0
Description: A comprehensive toolkit for astronomical and cosmological computations. Provides functions for angular coordinate conversions (degrees, hours-minutes-seconds, degrees-minutes-seconds, and radians), access to fundamental physical constants, queries to the Gaia Archive TAP (Table Access Protocol) service, cosmological distance calculations, and early-universe thermal physics including photon density and 'Saha' equation solutions.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/samrit2442/astronomR
BugReports: https://github.com/samrit2442/astronomR/issues
Imports: dplyr, httr, jsonlite, pracma, readr, stringr, tibble, tidyr
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-19 12:08:19 UTC; samri
Author: Samrit Pramanik [aut, cre] , Kazi Abu Rousan [aut]
Maintainer: Samrit Pramanik <samrit.2442@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 09:20:02 UTC

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New package AIGovernance with initial version 0.1.0
Package: AIGovernance
Title: Statistical Auditing and Governance Reporting for Employment AI Systems
Version: 0.1.0
Description: Provides statistical auditing, risk documentation, and reporting tools to support AI governance workflows for employment and hiring decision systems. Implements the EEOC four-fifths adverse impact rule (Equal Employment Opportunity Commission, 1978, <https://www.ecfr.gov/current/title-29/subtitle-B/chapter-XIV/part-1607>), NYC Local Law 144 bias audit requirements (New York City, 2023, <https://www.nyc.gov/site/dca/about/automated-employment-decision-tools.page>), and the AI Risk Management Framework checklist items from the National Institute of Standards and Technology (2023, <doi:10.6028/NIST.AI.100-1>). Optionally supports EU AI Act high-risk classification (European Parliament and Council, 2024, <https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689>). The package does not provide legal advice or certify legal compliance; it is a statistical and documentation support tool.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: cli, rlang, stats, tibble, dplyr
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/causalfragility-lab/AIGovernance
BugReports: https://github.com/causalfragility-lab/AIGovernance/issues
NeedsCompilation: no
Packaged: 2026-05-19 14:37:57 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-05-27 09:50:07 UTC

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Package preseqR (with last version 4.0.0) was removed from CRAN

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2018-06-27 4.0.0
2017-08-15 3.1.2
2017-07-27 3.1.1
2017-05-21 3.1.0
2017-04-19 3.0.1

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

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2025-07-01 0.2.2
2023-06-10 0.2.1
2023-01-15 0.2.0
2022-09-11 0.1.3
2022-06-20 0.1.2
2022-01-11 0.1.1
2022-01-07 0.1.0

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

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2018-08-31 1.0

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Package pwr2 (with last version 1.0) was removed from CRAN

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2017-05-06 1.0

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

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2018-06-19 0.1.1

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Package radarchart (with last version 0.3.1) was removed from CRAN

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2016-12-20 0.3.1
2016-05-09 0.2.0
2016-02-25 0.1.2
2016-02-23 0.1.1

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Package EESPCA (with last version 0.8.0) was removed from CRAN

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2025-07-21 0.8.0
2022-06-15 0.7.0
2022-05-16 0.6.0
2021-10-13 0.5.0
2021-10-06 0.4.0
2021-07-16 0.3.0

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Package HDCI (with last version 1.0-2) was removed from CRAN

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2017-06-06 1.0-2

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Package PLMIX (with last version 2.2.0) was removed from CRAN

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2025-06-30 2.2.0
2019-09-04 2.1.1
2019-08-03 2.1.0
2018-05-02 2.0.1
2018-02-05 2.0
2016-12-21 1.0

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Package PSS.Health (with last version 1.1.5) was removed from CRAN

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2025-11-23 1.1.5
2024-12-20 1.1.4
2023-07-14 1.0.2
2023-06-16 1.0.1
2023-02-01 0.6.1
2022-07-06 0.5.1
2022-03-29 0.4.0
2021-10-07 0.3.1
2021-06-17 0.2.1
2021-04-08 0.1.6
2020-11-30 0.1.5
2020-11-12 0.1.4

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

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2024-02-22 0.1.1
2023-06-06 0.1.0
2021-12-06 0.0.7
2021-12-03 0.0.6

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Package ACSSpack (with last version 1.0.0.2) was removed from CRAN

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2025-10-11 1.0.0.2
2024-07-04 0.0.1.4

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Package LPRelevance (with last version 3.3) was removed from CRAN

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2022-05-18 3.3
2021-04-22 3.2
2020-05-16 3.1
2020-03-29 3.0
2019-10-07 2.1
2019-09-06 2.0
2019-08-05 1.0

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

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2017-10-06 1.0

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Package foreSIGHT (with last version 2.0.0) was removed from CRAN

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2025-09-14 2.0.0
2023-10-19 1.2.0
2022-10-25 1.1.0
2020-12-17 1.0.0
2019-12-04 0.9.81
2019-08-03 0.9.8

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Package BayesGOF (with last version 5.2) was removed from CRAN

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2018-10-09 5.2
2018-10-05 5.1
2018-10-04 5.0
2018-08-15 4.2
2018-05-17 4.0
2018-04-13 3.0
2018-02-08 2.1
2018-01-05 1.4
2017-11-16 1.3

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New package rxref with initial version 0.4.0
Package: rxref
Title: Tidy Utilities for RxNorm and NDC Resolution
Version: 0.4.0
Description: Provides a tidy, vectorized interface to the 'RxNorm' / 'RxNav' API for resolving drug names, RxCUIs, National Drug Codes (NDCs), and related drug concept metadata. The package supports workflows for mapping between drug names, RxCUIs, NDCs, ingredients, products, drug classes, and related concepts using data from the National Library of Medicine's 'RxNav' services <https://lhncbc.nlm.nih.gov/RxNav/APIs/> and 'RxNorm' <https://www.nlm.nih.gov/research/umls/rxnorm/>.
License: MIT + file LICENSE
URL: https://github.com/ssmithm/rxref, https://www.stevenmsmith.org/rxref/
BugReports: https://github.com/ssmithm/rxref/issues
Depends: R (>= 4.1)
Imports: cachem, cli, digest, dplyr, httr2 (>= 1.0.0), jsonlite, lifecycle, memoise, purrr, rlang, stringr, tibble, tidyr, vctrs
Suggests: curl, knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-19 05:18:07 UTC; ssmithm
Author: Steven Smith [aut, cre]
Maintainer: Steven Smith <ssmith@cop.ufl.edu>
Repository: CRAN
Date/Publication: 2026-05-27 08:50:02 UTC

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New package ParmOff with initial version 1.0.2
Package: ParmOff
Title: Complex Argument Matching
Version: 1.0.2
Date: 2026-05-19
Description: Allows for highly flexible and generic function argument matching.
License: LGPL-3
Encoding: UTF-8
Imports: checkmate
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, magicaxis
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-19 06:20:55 UTC; aaron
Author: Aaron Robotham [aut, cre]
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>
Repository: CRAN
Date/Publication: 2026-05-27 08:50:09 UTC

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New package mhn with initial version 0.1.0
Package: mhn
Title: The Modified Half-Normal Distribution
Version: 0.1.0
Description: Provides density, distribution, quantile, and random generation functions for the Modified Half-Normal (MHN) distribution, along with moments, mode, and the Fox-Wright Psi function used as the normalizing constant. The MHN distribution arises as a conditional posterior in Bayesian MCMC and generalizes the half-normal, truncated normal, and square-root gamma distributions. Implements efficient sampling via the Sun, Kong & Pal (2023) <doi:10.1080/03610926.2021.1934700> algorithms and the Gao & Wang (2025) <doi:10.1080/03610918.2025.2524551> RTDR method.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, Rcpp (>= 1.0.7)
LinkingTo: Rcpp, BH (>= 1.78.0-0)
SystemRequirements: C++17
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, bench, Rmpfr
VignetteBuilder: knitr
URL: https://github.com/t-momozaki/mhn, https://t-momozaki.github.io/mhn/
BugReports: https://github.com/t-momozaki/mhn/issues
NeedsCompilation: yes
Packaged: 2026-05-18 23:23:51 UTC; t_momozaki
Author: Tomotaka Momozaki [aut, cre]
Maintainer: Tomotaka Momozaki <momozaki.stat@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 08:30:02 UTC

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New package HelloFrog with initial version 0.1.1
Package: HelloFrog
Title: A Quirky ASCII-Art Frog Alternative to 'print'
Version: 0.1.1
Description: Prints a user-supplied message alongside a small ASCII-art frog in one of several moods (default, sleepy, angry, party, ninja). Designed as a quirky alternative to 'print' for adding visual flair to console output in scripts, demos, teaching materials, and command-line tools.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-19 06:36:42 UTC; linoyl
Author: Linoy Levi [aut, cre]
Maintainer: Linoy Levi <linoyl@jfrog.com>
Repository: CRAN
Date/Publication: 2026-05-27 08:50:14 UTC

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New package GEMSS with initial version 0.1.1
Package: GEMSS
Title: Generalization Error Minimization in SubSampling for Gaussian Processes
Version: 0.1.1
Description: Implements the Generalization Error Minimization in SubSampling (GEMSS) algorithm for sequential subdata selection in large-scale Gaussian process modeling (Chang, Hua, and Wu, 2026) <doi:10.1080/00401706.2026.2670596>. The method selects data points by a criterion consisting of predictive and space-filling parts, enabling efficient surrogate modeling for massive datasets.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0), hetGP, twinning
Suggests: ContourFunctions
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-05-19 09:06:41 UTC; qq488
Author: Sheng-Zhan Hua [aut, cre]
Maintainer: Sheng-Zhan Hua <szhua@g.ucla.edu>
Repository: CRAN
Date/Publication: 2026-05-27 08:50:19 UTC

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New package FastSurvival with initial version 0.1.0
Package: FastSurvival
Title: Fast Kaplan-Meier, Log-Rank, and Hazard Ratio Estimation for Survival Analysis
Version: 0.1.0
Description: Provides fast alternatives to standard survival analysis functions in the 'survival' package. The package implements a single-time-point Kaplan-Meier estimator (survfit_fast()), a log-rank test (survdiff_fast()), a closed-form hazard ratio estimator based on the Pike-Halley Estimator method (coxph_fast()), and a clinical trial data simulator (simdata_fast()). All functions are designed for repeated evaluation inside large simulation loops, such as adaptive sample-size re-estimation, probability-of-success calculations, and regional consistency evaluation in multi-regional trials. Core computations are implemented in 'C++' via 'Rcpp' for maximum performance. Methodological background is described in Collett (2014, ISBN:9780429196294).
License: MIT + file LICENSE
URL: https://github.com/gosukehommaEX/FastSurvival
BugReports: https://github.com/gosukehommaEX/FastSurvival/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: dqrng, Rcpp
LinkingTo: Rcpp, dqrng
Suggests: survival, microbenchmark, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-18 23:44:47 UTC; i_lik
Author: Gosuke Homma [aut, cre]
Maintainer: Gosuke Homma <my.name.is.gosuke@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 08:40:07 UTC

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New package bvarnet with initial version 1.0.0
Package: bvarnet
Title: Bayesian Estimation of Dynamic VAR Models using STAN
Version: 1.0.0
Author: Florian Metwaly [aut, cre, cph]
Maintainer: Florian Metwaly <f.j.metwaly@uva.nl>
Description: Bayesian estimation of multilevel Vector Autoregression (VAR) models using Stan. Supports Gaussian, Binary, and Ordinal (adjacent category) outcome variables with random effects and customizable priors.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://flo1met.github.io/bvarnet/, https://github.com/flo1met/bvarnet
BugReports: https://github.com/flo1met/bvarnet/issues
Additional_repositories: https://mc-stan.org/r-packages/
Imports: instantiate, logspline, mvtnorm, posterior
Suggests: cmdstanr, bayesplot, knitr, qgraph, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-05-19 10:29:47 UTC; florianmetwaly
Repository: CRAN
Date/Publication: 2026-05-27 09:00:02 UTC

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Package aemo updated to version 0.4.1 with previous version 0.4.0 dated 2026-04-28

Title: Download Australian Energy Market Operator Data
Description: Fetch Australian Energy Market Operator (AEMO) public data from 'NEMweb' <http://nemweb.com.au> and the Market Management System Data Model (MMSDM) historical archive. Provides tidy access to 5-minute and 30-minute wholesale electricity prices, regional demand, dispatch-unit output, interconnector flows, rooftop photovoltaic generation, generator bids, predispatch forecasts, frequency control ancillary services markets, and gas market data across the National Electricity Market (NEM) regions. Data is published by AEMO under its Copyright Permissions Notice <https://www.aemo.com.au/privacy-and-legal-notices/copyright-permissions>.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between aemo versions 0.4.0 dated 2026-04-28 and 0.4.1 dated 2026-05-27

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New package aedl with initial version 0.1.0
Package: aedl
Title: Almost-Exact Inference for the DerSimonian-Laird Test Statistic
Version: 0.1.0
Description: Implements almost-exact inference for the DerSimonian-Laird test statistic in the normal-normal random-effects meta-analysis model, as described in Hanada and Sugimoto (2023) <doi:10.1007/s10463-022-00844-4>. The method approximates the distribution of the DerSimonian-Laird test statistic by combining the distribution of the untruncated DerSimonian-Laird estimator of the between-study variance with a conditional normal approximation. Methods based on a plug-in between-study variance and a corrected heterogeneity measure are provided.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, withr
Suggests: testthat (>= 3.0.0), metadat
NeedsCompilation: no
Packaged: 2026-05-19 00:07:18 UTC; keisu
Author: Keisuke Hanada [aut, cre]
Maintainer: Keisuke Hanada <keisuke.hanada.87@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 08:40:02 UTC

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Package SeroTrackR updated to version 1.1.1 with previous version 1.1.0 dated 2026-05-22

Title: Serology-Based Data Analysis and Visualization
Description: Data wrangling and cleaning, quality control checks and implementation of machine learning classification algorithm.
Author: Dionne Argyropoulos [aut, cre]
Maintainer: Dionne Argyropoulos <argyropoulos.d@wehi.edu.au>

Diff between SeroTrackR versions 1.1.0 dated 2026-05-22 and 1.1.1 dated 2026-05-27

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Package rwicc readmission to version 0.2.0 with previous version 0.1.3 dated 2022-03-09

Title: Regression with Interval-Censored Covariates
Description: Provides functions to simulate and analyze data for a regression model with an interval censored covariate, as described in Morrison et al. (2021) <doi:10.1111/biom.13472>.
Author: Douglas Ezra Morrison [aut, cre, cph] , Ron Brookmeyer [aut]
Maintainer: Douglas Ezra Morrison <demorrison@ucdavis.edu>

This is a re-admission after prior archival of version 0.1.3 dated 2022-03-09

Diff between rwicc versions 0.1.3 dated 2022-03-09 and 0.2.0 dated 2026-05-27

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Package rsolr updated to version 0.0.14 with previous version 0.0.13 dated 2022-05-18

Title: R to Solr Interface
Description: A comprehensive R API for querying Apache Solr databases. A Solr core is represented as a data frame or list that supports Solr-side filtering, sorting, transformation and aggregation, all through the familiar base R API. Queries are processed lazily, i.e., a query is only sent to the database when the data are required.
Author: Michael Lawrence [aut, cre], Gabe Becker [aut], Jan Vogel [aut]
Maintainer: Michael Lawrence <lawremi@gmail.com>

Diff between rsolr versions 0.0.13 dated 2022-05-18 and 0.0.14 dated 2026-05-27

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Package rappsflyer updated to version 0.3.2 with previous version 0.2.0 dated 2021-03-22

Title: Work with AppsFlyer API
Description: Loading data from AppsFlyer Pull API <https://support.appsflyer.com/hc/en-us/articles/207034346-Pull-API-aggregate-data>.
Author: Alexey Seleznev [aut, cre]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

Diff between rappsflyer versions 0.2.0 dated 2021-03-22 and 0.3.2 dated 2026-05-27

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Package opalr updated to version 3.6.1 with previous version 3.6.0 dated 2026-04-17

Title: 'Opal' Data Repository Client and 'DataSHIELD' Utils
Description: Data integration Web application for biobanks by 'OBiBa'. 'Opal' is the core database application for biobanks. Participant data, once collected from any data source, must be integrated and stored in a central data repository under a uniform model. 'Opal' is such a central repository. It can import, process, validate, query, analyze, report, and export data. 'Opal' is typically used in a research center to analyze the data acquired at assessment centres. Its ultimate purpose is to achieve seamless data-sharing among biobanks. This 'Opal' client allows to interact with 'Opal' web services and to perform operations on the R server side. 'DataSHIELD' administration tools are also provided.
Author: Yannick Marcon [aut, cre] , Amadou Gaye [ctb] , OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

Diff between opalr versions 3.6.0 dated 2026-04-17 and 3.6.1 dated 2026-05-27

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More information about opalr at CRAN
Permanent link

Package GWnorm updated to version 1.0.1 with previous version 1.0 dated 2026-04-16

