Wed, 12 Aug 2026

Package lattice updated to version 0.23-1 with previous version 0.22-9 dated 2026-02-09

Title: Trellis Graphics for R
Description: A powerful and elegant high-level data visualization system inspired by Trellis graphics, with an emphasis on multivariate data. Lattice is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction.
Author: Deepayan Sarkar [aut, cre] , Felix Andrews [ctb], Kevin Wright [ctb] , Neil Klepeis [ctb], Johan Larsson [ctb] , Zhijian Wen [cph] , Paul Murrell [ctb], Stefan Eng [ctb] , Achim Zeileis [ctb] , Alexandre Courtiol [ctb]
Maintainer: Deepayan Sarkar <deepayan.sarkar@r-project.org>

Diff between lattice versions 0.22-9 dated 2026-02-09 and 0.23-1 dated 2026-08-12

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Package fastICA updated to version 1.2-8 with previous version 1.2-7 dated 2024-12-11

Title: FastICA Algorithms to Perform ICA and Projection Pursuit
Description: Implementation of FastICA algorithm to perform Independent Component Analysis (ICA) and Projection Pursuit.
Author: Jonathan L Marchini [aut], Chris Heaton [aut], Brian Ripley [aut, cre]
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

Diff between fastICA versions 1.2-7 dated 2024-12-11 and 1.2-8 dated 2026-08-12

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Package KernSmooth updated to version 2.23-27 with previous version 2.23-26 dated 2025-01-01

Title: Functions for Kernel Smoothing Supporting Wand & Jones (1995)
Description: Functions for kernel smoothing (and density estimation) corresponding to the book: Wand, M.P. and Jones, M.C. (1995) "Kernel Smoothing".
Author: Matt Wand [aut], Cleve Moler [ctb] , Brian Ripley [trl, cre, ctb]
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

Diff between KernSmooth versions 2.23-26 dated 2025-01-01 and 2.23-27 dated 2026-08-12

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Tue, 11 Aug 2026

Package tseries updated to version 0.10-63 with previous version 0.10-62 dated 2026-07-13

Title: Time Series Analysis and Computational Finance
Description: Time series analysis and computational finance.
Author: Adrian Trapletti [aut], Kurt Hornik [aut, cre] , Blake LeBaron [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between tseries versions 0.10-62 dated 2026-07-13 and 0.10-63 dated 2026-08-11

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Package RODBC updated to version 1.3-26.2 with previous version 1.3-26.1 dated 2025-12-15

Title: ODBC Database Access
Description: An ODBC database interface.
Author: Brian Ripley [aut, cre], Michael Lapsley [aut]
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

Diff between RODBC versions 1.3-26.1 dated 2025-12-15 and 1.3-26.2 dated 2026-08-11

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Fri, 07 Aug 2026

Package sundialr updated to version 0.2.0 with previous version 0.1.7 dated 2026-04-21

Title: An Interface to 'SUNDIALS' Ordinary Differential Equation (ODE) Solvers
Description: Provides a way to call the functions in 'SUNDIALS' C ODE solving library (<https://computing.llnl.gov/projects/sundials>). Currently the serial version of ODE solver, 'CVODE', sensitivity calculator 'CVODES' and differential algebraic solver 'IDA' from the 'SUNDIALS' library are implemented. The package requires ODE to be written as an 'R' or 'Rcpp' function and does not require the 'SUNDIALS' library to be installed on the local machine.
Author: Satyaprakash Nayak [aut, cre, cph] , Lawrence Livermore National Security [cph], Southern Methodist University [cph], University of Maryland Baltimore County [cph]
Maintainer: Satyaprakash Nayak <satyaprakash.nayak@gmail.com>

Diff between sundialr versions 0.1.7 dated 2026-04-21 and 0.2.0 dated 2026-08-07

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Wed, 05 Aug 2026

Package writexl updated to version 2.0.0 with previous version 1.5.4 dated 2025-04-15

Title: Export Data Frames to Excel 'xlsx' Format
Description: Zero-dependency data frame to xlsx exporter based on 'libxlsxwriter' <https://libxlsxwriter.github.io>. Fast and no Java or Excel required.
Author: Jeroen Ooms [aut] , Bill Denney [aut, cre] , John McNamara [cph] )
Maintainer: Bill Denney <wdenney@humanpredictions.com>

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Permanent link

Package WebGestaltR updated to version 1.0.1 with previous version 1.0.0 dated 2026-07-30

Title: Gene Set Analysis Toolkit WebGestaltR
Description: The web version WebGestalt <https://www.webgestalt.org> supports 12 organisms, 354 gene identifiers and 321,251 function categories. Users can upload the data and functional categories with their own gene identifiers. In addition to the Over-Representation Analysis, WebGestalt also supports Gene Set Enrichment Analysis and Network Topology Analysis. The user-friendly output report allows interactive and efficient exploration of enrichment results. The WebGestaltR package not only supports all above functions but also can be integrated into other pipeline or simultaneously analyze multiple gene lists.
Author: John Elizarraras [aut], Jing Wang [aut], Yuxing Liao [aut], Eric Jaehnig [ctb], Zhiao Shi [aut, cre], Quanhu Sheng [ctb]
Maintainer: Zhiao Shi <zhiao.shi@gmail.com>

Diff between WebGestaltR versions 1.0.0 dated 2026-07-30 and 1.0.1 dated 2026-08-05

 DESCRIPTION         |    8 ++++----
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 NEWS.md             |   11 +++++++++++
 src/Makevars.in     |   11 +++++++++--
 src/Makevars.win.in |    2 +-
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More information about WebGestaltR at CRAN
Permanent link

Package specmine readmission to version 3.1.8 with previous version 3.1.6 dated 2021-09-21

Title: Metabolomics and Spectral Data Analysis and Mining
Description: Provides methods for metabolomics and spectral data analysis, including data import, preprocessing, visualization, univariate and multivariate analysis, machine learning, feature selection, and pathway analysis. The package supports analytical workflows for different data types used in metabolomics and spectroscopy. Some optional functionality uses the suggested packages 'cyjShiny' and 'specmine.datasets'. The package 'specmine.datasets' is maintained separately at <https://github.com/PedroFontao/specmine.datasets>.
Author: Christopher Costa [aut], Marcelo Maraschin [aut], Miguel Rocha [aut], Sara Cardoso [aut], Telma Afonso [aut], Bruno Pereira [aut], Pedro Fontao [aut, cre], C. Beleites [cph], Jie Hao [cph]
Maintainer: Pedro Fontao <pedrofontao812004@gmail.com>

This is a re-admission after prior archival of version 3.1.6 dated 2021-09-21

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Package RaCE.NMA updated to version 1.2.0 with previous version 1.1.0 dated 2026-07-29

Title: Rank-Clustered Estimation for Network Meta-Analysis
Description: An implementation of the RaCE-NMA (Rank-Clustered Estimation for Network Meta-Analysis) model for post-hoc clustering of treatments or interventions by rank in network meta-analysis data. Functions for model estimation, assessment, and displaying results are provided. For more details, see Pearce and Zhou (2025) <doi:10.1017/rsm.2025.10049>.
Author: Michael Pearce [aut, cre, cph] , Shouhao Zhou [aut]
Maintainer: Michael Pearce <michaelpearce@reed.edu>

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Package corteza updated to version 0.7.1 with previous version 0.7.0 dated 2026-06-26

Title: AI Agent Runtime
Description: An agent runtime that gives Large Language Models (LLMs) from 'Anthropic' <https://www.anthropic.com/>, 'OpenAI' <https://openai.com/>, 'Moonshot' <https://www.moonshot.ai/>, and 'Ollama' <https://ollama.com/> direct access to a live R session with managed workspace state. Tools execute as R function calls with provenance tracking, and a deterministic retrieval system keeps relevant objects in context across turns. Three entry points: a shell command-line interface (CLI), a console read-eval-print-loop via chat(), and a Model Context Protocol (MCP) server via serve() for external clients.
Author: Troy Hernandez [aut, cre] , Grant McDermott [ctb] , Jorge Krzyzaniak [ctb], cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package neo2R updated to version 3.1.1 with previous version 3.0.0 dated 2026-05-18

Title: Neo4j to R
Description: The aim of neo2R is to provide simple and low level connectors for querying neo4j graph databases (<https://neo4j.com/>). The objects returned by the query functions are either lists or data.frames with very little post-processing. It allows fast processing of queries returning many records. And it let the users handle post-processing according to the data model and their needs.
Author: Patrice Godard [aut, cre, cph] , Eusebiu Marcu [ctb]
Maintainer: Patrice Godard <patrice.godard@gmail.com>

Diff between neo2R versions 3.0.0 dated 2026-05-18 and 3.1.1 dated 2026-08-05

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Package moranajp readmission to version 0.9.8 with previous version 0.9.7 dated 2024-08-01

Title: Morphological Analysis for Japanese
Description: Supports morphological analysis for Japanese by using 'MeCab' <https://taku910.github.io/mecab/>, 'Sudachi' <https://github.com/WorksApplications/Sudachi>, 'Chamame' <https://chamame.ninjal.ac.jp/>, or 'Ginza' <https://github.com/megagonlabs/ginza>. Can input a data.frame and obtain all results of 'MeCab' and the row number of the original data.frame as a text id.
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>

This is a re-admission after prior archival of version 0.9.7 dated 2024-08-01

Diff between moranajp versions 0.9.7 dated 2024-08-01 and 0.9.8 dated 2026-08-05

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Package ip2location updated to version 8.1.4 with previous version 8.1.3 dated 2023-05-02

Title: Lookup for IP Address Information
Description: Enables the user to find the country, region, district, city, coordinates, zip code, time zone, ISP, domain name, connection type, area code, weather, Mobile Country Codes (MCC), Mobile Network Code (MNC), mobile brand name, elevation, usage type, address type, IAB category and Autonomous system number (ASN) that any IP address or hostname originates from. Supported IPv4 and IPv6. Please visit <https://www.ip2location.com> to learn more. You may also want to visit <https://lite.ip2location.com> for free database download. This package requires 'IP2Location Python' module. At the terminal, please run 'pip install IP2Location' to install the module.
Author: Kai Wen Ooi [aut, cre], IP2Location [cph]
Maintainer: Kai Wen Ooi <support@ip2location.com>

Diff between ip2location versions 8.1.3 dated 2023-05-02 and 8.1.4 dated 2026-08-05

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Package invasible readmission to version 0.1.1 with previous version 0.1.0 dated 2026-07-21

Title: Predicting Invasion Probabilities from Phylogenetic Data and Species Traits
Description: A phylogenetic modelling approach for predicting species invasion risk, out of a given pool of local species where a subset is known to be invasive elsewhere. The package uses phylogenetic signal estimation and phylogenetic linear and logistic models to estimate probabilities of being invasive based on phylogeny and any set of additional predictors. A ranking method is implemented to evaluate prioritisation strategies. A manuscript describing these methods, by Shahar Dubiner and Tamar Guy-Haim, is in preparation.
Author: Shahar Dubiner [aut, cre]
Maintainer: Shahar Dubiner <dubiner@mail.tau.ac.il>

This is a re-admission after prior archival of version 0.1.0 dated 2026-07-21

Diff between invasible versions 0.1.0 dated 2026-07-21 and 0.1.1 dated 2026-08-05

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Package dwg2geo updated to version 0.2.4 with previous version 0.2.3 dated 2026-08-04

Title: Convert Engineering 'DWG' Drawings to Auditable 'GeoJSON'
Description: Converts engineering 'DWG' drawings ('AutoCAD' 2013+ format) to 'GeoJSON' entirely in-process, with no 'CAD' software, 'LibreDWG', or 'GDAL' required. Wraps the pure-Rust 'dwg2geo' conversion core <https://github.com/milkway/dwg2geo>: every feature carries resolved 'CAD' style metadata (layer, colour, line weight, text), skipped and failed entities are reported with reasons, and the output is deterministic: the same bytes always produce byte-identical 'GeoJSON'. Coordinates are kept in the drawing's local system; the package never guesses a coordinate reference system.
Author: Andre Leite [aut, cre]
Maintainer: Andre Leite <leite@castlab.org>

Diff between dwg2geo versions 0.2.3 dated 2026-08-04 and 0.2.4 dated 2026-08-05

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Package campsis updated to version 1.9.0 with previous version 1.8.2 dated 2026-03-19

Title: Generic PK/PD Simulation Platform Campsis
Description: A generic, easy-to-use and intuitive pharmacokinetic/pharmacodynamic (PK/PD) simulation platform based on the R packages 'rxode2' and 'mrgsolve'. Campsis provides an abstraction layer over the underlying processes of defining a PK/PD model, assembling a custom dataset and running a simulation. The package has a strong dependency on the R package 'campsismod', which allows models to be read from and written to files, including through a JSON-based interface, and to be adapted further on the fly in the R environment. In addition, 'campsis' allows users to assemble datasets in an intuitive manner, including via a JSON-based interface to import Campsis datasets defined using formal JSON schemas distributed with the package. Once the dataset is ready, the package prepares the simulation, calls 'rxode2' or 'mrgsolve' (at the user's choice), and returns the results for the given model, dataset and desired simulation settings. The package itself is licensed under the GPL (>= 3); the JSON sc [...truncated...]
Author: Nicolas Luyckx [aut, cre]
Maintainer: Nicolas Luyckx <nicolas.luyckx@calvagone.com>

Diff between campsis versions 1.8.2 dated 2026-03-19 and 1.9.0 dated 2026-08-05

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More information about campsis at CRAN
Permanent link

Package apache.sedona updated to version 1.9.1 with previous version 1.9.0 dated 2026-04-23

Title: R Interface for Apache Sedona
Description: R interface for 'Apache Sedona' based on 'sparklyr' (<https://sedona.apache.org>).
Author: Apache Sedona [aut, cre], Jia Yu [ctb, cph], Yitao Li [aut, cph] , The Apache Software Foundation [cph], RStudio [cph]
Maintainer: Apache Sedona <private@sedona.apache.org>

Diff between apache.sedona versions 1.9.0 dated 2026-04-23 and 1.9.1 dated 2026-08-05

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More information about apache.sedona at CRAN
Permanent link

Package btw updated to version 1.4.0 with previous version 1.3.0 dated 2026-07-02

Title: A Toolkit for Connecting R and Large Language Models
Description: A complete toolkit for connecting 'R' environments with Large Language Models (LLMs). Provides utilities for describing 'R' objects, package documentation, and workspace state in plain text formats optimized for LLM consumption. Supports multiple workflows: interactive copy-paste to external chat interfaces, programmatic tool registration with 'ellmer' chat clients, batteries-included chat applications via 'shinychat', and exposure to external coding agents through the Model Context Protocol. Project configuration files enable stable, repeatable conversations with project-specific context and preferred LLM settings.
Author: Garrick Aden-Buie [aut, cre] , Simon Couch [aut] , Joe Cheng [aut], Posit Software, PBC [cph, fnd], Google [cph] , Microsoft [cph] , Jamie Perkins [cph]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>

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Package palr updated to version 0.5.0 with previous version 0.4.0 dated 2023-11-06

Title: Colour Palettes for Data
Description: Colour palettes for data, based on some well known public data sets. Includes helper functions to map absolute values to known palettes, and capture the work of image colour mapping as raster data sets.
Author: Michael D. Sumner [aut, cre, cph], Abigael Proctor [ctb] , Tomas Remenyi [ctb] , R Core Team and contributors worldwide [ctb]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

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Tue, 04 Aug 2026

Package shinydataviewer updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-09

Title: Reusable Data Viewer Module for 'shiny'
Description: Provides a reusable 'shiny' module for viewing tabular data with a searchable 'reactable' table and a variable summary sidebar built with 'bslib'.
Author: Ryan Harrison [aut, cre, cph]
Maintainer: Ryan Harrison <harrison.ryan.w@gmail.com>

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Package nlmixr2plot updated to version 5.1.0 with previous version 5.0.2 dated 2026-06-11

Title: Nonlinear Mixed Effects Models in Population PK/PD, Plot Functions
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>). This package is for 'ggplot2' plotting methods for 'nlmixr2' objects.
Author: Matthew Fidler [aut, cre] , Bill Denney [ctb] , Wenping Wang [aut], Vipul Mann [aut]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between nlmixr2plot versions 5.0.2 dated 2026-06-11 and 5.1.0 dated 2026-08-04

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Package nlmixr2save updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-17

Title: Save 'nlmixr2' Fits in a Format Readable Outside 'nlmixr2'
Description: Provides tools to save 'nlmixr2' fitted models in a portable format readable outside of 'nlmixr2' and independent of the package version. 'nlmixr2' fits and compares nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving uses compiled C code from the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package nlmixr2 updated to version 7.0.1 with previous version 5.0.0 dated 2025-11-30

Title: Nonlinear Mixed Effects Models in Population PK/PD
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Anne Keunecke [ctb], Rik Schoemaker [ctb] , Justin Wilkins [ctb] , Wenping Wang [ctb], Mirjam Trame [ctb], John Harrold [ctb], Bill Denney [ctb] , Theodoros Papathanasiou [ctb], Richard Hooijmaijers [ctb], Michael Wayne Ke [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package sondage updated to version 0.9.1 with previous version 0.9.0 dated 2026-08-03

Title: Survey Sampling Algorithms
Description: Fast implementations of survey sampling algorithms for single-stage probability sampling from finite populations, written in C. Provides equal probability methods (simple random sampling, systematic, Bernoulli), unequal probability methods (conditional Poisson / maximum entropy, Sampford, Brewer, systematic PPS, Pareto, sequential Poisson, Poisson, Chromy's minimum replacement, multinomial), balanced sampling via the cube method, and spatially balanced sampling via the local pivotal method and spatially correlated Poisson sampling. All sampling functions return design objects carrying sample indices, inclusion probabilities, and design metadata. Generics compute joint inclusion probabilities, pairwise expectations, and sampling covariances for variance estimation. Mostly based on algorithms from Tillé (2006, <doi:10.1007/0-387-34240-0>).
Author: Ahmadou Dicko [aut, cre] , Thomas Lumley [ctb], Wilmer Prentius [ctb, cph] cube implementation from which src/cube.c was ported)
Maintainer: Ahmadou Dicko <mail@ahmadoudicko.com>

