Sat, 26 Sep 2026

Package gkwdist updated to version 1.1.7 with previous version 1.1.5 dated 2026-08-23

Title: Generalized Kumaraswamy Distribution Family
Description: Implements the five-parameter Generalized Kumaraswamy ('gkw') distribution proposed by 'Carrasco, Ferrari and Cordeiro (2010)' <doi:10.48550/arXiv.1004.0911> and its seven nested sub-families for modeling bounded continuous data on the unit interval (0,1). The 'gkw' distribution extends the Kumaraswamy distribution described by Jones (2009) <doi:10.1016/j.stamet.2008.04.001>. Provides density, distribution, quantile, and random generation functions, along with analytical log-likelihood, gradient, and Hessian functions implemented in 'C++' via 'RcppArmadillo' for maximum computational efficiency. Suitable for modeling proportions, rates, percentages, and indices exhibiting complex features such as asymmetry, or heavy tails and other shapes not adequately captured by standard distributions like simple Beta or Kumaraswamy.
Author: Jose Evandeilton Lopes [aut, cre]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>

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Package sigminer updated to version 2.3.3 with previous version 2.3.1 dated 2024-05-11

Title: Extract, Analyze and Visualize Mutational Signatures for Genomic Variations
Description: Genomic alterations including single nucleotide substitution, copy number alteration, etc. are the major force for cancer initialization and development. Due to the specificity of molecular lesions caused by genomic alterations, we can generate characteristic alteration spectra, called 'signature' (Wang, Shixiang, et al. (2021) <DOI:10.1371/journal.pgen.1009557> & Alexandrov, Ludmil B., et al. (2020) <DOI:10.1038/s41586-020-1943-3> & Steele Christopher D., et al. (2022) <DOI:10.1038/s41586-022-04738-6>). This package helps users to extract, analyze and visualize signatures from genomic alteration records, thus providing new insight into cancer study.
Author: Shixiang Wang [aut, cre] , Ziyu Tao [aut] , Huimin Li [aut] , Tao Wu [aut] , Xue-Song Liu [aut, ctb] , Anand Mayakonda [ctb]
Maintainer: Shixiang Wang <w_shixiang@163.com>

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Package MiscMath updated to version 1.2 with previous version 1.1 dated 2025-04-13

Title: Miscellaneous Mathematical Tools
Description: Some basic math calculators for finding angles for triangles and for finding the greatest common divisor of two numbers and so on.
Author: W.J. Braun [aut, cre]
Maintainer: W.J. Braun <john.braun@ubc.ca>

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Package BayesPostEst updated to version 0.4.1 with previous version 0.4.0 dated 2025-08-18

Title: Generate Postestimation Quantities for Bayesian MCMC Estimation
Description: An implementation of functions to generate and plot postestimation quantities after estimating Bayesian regression models using Markov chain Monte Carlo (MCMC). Functionality includes the estimation of the Precision-Recall curves (see Beger, 2016 <doi:10.2139/ssrn.2765419>), the implementation of the observed values method of calculating predicted probabilities by Hanmer and Kalkan (2013) <doi:10.1111/j.1540-5907.2012.00602.x>, the implementation of the average value method of calculating predicted probabilities (see King, Tomz, and Wittenberg, 2000 <doi:10.2307/2669316>), and the generation and plotting of first differences to summarize typical effects across covariates (see Long 1997, ISBN:9780803973749; King, Tomz, and Wittenberg, 2000 <doi:10.2307/2669316>). This package can be used with MCMC output generated by any Bayesian estimation tool including 'JAGS', 'BUGS', 'MCMCpack', and 'Stan'.
Author: Johannes Karreth [aut] , Shana Scogin [aut, cre] , Rob Williams [aut] , Andreas Beger [aut] , Myunghee Lee [ctb], Neil Williams [ctb]
Maintainer: Shana Scogin <shanarscogin@gmail.com>

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Package RAS updated to version 1.1.2 with previous version 1.0.3 dated 2026-07-24

Title: Regional Association Score for Genome-Wide Association Studies
Description: Implements the Regional Association Score (RAS) method for genome-wide association studies (GWAS). For each single nucleotide polymorphism (SNP), RAS quantifies the strength of association within its surrounding genomic region, arranges these regional scores along the chromosome into a signal profile, and locates association regions on that profile with one of two detectors: the original changepoint detector, or a box-scan region detector that also delimits broad plateau-shaped regions. Genotypes can be streamed from a chunked on-disk format through compiled code so that peak memory no longer grows with chromosome size, and the regional weights can be taken from an independent external GWAS (harmonised summary statistics) instead of a within-sample split. The method is described in Jiang and Zhang (2025) <doi:10.1073/pnas.2419721122>.
Author: Jiahe Jin [aut], Yiran Jiang [aut], Heping Zhang [aut, cre]
Maintainer: Heping Zhang <heping.zhang@yale.edu>

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Package aLBI updated to version 0.2.0 with previous version 0.1.9 dated 2026-01-10

Title: Estimating Length-Based Indicators for Fish Stock Assessment
Description: Provides tools for estimating length-based indicators (LBIs) from length-frequency data to assess fish stock status and evaluate growth and recruitment overfishing in data-limited fisheries. Implements the sustainability indicators of Froese (2004) <doi:10.1111/j.1467-2979.2004.00144.x>, empirical biological reference points from Froese and Binohlan (2000) <doi:10.1111/j.1095-8649.2000.tb00870.x>, and the decision framework of Cope and Punt (2009) <doi:10.1577/C08-025.1>. Incorporates a three-tier Monte Carlo and bootstrap uncertainty propagation framework for sustainability indicators, optimum bin size calculations following Wang et al. (2020) <doi:10.1016/j.fishres.2019.105474>, multi-month length-frequency harmonization, and length-weight relationship fitting. Methodology is detailed in Ali et al. (2025) <doi:10.1016/j.fishres.2025.107467>.
Author: Ataher Ali [aut, cre] , Mohammed Shahidul Alam [aut]
Maintainer: Ataher Ali <ataher.cu.ms@gmail.com>

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Package ppmSDR updated to version 3.0.1 with previous version 2.0.0 dated 2026-06-19

Title: Penalized Principal Machine for Sufficient Dimension Reduction
Description: A unified, computation-friendly framework for penalized principal machines (P2M), a class of sparse sufficient dimension reduction (SDR) estimators for regression and binary classification. Principal machines (PM) estimate the central subspace by solving a family of convex-loss problems over several cutoffs; their penalized counterparts (P2M) add a row-group sparsity penalty so that dimension reduction and variable selection are performed simultaneously. All estimators are fitted by a single group coordinate descent (GCD) algorithm that accommodates least squares, logistic, asymmetric least squares, L2-hinge, hinge (support vector machine, SVM) and quantile losses, together with the least absolute shrinkage and selection operator (LASSO), the smoothly clipped absolute deviation (SCAD) penalty and the minimax concave penalty (MCP). Methods are described in Li, Artemiou and Li (2011) <doi:10.1214/11-AOS932>, Shin and Artemiou (2017) <doi:10.1016/j.csda.2016.12.003>, Artemiou, [...truncated...]
Author: Jungmin Shin [aut, cre] , Seung Jun Shin [aut]
Maintainer: Jungmin Shin <c16267@gmail.com>

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Package mdbr updated to version 0.4.0 with previous version 0.3.2 dated 2026-07-18

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>

Diff between mdbr versions 0.3.2 dated 2026-07-18 and 0.4.0 dated 2026-09-26

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Package MatchIt updated to version 4.8.1 with previous version 4.8.0 dated 2026-09-16

