Sat, 07 Mar 2026

Package SubgrpID updated to version 0.13 with previous version 0.12 dated 2024-02-03

Title: Patient Subgroup Identification for Clinical Drug Development
Description: Implementation of Sequential BATTing (bootstrapping and aggregating of thresholds from trees) for developing threshold-based multivariate (prognostic/predictive) biomarker signatures. Variable selection is automatically built-in. Final signatures are returned with interaction plots for predictive signatures. Cross-validation performance evaluation and testing dataset results are also output. Detail algorithms are described in Huang et al (2017) <doi:10.1002/sim.7236>.
Author: Xin Huang [aut, cre, cph], Yan Sun [aut], Saptarshi Chatterjee [aut], Paul Trow [aut]
Maintainer: Xin Huang <xin.huang@abbvie.com>

Diff between SubgrpID versions 0.12 dated 2024-02-03 and 0.13 dated 2026-03-07

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Package smam updated to version 0.7.3 with previous version 0.7.2 dated 2024-01-10

Title: Statistical Modeling of Animal Movements
Description: Animal movement models including Moving-Resting Process with Embedded Brownian Motion (Yan et al., 2014, <doi:10.1007/s10144-013-0428-8>; Pozdnyakov et al., 2017, <doi:10.1007/s11009-017-9547-6>), Brownian Motion with Measurement Error (Pozdnyakov et al., 2014, <doi:10.1890/13-0532.1>), Moving-Resting-Handling Process with Embedded Brownian Motion (Pozdnyakov et al., 2020, <doi:10.1007/s11009-020-09774-1>), Moving-Resting Process with Measurement Error (Hu et al., 2021, <doi:10.1111/2041-210X.13694>), Moving-Moving Process with two Embedded Brownian Motions.
Author: Chaoran Hu [aut, cre], Vladimir Pozdnyakov [aut], Jun Yan [aut]
Maintainer: Chaoran Hu <huchaoran.stat@gmail.com>

Diff between smam versions 0.7.2 dated 2024-01-10 and 0.7.3 dated 2026-03-07

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Package Rfast2 updated to version 0.1.5.6 with previous version 0.1.5.5 dated 2025-10-14

Title: A Collection of Efficient and Extremely Fast R Functions II
Description: A collection of fast statistical and utility functions for data analysis. Functions for regression, maximum likelihood, column-wise statistics and many more have been included. C++ has been utilized to speed up the functions. References: Tsagris M., Papadakis M. (2018). Taking R to its limits: 70+ tips. PeerJ Preprints 6:e26605v1 <doi:10.7287/peerj.preprints.26605v1>.
Author: Manos Papadakis [aut, cre, cph], Michail Tsagris [aut], Stefanos Fafalios [aut], Marios Dimitriadis [aut], Manos Lasithiotakis [aut], Nikolaos Kontemeniotis [ctb]
Maintainer: Manos Papadakis <rfastofficial@gmail.com>

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Package maidr updated to version 0.2.0 with previous version 0.1.2 dated 2026-02-23

Title: Multimodal Access and Interactive Data Representation
Description: Provides accessible, interactive visualizations through the 'MAIDR' (Multimodal Access and Interactive Data Representation) system. Converts 'ggplot2' and Base R plots into accessible HTML/SVG formats with keyboard navigation, screen reader support, and 'sonification' capabilities. Supports bar charts (simple, grouped, stacked), histograms, line plots, scatter plots, box plots, violin plots, heat maps, density/smooth curves, faceted plots, multi-panel layouts (including patchwork), and multi-layered plot combinations. Enables data exploration for users with visual impairments through multiple sensory modalities. For more details see the 'MAIDR' project <https://maidr.ai/>.
Author: JooYoung Seo [aut, cph], Niranjan Kalaiselvan [aut, cre]
Maintainer: Niranjan Kalaiselvan <nk46@illinois.edu>

Diff between maidr versions 0.1.2 dated 2026-02-23 and 0.2.0 dated 2026-03-07

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Package languageserver updated to version 0.3.17 with previous version 0.3.16 dated 2023-08-18

Title: Language Server Protocol
Description: An implementation of the Language Server Protocol for R. The Language Server protocol is used by an editor client to integrate features like auto completion. See <https://microsoft.github.io/language-server-protocol/> for details.
Author: Randy Lai [aut, cre], Kun Ren [ctb]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

Diff between languageserver versions 0.3.16 dated 2023-08-18 and 0.3.17 dated 2026-03-07

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Package ggpattern updated to version 1.3.1 with previous version 1.2.1 dated 2025-08-27

Title: 'ggplot2' Pattern Geoms
Description: Provides 'ggplot2' geoms filled with various patterns. Includes a patterned version of every 'ggplot2' geom that has a region that can be filled with a pattern. Provides a suite of 'ggplot2' aesthetics and scales for controlling pattern appearances. Supports over a dozen builtin patterns (every pattern implemented by 'gridpattern') as well as allowing custom user-defined patterns.
Author: Mike FC [aut], Trevor L. Davis [aut, cre] , ggplot2 authors [aut]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

Diff between ggpattern versions 1.2.1 dated 2025-08-27 and 1.3.1 dated 2026-03-07

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Package stochvol updated to version 3.2.9 with previous version 3.2.8 dated 2025-10-13

