Mon, 09 Feb 2026

Package vcdExtra updated to version 0.9.1 with previous version 0.9.0 dated 2026-01-21

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]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package simstudy updated to version 0.9.2 with previous version 0.9.1 dated 2025-12-16

Title: Simulation of Study Data
Description: Simulates data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates, and generates data based on these specifications. The final data sets can represent data from randomized control trials, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR).
Author: Keith Goldfeld [aut, cre] , Jacob Wujciak-Jens [aut]
Maintainer: Keith Goldfeld <keith.goldfeld@nyulangone.org>

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Package pumBayes readmission to version 1.0.2 with previous version 1.0.1 dated 2025-10-22

Title: Bayesian Estimation of Probit Unfolding Models for Binary Preference Data
Description: Bayesian estimation and analysis methods for Probit Unfolding Models (PUMs), a novel class of scaling models designed for binary preference data. These models allow for both monotonic and non-monotonic response functions. The package supports Bayesian inference for both static and dynamic PUMs using Markov chain Monte Carlo (MCMC) algorithms with minimal or no tuning. Key functionalities include posterior sampling, hyperparameter selection, data preprocessing, model fit evaluation, and visualization. The methods are particularly suited to analyzing voting data, such as from the U.S. Congress or Supreme Court, but can also be applied in other contexts where non-monotonic responses are expected. For methodological details, see Shi et al. (2025) <doi:10.48550/arXiv.2504.00423>.
Author: Skylar Shi [aut, cre] , Abel Rodriguez [aut] , Rayleigh Lei [aut] , Jonathan Olmsted [cph]
Maintainer: Skylar Shi <dshi98@uw.edu>

This is a re-admission after prior archival of version 1.0.1 dated 2025-10-22

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Package pctax updated to version 0.1.7 with previous version 0.1.3 dated 2024-12-02

Title: Professional Comprehensive Omics Data Analysis
Description: Provides a comprehensive suite of tools for analyzing omics data. It includes functionalities for alpha diversity analysis, beta diversity analysis, differential abundance analysis, community assembly analysis, visualization of phylogenetic tree, and functional enrichment analysis. With a progressive approach, the package offers a range of analysis methods to explore and understand the complex communities. It is designed to support researchers and practitioners in conducting in-depth and professional omics data analysis.
Author: Chen Peng [aut, cre]
Maintainer: Chen Peng <bfzede@gmail.com>

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Package MetaNet updated to version 0.2.8 with previous version 0.2.7 dated 2025-06-26

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

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Package ggtime updated to version 0.2.0 with previous version 0.1.0 dated 2025-06-10

Title: Grammar of Graphics and Plot Helpers for Time Series Visualization
Description: Extends the capabilities of 'ggplot2' by providing grammatical elements and plot helpers designed for visualizing temporal patterns. The package implements a grammar of temporal graphics, which leverages calendar structures to highlight changes over time. The package also provides plot helper functions to quickly produce commonly used time series graphics, including time plots, season plots, and seasonal sub-series plots.
Author: Mitchell O'Hara-Wild [aut, cre] , Cynthia A. Huang [aut] , Matthew Kay [aut] , Rob Hyndman [aut] , Earo Wang [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package Familias updated to version 2.6.4 with previous version 2.6.3 dated 2025-05-12

Title: Probabilities for Pedigrees Given DNA Data
Description: An interface to the core 'Familias' functions which are programmed in C++. The implementation is described in Egeland, Mostad and Olaisen (1997) <doi:10.1016/S1355-0306(97)72202-0> and Simonsson and Mostad (2016) <doi:10.1016/j.fsigen.2016.04.005>.
Author: Petter Mostad [aut], Thore Egeland [aut], Franco Marsico [aut, cre], Ivar Simonsson [aut]
Maintainer: Franco Marsico <franco.lmarsico@gmail.com>

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Package pglm updated to version 0.2-4 with previous version 0.2-3 dated 2021-07-19