Title: Nonparametric Preprocessing for Parametric Causal Inference
Description: Selects matched samples of the original treated and control groups with similar covariate distributions -- can be used to match exactly on covariates, to match on propensity scores, or perform a variety of other matching procedures. The package also implements a series of recommendations offered in Ho, Imai, King, and Stuart (2007) <DOI:10.1093/pan/mpl013>. (The 'gurobi' package, which is not on CRAN, is optional and comes with an installation of the Gurobi Optimizer, available at <https://www.gurobi.com>.)
Author: Daniel Ho [aut] , Kosuke Imai [aut] , Gary King [aut] , Elizabeth Stuart [aut] , Alex Whitworth [ctb], Noah Greifer [cre, aut]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

Diff between MatchIt versions 4.8.0 dated 2026-09-16 and 4.8.1 dated 2026-09-26

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Permanent link

Package glmbayesCore updated to version 0.5.4 with previous version 0.5.3 dated 2026-08-05

Title: Core C++ Sampling Engine for 'glmbayes'
Description: Core C++ engine for 'glmbayes': envelope-based iid linear and generalized linear model samplers, prior-family routing, and optional 'OpenCL' acceleration. Sampling for supported non-conjugate models uses accept-reject methods based on likelihood subgradients as in Nygren and Nygren (2006) <doi:10.1198/016214506000000357>. Intended as a developer backend for the 'glmbayes' formula interface; end users should use 'glmbayes' for modelling with interfaces analogous to 'lm' and 'glm'. Mixed-model engines are planned for a future release.
Author: Kjell Nygren [aut, cre], The R Core Team [ctb, cph] , The R Foundation [cph] , Ross Ihaka [ctb, cph] , Robert Gentleman [ctb, cph] , Simon Davies [ctb] , Morten Welinder [ctb, cph] , Martin Maechler [ctb] , The Khronos Group Inc [cph] )
Maintainer: Kjell Nygren <kjell.a.nygren@gmail.com>

Diff between glmbayesCore versions 0.5.3 dated 2026-08-05 and 0.5.4 dated 2026-09-26

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Package ProbeDeveloper updated to version 1.1.3 with previous version 1.1.2 dated 2026-06-13

Title: Develop Hybridization Probes
Description: Hybridization probes for target sequences can be made based on melting temperature value calculated by R package 'TmCalculator' <https://CRAN.R-project.org/package=TmCalculator> and methods extended from Beliveau, B. J.,(2018) <doi:10.1073/pnas.1714530115>, and those hybridization probes can be used to capture specific target regions in fluorescence in situ hybridization and next generation sequence experiments.
Author: Junhui Li [cre, aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

Diff between ProbeDeveloper versions 1.1.2 dated 2026-06-13 and 1.1.3 dated 2026-09-26

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Package fsbrain updated to version 1.0.0 with previous version 0.8.0 dated 2026-09-14

Title: Managing and Visualizing Brain Surface Data
Description: Provides high-level access to neuroimaging data from standard software packages like 'FreeSurfer' <https://freesurfer.net/> on the level of subjects and groups. Load morphometry data, surfaces and brain parcellations based on atlases. Mask data using labels, load data for specific atlas regions only, and visualize data and statistical results directly in 'R'.
Author: Tim Schaefer [aut, cre] , The General Hospital Corporation [cph] , Van Essen Lab [cph] , Alexander Schaefer [cph] , Ru Kong [cph] , Lingzhong Fan [cph] , Edmund T. Rolls [cph] , Matthew F. Glasser [cph] , Kathryn Mills [cph]
Maintainer: Tim Schaefer <ts+code@rcmd.org>

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More information about fsbrain at CRAN
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Package trtswitch updated to version 0.2.8 with previous version 0.2.7 dated 2026-06-25

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>

Diff between trtswitch versions 0.2.7 dated 2026-06-25 and 0.2.8 dated 2026-09-26

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 71 files changed, 2027 insertions(+), 231 deletions(-)

More information about trtswitch at CRAN
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Package prior3D updated to version 0.1.6 with previous version 0.1.5 dated 2025-01-25

Title: 3D Prioritization Algorithm
Description: Three-dimensional systematic conservation planning, conducting nested prioritization analyses across multiple depth levels and ensuring efficient resource allocation throughout the water column. It provides a structured workflow designed to address biodiversity conservation and management challenges in the 3 dimensions, while facilitating users’ choices and parameterization (Doxa et al. 2025 <doi:10.1016/j.ecolmodel.2024.110919>).
Author: Aggeliki Doxa [aut] , Christos Adam [aut, cre] , Nikolaos Nagkoulis [aut] , Antonios D. Mazaris [aut] , Stelios Katsanevakis [aut]
Maintainer: Christos Adam <econp266@econ.soc.uoc.gr>

Diff between prior3D versions 0.1.5 dated 2025-01-25 and 0.1.6 dated 2026-09-26

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 36 files changed, 3702 insertions(+), 3665 deletions(-)

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Package VisualizeSimon2Stage updated to version 0.2.3 with previous version 0.2.2 dated 2025-04-27

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

Diff between VisualizeSimon2Stage versions 0.2.2 dated 2025-04-27 and 0.2.3 dated 2026-09-26

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 18 files changed, 588 insertions(+), 347 deletions(-)

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New package memtoc with initial version 0.1.1
Package: memtoc
Title: 'Tictoc'-Style Memory Usage Tracking
Version: 0.1.1
Description: Provides simple start/stop memory tracking functions tic_mem() and toc_mem() that can be nested, inspired by the 'tictoc' package. Track RAM usage during code execution with support for logging, custom messages, nested tracking blocks, and parallel worker monitoring. Features continuous background polling to estimate peak memory usage across main process and workers. Integrates with the 'future' package ecosystem for automatic worker detection. Designed for monitoring memory consumption in parallel workflows.
License: MIT + file LICENSE
URL: https://github.com/jcoa05/memtoc
BugReports: https://github.com/jcoa05/memtoc/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ps (>= 1.7.0), cli (>= 3.0.0), callr (>= 3.7.0)
Suggests: testthat (>= 3.2.0), withr, future, parallelly, knitr, rmarkdown
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-15 19:55:54 UTC; jocampo
Author: Juan Ocampo [aut, cre]
Maintainer: Juan Ocampo <jocampo1997@hotmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 17:10:02 UTC

More information about memtoc at CRAN
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New package xplus with initial version 1.0.2
Package: xplus
Title: Positive and Unlabeled Learning from Unbalanced Cases and Sparse Structures
Version: 1.0.2
Description: Provides PLUS-derived extensions for positive and unlabeled (PU) learning from unbalanced cases and sparse structures, based on Zhou et al. (2022) <doi:10.1371/journal.pcbi.1009956>. Iteratively relabels unlabeled observations via penalised logistic regression and pseudo-label updates, then refits a final sparse model. Includes weighted bootstrap sampling, convergence diagnostics, prediction, coefficient extraction, and assessment utilities.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
Imports: glmnet (>= 4.1-8), Matrix, methods, stats, tibble, utils
Suggests: covr, knitr, rmarkdown, survival, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/alrobles/xplus, https://alrobles.github.io/xplus/
BugReports: https://github.com/alrobles/xplus/issues
NeedsCompilation: no
Packaged: 2026-09-15 13:35:09 UTC; alrobles
Author: Angel Robles [aut, cre]
Maintainer: Angel Robles <a.l.robles.fernandez@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:30:02 UTC

More information about xplus at CRAN
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New package Spec2Annot with initial version 1.3.4
Package: Spec2Annot
Title: Annotation of Mass Spectra
Version: 1.3.4
Description: Provides a comprehensive suite of functions to efficiently annotate mass spectra data. Motivated by the need for rapid and accurate chemical identification in high-resolution mass spectrometry, it integrates built-in chemical databases and high-performance C++ algorithms. Users can perform mass-to-charge (m/Z) and retention time searches, determine elemental compositions of molecules using heuristic rules, including specific isotopes, and annotate MS2 spectra with structural metrics using configurable chemistry rules.
License: CeCILL
URL: https://github.com/odisce/Spec2Annot
BugReports: https://github.com/odisce/Spec2Annot/issues
Depends: R (>= 4.0.0)
Encoding: UTF-8
Imports: data.table, magrittr, Rcpp, stringr
Suggests: testthat (>= 3.0.0)
LazyData: true
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2026-09-15 15:03:47 UTC; SD265344
Author: Sylvain Dechaumet [aut, cre], Etienne Thevenot [ctb], Eric Venot [rev], Annelaure Damont [ctb], Anais Legrand [ctb]
Maintainer: Sylvain Dechaumet <sylvain.dechaumet@cea.fr>
Repository: CRAN
Date/Publication: 2026-09-26 16:40:25 UTC