Title: Efficient Bayesian Inference for Stochastic Volatility (SV) Models
Description: Efficient algorithms for fully Bayesian estimation of stochastic volatility (SV) models with and without asymmetry (leverage) via Markov chain Monte Carlo (MCMC) methods. Methodological details are given in Kastner and Frühwirth-Schnatter (2014) <doi:10.1016/j.csda.2013.01.002> and Hosszejni and Kastner (2019) <doi:10.1007/978-3-030-30611-3_8>; the most common use cases are described in Hosszejni and Kastner (2021) <doi:10.18637/jss.v100.i12> and Kastner (2016) <doi:10.18637/jss.v069.i05> and the package examples.
Author: Darjus Hosszejni [aut, cre] , Gregor Kastner [aut]
Maintainer: Darjus Hosszejni <darjus.hosszejni@icloud.com>

Diff between stochvol versions 3.2.8 dated 2025-10-13 and 3.2.9 dated 2026-03-07

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Package RProtoBuf updated to version 0.4.26 with previous version 0.4.25 dated 2026-01-11

Title: R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)
Description: Protocol Buffers are a way of encoding structured data in an efficient yet extensible format. Google uses Protocol Buffers for almost all of its internal 'RPC' protocols and file formats. Additional documentation is available in two included vignettes one of which corresponds to our 'JSS' paper (2016, <doi:10.18637/jss.v071.i02>. A sufficiently recent version of 'Protocol Buffers' library is required; currently version 3.3.0 from 2017 is the tested minimum.
Author: Romain Francois [aut] , Dirk Eddelbuettel [aut, cre] , Murray Stokely [aut] , Jeroen Ooms [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RProtoBuf versions 0.4.25 dated 2026-01-11 and 0.4.26 dated 2026-03-07

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Package rBiasCorrection updated to version 0.3.6 with previous version 0.3.5 dated 2025-04-05

Title: Correct Bias in DNA Methylation Analyses
Description: Implementation of the algorithms (with minor modifications) to correct bias in quantitative DNA methylation analyses as described by Moskalev et al. (2011) <doi:10.1093/nar/gkr213>. Publication: Kapsner et al. (2021) <doi:10.1002/ijc.33681>.
Author: Lorenz A. Kapsner [cre, aut, cph] , Evgeny A. Moskalev [aut]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

Diff between rBiasCorrection versions 0.3.5 dated 2025-04-05 and 0.3.6 dated 2026-03-07

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Package omopgenerics updated to version 1.3.7 with previous version 1.3.6 dated 2026-01-28

Title: Methods and Classes for the OMOP Common Data Model
Description: Provides definitions of core classes and methods used by analytic pipelines that query the OMOP (Observational Medical Outcomes Partnership) common data model.
Author: Marti Catala [aut, cre] , Edward Burn [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Marta Alcalde-Herraiz [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

Diff between omopgenerics versions 1.3.6 dated 2026-01-28 and 1.3.7 dated 2026-03-07

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Package mirt updated to version 1.46.1 with previous version 1.45.1 dated 2025-09-06

Title: Multidimensional Item Response Theory
Description: Analysis of discrete response data using unidimensional and multidimensional item analysis models under the Item Response Theory paradigm (Chalmers (2012) <doi:10.18637/jss.v048.i06>). Exploratory and confirmatory item factor analysis models are estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier models are available for modeling item testlets using dimension reduction EM algorithms, while multiple group analyses and mixed effects designs are included for detecting differential item, bundle, and test functioning, and for modeling item and person covariates. Finally, latent class models such as the DINA, DINO, multidimensional latent class, mixture IRT models, and zero-inflated response models are supported, as well as a wide family of probabilistic unfolding models.
Author: Phil Chalmers [aut, cre] , Joshua Pritikin [ctb], Alexander Robitzsch [ctb], Mateusz Zoltak [ctb], KwonHyun Kim [ctb], Carl F. Falk [ctb], Adam Meade [ctb], Lennart Schneider [ctb], David King [ctb], Chen-Wei Liu [ctb], Ogreden Oguzhan [ctb], Samuel [...truncated...]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between mirt versions 1.45.1 dated 2025-09-06 and 1.46.1 dated 2026-03-07

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Package coga updated to version 1.2.3 with previous version 1.2.2 dated 2024-01-10

Title: Convolution of Gamma Distributions
Description: Evaluation for density and distribution function of convolution of gamma distributions in R. Two related exact methods and one approximate method are implemented with efficient algorithm and C++ code. A quick guide for choosing correct method and usage of this package is given in package vignette. For the detail of methods used in this package, we refer the user to Mathai(1982)<doi:10.1007/BF02481056>, Moschopoulos(1984)<doi:10.1007/BF02481123>, Barnabani(2017)<doi:10.1080/03610918.2014.963612>, Hu et al.(2020)<doi:10.1007/s00180-019-00924-9>.
Author: Chaoran Hu [aut, cre], Vladimir Pozdnyakov [ths], Jun Yan [ths]
Maintainer: Chaoran Hu <huchaoran.stat@gmail.com>

Diff between coga versions 1.2.2 dated 2024-01-10 and 1.2.3 dated 2026-03-07

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Package clinpubr updated to version 1.3.0 with previous version 1.2.0 dated 2026-01-08

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

Diff between clinpubr versions 1.2.0 dated 2026-01-08 and 1.3.0 dated 2026-03-07

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