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Package pensar updated to version 0.7.0 with previous version 0.6.4 dated 2026-06-24

Title: LLM Wiki Engine
Description: Personal wiki engine with a large language model (LLM) as research assistant. Supports guided sessions through a 'Claude Code' <https://github.com/anthropics/claude-code> skill bundle and autonomous research runs from R via autoresearch(). Results land in a structured vault of markdown pages with 'YAML' frontmatter and wikilinks, ready for hand-editing in your favourite editor alongside the LLM. Vaults are seeded with 'CLAUDE.md' and 'AGENTS.md' so 'Claude Code', 'Codex' <https://github.com/openai/codex>, and other agents share the same operating instructions. Can adopt an existing 'Obsidian' <https://obsidian.md/> vault in place via init_vault(adopt = TRUE).
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package nanoarrow updated to version 0.9.0 with previous version 0.8.0-1 dated 2026-06-04

Title: Interface to the 'nanoarrow' 'C' Library
Description: Provides an 'R' interface to the 'nanoarrow' 'C' library and the 'Apache Arrow' application binary interface. Functions to import and export 'ArrowArray', 'ArrowSchema', and 'ArrowArrayStream' 'C' structures to and from 'R' objects are provided alongside helpers to facilitate zero-copy data transfer among 'R' bindings to libraries implementing the 'Arrow' 'C' data interface.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

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Package bases updated to version 0.2.1 with previous version 0.2.0 dated 2026-02-27

Title: Basis Expansions for Regression Modeling
Description: Provides various basis expansions for flexible regression modeling, including random Fourier features (Rahimi & Recht, 2007) <https://proceedings.neurips.cc/paper_files/paper/2007/file/013a006f03dbc5392effeb8f18fda755-Paper.pdf>, exact kernel / Gaussian process feature maps, prior features for Bayesian Additive Regression Trees (BART) (McCartan & Huang, 2026) <doi:10.48550/arXiv.2607.28844>, and a helpful interface for n-way interactions. The provided functions may be used within any modeling formula, allowing the use of kernel methods and other basis expansions in modeling functions that do not otherwise support them. Along with the basis expansions, a number of kernel functions are also provided, which support kernel arithmetic to form new kernels. Basic ridge regression functionality is included as well.
Author: Cory McCartan [aut, cre, cph]
Maintainer: Cory McCartan <mccartan@psu.edu>

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Package tinyrox updated to version 0.4.1 with previous version 0.4.0 dated 2026-06-24

Title: Minimal R Documentation Generator
Description: A deterministic, dependency-free documentation generator for R packages. Generates valid Rd files and NAMESPACE from 'roxygen2'-style comments using only base R. Supports a strict subset of tags with no markdown parsing, no inference magic, and explicit-only behavior.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package stt.api updated to version 0.3.1 with previous version 0.3.0 dated 2026-06-19

Title: 'OpenAI' Compatible Speech-to-Text API Client
Description: A minimal-dependency R client for 'OpenAI'-compatible speech-to-text APIs (see <https://developers.openai.com/api/reference/resources/audio>) with optional local fallbacks. Supports 'OpenAI', local servers, and the 'whisper' package for local transcription.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package rxode2 updated to version 5.1.6 with previous version 5.1.5 dated 2026-07-28

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The vendored 'SUNDIALS' 'CVODE' sources and headers are released under the BSD-3-Clause license. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut, cre] , Wenping Wang [aut], Aaron Collier [ctb] , Alan Hindmarsh [ctb], Arun Srinivasan [ctb], Ashley Crawford [ctb] , Awad H. Al-Mohy [ctb], Bill Denney [ctb] , Cleve Moler [ctb], Cody J. Balos [ctb] , Dan Shumaker [ctb] , Dan [...truncated...]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

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Package repo readmission to version 2.1.7 with previous version 2.1.5 dated 2020-02-08

Title: A Data-Centered Data Flow Manager
Description: A data manager meant to avoid manual storage/retrieval of data to/from the file system. It builds one (or more) centralized repository where R objects are stored with rich annotations, including corresponding code chunks, and easily searched and retrieved. See Napolitano (2017) <doi:10.1186/s12859-017-1510-6> for further information.
Author: Francesco Napolitano [aut, cre]
Maintainer: Francesco Napolitano <franapoli@gmail.com>

This is a re-admission after prior archival of version 2.1.5 dated 2020-02-08

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Package mx.crypto updated to version 0.2.1 with previous version 0.2.0 dated 2026-06-12

Title: Matrix End-to-End Encryption Primitives
Description: 'Olm' and 'Megolm' encryption ratchet primitives for the 'Matrix' messaging protocol <https://matrix.org/>, wrapping the 'vodozemac' Rust crate. Provides device-key generation, one-time-key management, 1:1 'Olm' sessions, and 'Megolm' group sessions. Pairs with the 'mx.api' package, which handles 'Matrix' HTTP transport.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph], The Matrix.org Foundation C.I.C. [ctb, cph] , Authors of the dependency Rust crates [ctb]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package mx.client updated to version 0.2.0 with previous version 0.1.1 dated 2026-06-19

Title: Stateful Matrix Client Helpers
Description: Stateful helpers for building 'Matrix' (<https://matrix.org>) chat clients in R. Builds on the low-level 'mx.api' Client-Server API bindings, adding local configuration persistence, room resolution, sync cursor handling, sync-event extraction, invite acceptance, a conservative Markdown-to-HTML converter for formatted messages, and 'Olm'/'Megolm' end-to-end encryption orchestration over the optional 'mx.crypto' package.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package moderndive updated to version 0.8.0 with previous version 0.7.0 dated 2024-09-01

Title: Tidyverse-Friendly Introductory Linear Regression
Description: Datasets and wrapper functions for tidyverse-friendly introductory linear regression, used in "Statistical Inference via Data Science: A ModernDive into R and the Tidyverse" available at <https://moderndive.com/>.
Author: Albert Y. Kim [aut, cre] , Chester Ismay [aut] , Andrew Bray [ctb] , Delaney Moran [ctb], Evgeni Chasnovski [ctb] , Will Hopper [ctb] , Benjamin S. Baumer [ctb] , Marium Tapal [ctb] , Wayne Ndlovu [ctb], Catherine Peppers [ctb], Annah Mutaya [ctb], A [...truncated...]
Maintainer: Albert Y. Kim <albert.ys.kim@gmail.com>

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Package log4r readmission to version 0.5.0 with previous version 0.4.4 dated 2024-10-12

Title: A Fast and Lightweight Logging System for R, Based on 'log4j'
Description: Provides a fast, lightweight, object-oriented approach to logging based on the widely-emulated 'log4j' system and etymology. Loggers write messages to one or more destinations, such as the console, a file, or a remote server, using a format you control. Messages below the chosen severity threshold are discarded cheaply, so logging calls can be left in production code.
Author: John Myles White [aut, cph], Kenton White [ctb], Kirill Mueller [ctb], Aaron Jacobs [aut], Posit Software, PBC [cph, fnd] , Hadley Wickham [cre]
Maintainer: Hadley Wickham <hadley@posit.co>

This is a re-admission after prior archival of version 0.4.4 dated 2024-10-12

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Package LLMR.shiny updated to version 0.1.2 with previous version 0.1.1 dated 2026-07-21

Title: Shared 'Shiny' Components for 'LLMR' Family Applications
Description: Reusable 'Shiny' user interface and server components from which the graphical applications in the 'LLMR' package family are assembled.
Author: Ali Sanaei [aut, cre]
Maintainer: Ali Sanaei <sanaei@uchicago.edu>

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Package gmvarkit updated to version 2.2.2 with previous version 2.2.1 dated 2025-10-06

Title: Estimate Gaussian and Student's t Mixture Vector Autoregressive Models
Description: Unconstrained and constrained maximum likelihood estimation of structural and reduced form Gaussian mixture vector autoregressive, Student's t mixture vector autoregressive, and Gaussian and Student's t mixture vector autoregressive models, quantile residual tests, graphical diagnostics, simulations, forecasting, and estimation of generalized impulse response function and generalized forecast error variance decomposition. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2016) <doi:10.1016/j.jeconom.2016.02.012>, Savi Virolainen (2025) <doi:10.1080/07350015.2024.2322090>, Savi Virolainen (in press) <doi:10.1016/j.ecosta.2025.09.003>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@gmail.com>

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Package ggforestplotR updated to version 0.3.1 with previous version 0.3.0 dated 2026-07-07

Title: Publication-Ready Forest Plots with 'ggplot2'
Description: Transform model coefficients into flexible forest plots using 'ggplot2'. Provides helpers to standardize coefficient data from a range of modelling workflows and render publication-ready forest plots with a consistent interface.
Author: Carson Richardson [aut, cre, cph]
Maintainer: Carson Richardson <carson.richardson@outlook.com>

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Package dlmtree updated to version 1.2.0 with previous version 1.1.1 dated 2026-02-02

Title: Bayesian Treed Distributed Lag Models
Description: Estimation of distributed lag models (DLMs) based on a Bayesian additive regression trees framework. Includes several extensions of DLMs: treed DLMs and distributed lag mixture models (Mork and Wilson, 2023) <doi:10.1111/biom.13568>; treed distributed lag nonlinear models (Mork and Wilson, 2022) <doi:10.1093/biostatistics/kxaa051>; heterogeneous DLMs (Mork, et. al., 2024) <doi:10.1080/01621459.2023.2258595>; monotone DLMs (Mork and Wilson, 2024) <doi:10.1214/23-BA1412>. The package also includes visualization tools and a 'shiny' interface to check model convergence and to help interpret results.
Author: Daniel Mork [aut, cre, cph] , Seongwon Im [aut] , Ander Wilson [aut]
Maintainer: Daniel Mork <dmork@hsph.harvard.edu>

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Package DataSpaceR updated to version 1.0.1 with previous version 1.0.0 dated 2026-06-26

Title: Interface to 'the CAVD DataSpace'
Description: Provides a convenient API interface to access immunological data within 'the CAVD DataSpace'(<https://dataspace.cavd.org>), a data sharing and discovery tool that facilitates exploration of HIV immunological data from pre-clinical and clinical HIV vaccine studies.
Author: Ju Yeong Kim [aut], Sean Hughes [rev], Jason Taylor [aut, cre], Helen Miller [aut], Kellie MacPhee [rev], CAVD DataSpace [cph]
Maintainer: Jason Taylor <jmtaylor@fredhutch.org>

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Package BioMonTools updated to version 1.3.2 with previous version 1.3.1 dated 2026-07-22

Title: Biomonitoring and Bioassessment Calculations
Description: An aid for manipulating data associated with biomonitoring and bioassessment. Calculations include metric calculation, marking of excluded taxa, subsampling, and multimetric index calculation. Targeted communities are benthic macroinvertebrates, fish, periphyton, and coral. As described in the Revised Rapid Bioassessment Protocols (Barbour et al. 1999) <https://archive.epa.gov/water/archive/web/html/index-14.html>.
Author: Erik W. Leppo [aut, cre] , Jen Stamp [ctb], John van Sickles [ctb], Ben Block [ctb]
Maintainer: Erik W. Leppo <Erik.Leppo@tetratech.com>

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Package OncoBayes2 updated to version 0.10-0 with previous version 0.9-4 dated 2025-12-18

Title: Bayesian Logistic Regression for Oncology Dose-Escalation Trials
Description: Bayesian logistic regression model with optional EXchangeability-NonEXchangeability parameter modelling for flexible borrowing from historical or concurrent data-sources. The safety model can guide dose-escalation decisions for adaptive oncology Phase I dose-escalation trials which involve an arbitrary number of drugs. Please refer to Neuenschwander et al. (2008) <doi:10.1002/sim.3230> and Neuenschwander et al. (2016) <doi:10.1080/19466315.2016.1174149> for details on the methodology.
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Lukas A. Widmer [aut], Andrew Bean [aut], Trustees of Columbia University [cph]
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

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Package llm.api updated to version 0.1.9 with previous version 0.1.8 dated 2026-06-26

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/>, 'OpenAI' 'Codex' subscription endpoints, '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', 'jsonlite', and 'tinyoauth'.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph], ellmer team [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package castor updated to version 1.8.7 with previous version 1.8.6 dated 2026-07-24

Title: Efficient Phylogenetics on Large Trees
Description: Efficient phylogenetic analyses on massive phylogenies comprising up to millions of tips. Functions include pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism), ancestral state reconstruction and hidden character prediction of discrete characters, simulating and fitting models of trait evolution, fitting and simulating diversification models, dating trees, comparing trees, and reading/writing trees in Newick format. Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>.
Author: Stilianos Louca [aut, cre, cph]
Maintainer: Stilianos Louca <louca.research@gmail.com>

Diff between castor versions 1.8.6 dated 2026-07-24 and 1.8.7 dated 2026-08-04

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Package amregtest updated to version 1.3.2 with previous version 1.2.0 dated 2026-07-13

Title: Runs Allelematch Regression Tests
Description: Automates regression testing of package 'allelematch'. Over 2500 tests cover all functions in 'allelematch', reproduce the examples from the documentation, and include negative tests. The implementation is based on 'testthat'.
Author: Department of Wildlife, Fish and Environmental Studies at Swedish University of Agricultural Sciences [cph], Goeran Spong [cph] , Paul Galpern [ctb] , Torvald Staxler [aut, cre]
Maintainer: Torvald Staxler <torvald.staxler@telia.com>

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Package scTenifoldNet updated to version 1.4 with previous version 1.3 dated 2021-10-29

Title: Construct and Compare scGRN from Single-Cell Transcriptomic Data
Description: A workflow based on machine learning methods to construct and compare single-cell gene regulatory networks (scGRN) using single-cell RNA-seq (scRNA-seq) data collected from different conditions. Uses principal component regression, tensor decomposition, and manifold alignment, to accurately identify even subtly shifted gene expression programs. See <doi:10.1016/j.patter.2020.100139> for more details.
Author: Daniel Osorio [aut, cre] , Yan Zhong [aut, ctb], Guanxun Li [aut, ctb], Jianhua Huang [aut, ctb], James Cai [aut, ctb, ths]
Maintainer: Daniel Osorio <dcosorioh@gmail.com>

Diff between scTenifoldNet versions 1.3 dated 2021-10-29 and 1.4 dated 2026-08-04

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Package nlmixr2extra updated to version 5.2.0 with previous version 5.1.0 dated 2026-06-07

Title: Nonlinear Mixed Effects Models in Population PK/PD, Extra Support Functions
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>). This package is for support functions like preconditioned fits <doi:10.1208/s12248-016-9866-5>, boostrap and stepwise covariate selection.
Author: Matthew Fidler [aut, cre] , Vipul Mann [aut], Vishal Sarsani [aut] , Christian Bartels [ctb], Bill Denney [aut] , Omar Elashkar [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package nlmixr2est updated to version 7.0.2 with previous version 6.0.1 dated 2026-06-03

Title: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Wenping Wang [aut], Audrey Lavenu [ctb], Ben Goodrich [ctb], David Ardia [cph], Dirk Eddelbuettel [cph], Elizabeth Eskow [ctb], Emmanuelle Comets [ctb], Hadley Wickham [ctb], Hajar Besbassi [ctb], Hidde van de Beek [ctb], [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package lgspline updated to version 1.2.1 with previous version 1.1.0 dated 2026-05-08

Title: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation
Description: Implements Lagrangian multiplier smoothing splines for flexible nonparametric regression and function estimation. Provides tools for fitting, prediction, and inference using a constrained optimization approach to enforce smoothness. Supports generalized linear models, Weibull accelerated failure time (AFT) models, Cox proportional hazards models, quadratic programming constraints, and customizable working-correlation structures, with options for parallel fitting. The core spline construction builds on Ezhov et al. (2018) <doi:10.1515/jag-2017-0029>. Quadratic-programming and SQP details follow Goldfarb & Idnani (1983) <doi:10.1007/BF02591962> and Nocedal & Wright (2006) <doi:10.1007/978-0-387-40065-5>. For smoothing spline and penalized spline background, see Wahba (1990) <doi:10.1137/1.9781611970128> and Wood (2017) <doi:10.1201/9781315370279>. For variance-component and correlation-parameter estimation, see Searle et al. (2006) <ISBN:978-04700 [...truncated...]
Author: Matthew Davis [aut, cre]
Maintainer: Matthew Davis <matthewlouisdavis@gmail.com>

Diff between lgspline versions 1.1.0 dated 2026-05-08 and 1.2.1 dated 2026-08-04

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Package ecoregime updated to version 0.4.1 with previous version 0.3.1 dated 2026-06-07

Title: Analysis of Ecological Dynamic Regimes
Description: A toolbox for implementing the Ecological Dynamic Regime framework, including functions to characterize and compare groups of ecological trajectories (Sánchez-Pinillos et al., 2023 <doi:10.1002/ecm.1589>); assess the ecological resilience of a disturbed system using a reference dynamic regime (Sánchez-Pinillos et al., 2024 <doi:10.1016/j.biocon.2023.110409>); and forecast ecological trajectories from a dynamic regime (Sánchez-Pinillos et al. 2026, <doi:10.1111/2041-210x.70372>). Additional functions are also available for visualizing ecological dynamic regimes, their representative trajectories, as well as predicted trajectories in a multidimensional state space.
Author: Martina Sanchez-Pinillos [aut, cre, cph]
Maintainer: Martina Sanchez-Pinillos <martina.sanchez.pinillos@gmail.com>

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Package BNPmix updated to version 1.2.3 with previous version 1.2.1 dated 2026-03-06

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

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Package uGMAR updated to version 3.6.1 with previous version 3.6.0 dated 2025-06-19

Title: Estimate Univariate Gaussian and Student's t Mixture Autoregressive Models
Description: Maximum likelihood estimation of univariate Gaussian Mixture Autoregressive (GMAR), Student's t Mixture Autoregressive (StMAR), and Gaussian and Student's t Mixture Autoregressive (G-StMAR) models, quantile residual tests, graphical diagnostics, forecast and simulate from GMAR, StMAR and G-StMAR processes. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2015) <doi:10.1111/jtsa.12108>, Mika Meitz, Daniel Preve, Pentti Saikkonen (2023) <doi:10.1080/03610926.2021.1916531>, Savi Virolainen (2022) <doi:10.1515/snde-2020-0060>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@gmail.com>