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Package SerolyzeR updated to version 1.5.0 with previous version 1.4.1 dated 2026-02-20

Title: Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data
Description: Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project 'PvSTATEM', which is an international project aiming for malaria elimination.
Author: Jakub Grzywaczewski [aut, cre], Tymoteusz Kwiecinski [aut] , Mateusz Nizwantowski [aut], Przemyslaw Biecek [ths] , Nuno Sepulveda [ths]
Maintainer: Jakub Grzywaczewski <jakubzgrzywaczewski@gmail.com>

Diff between SerolyzeR versions 1.4.1 dated 2026-02-20 and 1.5.0 dated 2026-09-26

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 23 files changed, 652 insertions(+), 582 deletions(-)

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New package sencensus with initial version 0.1.0
Package: sencensus
Title: Access to Senegal Demographic and Census Datasets
Version: 0.1.0
Date: 2026-09-15
Description: Download, cache, and analyze census datasets and demographic statistics from Senegal. Datasets are sourced from public census releases provided by the Agence Nationale de la Statistique et de la Demographie (ANSD) <https://www.ansd.sn> and hosted on GitHub releases <https://github.com/Amady01/sencus>. Also provides tools to search through variable dictionaries and load tabular demographic indicators.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: jsonlite, httr, readr, readxl
URL: https://github.com/Amady01/sencusR
BugReports: https://github.com/Amady01/sencusR/issues
NeedsCompilation: no
Packaged: 2026-09-15 11:20:02 UTC; amsal
Author: Amadou SALL [aut, cre]
Maintainer: Amadou SALL <amadymail01@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:20:02 UTC

More information about sencensus at CRAN
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New package semrulesid with initial version 0.4.1
Package: semrulesid
Title: Evaluate Structural Equation Model Identification Rules
Version: 0.4.1
Description: Evaluates selected necessary and sufficient identification conditions in structural equation models (SEMs), including latent-variable scaling constraints. Output reports rule status and applicability and provides diagnostic messages to support model specification and respecification. The package is intended as a diagnostic aid and does not implement a universal identification algorithm. For more details, see Bollen (2026, ISBN:978-1009312820).
License: GPL (>= 3)
Encoding: UTF-8
Imports: lavaan
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/zacharyvig/semrulesid
BugReports: https://github.com/zacharyvig/semrulesid/issues
NeedsCompilation: no
Packaged: 2026-09-15 13:13:05 UTC; ZACHMAC
Author: Zach Vig [aut, cre, cph]
Maintainer: Zach Vig <zachvig@rocketmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:20:07 UTC

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New package Rclade with initial version 1.1.5
Package: Rclade
Title: Automated Deep-Time Phylogenetic Tree Collapsing and Visualization
Version: 1.1.5
Author: Zeng Zichao [aut, cre]
Maintainer: Zeng Zichao <zengzichao@sjtu.edu.cn>
Description: Provides a single-function pipeline for automated collapsing and visualization of large phylogenetic trees with geological timescales. Automatically parses taxonomic labels from multiple formats (GTDB, Silva, NCBI, embedded, custom), identifies Most Recent Common Ancestors (MRCAs), assigns color-blind-safe palettes, executes batch collapsing with automatic nesting-aware ordering, integrates 'deeptime' geologic time scales with adaptive time breaks and unit switching, and manages smart legend layout. Supports special ancestral node identifiers (LUCA, LACA, LBCA) for highlighting key nodes in the tree of life. Provides external taxonomy file support for trees with incomplete or missing taxonomic labels. Features real-time logging with timestamps, step tracking, and multiple log levels. Includes comprehensive input validation for tree and sequence file formats. Reduces a 60-line manual workflow to a single function call while preserving full compatibility with the 'ggtree'/'deeptime' ecos [...truncated...]
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: ape (>= 5.0), ggtree (>= 4.0.0), deeptime (>= 1.0), ggplot2 (>= 3.5.0), rlang, stringr (>= 1.5), tidytree (>= 0.4), viridisLite
Suggests: treeio (>= 1.0), phangorn (>= 2.0), RColorBrewer, cowplot (>= 1.1), patchwork (>= 1.1), shiny (>= 1.7), optparse (>= 1.7), yaml, vdiffr (>= 1.0), testthat (>= 3.0), knitr, rmarkdown, covr, filelock, withr
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/zengzichao/Rclade, https://zengzichao.github.io/Rclade/
BugReports: https://github.com/zengzichao/Rclade/issues
NeedsCompilation: no
Packaged: 2026-09-15 16:09:30 UTC; zengzichao
Repository: CRAN
Date/Publication: 2026-09-26 16:40:32 UTC

More information about Rclade at CRAN
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Package priorCON updated to version 0.1.8 with previous version 0.1.7 dated 2025-11-03

Title: Graph Community Detection Methods into Systematic Conservation Planning
Description: An innovative tool-set that incorporates graph community detection methods into systematic conservation planning. It is designed to enhance spatial prioritization by focusing on the protection of areas with high ecological connectivity. Unlike traditional approaches that prioritize individual planning units, 'priorCON' focuses on clusters of features that exhibit strong ecological linkages. The 'priorCON' package is built upon the 'prioritizr' package <doi:10.32614/CRAN.package.prioritizr>, using commercial and open-source exact algorithm solvers that ensure optimal solutions to prioritization problems.
Author: Christos Adam [aut, cre] , Aggeliki Doxa [aut] , Nikolaos Nagkoulis [aut] , Maria Papazekou [aut] , Antonios D. Mazaris [aut] , Stelios Katsanevakis [aut]
Maintainer: Christos Adam <econp266@econ.soc.uoc.gr>

Diff between priorCON versions 0.1.7 dated 2025-11-03 and 0.1.8 dated 2026-09-26

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 16 files changed, 72 insertions(+), 73 deletions(-)

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New package moire with initial version 3.7.0
Package: moire
Title: Multiplicity of Infection and Allele Frequency Recovery from Noisy Polyallelic Genetics Data
Version: 3.7.0
Description: A Markov Chain Monte Carlo (MCMC) based approach to Bayesian estimation of individual level multiplicity of infection, within host relatedness, and population allele frequencies from polyallelic genetic data. Implements the model described in Murphy and Greenhouse (2024) <doi:10.1093/bioinformatics/btae619>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
SystemRequirements: C++17, GNU make
LinkingTo: Rcpp, RcppProgress, RcppParallel, BH
Imports: Rcpp, RcppProgress, RcppParallel, dplyr, tidyr, stats, parallel, purrr, rlang, ggplot2
URL: https://github.com/EPPIcenter/moire, https://eppicenter.github.io/moire/, https://eppicenter.ucsf.edu/resources
BugReports: https://github.com/EPPIcenter/moire/issues
Suggests: knitr, rmarkdown, forcats, testthat (>= 3.0.0), parallelly
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: yes
Packaged: 2026-09-15 17:53:11 UTC; mmurphy
Author: Maxwell Murphy [aut, cre] , Bryan Greenhouse [aut, ths]
Maintainer: Maxwell Murphy <mm@maxmurphy.dev>
Repository: CRAN
Date/Publication: 2026-09-26 16:50:02 UTC

