Wed, 11 Mar 2026

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

Title: Programmatic Interface to 'Orthanc' DICOM Servers
Description: An R Interface to 'Orthanc' DICOM servers for medical imaging workflows. 'Orthanc' is a lightweight, open-source DICOM server that exposes a comprehensive REST API for managing, querying, retrieving, and modifying DICOM resources (<https://www.orthanc-server.com>). The goal of this package is to provide comprehensive and user-friendly access to the 'Orthanc' REST API, designed to align with idiomatic R workflows while preserving the structure and semantics of DICOM resources.
Author: Matthew T. Warkentin [aut, cre, cph]
Maintainer: Matthew T. Warkentin <matthew.warkentin@ucalgary.ca>

Diff between orthanc versions 0.1.0 dated 2026-03-03 and 0.2.0 dated 2026-03-11

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Package baseq updated to version 0.2.0 with previous version 0.1.4 dated 2023-05-03

Title: Basic Sequence Processing Tool for Biological Data
Description: Primarily created as an easy and understanding way to do basic sequences surrounding the central dogma of molecular biology.
Author: Ambu Vijayan [aut, cre] , J. Sreekumar [aut]
Maintainer: Ambu Vijayan <ambuvjyn@gmail.com>

Diff between baseq versions 0.1.4 dated 2023-05-03 and 0.2.0 dated 2026-03-11

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Package IxPopDyMod updated to version 0.4.0 with previous version 0.3.0 dated 2023-10-23

Title: Framework for Tick Population and Infection Modeling
Description: Code to specify, run, and then visualize and analyze the results of Ixodidae (hard-bodied ticks) population and infection dynamics models. Such models exist in the literature, but the source code to run them is not always available. 'IxPopDyMod' provides an easy way for these models to be written and shared.
Author: Myles Stokowski [aut, cre], David Allen [aut]
Maintainer: Myles Stokowski <mylesstokowski@gmail.com>

Diff between IxPopDyMod versions 0.3.0 dated 2023-10-23 and 0.4.0 dated 2026-03-11

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New package SHRED with initial version 1.0.0
Package: SHRED
Title: Setwise Hierarchical Rate of Erroneous Discovery
Version: 1.0.0
Maintainer: Toby Kenney <tkenney@mathstat.dal.ca>
Description: Setwise Hierarchical Rate of Erroneous Discovery (SHRED) methods for setwise variable selection with false discovery rate (FDR) control. Setwise variable selection means that sets of variables may be selected when the true variable cannot be identified. This allows us to maintain FDR control but increase power. Details of the SHRED methods are in Organ, Kenney & Gu (2026) <doi:10.48550/arXiv.2603.02160>.
License: GPL-3
Encoding: UTF-8
Imports: graphics, stats, ClustOfVar
NeedsCompilation: no
Packaged: 2026-03-07 12:42:44 UTC; tkenney
Author: Sarah Organ [aut], Toby Kenney [cre], Hong Gu [aut]
Repository: CRAN
Date/Publication: 2026-03-11 20:00:03 UTC

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New package rmsBMA with initial version 0.1.1
Package: rmsBMA
Title: Reduced Model Space Bayesian Model Averaging
Version: 0.1.1
Description: Implements Bayesian model averaging for settings with many candidate regressors relative to the available sample size, including cases where the number of regressors exceeds the number of observations. By restricting attention to models with at most M regressors, the package supports reduced model space inference, thereby preserving degrees of freedom for estimation. It provides posterior summaries, Extreme Bounds Analysis, model selection procedures, joint inclusion measures, and graphical tools for exploring model probabilities, model size distributions, and coefficient distributions. The methodological approach follows Doppelhofer and Weeks (2009) <doi:10.1002/jae.1046>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Imports: ggplot2, ggpubr, grid, gridExtra, Matrix, stats, tidyr, utils
Depends: R (>= 3.5.0)
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-06 19:53:25 UTC; becku
Author: Krzysztof Beck [aut, cre]
Maintainer: Krzysztof Beck <beckkrzysztof@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-11 19:30:03 UTC

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New package badp with initial version 0.4.0
Package: badp
Title: Bayesian Averaging for Dynamic Panels
Version: 0.4.0
Description: Implements Bayesian model averaging for dynamic panels with weakly exogenous regressors as described in the paper by Moral-Benito (2013, <doi:10.1080/07350015.2013.818003>). The package provides functions to estimate dynamic panel data models and analyze the results of the estimation.
License: MIT + file LICENSE
URL: https://badp-project.github.io/bdsm/, https://github.com/badp-project/bdsm
BugReports: https://github.com/badp-project/bdsm/issues
Encoding: UTF-8
LazyData: true
Suggests: pkgdown, rmarkdown, spelling, testthat (>= 3.0.0)
Imports: dplyr, ggplot2, ggpubr, grid, gridExtra, knitr, magrittr, optimbase, parallel, pbapply, Rcpp, RcppArmadillo, rje, rlang, rootSolve, stats, tidyr, tidyselect
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Depends: R (>= 3.5)
Language: en-US
NeedsCompilation: yes
Packaged: 2026-03-06 22:15:30 UTC; admin
Author: Krzysztof Beck [aut], Piotr Cukier [aut], Marcin Dubel [aut, cre], Mariusz Szczepanczyk [aut], Mateusz Wyszynski [aut]
Maintainer: Marcin Dubel <marcindubel@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-11 19:30:09 UTC