Title: G-Wishart Normalising Constants for Gaussian Graphical Models
Description: Computes G-Wishart normalising constants through a Fourier approach. Either exact analytical results, numerical integration or Monte Carlo estimation are employed. Details at C. Wong, G. Moffa and J. Kuipers (2024), <doi:10.48550/arXiv.2404.06803>. Also includes approximations of the ratio of normalising constants, see details at C. Wong, G. Moffa and J. Kuipers (2025), <doi:10.48550/arXiv.2503.13046>.
Author: Ching Wong [aut], Jack Kuipers [aut, cre]
Maintainer: Jack Kuipers <jack.kuipers@bsse.ethz.ch>

Diff between GWnorm versions 1.0 dated 2026-04-16 and 1.0.1 dated 2026-05-27

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Package educabR updated to version 1.0.0 with previous version 0.9.1 dated 2026-04-06

Title: Download and Process Brazilian Education Data from INEP
Description: Download and process public education data from INEP (Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira). Provides functions to access microdata from the School Census (Censo Escolar), ENEM (Exame Nacional do Ensino Médio), SAEB (Sistema de Avaliação da Educação Básica), Higher Education Census (Censo da Educação Superior), ENADE (Exame Nacional de Desempenho dos Estudantes), ENCCEJA (Exame Nacional para Certificação de Competências de Jovens e Adultos), IDD (Indicador de Diferença entre os Desempenhos Observado e Esperado), CPC (Conceito Preliminar de Curso), IGC (Índice Geral de Cursos), CAPES graduate education data, FUNDEB (Fundo de Manutencao e Desenvolvimento da Educacao Basica), IDEB (Índice de Desenvolvimento da Educação Básica), and other educational datasets. Returns data in tidy format ready for analysis. Data source: INEP Open Data Portal <https://www.gov.br/inep/pt-br/acesso-a-informacao/dados-abertos>.
Author: Sidney da Silva Pereira Bissoli [aut, cre]
Maintainer: Sidney da Silva Pereira Bissoli <sbissoli76@gmail.com>

Diff between educabR versions 0.9.1 dated 2026-04-06 and 1.0.0 dated 2026-05-27

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More information about educabR at CRAN
Permanent link

Package autoFC updated to version 1.0.0.1000 with previous version 0.2.0.1010 dated 2026-04-29

Title: Automatic Toolkit for Construction, Optimization, Scoring and Simulation of Forced-Choice Tests
Description: Forced-choice (FC) response has gained increasing popularity and interest for its resistance to faking when well-designed (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>). To established well-designed FC scales, typically each item within a block should measure different trait and have similar level of social desirability (Zhang et al., 2020 <doi:10.1177/1094428119836486>). Recent study also suggests the importance of high inter-item agreement of social desirability between items within a block (Pavlov et al., 2021 <doi:10.31234/osf.io/hmnrc>). In addition to this, FC developers may also need to maximize factor loading differences (Brown & Maydeu-Olivares, 2011 <doi:10.1177/0013164410375112>) or minimize item location differences (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>) depending on scoring models. Decision of which items should be assigned to the same block, also called as item pairing, is thus critical to the quality of an FC test. Becau [...truncated...]
Author: Mengtong Li [cre, aut] , Tianjun Sun [aut] , Bo Zhang [aut]
Maintainer: Mengtong Li <mt_li@fudan.edu.cn>

Diff between autoFC versions 0.2.0.1010 dated 2026-04-29 and 1.0.0.1000 dated 2026-05-27

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Package admiraldev updated to version 1.4.1 with previous version 1.4.0 dated 2026-01-14

Title: Utility Functions and Development Tools for the Admiral Package Family
Description: Utility functions to check data, variables and conditions for functions used in 'admiral' and 'admiral' extension packages. Additional utility helper functions to assist developers with maintaining documentation, testing and general upkeep of 'admiral' and 'admiral' extension packages.
Author: Edoardo Mancini [aut, cre] , Stefan Bundfuss [aut] , Arianna Cascone [aut] , Jeffrey Dickinson [aut], Ross Farrugia [aut], Fanny Gautier [aut], Gordon Miller [aut], Daniel Sjoberg [aut] , Ben Straub [aut], Stefan Thoma [aut] , F. Hoffmann-La Roche AG [...truncated...]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>

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Package a11yShiny updated to version 0.1.4 with previous version 0.1.3 dated 2026-03-30

Title: Accessibility Enhancements to Popular R Shiny Functions
Description: Accessible wrappers for popular 'shiny' UI components, enforcing ARIA attributes and structural requirements in line with BITV 2.0 (Barrierefreie-Informationstechnik-Verordnung) and WCAG 2.1 AA. Covers action buttons, text and select inputs, fluid page layouts with HTML landmarks and skip links, 'DT' data tables, and bar and line graphs from 'ggplot2'. Components validate label presence, expose keyboard-accessible ARIA states, and provide a high-contrast toggle. This package was developed by d-fine GmbH on behalf of the German Federal Ministry of Research, Technology and Space (BMFTR).
Author: Jan Liebnitzky [aut, cre]
Maintainer: Jan Liebnitzky <datenlabor@bmftr.bund.de>

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Package VisitorCounts updated to version 2.0.4 with previous version 2.0.3 dated 2025-01-15

Title: Modeling and Forecasting Visitor Counts Using Social Media
Description: Performs modeling and forecasting of park visitor counts using social media data and (partial) on-site visitor counts. Specifically, the model is built based on an automatic decomposition of the trend and seasonal components of the social media-based park visitor counts, from which short-term forecasts of the visitor counts and percent changes in the visitor counts can be made. A reference for the underlying model that 'VisitorCounts' uses can be found at Russell Goebel, Austin Schmaltz, Beth Ann Brackett, Spencer A. Wood, Kimihiro Noguchi (2023) <doi:10.1002/for.2965> .
Author: Robert Bowen [aut, cre], Russell Goebel [aut], Beth Ann Brackett [ctb], Kimihiro Noguchi [aut], Dylan Way [aut]
Maintainer: Robert Bowen <robertbowen.bham@gmail.com>

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Package venny updated to version 0.0.3 with previous version 0.0.2 dated 2026-05-21

Title: Venn Diagram
Description: Generate Venn plots, summary tables, and ellipse paths for polygon clipping. Provides direct access to subsets of interest and offers flexible customization of Venn diagrams. Summary tables are also available when Venn diagram visualization is not suitable.
Author: Joon-Keat Lai [aut, cre, cph]
Maintainer: Joon-Keat Lai <p10911004@gmail.com>

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Package TwoWayFEWeights updated to version 2.1.0 with previous version 2.0.4 dated 2024-07-26

Title: Estimation of the Weights Attached to the Two-Way Fixed Effects Regressions
Description: Computes the implicit weights attached to two-way fixed effects regressions, as well as summary measures of these regressions' robustness to heterogeneous treatment effects. Based on de Chaisemartin and D'Haultfoeuille (2020) <DOI:10.1257/aer.20181169>.
Author: Anzony Quispe [aut, cre], Diego Ciccia [aut], Felix Knau [aut], Melitine Malezieux [aut], Doulo Sow [aut], Shuo Zhang [aut], Clement de Chaisemartin [aut], Grant McDermott [ctb]
Maintainer: Anzony Quispe <anzony.quispe@gmail.com>

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Package tipmap updated to version 1.0.0 with previous version 0.5.2 dated 2023-08-14

Title: Tipping Point Analysis for Bayesian Dynamic Borrowing
Description: Tipping point analysis for clinical trials that employ Bayesian dynamic borrowing via robust meta-analytic predictive (MAP) priors. Further functions facilitate expert elicitation of a primary weight of the informative component of the robust MAP prior and computation of operating characteristics. Intended use is the planning, analysis and interpretation of extrapolation studies in pediatric drug development, but applicability is generally wider.
Author: Christian Stock [aut, cre] , Morten Dreher [aut], Lars Andersen [aut], Emma Torrini [ctb], Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd]
Maintainer: Christian Stock <christian.stock@boehringer-ingelheim.com>

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Package symmoments updated to version 1.2.2 with previous version 1.2.1.1 dated 2025-12-12

Title: Symbolic Central and Noncentral Moments of the Multivariate Normal Distribution
Description: Symbolic central and non-central moments of the multivariate normal distribution. Computes a standard representation, LateX code, and values at specified mean and covariance matrices.
Author: Kem Phillips [aut], Florian Schuberth [aut, cre]
Maintainer: Florian Schuberth <f.schuberth@utwente.nl>

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Package PhenotypeR updated to version 0.5.0 with previous version 0.4.0 dated 2026-04-16

Title: Assess Study Cohorts Using a Common Data Model
Description: Phenotype study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model. Diagnostics are run at the database, code list, cohort, and population level to assess whether study cohorts are ready for research.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Xihang Chen [aut] , Marta Alcalde-Herraiz [aut] , Nuria Mercade-Besora [aut] , Albert Prats-Uribe [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package oppr updated to version 1.1.0 with previous version 1.0.5 dated 2025-06-27

Title: Optimal Project Prioritization
Description: A decision support tool for prioritizing conservation projects. Prioritizations can be developed by maximizing expected feature richness, expected phylogenetic diversity, the number of features that meet persistence targets, or identifying a set of projects that meet persistence targets for minimal cost. Constraints (e.g. lock in specific actions) and feature weights can also be specified to further customize prioritizations. After defining a project prioritization problem, solutions can be obtained using exact algorithms, heuristic algorithms, or random processes. In particular, it is recommended to install the 'Gurobi' optimizer (available from <https://www.gurobi.com>) because it can identify optimal solutions very quickly. The 'rcbc' R package (available at <https://github.com/dirkschumacher/rcbc>) can also be used to generate solutions using the CBC optimization software (<https://github.com/coin-or/Cbc>). Finally, methods are provided for comparing different pri [...truncated...]
Author: Jeffrey O Hanson [aut, cre] , Richard Schuster [aut] , Matthew Strimas-Mackey [aut] , Joseph R Bennett [aut]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>

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Package Cyclops updated to version 3.7.1 with previous version 3.7.0 dated 2026-02-28

Title: Cyclic Coordinate Descent for Logistic, Poisson and Survival Analysis
Description: This model fitting tool incorporates cyclic coordinate descent and majorization-minimization approaches to fit a variety of regression models found in large-scale observational healthcare data. Implementations focus on computational optimization and fine-scale parallelization to yield efficient inference in massive datasets. Please see: Suchard, Simpson, Zorych, Ryan and Madigan (2013) <doi:10.1145/2414416.2414791>.
Author: Marc A. Suchard [aut, cre], Martijn J. Schuemie [aut], Trevor R. Shaddox [aut], Yuxi Tian [aut], Jianxiao Yang [aut], Eric Kawaguchi [aut], Sushil Mittal [ctb], Observational Health Data Sciences and Informatics [cph], Marcus Geelnard [cph, ctb] , Ru [...truncated...]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

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Package Certara.RsNLME.ModelExecutor updated to version 3.1.0 with previous version 3.0.2 dated 2025-03-19

Title: Execute Pharmacometric Models Using 'shiny'
Description: Execute Nonlinear Mixed Effects (NLME) models for pharmacometrics using a 'shiny' interface. Specify engine parameters and select from different run options, including simple estimation, stepwise covariate search, bootstrapping, simulation, visual predictive check, and more. Models are executed using the 'Certara.RsNLME' package.
Author: James Craig [aut, cre], Mike Talley [aut], Vitalii Nazarov [aut], Certara USA, Inc [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>

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Package BayesSUR updated to version 2.3-3 with previous version 2.3-2 dated 2026-05-15

Title: Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings
Description: Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Bottolo et al. (2021) <doi:10.1111/rssc.12490>, the software paper is in Zhao et al. (2021) <doi:10.18637/jss.v100.i11>, and the model with random effects is described in Zhao et al. (2024) <doi:10.1093/jrsssc/qlad102>.
Author: Marco Banterle [aut], Zhi Zhao [aut, cre], Leonardo Bottolo [ctb], Sylvia Richardson [ctb], Waldir Leoncio [ctb], Alex Lewin [aut], Manuela Zucknick [aut]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>

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Package aebdata readmission to version 0.1.6 with previous version 0.1.5 dated 2026-05-16

Title: Access Data from the Atlas do Estado Brasileiro
Description: Facilitates access to the data from the Atlas do Estado Brasileiro (<https://www.ipea.gov.br/atlasestado/>), maintained by the Instituto de Pesquisa Econômica Aplicada (Ipea). It allows users to search for specific series, list series or themes, and download data when available.
Author: Hugo Macedo [aut, cre, cph]
Maintainer: Hugo Macedo <aebdata@hhmace.do>

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Package MGBT updated to version 1.1.6 with previous version 1.0.7 dated 2021-07-21

Title: Multiple Grubbs-Beck Low-Outlier Test
Description: Compute the multiple Grubbs-Beck low-outlier test on positively distributed data and utilities for noninterpretive U.S. Geological Survey annual peak-streamflow data processing discussed in Cohn et al. (2013) and England et al. (2017) <doi:10.3133/tm4B5>. Other utilities for working with peak streamflow are provided.
Author: William H. Asquith [aut, cre] , John F. England [aut, ctb] , George R. Herrmann [ctb]
Maintainer: William H. Asquith <wasquith@usgs.gov>

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Package diffcp updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-19

Title: Differentiating Through Cone Programs
Description: A port of the 'python' 'diffcp' package. Computes the derivative of the optimal solution map of a convex cone program, treating the program as an implicit function of its data (constraint matrix, offset, objective coefficients, and optionally a quadratic), mirroring Agrawal et al. (2019) <doi:10.48550/arXiv.1904.09043>.
Author: Balasubramanian Narasimhan [aut, cre], Akshay Agrawal [aut], Shane Barratt [aut], Stephen Boyd [aut], Enzo Busseti [aut], Walaa Moursi [aut]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

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Package arg updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-09

Title: Clean and Simple Argument Checking
Description: Checks function arguments, ideally for use in R packages. Uses a simple interface and produces clean, informative error messages using 'cli'.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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Tue, 26 May 2026

Package healthdb updated to version 0.5.1 with previous version 0.5.0 dated 2026-01-07

Title: Working with Healthcare Databases
Description: A system for identifying diseases or events from healthcare databases and preparing data for epidemiological studies. It includes capabilities not supported by 'SQL', such as matching strings by 'stringr' style regular expressions, and can compute comorbidity scores (Quan et al. (2005) <doi:10.1097/01.mlr.0000182534.19832.83>) directly on a database server. The implementation is based on 'dbplyr' with full 'tidyverse' compatibility.
Author: Kevin Hu [aut, cre, cph]
Maintainer: Kevin Hu <kevin.hu@bccdc.ca>

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Package trtswitch updated to version 0.2.6 with previous version 0.2.5 dated 2026-03-13

Title: Treatment Switching
Description: Implements rank preserving structural failure time model (RPSFTM), iterative parameter estimation (IPE), inverse probability of censoring weights (IPCW), marginal structural model (MSM), simple two-stage estimation (TSEsimp), and improved two-stage estimation with g-estimation (TSEgest) methods for treatment switching in randomized clinical trials.
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

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Package survivoR updated to version 2.3.12 with previous version 2.3.10 dated 2026-02-05

Title: Data from all Seasons of Survivor (US) TV Series in Tidy Format
Description: Datasets detailing the results, castaways, and events of each season of Survivor for the US, Australia, South Africa, New Zealand, and the UK. This includes details on the cast, voting history, immunity and reward challenges, jury votes, boot order, advantage details, and episode ratings. Use this for analysis of trends and statistics of the game.
Author: Daniel Oehm [aut, cre], Carly Levitz [ctb]
Maintainer: Daniel Oehm <danieloehm@gmail.com>

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Package datarobot updated to version 2.18.8 with previous version 2.18.7 dated 2025-10-02

Title: 'DataRobot' Predictive Modeling API
Description: For working with the 'DataRobot' predictive modeling platform's API <https://www.datarobot.com/>.
Author: Ron Pearson [aut], Zachary Deane-Mayer [aut], David Chudzicki [aut], Dallin Akagi [aut], Sergey Yurgenson [aut], Thakur Raj Anand [aut], Peter Hurford [aut], Chester Ismay [aut], AJ Alon [aut, cre], Andrew Watson [aut], Gregory Williams [aut], Anasta [...truncated...]
Maintainer: AJ Alon <api-maintainer@datarobot.com>

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Package rdhte updated to version 0.2.0 with previous version 0.1.0 dated 2025-07-18