More information about moire at CRAN
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New package mappingAS with initial version 1.13.2
Package: mappingAS
Title: Spatial Metrics and Habitat Conversion for Extinction Risk Assessment
Version: 1.13.2
Author: Antonio Lucas Barreira [aut, cre, cph]
Maintainer: Antonio Lucas Barreira <barreira_rodrigues@hotmail.com>
Description: A spatial analytical framework for preliminary species extinction-risk screening following the IUCN Red List Criterion B guidelines. From occurrence points it computes the Extent of Occurrence (EOO) and Area of Occupancy (AOO) on a data-centred equal-area projection, assigns provisional Criterion B categories, and integrates 'MapBiomas' land-use/land-cover data to quantify the proportion of anthropogenic conversion versus remaining natural habitat within each range metric, with per-class breakdowns and land-cover time series. Several 'MapBiomas' initiatives are supported through one standardised legend - 'MapBiomas' Brazil, the Pan-Amazon / Amazonia collection (RAISG), Colombia, Argentina, Bolivia, Chile, Ecuador, Peru, Venezuela, Paraguay and Uruguay - so a species anywhere these products cover can be screened as readily as a Brazilian one. For ranges outside 'MapBiomas' coverage it can fall back to the global 'Esri' / 'Impact Observatory' 10 m annual land cover derived from 'Sentinel [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: sf (>= 1.0.0), terra (>= 1.7.0), shiny, bslib, leaflet, units, lwgeom, readxl, rlang, grid, tools, utils, stats, graphics, grDevices, DT, htmltools, htmlwidgets, ggplot2, plotly, officer
Suggests: rgee, reticulate, writexl, zip, curl, ggnewscale, ggtrendline, ragg, shinyWidgets, testthat (>= 3.0.0), knitr, rmarkdown, spelling
VignetteBuilder: knitr
URL: https://github.com/lucasbarreirageo/mappingAS
BugReports: https://github.com/lucasbarreirageo/mappingAS/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-15 17:14:56 UTC; codespace
Repository: CRAN
Date/Publication: 2026-09-26 16:50:08 UTC

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New package heteroTests with initial version 0.11.2
Package: heteroTests
Title: Heteroscedasticity Diagnostics for Linear Models
Version: 0.11.2
Description: Provides a unified set of heteroscedasticity diagnostics for linear-model workflows. It implements classical auxiliary-regression tests, including those of White (1980) <doi:10.2307/1912934>, Breusch and Pagan (1979) <doi:10.2307/1911963>, Koenker (1981) <doi:10.1016/0304-4076(81)90062-2>, Goldfeld and Quandt (1965) <doi:10.1080/01621459.1965.10480811> and Harvey (1976) <doi:10.2307/1913974>; the score test of Cook and Weisberg (1983) <doi:10.1093/biomet/70.1.1>; the ARCH test of Engle (1982) <doi:10.2307/1912773>; and group-wise tests of equal variance, including those of Bartlett (1937) <doi:10.1098/rspa.1937.0109>, Brown and Forsythe (1974) <doi:10.1080/01621459.1974.10482955> and Hartley (1950) <doi:10.2307/2332383>. Resampling and scalable variants, simulation utilities, diagnostic visualisation and remediation helpers share a consistent interface designed for reproducible statistical workflows and integration with common [...truncated...]
License: Apache License (>= 2.0)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: MASS, stats, ggplot2, curl, generics, scales, R6, parallel, SuppDists
Suggests: quickcheck, testthat (>= 3.0.0), styler, lintr, digest, covr, knitr, rmarkdown, gridExtra, shiny, DT, plotly, htmlwidgets, readxl, Matrix, bench, lmtest, plm, withr, car, vartest, mgcv, quantreg, sandwich, spdep, broom, workflows, parsnip, recipes, survey, data.table, dtplyr, dplyr
VignetteBuilder: knitr
URL: https://github.com/DiogoRibeiro7/heteroTests, https://diogoribeiro7.github.io/heteroTests/
BugReports: https://github.com/DiogoRibeiro7/heteroTests/issues
NeedsCompilation: no
Packaged: 2026-09-15 16:55:05 UTC; runner
Author: Diogo Ribeiro [aut, cre]
Maintainer: Diogo Ribeiro <dfr@esmad.ipp.pt>
Repository: CRAN
Date/Publication: 2026-09-26 16:50:16 UTC

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New package gpuinfo with initial version 0.1.0
Package: gpuinfo
Title: Lightweight Hardware and GPU Compute Detection
Version: 0.1.0
Description: Detects central processing unit and graphics processing unit hardware and reports the apparent availability of 'CUDA', 'Metal', 'ROCm', and 'OpenCL' compute backends. Detection uses operating-system information, documented platform interfaces, and optional command-line utilities, without requiring a GPU framework, 'Python', or a vendor software development kit. Backend interpretation follows the official 'CUDA' <https://docs.nvidia.com/cuda/cuda-driver-api/>, 'Metal' <https://developer.apple.com/documentation/metal>, 'ROCm' <https://rocm.docs.amd.com/>, and 'OpenCL' <https://registry.khronos.org/OpenCL/> documentation. Missing hardware, drivers, libraries, and utilities are handled safely.
License: MIT + file LICENSE
URL: https://github.com/tkcaccia/gpuinfo
BugReports: https://github.com/tkcaccia/gpuinfo/issues
Encoding: UTF-8
NeedsCompilation: yes
Depends: R (>= 3.6.0)
Suggests: jsonlite, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Packaged: 2026-09-15 14:45:12 UTC; stefano
Author: Stefano Cacciatore [aut, cre]
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:40:08 UTC

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New package ggCheysson with initial version 1.0.1
Package: ggCheysson
Title: Graphic Styles of Emile Cheysson for 'ggplot2'
Version: 1.0.1
Date: 2026-09-14
Description: Implements for 'ggplot2' the stylistic elements (fonts, hatched patterns, color palettes) used by 'Emile Cheysson' in the 'Albums de Statistique Graphique', sometimes called the pinnacle of the Golden Age of Statistical Graphics.
Imports: ggplot2
Suggests: ggpattern, ggthemes, gridpattern, systemfonts, showtext, sysfonts, ragg, knitr, rmarkdown, Guerry, sf, tidyr, dplyr
License: GPL (>= 3)
Language: en-US
Encoding: UTF-8
URL: https://github.com/friendly/ggCheysson, https://friendly.github.io/ggCheysson/
BugReports: https://github.com/friendly/ggCheysson/issues
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-15 15:39:21 UTC; friendly
Author: Michael Friendly [aut, cre] , RJ Andrews [ctb], Tom Shanley [ctb], Kenneth Fields [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>
Repository: CRAN
Date/Publication: 2026-09-26 16:40:13 UTC

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New package gcf with initial version 0.1.0
Package: gcf
Title: Generalized Covariate Field
Version: 0.1.0
Description: Generates generalized covariate field (GCF) variables from spatial covariates observed at projected coordinates, and selects a stable subset of them for geospatial prediction. For each input covariate the method builds spatial-pattern features (local indicator of spatial association, local Geary's c, log local variance, rank quantile entropy, geocomplexity, log scale variance, local variogram exponent, and signed z-score and median absolute deviation outlier strengths over a series of buffer radii) and neighbourhood-distribution features (buffer-wise quantiles of the covariate values surrounding each location), reduces the buffer and quantile sweeps to a compact set of interpretable functional summaries, and selects variables by random forest importance combined with spatial-block stability resampling and group voting. The GCF method is positioned as prediction-oriented feature construction: its output feeds any downstream regression learner. Methods are described in Song (2026) <do [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: geocomplexity, ranger, sf, spdep, stats, utils
Suggests: knitr, randomForest, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-09-15 07:02:05 UTC; 268222h
Author: Yongze Song [aut, cre, cph]
Maintainer: Yongze Song <yongze.song@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:10:02 UTC