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New package ardlverse with initial version 1.1.2
Package: ardlverse
Title: Comprehensive ARDL Modeling Framework: Panel, Bootstrap, Quantile-Nonlinear, and Fourier Extensions
Version: 1.1.2
Date: 2026-02-26
Description: A unified framework for Autoregressive Distributed Lag (ARDL) modeling and cointegration analysis. Implements Panel ARDL with Pooled Mean Group (PMG), Mean Group (MG), and Dynamic Fixed Effects (DFE) estimators following Pesaran, Shin & Smith (1999) <doi:10.1002/jae.616>. Provides bootstrap-based bounds testing per Pesaran, Shin & Smith (2001) <doi:10.1002/jae.616>. Includes Quantile Nonlinear ARDL (QNARDL) combining distributional and asymmetric effects based on Shin, Yu & Greenwood-Nimmo (2014) <doi:10.1007/978-1-4899-8008-3_9>, and Fourier ARDL for modeling smooth structural breaks following Enders & Lee (2012) <doi:10.1016/j.econlet.2012.05.019>. Features include Augmented ARDL (AARDL) with deferred t and F tests, Multiple-Threshold NARDL for complex asymmetries, Rolling/Recursive ARDL for time-varying relationships, and Panel NARDL for nonlinear panel cointegration. All methods include comprehensive diagnostics, publication-ready outputs, an [...truncated...]
License: GPL-3
URL: https://github.com/muhammedalkhalaf/ardlverse
BugReports: https://github.com/muhammedalkhalaf/ardlverse/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, MASS, quantreg, lmtest, ggplot2, gridExtra, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr
NeedsCompilation: no
Packaged: 2026-03-07 04:24:37 UTC; acad_
Author: Muhammad Abdullah Alkhalaf [aut, cre] , Merwan Roudane [ctb]
Maintainer: Muhammad Abdullah Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-11 19:50:02 UTC

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Package shinyBS updated to version 0.64.0 with previous version 0.63.0 dated 2025-12-17

Title: Extra Twitter Bootstrap Components for Shiny
Description: Adds easy access to additional Twitter Bootstrap components to Shiny.
Author: Eric Bailey [aut], Federico Marini [cre, ctb] , Jesse Koops [ctb]
Maintainer: Federico Marini <marinif@uni-mainz.de>

Diff between shinyBS versions 0.63.0 dated 2025-12-17 and 0.64.0 dated 2026-03-11

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Package rdcmchecks updated to version 0.1.1 with previous version 0.1.0 dated 2025-09-15

Title: Common Argument Checks for 'r-dcm' Packages
Description: Many packages in the 'r-dcm' family take similar arguments, which are checked for expected structures and values. Rather than duplicating code across several packages, commonly used check functions are included here. This package can then be imported to access the check functions in other packages.
Author: W. Jake Thompson [aut, cre] , University of Kansas [cph], Institute of Education Sciences [fnd], Accessible Teaching, Learning, and Assessment Systems [fnd]
Maintainer: W. Jake Thompson <wjakethompson@gmail.com>

Diff between rdcmchecks versions 0.1.0 dated 2025-09-15 and 0.1.1 dated 2026-03-11

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Package prodlim updated to version 2026.03.11 with previous version 2025.04.28 dated 2025-04-28

Title: Product-Limit Estimation for Censored Event History Analysis
Description: Fast and user friendly implementation of nonparametric estimators for censored event history (survival) analysis. Kaplan-Meier and Aalen-Johansen method.
Author: Thomas A. Gerds [aut, cre]
Maintainer: Thomas A. Gerds <tag@biostat.ku.dk>

Diff between prodlim versions 2025.04.28 dated 2025-04-28 and 2026.03.11 dated 2026-03-11