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Package roxygen2 updated to version 8.1.0 with previous version 8.0.0 dated 2026-05-01

Title: In-Line Documentation for R
Description: Generate your Rd documentation, 'NAMESPACE' file, and collation field using specially formatted comments. Writing documentation in-line with code makes it easier to keep your documentation up-to-date as your requirements change. 'roxygen2' is inspired by the 'Doxygen' system for C++.
Author: Hadley Wickham [aut, cre, cph] , Peter Danenberg [aut, cph], Gabor Csardi [aut], Manuel Eugster [aut, cph], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package quanteda updated to version 4.5.0 with previous version 4.4 dated 2026-04-06

Title: Quantitative Analysis of Textual Data
Description: A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and n-grams, exploring keywords in context, forming and manipulating sparse matrices of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses, and more.
Author: Kenneth Benoit [cre, aut, cph] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Paul Nulty [aut] , Adam Obeng [aut] , Stefan Mueller [aut] , Akitaka Matsuo [aut] , William Lowe [aut] , Christian Mueller [ctb], Olivier Delmarcelle [ctb] , European Research [...truncated...]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package ibdsim2 updated to version 2.3.3 with previous version 2.3.2 dated 2025-11-23

Title: Simulation of Chromosomal Regions Shared by Family Members
Description: Simulation of chromosomal segments shared identical-by-descent (IBD) among pedigree members. Using sex-specific recombination rates along the human genome (Halldorsson et al. (2019) <doi:10.1126/science.aau1043>), phased chromosomes are simulated for all pedigree members. Applications include calculation of realised relatedness coefficients and IBD segment distributions. 'ibdsim2' is part of the 'pedsuite' collection of packages for pedigree analysis. A detailed presentation of the 'pedsuite', including a separate chapter on 'ibdsim2', is available in the book 'Pedigree analysis in R' (Vigeland, 2021, ISBN:9780128244302). A 'Shiny' app for visualising and comparing IBD distributions is available at <https://magnusdv.shinyapps.io/ibdsim2-shiny/>.
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package gson updated to version 0.2.1 with previous version 0.2.0 dated 2026-07-01

Title: Base Class and Methods for 'gson' Format
Description: Provides a lightweight container and exchange format for gene set collections. It stores gene set membership, names, gene identifiers, species, versions, and source metadata, with utilities for reading, writing, validating, and converting gene set data for enrichment analysis and related workflows.
Author: Guangchuang Yu [aut, cre, cph]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package glmbayes readmission to version 0.9.75 with previous version 0.9.72 dated 2026-07-26

Title: Bayesian Generalized Linear Models (IID Samples)
Description: Provides Bayesian linear and generalized linear model fitting with independent and identically distributed (iid) posterior samples. The main functions mirror R's lm() and glm() interfaces while adding prior family specifications for Gaussian, Poisson, binomial, and Gamma models with log-concave likelihoods. Sampling for supported non-conjugate models uses accept-reject methods based on likelihood subgradients as in Nygren and Nygren (2006) <doi:10.1198/016214506000000357>. The package also includes tools for prior setup, posterior summaries, prediction, diagnostics, simulation, vignettes, and optional 'OpenCL' acceleration for larger models.
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]
Maintainer: Kjell Nygren <kjell.a.nygren@gmail.com>

This is a re-admission after prior archival of version 0.9.72 dated 2026-07-26

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Package hcinfer updated to version 0.2.0 with previous version 0.1.1 dated 2026-07-13

Title: Heteroskedasticity-Consistent Inference for Linear Models
Description: Computes heteroskedasticity-consistent covariance matrix estimators for ordinary least squares regression models. The published HC0 through HC5m estimators implemented in the package follow White (1980) <doi:10.2307/1912934>, Hinkley (1977) <doi:10.1080/00401706.1977.10489550>, MacKinnon and White (1985) <doi:10.1016/0304-4076(85)90158-7>, Cribari-Neto (2004) <doi:10.1016/S0167-9473(02)00366-3>, Cribari-Neto and da Silva (2011) <doi:10.1007/s10182-010-0141-2>, Cribari-Neto et al. (2007) <doi:10.1080/03610920601126589>, and Li et al. (2016) <doi:10.1080/00949655.2016.1198906>. The package also includes HCbeta, a new estimator proposed by the package authors. It provides normal Wald tests, confidence intervals, diagnostics, and S3 output for applied inference.
Author: Pedro Rafael D. Marinho [aut, cre] , Francisco Cribari-Neto [aut] , Marina Oliveira Cunha [aut]
Maintainer: Pedro Rafael D. Marinho <pedro.rafael.marinho@gmail.com>

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Package enrichit updated to version 0.2.1 with previous version 0.2.0 dated 2026-07-01

Title: 'C++' Implementations of Functional Enrichment Analysis
Description: Fast implementations of functional enrichment analysis methods using 'C++' via 'Rcpp'. Currently provides Over-Representation Analysis (ORA), Gene Set Enrichment Analysis (GSEA), Weighted Enrichment Analysis for ORA and GSEA, Network-based Set Enrichment Analysis (NSEA), multi-layer network-based enrichment, and multi-omics integration workflows. Additional features include early fusion at the feature level, late fusion at the pathway level, multi-omics contribution tracing, topology-aware explanation helpers, Bayesian term selection, and extremely fast Random Walk with Restart (RWR) using 'RcppEigen'. The enrichment methods build on GSEA by Subramanian et al. (2005) <doi:10.1073/pnas.0506580102>, the multilevel strategy derived from 'fgsea' by Korotkevich et al. (2021) <doi:10.1101/060012>, and network-based enrichment ideas described by Glaab et al. (2012) <doi:10.1093/bioinformatics/bts389>.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package zip updated to version 3.0.2 with previous version 3.0.1 dated 2026-07-13

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

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Package weightflow updated to version 1.0.0 with previous version 0.2.0 dated 2026-07-22

Title: Declarative API for Staged Survey Weights
Description: Builds survey weights from design base weights by chaining the stages of a weighting workflow (unknown-eligibility redistribution, nonresponse adjustment, calibration to known population totals, and weight trimming) through a declarative, pipeable, 'tidymodels'-style API, with nonresponse handled by weighting classes, by response-propensity models fitted with logistic regression or machine-learning learners (trees, random forests and gradient boosting), or by calibration. Calibration follows Deville and Sarndal (1992) <doi:10.2307/2290268>, and a range-restricted variant trims the weights into a fixed interval while preserving the calibration totals, following the generalized exponential method of Folsom and Singh (2000). Variances are obtained with a recipe-aware bootstrap and jackknife that resample primary sampling units and re-apply the whole cascade on each replicate, following the rescaling bootstrap of Rao and Wu (1988) <doi:10.1080/01621459.1988.10478591>, so the re [...truncated...]
Author: Juan Pablo Ferreira [aut, cre], Andres Gutierrez [ctb]
Maintainer: Juan Pablo Ferreira <juanpablo.ferreira@fcea.edu.uy>

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More information about weightflow at CRAN
Permanent link

Package vivainsights updated to version 0.7.3 with previous version 0.7.2 dated 2026-04-28

Title: Analyze and Visualize Data from 'Microsoft Viva Insights'
Description: Provides a versatile range of functions, including exploratory data analysis, time-series analysis, organizational network analysis, and data validation, whilst at the same time implements a set of best practices in analyzing and visualizing data specific to 'Microsoft Viva Insights'.
Author: Martin Chan [aut, cre], Carlos Morales [aut]
Maintainer: Martin Chan <martin.chan@microsoft.com>

Diff between vivainsights versions 0.7.2 dated 2026-04-28 and 0.7.3 dated 2026-08-04

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More information about vivainsights at CRAN
Permanent link

Package verifyr2 updated to version 1.3.0 with previous version 1.2.0 dated 2026-05-23

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 1.2.0 dated 2026-05-23 and 1.3.0 dated 2026-08-04

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More information about verifyr2 at CRAN
Permanent link

Package tidyEmoji updated to version 0.3.0 with previous version 0.2.0 dated 2026-06-17

Title: Discover, Count, Categorise, Score, Translate and Relate Emoji in Text
Description: A tidy toolkit for working with the emoji in any text column, such as social-media posts, product reviews, chat logs or survey responses. Unicode is awkward to handle and not every code point is an emoji, which makes emoji statistics fiddly to obtain. 'tidyEmoji' extracts, counts, categorises, sentiment-scores and emotion-scores emoji, converts them to and from text (for accessibility and NLP preprocessing), searches the emoji catalogue, maps emoji co-occurrence and sequences (graph-ready edge lists and n-grams), measures where and how densely emoji are used, and builds document-by-emoji feature tables for machine learning, with grapheme-aware detection (so skin-tone and multi-person sequences stay intact), returning tidy data frames that slot straight into a 'tidyverse' workflow. The bundled emoji sentiment lexicon is from the Emoji Sentiment Ranking of Kralj Novak et al. (2015) <doi:10.1371/journal.pone.0144296>, released under CC BY-SA 4.0; the emotion lexicon is from EmoTag12 [...truncated...]
Author: Youzhi Yu [aut, cre]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>

Diff between tidyEmoji versions 0.2.0 dated 2026-06-17 and 0.3.0 dated 2026-08-04

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More information about tidyEmoji at CRAN
Permanent link

Package opencltools updated to version 0.8.3 with previous version 0.8.2 dated 2026-07-11

Title: 'OpenCL' Tools for R Package Developers
Description: Runtime 'OpenCL' support for R package developers: probe hardware and drivers, load and concatenate kernel sources, and manage dependency-annotated '.cl' libraries, so packages like 'nmathopencl' and other ported libraries can offer GPU acceleration without each re-implementing and related helpers. Vignettes illustrate integration with suggested package 'nmathopencl' and with downstream applications such as 'glmbayes'; production kernels for those applications ship in those packages rather than here.
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]
Maintainer: Kjell Nygren <kjell.a.nygren@gmail.com>

Diff between opencltools versions 0.8.2 dated 2026-07-11 and 0.8.3 dated 2026-08-04

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 12 files changed, 213 insertions(+), 273 deletions(-)

More information about opencltools at CRAN
Permanent link

Package lstar updated to version 0.2.2 with previous version 0.2.1 dated 2026-07-22

Title: Uniform Data Model and 'Zarr' Interchange for Single-Cell Omics
Description: A lightweight interchange layer for single-cell and spatial omics data, built on the L-star model of labelled axes and typed fields over them, serialized to the 'Zarr' format. Provides bidirectional converters ("profiles") for 'Seurat', 'SingleCellExperiment', 'Conos', and 'pagoda2' objects, including collections of heterogeneous samples, via a shared C++ core ('libstar') so the same store is readable from R, 'Python', and C++.
Author: Peter Kharchenko [aut, cre]
Maintainer: Peter Kharchenko <pk.restricted@gmail.com>

Diff between lstar versions 0.2.1 dated 2026-07-22 and 0.2.2 dated 2026-08-04

 DESCRIPTION                         |    8 ++---
 MD5                                 |   10 +++---
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 R/viewer.R                          |   42 ++++++++++++++++++++++++---
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 tests/testthat/test-viewer-export.R |   56 ++++++++++++++++++++++++++++++++++++
 6 files changed, 144 insertions(+), 15 deletions(-)

More information about lstar at CRAN
Permanent link

Package lapop updated to version 2.1.7 with previous version 2.1.5 dated 2026-04-29

Title: Processing, Visualizing, and Labeling Americas Barometer Data
Description: Labeling, weighting, and plotting data following custom style guidelines for use in reports, presentations, and social media posts. The Center for Global Democracy (formerly the Latin American Public Opinion Project) at Vanderbilt University is a leader in public survey research, best known for the Americas Barometer project. The publicly available data can be downloaded from: <https://www.vanderbilt.edu/lapop/data-access.php>.
Author: Robert Vidigal [cre, aut] , Luke Plutowski [ctb, aut]
Maintainer: Robert Vidigal <robert.vidigal@vanderbilt.edu>

Diff between lapop versions 2.1.5 dated 2026-04-29 and 2.1.7 dated 2026-08-04

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Package iC10 updated to version 2.0.3 with previous version 2.0.2 dated 2024-07-19

Title: A Copy Number and Expression-Based Classifier for Breast Tumours
Description: Implementation of the classifier described in the paper Ali HR et al (2014) <doi:10.1186/s13059-014-0431-1>. It uses copy number and/or expression form breast cancer data, trains a Tibshirani's 'pamr' classifier with the features available and predicts the iC10 group.
Author: Oscar M Rueda [aut, cre]
Maintainer: Oscar M Rueda <Oscar.Rueda@mrc-bsu.cam.ac.uk>

Diff between iC10 versions 2.0.2 dated 2024-07-19 and 2.0.3 dated 2026-08-04

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Package easyRasch2 updated to version 1.1.1 with previous version 1.1.0 dated 2026-07-14

Title: Psychometric Analysis with Rasch Measurement Theory
Description: Streamlines reproducible Rasch measurement theory analyses for ordinal item-response data, combining estimation routines from 'eRm', 'psychotools', 'mirt', 'iarm', and 'lavaan' with consistent diagnostic, plotting, and reporting layers. Covers the four basic psychometric criteria summarised by Christensen et al. (2021) <doi:10.1111/sms.13908> -- unidimensionality, local independence, ordered response category thresholds, and invariance across subgroups -- together with item fit, targeting, reliability, category functioning, and descriptive item-response plots. A distinguishing feature is the use of simulation-based critical values to replace rule-of-thumb cutoffs for conditional infit mean-square, Yen's Q3 local-dependence statistic, the largest residual-PCA eigenvalue, ordinal CFA fit indices, and partial-gamma DIF and local-dependence coefficients, optionally augmented with multiplicity-corrected bootstrap p-values. Outputs are knitr::kable() tables and 'ggplot2' figures suitab [...truncated...]
Author: Magnus Johansson [aut, cre] , Nicklas Korsell [ctb] , Mirka Henninger [ctb] , Jan Radek [ctb]
Maintainer: Magnus Johansson <pgmj@pm.me>

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Package easyPSID updated to version 0.1.3 with previous version 0.1.2 dated 2021-10-03

Title: Reading, Formatting, and Organizing the Panel Study of Income Dynamics (PSID)
Description: Provides various functions for reading and preparing the Panel Study of Income Dynamics (PSID) for longitudinal analysis, including functions that read the PSID's fixed width format files directly into R, rename all of the PSID's longitudinal variables so that recurring variables have consistent names across years, simplify assembling longitudinal datasets from cross sections of the PSID Family Files, and export the resulting PSID files into file formats common among other statistical programming languages ('SAS', 'STATA', and 'SPSS').
Author: Brian Aronson [aut, cre]
Maintainer: Brian Aronson <bdaronson@gmail.com>

Diff between easyPSID versions 0.1.2 dated 2021-10-03 and 0.1.3 dated 2026-08-04

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Package DasGuptR updated to version 2.2.0 with previous version 2.1.0 dated 2025-04-07

Title: Das Gupta Standardisation and Decomposition
Description: Implementation of Das Gupta's standardisation and decomposition of population rates, as set out "Standardization and decomposition of rates: A user’s manual", Das Gupta (1993) <https://www2.census.gov/library/publications/1993/demographics/p23-186.pdf>. The goal of these methods is to calculate adjusted rates based on compositional 'factors' and quantify the contribution of each factor to the difference in crude rates between populations. The package offers functionality to handle various scenarios for any number of factors and populations, where said factors can be comprised of vectors across sub-populations (including cross-classified population breakdowns), and with the option to specify user-defined rate functions.
Author: Josiah King [aut, cre], Ben Matthews [aut], Prithwis Das Gupta [aut]
Maintainer: Josiah King <josiah.king@ed.ac.uk>

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Package stringi updated to version 1.8.9 with previous version 1.8.7 dated 2025-03-27

Title: Fast and Portable Character String Processing Facilities
Description: A collection of character string/text/natural language processing tools for pattern searching (e.g., with 'Java'-like regular expressions or the 'Unicode' collation algorithm), random string generation, case mapping, string transliteration, concatenation, sorting, padding, wrapping, Unicode normalisation, date-time formatting and parsing, and many more. They are fast, consistent, convenient, and - thanks to 'ICU' (International Components for Unicode) - portable across all locales and platforms. Documentation about 'stringi' is provided via its website at <https://stringi.gagolewski.com/> and the paper by Gagolewski (2022, <doi:10.18637/jss.v103.i02>).
Author: Marek Gagolewski [aut, cre, cph] , Bartek Tartanus [ctb], Unicode, Inc. and others [ctb]
Maintainer: Marek Gagolewski <marek@gagolewski.com>

Diff between stringi versions 1.8.7 dated 2025-03-27 and 1.8.9 dated 2026-08-04

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Package rncl updated to version 0.8.10 with previous version 0.8.9 dated 2026-01-21

Title: An Interface to the Nexus Class Library
Description: An interface to the Nexus Class Library which allows parsing of NEXUS, Newick and other phylogenetic tree file formats. It provides elements of the file that can be used to build phylogenetic objects such as ape's 'phylo' or phylobase's 'phylo4(d)'. This functionality is demonstrated with 'read_newick_phylo()' and 'read_nexus_phylo()'.
Author: Francois Michonneau [aut, cre] , Ben Bolker [aut] , Mark Holder [aut] , Paul Lewis [aut] , Brian O'Meara [aut]
Maintainer: Francois Michonneau <francois.michonneau@gmail.com>

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Package RBesT updated to version 1.11-0 with previous version 1.10-0 dated 2026-07-02

Title: R Bayesian Evidence Synthesis Tools
Description: Tool-set to support Bayesian evidence synthesis. This includes meta-analysis, (robust) prior derivation from historical data, operating characteristics and analysis (1 and 2 sample cases). Please refer to Weber et al. (2021) <doi:10.18637/jss.v100.i19> for details on applying this package while Neuenschwander et al. (2010) <doi:10.1177/1740774509356002> and Schmidli et al. (2014) <doi:10.1111/biom.12242> explain details on the methodology.
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Beat Neuenschwander [ctb], Heinz Schmidli [ctb], Baldur Magnusson [ctb], Yue Li [ctb], Satrajit Roychoudhury [ctb], Lukas A. Widmer [ctb] , Daniel Sabanes Bove [ctb] , Trustees of Columbia Univers [...truncated...]
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