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New package fastconley with initial version 0.11.1
Package: fastconley
Title: Fast Conley Standard Errors for 'lfe' and 'fixest' Models
Version: 0.11.1
Maintainer: Richard Bluhm <richard.bluhm@gmail.com>
Description: Conley (1999) <doi:10.1016/S0304-4076(98)00084-0> spatial heteroscedasticity and autocorrelation consistent (HAC) standard errors for fixed effects panel and cross-sectional models estimated with felm() from the 'lfe' package (ordinary least squares and instrumental variables) or with feols(), feglm(), and fepois() from the 'fixest' package. Instrumental-variable support is limited to ordinary two-stage least squares. Generalized linear model fits use the M-estimation sandwich built from the stored scores and inverse Hessian. The spatial path uses score accumulation, a three-dimensional cell-grid neighbour search, and compressed sparse row neighbour lists instead of dense distance matrices, yielding large speedups over the original 'conley' package <https://github.com/rbluhm/conley> on big cross-sections and high-dimensional regressions.
License: MIT + file LICENSE
URL: https://github.com/rbluhm/fastconley, https://rbluhm.github.io/fastconley/
BugReports: https://github.com/rbluhm/fastconley/issues
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: data.table, Rcpp, stats
Suggests: fixest, knitr, lfe, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-09-15 17:35:20 UTC; richard
Author: Richard Bluhm [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-09-26 17:00:02 UTC

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New package eiballots with initial version 0.1.0-1
Package: eiballots
Title: Ballot-Level Microdata and Summaries for Ecological Inference (Florida 2000)
Version: 0.1.0-1
Description: Provides access to ballot-level electoral microdata from the Florida 2000 general election and tools for computing summaries suitable for ecological inference. Includes functions to load data by county or race (election), compute marginal distributions at the precinct level, and build joint contingency arrays across multiple races for use with ecological inference packages. Data files are stored in a remote repository and downloaded on demand; local copies are supported via the 'data_dir' option. Acknowledgements: We thank Jaime Ventura (ANES, University of Michigan) and Dan Keating (The Washington Post) for providing the raw data that serve as the starting point for the construction of this package. We also acknowledge funding from the Conselleria de Educación, Cultura y Universidades (grant CIACIO/2023/031).
URL: https://doi.org/10.17605/OSF.IO/NP73B
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: stats
Suggests: testthat (>= 3.0.0), usethis
NeedsCompilation: no
Packaged: 2026-09-15 18:36:55 UTC; pavia
Author: Cristina Aybar [aut] , Jose M. Pavia [aut, cre]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>
Repository: CRAN
Date/Publication: 2026-09-26 17:00:08 UTC

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New package drisdiagnostics with initial version 1.0.1
Package: drisdiagnostics
Title: Diagnostic Systems for Plant Nutrient Analysis (DRIS, MDRIS, PASS)
Version: 1.0.1
Description: Provides implementations of the Diagnosis and Recommendation Integrated System (DRIS), the Modified DRIS (MDRIS), and the Plant Analysis with Standardized Scores (PASS) approaches for nutrient diagnosis in crops. These methods allow quantitative evaluation of nutrient imbalances using ratio-based indices and standardized scores, supporting improved fertilizer use efficiency and crop management decisions. The DRIS method is described in Walworth, J.L. and Sumner, M.E. (1987) <doi:10.1007/978-1-4612-4682-4_4>. The MDRIS approach is detailed in Beverly, R.B. (1987) <doi:10.1080/01904168709363672>. The PASS method combining DRIS and sufficiency ranges is presented in Baldock, J.O. and Schulte, E.E. (1996) <doi:10.2134/agronj1996.00021962008800030015x>.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, stats, rlang
Suggests: readxl, testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-15 18:54:14 UTC; bejoy
Author: Blesson B. Varghese [aut, cre], Mubashir Sadiq V [aut], Deepthi C [aut], Sowmiya Saravanan [aut], Aparna Mohan V [aut]
Maintainer: Blesson B. Varghese <blessonvarghese1234@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 17:00:16 UTC

More information about drisdiagnostics at CRAN
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New package diy.sem.plot with initial version 1.0.0
Package: diy.sem.plot
Title: Manually Plot Path Diagrams for Structural Equation Models
Version: 1.0.0
Description: Manually plot fully customisable path diagrams for structural equation models (SEM). Map out node positions using simple coordinates and specify where on the perimeter of each node paths begin and end. Extensive fine-tuning options allow the creation of a path diagram exactly as envisioned, entirely within R.
Encoding: UTF-8
Imports: ggplot2, ggtext, ggforce, lavaan, patchwork
Suggests: knitr, rmarkdown, testthat
URL: https://github.com/snagy86/diy.sem.plot
BugReports: https://github.com/snagy86/diy.sem.plot/issues
VignetteBuilder: knitr
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2026-09-15 10:31:57 UTC; snagy
Author: Sebastian Nagy [aut, cre, cph]
Maintainer: Sebastian Nagy <snagy8610@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:20:13 UTC

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New package cwad with initial version 0.2.0
Package: cwad
Title: Connectivity-Weighted Allocation and Comparison of Field-Plot Designs
Version: 0.2.0
Date: 2026-09-15
Description: A reproducible mixed-model toolkit for plant-breeding trial design. It evaluates any replication allocation under a known genetic relationship (kinship) matrix using one common linear-mixed-model engine on genotype means. Crucially, allocation and analysis model are crossed rather than confounded: every allocation can be scored both with and without kinship, so the precision gain attributable to a design can be separated from the gain attributable to the kinship-based analysis adopted alongside it. It computes A-optimal, connectivity-aware allocations via rank-1 Sherman-Morrison updates, and provides Monte-Carlo stress tests for outlier shrinkage and for an incorrectly specified kinship matrix, each with a matched control arm.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/bkpraveenars-del/cwad
BugReports: https://github.com/bkpraveenars-del/cwad/issues
NeedsCompilation: no
Packaged: 2026-09-15 07:43:57 UTC; root
Author: Praveen Kumar [aut, cre]
Maintainer: Praveen Kumar <bkpraveenars@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:10:07 UTC

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New package bslibdash with initial version 0.7.5
Package: bslibdash
Title: 'Bootstrap' 5 Dashboard Framework for 'shiny' Apps
Version: 0.7.5
Description: Provides a dashboard layer for 'shiny' applications built on 'bslib' and 'Bootstrap' 5. Includes a dashboard page shell, sidebar navigation, cards, value boxes, header drop-down menus and feedback components that inherit the active 'bslib' theme and follow 'Bootstrap' design patterns. Function names mirror those of the 'shinydashboard' package wherever the underlying concepts are shared, allowing existing applications to migrate with minimal changes.
License: MIT + file LICENSE
URL: https://github.com/Novartis/bslibdash, https://opensource.nibr.com/bslibdash/
BugReports: https://github.com/Novartis/bslibdash/issues
Depends: R (>= 4.1.0)
Imports: utils, shiny (>= 1.0.5), shinyjs, htmltools, bslib (>= 0.6.0), bsicons, rlang, glue, sass
Suggests: testthat (>= 3.0.0), withr, knitr, lintr, rmarkdown, covr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-09-15 14:32:17 UTC; KOUREAL2
Author: Alexandros Kouretsis [aut, cre], Ardalan Mirshani [aut], Dominik Rafacz [aut], Novartis Open Source Initiative [cph]
Maintainer: Alexandros Kouretsis <alexandros@appsilon.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:40:19 UTC

More information about bslibdash at CRAN
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Package biofetchR updated to version 0.1.2 with previous version 0.1.1 dated 2026-08-19