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New package WBI with initial version 0.1.0
Package: WBI
Title: Wasserstein Bipolarization Index
Version: 0.1.0
Description: Computation of the Wasserstein Bipolarization Index as described in Lee and Sobel (Forthcoming) <doi:10.48550/arXiv.2408.03331>. Provides both asymptotic (Sommerfeld, 2017 <https://ediss.uni-goettingen.de/bitstream/handle/11858/00-1735-0000-0023-3FA1-C/DissertationSommerfeldRev.pdf?sequence=1>) and bootstrap methods (Efron and Narasimhan, 2020 <doi:10.1080/10618600.2020.1714633>) for calculating confidence intervals.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: transport, dplyr, bcaboot
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-06 16:32:31 UTC; hanelee
Author: Hane Lee [aut, cre]
Maintainer: Hane Lee <hl3333@columbia.edu>
Repository: CRAN
Date/Publication: 2026-03-11 16:40:11 UTC

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Package rjd3tramoseats updated to version 3.7.1 with previous version 3.6.0 dated 2026-01-27

Title: Seasonal Adjustment with TRAMO-SEATS in 'JDemetra+' 3.x
Description: Interface to 'JDemetra+' 3.x (<https://github.com/jdemetra>) time series analysis software. It offers full access to options and outputs of 'TRAMO-SEATS' (Time series Regression with ARIMA noise, Missing values and Outliers - Signal Extraction in ARIMA Time Series), including 'TRAMO' modelling (ARIMA model with outlier detection and trading days adjustment). ARIMA = AutoRegressive Integrated Moving Average.
Author: Jean Palate [aut], Alain Quartier-la-Tente [aut] , Tanguy Barthelemy [aut, cre, art], Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

Diff between rjd3tramoseats versions 3.6.0 dated 2026-01-27 and 3.7.1 dated 2026-03-11

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New package RFmstate with initial version 0.1.2
Package: RFmstate
Title: Random Forest-Based Multistate Survival Analysis
Version: 0.1.2
Author: Yiqing Chen [aut, cre]
Maintainer: Yiqing Chen <y.chen@tamu.edu>
Description: Fits cause-specific random survival forests for flexible multistate survival analysis with covariate-adjusted transition probabilities computed via product-integral. State transitions are modeled by random forests. Subject-specific transition probability matrices are assembled from predicted cumulative hazards using the product-integral formula. Also provides a standalone Aalen-Johansen nonparametric estimator as a covariate-free baseline. Supports arbitrary state spaces with any number of states (three or more) and any set of allowed transitions, applicable to clinical trials, disease progression, reliability engineering, and other domains where subjects move among discrete states over time. Provides per-transition feature importance, bias-variance diagnostics, and comprehensive visualizations. Handles right censoring and competing transitions. Methods are described in Ishwaran et al. (2008) <doi:10.1214/08-AOAS169> for random survival forests, Putter et al. (2007) <doi:10.10 [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: survival, ranger, stats, graphics, grDevices, utils
Suggests: knitr, rmarkdown, mstate, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-27 16:41:43 UTC; y.chen
Repository: CRAN
Date/Publication: 2026-03-11 16:40:16 UTC

More information about RFmstate at CRAN
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Package nuggets updated to version 2.2.0 with previous version 2.1.2 dated 2026-02-05

Title: Extensible Framework for Data Pattern Exploration
Description: A framework for systematic exploration of association rules (Agrawal et al., 1994, <https://www.vldb.org/conf/1994/P487.PDF>), contrast patterns (Chen, 2022, <doi:10.48550/arXiv.2209.13556>), emerging patterns (Dong et al., 1999, <doi:10.1145/312129.312191>), subgroup discovery (Atzmueller, 2015, <doi:10.1002/widm.1144>), and conditional correlations (Hájek, 1978, <doi:10.1007/978-3-642-66943-9>). User-defined functions may also be supplied to guide custom pattern searches. Supports both crisp (Boolean) and fuzzy data. Generates candidate conditions expressed as elementary conjunctions, evaluates them on a dataset, and inspects the induced sub-data for statistical, logical, or structural properties such as associations, correlations, or contrasts. Includes methods for visualization of logical structures and supports interactive exploration through integrated Shiny applications.
Author: Michal Burda [aut, cre]
Maintainer: Michal Burda <michal.burda@osu.cz>

Diff between nuggets versions 2.1.2 dated 2026-02-05 and 2.2.0 dated 2026-03-11

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Package mvtnorm updated to version 1.3-5 with previous version 1.3-3 dated 2025-01-10

Title: Multivariate Normal and t Distributions
Description: Computes multivariate normal and t probabilities, quantiles, random deviates, and densities. Log-likelihoods for multivariate Gaussian models and Gaussian copulae parameterised by Cholesky factors of covariance or precision matrices are implemented for interval-censored and exact data, or a mix thereof. Score functions for these log-likelihoods are available. A class representing multiple lower triangular matrices and corresponding methods are part of this package.
Author: Alan Genz [aut], Frank Bretz [aut], Tetsuhisa Miwa [aut], Xuefei Mi [aut], Friedrich Leisch [ctb], Fabian Scheipl [ctb], Bjoern Bornkamp [ctb] , Martin Maechler [ctb] , Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mvtnorm versions 1.3-3 dated 2025-01-10 and 1.3-5 dated 2026-03-11