Title: Heterogeneous Treatment Effects in Regression Discontinuity Designs
Description: Understanding heterogeneous causal effects based on pretreatment covariates is a crucial step in modern empirical work in data science. Building on the recent developments in Calonico et al (2025) <doi:10.48550/arXiv.2503.13696>, this package provides tools for estimation and inference of heterogeneous treatment effects in Regression Discontinuity (RD) Designs. The package includes two main commands: 'rdhte' to conduct estimation and robust bias-corrected inference for conditional RD treatment effects (given choice of bandwidth parameter); 'rdbwhte', which implements automatic bandwidth selection methods; and 'rdhte_lincom' to test linear combinations of parameters.
Author: Sebastian Calonico [aut, cre], Matias D. Cattaneo [aut], Max H. Farrell [aut], Filippo Palomba [aut], Rocio Titiunik [aut]
Maintainer: Sebastian Calonico <scalonico@ucdavis.edu>

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Package phymapnet updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-25

Title: Phylogeny-Guided Bayesian Microbial Network Inference
Description: Implements a phylogeny-aware Bayesian graphical modeling framework for microbial network inference using a shrinkage precision estimator guided by a phylogenetic kernel, with optional hyperparameter-ensemble edge reliability analysis.
Author: Rosa Aghdam [aut, cre]
Maintainer: Rosa Aghdam <rosaaghdam@gmail.com>

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Package elcf4R updated to version 0.4.2 with previous version 0.4.0 dated 2026-04-21

Title: Electricity Load Curves Forecasting at Individual Level
Description: Implements forecasting methods for individual electricity load curves, including Kernel Wavelet Functional (KWF), clustered KWF, Generalized Additive Models (GAM), Multivariate Adaptive Regression Splines (MARS), and Long Short-Term Memory (LSTM) models. Provides normalized dataset adapters for iFlex, StoreNet, Smart-Grid Smart-City, Low Carbon London, and REFIT; download and read support for IDEAL and GX; explicit Python backend selection for TensorFlow-based LSTM fits; helpers for daily segmentation and rolling-origin benchmarking; and compact shipped example panels and benchmark-result datasets.
Author: Frederic Bertrand [cre, aut] , Fatima Fahs [aut], Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package REDCapTidieR updated to version 1.2.5 with previous version 1.2.4 dated 2025-07-28

Title: Extract 'REDCap' Databases into Tidy 'Tibble's
Description: Convert 'REDCap' exports into tidy tables for easy handling of 'REDCap' repeat instruments and event arms.
Author: Richard Hanna [aut, cre] , Stephan Kadauke [aut] , Ezra Porter [aut]
Maintainer: Richard Hanna <hannar1@chop.edu>

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Package SChangeBlock updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-09

Title: Spatial Structural Change Detection by an Analysis of Variability Between Blocks of Observations
Description: Provides methods to detect structural changes in time series or random fields (spatial data). Focus is on the detection of abrupt changes or trends in independent data, but the package also provides a function to de-correlate data with dependence. The functions are based on the test suggested in Schmidt (2024) <DOI:10.3150/23-BEJ1686> and the work in Görz and Fried (2025) <DOI:10.48550/arXiv.2512.11599>.
Author: Sheila Goerz [aut, cre], Roland Fried [ctb, ths]
Maintainer: Sheila Goerz <sheila.goerz@tu-dortmund.de>

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Package TestGenerator updated to version 0.8.0 with previous version 0.7.0 dated 2026-04-30

Title: Integration Unit Tests for Pharmacoepidemiological Studies
Description: An R interface to load testing data in the 'OMOP' Common Data Model ('CDM'). An input file, csv or xlsx, can be converted to a 'CDMConnector' object. This object can be used to execute and test studies that use the 'CDM' <https://www.ohdsi.org/data-standardization/>.
Author: Cesar Barboza [aut, cre] , Ioanna Nika [aut], Ger Inberg [aut] , Adam Black [aut]
Maintainer: Cesar Barboza <c.barboza@darwin-eu.org>

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Package spanishoddata updated to version 0.2.5 with previous version 0.2.4 dated 2026-04-09

Title: Get Spanish Origin-Destination Data
Description: Gain seamless access to origin-destination (OD) data from the Spanish Ministry of Transport, hosted at <https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad>. This package simplifies the management of these large datasets by providing tools to download zone boundaries, handle associated origin-destination data, and process it efficiently with the 'duckdb' database interface. Local caching minimizes repeated downloads, streamlining workflows for researchers and analysts. Methods described in Kotov et al. (2026) <doi:10.1177/23998083251415040>. Extensive documentation is available at <https://ropenspain.github.io/spanishoddata/index.html>, offering guides on creating static and dynamic mobility flow visualizations and transforming large datasets into analysis-ready formats.
Author: Egor Kotov [aut, cre] , Robin Lovelace [aut] , Eugeni Vidal-Tortosa [ctb]
Maintainer: Egor Kotov <kotov.egor@gmail.com>

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Package RcppHNSW updated to version 0.7.0 with previous version 0.6.0 dated 2024-02-04

Title: 'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors
Description: 'Hnswlib' is a C++ library for Approximate Nearest Neighbors. This package provides a minimal R interface by relying on the 'Rcpp' package. See <https://github.com/nmslib/hnswlib> for more on 'hnswlib'. 'hnswlib' is released under Version 2.0 of the Apache License.
Author: James Melville [aut, cre, cph], Aaron Lun [ctb], Samuel Granjeaud [ctb], Dmitriy Selivanov [ctb], Yuxing Liao [ctb]
Maintainer: James Melville <jlmelville@gmail.com>

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Package nhdplusTools updated to version 1.5.0 with previous version 1.4.2 dated 2026-01-21

Title: NHDPlus Tools
Description: Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.
Author: David Blodgett [aut, cre] , Mike Johnson [aut] , Marc Weber [ctb] , Josh Erickson [ctb], Lauren Koenig [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package mantar updated to version 0.3.0 with previous version 0.2.0 dated 2026-01-17

Title: Missingness Alleviation for Network Analysis
Description: Provides functionality for estimating cross-sectional network structures representing partial correlations while accounting for missing data. Networks are estimated via neighborhood selection or regularization, with model selection guided by information criteria. Missing data can be handled primarily via multiple imputation or a maximum likelihood-based approach, as demonstrated by Nehler and Schultze (2025) <doi:10.1080/00273171.2025.2503833> and Nehler and Schultze (2026) <doi:10.1037/met0000828>. Deletion-based approaches are also available but play a secondary role.
Author: Kai Jannik Nehler [aut, cre]
Maintainer: Kai Jannik Nehler <nehler@psych.uni-frankfurt.de>

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Package apa7 updated to version 0.1.3 with previous version 0.1.0 dated 2025-09-10

Title: Facilitate Writing Documents in American Psychological Association Style, Seventh Edition
Description: Create American Psychological Association Style, Seventh Edition documents. Format numbers and text consistent with APA style. Create tables that comply with APA style by extending flextable functions.
Author: W. Joel Schneider [aut, cre]
Maintainer: W. Joel Schneider <w.joel.schneider@gmail.com>

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Package conMItion updated to version 0.3.1 with previous version 0.3.0 dated 2026-04-14

Title: Conditional Mutual Information Estimation for Multi-Omics Data
Description: The biases introduced in association measures, particularly mutual information, are influenced by factors such as tumor purity, mutation burden, and hypermethylation. This package provides the estimation of conditional mutual information (CMI) and its statistical significance with a focus on its application to multi-omics data. Utilizing B-spline functions (inspired by Daub et al. (2004) <doi:10.1186/1471-2105-5-118>), the package offers tools to estimate the association between heterogeneous multi- omics data, while removing the effects of confounding factors. This helps to unravel complex biological interactions. In addition, it includes methods to evaluate the statistical significance of these associations, providing a robust framework for multi-omics data integration and analysis. This package is ideal for researchers in computational biology, bioinformatics, and systems biology seeking a comprehensive tool for understanding interdependencies in omics data.
Author: Gaojianyong Wang [aut, cre]
Maintainer: Gaojianyong Wang <gjywang@gmail.com>

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Package DIDmultiplegtDYN updated to version 2.3.4 with previous version 2.3.3 dated 2026-03-17

Title: Estimation in Staggered First Switch Designs, where Groups Experience their First Treatment Change at Different Points in Time
Description: Estimation of heterogeneity-robust difference-in-differences estimators, with a binary, discrete, or continuous treatment, in designs where past treatments may affect the current outcome.
Author: Anzony Quispe [aut, cre], Diego Ciccia [aut], Felix Knau [aut], Melitine Malezieux [aut], Doulo Sow [aut], Clement de Chaisemartin [aut]
Maintainer: Anzony Quispe <anzony.quispe@gmail.com>

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Package reslr readmission to version 0.2.0 with previous version 0.1.1 dated 2023-06-15

Title: Modelling Relative Sea Level Data
Description: The Bayesian modelling of relative sea-level data using a comprehensive approach that incorporates various statistical models within a unifying framework. Details regarding each statistical models; linear regression (Ashe et al 2019) <doi:10.1016/j.quascirev.2018.10.032>, change point models (Cahill et al 2015) <doi:10.1088/1748-9326/10/8/084002>, integrated Gaussian process models (Cahill et al 2015) <doi:10.1214/15-AOAS824>, temporal splines (Upton et al 2025) <doi:10.32614/RJ-2024-018>, spatio-temporal splines (Upton et al 2025) <doi:10.32614/RJ-2024-018> and generalised additive models (Upton et al 2025) <doi:10.1093/jrsssc/qlae044>. This package facilitates data loading, model fitting and result summarisation. Notably, it accommodates the inherent measurement errors found in relative sea-level data across multiple dimensions, allowing for their inclusion in the statistical models.
Author: Maeve Upton [cph, aut, cre] , Andrew Parnell [aut], Niamh Cahill [aut]
Maintainer: Maeve Upton <uptonmaeve010@gmail.com>

This is a re-admission after prior archival of version 0.1.1 dated 2023-06-15

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Package MSCMT updated to version 1.4.3 with previous version 1.4.2 dated 2026-05-19

Title: Multivariate Synthetic Control Method Using Time Series
Description: Three generalizations of the synthetic control method (which has already an implementation in package 'Synth') are implemented: first, 'MSCMT' allows for using multiple outcome variables, second, time series can be supplied as economic predictors, and third, a well-defined cross-validation approach can be used. Much effort has been taken to make the implementation as stable as possible (including edge cases) without losing computational efficiency. A detailed description of the main algorithms is given in Becker and Klößner (2018) <doi:10.1016/j.ecosta.2017.08.002>.
Author: Martin Becker [aut, cre] , Stefan Kloessner [aut], Karline Soetaert [com], Jack Dongarra [cph], R.J. Hanson [cph], K.H. Haskell [cph], Cleve Moler [cph], LAPACK authors [cph]
Maintainer: Martin Becker <martin.becker@mx.uni-saarland.de>

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Package integrity updated to version 1.0.1 with previous version 1.0 dated 2026-04-08

Title: Assessing the Integrity and Trustworthiness of Clinical Trials Data
Description: The integrity package implements the IPD Integrity Tool, a structured and transparent framework for evaluating the integrity of individual participant data (IPD) from randomised trials (see Hunter et al. (2024) <doi:10.1002/jrsm.1738> and <doi:10.32614/RJ-2017-008>). It supports users to identify potential issues, such as unusual data patterns, implausible values, lack of expected correlations, date violations, and inconsistencies. The package provides reproducible workflows for screening, documenting and summarising integrity concerns, and may be applied by evidence synthesists, editors, and others to determine whether a randomised trial may be considered sufficiently trustworthy to contribute to the evidence base that informs policy and practice.
Author: Sol Libesman [aut, cre], Kylie Hunter [aut], David Nguyen [aut], Dario Strbenac [aut], Anne Lene Seidler [aut], Jie Kang [aut]
Maintainer: Sol Libesman <sol.libesman@sydney.edu.au>

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Package ichimoku readmission to version 1.5.7 with previous version 1.5.6 dated 2025-03-14

Title: Visualization and Tools for Ichimoku Kinko Hyo Strategies
Description: An implementation of 'Ichimoku Kinko Hyo', also commonly known as cloud charts. Static and interactive visualizations with tools for creating, backtesting and development of quantitative ichimoku strategies. As described in Sasaki (1996, ISBN:4925152009), the technique is a refinement on candlestick charting, originating from Japan and now in widespread use in technical analysis worldwide. Translating as one-glance equilibrium chart, it allows the price action and market structure of financial securities to be determined at-a-glance. Incorporates an interface with the 'OANDA fxTrade' API <https://developer.oanda.com/> for retrieving historical and live streaming price data for major currencies, metals, commodities, government bonds and stock indices.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

This is a re-admission after prior archival of version 1.5.6 dated 2025-03-14

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Package edgemodelr updated to version 0.4.1 with previous version 0.2.0 dated 2026-02-25

Title: Local Large Language Model Inference Engine
Description: Enables R users to run large language models locally using 'GGUF' model files and the 'llama.cpp' inference engine. Provides a complete R interface for loading models, generating text completions, extracting vector representations, and streaming responses in real-time. Includes grammar-constrained generation for structured output, text classification, and retrieval-augmented generation (RAG) pipelines. Supports local inference without requiring cloud APIs or internet connectivity, ensuring complete data privacy and control. Based on the 'llama.cpp' project by Georgi Gerganov (2023) <https://github.com/ggml-org/llama.cpp>.
Author: Pawan Rama Mali [aut, cre, cph], Georgi Gerganov [aut, cph] , The ggml authors [cph] , Jeffrey Quesnelle [ctb, cph] , Bowen Peng [ctb, cph] , pi6am [ctb] , Ivan Yurchenko [ctb] , Dirk Eddelbuettel [ctb, rev]
Maintainer: Pawan Rama Mali <prm@outlook.in>

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Package rmumps updated to version 5.2.1-42 with previous version 5.2.1-41 dated 2026-03-13

Title: Wrapper for MUMPS Library
Description: Some basic features of 'MUMPS' (Multifrontal Massively Parallel sparse direct Solver) are wrapped in a class whose methods can be used for sequentially solving a sparse linear system (symmetric or not) with one or many right hand sides (dense or sparse). There is a possibility to do separately symbolic analysis, LU (or LDL^t) factorization and system solving. Third part ordering libraries are included and can be used: 'PORD', 'METIS', 'SCOTCH'. 'MUMPS' method was first described in Amestoy et al. (2001) <doi:10.1137/S0895479899358194> and Amestoy et al. (2006) <doi:10.1016/j.parco.2005.07.004>.
Author: Serguei Sokol [aut, cre], Emmanuel Agullo [ctb], Patrick Amestoy [ctb, cph], Maurice Bremond [ctb], Alfredo Buttari [ctb], Philippe Combes [ctb], Marie Durand [ctb], Aurelia Fevre [ctb], Abdou Guermouche [ctb], Guillaume Joslin [ctb], Jacko Koster [c [...truncated...]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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Package rnndescent updated to version 0.2.0 with previous version 0.1.8 dated 2025-09-05

Title: Nearest Neighbor Descent Method for Approximate Nearest Neighbors
Description: The Nearest Neighbor Descent method for finding approximate nearest neighbors by Dong and co-workers (2010) <doi:10.1145/1963405.1963487>. Based on the 'Python' package 'PyNNDescent' <https://github.com/lmcinnes/pynndescent>.
Author: James Melville [aut, cre, cph], Vitalie Spinu [ctb], Ralf Stubner [ctb]
Maintainer: James Melville <jlmelville@gmail.com>

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Package pnd updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-12

Title: Parallel Numerical Derivatives, Gradients, Jacobians, and Hessians of Arbitrary Accuracy Order
Description: Numerical derivatives through finite-difference approximations can be calculated using the 'pnd' package with parallel capabilities and optimal step-size selection to improve accuracy. These functions facilitate efficient computation of derivatives, gradients, Jacobians, and Hessians, allowing for more evaluations to reduce the mathematical and machine errors. Designed for compatibility with the 'numDeriv' package, which has not received updates in several years, it introduces advanced features such as computing derivatives of arbitrary order, improving the accuracy of Hessian approximations by avoiding repeated differencing, and parallelising slow functions on Windows, Mac, and Linux.
Author: Andrei Victorovitch Kostyrka [aut, cre]
Maintainer: Andrei Victorovitch Kostyrka <andrei.kostyrka@gmail.com>

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Package immunogenetr updated to version 1.3.0 with previous version 1.2.0 dated 2026-04-14

Title: A Comprehensive Toolkit for Clinical HLA Informatics
Description: A comprehensive toolkit for clinical Human Leukocyte Antigen (HLA) informatics, built on 'tidyverse' <https://tidyverse.tidyverse.org/> principles and making use of genotype list string (GL string, Mack et al. (2023) <doi:10.1111/tan.15126>) for storing and computing HLA genotype data. Specific functionalities include: coercion of HLA data in tabular format to and from GL string; calculation of matching and mismatching in all directions, with multiple output formats; automatic formatting of HLA data for searching within a GL string; truncation of molecular HLA data to a specific number of fields; and reading HLA genotypes in HML files and extracting the GL string. This library is intended for research use. Any application making use of this package in a clinical setting will need to be independently validated according to local regulations.
Author: Nicholas Brown [cre, aut] , Busra Coskun [aut]
Maintainer: Nicholas Brown <nicholas.brown@pennmedicine.upenn.edu>