Title: Download, Clean, Classify, Enrich and Export Biodiversity Occurrence Data
Description: Downloads, imports, cleans, classifies, enriches and exports biodiversity occurrence data, with an emphasis on reproducible Global Biodiversity Information Facility (GBIF) <https://api.gbif.org/v1/> workflows. The package supports batch occurrence downloads, taxonomic standardisation, coordinate cleaning, optional spatial thinning, spatial attribution and structured export of processed occurrence records and audit outputs. Terrestrial and freshwater workflows can join records to administrative units, protected areas, freshwater ecoregions, basins, rivers, lakes, reservoirs, wetlands and other contextual spatial overlays. Marine workflows support offshore and coastal records through joins to Marine Regions <https://www.marineregions.org/> style layers, Exclusive Economic Zone (EEZ) units, marine ecoregions, Large Marine Ecosystems and user-supplied marine overlays. The package also supports native-range and invasive-status evidence workflows using the World Register of Marin [...truncated...]
Author: Darren Stuart [aut, cre]
Maintainer: Darren Stuart <dstuart04@qub.ac.uk>

Diff between biofetchR versions 0.1.1 dated 2026-08-19 and 0.1.2 dated 2026-09-26

 DESCRIPTION                                         |   10 
 MD5                                                 |  172 
 NAMESPACE                                           |   26 
 NEWS.md                                             |only
 R/marine_pipeline.R                                 | 4264 ++++++-------
 R/terrestrial_freshwater_pipeline.R                 | 6231 ++++++++++----------
 R/utils_core_helpers.R                              |    2 
 R/utils_download_helpers.R                          |   49 
 R/utils_encoding.R                                  |    4 
 R/utils_native_range_sinas.R                        | 2003 +++---
 R/utils_native_range_web_sources.R                  | 2417 +++----
 R/utils_pipeline_origin_gates.R                     |    4 
 R/utils_raster_context_layers.R                     |  790 +-
 R/utils_sinas_download.R                            |  594 +
 build/vignette.rds                                  |binary
 inst/doc/biofetchR-auditing-and-scaling.html        |   65 
 inst/doc/biofetchR-batch-pipelines.html             |    2 
 inst/doc/biofetchR-origin-evidence.html             |    2 
 man/append_summary_row.Rd                           |    6 
 man/bf_attach_griis_status.Rd                       |   16 
 man/bf_attach_native_status.Rd                      |   14 
 man/bf_available_marine_overlays.Rd                 |    6 
 man/bf_available_native_web_sources.Rd              |   21 
 man/bf_download_griis.Rd                            |   16 
 man/bf_download_sinas_resources.Rd                  |  106 
 man/bf_enrich_raster_context.Rd                     |    4 
 man/bf_enrich_raster_context_from_sources.Rd        |    4 
 man/bf_fetch_native_ranges_sinas.Rd                 |   51 
 man/bf_fetch_native_ranges_web.Rd                   |   65 
 man/bf_filter_griis_invasive.Rd                     |   16 
 man/bf_filter_native.Rd                             |   14 
 man/bf_filter_non_native.Rd                         |   14 
 man/bf_find_griis_table.Rd                          |   16 
 man/bf_griis_lookup.Rd                              |   16 
 man/bf_load_basins.Rd                               |   10 
 man/bf_load_biosphere_reserve.Rd                    |    6 
 man/bf_load_feow.Rd                                 |   10 
 man/bf_load_gdw_barriers.Rd                         |    6 
 man/bf_load_gdw_reservoirs.Rd                       |    6 
 man/bf_load_global_mining.Rd                        |    6 
 man/bf_load_gloric.Rd                               |    6 
 man/bf_load_hydrowaste.Rd                           |    6 
 man/bf_load_lakes.Rd                                |   10 
 man/bf_load_marine_regions_overlay.Rd               |    6 
 man/bf_load_ne_admin1.Rd                            |    6 
 man/bf_load_ne_urban.Rd                             |    6 
 man/bf_load_ne_urban_areas.Rd                       |   10 
 man/bf_load_ramsar.Rd                               |    4 
 man/bf_load_resolve2017.Rd                          |    6 
 man/bf_load_resolve_ecoregions2017.Rd               |   10 
 man/bf_load_rivers.Rd                               |   10 
 man/bf_load_teow.Rd                                 |   10 
 man/bf_load_wdpa.Rd                                 |    4 
 man/bf_marine_overlay_canonical.Rd                  |    6 
 man/bf_name_rivers_osm.Rd                           |   10 
 man/bf_native_range_lookup.Rd                       |   14 
 man/bf_native_status_summary.Rd                     |   14 
 man/bf_read_griis.Rd                                |   16 
 man/bf_reconcile_griis_native_status.Rd             |   14 
 man/bf_sinas_default_urls.Rd                        |   31 
 man/bf_standardise_griis.Rd                         |   16 
 man/bf_standardise_native_ranges.Rd                 |   14 
 man/bf_teow_cache_info.Rd                           |   10 
 man/bf_teow_clear_cache.Rd                          |   10 
 man/bf_unpack_griis.Rd                              |   16 
 man/bf_web_native_gbif.Rd                           |   44 
 man/bf_web_native_worms.Rd                          |   43 
 man/bf_write_native_web_outputs.Rd                  |   57 
 man/biofetchR-package.Rd                            |    5 
 man/check_gbif_presence.Rd                          |    6 
 man/download_gbif_batch.Rd                          |    6 
 man/download_gbif_batch_gadm.Rd                     |    8 
 man/eez_join.Rd                                     |    4 
 man/filter_by_status.Rd                             |    4 
 man/gadm_join.Rd                                    |    6 
 man/get_taxon_key.Rd                                |    6 
 man/initialize_summary.Rd                           |    4 
 man/list_status_presets.Rd                          |    4 
 man/load_all_gadm.Rd                                |    6 
 man/load_gadm.Rd                                    |    6 
 man/overlay_join.Rd                                 |    4 
 man/process_gbif_eez_pipeline.Rd                    |    4 
 man/process_gbif_marine_pipeline.Rd                 |    8 
 man/process_gbif_terrestrial_freshwater_pipeline.Rd |    4 
 man/wait_and_import_gbif.Rd                         |    6 
 man/wait_and_import_gbif_safe.Rd                    |    6 
 tests/testthat/test-curl-path.R                     |only
 tests/testthat/test-sinas-3-2.R                     |only
 tests/testthat/test-strict-overlay-loading.R        |only
 89 files changed, 8890 insertions(+), 8680 deletions(-)

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New package bgfanalyzer with initial version 1.1.0
Package: bgfanalyzer
Title: Analyze Microbial Biogas Fermentation Data
Version: 1.1.0
Description: Provides a new S3 class object and relevant methods to analyze biogas fermentation data. It includes three workflows. One is specialized to a commercially available lab-scale fermentation system (see e.g. Nwaigwe (2018) <doi:10.1115/ES2018-7553>). The second provides more flexibility and allows to import data from plain text files. The last workflow offers the most flexibility as it doesn't expect external input files but relays on interactive user input. Although the focus is set on biogas fermentations, concepts and workflows may be also applicable to other fermentations even if not a gaseous product is measured. Furthermore, it provides functions that bridge to established plot engines (e.g. 'ggplot2' or 'plotly') for data visualisation. 'bgfanalyzer' catches up an idea of Hafner et al. (2018) <doi:10.1016/j.softx.2018.06.005> of using R to standardize research within the biogas field. For more details on standardization efforts within the biogas research field see Holl [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: stats, utils, rlang, zoo, dplyr, graphics, ggplot2, plotly
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-15 16:47:28 UTC; blacki
Author: Maximilian Strick [aut, cre, cph]
Maintainer: Maximilian Strick <maximilianb.strick@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 16:50:25 UTC