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New package ModalCens with initial version 0.1.0
Package: ModalCens
Title: Parametric Modal Regression with Right Censoring
Version: 0.1.0
Description: Implements parametric modal regression for continuous positive distributions of the exponential family under right censoring. Provides functions to link the conditional mode to a linear predictor using reparameterizations for Gamma, Beta, Weibull, and Inverse Gaussian families. Includes maximum likelihood estimation via numerical optimization, asymptotic inference based on the observed Fisher information matrix, and model diagnostics using randomized quantile residuals.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics
URL: https://github.com/chedgala/ModalCens
BugReports: https://github.com/chedgala/ModalCens/issues
NeedsCompilation: no
Packaged: 2026-03-06 18:12:16 UTC; chedgala
Author: Christian Galarza [aut, cre], Victor Lachos [aut]
Maintainer: Christian Galarza <chedgala@espol.edu.ec>
Repository: CRAN
Date/Publication: 2026-03-11 16:40:22 UTC

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New package ICEHmeasures with initial version 1.0.1
Package: ICEHmeasures
Title: The Equiplot Graph and Complex Inequality Measures
Version: 1.0.1
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>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tidyr, tibble, ggplot2 (>= 3.4.0), survey, rlang, grDevices, car
Suggests: viridisLite
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-06 19:30:43 UTC; Leo
Author: Leonardo Ferreira [aut, cre], Luisa Arroyave [aut]
Maintainer: Leonardo Ferreira <lferreira@equidade.org>
Repository: CRAN
Date/Publication: 2026-03-11 16:50:20 UTC

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New package glasstabs with initial version 0.1.0
Package: glasstabs
Title: Animated Glass-Style Tabs and Multi-Select Filter for 'Shiny'
Version: 0.1.0
Description: Tools for creating animated glassmorphism-style tab navigation and multi-select dropdown filters in 'shiny' applications. The package provides a tab navigation component and a searchable multi-select widget with multiple checkbox indicator styles, select-all controls, and customizable colour themes. The widgets are compatible with standard 'shiny' layouts and 'bs4Dash' dashboards.
License: MIT + file LICENSE
URL: https://github.com/PrigasG/glasstabs, https://prigasg.github.io/glasstabs/
BugReports: https://github.com/PrigasG/glasstabs/issues
Imports: htmltools (>= 0.5.0), shiny (>= 1.7.0)
Suggests: bs4Dash, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-06 19:28:24 UTC; priga
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-11 16:50:08 UTC

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New package earthUI with initial version 0.1.1
Package: earthUI
Title: Interactive 'shiny' GUI for the 'earth' Package
Version: 0.1.1
Description: Provides a 'shiny'-based graphical user interface for the 'earth' package, enabling interactive building and exploration of Multivariate Adaptive Regression Splines (MARS) models. Features include data import from CSV and 'Excel' files, automatic detection of categorical variables, interactive control of interaction terms via an allowed matrix, comprehensive model diagnostics with variable importance and partial dependence plots, and publication-quality report generation via 'Quarto'.
License: AGPL (>= 3)
URL: https://github.com/wcraytor/earthUI
BugReports: https://github.com/wcraytor/earthUI/issues
Depends: R (>= 4.1.0)
Imports: earth (>= 5.3.0), ggplot2, readxl, shiny, stats, tools, utils
Suggests: bslib, callr, DBI, DT, jsonlite, knitr, plotly, quarto, rmarkdown, RSQLite, showtext, sysfonts, testthat (>= 3.0.0), writexl
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-06 19:24:12 UTC; claude-code
Author: William Craytor [aut, cre]
Maintainer: William Craytor <bcraytor@proton.me>
Repository: CRAN
Date/Publication: 2026-03-11 16:50:14 UTC

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Package rtestim updated to version 1.0.2 with previous version 1.0.1 dated 2025-10-24

Title: Estimate the Effective Reproductive Number with Trend Filtering
Description: Use trend filtering, a type of regularized nonparametric regression, to estimate the instantaneous reproduction number, also called Rt. This value roughly says how many new infections will result from each new infection today. Values larger than 1 indicate that an epidemic is growing while those less than 1 indicate decline. For more details about this methodology, see Liu, Cai, Gustafson, and McDonald (2024) <doi:10.1371/journal.pcbi.1012324>.
Author: Daniel J. McDonald [aut, cre, cph], Jiaping Liu [aut], Zhenglun Cai [ctb]
Maintainer: Daniel J. McDonald <daniel@stat.ubc.ca>