Title: Panel Generalized Linear Models
Description: Estimation of panel models for glm-like models: this includes binomial models (logit and probit), count models (poisson and negbin) and ordered models (logit and probit), as described in: Baltagi (2013) Econometric Analysis of Panel Data, ISBN-13:978-1-118-67232-7, Hsiao (2014) Analysis of Panel Data <doi:10.1017/CBO9781139839327> and Croissant and Millo (2018), Panel Data Econometrics with R, ISBN:978-1-118-94918-4.
Author: Yves Croissant [aut, cre]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>

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Package mize updated to version 0.2.5 with previous version 0.2.4 dated 2020-08-30

Title: Unconstrained Numerical Optimization Algorithms
Description: Optimization algorithms implemented in R, including conjugate gradient (CG), Broyden-Fletcher-Goldfarb-Shanno (BFGS) and the limited memory BFGS (L-BFGS) methods. Most internal parameters can be set through the call interface. The solvers hold up quite well for higher-dimensional problems.
Author: James Melville [aut, cre]
Maintainer: James Melville <jlmelville@gmail.com>

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Package nanonext updated to version 1.8.0 with previous version 1.7.2 dated 2025-11-03

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], R Consortium [fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package lattice updated to version 0.22-9 with previous version 0.22-7 dated 2025-04-02

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>

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Package ivreg updated to version 0.6-6 with previous version 0.6-5 dated 2025-01-19

Title: Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM', with Diagnostics
Description: Instrumental variable estimation for linear models by two-stage least-squares (2SLS) regression or by robust-regression via M-estimation (2SM) or MM-estimation (2SMM). The main ivreg() model-fitting function is designed to provide a workflow as similar as possible to standard lm() regression. A wide range of methods is provided for fitted ivreg model objects, including extensive functionality for computing and graphing regression diagnostics in addition to other standard model tools.
Author: John Fox [aut] , Christian Kleiber [aut] , Achim Zeileis [aut, cre] , Nikolas Kuschnig [ctb] , R Core Team [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package gdverse updated to version 1.6 with previous version 1.5.1 dated 2025-10-15

Title: Analysis of Spatial Stratified Heterogeneity
Description: Detecting spatial associations via spatial stratified heterogeneity, accounting for spatial dependencies, interpretability, complex interactions, and robust stratification. In addition, it supports the spatial stratified heterogeneity family described in Lv et al. (2025)<doi:10.1111/tgis.70032>.
Author: Wenbo Lv [aut, cre, cph] , Yangyang Lei [aut] , Fangmei Liu [aut] , Jianwu Yan [aut] , Yongze Song [aut] , Wufan Zhao [aut]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

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Package gdtools updated to version 0.5.0 with previous version 0.4.4 dated 2025-10-06

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

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Package eam updated to version 1.1.0 with previous version 1.0.1 dated 2026-01-17

Title: Evidence Accumulation Models
Description: Simulation-based evidence accumulation models for analyzing responses and reaction times in single- and multi-response tasks. The package includes simulation engines for five representative models: the Diffusion Decision Model (DDM), Leaky Competing Accumulator (LCA), Linear Ballistic Accumulator (LBA), Racing Diffusion Model (RDM), and Levy Flight Model (LFM), and extends these frameworks to multi-response settings. The package supports user-defined functions for item-level parameterization and the incorporation of covariates, enabling flexible customization and the development of new model variants based on existing architectures. Inference is performed using simulation-based methods, including Approximate Bayesian Computation (ABC) and Amortized Bayesian Inference (ABI), which allow parameter estimation without requiring tractable likelihood functions. In addition to core inference tools, the package provides modules for parameter recovery, posterior predictive checks, and model com [...truncated...]
Author: Guangyu Zhu [aut] , Guang Yang [aut, cre]
Maintainer: Guang Yang <guang.spike.yang@gmail.com>

Diff between eam versions 1.0.1 dated 2026-01-17 and 1.1.0 dated 2026-02-09

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More information about eam at CRAN
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