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New package acousticTS with initial version 2.0.6
Package: acousticTS
Title: Physics-Based Models for Acoustic Target Strength
Version: 2.0.6
Copyright: See file inst/COPYRIGHTS.
Description: Acoustic target strength (TS) represents the intensity of an echo returning from an individual scatterer such as bubbles, fish, or zooplankton. TS can be used to convert integrated or volumetric backscatter collected from fisheries acoustic surveys into units of number density (e.g. animals per m^3), abundance (e.g. number of animals), and biomass (e.g. kg). This parameter can also be used to aid in classifying backscatter, such as separating likely echoes of large predatory fish (e.g. adult cod) from smaller prey (e.g. shrimp). One way to estimate TS is to use physics-based models to calculate theoretical TS that comprise exact and approximate solutions as well as analytical approaches. The models provided can help provide TS estimates over broad statistical distributions of model parameters. Applications are described by Lucca et al. (2023) <doi:10.1121/10.0022459>, with fisheries-acoustics principles from Simmonds and MacLennan (2005) <doi:10.1002/9780470995303>.
License: GPL-3
URL: https://brandynlucca.github.io/acousticTS/, https://doi.org/10.5281/zenodo.7600659
BugReports: https://github.com/brandynlucca/acousticTS/issues
Depends: R (>= 4.0.0)
Imports: grDevices, graphics, methods, parallel, pbapply, Rcpp, stats, tools, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
LinkingTo: BH, Rcpp, RcppArmadillo
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
Packaged: 2026-09-15 19:00:48 UTC; Brandyn
Author: Brandyn Lucca [aut, cre, cph] , Arnie Lee Van Buren [ctb, cph] , Jeffrey E. Boisvert [ctb]
Maintainer: Brandyn Lucca <brandyn.lucca@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-26 17:00:34 UTC

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Package ThSQCA updated to version 2.0.8 with previous version 2.0.7 dated 2026-09-24

Title: Threshold-Sweep QCA
Description: Provides threshold sweep methods for Qualitative Comparative Analysis (QCA). Implements Condition Threshold Sweep (CTS, for one or several conditions), Outcome Threshold Sweep (OTS), and Dual Threshold Sweep (DTS) for systematic exploration of threshold calibration effects on crisp-set QCA results. These methods extend traditional robustness approaches by treating threshold variation as an explicit analytical dimension and recording the sufficiency solution obtained at each threshold setting. Also provides Fiss (2011) <doi:10.5465/amj.2011.60263120> core/peripheral condition classification via compute_fiss_core() and generate_fiss_chart(), enabling four-symbol configuration charts that distinguish core conditions (conditions of the parsimonious term contained in each configuration) from peripheral conditions (intermediate only). Built on top of the 'QCA' package by Dusa (2019) <doi:10.1007/978-3-319-75668-4>, with function arguments following 'QCA' conventions. Based on set [...truncated...]
Author: Yuki Toyoda [aut, cre], Japan Society for the Promotion of Science [fnd]
Maintainer: Yuki Toyoda <yuki.toyoda.ds@hosei.ac.jp>

Diff between ThSQCA versions 2.0.7 dated 2026-09-24 and 2.0.8 dated 2026-09-26

 ThSQCA-2.0.7/ThSQCA/man/build_parsim_status_map.Rd        |only
 ThSQCA-2.0.7/ThSQCA/man/classify_term_conditions.Rd       |only
 ThSQCA-2.0.7/ThSQCA/man/extract_cond_status_map.Rd        |only
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Package rstudio.prefs updated to version 0.3.0 with previous version 0.2.0 dated 2026-08-20

Title: Manage 'RStudio' Preferences and Addin Shortcuts
Description: Provides an interface for working with 'RStudio' preference files to modify settings and addin shortcuts without using point-and-click option menus. Useful for ensuring a unified experience across devices and for enforcing best practices. Also exposes some settings not available in the Global Options dialog.
Author: S.A. van der Wulp [aut, cre, cph], Daniel D. Sjoberg [aut, cph]
Maintainer: S.A. van der Wulp <vdwulp@gmail.com>

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Package prcbench updated to version 1.1.16 with previous version 1.1.10 dated 2025-05-14

Title: Testing Workbench for Precision-Recall Curves
Description: A testing workbench to evaluate tools that calculate precision-recall curves. Saito and Rehmsmeier (2015) <doi:10.1371/journal.pone.0118432>.
Author: Takaya Saito [aut, cre] , Marc Rehmsmeier [aut] , The scikit-learn developers [cph] ; see inst/COPYRIGHTS)
Maintainer: Takaya Saito <takaya.saito@outlook.com>

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Package nullabor updated to version 0.3.16 with previous version 0.3.15 dated 2025-02-10

Title: Tools for Graphical Inference
Description: Tools for visual inference. Generate null data sets and null plots using permutation and simulation. Calculate distance metrics for a lineup, and examine the distributions of metrics.
Author: Hadley Wickham [aut, ctb] , Niladri Roy Chowdhury [aut, ctb], Di Cook [aut, cre] , Heike Hofmann [aut, ctb] , Mans Thulin [aut, ctb]
Maintainer: Di Cook <dicook@monash.edu>

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Package BFI updated to version 3.2.0 with previous version 3.1.0 dated 2025-05-24

Title: Bayesian Federated Inference
Description: The Bayesian Federated Inference ('BFI') method combines inference results obtained from local data sets in the separate centers. In this version of the package, the 'BFI' methodology is programmed for linear, logistic and survival regression models. For GLMs, see Jonker, Pazira and Coolen (2024) <doi:10.1002/sim.10072>; for survival models, see Pazira, Massa, Weijers, Coolen and Jonker (2026) <doi:10.1080/02664763.2025.2511932>; and for heterogeneous populations, see Jonker, Pazira and Coolen (2025) <doi:10.1017/rsm.2025.6>.
Author: Hassan Pazira [aut, cre] , Emanuele Massa [aut] , Marianne A. Jonker [aut]
Maintainer: Hassan Pazira <h.pazira@arq.org>

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Package ebrahim.gof updated to version 2.8.0 with previous version 2.7.0 dated 2026-09-09

Title: Goodness-of-Fit and Calibration Tests for Logistic Regression
Description: Provides a unified battery of goodness-of-fit and calibration tests for binary logistic regression, runnable in a single call via 'run.all.gof()'. Around twenty-five tests spanning five decades of literature are aggregated and grouped by the departure each is built to detect: global and standardized statistics, partition tests such as Hosmer-Lemeshow, directed and covariate-space tests, smoothing and resampling tests, and calibration tests. Each is obtained from its own package where installed and attributed to its authors. The package also implements the author's own procedures for sparse data, where the Hosmer-Lemeshow test loses power: the omnibus Ebrahim-Farrington test 'ef.gof()', the directed 'edge.gof()' and its covariate-space variant 'cdef.gof()', the Cauchy-combination ensemble 'edges.gof()', 'DeepGOF-1' (a pretrained convolutional statistic whose level comes from the analyst's own parametric bootstrap rather than from the network), and 'legoft()' (a frozen-weight combination [...truncated...]
Author: Ebrahim Khaled Ebrahim [aut, cre] , Jiawei Zhang [ctb, cph] , Jie Ding [ctb, cph] , Yuhong Yang [ctb, cph]
Maintainer: Ebrahim Khaled Ebrahim <ebrahimkhaled@alexu.edu.eg>

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Package plssem updated to version 0.1.5 with previous version 0.1.4 dated 2026-08-24

Title: Complex Partial Least Squares Structural Equation Modeling
Description: Estimate complex Structural Equation Models (SEMs) by fitting Partial Least Squares Structural Equation Modeling (PLS-SEM) and Partial Least Squares consistent Structural Equation Modeling (PLSc-SEM) specifications that handle categorical data, non-linear relations, and multilevel structures. The implementation follows Lohmöller (1989) for the classic PLS-SEM algorithm, Dijkstra and Henseler (2015) for consistent PLSc-SEM, Dijkstra et al., (2014) for nonlinear PLSc-SEM, and Schuberth, Henseler, Dijkstra (2018) for ordinal PLS-SEM and PLSc-SEM. Additional extensions are under development. The MC-OrdPLSc algorithm, used to handle ordinal interaction models is detailed in Slupphaug et al., (2026). References: Lohmöller, J.-B. (1989, ISBN:9783790803002). "Latent Variable Path Modeling with Partial Least Squares." Dijkstra, T. K., & Henseler, J. (2015). <doi:10.1016/j.jmva.2015.06.002>. "Consistent partial least squares path modeling." Dijkstra, T. K., & Schermelleh-Engel, K. [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