Diff between rtestim versions 1.0.1 dated 2025-10-24 and 1.0.2 dated 2026-03-11

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Package ipd updated to version 0.4.1 with previous version 0.4.0 dated 2026-03-06

Title: Inference on Predicted Data
Description: Performs valid statistical inference on predicted data (IPD) using recent methods, where for a subset of the data, the outcomes have been predicted by an algorithm. Provides a wrapper function with specified defaults for the type of model and method to be used for estimation and inference. Further provides methods for tidying and summarizing results. Salerno et al., (2025) <doi:10.1093/bioinformatics/btaf055>.
Author: Stephen Salerno [aut, cre, cph] , Jiacheng Miao [aut], Awan Afiaz [aut], Kentaro Hoffman [aut], Jesse Gronsbell [aut], Jianhui Gao [aut], David Cheng [aut], Anna Neufeld [aut], Qiongshi Lu [aut], Tyler H McCormick [aut], Jeffrey T Leek [aut]
Maintainer: Stephen Salerno <ssalerno@fredhutch.org>

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Package bayesics updated to version 2.1.1 with previous version 2.1.0 dated 2026-02-20

Title: Bayesian Analyses for One- and Two-Sample Inference and Regression Methods
Description: Perform fundamental analyses using Bayesian parametric and non-parametric inference (regression, anova, 1 and 2 sample inference, non-parametric tests, etc.). (Practically) no Markov chain Monte Carlo (MCMC) is used; all exact finite sample inference is completed via closed form solutions or else through posterior sampling automated to ensure precision in interval estimate bounds. Diagnostic plots for model assessment, and key inferential quantities (point and interval estimates, probability of direction, region of practical equivalence, and Bayes factors) and model visualizations are provided. Bayes factors are computed either by the Savage Dickey ratio given in Dickey (1971) <doi:10.1214/aoms/1177693507> or by Chib's method as given in xxx. Interpretations are from Kass and Raftery (1995) <doi:10.1080/01621459.1995.10476572>. ROPE bounds are based on discussions in Kruschke (2018) <doi:10.1177/2515245918771304>. Methods for determining the number of posterior samp [...truncated...]
Author: Daniel K. Sewell [aut, cre, cph] , Alan Arakkal [aut]
Maintainer: Daniel K. Sewell <daniel-sewell@uiowa.edu>

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Package DDESONN updated to version 7.1.11 with previous version 7.1.9 dated 2026-03-03

Title: A Deep Dynamic Experimental Self-Organizing Neural Network Framework
Description: Provides a fully native R deep learning framework for constructing, training, evaluating, and inspecting Deep Dynamic Ensemble Self Organizing Neural Networks at research scale. The core engine is an object oriented R6 class-based implementation with explicit control over layer layout, dimensional flow, forward propagation, back propagation, and transparent optimizer state updates. The framework does not rely on external deep learning back ends, enabling direct inspection of model state, reproducible numerical behavior, and fine grained architectural control without requiring compiled dependencies or graphics processing unit specific run times. Users can define dimension agnostic single layer or deep multi-layer networks without hard coded architecture limits, with per layer configuration vectors for activation functions, derivatives, dropout behavior, and initialization strategies automatically aligned to network depth through controlled replication or truncation. Reproducible workflo [...truncated...]
Author: Mathew William Armitage Fok [aut, cre]
Maintainer: Mathew William Armitage Fok <quiksilver67213@yahoo.com>

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Package cpmr updated to version 0.1.1 with previous version 0.1.0 dated 2024-10-06

Title: Connectome Predictive Modelling in R
Description: Connectome Predictive Modelling (CPM) (Shen et al. (2017) <doi:10.1038/nprot.2016.178>) is a method to predict individual differences in behaviour from brain functional connectivity. 'cpmr' provides a simple yet efficient implementation of this method.
Author: Liang Zhang [aut, cre]
Maintainer: Liang Zhang <psychelzh@outlook.com>

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Package wrProteo updated to version 2.0.0.2 with previous version 1.13.3 dated 2025-08-22

Title: Proteomics Data Analysis Functions
Description: Data analysis of proteomics experiments by mass spectrometry is supported by this collection of functions mostly dedicated to the analysis of (bottom-up) quantitative (XIC) data. Fasta-formatted proteomes (eg from UniProt Consortium <doi:10.1093/nar/gky1049>) can be read with automatic parsing and multiple annotation types (like species origin, abbreviated gene names, etc) extracted. Initial results from multiple software for protein (and peptide) quantitation can be imported (to a common format): MaxQuant (Tyanova et al 2016 <doi:10.1038/nprot.2016.136>), Dia-NN (Demichev et al 2020 <doi:10.1038/s41592-019-0638-x>), Fragpipe (da Veiga et al 2020 <doi:10.1038/s41592-020-0912-y>), ionbot (Degroeve et al 2021 <doi:10.1101/2021.07.02.450686>), MassChroq (Valot et al 2011 <doi:10.1002/pmic.201100120>), OpenMS (Strauss et al 2021 <doi:10.1038/nmeth.3959>), ProteomeDiscoverer (Orsburn 2021 <doi:10.3390/proteomes9010015>), Proline (Bouyssie et a [...truncated...]
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