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Package PTSDdiag updated to version 0.5.0 with previous version 0.4.1 dated 2026-07-13

Title: Optimize PTSD Diagnostic Criteria
Description: Provides tools for analyzing and optimizing PTSD (Post-Traumatic Stress Disorder) diagnostic criteria using PCL-5 (PTSD Checklist for DSM-5) and CAPS-5 (Clinician-Administered PTSD Scale for DSM-5) data. Functions identify optimal subsets of PCL-5 items that maintain diagnostic accuracy while reducing assessment burden. Includes tools for both hierarchical (cluster-based) and non-hierarchical symptom combinations, calculation of diagnostic metrics, and comparison with standard DSM-5 criteria. Redundancy analysis quantifies how many item subsets perform equivalently, through plateau sizes and bootstrap stability, and reports item selection against the chance baseline of the searched candidate space. A transport layer allows a site to evaluate subsets derived elsewhere and return only aggregate summaries, supporting multi-site validation without sharing individual-level data. Model validation is conducted using holdout and cross-validation methods to assess robustness and generalizabilit [...truncated...]
Author: Laura Weidmann [aut] , Tobias R. Spiller [aut, cre] , Flavio A. Schueepp [aut]
Maintainer: Tobias R. Spiller <tobias.spiller@access.uzh.ch>

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Package libr updated to version 1.4.2 with previous version 1.4.1 dated 2026-04-04

Title: Libraries, Data Dictionaries, and a Data Step for R
Description: Contains a set of functions to create data libraries, generate data dictionaries, and simulate a data step. The libname() function will load a directory of data into a library in one line of code. The dictionary() function will generate data dictionaries for individual data frames or an entire library. And the datestep() function will perform row-by-row data processing.
Author: David Bosak [aut, cre], Brian Varney [ctb], Archytas Clinical Solutions [cph]
Maintainer: David Bosak <dbosak01@gmail.com>

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Package ggRandomForests updated to version 3.5.0 with previous version 3.4.0 dated 2026-07-02

Title: Visually Exploring Random Forests
Description: Graphic elements for exploring Random Forests using the 'randomForest' or 'randomForestSRC' package for survival, regression and classification forests and 'ggplot2' package plotting. Implements visualizations of the methods described in Breiman (2001) <doi:10.1023/A:1010933404324> and Ishwaran, Kogalur, Blackstone, and Lauer (2008) <doi:10.1214/08-AOAS169>.
Author: John Ehrlinger [aut, cre]
Maintainer: John Ehrlinger <john.ehrlinger@gmail.com>

Diff between ggRandomForests versions 3.4.0 dated 2026-07-02 and 3.5.0 dated 2026-08-04

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 R/calc_roc.R                                                              |    4 
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 R/gg_rfsrc.R                                                              |    7 
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Package encharter updated to version 0.10 with previous version 0.9.1 dated 2026-06-27

Title: Enhanced Office Open XML Charting for 'openxlsx2'
Description: Provides a high-level 'R6' interface for creating complex Office Open XML (OOXML) charts. Allows users to build multi-series combo charts with secondary axes and granular styling options, designed to integrate seamlessly with 'openxlsx2'.
Author: Jan Marvin Garbuszus [aut, cre]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

Diff between encharter versions 0.9.1 dated 2026-06-27 and 0.10 dated 2026-08-04

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Package BayesianFitForecast updated to version 1.1.1 with previous version 1.1.0 dated 2025-08-19

Title: Bayesian Parameter Estimation and Forecasting for Epidemiological Models
Description: Methods for Bayesian parameter estimation and forecasting in epidemiological models. Functions enable model fitting using Bayesian methods and generate forecasts with uncertainty quantification. Implements approaches described in <doi:10.48550/arXiv.2411.05371> and <doi:10.1002/sim.9164>.
Author: Hamed Karami [aut], Amanda Bleichrodt [aut], Ruiyan Luo [aut], Gerardo Chowell [aut, cre]
Maintainer: Gerardo Chowell <gchowell@gsu.edu>

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Package xactonomial updated to version 1.2.2 with previous version 1.2.1 dated 2026-07-30

Title: Inference for Functions of Multinomial Parameters
Description: We consider the problem where we observe k vectors (possibly of different lengths), each representing an independent multinomial random vector. For a given function that takes in the concatenated vector of multinomial probabilities and outputs a real number, this is a Monte Carlo estimation procedure of an exact p-value and confidence interval. The resulting inference is valid even in small samples, when the parameter is on the boundary, and when the function is not differentiable at the parameter value, all situations where asymptotic methods and the bootstrap would fail. For more details see Sachs, Fay, and Gabriel (2025) <doi:10.48550/arXiv.2406.19141>.
Author: Michael C Sachs [aut, cre], Michael P Fay [aut], Erin E Gabriel [aut], David B Dahl [ctb] )
Maintainer: Michael C Sachs <sachsmc@gmail.com>

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Package mizer updated to version 3.2.1 with previous version 3.2.0 dated 2026-07-19

Title: Dynamic Multi-Species Size Spectrum Modelling
Description: A set of classes and methods to set up and run multi-species, trait based and community size spectrum ecological models, focused on the marine environment.
Author: Gustav Delius [cre, aut, cph] , Finlay Scott [aut, cph], Julia Blanchard [aut, cph] , Ken Andersen [aut, cph] , Richard Southwell [ctb, cph]
Maintainer: Gustav Delius <gustav.delius@york.ac.uk>

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Package mixedBayes updated to version 0.2.6 with previous version 0.2.5 dated 2026-04-23

Title: Bayesian Longitudinal Regularized Quantile Mixed Model
Description: With high-dimensional omics features, repeated measure ANOVA leads to longitudinal gene-environment interaction studies that have intra-cluster correlations, outlying observations and structured sparsity arising from the ANOVA design. In this package, we have developed robust sparse Bayesian mixed effect models tailored for the above studies (Fan et al. (2025) <doi:10.1093/jrsssc/qlaf027>). An efficient Gibbs sampler has been developed to facilitate fast computation. The Markov chain Monte Carlo algorithms of the proposed and alternative methods are efficiently implemented in 'C++'. The development of this software package and the associated statistical methods have been partially supported by an Innovative Research Award from Johnson Cancer Research Center, Kansas State University.
Author: Kun Fan [aut, cre], Shejuty Devnath [aut], Cen Wu [aut]
Maintainer: Kun Fan <fzt0428@gmail.com>

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Package thisutils updated to version 0.4.9 with previous version 0.4.7 dated 2026-05-24

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 proximetricsR updated to version 0.7.0 with previous version 0.6.5 dated 2026-07-17

Title: Spectral Preprocessing and Chemometric Calibration of NIR Sensors
Description: Provides tools to build quantitative chemometric models and applications for near-infrared (NIR) sensors. Chemometric regression models are based on partial least squares regression as described by Wold (1975) <doi:10.1016/B978-0-12-103950-9.50017-4> and modified partial least squares regression as described by Shenk and Westerhaus (1991) <doi:10.2135/cropsci1991.0011183X003100020049x>, with further discussion by Westerhaus (2014) <doi:10.1255/nirn.1492>.
Author: Leonardo Ramirez-Lopez [aut, cre] , Claudio Orellano [aut] , Nicolae Cudlenco [aut] , Mai Said [aut] , Mohamed Abushosha [aut], Marcal Plans [aut]
Maintainer: Leonardo Ramirez-Lopez <ramirez-lopez.l@buchi.com>

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Package nanonext updated to version 1.10.2 with previous version 1.10.1 dated 2026-07-09

Title: Lightweight Toolkit for Messaging, Concurrency and the Web
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. A toolkit for messaging, concurrency and the web. High-performance socket messaging over in-process, IPC, TCP, WebSocket and secure TLS transports implements 'Scalability Protocols', a standard for common communications patterns including publish/subscribe, request/reply and survey. A threaded concurrency framework with intuitive 'aio' objects that resolve automatically upon completion of asynchronous operations, and synchronisation primitives that allow R to wait on events signalled by concurrent threads. A unified HTTP server hosting REST endpoints, WebSocket connections and streaming on a single port, with a built-in HTTP client.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph], Staysail Systems, Inc. [cph] , Capitar IT Group BV [cph] , The Mbed TLS Contributors [cph] , Pierre L'Ecuyer [cph] , sakura authors [cph] , R Consortium [fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package mritc updated to version 0.6.1 with previous version 0.6.0 dated 2026-07-24

Title: MRI Tissue Classification
Description: Implements various methods for tissue classification in magnetic resonance (MR) images of the brain, including normal mixture models and hidden Markov normal mixture models, as outlined in Feng & Tierney (2011) <doi:10.18637/jss.v044.i07>. These methods allow a structural MR image to be classified into gray matter, white matter and cerebrospinal fluid tissue types.
Author: Dai Feng [aut], Luke Tierney [aut], Jon Clayden [cre, aut]
Maintainer: Jon Clayden <code@clayden.org>

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Package grangers updated to version 0.1.1 with previous version 0.1.0 dated 2019-06-03

Title: Inference on Granger-Causality in the Frequency Domain
Description: Implements unconditional and conditional Granger-causality spectra in the frequency domain, bootstrap inference for both spectra and their difference, and the Breitung-Candelon parametric tests. The bootstrap procedures follow Farnè and Montanari (2022) <doi:10.1007/s10614-021-10112-x>.
Author: Matteo Farne [aut, cre], Angela Montanari [aut]
Maintainer: Matteo Farne <matteo.farne@unibo.it>

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Package astgrepr updated to version 0.1.2 with previous version 0.1.1 dated 2025-06-07

Title: Parse and Manipulate R Code
Description: Parsing R code is key to build tools such as linters and stylers. This package provides a binding to the 'Rust' crate 'ast-grep' so that one can parse and explore R code.
Author: Etienne Bacher [aut, cre, cph]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>

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Package aplotExtra updated to version 0.0.6 with previous version 0.0.5 dated 2026-07-13

Title: Creating Composite Plots using 'aplot'
Description: Many complex plots are actually composite plots, such as 'oncoplot', 'funkyheatmap', 'upsetplot', etc. We can produce subplots using 'ggplot2' and combine them to create composite plots using 'aplot'. In this way, it is easy to customize these complex plots, by adding, deleting or modifying subplots in the final plot. This package provides a set of utilities to help users to create subplots and complex plots.
Author: Guangchuang Yu [aut, cre] , Shuangbin Xu [ctb] , Chun-Hui Gao [ctb] , Shensuo Li [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between aplotExtra versions 0.0.5 dated 2026-07-13 and 0.0.6 dated 2026-08-04

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Package sstvars updated to version 1.2.5 with previous version 1.2.4 dated 2026-05-29

Title: Toolkit for Reduced Form and Structural Smooth Transition Vector Autoregressive Models
Description: Penalized and non-penalized maximum likelihood estimation of smooth transition vector autoregressive models with various types of transition weight functions, conditional distributions, and identification methods. Constrained estimation with various types of constraints is available. Residual based model diagnostics, forecasting, simulations, counterfactual analysis, and computation of impulse response functions, generalized impulse response functions, generalized forecast error variance decompositions, as well as historical decompositions. See Heather Anderson, Farshid Vahid (1998) <doi:10.1016/S0304-4076(97)00076-6>, Helmut Lütkepohl, Aleksei Netšunajev (2017) <doi:10.1016/j.jedc.2017.09.001>, Markku Lanne, Savi Virolainen (2025) <doi:10.1016/j.jedc.2025.105162>, Savi Virolainen (2026) <doi:10.1080/07474938.2026.2673986>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@gmail.com>

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Package MultiEFM updated to version 0.1.4 with previous version 0.1.3 dated 2026-07-28

Title: Robust Estimation for Multi-Study High-Dimensional Elliptical Factor Analytics
Description: We introduce a multi-study high-dimensional factor analysis toolbox 'MultiEFM' based on the elliptical factor model framework, which learns latent heterogeneous features and accounts for cross-study variation among sources. It provides robust estimation algorithms for heterogeneous datasets, particularly tailored for multi-study RNA sequencing arrays and complex spatial multi-omics layers. The package implements highly efficient initialization strategies, identifiability constraints alignment, and computationally scalable parameter estimation paradigms.
Author: Ruihan Zhang [aut, cre], Wei Liu [aut]
Maintainer: Ruihan Zhang <ruihanzhang6166@gmail.com>

Diff between MultiEFM versions 0.1.3 dated 2026-07-28 and 0.1.4 dated 2026-08-04

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Package maq updated to version 0.6.1 with previous version 0.6.0 dated 2025-04-14

Title: Multi-Armed Qini
Description: Fits generalized Qini curves for evaluating treatment allocation policies with one or more mutually exclusive treatment arms. Given estimated conditional treatment effects and treatment costs, 'maq' computes the optimal treatment allocation over a range of budget levels and estimates the resulting policy value using doubly robust or inverse-propensity weighted scores. The underlying optimization exploits the linear multiple-choice knapsack structure of the allocation problem to compute the full solution path efficiently. For details see Sverdrup, Wu, Athey, and Wager (2025) <doi:10.1080/10618600.2024.2418820>.
Author: Erik Sverdrup [aut, cre], Han Wu [aut], Susan Athey [aut], Stefan Wager [aut]
Maintainer: Erik Sverdrup <erik.sverdrup@gmail.com>

Diff between maq versions 0.6.0 dated 2025-04-14 and 0.6.1 dated 2026-08-04

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Package ks updated to version 1.15.3 with previous version 1.15.2 dated 2026-05-09

Title: Kernel Smoothing
Description: Kernel smoothers for univariate and multivariate data, with comprehensive visualisation and bandwidth selection capabilities, including for densities, density derivatives, cumulative distributions, clustering, classification, density ridges, significant modal regions, and two-sample hypothesis tests. Chacon & Duong (2018) <doi:10.1201/9780429485572>.
Author: Tarn Duong [aut, cre] , Matt Wand [ctb] , Jose Chacon [ctb] , Artur Gramacki [ctb]
Maintainer: Tarn Duong <tarn.duong@gmail.com>

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Package fipp readmission to version 1.0.1 with previous version 1.0.0 dated 2021-02-11

Title: Induced Priors in Bayesian Mixture Models
Description: Computes implicitly induced quantities from prior/hyperparameter specifications of three Mixtures of Finite Mixtures models: Dirichlet Process Mixtures (DPMs; Escobar and West (1995) <doi:10.1080/01621459.1995.10476550>), Static Mixtures of Finite Mixtures (Static MFMs; Miller and Harrison (2018) <doi:10.1080/01621459.2016.1255636>), and Dynamic Mixtures of Finite Mixtures (Dynamic MFMs; Frühwirth-Schnatter, Malsiner-Walli and Grün (2021) <doi:10.1214/21-ba1294>). For methodological details, please refer to Greve, Grün, Malsiner-Walli and Frühwirth-Schnatter (2022) <doi:10.1111/anzs.12350>) as well as the package vignette.
Author: Jan Greve [aut, cre], Bettina Gruen [ctb] , Gertraud Malsiner-Walli [ctb] , Sylvia Fruehwirth-Schnatter [ctb]
Maintainer: Jan Greve <jangre@uio.no>

This is a re-admission after prior archival of version 1.0.0 dated 2021-02-11

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Package FinancialInstrument readmission to version 1.4.1 with previous version 1.3.1 dated 2018-01-10

Title: Financial Instrument Modeling Infrastructure
Description: Provides infrastructure for defining, storing, and managing financial instrument metadata independently of market data sources. Models instrument identities, contract specifications, identifiers, and relationships among financial instruments, including currencies, equities, funds, bonds, futures, options, spreads, exchange rates, and synthetic instruments. Supports reusable instrument definitions for research, portfolio management, trading, and quantitative finance applications.
Author: Peter Carl [aut], Brian G. Peterson [aut], Garrett See [aut], Ross Bennett [aut], Justin M. Shea [cre, ctb]
Maintainer: Justin M. Shea <jshea01@uic.edu>

This is a re-admission after prior archival of version 1.3.1 dated 2018-01-10

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Package nat updated to version 1.8.26 with previous version 1.8.25 dated 2025-08-18

Title: NeuroAnatomy Toolbox for Analysis of 3D Image Data
Description: NeuroAnatomy Toolbox (nat) enables analysis and visualisation of 3D biological image data, especially traced neurons. Reads and writes 3D images in NRRD and 'Amira' AmiraMesh formats and reads surfaces in 'Amira' hxsurf format. Traced neurons can be imported from and written to SWC and 'Amira' LineSet and SkeletonGraph formats. These data can then be visualised in 3D via 'rgl', manipulated including applying calculated registrations, e.g. using the 'CMTK' registration suite, and analysed. There is also a simple representation for neurons that have been subjected to 3D skeletonisation but not formally traced; this allows morphological comparison between neurons including searches and clustering (via the 'nat.nblast' extension package).
Author: Gregory Jefferis [aut, cre] , James Manton [aut] , Dominik Krzeminski [ctb]
Maintainer: Gregory Jefferis <jefferis@gmail.com>

Diff between nat versions 1.8.25 dated 2025-08-18 and 1.8.26 dated 2026-08-04

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Package strucchange updated to version 1.6-0 with previous version 1.5-4 dated 2024-09-02

Title: Testing, Monitoring, and Dating Structural Changes
Description: Testing, monitoring and dating structural changes in (linear) regression models. strucchange features tests/methods from the generalized fluctuation test framework as well as from the F test (Chow test) framework. This includes methods to fit, plot and test fluctuation processes (e.g., CUSUM, MOSUM, recursive/moving estimates) and F statistics, respectively. It is possible to monitor incoming data online using fluctuation processes. Finally, the breakpoints in regression models with structural changes can be estimated together with confidence intervals. Emphasis is always given to methods for visualizing the data.
Author: Achim Zeileis [aut, cre] , Friedrich Leisch [aut] , Kurt Hornik [aut] , Christian Kleiber [aut] , Bruce E. Hansen [ctb], Edgar C. Merkle [ctb] , Nikolaus Umlauf [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between strucchange versions 1.5-4 dated 2024-09-02 and 1.6-0 dated 2026-08-04

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More information about strucchange at CRAN
Permanent link

Package stringmagic updated to version 1.3.0 with previous version 1.2.0 dated 2025-04-18