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Package ggsem updated to version 1.0.0 with previous version 0.9.9 dated 2026-01-28

Title: Interactive Structural Equation Modeling (SEM) and Multi-Group Path Diagrams
Description: Provides an interactive workflow for visualizing structural equation modeling (SEM), multi-group path diagrams, and network diagrams in R. Users can directly manipulate nodes and edges to create publication-quality figures while maintaining statistical model integrity. Supports integration with 'lavaan', 'OpenMx', 'tidySEM', and 'blavaan' etc. Features include parameter-based aesthetic mapping, generative AI assistance, and complete reproducibility by exporting metadata for script-based workflows.
Author: Seung Hyun Min [aut, cre]
Maintainer: Seung Hyun Min <seung.min@mail.mcgill.ca>

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Package crqa updated to version 2.1.0 with previous version 2.0.7 dated 2025-06-25

Title: Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis
Description: Auto, Cross and Multi-dimensional recurrence quantification analysis. Different methods for computing recurrence, cross vs. multidimensional or profile iti.e., only looking at the diagonal recurrent points, as well as functions for optimization and plotting are proposed. in-depth measures of the whole cross-recurrence plot, Please refer to Coco and others (2021) <doi:10.32614/RJ-2021-062>, Coco and Dale (2014) <doi:10.3389/fpsyg.2014.00510> and Wallot (2018) <doi: 10.1080/00273171.2018.1512846> for further details about the method.
Author: Moreno I. Coco [cre, aut], Dan Moenster [aut], Giuseppe Leonardi [aut], Rick Dale [aut], Sebastian Wallot [aut], James D. Dixon [ctb], John C. Nash [ctb], Alexandra Paxton [ctb], Polyphony Bruna [ctb]
Maintainer: Moreno I. Coco <moreno.cocoi@gmail.com>

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Package fpCompare updated to version 0.2.6 with previous version 0.2.4 dated 2022-08-15

Title: Reliable Comparison of Floating Point Numbers
Description: Comparisons of floating point numbers are problematic due to errors associated with the binary representation of decimal numbers. Despite being aware of these problems, people still use numerical methods that fail to account for these and other rounding errors (this pitfall is the first to be highlighted in Circle 1 of Burns (2012) 'The R Inferno' <https://www.burns-stat.com/pages/Tutor/R_inferno.pdf>). This package provides new relational operators useful for performing floating point number comparisons with a set tolerance.
Author: Alex M Chubaty [aut, cre] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <achubaty@for-cast.ca>

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Mon, 25 May 2026

Package pannotator updated to version 1.1.0 with previous version 1.0.1 dated 2026-03-16

Title: Visualisation and Annotation of 360 Degree Imagery
Description: Provides a customisable R 'shiny' app for immersively visualising, mapping and annotating panospheric (360 degree) imagery. The flexible interface allows annotation of any geocoded images using up to 4 user specified drop-down menus. The app uses 'leaflet' to render maps that display the geo-locations of images and Panellum <https://pannellum.org/>, a lightweight panorama viewer for the web, to render images in virtual 360 degree viewing mode. Key functions include the ability to draw on & export parts of 360 images for downstream applications. Users can also draw polygons and points on map imagery related to the panoramic images and export them for further analysis. Downstream applications include using annotations to train Artificial Intelligence/Machine Learning (AI/ML) models and geospatial modelling and analysis of camera based survey data.
Author: Nunzio Knerr [aut, cre] , Robert Godfree [aut] , Matthew Petroff [ctb], CSIRO [cph]
Maintainer: Nunzio Knerr <Nunzio.Knerr@csiro.au>

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Package MetaNet updated to version 0.3.2 with previous version 0.3.1 dated 2026-04-27

Title: Network Analysis for Omics Data
Description: Comprehensive network analysis package. Calculate correlation network fastly, accelerate lots of analysis by parallel computing. Support for multi-omics data, search sub-nets fluently. Handle bigger data, more than 10,000 nodes in each omics. Offer various layout method for multi-omics network and some interfaces to other software ('Gephi', 'Cytoscape', 'ggplot2'), easy to visualize. Provide comprehensive topology indexes calculation, including ecological network stability.
Author: Chen Peng [aut, cre]
Maintainer: Chen Peng <bfzede@gmail.com>

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Package balnet updated to version 0.0.3 with previous version 0.0.2 dated 2026-05-04

Title: Pathwise Estimation of Covariate Balancing Propensity Scores
Description: Provides pathwise estimation of regularized logistic propensity score models using covariate balancing loss functions rather than maximum likelihood. Regularization paths are fit via the 'adelie' elastic-net solver with a 'glmnet'-like interface, yielding balancing weights that target covariate balance for the ATE and ATT. Under lasso penalization, lambda bounds the maximum covariate imbalance, so the regularization path traces a sequence of decreasing imbalance tolerances. For details, see Sverdrup & Hastie (2026) <doi:10.48550/arXiv.2602.18577>.
Author: Erik Sverdrup [aut, cre], Trevor Hastie [aut], James Yang [ctb]
Maintainer: Erik Sverdrup <erik.sverdrup@monash.edu>

Diff between balnet versions 0.0.2 dated 2026-05-04 and 0.0.3 dated 2026-05-25

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Package geohabnet updated to version 2.3 with previous version 2.2 dated 2025-05-21

Title: Geographical Risk Analysis Based on Habitat Connectivity
Description: The 'geohabnet' package is designed to perform a geographically or spatially explicit risk analysis of habitat connectivity. Xing et al (2021) <doi:10.1093/biosci/biaa067> proposed the concept of cropland connectivity as a risk factor for plant pathogen or pest invasions. As the functions in 'geohabnet' were initially developed thinking on cropland connectivity, users are recommended to first be familiar with the concept by looking at the Xing et al paper. In a nutshell, a habitat connectivity analysis combines information from maps of host density, estimates the relative likelihood of pathogen movement between habitat locations in the area of interest, and applies network analysis to calculate the connectivity of habitat locations. The functions of 'geohabnet' are built to conduct a habitat connectivity analysis relying on geographic parameters (spatial resolution and spatial extent), dispersal parameters (in two commonly used dispersal kernels: inverse power law and negative ex [...truncated...]
Author: Krishna Keshav [aut, cre], Aaron Plex [aut] , Garrett Lab [ctb] , Karen Garrett [aut] , University of Florida [cph, fnd]
Maintainer: Krishna Keshav <krishnakeshav.pes@gmail.com>

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Package bayesianETAS updated to version 2.0.1 with previous version 2.0.0 dated 2026-05-21

Title: Bayesian Estimation of the Temporal and Spatio-Temporal ETAS Models for Earthquake Occurrences
Description: The Epidemic Type Aftershock Sequence (ETAS) model is widely used for modelling and forecasting earthquake occurrences. This package implements Bayesian estimation routines for both the temporal and spatial ETAS model, allowing samples to be drawn from the full posterior distribution of the model parameters given an earthquake catalogue. The methods are described in Ross (2021) "Bayesian Estimation of the ETAS Model for Earthquake Occurrences" <doi:10.1785/0120200198>.
Author: Gordon J. Ross [aut, cre]
Maintainer: Gordon J. Ross <gordon@gordonjross.co.uk>

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Package fdth updated to version 1.5-0 with previous version 1.3-4 dated 2026-05-11

Title: Frequency Distribution Tables, Histograms and Polygons
Description: Perform frequency distribution tables, associated histograms and polygons from vector, data.frame and matrix objects for numerical and categorical variables.
Author: J. C. Faria [aut, cre], I. B. Allaman [aut], E. G. Jelihovschi [aut]
Maintainer: J. C. Faria <joseclaudio.faria@gmail.com>

Diff between fdth versions 1.3-4 dated 2026-05-11 and 1.5-0 dated 2026-05-25

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Package matahari updated to version 0.1.4 with previous version 0.1.3 dated 2020-02-06

Title: Spy on Your R Session
Description: Conveniently log everything you type into the R console. Logs are are stored as tidy data frames which can then be analyzed using 'tidyverse' style tools.
Author: Sean Kross [aut, cre] , Lucy D'Agostino McGowan [aut] , Jeff Leek [ldr]
Maintainer: Sean Kross <sean@seankross.com>

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Package AIUQ updated to version 0.5.4 with previous version 0.5.3 dated 2024-07-02

Title: Ab Initio Uncertainty Quantification
Description: Uncertainty quantification and inverse estimation by probabilistic generative models from the beginning of the data analysis. An example is a Fourier basis method for inverse estimation in scattering analysis of microscopy videos. It does not require specifying a certain range of Fourier bases and it substantially reduces computational cost via the generalized Schur algorithm. See the reference: Mengyang Gu, Yue He, Xubo Liu and Yimin Luo (2023), <doi:10.48550/arXiv.2309.02468>.
Author: Yue He [aut], Xubo Liu [aut], Tong Lin [aut], Mengyang Gu [aut, cre]
Maintainer: Mengyang Gu <mengyang@pstat.ucsb.edu>

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Package gdtools updated to version 0.5.1 with previous version 0.5.0 dated 2026-02-09

Title: Font Metrics and Font Management Utilities for R Graphics
Description: Compute text metrics (width, ascent, descent) using 'Cairo' and 'FreeType', independently of the active graphic device. Font lookup is delegated to 'systemfonts'. Additional utilities let users register 'Google Fonts' or bundled 'Liberation' fonts, check font availability, and assemble 'htmlDependency' objects so that fonts are correctly embedded in 'Shiny' applications, 'R Markdown' documents, and 'htmlwidgets' outputs such as 'ggiraph'.
Author: David Gohel [aut, cre], Hadley Wickham [aut], Lionel Henry [aut], Jeroen Ooms [aut] , Yixuan Qiu [ctb], R Core Team [cph] , ArData [cph], RStudio [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package bpca updated to version 1.5-0 with previous version 1.4-3 dated 2026-05-11

Title: Biplot Analysis for Multivariate Data Using Principal Components
Description: Provides tools for creating 2D and 3D biplots of multivariate data based on principal components analysis, together with diagnostics for reduction quality and enhanced visualization of variables and objects.
Author: Jose C. Faria [aut, cre], Ivan B. Allaman [aut], Clarice G. B. Demetrio [aut]
Maintainer: Jose C. Faria <joseclaudio.faria@gmail.com>

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Package vegan updated to version 2.7-5 with previous version 2.7-3 dated 2026-03-04

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

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Package UpSetR updated to version 1.4.1 with previous version 1.4.0 dated 2019-05-22

Title: A More Scalable Alternative to Venn and Euler Diagrams for Visualizing Intersecting Sets
Description: Creates visualizations of intersecting sets using a novel matrix design, along with visualizations of several common set, element and attribute related tasks (Conway 2017) <doi:10.1093/bioinformatics/btx364>.
Author: Jake Conway [aut], Nils Gehlenborg [aut, cre]
Maintainer: Nils Gehlenborg <nils@hms.harvard.edu>

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Package locatexec updated to version 0.2.0 with previous version 0.1.1 dated 2021-05-19

Title: Detection and Localization of Executable Files
Description: A set of functions to locate some programs available on the user machine. It can locate 'Node.js', 'npm', 'LibreOffice', 'Microsoft Word', 'Microsoft PowerPoint', 'Microsoft Excel', 'Python', 'pip', 'Mozilla Firefox', 'Google Chrome', 'Air' and 'Pandoc'. The user can test the availability of a program, optionally with a required version, and call it with the functions system2() or system(). This allows the use of a single function to retrieve the path to a program regardless of the operating system and its configuration.
Author: David Gohel [aut, cre], ArData [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package IOBR updated to version 2.2.2 with previous version 2.2.1 dated 2026-05-15

Title: Immune Oncology Biological Research
Description: Provides six modules for tumor microenvironment (TME) analysis based on multi-omics data. These modules cover data preprocessing, TME estimation, TME infiltrating patterns, cellular interactions, genome and TME interaction, and visualization for TME relevant features, as well as modelling based on key features. It integrates multiple microenvironmental analysis algorithms and signature estimation methods, simplifying the analysis and downstream visualization of the TME. In addition to providing a quick and easy way to construct gene signatures from single-cell RNA-seq data, it also provides a way to construct a reference matrix for TME deconvolution from single-cell RNA-seq data. The analysis pipeline and feature visualization are user-friendly and provide a comprehensive description of the complex TME, offering insights into tumour-immune interactions (Zeng D, et al. (2024) <doi:10.1016/j.crmeth.2024.100910>. Fang Y, et al. (2025) <doi:10.1002/mdr2.70001>).
Author: Dongqiang Zeng [aut], Yiran Fang [aut], Shixiang Wang [aut, cre] , Qingcong Luo [aut], Hongqian Qian [aut]
Maintainer: Shixiang Wang <w_shixiang@163.com>

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Package hmmr updated to version 1.0-1 with previous version 1.0-0.1 dated 2025-03-08

Title: Mixture and Hidden Markov Models with R: Datasets and Example Code
Description: Datasets and code examples that accompany our book Visser & Speekenbrink (2021), "Mixture and Hidden Markov Models with R", <https://depmix.github.io/hmmr/>.
Author: Ingmar Visser [aut, cre], Maarten Speekenbrink [aut]
Maintainer: Ingmar Visser <i.visser@uva.nl>

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Package tidycensus updated to version 1.8.1 with previous version 1.8.0 dated 2026-05-19

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

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Package symphony updated to version 0.1.3 with previous version 0.1.2 dated 2025-10-30

Title: Efficient and Precise Single-Cell Reference Atlas Mapping
Description: Implements the Symphony single-cell reference building and query mapping algorithms and additional functions described in Kang et al <https://www.nature.com/articles/s41467-021-25957-x>.
Author: Joyce Kang [aut, cre] , Ilya Korsunsky [aut] , Soumya Raychaudhuri [aut]
Maintainer: Joyce Kang <joyce.b.kang@gmail.com>

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Package openxlsx2 updated to version 1.27 with previous version 1.26 dated 2026-04-17

Title: Read, Write and Edit 'xlsx' Files
Description: Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.
Author: Jordan Mark Barbone [aut] , Jan Marvin Garbuszus [aut, cre], Olivier Roy [ctb], openxlsx authors [cph] , Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

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Package mvbutils updated to version 2.12.120 with previous version 2.8.232 dated 2018-12-12

Title: General utilities, workspace organization, code and doc editing, live package maintenance, etc
Description: Hierarchical workspace tree, code editing and backup, easy package prep, editing of packages while loaded, per-object lazy-loading, easy documentation, macro functions, and miscellaneous utilities. Needed by various packages including debug, offarray, and kinference.
Author: Mark V. Bravington [aut, cre]
Maintainer: Mark V. Bravington <markb2@summerinsouth.net>

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Package llm.api updated to version 0.1.4 with previous version 0.1.3 dated 2026-05-15

Title: Minimal LLM Chat Interface
Description: A minimal-dependency client for Large Language Model chat APIs. Supports 'OpenAI' <https://openai.com/>, 'Anthropic' 'Claude' <https://claude.com/>, 'Moonshot' 'Kimi' <https://www.moonshot.ai/>, 'Ollama' <https://ollama.com/>, and other 'OpenAI'-compatible endpoints. Includes an agent loop with tool use and a 'Model Context Protocol' client <https://modelcontextprotocol.io/>. API design is derived from the 'ellmer' package, reimplemented with only base R, 'curl', and 'jsonlite'.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph], ellmer team [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package ggmlR updated to version 0.7.7 with previous version 0.7.6 dated 2026-04-22

Title: 'GGML' Tensor Operations for Machine Learning
Description: Provides 'R' bindings to the 'GGML' tensor library for machine learning, optimized for 'Vulkan' GPU acceleration with a transparent CPU fallback. The package features a 'Keras'-like sequential API and a 'PyTorch'-style 'autograd' engine for building, training, and deploying neural networks. Key capabilities include high-performance 5D tensor operations, 'f16' precision, and efficient quantization. It supports native 'ONNX' model import (50+ operators) and 'GGUF' weight loading from the 'llama.cpp' and 'Hugging Face' ecosystems. Designed for zero-overhead inference via dedicated weight buffering, it integrates seamlessly as a 'parsnip' engine for 'tidymodels' and provides first-class learners for the 'mlr3' framework. See <https://github.com/ggml-org/ggml> for more information about the underlying library.
Author: Yuri Baramykov [aut, cre] , Georgi Gerganov [ctb, cph] , Jeffrey Quesnelle [ctb, cph] , Bowen Peng [ctb, cph] , Mozilla Foundation [ctb, cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