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Package GGIRread updated to version 1.0.8 with previous version 1.0.7 dated 2025-11-26

Title: Wearable Accelerometer Data File Readers
Description: Reads data collected from wearable acceleratometers as used in sleep and physical activity research. Currently supports file formats: binary data from 'GENEActiv' <https://activinsights.com/>, .bin-format from GENEA devices (not for sale), and .cwa-format from 'Axivity' <https://axivity.com>. Further, it has functions for reading text files with epoch level aggregates from 'Actical', 'Fitbit', 'Actiwatch', 'ActiGraph', and 'PhilipsHealthBand'. Primarily designed to complement R package GGIR <https://CRAN.R-project.org/package=GGIR>.
Author: Vincent T van Hees [aut, cre], Patrick Bos [aut] , Lena Kushleyeva [ctb], Jing Hua Zhao [ctb], Evgeny Mirkes [ctb], Dan Jackson [ctb], Jairo H Migueles [ctb], Medical Research Council UK [cph, fnd], Accelting [cph, fnd]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

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Package blocking updated to version 1.0.2 with previous version 1.0.1 dated 2025-06-18

Title: Various Blocking Methods for Entity Resolution
Description: The goal of 'blocking' is to provide blocking methods for record linkage and deduplication using approximate nearest neighbour (ANN) algorithms and graph techniques. It supports multiple ANN implementations via 'rnndescent', 'RcppHNSW', 'RcppAnnoy', and 'mlpack' packages, and provides integration with the 'reclin2' package. The package generates shingles from character strings and similarity vectors for record comparison, and includes evaluation metrics for assessing blocking performance including false positive rate (FPR) and false negative rate (FNR) estimates. For details see: Papadakis et al. (2020) <doi:10.1145/3377455>, Steorts et al. (2014) <doi:10.1007/978-3-319-11257-2_20>, Dasylva and Goussanou (2021) <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X202100200002>, Dasylva and Goussanou (2022) <doi:10.1007/s42081-022-00153-3>.
Author: Maciej Beresewicz [aut, cre] , Adam Struzik [aut, ctr]
Maintainer: Maciej Beresewicz <maciej.beresewicz@ue.poznan.pl>

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Package accrualPlot updated to version 1.0.10 with previous version 1.0.7 dated 2022-08-16

Title: Accrual Plots and Predictions for Clinical Trials
Description: Tracking accrual in clinical trials is important for trial success. If accrual is too slow, the trial will take too long and be too expensive. If accrual is much faster than expected, time sensitive tasks such as the writing of statistical analysis plans might need to be rushed. 'accrualPlot' provides functions to aid the tracking of accrual and predict when a trial will reach it's intended sample size.
Author: Lukas Buetikofer [cre, aut], Alan G. Haynes [aut]
Maintainer: Lukas Buetikofer <lukas.buetikofer@unibe.ch>

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Package WaterBalanceR updated to version 0.1.20 with previous version 0.1.19 dated 2025-12-19

Title: Calculate High Resolution Water Balance of Starch Potatoes
Description: Calculates the water balance of starch potatoes from Normalized Distance Vegetation Index (NDVI) images, German Weather Service (DWD) reference evapotranspiration, German Weather Service RADOLAN precipitation data and irrigation information. For more details see Piernicke et al. (2025) <doi:10.3390/rs17183227>.
Author: Thomas Piernicke [aut, cre]
Maintainer: Thomas Piernicke <thomasp@gfz.de>

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Package units updated to version 1.0-1 with previous version 1.0-0 dated 2025-10-09

Title: Measurement Units for R Vectors
Description: Support for measurement units in R vectors, matrices and arrays: automatic propagation, conversion, derivation and simplification of units; raising errors in case of unit incompatibility. Compatible with the POSIXct, Date and difftime classes. Uses the UNIDATA udunits library and unit database for unit compatibility checking and conversion. Documentation about 'units' is provided in the paper by Pebesma, Mailund & Hiebert (2016, <doi:10.32614/RJ-2016-061>), included in this package as a vignette; see 'citation("units")' for details.
Author: Edzer Pebesma [aut, cre] , Thomas Mailund [aut], Tomasz Kalinowski [aut], James Hiebert [ctb], Inaki Ucar [aut] , Thomas Lin Pedersen [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between units versions 1.0-0 dated 2025-10-09 and 1.0-1 dated 2026-03-11