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Package boiwsa updated to version 1.1.5 with previous version 1.1.4 dated 2025-12-14

Title: Seasonal Adjustment of Weekly Data
Description: Perform seasonal adjustment and forecasting of weekly data. The package provides a user-friendly interface for computing seasonally adjusted estimates and forecasts of weekly time series and includes functions for the construction of country-specific prior adjustment variables, as well as diagnostic tools to assess the quality of the adjustments. The methodology is described in more detail in Ginker (2024) <doi:10.13140/RG.2.2.12221.44000>.
Author: Tim Ginker [aut, cre, cph] , Jon Lachman [ctb]
Maintainer: Tim Ginker <tim.ginker@gmail.com>

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Package rFIA updated to version 1.2.0 with previous version 1.1.4 dated 2026-06-26

Title: Estimation of Forest Variables using the FIA Database
Description: The goal of 'rFIA' is to increase the accessibility and use of the United States Forest Services (USFS) Forest Inventory and Analysis (FIA) Database by providing a user-friendly, open source toolkit to easily query and analyze FIA Data. Designed to accommodate a wide range of potential user objectives, 'rFIA' simplifies the estimation of forest variables from the FIA Database and allows all R users (experts and newcomers alike) to unlock the flexibility inherent to the Enhanced FIA design. Specifically, 'rFIA' improves accessibility to the spatial-temporal estimation capacity of the FIA Database by producing space-time indexed summaries of forest variables within user-defined population boundaries. Direct integration with other popular R packages (e.g., 'dplyr', 'tidyr', and 'sf') facilitates efficient space-time query and data summary, and supports common data representations and API design. The package implements design-based estimation procedures outlined by Bechtold & Patterson [...truncated...]
Author: Jeffrey Doser [aut, cre], Hunter Stanke [aut], Andrew Finley [aut]
Maintainer: Jeffrey Doser <jwdoser@ncsu.edu>

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 R/invasiveStarter.R    |   83 +++++++----
 R/plotFIA.R            |    8 -
 R/seedling.R           |    5 
 R/seedlingStarter.R    |   53 ++++---
 R/standStruct.R        |    5 
 R/standStructStarter.R |   25 +++
 R/sysdata.rda          |binary
 R/tpa.R                |    5 
 R/tpaStarter.R         |   21 +-
 R/util.R               |  297 ++++++++++++++++++++++-----------------
 R/vegStruct.R          |    4 
 R/vegStructStarter.R   |   50 +++++-
 R/vitalRates.R         |    5 
 R/vitalRatesStarter.R  |  145 +++++++++++++++----
 R/volume.R             |    5 
 R/volumeStarter.R      |   69 +++++++--
 R/writeFIA.R           |   18 ++
 README.md              |  105 +++++++-------
 inst/extdata/qrLM.jag  |    2 
 inst/extdata/qrLMM.jag |    2 
 man/area.Rd            |   18 ++
 man/areaChange.Rd      |   18 ++
 man/biomass.Rd         |   57 ++++---
 man/carbon.Rd          |   18 ++
 man/customPSE.Rd       |    4 
 man/diversity.Rd       |   22 ++
 man/dwm.Rd             |    2 
 man/fsi.Rd             |   22 ++
 man/growMort.Rd        |   19 ++
 man/intersectFIA.Rd    |    2 
 man/invasive.Rd        |    3 
 man/seedling.Rd        |   23 ++-
 man/standStruct.Rd     |   24 ++-
 man/tpa.Rd             |   20 ++
 man/vegStruct.Rd       |   25 ++-
 man/vitalRates.Rd      |   18 ++
 man/volume.Rd          |   18 ++
 60 files changed, 1796 insertions(+), 665 deletions(-)

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Package natcpp updated to version 0.3.2 with previous version 0.3.1 dated 2026-07-20

Title: Fast C++ Primitives for the 'NeuroAnatomy Toolbox'
Description: Fast functions implemented in C++ via 'Rcpp' to support the 'NeuroAnatomy Toolbox' ('nat') ecosystem. These functions provide large speed-ups for basic manipulation of neuronal skeletons over pure R functions found in the 'nat' package. The expectation is that end users will not use this package directly, but instead the 'nat' package will automatically use routines from this package when it is available to enable large performance gains.
Author: Gregory Jefferis [aut, cre] , libigl contributors [ctb, cph] ; see src/vendor/README.md)
Maintainer: Gregory Jefferis <jefferis@gmail.com>

Diff between natcpp versions 0.3.1 dated 2026-07-20 and 0.3.2 dated 2026-09-26

 DESCRIPTION                          |   27 +++++++++++--------
 MD5                                  |   40 +++++++++++++++++++++-------
 NAMESPACE                            |    1 
 NEWS.md                              |   27 +++++++++++++++++++
 R/RcppExports.R                      |   30 ++++++---------------
 R/inside_mesh.R                      |only
 R/utils.R                            |only
 R/weighted_jaccard.R                 |   49 ++++++++++++++++++++++++++++++++---
 man/c_pointsinside.Rd                |only
 man/c_weighted_jaccard_dense.Rd      |   31 +++++++++++++++++-----
 man/c_weighted_jaccard_sparse.Rd     |    8 +++--
 man/natcpp-package.Rd                |    5 +++
 src/RcppExports.cpp                  |   34 +++++++++++++++++++++++-
 src/fast_inside_mesh.cpp             |only
 src/inside_mesh.cpp                  |only
 src/vendor                           |only
 src/weighted_jaccard.cpp             |   25 ++---------------
 tests/testthat/test-inside-mesh.R    |only
 tests/testthat/test-utils.R          |only
 tests/testthat/testdata/ca1_mesh.rds |only
 20 files changed, 200 insertions(+), 77 deletions(-)

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Package NeutroIBDAnalysis updated to version 0.1.2 with previous version 0.1.1 dated 2026-06-05

Title: Neutrosophic Analysis of Incomplete Block Designs
Description: Provides methods for neutrosophic analysis of variance (NANOVA) and neutrosophic analysis of covariance (NANCOVA) for interval-valued data arising from incomplete block design experiments. The package supports balanced incomplete block designs (BIBDs), partially balanced incomplete block designs (PBIBDs), and lattice designs. Functions are included for treatment comparisons, least significant difference (LSD) tests, and interval-based statistical inference under neutrosophic environments.
Author: Neethu R.S. [aut, ctb], Cini Varghese [aut, ctb], Mohd Harun [aut, ctb], Anindita Datta [aut, ctb], Vinaykumar L.N. [aut, cre]
Maintainer: Vinaykumar L.N. <vinaymandya123@gmail.com>

Diff between NeutroIBDAnalysis versions 0.1.1 dated 2026-06-05 and 0.1.2 dated 2026-09-26

 DESCRIPTION        |    8 -
 MD5                |   18 ++--
 R/IBDnsANCOVA.R    |   55 ++++++------
 R/IBDnsANOVA.R     |   61 +++++++++----
 R/LDnsANCOVA.R     |  234 ++++++++++++++++++++++-------------------------------
 R/LDnsANOVA.R      |   54 +++++++-----
 man/IBDnsANCOVA.Rd |   21 ++--
 man/IBDnsANOVA.Rd  |    7 -
 man/LDnsANCOVA.Rd  |   14 +--
 man/LDnsANOVA.Rd   |    7 -
 10 files changed, 233 insertions(+), 246 deletions(-)

More information about NeutroIBDAnalysis at CRAN
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