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 ggmlR-0.7.7/ggmlR/man/ggml_backend_buffer_usage_weights.Rd                      |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_dev_by_name.Rd                               |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_dev_by_type.Rd                               |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_dev_count.Rd                                 |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_dev_description.Rd                           |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_dev_get.Rd                                   |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_dev_get_props.Rd                             |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_dev_init.Rd                                  |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_dev_memory.Rd                                |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_dev_name.Rd                                  |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_dev_offload_op.Rd                            |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_dev_supports_buft.Rd                         |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_dev_supports_op.Rd                           |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_dev_type.Rd                                  |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_device_register.Rd                           |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_device_type_accel.Rd                         |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_device_type_cpu.Rd                           |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_device_type_gpu.Rd                           |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_device_type_igpu.Rd                          |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_event_free.Rd                                |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_event_new.Rd                                 |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_event_record.Rd                              |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_event_synchronize.Rd                         |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_event_wait.Rd                                |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_get_device.Rd                                |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_graph_compute_async.Rd                       |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_graph_plan_compute.Rd                        |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_graph_plan_create.Rd                         |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_graph_plan_free.Rd                           |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_init_best.Rd                                 |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_init_by_name.Rd                              |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_init_by_type.Rd                              |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_load.Rd                                      |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_load_all.Rd                                  |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_meta_device.Rd                               |only
 ggmlR-0.7.7/ggmlR/man/ggml_backend_multi_buffer_alloc_buffer.Rd                 |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_multi_buffer_set_usage.Rd                    |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_reg_by_name.Rd                               |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_reg_count.Rd                                 |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_reg_dev_count.Rd                             |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_reg_dev_get.Rd                               |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_reg_get.Rd                                   |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_reg_name.Rd                                  |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_register.Rd                                  |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_synchronize.Rd                               |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_tensor_copy_async.Rd                         |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_tensor_get_async.Rd                          |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_tensor_set_async.Rd                          |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_backend_unload.Rd                                    |    1 
 ggmlR-0.7.7/ggmlR/man/ggml_conv_1d_dw.Rd                                        |only
 ggmlR-0.7.7/ggmlR/man/ggml_conv_2d_dw.Rd                                        |only
 ggmlR-0.7.7/ggmlR/man/ggml_conv_2d_dw_direct.Rd                                 |only
 ggmlR-0.7.7/ggmlR/man/ggml_conv_transpose_2d_p0.Rd                              |only
 ggmlR-0.7.7/ggmlR/man/ggml_get_rel_pos.Rd                                       |only
 ggmlR-0.7.7/ggmlR/man/ggml_pad_reflect_1d.Rd                                    |only
 ggmlR-0.7.7/ggmlR/man/ggml_quant_block_info.Rd                                  |    4 
 ggmlR-0.7.7/ggmlR/man/ggml_roll.Rd                                              |only
 ggmlR-0.7.7/ggmlR/man/ggml_win_part.Rd                                          |only
 ggmlR-0.7.7/ggmlR/man/ggml_win_unpart.Rd                                        |only
 ggmlR-0.7.7/ggmlR/man/gguf_free.Rd                                              |    3 
 ggmlR-0.7.7/ggmlR/man/iq2xs_free_impl.Rd                                        |    4 
 ggmlR-0.7.7/ggmlR/man/iq2xs_init_impl.Rd                                        |    4 
 ggmlR-0.7.7/ggmlR/man/iq3xs_free_impl.Rd                                        |    4 
 ggmlR-0.7.7/ggmlR/man/iq3xs_init_impl.Rd                                        |    4 
 ggmlR-0.7.7/ggmlR/man/is_ag_tensor.Rd                                           |    6 
 ggmlR-0.7.7/ggmlR/man/nn_apply_activation.Rd                                    |    3 
 ggmlR-0.7.7/ggmlR/man/nn_build_batch_norm.Rd                                    |    3 
 ggmlR-0.7.7/ggmlR/man/nn_build_conv_1d.Rd                                       |    3 
 ggmlR-0.7.7/ggmlR/man/nn_build_conv_2d.Rd                                       |    3 
 ggmlR-0.7.7/ggmlR/man/nn_build_dense.Rd                                         |    3 
 ggmlR-0.7.7/ggmlR/man/nn_build_dropout.Rd                                       |    3 
 ggmlR-0.7.7/ggmlR/man/nn_build_embedding.Rd                                     |    3 
 ggmlR-0.7.7/ggmlR/man/nn_build_flatten.Rd                                       |    3 
 ggmlR-0.7.7/ggmlR/man/nn_build_functional_node.Rd                               |    3 
 ggmlR-0.7.7/ggmlR/man/nn_build_global_average_pooling_2d.Rd                     |    3 
 ggmlR-0.7.7/ggmlR/man/nn_build_global_max_pooling_2d.Rd                         |    3 
 ggmlR-0.7.7/ggmlR/man/nn_build_gru.Rd                                           |    3 
 ggmlR-0.7.7/ggmlR/man/nn_build_layer.Rd                                         |    3 
 ggmlR-0.7.7/ggmlR/man/nn_build_lstm.Rd                                          |    3 
 ggmlR-0.7.7/ggmlR/man/nn_build_max_pooling_2d.Rd                                |    3 
 ggmlR-0.7.7/ggmlR/man/nn_functional_output_shape.Rd                             |    3 
 ggmlR-0.7.7/ggmlR/man/nn_init_glorot_uniform.Rd                                 |    3 
 ggmlR-0.7.7/ggmlR/man/nn_init_he_uniform.Rd                                     |    3 
 ggmlR-0.7.7/ggmlR/man/nn_init_recurrent_uniform.Rd                              |    3 
 ggmlR-0.7.7/ggmlR/man/nn_init_zeros.Rd                                          |    3 
 ggmlR-0.7.7/ggmlR/man/print.ag_tensor.Rd                                        |    3 
 ggmlR-0.7.7/ggmlR/man/quantize_iq2_xxs.Rd                                       |    4 
 ggmlR-0.7.7/ggmlR/man/quantize_mxfp4.Rd                                         |    4 
 ggmlR-0.7.7/ggmlR/man/quantize_nvfp4.Rd                                         |only
 ggmlR-0.7.7/ggmlR/man/quantize_q1_0.Rd                                          |only
 ggmlR-0.7.7/ggmlR/man/quantize_q2_K.Rd                                          |    4 
 ggmlR-0.7.7/ggmlR/man/quantize_q4_0.Rd                                          |    4 
 ggmlR-0.7.7/ggmlR/man/quantize_row_iq3_xxs_ref.Rd                               |    4 
 ggmlR-0.7.7/ggmlR/man/quantize_row_mxfp4_ref.Rd                                 |    4 
 ggmlR-0.7.7/ggmlR/man/quantize_row_q2_K_ref.Rd                                  |    4 
 ggmlR-0.7.7/ggmlR/man/quantize_row_q4_0_ref.Rd                                  |    4 
 ggmlR-0.7.7/ggmlR/man/quantize_row_tq1_0_ref.Rd                                 |    4 
 ggmlR-0.7.7/ggmlR/man/quantize_tq1_0.Rd                                         |    4 
 ggmlR-0.7.7/ggmlR/src/Makevars.in                                               |    6 
 ggmlR-0.7.7/ggmlR/src/Makevars.win.in                                           |    4 
 ggmlR-0.7.7/ggmlR/src/ggml-alloc.c                                              |   17 
 ggmlR-0.7.7/ggmlR/src/ggml-backend-impl.h                                       |   26 
 ggmlR-0.7.7/ggmlR/src/ggml-backend-meta.cpp                                     |only
 ggmlR-0.7.7/ggmlR/src/ggml-backend-reg.cpp                                      |   26 
 ggmlR-0.7.7/ggmlR/src/ggml-backend.cpp                                          |  180 ++
 ggmlR-0.7.7/ggmlR/src/ggml-backend.h                                            |   87 +
 ggmlR-0.7.7/ggmlR/src/ggml-common.h                                             |   30 
 ggmlR-0.7.7/ggmlR/src/ggml-context.c                                            |   58 
 ggmlR-0.7.7/ggmlR/src/ggml-core.c                                               |   51 
 ggmlR-0.7.7/ggmlR/src/ggml-cpu.h                                                |    5 
 ggmlR-0.7.7/ggmlR/src/ggml-cpu/arch-fallback.h                                  |    2 
 ggmlR-0.7.7/ggmlR/src/ggml-cpu/arch/x86/quants.c                                |    9 
 ggmlR-0.7.7/ggmlR/src/ggml-cpu/binary-ops.cpp                                   |    8 
 ggmlR-0.7.7/ggmlR/src/ggml-cpu/common.h                                         |    8 
 ggmlR-0.7.7/ggmlR/src/ggml-cpu/ggml-cpu-backend.c                               |   45 
 ggmlR-0.7.7/ggmlR/src/ggml-cpu/ggml-cpu-impl.h                                  |    3 
 ggmlR-0.7.7/ggmlR/src/ggml-cpu/ggml-cpu.cpp                                     |   17 
 ggmlR-0.7.7/ggmlR/src/ggml-cpu/ops-elemwise.cpp                                 |    6 
 ggmlR-0.7.7/ggmlR/src/ggml-cpu/ops-misc.cpp                                     |   90 +
 ggmlR-0.7.7/ggmlR/src/ggml-cpu/ops-recurrent.cpp                                |  190 ++
 ggmlR-0.7.7/ggmlR/src/ggml-cpu/ops-ssm.cpp                                      |  512 ++++++-
 ggmlR-0.7.7/ggmlR/src/ggml-cpu/ops-tensor.cpp                                   |    8 
 ggmlR-0.7.7/ggmlR/src/ggml-cpu/ops.h                                            |    2 
 ggmlR-0.7.7/ggmlR/src/ggml-cpu/quants.c                                         |   95 +
 ggmlR-0.7.7/ggmlR/src/ggml-cpu/quants.h                                         |    6 
 ggmlR-0.7.7/ggmlR/src/ggml-cpu/simd-gemm.h                                      |only
 ggmlR-0.7.7/ggmlR/src/ggml-cpu/unary-ops.cpp                                    |    2 
 ggmlR-0.7.7/ggmlR/src/ggml-graph.c                                              |   77 -
 ggmlR-0.7.7/ggmlR/src/ggml-impl.h                                               |   71 
 ggmlR-0.7.7/ggmlR/src/ggml-misc.c                                               |   49 
 ggmlR-0.7.7/ggmlR/src/ggml-ops-builders.c                                       |   81 -
 ggmlR-0.7.7/ggmlR/src/ggml-opt.cpp                                              |    1 
 ggmlR-0.7.7/ggmlR/src/ggml-opt.h                                                |    2 
 ggmlR-0.7.7/ggmlR/src/ggml-quants-iq.c                                          |   29 
 ggmlR-0.7.7/ggmlR/src/ggml-quants-new.c                                         |only
 ggmlR-0.7.7/ggmlR/src/ggml-quants-new.h                                         |only
 ggmlR-0.7.7/ggmlR/src/ggml-quants-validate.c                                    |   10 
 ggmlR-0.7.7/ggmlR/src/ggml-quants.h                                             |    8 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/ggml-vulkan-attn.cpp                          |  258 ++-
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/ggml-vulkan-device.cpp                        |  441 +++++-
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/ggml-vulkan-elemwise.cpp                      |  132 +
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/ggml-vulkan-graph.cpp                         |  375 ++++-
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/ggml-vulkan-matmul.cpp                        |  309 +++-
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/ggml-vulkan-misc.cpp                          |   91 -
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/ggml-vulkan-shaders.cpp                       |  279 +++
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/acc.comp                       |    9 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp           |    2 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp             |   25 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/cumsum_multipass1.comp         |only
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/cumsum_multipass2.comp         |only
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/dequant_funcs.glsl             |   24 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.glsl         |   36 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/dequant_nvfp4.comp             |only
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/dequant_q1_0.comp              |only
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/elu.comp                       |    9 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/flash_attn.comp                |  720 +++++++---
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/flash_attn_base.glsl           |  239 ++-
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/flash_attn_cm1.comp            |  590 +++++---
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp            |  250 ++-
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/flash_attn_mask_opt.comp       |only
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/flash_attn_mmq_funcs.glsl      |only
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/flash_attn_split_k_reduce.comp |   17 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/gated_delta_net.comp           |only
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/glu_head.glsl                  |   10 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/glu_main.glsl                  |   22 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/im2col.comp                    |  100 -
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/im2col_v2.comp                 |only
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/l2_norm.comp                   |   21 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_base.glsl          |    5 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_iface.glsl         |   12 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q2_k.comp          |    2 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q4_k.comp          |    2 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q5_k.comp          |    2 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/mul_mat_vecq.comp              |   13 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/mul_mat_vecq_funcs.glsl        |  148 +-
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/mul_mm.comp                    |   38 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/mul_mm_cm2.comp                |   16 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/mul_mm_funcs.glsl              |  352 ++--
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/mul_mm_id_funcs.glsl           |    4 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/mul_mmq.comp                   |   16 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/mul_mmq_funcs.glsl             |   24 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/mul_mmq_shmem_types.glsl       |   22 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/quantize_q8_1.comp             |   16 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/rms_norm.comp                  |    5 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/rope_funcs.glsl                |   99 -
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/rope_multi.comp                |   11 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/rope_neox.comp                 |   11 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/rope_norm.comp                 |   11 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/rope_params.glsl               |   14 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/rope_vision.comp               |   11 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/sgn.comp                       |only
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/ssm_conv.comp                  |   26 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/ssm_scan.comp                  |  108 -
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/topk_moe.comp                  |   47 
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/types.glsl                     |  354 ++++
 ggmlR-0.7.7/ggmlR/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp         |  155 +-
 ggmlR-0.7.7/ggmlR/src/ggml.h                                                    |   74 -
 ggmlR-0.7.7/ggmlR/src/gguf.cpp                                                  |  163 +-
 ggmlR-0.7.7/ggmlR/src/gguf.h                                                    |    2 
 ggmlR-0.7.7/ggmlR/src/r_interface.c                                             |   43 
 ggmlR-0.7.7/ggmlR/src/r_interface_backend.c                                     |  218 +++
 ggmlR-0.7.7/ggmlR/src/r_interface_graph.c                                       |  223 +++
 ggmlR-0.7.7/ggmlR/src/r_interface_quants.c                                      |   12 
 ggmlR-0.7.7/ggmlR/tests/testthat.R                                              |    4 
 ggmlR-0.7.7/ggmlR/tests/testthat/test-backend-extended.R                        |   54 
 ggmlR-0.7.7/ggmlR/tests/testthat/test-conv-transpose-numeric.R                  |only
 ggmlR-0.7.7/ggmlR/tests/testthat/test-conv2d-dw-numeric.R                       |only
 ggmlR-0.7.7/ggmlR/tests/testthat/test-conv2d-numeric.R                          |only
 ggmlR-0.7.7/ggmlR/tests/testthat/test-flash-attn-quants.R                       |only
 ggmlR-0.7.7/ggmlR/tests/testthat/test-functional-shared-layers.R                |only
 ggmlR-0.7.7/ggmlR/tests/testthat/test-getrows-offload-vulkan.R                  |only
 ggmlR-0.7.7/ggmlR/tests/testthat/test-ggml.R                                    |    2 
 ggmlR-0.7.7/ggmlR/tests/testthat/test-meta-backend.R                            |only
 ggmlR-0.7.7/ggmlR/tests/testthat/test-new-ops-numeric.R                         |only
 ggmlR-0.7.7/ggmlR/tests/testthat/test-print-methods.R                           |    3 
 ggmlR-0.7.7/ggmlR/tests/testthat/test-q4k-matmul-vulkan.R                       |only
 ggmlR-0.7.7/ggmlR/tests/testthat/test-quantize-fns.R                            |only
 ggmlR-0.7.7/ggmlR/tests/testthat/test-quants-iq-degenerate.R                    |only
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Package degreenet updated to version 1.3-7 with previous version 1.3-6 dated 2024-09-25

Title: Models for Skewed Count Distributions Relevant to Networks
Description: Likelihood-based inference for skewed count distributions, typically of degrees used in network modeling. "degreenet" is a part of the "statnet" suite of packages for network analysis. See Jones and Handcock <doi:10.1098/rspb.2003.2369>.
Author: Mark S. Handcock [aut, cre, cph]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>

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Package CCMnet updated to version 1.1.0 with previous version 1.0.0 dated 2026-03-02

Title: Congruence Class Models for Networks
Description: Provides an implementation of Congruence Class Models (CCMs) for generating networks. For additional details on CCMs see Goyal, Blitzstein, and De Gruttola (2014) <doi:10.1017/nws.2014.2> and Goyal, De Gruttola, Martin, Rennert, and Onnela <doi:10.48550/arXiv.2603.02467>. 'ccmnet' facilitates sampling networks based on specific topological properties and attribute mixing patterns using a Markov Chain Monte Carlo framework. The implementation builds upon code from the 'ergm' package; see Handcock, Hunter, Butts, Goodreau, and Morris (2008) <doi:10.18637/jss.v024.i01>.
Author: Ravi Goyal [aut, cre], Statnet Development Team [ctb, cph]
Maintainer: Ravi Goyal <ravi.j.goyal@gmail.com>