Title: Character String Operations and Interpolation, Magic Edition
Description: Performs complex string operations compactly and efficiently. Supports string interpolation jointly with over 50 string operations. Also enhances regular string functions (like grep() and co). See an introduction at <https://lrberge.github.io/stringmagic/>.
Author: Laurent R Berge [aut, cre] , Morgan Jacob [ctb]
Maintainer: Laurent R Berge <laurent.berge@u-bordeaux.fr>

Diff between stringmagic versions 1.2.0 dated 2025-04-18 and 1.3.0 dated 2026-08-04

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Permanent link

Package stringfish updated to version 0.19.2 with previous version 0.19.0 dated 2026-04-21

Title: Alt String Implementation
Description: Provides an extendable, performant and multithreaded 'alt-string' implementation backed by 'C++' vectors and strings.
Author: Travers Ching [aut, cre, cph], Phillip Hazel [ctb] , Zoltan Herczeg [ctb, cph] , University of Cambridge [cph] , Tilera Corporation [cph] , Yann Collet [ctb, cph] , Martin Leitner-Ankerl [ctb, cph]
Maintainer: Travers Ching <traversc@gmail.com>

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Package ssddata updated to version 2.0.0 with previous version 1.0.0 dated 2021-11-05

Title: Species Sensitivity Distribution Data
Description: Reference data sets of species sensitivities to compare the results of fitting species sensitivity distributions using software such as 'ssdtools' and 'Burrlioz'. It consists of curated data sets for individual chemicals from Australian, New Zealand and Canadian organizations, several data sets from anonymous sources, and larger uncurated compilations drawn from the ANZTOX, WQBench and EnviroTox databases. It also includes a data set of the results of fitting various distributions using different software.
Author: Rebecca Fisher [aut, cre], Joe Thorley [aut] , Ayla Pearson [aut] , Carl Schwarz [ctb], David Fox [ctb]
Maintainer: Rebecca Fisher <R.Fisher@aims.gov.au>

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Package RNetCDF updated to version 2.11-2 with previous version 2.11-1 dated 2025-04-30

Title: Interface to 'NetCDF' Datasets
Description: An interface to the 'NetCDF' file formats designed by Unidata for efficient storage of array-oriented scientific data and descriptions. Most capabilities of 'NetCDF' version 4 are supported. Optional conversions of time units are enabled by 'UDUNITS' version 2, also from Unidata.
Author: Pavel Michna [aut], Milton Woods [aut, cre]
Maintainer: Milton Woods <miltonjwoods@gmail.com>

Diff between RNetCDF versions 2.11-1 dated 2025-04-30 and 2.11-2 dated 2026-08-04

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More information about RNetCDF at CRAN
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Package policytree updated to version 1.2.5 with previous version 1.2.4 dated 2026-02-18

Title: Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees
Description: Learn optimal policies via doubly robust empirical welfare maximization over trees. Given reward estimates, the algorithm finds a rule-based treatment allocation, where the policy takes the form of a shallow decision tree that is globally optimal (or nearly so). Methods are described in Sverdrup, Kanodia, Zhou, Athey, and Wager (2020) <doi:10.21105/joss.02232>, Athey and Wager (2021) <doi:10.3982/ECTA15732>, and Zhou, Athey, and Wager (2023) <doi:10.1287/opre.2022.2271>.
Author: Erik Sverdrup [aut, cre], Ayush Kanodia [aut], Zhengyuan Zhou [aut], Susan Athey [aut], Stefan Wager [aut]
Maintainer: Erik Sverdrup <erik.sverdrup@gmail.com>

Diff between policytree versions 1.2.4 dated 2026-02-18 and 1.2.5 dated 2026-08-04

 DESCRIPTION               |   24 ++++++++++++++----------
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Package MD2sample updated to version 1.3.0 with previous version 1.2.2 dated 2026-06-25

Title: Various Methods for the Two Sample Problem in D>1 Dimensions
Description: The routine twosample_test() in this package runs the two-sample test using various test statistic for multivariate data. The user can also run several tests and then find a p value adjusted for simultaneous inference. The p values are found via permutation or via the parametric bootstrap. The routine twosample_power() allows the estimation of the power of the tests. The routine run.studies() allows a user to quickly study the power of a new method and how it compares to those included in the package. For details of the methods and references see the included vignettes.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

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Package huge updated to version 2.0.1 with previous version 2.0.0 dated 2026-07-26

Title: High-Dimensional Undirected Graph Estimation
Description: Provides a general framework for high-dimensional undirected graph estimation. It integrates data preprocessing, neighborhood screening, graph estimation, and model selection techniques into a pipeline. In preprocessing stage, the nonparanormal(npn) transformation is applied to help relax the normality assumption. In the graph estimation stage, the graph structure is estimated by Meinshausen-Buhlmann graph estimation, the graphical lasso, or the TIGER (tuning-insensitive graph estimation and regression) method, and the first two can be further accelerated by the lossy screening rule preselecting the neighborhood of each variable by correlation thresholding. We target on high-dimensional data analysis usually d >> n, and the computation is memory-optimized using the sparse matrix output. We also provide a computationally efficient approach, correlation thresholding graph estimation. Three regularization/thresholding parameter selection methods are included in this package: (1)stab [...truncated...]
Author: Haoming Jiang [aut], Xinyu Fei [aut], Han Liu [aut], Kathryn Roeder [aut], John Lafferty [aut], Larry Wasserman [aut], Xingguo Li [aut], Tuo Zhao [aut, cre]
Maintainer: Tuo Zhao <tourzhao@gatech.edu>

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Package ggm updated to version 2.5.4 with previous version 2.5.2 dated 2025-07-25

Title: Graphical Markov Models with Mixed Graphs
Description: Provides functions for defining mixed graphs containing three types of edges, directed, undirected and bi-directed, with possibly multiple edges. These graphs are useful because they capture fundamental independence structures in multivariate distributions and in the induced distributions after marginalization and conditioning. The package is especially concerned with Gaussian graphical models for (i) ML estimation for directed acyclic graphs, undirected and bi-directed graphs and ancestral graph models (ii) testing several conditional independencies (iii) checking global identification of DAG Gaussian models with one latent variable (iv) testing Markov equivalences and generating Markov equivalent graphs of specific types.
Author: Giovanni M. Marchetti [aut, cre] , Mathias Drton [aut] , Kayvan Sadeghi [aut]
Maintainer: Giovanni M. Marchetti <giovanni.marchetti@unifi.it>

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Package D4TAlink.light updated to version 2.1.23 with previous version 2.1.22 dated 2026-07-21

Title: GDP - Workflow Management
Description: Tools, methods and processes for the management of analysis workflows. These lightweight solutions facilitate structuring R&D activities. These solutions were developed to comply with Good Documentation Practice (GDP), with ALCOA+ principles as proposed by the U.S. FDA, and with FAIR principles as discussed by Jacobsen et al. (2017) <doi:10.1162/dint_r_00024>.
Author: Gregoire Thomas [aut, cre, cph] , Metabolomic Diagnostics Ltd. [fnd]
Maintainer: Gregoire Thomas <gregoire.thomas@SQU4RE.com>

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Package brazilmaps readmission to version 1.0.0 with previous version 0.1.0 dated 2017-09-21

Title: Brazilian Maps from Different Geographic Levels
Description: Provides simplified Brazilian territorial meshes derived from official data published by the Brazilian Institute of Geography and Statistics (IBGE) <https://www.ibge.gov.br/> as local spatial objects, with no download required at use time. Municipal meshes cover selected official editions from 2000 onwards whenever the number of municipalities changes, and current meshes are available for states, regions and other geographic levels. Convenience functions support filtering, joining and plotting the maps, as well as consulting Brazilian territorial codes.
Author: Renato Prado Siqueira [aut, cre]
Maintainer: Renato Prado Siqueira <rpradosiqueira@gmail.com>

This is a re-admission after prior archival of version 0.1.0 dated 2017-09-21

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Package RSDC updated to version 1.7-0 with previous version 1.1-2 dated 2025-09-03

Title: Regime-Switching Dynamic Correlation Models
Description: Estimation, forecasting, simulation, and portfolio construction for regime-switching models with exogenous variables as in Pelletier (2006) <doi:10.1016/j.jeconom.2005.01.013>.
Author: David Ardia [aut, cre, cph, fnd] , Benjamin Seguin [aut], Roosevelt Ymele Nguemo [aut]
Maintainer: David Ardia <david.ardia.ch@gmail.com>

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Package psychonetrics updated to version 0.17.8 with previous version 0.16.9 dated 2026-07-16

Title: Structural Equation Modeling and Confirmatory Network Analysis
Description: Multi-group (dynamical) structural equation models in combination with confirmatory network models from cross-sectional, time-series and panel data <doi:10.31234/osf.io/8ha93>. Allows for confirmatory testing and fit as well as exploratory model search.
Author: Sacha Epskamp [aut, cre]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package EBASS readmission to version 0.1.1 with previous version 0.1 dated 2016-10-02

Title: Expected Value of Information Based Sample Size Calculation
Description: Computes sample sizes for trial-based cost-effectiveness analyses using the expected value of information. The implementation follows the method described by Bader et al. (2018) <doi:10.1186/s12874-018-0571-1>.
Author: Audrey Cordon [aut, cre], Clement Bader [ctb], Morgane Donadel [ctb], Aline Maillard [ctb], Sebastien Cossin [ctb], Mohamedou Sow [ctb], Antoine Benard [ctb]
Maintainer: Audrey Cordon <audrey.cordon@chu-bordeaux.fr>

This is a re-admission after prior archival of version 0.1 dated 2016-10-02

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Package twinsvm readmission to version 0.0.4 with previous version 0.0.2 dated 2026-06-09

Title: Twin Support Vector Machines
Description: Provides twin support vector machine classifiers and visualization tools for small to moderate classification problems. Includes one-vs-one multi-class classification and a standard support vector machine baseline for comparison.
Author: Shamika Tissera [aut, cre]
Maintainer: Shamika Tissera <nimeshshamika@gmail.com>

This is a re-admission after prior archival of version 0.0.2 dated 2026-06-09

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Package spCF updated to version 0.2.0 with previous version 0.1.2 dated 2026-06-29

Title: Coarse-to-Fine Spatial and Spatio-Temporal Modeling
Description: Provides functions for coarse-to-fine spatial and spatio-temporal modeling, enabling fast prediction, regression, and uncertainty quantification for moderate to large datasets. For methodological details, see Murakami et al. (2026) <doi:10.1111/gean.70034> and related work on generalized linear, downscaling, and dynamic spatio-temporal extensions.
Author: Daisuke Murakami [aut, cre], Alexis Comber [aut], Takahiro Yoshida [aut], Narumasa Tsutsumida [aut], Chris Brunsdon [aut], Tomoki Nakaya [aut], Jose Luis Blanco-Claraco [ctb, cph] ), Marius Muja [cph] , David G. Lowe [cph]
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>

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Package rcontroll readmission to version 0.1.3 with previous version 0.1.2 dated 2024-09-30

Title: Individual-Based Forest Growth Simulator 'TROLL'
Description: 'TROLL' is coded in C++ and it typically simulates hundreds of thousands of individuals over hundreds of years. The 'rcontroll' R package is a wrapper of 'TROLL'. 'rcontroll' includes functions that generate inputs for simulations and run simulations. Finally, it is possible to analyse the 'TROLL' outputs through tables, figures, and maps taking advantage of other R visualisation packages. 'rcontroll' also offers the possibility to generate a virtual LiDAR point cloud that corresponds to a snapshot of the simulated forest.
Author: Sylvain Schmitt [aut, cre] , Guillaume Salzet [aut] , Fabian Fischer [aut] , Isabelle Marechaux [aut] , Jerome Chave [aut]
Maintainer: Sylvain Schmitt <sylvain.m.schmitt@gmail.com>

This is a re-admission after prior archival of version 0.1.2 dated 2024-09-30

Diff between rcontroll versions 0.1.2 dated 2024-09-30 and 0.1.3 dated 2026-08-04

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Package npwbs updated to version 0.5.0 with previous version 0.4.0 dated 2026-07-28

Title: Nonparametric Multiple Change Point Detection Using Wild Binary Segmentation
Description: Implements nonparametric multiple change-point detection for univariate sequences using Wild Binary Segmentation, as described in Ross (2026) "Nonparametric Detection of Multiple Location-Scale Change Points via Wild Binary Segmentation" <doi:10.48550/arXiv.2107.01742>. The package provides Mann--Whitney, Mood, Lepage, Cramér--von Mises, modified Baumgartner, and standardised Zhang Z_C rank-based statistics, together with method-specific thresholds for controlling the probability of incorrectly detecting a change point in a homogeneous sequence.
Author: Gordon J. Ross [aut, cre]
Maintainer: Gordon J. Ross <gordon.ross@ed.ac.uk>

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Package KernelICA readmission to version 2.0.0 with previous version 0.1.0 dated 2021-03-01

Title: Kernel Independent Component Analysis
Description: The kernel independent component analysis (kernel ICA) method introduced by Bach and Jordan (2002) <doi:10.1162/153244303768966085>. A separate function for the incomplete Cholesky decomposition used in kernel ICA is also provided.
Author: Christoph L. Koesner [aut] , Juho Eagling [aut] , Klaus Nordhausen [aut, cre]
Maintainer: Klaus Nordhausen <klausnordhausenR@gmail.com>

This is a re-admission after prior archival of version 0.1.0 dated 2021-03-01

Diff between KernelICA versions 0.1.0 dated 2021-03-01 and 2.0.0 dated 2026-08-04

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Package ftsspec readmission to version 1.0.1 with previous version 1.0.0 dated 2015-09-08

Title: Spectral Density Estimation and Comparison for Functional Time Series
Description: Functions for estimating spectral density operator of functional time series (FTS) and comparing the spectral density operator of two functional time series, in a way that allows detection of differences of the spectral density operator in frequencies and along the curve length. A description of the implemented tests can be found in the paper Tavakoli & Panaretos (2016) <doi:10.1080/01621459.2016.1147355>.
Author: Shahin Tavakoli [aut, cre]
Maintainer: Shahin Tavakoli <shahin.tavakoli@unige.ch>

This is a re-admission after prior archival of version 1.0.0 dated 2015-09-08

Diff between ftsspec versions 1.0.0 dated 2015-09-08 and 1.0.1 dated 2026-08-04

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Package BIDistances updated to version 0.1.5 with previous version 0.1.3 dated 2025-05-10

Title: Bioinformatic Distances
Description: A collection of high-performance methods for computing distance measures for bioinformatics data. The weighted Euclidean distance can be computed using 'OpenCL' on a GPU or a parallelized implementation on a CPU. Other important distance measures for bioinformatics data are provided by the R package 'parallelDist'. A specialized distance measure for the Gene Ontology is also available.
Author: Quirin Stier [aut, rev, ctb] , Michael Thrun [aut, cre] , Luca Brinkmann [ctb]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Package secrfunc updated to version 1.1.4 with previous version 1.0.0 dated 2025-12-01

Title: Helper Functions for Package 'secr'
Description: Functions are provided for internal use by the spatial capture-recapture package 'secr' (from version 5.4.0). The idea is to speed up the installation of 'secr', and possibly reduce its size. Initially the functions are those for area and transect search that use numerical integration code from 'RcppNumerical' and 'RcppEigen'. The functions are not intended to be user-friendly and require considerable preprocessing of data.
Author: Murray Efford [aut, cre] , Philipp Jund [ctb] )
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

Diff between secrfunc versions 1.0.0 dated 2025-12-01 and 1.1.4 dated 2026-08-04

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Package vcfppR updated to version 0.8.4 with previous version 0.8.3 dated 2026-03-31

Title: Rapid Manipulation of the Variant Call Format (VCF)
Description: The 'vcfpp.h' (<https://github.com/Zilong-Li/vcfpp>) provides an easy-to-use 'C++' 'API' of 'htslib', offering full functionality for manipulating Variant Call Format (VCF) files. The 'vcfppR' package serves as the R bindings of the 'vcfpp.h' library, enabling rapid processing of both compressed and uncompressed VCF files. Explore a range of powerful features for efficient VCF data manipulation.
Author: Zilong Li [aut, cre] , Bonfield, James K and Marshall, John and Danecek, Petr and Li, Heng and Ohan, Valeriu and Whitwham, Andrew and Keane, Thomas and Davies, Robert M [cph]
Maintainer: Zilong Li <zilong.dk@gmail.com>

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Package inferencer updated to version 0.2.0 with previous version 0.1.4.5 dated 2026-07-10

Title: Simple Unified Wrappers for Hosted Foundation Model Inference APIs
Description: Provides lightweight R wrappers for querying and listing models from several hosted foundation model inference platforms, currently including 'OpenAI' <https://developers.openai.com/api/docs/>, 'Google Gemini' <https://ai.google.dev/gemini-api/docs>, 'Groq' <https://console.groq.com/docs/>, 'OpenRouter' <https://openrouter.ai/docs/>, 'Cerebras' <https://inference-docs.cerebras.ai/>, and 'Ollama Cloud' <https://docs.ollama.com/cloud>. The package is designed for simple inference workflows and quick experimentation, with minimal abstraction and a consistent interface across providers. It includes helper functions for model discovery, text generation, embeddings, image generation, and multimodal inputs, while leaving room for future support of provider-specific parameters and advanced options.
Author: Oliver Zhou [aut, cre]
Maintainer: Oliver Zhou <oliver.yxzhou@gmail.com>

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Mon, 03 Aug 2026

Package Epi updated to version 2.66 with previous version 2.65 dated 2026-04-15

Title: Statistical Analysis in Epidemiology
Description: Functions for demographic and epidemiological analysis in the Lexis diagram, i.e. register and cohort follow-up data. In particular representation, manipulation, rate estimation and simulation for multistate data - the Lexis suite of functions, which includes interfaces to 'mstate', 'etm' and 'cmprsk' packages. Contains functions for Age-Period-Cohort and Lee-Carter modeling and a function for interval censored data. Has functions for extracting and manipulating parameter estimates and predicted values (ci.lin and its cousins), as well as a number of epidemiological data sets.
Author: Bendix Carstensen [aut, cre], Martyn Plummer [aut], Esa Laara [ctb], Michael Hills [ctb]
Maintainer: Bendix Carstensen <b@bxc.dk>