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Package sumer updated to version 1.3.0 with previous version 1.2.0 dated 2026-02-28

Title: Sumerian Cuneiform Text Analysis
Description: Provides functions for converting transliterated Sumerian texts to sign names and cuneiform characters, creating and querying dictionaries, analyzing the structure of Sumerian words, and creating translations. Includes a built-in dictionary and supports both forward lookup (Sumerian to English) and reverse lookup (English to Sumerian).
Author: Robin Wellmann [aut, cre]
Maintainer: Robin Wellmann <ro.wellmann@gmail.com>

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Package rjd3x13 updated to version 3.7.1 with previous version 3.6.0 dated 2026-01-27

Title: Seasonal Adjustment with 'X-13' in 'JDemetra+' 3.x
Description: R Interface to 'JDemetra+' 3.x (<https://github.com/jdemetra>) time series analysis software. It offers full access to options and outputs of 'X-13', including Reg-ARIMA modelling (automatic AutoRegressive Integrated Moving Average (ARIMA) model with outlier detection and trading days adjustment) and X-11 decomposition.
Author: Jean Palate [aut], Alain Quartier-la-Tente [aut] , Tanguy Barthelemy [aut, cre, art], Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

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Package rjd3providers updated to version 3.7.1 with previous version 3.6.0 dated 2026-02-20

Title: Interface to 'JDemetra+' 3.x Time Series Analysis Software
Description: Interface to 'JDemetra+' 3.x (<https://github.com/jdemetra>) time series analysis software. It offers full access to txt, csv, xml and spreadsheets files which are meant to be read by 'JDemetra+' Graphical User Interface.
Author: Jean Palate [aut], Alessandro Piovani [aut, cre], Tanguy Barthelemy [ctb, art]
Maintainer: Alessandro Piovani <alessandro.piovani@istat.it>

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Package piecemeal readmission to version 0.2.0 with previous version 0.1.0 dated 2025-09-22

Title: Wrangle Large Simulation Studies
Description: An 'R6' class to set up, run, monitor, collate, and debug large simulation studies comprising many small independent replications and treatment configurations. Parallel processing, reproducibility, fault- and error-tolerance, and ability to resume an interrupted or timed-out simulation study are built in.
Author: Pavel N. Krivitsky [aut, cre]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

This is a re-admission after prior archival of version 0.1.0 dated 2025-09-22

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Package faux readmission to version 1.2.4 with previous version 1.2.3 dated 2025-10-01

Title: Simulation for Factorial Designs
Description: Create datasets with factorial structure through simulation by specifying variable parameters. Extended documentation at <https://www.scienceverse.org/faux/>. Described in DeBruine (2020) <doi:10.5281/zenodo.2669586>.
Author: Lisa DeBruine [aut, cre, cph] , Anna Krystalli [ctb] , Andrew Heiss [ctb]
Maintainer: Lisa DeBruine <debruine@gmail.com>

This is a re-admission after prior archival of version 1.2.3 dated 2025-10-01

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Package CSIndicators updated to version 1.2.0 with previous version 1.1.3 dated 2025-11-24

Title: Climate Services' Indicators Based on Sub-Seasonal to Decadal Predictions
Description: Set of generalised tools for the flexible computation of climate related indicators defined by the user. Each method represents a specific mathematical approach which is combined with the possibility to select an arbitrary time period to define the indicator. This enables a wide range of possibilities to tailor the most suitable indicator for each particular climate service application (agriculture, food security, energy, water management, health...). This package is intended for sub-seasonal, seasonal and decadal climate predictions, but its methods are also applicable to other time-scales, provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with 'CSTools'. This package is described in Pérez-Zanón et al. (2023) <doi:10.1016/j.cliser.2023.100393> and was developed in the context of the H2020 projects MED-GOLD (776467) and S2S4E (776787) projects, as well as the Horizon Europe project MEDEWSA (101 [...truncated...]
Author: Nuria Perez-Zanon [aut] , Chou Chihchung [aut], Llorenc Lledo [aut], Victoria Agudetse [ctb, cre], Eva Rifa [ctb], Gonzalez-Reviriego Nube [ctb], Marcos Rauel [ctb], Palma Lluis [ctb], An-Chi Ho [ctb], Javier Corvillo [ctb], Alberto Bojaly [ctb], Thee [...truncated...]
Maintainer: Victoria Agudetse <victoria.agudetse@bsc.es>

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Package cyclocomp updated to version 1.1.2 with previous version 1.1.1 dated 2023-08-30