Diff between CCMnet versions 1.0.0 dated 2026-03-02 and 1.1.0 dated 2026-05-25

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Package wikiTools updated to version 1.2.24 with previous version 1.2.21 dated 2026-03-16

Title: Tools for Wikidata and Wikipedia
Description: A set of wrappers intended to check, read and download information from the Wikimedia sources. It is specifically created to work with names of celebrities, in which case their information and statistics can be downloaded. Additionally, it also builds links and snippets to use in combination with the function gallery() in netCoin package.
Author: Modesto Escobar [aut, cph, cre] , Angel Zazo [aut], Carlos Prieto [aut] , David Barrios [aut], Cristina Calvo [aut]
Maintainer: Modesto Escobar <modesto@usal.es>

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Package taxodist updated to version 0.4.0 with previous version 0.3.0 dated 2026-05-05

Title: Taxonomic Distance and Phylogenetic Lineage Computation
Description: Computes phylogenetic distances between any two taxa using hierarchical lineage data retrieved from The Taxonomicon <http://taxonomicon.taxonomy.nl>, a comprehensive curated classification of all life based on Systema Naturae 2000 (Brands, 1989 <http://taxonomicon.taxonomy.nl>). Given any two taxon names, retrieves their full lineages, identifies the most recent common ancestor (MRCA), and computes a dissimilarity index based on lineage depth. Outputs native dist objects, enabling direct integration with the R statistical ecosystem for hierarchical clustering, principal coordinate analysis (PCoA), and multivariate ecological analyses. Supports individual distance queries, pairwise distance matrices, clade filtering, and lineage utilities.
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

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Package mcmodule updated to version 1.3.0 with previous version 1.2.0 dated 2026-03-02

Title: Modular Monte Carlo Risk Analysis
Description: Framework for building modular Monte Carlo risk analysis models. It extends the capabilities of 'mc2d' to facilitate working with multiple risk pathways, variates and scenarios. It provides tools to organize risk analysis in independent flexible modules, align multivariate mcnodes, automate the creation of mcnodes, visualise model structure, assess convergence, and perform sensitivity analysis. For more details see Ciria (2026) <https://nataliaciria.com/mcmodule/>.
Author: Natalia Ciria [aut, cre, cph] , Alberto Allepuz [ths] , Giovanna Ciaravino [ths]
Maintainer: Natalia Ciria <nataliaciria@hotmail.com>

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Package serpstatr updated to version 0.4.1 with previous version 0.4.0 dated 2025-08-20

Title: 'Serpstat' API Wrapper
Description: The primary goal of 'Serpstat' API <https://api-docs.serpstat.com/docs/serpstat-public-api/jenasqbwtxdlr-introduction-to-serpstat-api> is to reduce manual SEO (search engine optimization) and PPC (pay-per-click) tasks. You can automate your keywords research or competitors analysis with this API wrapper.
Author: Alex Danilin [aut, cre]
Maintainer: Alex Danilin <alexnikdanilin@gmail.com>

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Package omophub updated to version 1.8.0 with previous version 1.7.0 dated 2026-04-30

Title: R Client for the 'OMOPHub' Medical Vocabulary API
Description: Provides an R interface to the 'OMOPHub' API for accessing 'OHDSI ATHENA' standardized medical vocabularies. Supports concept search, semantic search using neural embeddings, concept similarity, vocabulary exploration, hierarchy navigation, relationship queries, concept mappings, and FHIR-to-OMOP concept resolution with automatic pagination.
Author: Alex Chen [aut, cre, cph], Observational Health Data Science and Informatics [cph]
Maintainer: Alex Chen <alex@omophub.com>

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Package ErrorTracer updated to version 1.1.0 with previous version 1.0.2 dated 2026-05-04

Title: Bayesian Error Propagation and Forecast Uncertainty Decomposition
Description: Provides a full pipeline from regularized or standard regression models (elastic net, linear models, generalized linear models, random forests) to informed Bayesian priors, structured forecast uncertainty decomposition (parameter / environmental / residual, plus a temporal component when the model carries an autocorrelation term), and forecast shelf life analysis (the quantification of when a forecast becomes uninformative). Designed for ecological and genomic forecasting with climate or environmental covariates. Methods build on Bürkner (2017) <doi:10.18637/jss.v080.i01> for Bayesian regression via 'Stan', Friedman, Hastie, and Tibshirani (2010) <doi:10.18637/jss.v033.i01> for elastic net regularization, Wright and Ziegler (2017) <doi:10.18637/jss.v077.i01> for random forests, and Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4> for leave-one-out cross-validation.
Author: Luis Javier Madrigal-Roca [aut, cre], John Kelly [aut]
Maintainer: Luis Javier Madrigal-Roca <madrigalrocalj@yahoo.com>

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Package tabstats updated to version 0.2.0 with previous version 0.1.0 dated 2026-03-24

Title: A Lightweight Toolkit for Displaying Customizable Tables
Description: A lightweight toolkit that provides functions for printing tables from input data in the R console or terminal with customizable formatting. Supported outputs include American Psychological Association (APA)-style tables (American Psychological Association, 2020, ISBN:9781433832178), correlation matrices, contingency tables, and two-column summary tables.
Author: Joshua Marie [aut, cre]
Maintainer: Joshua Marie <joshua.marie.k@gmail.com>

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Package seminr updated to version 2.5.0 with previous version 2.4.2 dated 2026-02-18

Title: Building and Estimating Structural Equation Models
Description: A powerful, easy to use syntax for specifying and estimating complex Structural Equation Models. Models can be estimated using Partial Least Squares Path Modeling or Covariance-Based Structural Equation Modeling or covariance based Confirmatory Factor Analysis (Ray, Danks, and Valdez 2021 <doi:10.2139/ssrn.3900621>).
Author: Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre], Andre Calero Valdez [aut], Juan Manuel Velasquez Estrada [ctb], James Uanhoro [ctb], Johannes Nakayama [ctb], Lilian Koyan [ctb], Laura Burbach [ctb], Arturo Heynar Cano Bejar [ctb], Susanne A [...truncated...]
Maintainer: Nicholas Patrick Danks <nicholasdanks@hotmail.com>

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Package meta updated to version 8.5-0 with previous version 8.3-0 dated 2026-04-02

Title: General Package for Meta-Analysis
Description: User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - common effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - three-level meta-analysis model; - generalised linear mixed model; - logistic regression with penalised likelihood for rare events; - Hartung-Knapp method for random effects model; - Kenward-Roger method for random effects model; - prediction interval and density of the prediction distribution; - expected proportion of comparable studies with clinically important benefit or harm; - statistical tests for funnel plot asymmetry; - trim-and-fill method to evaluate bias in meta-analysis; - meta-regression; - cumulative meta-analysis and leave-one-out meta-analysis; - import data from 'RevMan 5'; - produce forest plot summarising several (subgroup) meta-analyses.
Author: Guido Schwarzer [cre, aut]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

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Package FrF2 updated to version 2.3-5 with previous version 2.3-4 dated 2025-04-16

Title: Fractional Factorial Designs with 2-Level Factors
Description: Regular and non-regular Fractional Factorial 2-level designs can be created. Furthermore, analysis tools for Fractional Factorial designs with 2-level factors are offered (main effects and interaction plots for all factors simultaneously, cube plot for looking at the simultaneous effects of three factors, full or half normal plot, alias structure in a more readable format than with the built-in function alias).
Author: Ulrike Groemping [aut, cre]
Maintainer: Ulrike Groemping <ulrike.groemping@bht-berlin.de>

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Package clipr updated to version 0.8.1 with previous version 0.8.0 dated 2022-02-21

Title: Read and Write from the System Clipboard
Description: Simple utility functions to read from and write to the Windows, OS X, and X11 clipboards.
Author: Matthew Lincoln [aut, cre] , Louis Maddox [ctb], Steve Simpson [ctb], Jennifer Bryan [ctb]
Maintainer: Matthew Lincoln <matthew.d.lincoln@gmail.com>

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Package reslr (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:

2023-06-15 0.1.1

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Package ggincerta updated to version 0.2.0 with previous version 0.1.0 dated 2025-11-11

Title: Extend 'ggplot2' with Layers and Scales for Spatial Uncertainty Visualization
Description: Provide specialized 'ggplot2' layers and scales for spatial uncertainty visualization, including bivariate choropleth maps, pixel maps, glyph maps, and exceedance probability maps.
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>

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Sun, 24 May 2026

Package ec50estimator updated to version 1.0.0 with previous version 0.1.0 dated 2020-09-15

Title: An Automated Way to Estimate EC50 for Stratified Datasets
Description: Estimates effective concentrations that reduce growth by 50 percent (EC50) in multi-isolate and stratified dose-response experiments. The package wraps model fitting from drc, returns data-frame outputs, and provides helper functions for data checks, model selection, fitted-curve plotting, prediction, diagnostics, and reporting. Information about drc is available in Ritz C, Baty F, Streibig JC, Gerhard D (2015) <doi:10.1371/journal.pone.0146021>.
Author: Kaique dos S. Alves [aut, cre]
Maintainer: Kaique dos S. Alves <kaiquedsalves@gmail.com>

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Package Copula.surv updated to version 3.1 with previous version 3.0 dated 2025-12-15

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

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Package hbsaems updated to version 1.0.0 with previous version 0.1.1 dated 2025-07-18

Title: Hierarchical Bayesian Area-Level Small Area Estimation Models
Description: Fits area-level Hierarchical Bayesian Small Area Estimation models. The methodological foundation follows the standard area-level Small Area Estimation literature, primarily Rao and Molina (2015, ISBN: 9781118735787) <doi:10.1002/9781118735855>, while computational implementation is adapted to the parameterisation and prior-specification conventions of the 'brms' package <doi:10.18637/jss.v080.i01>, which targets the Stan back-end. Supports a principled Bayesian workflow <doi:10.48550/arXiv.2011.01808>, with prior predictive checks, convergence diagnostics, model comparison, spatial random effects, custom distributions, missing-data handling, and a bilingual 'shiny' application for non-programmer analysts.
Author: Achmad Syahrul Choir [aut, cre] , Saniyyah Sri Nurhayati [aut], Sofi Zamzanah [aut], Arsyka Laila Oktalia Siregar [aut]
Maintainer: Achmad Syahrul Choir <madsyair@stis.ac.id>

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Package geocausal updated to version 0.4.1 with previous version 0.4.0 dated 2026-02-18

Title: Causal Inference with Spatio-Temporal Data
Description: Spatio-temporal causal inference based on point process data. You provide the raw data of locations and timings of treatment and outcome events, specify counterfactual scenarios, and the package estimates causal effects over specified spatial and temporal windows. See Papadogeorgou, et al. (2022) <doi:10.1111/rssb.12548> and Mukaigawara, et al. (2024) <doi:10.31219/osf.io/5kc6f>.
Author: Mitsuru Mukaigawara [cre, aut] , Lingxiao Zhou [aut], Georgia Papadogeorgou [aut] , Jason Lyall [aut] , Kosuke Imai [aut]
Maintainer: Mitsuru Mukaigawara <mitsuru_mukaigawara@g.harvard.edu>

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Package easystats updated to version 0.7.6 with previous version 0.7.5 dated 2025-07-11

Title: Framework for Easy Statistical Modeling, Visualization, and Reporting
Description: A meta-package that installs and loads a set of packages from 'easystats' ecosystem in a single step. This collection of packages provide a unifying and consistent framework for statistical modeling, visualization, and reporting. Additionally, it provides articles targeted at instructors for teaching 'easystats', and a dashboard targeted at new R users for easily conducting statistical analysis by accessing summary results, model fit indices, and visualizations with minimal programming.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Brenton M. Wiernik [aut] , Etienne Bacher [aut] , Remi Theriault [aut]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package circumplex updated to version 1.1.0 with previous version 1.0.2 dated 2025-09-23

Title: Analysis and Visualization of Circular Data
Description: Circumplex models, which organize constructs in a circle around two underlying dimensions, are popular for studying interpersonal functioning, mood/affect, and vocational preferences/environments. This package provides tools for analyzing and visualizing circular data, including scoring functions for relevant instruments and a generalization of the bootstrapped structural summary method from Zimmermann & Wright (2017) <doi:10.1177/1073191115621795> and functions for creating publication-ready tables and figures from the results.
Author: Jeffrey Girard [aut, cre] , Johannes Zimmermann [aut] , Aidan Wright [aut]
Maintainer: Jeffrey Girard <me@jmgirard.com>

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Package DATAstudio updated to version 1.2.4 with previous version 1.2.3 dated 2026-02-11

Title: The Research Data Warehouse of Miguel de Carvalho
Description: Pulls together a collection of datasets from Miguel de Carvalho research articles and books. Including, for example: - de Carvalho (2012) <doi:10.1016/j.jspi.2011.08.016>; - de Carvalho et al (2012) <doi:10.1080/03610926.2012.709905>; - de Carvalho et al (2012) <doi:10.1016/j.econlet.2011.09.007>); - de Carvalho and Davison (2014) <doi:10.1080/01621459.2013.872651>; - de Carvalho and Rua (2017) <doi:10.1016/j.ijforecast.2015.09.004>; - de Carvalho et al (2023) <doi:10.1002/sta4.560>; - de Carvalho et al (2022) <doi:10.1007/s13253-021-00469-9>; - Palacios et al (2025) <doi:10.1214/24-BA1420>.
Author: Miguel de Carvalho [aut, cre]
Maintainer: Miguel de Carvalho <Miguel.deCarvalho@ed.ac.uk>

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Package inteli updated to version 0.2.0 with previous version 0.1.2 dated 2026-01-07

Title: Interval Estimation by Likelihood Method
Description: Currently used CI method has its limitation when the test statistics are asymmetrical (chi-square test, F-test) or the model functions are non-linear. It can be overcome by using the likelihood functions for the interval estimation. 'inteli' package now supports interval estimation for the mean, variance, variance ratio, binomial distribution, Poisson distribution, odds ratio, risk difference, relative risk and their likelihood function plots. Testing functions are also provided.
Author: Minkyu Kim [aut, cre], Kyun-Seop Bae [aut]
Maintainer: Minkyu Kim <mkim@acr.kr>

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Package gap updated to version 1.15.1 with previous version 1.14 dated 2026-02-19

Title: Genetic Analysis Package
Description: As first reported [Zhao, J. H. 2007. "gap: Genetic Analysis Package". J Stat Soft 23(8):1-18. <doi:10.18637/jss.v023.i08>], it is designed as an integrated package for genetic data analysis of both population and family data. Currently, it contains functions for sample size calculations of both population-based and family-based designs, probability of familial disease aggregation, kinship calculation, statistics in linkage analysis, and association analysis involving genetic markers including haplotype analysis with or without environmental covariates. Over years, the package has been developed in-between many projects hence also in line with the name (gap).
Author: Jing Hua Zhao [aut, cre] , Kurt Hornik [ctb], Brian Ripley [ctb], Uwe Ligges [ctb], Achim Zeileis [ctb]
Maintainer: Jing Hua Zhao <jinghuazhao@hotmail.com>

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Package Fragman updated to version 1.1.0 with previous version 1.0.9 dated 2018-01-14

Title: Fragment Analysis in R
Description: Performs fragment analysis using genetic data coming from capillary electrophoresis machines. These are files with FSA extension which stands for FASTA-type file, and .txt files from Beckman CEQ 8000 system, both contain DNA fragment intensities read by machinery. In addition to visualization, it performs automatic scoring of SSRs (Sample Sequence Repeats; a type of genetic marker very common across the genome) and other type of PCR markers (standing for Polymerase Chain Reaction) in biparental populations such as F1, F2, BC (backcross), and diversity panels (collection of genetic diversity).
Author: Giovanny Covarrubias-Pazaran [aut, cre] , Luis Diaz-Garcia [aut], Brandon Schlautman [aut], Walter Salazar [aut], Juan Zalapa [aut]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package edar updated to version 0.0.7 with previous version 0.0.6 dated 2025-11-25

Title: Convenient Functions for Exploratory Data Analysis
Description: A collection of convenient functions to facilitate common tasks in exploratory data analysis. Some common tasks include generating summary tables of variables, displaying tables as a 'flextable' or a 'kable' and visualising variables using 'ggplot2'. Labels stating the source file with run time can be easily generated for annotation in tables and plots.
Author: Tomas Sou [aut, cre]
Maintainer: Tomas Sou <tomas.sou@carexer.com>

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Package FuncMap (with last version 1.0.10) was removed from CRAN

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

2018-05-25 1.0.10
2015-07-15 1.0.8
2015-01-13 1.0-3
2013-03-29 1.0-2
2011-11-02 1.0-1
2010-12-21 1.0

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Package bpbounds updated to version 0.1.7 with previous version 0.1.6 dated 2024-06-13