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Package bgms updated to version 0.2.0.0 with previous version 0.1.6.3 dated 2026-02-14

Title: Bayesian Analysis of Graphical Models
Description: Bayesian estimation and edge selection for graphical models of mixed binary, ordinal, and continuous variables. The variable types determine the model: an ordinal Markov random field for discrete data, a Gaussian graphical model for continuous data, or a mixed Markov random field combining both. Edge inclusion is determined through spike-and-slab priors, yielding posterior inclusion probabilities for each edge. Supports multi-group comparison via 'bgmCompare()', simulation, prediction, and missing data imputation.
Author: Maarten Marsman [aut, cre] , Don van den Bergh [aut] , Nikola Sekulovski [ctb] , Giuseppe Arena [ctb] , Laura Groot [ctb], Gali Geller [ctb]
Maintainer: Maarten Marsman <m.marsman@uva.nl>

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Package RPesto updated to version 0.1.5 with previous version 0.1.4 dated 2025-11-26

Title: Phylogenetic Estimation of Shifts in the Tempo of Origination
Description: Implements diversification analyses using the phylogenetic birth-death-shift model. It leverages belief propagation techniques to calculate branch-specific diversification rates, see Kopperud & Hoehna (2025) <doi:10.1093/sysbio/syaf041>.
Author: Bjoern Tore Kopperud [aut, cre], Sebastian Hoehna [aut]
Maintainer: Bjoern Tore Kopperud <kopperud@protonmail.com>

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Package MDgof updated to version 1.1.0 with previous version 1.0.2 dated 2026-06-25

Title: Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions
Description: The routine gof_test() in this package runs the goodness-of-fit test using various test statistic for multivariate data. Models under the null hypothesis can either be simple or allow for parameter estimation. p values are found via the parametric bootstrap (simulation). The routine gof_test_adjusted_pvalues() runs several tests and then finds a p value adjusted for simultaneous inference. The routine gof_power() allows the estimation of the power of the tests. hybrid_test() and hybrid_power() do the same by first generating a Monte Carlo data set under the null hypothesis and then running a number of two-sample methods. The routine run.studies() allows a user to quickly study the power of a new method and how it compares to those included in the package via a large number of case studies. For details of the methods and references see the included vignettes.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

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Package bslib updated to version 0.12.0 with previous version 0.11.0 dated 2026-05-16

Title: Custom 'Bootstrap' 'Sass' Themes for 'shiny' and 'rmarkdown'
Description: Simplifies custom 'CSS' styling of both 'shiny' and 'rmarkdown' via 'Bootstrap' 'Sass'. Supports 'Bootstrap' 3, 4 and 5 as well as their various 'Bootswatch' themes. An interactive widget is also provided for previewing themes in real time.
Author: Carson Sievert [aut, cre] , Joe Cheng [aut], Garrick Aden-Buie [aut] , Posit Software, PBC [cph, fnd], Bootstrap contributors [ctb] , Twitter, Inc [cph] , Javi Aguilar [ctb, cph] , Thomas Park [ctb, cph] , PayPal [ctb, cph]
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Package AddiVortes updated to version 0.6.9 with previous version 0.6.8 dated 2026-07-30

Title: (Bayesian) Additive Voronoi Tessellations
Description: Implements the Bayesian Additive Voronoi Tessellation model for non-parametric regression and machine learning as introduced in Stone and Gosling (2025) <doi:10.1080/10618600.2024.2414104>. This package provides a flexible alternative to BART (Bayesian Additive Regression Trees) using Voronoi tessellations instead of trees. Users can fit Bayesian regression models (estimating the associated posterior distributions and make predictions. It is particularly useful for spatial data analysis, machine learning regression, complex function approximation and Bayesian modeling where the underlying structure is unknown. The method is well-suited to capturing spatial patterns and non-linear relationships.
Author: Adam Stone [aut] , John Paul Gosling [aut, cre] , Andrew Iskauskas [aut]
Maintainer: John Paul Gosling <john-paul.gosling@durham.ac.uk>

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Package Rhpc updated to version 0.26.5 with previous version 0.26.4 dated 2026-07-21

Title: Apply-Style Dispatch for High-Performance Computing
Description: Provides apply-style functions using the Message Passing Interface ('MPI') to improve the High-Performance Computing ('HPC') environment in R. The package supports long vectors and efficient handling of large datasets for MPI-based parallel computations.
Author: Ei-ji Nakama [aut, cre], Junji NAKANO [aut]
Maintainer: Ei-ji Nakama <nakama@ki.rim.or.jp>

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Package resourcecode updated to version 0.5.5 with previous version 0.5.4 dated 2026-05-07

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

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Package renv updated to version 1.2.4 with previous version 1.2.3 dated 2026-05-16

Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre] , Hadley Wickham [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between renv versions 1.2.3 dated 2026-05-16 and 1.2.4 dated 2026-08-03

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More information about renv at CRAN
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Package NNS updated to version 13.2 with previous version 13.1 dated 2026-07-16

Title: Nonlinear Nonparametric Statistics
Description: NNS (Nonlinear Nonparametric Statistics) leverages partial moments – the fundamental elements of variance that asymptotically approximate the area under f(x) – to provide a robust foundation for nonlinear analysis while maintaining linear equivalences. Designed for real-world data that violates symmetry, linearity, or distributional assumptions, NNS delivers a comprehensive suite of advanced statistical techniques, including: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization, Stochastic superiority / dominance and Advanced Monte Carlo sampling. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995, Second edition: <https://ovvo-financial.github.io/NNS/book/>).
Author: Fred Viole [aut, cre], Roberto Spadim [ctb], Rasheed Khoshnaw [ctb]
Maintainer: Fred Viole <ovvo.open.source@gmail.com>

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Package BCT readmission to version 1.3 with previous version 1.2 dated 2022-05-12

Title: Bayesian Context Trees for Discrete Time Series
Description: An implementation of a collection of tools for exact Bayesian inference with discrete times series. This package contains functions that can be used for prediction, model selection, estimation, segmentation/change-point detection and other statistical tasks. Specifically, the functions provided can be used for the exact computation of the prior predictive likelihood of the data, for the identification of the a posteriori most likely (MAP) variable-memory Markov models, for calculating the exact posterior probabilities and the AIC and BIC scores of these models, for prediction with respect to log-loss and 0-1 loss and segmentation/change-point detection. Example data sets from finance, genetics, animal communication and meteorology are also provided. Detailed descriptions of the underlying theory and algorithms can be found in [Kontoyiannis et al. 'Bayesian Context Trees: Modelling and exact inference for discrete time series.' Journal of the Royal Statistical Society: Series B (Statist [...truncated...]
Author: Ioannis Papageorgiou [aut], Valentinian Mihai Lungu [aut, cre], Ioannis Kontoyiannis [aut]
Maintainer: Valentinian Mihai Lungu <valentinian.mihai@gmail.com>

This is a re-admission after prior archival of version 1.2 dated 2022-05-12

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Package trajeR updated to version 1.0 with previous version 0.11.1 dated 2025-05-21

Title: Group Based Modeling Trajectory
Description: Estimation of group-based trajectory models, including finite mixture models for longitudinal data, supporting censored normal, zero-inflated Poisson, logit, and beta distributions, using expectation-maximization and quasi-Newton methods, with tools for model selection, diagnostics, and visualization of latent trajectory groups, <doi:10.4159/9780674041318>, Nagin, D. (2005). Group-Based Modeling of Development. Cambridge, MA: Harvard University Press. and Noel (2022), <https://orbilu.uni.lu/>, thesis.
Author: Cedric Noel [aut, cre], Jang Schiltz [aut]
Maintainer: Cedric Noel <cedric.noel@univ-lorraine.fr>

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Package ribd updated to version 1.7.2 with previous version 1.7.1 dated 2025-02-08

Title: Pedigree-based Relatedness Coefficients
Description: Recursive algorithms for computing various relatedness coefficients, including pairwise kinship, kappa and identity coefficients. Both autosomal and X-linked coefficients are computed. Founders are allowed to be inbred, which enables construction of any given kappa coefficients, as described in Vigeland (2020) <doi:10.1007/s00285-020-01505-x>. In addition to the standard coefficients, 'ribd' also computes a range of lesser-known coefficients, including generalised kinship coefficients, multi-person coefficients and two-locus coefficients (Vigeland, 2023, <doi:10.1093/g3journal/jkac326>). Many features of 'ribd' are available through the online app 'QuickPed' at <https://magnusdv.shinyapps.io/quickped>; see Vigeland (2022) <doi:10.1186/s12859-022-04759-y>.
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between ribd versions 1.7.1 dated 2025-02-08 and 1.7.2 dated 2026-08-03

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Permanent link

Package ICEHmeasures updated to version 2.0.0 with previous version 1.1.0 dated 2026-04-16

Title: The Equiplot Graph and Complex Inequality Measures
Description: Generates the equiplot, an iconic dot-plot graph for visualizing inequalities, as well as three complex inequality measures: the slope index of inequality, the concentration index and the mean absolute difference to the mean. For more details see World Health Organization (2013) <https://www.who.int/docs/default-source/gho-documents/health-equity/handbook-on-health-inequality-monitoring/handbook-on-health-inequality-monitoring.pdf>.
Author: Leonardo Ferreira [aut, cre], Luisa Arroyave [aut]
Maintainer: Leonardo Ferreira <lferreira@equidade.org>

Diff between ICEHmeasures versions 1.1.0 dated 2026-04-16 and 2.0.0 dated 2026-08-03

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Permanent link

Package hydroloom updated to version 1.2.1 with previous version 1.2.0 dated 2026-05-23

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 1.2.0 dated 2026-05-23 and 1.2.1 dated 2026-08-03

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Permanent link

Package autodb updated to version 3.3.0 with previous version 3.2.4 dated 2025-11-17

Title: Automatic Database Normalisation for Data Frames
Description: Automatic normalisation of a data frame to third normal form, with the intention of easing the process of data cleaning. (Usage to design your actual database for you is not advised.) Originally inspired by the 'AutoNormalize' library for 'Python' by 'Alteryx' (<https://github.com/alteryx/autonormalize>), with various changes and improvements. Automatic discovery of functional or approximate dependencies, normalisation based on those, and plotting of the resulting "database" via 'Graphviz', with options to exclude some attributes at discovery time, or remove discovered dependencies at normalisation time.
Author: Mark Webster [aut, cre]
Maintainer: Mark Webster <markwebster204@yahoo.co.uk>

Diff between autodb versions 3.2.4 dated 2025-11-17 and 3.3.0 dated 2026-08-03

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More information about autodb at CRAN
Permanent link

Package whisper updated to version 0.5.1 with previous version 0.4.0 dated 2026-06-19

Title: Native R 'torch' Implementation of 'OpenAI' 'Whisper'
Description: Speech-to-text transcription using a native R 'torch' implementation of 'OpenAI' 'Whisper' model <https://github.com/openai/whisper>. Supports multiple model sizes from tiny (39M parameters) to large-v3 (1.5B parameters) with integrated download from 'HuggingFace' <https://huggingface.co/> via the 'hfhub' package. Provides automatic speech recognition with optional language detection and translation to English. Audio preprocessing, mel spectrogram computation, and transformer-based encoder-decoder inference are all implemented in R using the 'torch' package.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph], OpenAI [cph] )
Maintainer: Troy Hernandez <troy@cornball.ai>

Diff between whisper versions 0.4.0 dated 2026-06-19 and 0.5.1 dated 2026-08-03

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More information about whisper at CRAN
Permanent link

Package WeightIt updated to version 2.0.0 with previous version 1.7.0 dated 2026-04-22

Title: Weighting for Covariate Balance in Observational Studies
Description: Generates balancing weights for causal effect estimation in observational studies with binary, multi-category, or continuous point or longitudinal treatments by easing and extending the functionality of several R packages and providing in-house estimation methods. Available methods include those that rely on parametric modeling, optimization, and machine learning. Also allows for assessment of weights and checking of covariate balance by interfacing directly with the 'cobalt' package. Methods for estimating weighted regression models that take into account uncertainty in the estimation of the weights via M-estimation or bootstrapping are available. See the vignette "Installing Supporting Packages" for instructions on how to install any optional package 'WeightIt' uses, including those that may not be on CRAN.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

Diff between WeightIt versions 1.7.0 dated 2026-04-22 and 2.0.0 dated 2026-08-03

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More information about WeightIt at CRAN
Permanent link

Package vcdExtra updated to version 0.9.7 with previous version 0.9.6 dated 2026-06-07

Title: 'vcd' Extensions and Additions
Description: Provides additional data sets, methods and documentation to complement the 'vcd' package for Visualizing Categorical Data and the 'gnm' package for Generalized Nonlinear Models. In particular, 'vcdExtra' extends mosaic, assoc and sieve plots from 'vcd' to handle 'glm()' and 'gnm()' models and adds a 3D version in 'mosaic3d'. Additionally, methods are provided for comparing and visualizing lists of 'glm' and 'loglm' objects. This package is now a support package for the book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer.
Author: Michael Friendly [aut, cre] , David Meyer [ctb], Achim Zeileis [ctb] , Duncan Murdoch [ctb], Heather Turner [ctb] , David Firth [ctb], Daniel Sabanes Bove [ctb], Matt Kumar [ctb], Shuguang Sun [ctb], Gavin Klorfine [aut]
Maintainer: Michael Friendly <friendly@yorku.ca>

Diff between vcdExtra versions 0.9.6 dated 2026-06-07 and 0.9.7 dated 2026-08-03

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More information about vcdExtra at CRAN
Permanent link

Package OhdsiReportGenerator updated to version 2.3.1 with previous version 2.2.0 dated 2026-05-16

Title: Observational Health Data Sciences and Informatics Report Generator
Description: Extract results into R from the Observational Health Data Sciences and Informatics result database (see <https://ohdsi.github.io/Strategus/results-schema/index.html>) and generate reports/presentations via 'quarto' that summarize results in HTML format. Learn more about 'OhdsiReportGenerator' at <https://ohdsi.github.io/OhdsiReportGenerator/>.
Author: Jenna Reps [aut, cre], Anthony Sena [aut]
Maintainer: Jenna Reps <jreps@its.jnj.com>

Diff between OhdsiReportGenerator versions 2.2.0 dated 2026-05-16 and 2.3.1 dated 2026-08-03

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Package tidylearn updated to version 0.4.0 with previous version 0.3.1 dated 2026-05-19

Title: A Unified Tidy Interface to R's Machine Learning Ecosystem
Description: Provides a unified tidyverse-compatible interface to R's machine learning ecosystem - from data ingestion to model publishing. The tl_read() family reads data from files ('CSV', 'Excel', 'Parquet', 'JSON'), databases ('SQLite', 'PostgreSQL', 'MySQL', 'BigQuery'), and cloud sources ('S3', 'GitHub', 'Kaggle'). The tl_model() function wraps established implementations from 'glmnet', 'randomForest', 'xgboost', 'e1071', 'rpart', 'gbm', 'nnet', 'cluster', 'dbscan', and others with consistent function signatures and tidy tibble output. Results flow into unified 'ggplot2'-based visualization and optional formatted 'gt' tables via the tl_table() family. The underlying algorithms are unchanged; 'tidylearn' simply makes them easier to use together. Access raw model objects via the $fit slot for package-specific functionality. Methods include random forests Breiman (2001) <doi:10.1023/A:1010933404324>, LASSO regression Tibshirani (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x>, elastic [...truncated...]
Author: Cesaire Tobias [aut, cre]
Maintainer: Cesaire Tobias <cesaire@sheetsolved.com>

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Package spliv updated to version 0.2.1 with previous version 0.1.1 dated 2026-07-29

Title: Patterned Sensitivity Analysis for IV with Fixed Effects
Description: Patterned sensitivity analysis for instrumental-variables designs with fixed effects or other residualization steps. The package provides uniform Conley-style sensitivity as a baseline, researcher-specified direct-effect patterns, sensitivity paths and tipping points, and optional confirmatory Beyond Plausibly Exogenous diagnostics.
Author: Ore Koren [aut, cre]
Maintainer: Ore Koren <okoren@iu.edu>

Diff between spliv versions 0.1.1 dated 2026-07-29 and 0.2.1 dated 2026-08-03

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Package KLINK updated to version 1.2.2 with previous version 1.2.0 dated 2026-04-21

Title: Kinship Analysis with Linked Markers
Description: A 'shiny' application for forensic kinship testing, based on the 'pedsuite' R packages. 'KLINK' is closely aligned with the (non-R) software 'Familias' and 'FamLink', but offers several unique features, including visualisations and automated report generation. The calculation of likelihood ratios supports pairs of linked markers, and all common mutation models. The program is described in Vigeland and Gilfillan (2026) <doi:10.1016/j.fsigen.2026.103578>.
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package guideR updated to version 0.11.0 with previous version 0.10.0 dated 2026-07-27

Title: Miscellaneous Statistical Functions Used in 'guide-R'
Description: Companion package for the manual 'guide-R : Guide pour l’analyse de données d’enquêtes avec R' available at <https://larmarange.github.io/guide-R/>. 'guideR' implements miscellaneous functions introduced in 'guide-R' to facilitate statistical analysis and manipulation of survey data.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package epiR updated to version 2.0.96 with previous version 2.0.95 dated 2026-07-17

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] , Evan Sergeant [aut], Cord Heuer [ctb], Ian Kopacka [ctb], Klemens Fuchs [ctb], Telmo Nunes [ctb], Cord Heuer [ctb], Jonathon Marshall [ctb], Javier Sanchez [ctb], Ron Thornton [ctb], Jeno Reiczigel [ctb], Jim Robison-Cox [ [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

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Package xgxr updated to version 1.1.6 with previous version 1.1.2 dated 2023-03-22

Title: Exploratory Graphics for Pharmacometrics
Description: Supports a structured approach for exploring PKPD data <https://opensource.nibr.com/xgx/>. It also contains helper functions for enabling the modeler to follow best R practices (by appending the program name, figure name location, and draft status to each plot). In addition, it enables the modeler to follow best graphical practices (by providing a theme that reduces chart ink, and by providing time-scale, log-scale, and reverse-log-transform-scale functions for more readable axes). Finally, it provides some data checking and summarizing functions for rapidly exploring pharmacokinetics and pharmacodynamics (PKPD) datasets.
Author: Andrew Stein [aut, cre], Alison Margolskee [aut], Fariba Khanshan [aut], Konstantin Krismer [aut] , Matthew Fidler [ctb] , Novartis Pharma AG [cph, fnd]
Maintainer: Andrew Stein <andy.stein@gmail.com>