Title: Nonparametric Bounds for the Average Causal Effect Due to Balke and Pearl and Extensions
Description: Implementation of the nonparametric bounds for the average causal effect under an instrumental variable model by Balke and Pearl (Bounds on Treatment Effects from Studies with Imperfect Compliance, JASA, 1997, 92, 439, 1171-1176, <doi:10.1080/01621459.1997.10474074>). The package can calculate bounds for a binary outcome, a binary treatment/phenotype, and an instrument with either 2 or 3 categories. The package implements bounds for situations where these 3 variables are measured in the same dataset (trivariate data) or where the outcome and instrument are measured in one study and the treatment/phenotype and instrument are measured in another study (bivariate data).
Author: Tom Palmer [aut, cre] , Roland Ramsahai [aut] , Vanessa Didelez [aut] , Nuala Sheehan [aut]
Maintainer: Tom Palmer <remlapmot@hotmail.com>

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Package RFIF readmission to version 1.0.2 with previous version 1.0.1 dated 2026-04-10

Title: Fast Iterative Filtering (FIF) with Portable FFT Backend
Description: Provides an R interface to a C implementation of Fast Iterative Filtering (FIF) for decomposing a univariate signal into intrinsic mode functions (IMFs) and a residual. The package uses Fast Fourier Transform library FFTW, if found. If not, it provides instructions to install it for your OS. This is recommended, as R's internal fft(), while avoiding external FFT dependencies, is two orders of magnitude slower. See vignette 'Installing FFTW for RFIF' for RFIF installation instructions.
Author: Chuck Coleman [aut, cre]
Maintainer: Chuck Coleman <cdcoleman113@gmail.com>

This is a re-admission after prior archival of version 1.0.1 dated 2026-04-10

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Package nhlscraper updated to version 0.6.1 with previous version 0.6.0 dated 2026-04-07

Title: Scraper for National Hockey League Data
Description: Scrapes and cleans data from the 'NHL' and 'ESPN' APIs into data.frames and lists. Wraps 125+ endpoints documented in <https://github.com/RentoSaijo/nhlscraper/wiki> from high-level multi-season summaries and award winners to low-level decisecond replays and bookmakers' odds, making them more accessible. Features cleaning and visualization tools, primarily for play-by-plays.
Author: Rento Saijo [aut, cre, cph] , Lars Skytte [ctb], Jack Pallotta [ctb]
Maintainer: Rento Saijo <rentosaijo0527@gmail.com>

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Package geocodebr updated to version 0.6.3 with previous version 0.6.2 dated 2026-04-13

Title: Geolocalização De Endereços Brasileiros (Geocoding Brazilian Addresses)
Description: Método simples e eficiente de geolocalizar dados no Brasil. O pacote é baseado em conjuntos de dados espaciais abertos de endereços brasileiros, utilizando como fonte principal o Cadastro Nacional de Endereços para Fins Estatísticos (CNEFE). O CNEFE é publicado pelo Instituto Brasileiro de Geografia e Estatística (IBGE), órgão oficial de estatísticas e geografia do Brasil. (A simple and efficient method for geolocating data in Brazil. The package is based on open spatial datasets of Brazilian addresses, primarily using the Cadastro Nacional de Endereços para Fins Estatísticos (CNEFE), published by the Instituto Brasileiro de Geografia e Estatística (IBGE), Brazil's official statistics and geography agency.)
Author: Rafael H. M. Pereira [aut, cre] , Daniel Herszenhut [aut] , Gabriel Garcia de Almeida [aut] , Arthur Bazolli [ctb], Pedro Milreu Cunha [ctb], ITpS - Instituto Todos pela Saude [fnd], Ipea - Instituto de Pesquisa Economica Aplicada [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

Diff between geocodebr versions 0.6.2 dated 2026-04-13 and 0.6.3 dated 2026-05-24

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Package bayestestR updated to version 0.18.1 with previous version 0.18.0 dated 2026-05-21

Title: Understand and Describe Bayesian Models and Posterior Distributions
Description: Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors). References: Makowski et al. (2021) <doi:10.21105/joss.01541>.
Author: Dominique Makowski [aut, cre] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Micah K. Wilson [aut] , Brenton M. Wiernik [aut] , Paul-Christian Buerkner [rev], Tristan Mahr [rev] , Henrik Singmann [ctb] , Quentin F. Gron [...truncated...]
Maintainer: Dominique Makowski <officialeasystats@gmail.com>

Diff between bayestestR versions 0.18.0 dated 2026-05-21 and 0.18.1 dated 2026-05-24

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Package thisutils updated to version 0.4.7 with previous version 0.4.5 dated 2026-04-24

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] , Haoliang Zhu [aut]
Maintainer: Meng Xu <mengxu98@qq.com>

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Package see updated to version 0.14.0 with previous version 0.13.0 dated 2026-01-30

Title: Model Visualisation Toolbox for 'easystats' and 'ggplot2'
Description: Provides plotting utilities supporting packages in the 'easystats' ecosystem (<https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for 'ggplot2'. Color scales are based on <https://materialui.co/>. References: Lüdecke et al. (2021) <doi:10.21105/joss.03393>.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, inv] , Indrajeet Patil [aut] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Remi Theriault [aut, ctb] , Philip Waggoner [aut, ctb] , Jeffrey R. Stevens [ctb] , Matthew Smith [ [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

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Package ScottKnott updated to version 1.4-0 with previous version 1.3-3 dated 2025-03-15

Title: The ScottKnott Clustering Algorithm
Description: Performs the Scott & Knott (1974) clustering algorithm as a multiple comparison method in the Analysis of Variance context, for both balanced and unbalanced <doi:10.1590/1984-70332017v17n1a1> designs. Accepts input from 'formula', 'aov', 'lm', 'aovlist', and 'lmerMod' objects.
Author: J. C. Faria [aut], E. G. Jelihovschi [aut], I. B. Allaman [aut, cre]
Maintainer: I. B. Allaman <ivanalaman@gmail.com>

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Package parameters updated to version 0.29.1 with previous version 0.29.0 dated 2026-05-09

Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see list of supported models using the function 'insight::supported_models()'), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Soeren Hoejsgaard [aut], Brenton M. Wiernik [aut] , Zen J. Lau [ctb], Vincent Arel-Bundock [ctb] , Jeffrey Girard [ctb] , Christina Maimone [re [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

Diff between parameters versions 0.29.0 dated 2026-05-09 and 0.29.1 dated 2026-05-24

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Package TukeyC updated to version 1.4-0 with previous version 1.3-44 dated 2026-02-25

Title: Conventional Tukey Test
Description: Performs multiple comparison analyses using Tukey's Honestly Significant Difference (HSD) test, with intuitive letter grouping of means for balanced and unbalanced designs. Accepts input from 'formula', 'aov', 'lm', 'aovlist', and 'lmerMod' objects, including straightforward handling of interactions. For more details see Tukey (1949) <doi:10.2307/3001913>.
Author: J. C. Faria [aut], E. G. Jelihovschi [aut], I. B. Allaman [aut, cre]
Maintainer: I. B. Allaman <ivanalaman@gmail.com>

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Package mpmaggregate updated to version 0.2.6 with previous version 0.2.5 dated 2026-04-03

Title: Aggregate Matrix Population Models
Description: Aggregates matrix population models (MPMs) in both the lambda (stable growth rate) and R0 (net reproductive rate) frameworks, including standard and elasticity-consistent aggregators. Standard aggregation in the lambda framework maintains consistent lambda and stable stage distribution, while standard aggregation in the R0 framework maintains consistent R0 and cohort stable stage distribution. Elasticity-consistent aggregators maintain these same consistencies with respect to the chosen framework and additionally preserve consistent reproductive values in the lambda framework and cohort reproductive values in the R0 framework. Aggregation can take the form of general-to-general MPM (mpm_aggregate) or Leslie-to-Leslie MPM (leslie_aggregate).
Author: Richard A. Hinrichsen [aut, cre] , Roberto Salguero-Gomez [aut] , Hiroyuki Yokomizo [aut]
Maintainer: Richard A. Hinrichsen <r.hinrichsen.ecology@gmail.com>

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Package likelihood.model updated to version 1.0.1 with previous version 1.0.0 dated 2026-03-19

Title: Likelihood-Based Statistical Inference in the Fisherian Tradition
Description: Facilitates building likelihood models in the Fisherian tradition following Richard Royall (1997, ISBN:978-0412044113) "Statistical Evidence: A Likelihood Paradigm". Defines generic methods for working with likelihoods (loglik(), score(), hess_loglik(), fim()) and provides functions for pure likelihood-based inference (support(), relative_likelihood(), likelihood_interval(), profile_loglik()).
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>

Diff between likelihood.model versions 1.0.0 dated 2026-03-19 and 1.0.1 dated 2026-05-24

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Package swash updated to version 2.0.1 with previous version 2.0.0 dated 2026-04-06

Title: Health Geography Toolbox for Model-Based Analysis of Infections Panel Data
Description: Within epidemic outbreaks, infections grow and decline differently between regions, and the velocity of spatial spread differs between countries. The swash library offers a set of model-based analyses for these topics. Spread velocity may be analysed with the Swash-Backwash Model for the Single Epidemic Wave and corresponding functions for bootstrap confidence intervals, country comparison, and visualization of results. Differences in epidemic growth between regions may be analysed using logistic growth models, exponential growth models, Hawkes processes and breakpoint analyses. All functionalities are accessed by the class "infpan" for infections panel data defined in this package, which is built from a data.frame provided by the user.
Author: Thomas Wieland [aut, cre]
Maintainer: Thomas Wieland <geowieland@googlemail.com>

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Package spatstat.explore updated to version 3.8-1 with previous version 3.8-0 dated 2026-03-22

Title: Exploratory Data Analysis for the 'spatstat' Family
Description: Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Ya-Mei Chang [ctb], Jean-Francois Coeurjolly [ctb], Lucia Cobo Sanchez [ctb, cph], Ottma [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package clinpubr updated to version 1.4.0 with previous version 1.3.0 dated 2026-03-07

Title: Clinical Publication
Description: Accelerate the process from clinical data to medical publication, including clinical data cleaning, significant result screening, and the generation of publish-ready tables and figures.
Author: Yue Niu [aut, cre, cph] , Keyun Wang [aut]
Maintainer: Yue Niu <niuyuesam@163.com>

Diff between clinpubr versions 1.3.0 dated 2026-03-07 and 1.4.0 dated 2026-05-24

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 R/check_nonnum.R                                                                          |    2 
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 R/combine_files.R                                                                         |    2 
 R/data_overview.R                                                                         |   14 
 R/data_screen.R                                                                           |   43 
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 R/time_roc.R                                                                              |   19 
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 man/unit_view.Rd                                                                          |    5 
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 tests/testthat/_snaps/regressions.md                                                      |   40 
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Package thisplot updated to version 0.4.0 with previous version 0.3.8 dated 2026-04-24

Title: Utility Functions for Plotting
Description: Provides utility functions for plotting. Includes functions for color manipulation, plot customization, panel size control, data optimization for plots, and layout adjustments.
Author: Meng Xu [aut, cre] , Haoliang Zhu [aut]
Maintainer: Meng Xu <mengxu98@qq.com>

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Package pboost updated to version 0.4.11 with previous version 0.4.8 dated 2026-05-13

Title: Profile Boosting Framework for Parametric Models
Description: A profile boosting framework for feature selection in parametric models. It offers a unified interface pboost() and several wrapped models, including linear model, generalized linear models, quantile regression, Cox proportional hazards model, beta regression, spatial auto-regressive models.
Author: Zengchao Xu [aut, cre, cph]
Maintainer: Zengchao Xu <zengc.xu@aliyun.com>

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

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

2025-06-23 1.0.1

Permanent link
Package rTLsDeep (with last version 0.0.5) was removed from CRAN

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

2023-03-31 0.0.5

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Package sqlserverconnect (with last version 0.1.0) was removed from CRAN

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

2026-02-16 0.1.0

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Package spatstat.random updated to version 3.5-0 with previous version 3.4-5 dated 2026-03-22

Title: Random Generation Functionality for the 'spatstat' Family
Description: Functionality for random generation of spatial data in the 'spatstat' family of packages. Generates random spatial patterns of points according to many simple rules (complete spatial randomness, Poisson, binomial, random grid, systematic, cell), randomised alteration of patterns (thinning, random shift, jittering), simulated realisations of random point processes including simple sequential inhibition, Matern inhibition models, Neyman-Scott cluster processes (using direct, Brix-Kendall, or hybrid algorithms), log-Gaussian Cox processes, product shot noise cluster processes and Gibbs point processes (using Metropolis-Hastings birth-death-shift algorithm, alternating Gibbs sampler, or coupling-from-the-past perfect simulation). Also generates random spatial patterns of line segments, random tessellations, and random images (random noise, random mosaics). Excludes random generation on a linear network, which is covered by the separate package 'spatstat.linnet'.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Tilman Davies [aut, cph] , Kasper Klitgaard Berthelsen [ctb, cph], David Bryant [ctb, cph], Ya-Mei Chang [ctb, cph], Ute Hahn [ctb], Abdollah Jalilian [ctb], Dominic Sc [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Sat, 23 May 2026

Package fetwfe updated to version 1.10.0 with previous version 1.5.0 dated 2025-07-02

Title: Fused Extended Two-Way Fixed Effects
Description: Calculates the fused extended two-way fixed effects (FETWFE) estimator for unbiased and efficient estimation of difference-in-differences in panel data with staggered treatment adoption. This estimator eliminates bias inherent in conventional two-way fixed effects estimators, while also employing a novel bridge regression regularization approach to improve efficiency and yield valid standard errors. Also implements extended TWFE (etwfe) and bridge-penalized ETWFE (betwfe). Provides S3 classes for streamlined workflow and supports flexible tuning (ridge and rank-condition guarantees), automatic covariate centering/scaling, and detailed overall and cohort-specific effect estimates with valid standard errors. Includes simulation and formatting utilities, extensive diagnostic tools, vignettes, and examples. See Faletto (2025) (<doi:10.48550/arXiv.2312.05985>).
Author: Gregory Faletto [aut, cre]
Maintainer: Gregory Faletto <gfaletto@gmail.com>

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Package betaARMA updated to version 1.2.0 with previous version 1.1.0 dated 2026-04-15

Title: Beta Autoregressive Moving Average Models
Description: Fits Beta Autoregressive Moving Average (BARMA) models for time series data distributed in the standard unit interval (0, 1). The estimation is performed via the conditional maximum likelihood method using the Broyden-Fletcher-Goldfarb-Shanno (BFGS) quasi-Newton algorithm. A ridge penalization scheme is available to improve numerical stability of the estimation, as proposed by Cribari-Neto, Costa and Fonseca (2025) <doi:10.1214/25-BJPS645>. The package includes tools for model fitting, diagnostic checking, and forecasting, along with two hydro-environmental datasets from Brazil. Based on the work of Rocha and Cribari-Neto (2009) <doi:10.1007/s11749-008-0112-z> and the associated erratum Rocha and Cribari-Neto (2017) <doi:10.1007/s11749-017-0528-4>. The original code was developed by Fabio M. Bayer.
Author: Everton da Costa [aut, cre] , Francisco Cribari-Neto [ctb, ths] , Vinicius Scher [ctb]
Maintainer: Everton da Costa <everto.cost@gmail.com>

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Package glasstabs updated to version 0.3.2 with previous version 0.2.1 dated 2026-04-11

Title: Animated Glass-Style Tabs and Multi-Select Filter for 'Shiny'
Description: Tools for creating animated glassmorphism-style tab navigation and select filter widgets in 'Shiny' applications. Provides a tab navigation component with a sliding glass halo animation, a searchable multi-select dropdown, and a single-select dropdown — all with multiple colour themes and server-side update helpers. Tabs support icons, numeric badges, disable/enable toggling, runtime append/remove, reactive rendering via 'renderGlassTabs()', URL bookmarking, and compact mode for dashboard card layouts. 'glassTabCondition()' generates 'conditionalPanel()' condition strings without needing to recall the internal input key pattern. 'glasstabs_news()' displays the release notes from the R console. Built-in example apps can be launched with 'runGlassExample()'. All widgets are compatible with standard 'Shiny' layouts and 'bs4Dash' dashboards. For full documentation and examples see Arthur (2026) <https://prigasg.github.io/glasstabs/>.
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>

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Package allometry updated to version 0.2.0 with previous version 0.1.1 dated 2025-07-17

Title: Examples of Datasets on Allometry
Description: Examples of datasets on allometry, the study of the relationship of biological traits to body size. This package contains the datasets of morphological measurement taken from 113 maritime earwigs (Anisolabis maritima) by Matsuzawa and Konuma (2025) <doi:10.1093/biolinnean/blaf031>, and taken from 507 Helm’s stag beetles (Geodorcus helmsi) collected by Grey et al. (2025) <doi:10.1093/biolinnean/blae024>.
Author: Takeshi Abe [aut, cre]
Maintainer: Takeshi Abe <tabe@fixedpoint.jp>

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Package PathwaySpace updated to version 1.3.0 with previous version 1.2.0 dated 2026-04-25

Title: Spatial Projection of Network Signals along Geodesic Paths
Description: For a given graph containing vertices, edges, and a signal associated with the vertices, the 'PathwaySpace' package performs a convolution operation, which involves a weighted combination of neighboring vertices and their associated signals. The package uses a decay function to project these signals, creating geodesic paths on a 2D-image space. 'PathwaySpace' has various applications, such as visualizing network data in a graphical format that highlights the relationships and signal strengths between vertices. By combining graph theory, signal processing, and visualization, 'PathwaySpace' provides a way of representing graph data on a continuous projection space. Based on methods introduced in Tercan et al. (2025) <doi:10.1016/j.xpro.2025.103681> and Ellrott et al. (2025) <doi:10.1016/j.ccell.2024.12.002>.
Author: Sysbiolab Team [aut], Victor Apolonio [ctb], Jonathan Back [ctb], Lana Querne [ctb], Vinicius Chagas [ctb], Bahar Tercan [ctb], Mauro Castro [cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>

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Package ggdiagram updated to version 0.2.0 with previous version 0.1.1 dated 2025-09-14

Title: Object-Oriented Diagram Plots with 'ggplot2'
Description: Creates diagrams with an object-oriented approach. Geometric objects have computed properties with information about themselves (e.g., their area) or about their relationships with other objects (e.g, the distance between their edges). The objects have methods to convert them to geoms that can be plotted in 'ggplot2'.
Author: W. Joel Schneider [aut, cre]
Maintainer: W. Joel Schneider <w.joel.schneider@gmail.com>

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Package RTL updated to version 1.3.9 with previous version 1.3.7 dated 2025-02-25

Title: Risk Tool Library - Trading, Risk, Analytics for Commodities
Description: A toolkit for Commodities 'analytics', risk management and trading professionals. Includes functions for API calls to <https://www.zema.global/platforms/zema-marketplace>, <https://developer.genscape.com/>, and <https://www.bankofcanada.ca/valet/docs>.
Author: Philippe Cote [aut, cre], Nima Safaian [aut]
Maintainer: Philippe Cote <pcote@ualberta.ca>

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Package QCAcluster readmission to version 0.2.0 with previous version 0.1.0 dated 2021-10-26

Title: Tools for the Analysis of Clustered Data in QCA
Description: Clustered set-relational data in Qualitative Comparative Analysis (QCA) can have a hierarchical structure, a panel structure or repeated cross sections. 'QCAcluster' allows researchers to supplement the analysis of pooled the data with a differentiated perspective focusing on selected partitions of the data. The pooled data can be partitioned along the dimensions of the clustered data (individual cross sections or time series) to perform partition-specific truth table minimization. Empirical researchers can further calculate the weight that each partition has on the parameters of the pooled solution and the diversity of the cases under analysis within and across partitions (see <https://ingorohlfing.github.io/QCAcluster/>).
Author: Ingo Rohlfing [aut, cre] , Ayjeren Bekmuratovna [aut], Jan Schwalbach [aut]
Maintainer: Ingo Rohlfing <ingo.rohlfing@uni-passau.de>

This is a re-admission after prior archival of version 0.1.0 dated 2021-10-26

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Package highMLR updated to version 1.0.1 with previous version 0.1.1 dated 2022-07-18

Title: Machine Learning Feature Selection for High Dimensional Survival Data
Description: A unified, flexible framework for high dimensional feature selection in the presence of a survival outcome. Provides multiple machine learning approaches (Cox elastic net, random survival forest, accelerated oblique random survival forest, gradient-boosted Cox, stability selection, classical univariate Cox screening, pseudo- observation bridging to arbitrary regression learners, and Fine-Gray competing risks selection) under a single interface. Adds causal survival forest estimation of heterogeneous treatment effects on survival (experimental), conformal survival prediction with finite- sample coverage guarantees, and time-dependent 'SHAP' explanations via 'SurvSHAP(t)'. Methodology is based on regularised Cox regression (2011) <doi:10.18637/jss.v039.i05>, random survival forests (2008) <doi:10.1214/08-AOAS169>, oblique random survival forests (2024) <doi:10.1080/10618600.2023.2231048>, stability selection (2010) <doi:10.1111/j.1467-9868.2010.00740.x>, causal su [...truncated...]
Author: Atanu Bhattacharjee [aut, cre]
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>

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Package voluModel readmission to version 0.2.4 with previous version 0.2.3 dated 2025-07-18

Title: Modeling Species Distributions in Three Dimensions
Description: Facilitates modeling species' ecological niches and geographic distributions based on occurrences and environments that have a vertical as well as horizontal component, and projecting models into three-dimensional geographic space. Working in three dimensions is useful in an aquatic context when the organisms one wishes to model can be found across a wide range of depths in the water column. The package also contains functions to automatically generate marine training model training regions using machine learning, and interpolate and smooth patchily sampled environmental rasters using thin plate splines. Davis Rabosky AR, Cox CL, Rabosky DL, Title PO, Holmes IA, Feldman A, McGuire JA (2016) <doi:10.1038/ncomms11484>. Nychka D, Furrer R, Paige J, Sain S (2021) <doi:10.5065/D6W957CT>. Pateiro-Lopez B, Rodriguez-Casal A (2022) <https://CRAN.R-project.org/package=alphahull>.
Author: Hannah L. Owens [aut, cre, cph] , Emmaline Sheahan [aut] , Carsten Rahbek [aut]
Maintainer: Hannah L. Owens <hannah.owens@gmail.com>

This is a re-admission after prior archival of version 0.2.3 dated 2025-07-18

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Package verifyr2 updated to version 1.2.0 with previous version 1.1.0 dated 2026-01-08

Title: Compare and Verify File Contents
Description: Extendable 'R6' file comparison classes, including a 'shiny' app for combining the comparison functionality into a file comparison application. The package idea originates from pharma companies' drug development processes, where statisticians and statistical programmers need to review and compare different versions of the same outputs and datasets. The package implementation itself is not tied to any specific industry and can be used in any context for easy file comparisons between different file version sets.
Author: Juha Javanainen [aut, cre], Tiina Kirsilae [ctb], Anna Wiksten [ctb]
Maintainer: Juha Javanainen <ejuhjav@gmail.com>

Diff between verifyr2 versions 1.1.0 dated 2026-01-08 and 1.2.0 dated 2026-05-23

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Package spatstat.geom updated to version 3.8-1 with previous version 3.7-3 dated 2026-03-23

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Warick Brown [ctb], Tilman Davies [ctb], Ute Hahn [ctb], Martin Hazelton [ctb], Abdollah Jalilian [ctb], Greg McSwiggan [ctb, cph], Sebastian Meyer [ctb, cph], Jens Oeh [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package SpaDES.core updated to version 3.1.2 with previous version 3.1.0 dated 2026-05-19

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

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Package serieshaz updated to version 0.2.0 with previous version 0.1.1 dated 2026-04-13

Title: Series System Distributions from Dynamic Failure Rate Components
Description: Compose multiple dynamic failure rate distributions into series system distributions where the system hazard equals the sum of component hazards. Supports hazard, survival, cumulative distribution function, density, sampling, and maximum likelihood estimation fitting via the dfr_dist() class from 'flexhaz'. Series distributions implement the 'dist.structure' protocol so structural queries (phi, min_paths, min_cuts, system_signature, structural importance, reliability, dual) and the importance measures from 'dist.structure' work directly on serieshaz objects. Methods for series system reliability follow Barlow and Proschan (1975, ISBN:0898713692).
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>

Diff between serieshaz versions 0.1.1 dated 2026-04-13 and 0.2.0 dated 2026-05-23

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Package qtlcharts updated to version 0.20 with previous version 0.18 dated 2025-05-10

Title: Interactive Graphics for QTL Experiments
Description: Web-based interactive charts (using D3.js) for the analysis of experimental crosses to identify genetic loci (quantitative trait loci, QTL) contributing to variation in quantitative traits. Broman (2015) <doi:10.1534/genetics.114.172742>.
Author: Karl W Broman [aut, cre] , Michael Bostock [ctb, cph] , jQuery Foundation [cph] , jQuery contributors [ctb] , jQuery UI contributors [ctb]
Maintainer: Karl W Broman <broman@wisc.edu>

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Package PublicationBiasBenchmark updated to version 0.2.1 with previous version 0.2.0 dated 2026-03-16

Title: Benchmark for Publication Bias Correction Methods
Description: Implements a unified interface for benchmarking meta-analytic publication bias correction methods through simulation studies (see Bartoš et al., 2025, <doi:10.48550/arXiv.2510.19489>). It provides 1) predefined data-generating mechanisms from the literature, 2) functions for running meta-analytic methods on simulated data, 3) pre-simulated datasets and pre-computed results for reproducible benchmarks, 4) tools for visualizing and comparing method performance.
Author: Frantisek Bartos [aut, cre] , Samuel Pawel [aut] , Bjoern S. Siepe [aut] , Petr Čala [aut]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package otargen updated to version 2.0.1 with previous version 2.0.0 dated 2025-07-15

Title: Access Open Target
Description: Interact seamlessly with Open Target GraphQL endpoint to query and retrieve tidy data tables, facilitating the analysis of gene, disease, drug, and genetic data. For more information about the Open Target API (<https://platform.opentargets.org/api>).
Author: Amir Feizi [aut, cre]
Maintainer: Amir Feizi <afeizi@gmail.com>

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Package mdbr updated to version 0.3.0 with previous version 0.2.1 dated 2024-03-12

Title: Work with Microsoft Access Files
Description: Work with Microsoft Access '.mdb' and '.accdb' files using the open source 'MDB Tools' library <https://github.com/mdbtools/mdbtools/>. The library is compiled and bundled with the package, so no external installation is required. Provides high-level helpers for reading tables, exporting to CSV or JSON, inspecting table definitions, and running SQL queries. Also exposes a full read-only 'DBI' interface for use with standard database workflows.
Author: Kiernan Nicholls [aut, cre, cph] , Bruno Tremblay [ctb]
Maintainer: Kiernan Nicholls <k5cents@gmail.com>

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Package lpdensity updated to version 3.0.1 with previous version 3.0 dated 2026-05-21

Title: Local Polynomial Density Estimation and Inference
Description: Implements local polynomial distribution and density methods for point estimation, inference and bandwidth selection, documented in Cattaneo, Jansson and Ma (2020) <doi:10.1080/01621459.2019.1635480>, Cattaneo, Jansson and Ma (2022) <doi:10.18637/jss.v101.i02>, and Cattaneo, Jansson and Ma (2024) <doi:10.1016/j.jeconom.2021.01.006>. lpdensity() constructs local polynomial distribution and density estimators with robust bias-corrected inference, and lpbwdensity() implements data-driven bandwidth selection.
Author: Matias D. Cattaneo [aut, cre], Michael Jansson [aut], Xinwei Ma [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

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New package impARI with initial version 0.0.3
Package: impARI
Title: Improving Permutation-Based All-Resolutions Inference ('impARI')
Version: 0.0.3
Date: 2026-05-20
Description: The goal is to improve a permutation-based approach (R package: 'pARI') for simultaneous inference on the true discovery proportion by a branch-and-bound algorithm. It is designed to return a list with a bracketing for the true discovery proportion, rather than a single lower bound from 'pARI'. For more details see Andreella. A (2023) <doi:10.1002/sim.9725>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.12)
LinkingTo: Rcpp,RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-05-21 04:04:43 UTC; ningn
Author: Ningning Xu [aut, cre]
Maintainer: Ningning Xu <ningningxu312@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-23 11:20:08 UTC

More information about impARI at CRAN
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Package igoR updated to version 1.0.2 with previous version 1.0.1 dated 2026-03-13

Title: Access the Intergovernmental Organizations Database
Description: Tools for searching, extracting and recoding information from the Intergovernmental Organizations ('IGO') Database (v3), distributed by the Correlates of War Project <https://correlatesofwar.org/>. See also Pevehouse, J. C. et al. (2020) <doi:10.1177/0022343319881175>.
Author: Diego Hernangomez [aut, cre, cph] , The Correlates of War Project [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package hydroloom updated to version 1.2.0 with previous version 1.1.2 dated 2026-02-20

Title: Utilities to Weave Hydrologic Fabrics
Description: A collection of utilities that support creation of network attributes for hydrologic networks. Methods and algorithms implemented are documented in Moore et al. (2019) <doi:10.3133/ofr20191096>), Cormen and Leiserson (2022) <ISBN:9780262046305> and Verdin and Verdin (1999) <doi:10.1016/S0022-1694(99)00011-6>.
Author: David Blodgett [aut, cre] , Andrew Psoras [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

Diff between hydroloom versions 1.1.2 dated 2026-02-20 and 1.2.0 dated 2026-05-23

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More information about hydroloom at CRAN
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Package gapclosing readmission to version 1.0.3 with previous version 1.0.2 dated 2021-10-11

Title: Estimate Gaps Under an Intervention
Description: Provides functions to estimate the disparities across categories (e.g. Black and white) that persists if a treatment variable (e.g. college) is equalized. Makes estimates by treatment modeling, outcome modeling, and doubly-robust augmented inverse probability weighting estimation, with standard errors calculated by a nonparametric bootstrap. Cross-fitting is supported. Survey weights are supported for point estimation but not for standard error estimation; those applying this package with complex survey samples should consult the data distributor to select an appropriate approach for standard error construction, which may involve calling the functions repeatedly for many sets of replicate weights provided by the data distributor. The methods in this package are described in the accompanying paper: <doi:10.1177/00491241211055769>.
Author: Ian Lundberg [aut, cre]
Maintainer: Ian Lundberg <ianlundberg@ucla.edu>

This is a re-admission after prior archival of version 1.0.2 dated 2021-10-11

Diff between gapclosing versions 1.0.2 dated 2021-10-11 and 1.0.3 dated 2026-05-23

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More information about gapclosing at CRAN
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Package fcmfd updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-05

Title: Fuzzy C-Means for Fuzzy Data
Description: Implements a fuzzy clustering approach for ordinal Likert-type data using triangular fuzzy numbers (TFNs). The package extends the classical fuzzy C-means algorithm to better handle uncertainty in ordinal scales and includes automatic selection of the number of clusters using the Xie-Beni validity index. References: Coppi, R., D'Urso, P., and Giordani, P. (2012), "Fuzzy and possibilistic clustering for fuzzy data", <doi:10.1016/j.csda.2010.09.013>. Xie, X. L. and Beni, G. (1991), "A validity measure for fuzzy clustering", <doi:10.1109/34.85677>.
Author: Jose Ortigas [aut, cre]
Maintainer: Jose Ortigas <jose.ortigas@unmsm.edu.pe>

Diff between fcmfd versions 0.1.0 dated 2026-05-05 and 0.1.1 dated 2026-05-23

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Package DSIR updated to version 0.7.1 with previous version 0.7.0 dated 2026-05-21

Title: Data Science Infrastructure for Global Health
Description: Supports global health data analysis, including a publication-ready 'ggplot2' theme, a 'flextable' defaults helper, a thin pie chart wrapper, built-in regional country-code datasets with a WHO region lookup helper, a geometric mean function for indicator aggregation, and convenience clients for the World Health Organization Global Health Observatory (GHO) OData API <https://ghoapi.azureedge.net/api/> and the United Nations Sustainable Development Goals (SDG) API <https://unstats.un.org/SDGAPI/swagger/>.
Author: Shanlong Ding [aut, cre]
Maintainer: Shanlong Ding <dings@who.int>

Diff between DSIR versions 0.7.0 dated 2026-05-21 and 0.7.1 dated 2026-05-23

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More information about DSIR at CRAN
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Package couplr updated to version 1.4.1 with previous version 1.4.0 dated 2026-05-18

Title: Optimal Pairing and Matching via Linear Assignment
Description: Solves optimal pairing and matching problems using linear assignment algorithms. Provides implementations of the Hungarian method (Kuhn 1955) <doi:10.1002/nav.3800020109>, Jonker-Volgenant shortest path algorithm (Jonker and Volgenant 1987) <doi:10.1007/BF02278710>, Auction algorithm (Bertsekas 1988) <doi:10.1007/BF02186476>, cost-scaling (Goldberg and Kennedy 1995) <doi:10.1007/BF01585996>, scaling algorithms (Gabow and Tarjan 1989) <doi:10.1137/0218069>, push-relabel (Goldberg and Tarjan 1988) <doi:10.1145/48014.61051>, and Sinkhorn entropy-regularized transport (Cuturi 2013) <doi:10.48550/arxiv.1306.0895>. Designed for matching plots, sites, samples, or any pairwise optimization problem. Supports rectangular matrices, forbidden assignments, data frame inputs, batch solving, k-best solutions, and pixel-level image morphing for visualization. Includes automatic preprocessing with variable health checks, multiple scaling methods (standardized, [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between couplr versions 1.4.0 dated 2026-05-18 and 1.4.1 dated 2026-05-23

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