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Package tree updated to version 1.0-47 with previous version 1.0-46 dated 2026-07-20

Title: Classification and Regression Trees
Description: Classification and regression trees.
Author: Brian Ripley [aut, cre]
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

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Package quickcode updated to version 1.1.0 with previous version 1.0.9 dated 2026-04-04

Title: Quick and Essential 'R' Tricks for Better Scripts
Description: The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to improve your scripts. Improve the quality and reproducibility of 'R' scripts.
Author: Obinna Obianom [aut, cre], Brice Richard [aut]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

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Package mlr3spatiotempcv updated to version 2.3.5 with previous version 2.3.4 dated 2025-09-12

Title: Spatiotemporal Resampling Methods for 'mlr3'
Description: Extends the mlr3 machine learning framework with spatio-temporal resampling methods to account for the presence of spatiotemporal autocorrelation (STAC) in predictor variables. STAC may cause highly biased performance estimates in cross-validation if ignored. A JSS article is available at <doi:10.18637/jss.v111.i07>.
Author: Patrick Schratz [aut, cre] , Marc Becker [aut] , Jannes Muenchow [ctb] , Michel Lang [ctb]
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>

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Package gee updated to version 4.13-30 with previous version 4.13-29 dated 2024-12-11

Title: Generalized Estimation Equation Solver
Description: Generalized Estimation Equation solver.
Author: Vincent J Carey [aut], Thomas S Lumley [trl] , Cleve Moler [ctb] , Brian Ripley [trl, cre, ctb]
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

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Package sfsmisc updated to version 1.1-25 with previous version 1.1-24 dated 2026-05-15

Title: Utilities from 'Seminar fuer Statistik' ETH Zurich
Description: Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990s. For graphics, have pretty (Log-scale) axes eaxis(), an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().
Author: Martin Maechler [aut, cre] , Werner Stahel [ctb] , f.robftest, last, p.scales, p.dnorm), Andreas Ruckstuhl [ctb] , p.profileTraces, p.res.2x), Christian Keller [ctb] , p.tachoPlot), Kjetil Halvorsen [ctb] , ecdf.ksCI), Alain Hauser [ctb] , is.whole, [...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package hdd updated to version 0.1.2 with previous version 0.1.1 dated 2023-08-25

Title: Easy Manipulation of Out of Memory Data Sets
Description: Hard drive data: Class of data allowing the easy importation/manipulation of out of memory data sets. The data sets are located on disk but look like in-memory, the syntax for manipulation is similar to 'data.table'. Operations are performed "chunk-wise" behind the scene. See <https://lrberge.github.io/hdd/> for more information.
Author: Laurent Berge [aut, cre]
Maintainer: Laurent Berge <laurent.berge@u-bordeaux.fr>

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Package dispersionIndicators updated to version 0.1.6 with previous version 0.1.5 dated 2025-11-18

Title: Indicators for the Analysis of Dispersion of Datasets with Batched and Ordered Samples
Description: Provides methods for analyzing the dispersion of tabular datasets with batched and ordered samples. Based on convex hull or integrated covariance Mahalanobis, several indicators are implemented for inter and intra batch dispersion analysis. It is designed to facilitate robust statistical assessment of data variability, supporting applications in exploratory data analysis and quality control, for such datasets as the one found in metabololomics studies. For more details see Salanon (2024) <doi:10.1016/j.chemolab.2024.105148> and Salanon (2025) <doi:10.1101/2025.08.01.668073>.
Author: Brice Mulot [aut], Elfried Salanon [ctb], Etienne Jules [aut, cre], INRAE [cph]
Maintainer: Etienne Jules <etienne.jules@inrae.fr>

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Package sandwich updated to version 3.1-3 with previous version 3.1-2 dated 2026-07-12

Title: Robust Covariance Matrix Estimators
Description: Object-oriented software for model-robust covariance matrix estimators. Starting out from the basic robust Eicker-Huber-White sandwich covariance methods include: heteroscedasticity-consistent (HC) covariances for cross-section data; heteroscedasticity- and autocorrelation-consistent (HAC) covariances for time series data (such as Andrews' kernel HAC, Newey-West, and WEAVE estimators); clustered covariances (one-way and multi-way); panel and panel-corrected covariances; outer-product-of-gradients covariances; and (clustered) bootstrap covariances. All methods are applicable to (generalized) linear model objects fitted by lm() and glm() but can also be adapted to other classes through S3 methods. Details can be found in Zeileis et al. (2020) <doi:10.18637/jss.v095.i01>, Zeileis (2004) <doi:10.18637/jss.v011.i10> and Zeileis (2006) <doi:10.18637/jss.v016.i09>.
Author: Achim Zeileis [aut, cre] , Thomas Lumley [aut] , Nathaniel Graham [ctb] , Susanne Koell [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package gamm4 updated to version 0.3-0 with previous version 0.2-7 dated 2025-04-22

Title: Generalized Additive Mixed Models using 'mgcv' and 'lme4'
Description: Estimate generalized additive mixed models via a version of function gamm() from 'mgcv', using 'lme4' for estimation.
Author: Simon Wood [aut, cre], Fabian Scheipl [aut], Arno Schneuwly [aut]
Maintainer: Simon Wood <simon.wood@r-project.org>

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Package FESta updated to version 1.0.1 with previous version 1.0.0 dated 2020-05-11

Title: Fishing Effort Standardization
Description: Marine fisheries governance and management rely heavily on reliable indicators of stock abundance and fishing pressure to ensure the sustainable utilization of marine resources. Catch Per Unit Effort (CPUE) is widely used as an index of relative abundance, but direct comparison of catch rates is often affected by differences in fishing effort, vessel characteristics, gear efficiency, and operational practices. The FESta package provides methods for fishing effort and CPUE standardization, including vessel-based, gear-based, relative effort, derived effort, generalized linear models, generalized additive models, generalized linear mixed models, ordered quantile transformation models, and multi-gear standardization techniques for fisheries stock assessment and monitoring. To cite our package run this command, citation("FESta").
Author: Eldho Varghese [aut, cre], Jayasankar J [aut], Ashutosh Dalal [aut, ctb], Sathianandan T V [aut], Sreepriya V [aut, ctb], Reshma Gills [ctb], Grinson George [ctb]
Maintainer: Eldho Varghese <eldhoiasri@gmail.com>

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Package spatial updated to version 7.3-19 with previous version 7.3-18 dated 2025-01-01

Title: Functions for Kriging and Point Pattern Analysis
Description: Functions for kriging and point pattern analysis.
Author: Brian Ripley [aut, cre, cph], Roger Bivand [ctb], William Venables [cph]
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

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Package nnet updated to version 7.3-21 with previous version 7.3-20 dated 2025-01-01

Title: Feed-Forward Neural Networks and Multinomial Log-Linear Models
Description: Software for feed-forward neural networks with a single hidden layer, and for multinomial log-linear models.
Author: Brian Ripley [aut, cre, cph], William Venables [cph]
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

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Package class updated to version 7.3-24 with previous version 7.3-23 dated 2025-01-01

Title: Functions for Classification
Description: Various functions for classification, including k-nearest neighbour, Learning Vector Quantization and Self-Organizing Maps.
Author: Brian Ripley [aut, cre, cph], William Venables [cph]
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

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Package GPArotation updated to version 2026.8-1 with previous version 2026.7-1 dated 2026-07-28

Title: Gradient Projection Factor Rotation
Description: Gradient projection algorithms for orthogonal and oblique rotation of factor loadings matrices in factor analysis. Implements a comprehensive set of rotation criteria including quartimax, quartimin, oblimin, geomin, simplimax, the Crawford-Ferguson family, and target rotation, among others. Supports multiple random starts. For details see Bernaards and Jennrich (2005) <doi:10.1177/0013164404272507>.
Author: Coen Bernaards [aut, cre], Paul Gilbert [aut], Robert Jennrich [aut]
Maintainer: Coen Bernaards <cab.gparotation@gmail.com>

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Package bayesRecon updated to version 1.0.2 with previous version 1.0.1 dated 2026-04-16

Title: Probabilistic Reconciliation via Conditioning
Description: Provides methods for probabilistic reconciliation of hierarchical forecasts of time series. The available methods include analytical Gaussian reconciliation (Corani et al., 2021) <doi:10.1007/978-3-030-67664-3_13>, MCMC reconciliation of count time series (Corani et al., 2024) <doi:10.1016/j.ijforecast.2023.04.003>, Bottom-Up Importance Sampling (Zambon et al., 2024) <doi:10.1007/s11222-023-10343-y>, methods for the reconciliation of mixed hierarchies (Mix-Cond and TD-cond) (Zambon et al., 2024) <https://proceedings.mlr.press/v244/zambon24a.html>, analytical reconciliation with Bayesian treatment of the covariance matrix (Carrara et al., 2025) <doi: 10.48550/arXiv.2506.19554>.
Author: Dario Azzimonti [aut, cre] , Lorenzo Zambon [aut] , Stefano Damato [aut] , Nicolo Rubattu [aut] , Giorgio Corani [aut]
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>

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Package gconsensus updated to version 0.3.2.1 with previous version 0.3.2 dated 2022-11-04

Title: Consensus Value Constructor
Description: An implementation of the generalized consensus estimators used to assign the reference value in a key comparison exercise. This can also be applied to any interlaboratory study. Given a set of different sources, primary laboratories or measurement methods this package provides an evaluation of the variance components according to the selected statistical method for consensus building. It also implements the comparison among different consensus builders and evaluates the participating method or sources against the consensus reference value. Based on a diverse set of references, DerSimonian-Laird (1986) <doi:10.1016/0197-2456(86)90046-2>, for a complete list of references look at the reference section in the package documentation.
Author: Hugo Gasca-Aragon [aut, cre]
Maintainer: Hugo Gasca-Aragon <hugo_gasca_aragon@hotmail.com>

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Package psychotree updated to version 0.16-3 with previous version 0.16-2 dated 2025-07-25

Title: Recursive Partitioning Based on Psychometric Models
Description: Recursive partitioning based on psychometric models, employing the general MOB algorithm (from package partykit) to obtain Bradley-Terry trees, Rasch trees, rating scale and partial credit trees, and MPT trees, trees for 1PL, 2PL, 3PL and 4PL models and generalized partial credit models.
Author: Achim Zeileis [aut, cre] , Carolin Strobl [aut] , Florian Wickelmaier [aut], Basil Komboz [aut], Julia Kopf [aut], Lennart Schneider [aut] , David Dreifuss [aut], Rudolf Debelak [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package lessR updated to version 4.5.6 with previous version 4.5.5 dated 2026-06-21

Title: Less Code with More Comprehensive Results
Description: Each function replaces multiple standard R functions. For example, two function calls, Read() and CountAll(), generate summary statistics for all variables in the data frame, plus histograms and bar charts. Other functions provide data aggregation via pivot tables; comprehensive regression, ANOVA, and t-test; visualizations including integrated Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve; reading multiple data formats with the same call; variable labels; time series with aggregation and forecasting; color themes; and Trellis (facet) graphics. Also includes a confirmatory factor analysis of multiple-indicator measurement models, pedagogical routines for data simulation (e.g., Central Limit Theorem), generation and rendering of regression instructions for interpretative output, and both interactive construction of visualizations and interactive visualizations with plotly.
Author: David W. Gerbing [aut, cre]
Maintainer: David W. Gerbing <gerbing@pdx.edu>

Diff between lessR versions 4.5.5 dated 2026-06-21 and 4.5.6 dated 2026-08-03

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Package Formula updated to version 1.2-6 with previous version 1.2-5 dated 2023-02-24

Title: Extended Model Formulas
Description: Infrastructure for extended formulas with multiple parts on the right-hand side and/or multiple responses on the left-hand side (see <doi:10.18637/jss.v034.i01>).
Author: Achim Zeileis [aut, cre] , Yves Croissant [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package doFuture updated to version 1.3.0 with previous version 1.2.2 dated 2026-05-22

Title: Use Foreach to Parallelize via the Future Framework
Description: The 'future' package provides a unifying parallelization framework for R that supports many parallel and distributed backends <doi:10.32614/RJ-2021-048>. The 'foreach' package provides a powerful API for iterating over an R expression in parallel. The 'doFuture' package brings the best of the two together. There are three ways to use this package. The recommended approach is to use 'y <- foreach(...) %do% { ... } |> futurize()' via the 'futurize' package (<doi:10.48550/arXiv.2601.17578>). The second alternative, which was formerly recommended, is to use 'y <- foreach(...) %dofuture% { ... }', which does not require using 'registerDoFuture()' and has many advantages over '%dopar%'. The third alternative is the traditional 'foreach' approach by registering the 'foreach' adapter 'registerDoFuture()' and so that 'y <- foreach(...) %dopar% { ... }' parallelizes with the 'future' framework.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Sun, 02 Aug 2026

Package tubern updated to version 0.5.1 with previous version 0.5.0 dated 2026-04-12

Title: R Client for the YouTube Analytics and Reporting API
Description: Provides access to YouTube Analytics API v2 for retrieving YouTube Analytics data including views, engagement metrics, demographics, and revenue data. Supports OAuth 2.0 authentication and channel group management. See <https://developers.google.com/youtube/analytics/> for API documentation.
Author: Gaurav Sood [aut, cre]
Maintainer: Gaurav Sood <gsood07@gmail.com>

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Package ravel updated to version 0.1.4 with previous version 0.1.2 dated 2026-06-28

Title: AI Copilot for R Analysis Workflows in 'RStudio'
Description: An AI copilot for R users in 'RStudio' and Posit workflows with active-editor, workspace, object, console, plot, and git-aware context. Provides statistical helpers for interpreting lm() and glm() models, stages code and file actions before execution, drafts reproducible 'Quarto' content, and connects to official provider APIs or CLIs for 'OpenAI', 'GitHub Copilot', 'Gemini', and 'Anthropic'.
Author: Markuss Saule [aut, cre, cph]
Maintainer: Markuss Saule <markusstomas@gmail.com>

Diff between ravel versions 0.1.2 dated 2026-06-28 and 0.1.4 dated 2026-08-02

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Package guess updated to version 0.7.0 with previous version 0.3.0 dated 2026-03-31

Title: Adjust Estimates of Learning for Guessing
Description: Provides tools to adjust estimates of learning for guessing-related bias in educational and survey research. Implements standard guessing correction methods and latent class models that leverage informative pre-post test transitions to account for guessing behavior. The package helps researchers obtain more accurate estimates of actual learning when respondents may guess on closed-ended knowledge items. For theoretical background and empirical validation, see Cor and Sood (2016) <https://gsood.com/research/papers/guess.pdf>.
Author: Gaurav Sood [aut, cre], Ken Cor [aut]
Maintainer: Gaurav Sood <gsood07@gmail.com>

Diff between guess versions 0.3.0 dated 2026-03-31 and 0.7.0 dated 2026-08-02

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Package tuber updated to version 1.4.1 with previous version 1.4.0 dated 2026-03-24

Title: Client for the YouTube API
Description: Get comments posted on YouTube videos, information on how many times a video has been liked, search for videos with particular content, and much more. You can also scrape captions from a few videos. To learn more about the YouTube API, see <https://developers.google.com/youtube/v3/>.
Author: Gaurav Sood [aut, cre], Kate Lyons [ctb], John Muschelli [ctb]
Maintainer: Gaurav Sood <gsood07@gmail.com>

Diff between tuber versions 1.4.0 dated 2026-03-24 and 1.4.1 dated 2026-08-02

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Package shinyglass updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-28

Title: Liquid Glass Design Themes for 'shiny' Applications
Description: Drop-in Liquid Glass themes for 'shiny'. Call glass_theme() and pass the result to fluidPage(), navbarPage(), or any 'bslib'-aware page function to get translucent surfaces, backdrop blur, and system typography on 'Bootstrap' components. Light and dark presets are included, with options for accent color, blur, and corner radius.
Author: Eric Anderson [aut, cre]
Maintainer: Eric Anderson <eric.ray.anderson@gmail.com>

Diff between shinyglass versions 0.1.0 dated 2026-07-28 and 0.1.1 dated 2026-08-02

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Package PeerPerformance updated to version 2.4.0 with previous version 2.3.2 dated 2025-08-18

Title: Luck-Corrected Peer Performance Analysis in R
Description: Provides functions to perform the peer performance analysis of funds' returns as described in Ardia and Boudt (2018) <doi:10.1016/j.jbankfin.2017.10.014>. For each fund, the package estimates the proportion of peers it outperforms, is equalled by, and is outperformed by, correcting for luck with the false discovery approach of Storey (2002) <doi:10.1111/1467-9868.00346>. Screenings can be based on factor-model alphas, Sharpe ratios, or modified Sharpe ratios, the latter using the equality test of Ardia and Boudt (2015) <doi:10.1016/j.frl.2015.02.008>. Funds can be screened within a universe or against a separate peer group, over rolling windows, and results come with bootstrap confidence intervals, summary, plot, and tidy data frame methods.
Author: David Ardia [aut, cre, cph, fnd] , Nabil Bouamara [ctb], Kris Boudt [aut] , Sebastien Legros [ctb], Murilo Andre Peres Pereira [ctb] , Benjamin Seguin [ctb]
Maintainer: David Ardia <david.ardia.ch@gmail.com>

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Package sca updated to version 0.9-3 with previous version 0.9-2 dated 2024-02-02

Title: Simple Component Analysis
Description: Simple Component Analysis (SCA) often provides much more interpretable components than Principal Components (PCA) while still representing much of the variability in the data.
Author: Valentin Rousson [aut], Martin Maechler [aut, cre]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package triageR updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-29

Title: Automated Machine Learning and AI Agent Tools for Clinical Prediction Modelling
Description: Provides a streamlined workflow for building, validating, and reporting clinical prediction models. Combines standard machine learning tools with an optional AI agent that recommends appropriate statistical methods, runs sensitivity analyses, and flags common pitfalls. Includes automated generation of reports aligned with TRIPOD+AI reporting guidance (Collins et al. (2024 <doi:10.1136/bmj-2023-078378>)) for reproducible, guideline-aligned research.
Author: Uwakmfon Paul [aut, cre, cph]
Maintainer: Uwakmfon Paul <uwakmfon31@gmail.com>

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Package obr updated to version 0.6.0 with previous version 0.5.1 dated 2026-07-27

Title: Access 'Office for Budget Responsibility' Data
Description: Provides clean, tidy access to data published by the 'Office for Budget Responsibility' ('OBR'), the UK's independent fiscal watchdog. Covers the Public Finances Databank (outturn for PSNB, PSND, receipts, and expenditure since 1946), the Historical Official Forecasts Database (every 'OBR' forecast since 2010), the Economic and Fiscal Outlook detailed forecast tables (five-year projections from the latest Budget), the monthly profiles for the public finances (the 'OBR' forecast apportioned across the months of the fiscal year), the Welfare Trends Report (incapacity benefit spending and caseloads), and the Fiscal Risks and Sustainability Report (50-year state pension projections). All returned objects carry provenance metadata recording the source URL, publication vintage, retrieval time, and file fingerprint, so analyses can be audited and reproduced. Data is downloaded from the 'OBR' on first use and cached locally for subsequent calls. Data is sourced from the 'OBR' website <https [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package ipwCoxCSV updated to version 1.1 with previous version 1.0 dated 2019-10-09

Title: Corrected Sandwich Inference for Inverse Probability Weighted Cox Models
Description: An implementation of the corrected sandwich variance (CSV) method for inverse probability weighted (IPW) Cox models described in Shu et al (2021) <doi:10.1111/biom.13332>. The method accounts for the uncertainty in estimating propensity score weights to improve variance and confidence interval estimation for adjusted marginal hazard ratios (HRs) in observational and randomized studies. The package supports estimation of the average treatment effect (ATE) using conventional and stabilized ATE weights, and the average treatment effect in the treated (ATT) using ATT weights, for both independent and clustered data. Propensity scores are estimated using logistic regression.
Author: Di Shu [aut, cre], Rui Wang [aut]
Maintainer: Di Shu <shudi1991@gmail.com>

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Package FunctionalCalibration updated to version 2.0.0 with previous version 1.0.0 dated 2025-06-19

Title: Aggregated Functional Data Calibration using Splines and Wavelets
Description: Implements methods for calibrating an aggregated functional data model using wavelets or splines. Each aggregated curve is modeled as a linear combination of component functions and known weights. The component functions are estimated using wavelets or splines. The package is based on dos Santos Sousa (2024) <doi:10.1515/mcma-2023-2016>, Saraiva and Dias (2009) <doi:10.47749/T/UNICAMP.2009.471073> and Johnstone and Silverman (1997) <doi:10.1111/1467-9868.00071>.
Author: Vitor Perrone [aut, cre] , Alex Sousa [aut]
Maintainer: Vitor Perrone <vitor.perrone10@gmail.com>

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Package DEmixR updated to version 0.2.0 with previous version 0.1.1 dated 2025-09-27

Title: Fit Two-Component Normal and Lognormal Mixture Models
Description: Fits, bootstraps, and evaluates two-component normal and lognormal mixture models. Parameters are estimated by combining differential-evolution global optimization, as implemented in the 'DEoptim' package (Mullen, Ardia, Gil, Windover and Cline, 2011) <doi:10.18637/jss.v040.i06>, with a local 'L-BFGS-B' refinement step via optim(). Also provides preliminary diagnostic plots, automatic normal-versus-lognormal model selection by information criteria, and parametric or nonparametric bootstrap confidence intervals for the fitted parameters.
Author: Farrokh Habibzadeh [aut, cre]
Maintainer: Farrokh Habibzadeh <farrokh.habibzadeh@gmail.com>

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Package binxr updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-18

Title: 'Binance' REST API Client
Description: Client for the 'Binance' <https://www.binance.com/> Spot, USD-M Futures, and Options REST APIs. Provides helper functions for signed and unsigned requests, market data retrieval, account access, and order management with 'data.table' output by default. COIN-M Futures, Portfolio Margin, WebSocket, SBE, and FIX APIs are not included.
Author: Oliver Zhou [aut, cre], Lily Li [aut]
Maintainer: Oliver Zhou <oliver.yxzhou@gmail.com>

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Package SurvDisc updated to version 0.1.2 with previous version 0.1.1 dated 2018-05-06

Title: Discrete Time Survival and Longitudinal Data Analysis
Description: Various functions for discrete time survival analysis and longitudinal analysis. SIMEX method for correcting for bias for errors-in-variables in a mixed effects model. Asymptotic mean and variance of different proportional hazards test statistics using different ties methods given two survival curves and censoring distributions. Score test and Wald test for regression analysis of grouped survival data. Calculation of survival curves for events defined by the response variable in a mixed effects model crossing a threshold with or without confirmation.
Author: John Lawrence [aut, cre], Jianjin Xu [ctb], Sue Jane Wang [ctb], Jim Hung [ctb]
Maintainer: John Lawrence <john.lawrence@fda.hhs.gov>

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Package FAfA updated to version 1.2 with previous version 1.1 dated 2026-05-03

Title: Factor Analysis for All
Description: Provides a comprehensive Shiny-based graphical user interface for conducting a wide range of factor analysis procedures. 'FAfA' (Factor Analysis for All) guides users through data uploading, assumption checking (descriptives, collinearity, multivariate normality, outliers), data wrangling (variable exclusion, data splitting), factor retention analysis (e.g., Parallel Analysis, Hull method, EGA), Exploratory Factor Analysis (EFA) with various rotation and extraction methods, Confirmatory Factor Analysis (CFA) for model testing, Reliability Analysis (e.g., Cronbach's Alpha, McDonald's Omega), Measurement Invariance testing across groups, and item weighting techniques. The application leverages established R packages such as 'lavaan' and 'psych' to perform these analyses, offering an accessible platform for researchers and students. Results are presented in user-friendly tables and plots, with options for downloading outputs. Analysis projects can be saved and restored, and reproducible R [...truncated...]
Author: Abdullah Faruk KILIC [aut, cre, cph], Ahmet Caliskan [aut, cph], Melissa G. Wolf [ctb, cph] , Daniel McNeish [ctb, cph]
Maintainer: Abdullah Faruk KILIC <afarukkilic@trakya.edu.tr>

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Package openesm updated to version 0.2.1 with previous version 0.2.0 dated 2026-05-06

Title: Access the Open Experience Sampling Method Database
Description: Provides programmatic access to the Open Experience Sampling Method ('openESM') database (<https://openesmdata.org>), a collection of harmonized experience sampling datasets. The package enables researchers to discover, download, and work with the datasets while ensuring proper citation and license compliance.
Author: Bjoern S. Siepe [aut, cre, cph] , Matthias Kloft [aut]
Maintainer: Bjoern S. Siepe <bjoernsiepe@gmail.com>

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Package aieconindex updated to version 0.2.0 with previous version 0.1.1 dated 2026-06-01

Title: Access the 'Anthropic Economic Index' Dataset
Description: Provides clean, tidy access to the 'Anthropic Economic Index' (AEI) dataset hosted on 'Hugging Face' <https://huggingface.co/datasets/Anthropic/EconomicIndex>. The AEI is a recurring release from 'Anthropic' that maps usage of the 'Claude' family of large language models to occupations and tasks using the 'O*NET' taxonomy and the 'Standard Occupational Classification' system, following the methodology of Handa et al. (2025) <doi:10.48550/arXiv.2503.04761> and the privacy-preserving system 'Clio' of Tamkin et al. (2024) <doi:10.48550/arXiv.2412.13678>. Functions list available releases, fetch raw and enriched usage tables, retrieve task statements, request hierarchies, country-level breakdowns, and the standalone labor market impacts tables (job exposure and task penetration), compare two releases, join the index to user-supplied data on a shared key, and compute usage-concentration metrics (Herfindahl-Hirschman Index, top-N concentration ratios, Shannon entropy). Data [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package boe updated to version 0.4.0 with previous version 0.3.0 dated 2026-05-30

Title: Download Data from the 'Bank of England' Statistical Database
Description: Provides functions to download and tidy statistical data published by the 'Bank of England' <https://www.bankofengland.co.uk>. Covers Bank Rate, 'SONIA', gilt yields, exchange rates, mortgage rates, mortgage approvals, consumer credit, and money supply. Series are fetched from the 'Bank of England Interactive Statistical Database' using its CSV endpoint. Data is cached locally between sessions.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between boe versions 0.3.0 dated 2026-05-30 and 0.4.0 dated 2026-08-02

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Package rdomains updated to version 0.5.0 with previous version 0.4.0 dated 2026-05-13

Title: Get the Category of Content Hosted by a Domain
Description: Get the category of content hosted by a domain. Use Shallalist (service discontinued), 'VirusTotal' (which provides access to lots of services) <https://www.virustotal.com/>, 'DMOZ' <https://archive.org/details/dmoz-rdf-20150327>, University Domain list <https://github.com/Hipo/university-domains-list>, 'OpenAI' 'GPT' models, 'Anthropic' 'Claude' models, or validated machine learning classifiers based on 'Shallalist' data to learn about the kind of content hosted by a domain.
Author: Gaurav Sood [aut, cre]
Maintainer: Gaurav Sood <gsood07@gmail.com>

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Package readaec updated to version 0.2.0 with previous version 0.1.2 dated 2026-03-16

Title: Access Australian Electoral Commission Data
Description: Provides clean, tidy access to Australian Electoral Commission (AEC) federal election data. Includes results for the House of Representatives and Senate from 2007 onwards, at both division and polling place level, plus by-elections from 2008 onwards, the 2023 referendum, and the full distribution of preferences. Data is downloaded directly from the AEC <https://results.aec.gov.au> on first use and cached locally for subsequent calls.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package glydraw updated to version 0.8.0 with previous version 0.7.0 dated 2026-07-25

Title: Draw Beautiful Symbol Nomenclature for Glycans
Description: A 'ggplot2'-native plotting engine for drawing reproducible beautiful Symbol Nomenclature for Glycans (SNFG) glycan cartoons from glycan structure objects or text notations, with support for batch export, structural highlighting, and deep appearance customization. It follows the SNFG specification described at <https://www.ncbi.nlm.nih.gov/glycans/snfg.html>.
Author: Bin Fu [aut, cre, cph] , Xisong Feng [aut]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

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Package tinyarray updated to version 3.0.0 with previous version 2.4.3 dated 2025-03-05

Title: Expression Data Analysis and Visualization
Description: A toolkit for microarray and RNA-seq data analysis, including annotation conversion, differential expression, enrichment, survival analysis, and visualization.
Author: Xiaojie Sun [aut, cre]
Maintainer: Xiaojie Sun <18763899370@163.com>

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More information about tinyarray at CRAN
Permanent link

Package themis updated to version 1.1.0 with previous version 1.0.3 dated 2025-01-22

Title: Extra Recipes Steps for Dealing with Unbalanced Data
Description: A dataset with an uneven number of cases in each class is said to be unbalanced. Many models produce a subpar performance on unbalanced datasets. A dataset can be balanced by increasing the number of minority cases using SMOTE 2011 <doi:10.48550/arXiv.1106.1813>, BorderlineSMOTE 2005 <doi:10.1007/11538059_91> and ADASYN 2008. Or by decreasing the number of majority cases using NearMiss 2003 <https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf> or Tomek link removal 1976.
Author: Emil Hvitfeldt [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

Diff between themis versions 1.0.3 dated 2025-01-22 and 1.1.0 dated 2026-08-02

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More information about themis at CRAN
Permanent link

Package misty updated to version 0.8.3 with previous version 0.8.2 dated 2026-05-16

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

Diff between misty versions 0.8.2 dated 2026-05-16 and 0.8.3 dated 2026-08-02

 DESCRIPTION                 |   15 
 MD5                         |  321 +-
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 NEWS.md                     |   64 
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 R/na.as.R                   |   23 
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Package fitVARMxID updated to version 1.0.5 with previous version 1.0.3 dated 2026-03-31

Title: Fit the Vector Autoregressive Model for Multiple Individuals
Description: Fit the vector autoregressive model for multiple individuals using the 'OpenMx' package (Hunter, 2017 <doi:10.1080/10705511.2017.1369354>).
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

Diff between fitVARMxID versions 1.0.3 dated 2026-03-31 and 1.0.5 dated 2026-08-02

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Sat, 01 Aug 2026

Package metaDyn updated to version 1.0.3 with previous version 1.0.1 dated 2026-03-24

Title: Multivariate Meta-Analysis of Dynamic Model Estimates
Description: Fits fixed-, random-, or mixed-effects multivariate meta-analysis models using dynamic model estimates from each individual building on and extending Lee and Gates (2023) <doi:10.1080/00273171.2023.2229310>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

Diff between metaDyn versions 1.0.1 dated 2026-03-24 and 1.0.3 dated 2026-08-01

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Package cpfa updated to version 1.3.2 with previous version 1.3.1 dated 2026-07-13

Title: Classification with Parallel Factor Analysis
Description: Classification using Richard A. Harshman's Parallel Factor Analysis-1 (Parafac) model or Parallel Factor Analysis-2 (Parafac2) model fit to a three-way or four-way data array. See Harshman and Lundy (1994): <doi:10.1016/0167-9473(94)90132-5>. Classification using principal component analysis (PCA) fit to a two-way data matrix is also supported. Uses component weights from one mode of a Parafac, Parafac2, or PCA model as features to tune parameters for one or more classification methods via a k-fold cross-validation procedure. Allows for constraints on different tensor modes. Allows for inclusion of additional features alongside features generated by the component model. Supports penalized logistic regression, support vector machine, random forest, feed-forward neural network, regularized discriminant analysis, and gradient boosting machine. Supports binary and multiclass classification. Predicts class labels or class probabilities and calculates multiple classification performanc [...truncated...]
Author: Matthew A. Asisgress [aut, cre]
Maintainer: Matthew A. Asisgress <mattgress@protonmail.ch>

Diff between cpfa versions 1.3.1 dated 2026-07-13 and 1.3.2 dated 2026-08-01

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Package teal.modules.general updated to version 0.8.0 with previous version 0.7.0 dated 2026-07-01

Title: General Modules for 'teal' Applications
Description: Prebuilt 'shiny' modules containing tools for viewing data, visualizing data, understanding missing and outlier values within your data and performing simple data analysis. This extends 'teal' framework that supports reproducible research and analysis.
Author: Dony Unardi [aut, cre], Dawid Kaledkowski [aut], Pawel Rucki [aut], Mahmoud Hallal [aut], Ondrej Slama [ctb], Maciej Nasinski [aut], Konrad Pagacz [aut], Nikolas Burkoff [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dony Unardi <unardid@gene.com>

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Package clinify updated to version 0.4.0 with previous version 0.3.1 dated 2026-06-02

Title: Clinical Table Styling Tools and Utilities
Description: The primary motivation of this package is to take the things that are great about the R packages 'flextable' <https://davidgohel.github.io/flextable/> and 'officer' <https://davidgohel.github.io/officer/>, take the standard and complex pieces of formatting clinical tables for regulatory use, and simplify the tedious pieces.
Author: Mike Stackhouse [aut, cre] , Ross Didenko [aut], Yevhenii Boiko [aut], Marat Zakirov [ctb], Roman Rogoza [ctb], Atorus Research, Inc. [cph], Incyte Corporation [cph]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>

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Package gglm updated to version 1.1.0 with previous version 1.0.5 dated 2026-02-21

Title: Grammar of Graphics for Linear Model Diagnostic Plots
Description: Allows for easy creation of diagnostic plots for a variety of model objects using the Grammar of Graphics. Provides functionality for both individual diagnostic plots and an array of four standard diagnostic plots.
Author: Grayson White [aut, cre]
Maintainer: Grayson White <graysonwhite13@gmail.com>

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Package genefindr updated to version 1.1.0 with previous version 1.0.0 dated 2026-06-08

Title: Rapid Gene Characterization Using Public Genomic Databases
Description: A user-friendly interface for characterizing gene function by disease type and tissue site, integrating curated data from publicly available genomic and proteomic databases to support candidate gene prioritization in experimental workflows.
Author: Cydnie Martin [aut, cre]
Maintainer: Cydnie Martin <martincydenise@gmail.com>

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Package tsforecast updated to version 1.3.1 with previous version 1.3.0 dated 2026-01-21

Title: Time Series Forecasting Functions
Description: Fundamental time series forecasting models such as autoregressive integrated moving average (ARIMA), exponential smoothing, and simple moving average are included. For ARIMA models, the output follows the traditional parameterisation by Box and Jenkins (1970, ISBN: 0816210942, 9780816210947). Furthermore, there are functions for detailed time series exploration and decomposition, respectively. All data and result visualisations are generated by 'ggplot2' instead of conventional R graphical output. For more details regarding the theoretical background of the models see Hyndman, R.J. and Athanasopoulos, G. (2021) <https://otexts.com/fpp3/>.
Author: Ka Yui Karl Wu [aut, cre]
Maintainer: Ka Yui Karl Wu <karlwuky@suss.edu.sg>

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Package rwetools updated to version 0.4.0 with previous version 0.2.0 dated 2026-06-21

Title: Estimating Propensity Scores (PS), PS-Based Weights, and Effects
Description: Toolbox that provides a streamlined, end-to-end workflow for propensity score analysis in generating real-world evidence from real-world data. The package covers the full analytic pipeline - from estimating propensity scores via logistic regression, to calculating weights or creating a matched cohort, to generating publication-ready Table 1s with standardized mean differences and weighted balance diagnostics. It also estimates incidence rates, hazard ratios, risk ratios, and risk differences with support for stratified and direct-standardized analyses. All core functions produce formatted 'Excel' reports with embedded 'README' documentation, making results immediately shareable with collaborators and stakeholders. Methods are based on Rosenbaum and Rubin (1983) <doi:10.1093/biomet/70.1.41>, Austin (2011) <doi:10.1080/00273171.2011.568786>, and Desai et al. (2017) <doi:10.1097/EDE.0000000000000595>.
Author: Hanseul Cho [aut, cre], Georg Hahn [aut], Janinne Ortega-Montiel [aut], Julie Paik [aut], Elisabetta Patorno [aut]
Maintainer: Hanseul Cho <hanseul0618@gmail.com>

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