Title: Cyclomatic Complexity of R Code
Description: Cyclomatic complexity is a software metric (measurement), used to indicate the complexity of a program. It is a quantitative measure of the number of linearly independent paths through a program's source code. It was developed by Thomas J. McCabe, Sr. in 1976.
Author: Gabor Csardi [aut, cre]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package quickpsy updated to version 0.1.5.2 with previous version 0.1.5.1 dated 2019-10-02

Title: Fits Psychometric Functions for Multiple Groups
Description: Quickly fits and plots psychometric functions (normal, logistic, Weibull or any or any function defined by the user) for multiple groups.
Author: Linares Daniel [aut, cre], L<U+00F3>pez-Moliner Joan [aut]
Maintainer: Linares Daniel <danilinares@gmail.com>

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Package lotri updated to version 1.0.3 with previous version 1.0.2 dated 2025-08-29

Title: A Simple Way to Specify Symmetric, Block Diagonal Matrices
Description: Provides a simple mechanism to specify a symmetric block diagonal matrices (often used for covariance matrices). This is based on the domain specific language implemented in 'nlmixr2' but expanded to create matrices in R generally instead of specifying parts of matrices to estimate. It has expanded to include some matrix manipulation functions that are generally useful for 'rxode2' and 'nlmixr2'.
Author: Matthew L. Fidler [aut, cre] , Mauricio Vargas Sepulveda [ctb] , Bill Denney [ctb]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

Diff between lotri versions 1.0.2 dated 2025-08-29 and 1.0.3 dated 2026-03-11

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Package ILSAmerge updated to version 1.4.0 with previous version 1.3.8 dated 2025-04-10

Title: Merge and Download International Large-Scale Assessments (ILSA) Data
Description: Merges and downloads 'SPSS' data from different International Large-Scale Assessments (ILSA), including: Trends in International Mathematics and Science Study (TIMSS), Progress in International Reading Literacy Study (PIRLS), and others.
Author: Andres Christiansen [aut, cre] , Andres Strello [ctb]
Maintainer: Andres Christiansen <andres.christiansen@iea-hamburg.de>

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Package huge updated to version 1.5 with previous version 1.4 dated 2026-02-19

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 astsa updated to version 2.5 with previous version 2.4 dated 2025-12-15

Title: Applied Statistical Time Series Analysis
Description: Contains data sets and scripts for analyzing time series in both the frequency and time domains including state space modeling as well as supporting the texts Time Series Analysis and Its Applications: With R Examples (5th ed), by R.H. Shumway and D.S. Stoffer. Springer Texts in Statistics, 2025, <DOI:10.1007/978-3-031-70584-7>, and Time Series: A Data Analysis Approach Using R (2nd ed). Chapman-Hall, 2026, <https://www.routledge.com/Time-Series-A-Data-Analysis-Approach-Using-R/Shumway-Stoffer/p/book/9781041031642>. Most scripts are designed to require minimal input to produce aesthetically pleasing output for ease of use in live demonstrations and course work.
Author: David Stoffer [aut, cre], Nicky Poison [ctb, mus, spy]
Maintainer: David Stoffer <stoffer@pitt.edu>

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Package tidyILD updated to version 0.3.0 with previous version 0.2.0 dated 2026-03-05

Title: Tidy Intensive Longitudinal Data Analysis
Description: A reproducible, tidyverse-style framework for intensive longitudinal data analysis in R, with built-in methodological safeguards, provenance tracking, and reporting tools. Encodes time structure, enforces within-between decomposition, provides spacing-aware lags, and integrates diagnostics and visualization. Use ild_prepare(), ild_center(), ild_lag(), and related functions for a unified pipeline from raw EMA/diary data to interpretable models.
Author: Alex Litovchenko [aut, cre]
Maintainer: Alex Litovchenko <al4877@columbia.edu>

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Package rtmpinvi updated to version 0.2.0 with previous version 0.1.0 dated 2026-02-25

Title: Interactive Tabular Matrix Problems via Pseudoinverse Estimation
Description: Provides an interactive wrapper for the 'tmpinv()' function from the 'rtmpinv' package with options extending its functionality to pre- and post-estimation processing and streamlined incorporation of prior cell information. The Tabular Matrix Problems via Pseudoinverse Estimation (TMPinv) is a two-stage estimation method that reformulates structured table-based systems - such as allocation problems, transaction matrices, and input-output tables - as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, TMPinv solves systems with row and column constraints, block structure, and optionally reduced dimensionality by (1) constructing a canonical constraint form and applying a pseudoinverse-based projection, followed by (2) a convex-programming refinement stage to improve fit, coherence, and regularization (e.g., via Lasso, Ridge, or Elastic Net).
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>

Diff between rtmpinvi versions 0.1.0 dated 2026-02-25 and 0.2.0 dated 2026-03-11

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Package rJava updated to version 1.0-15 with previous version 1.0-14 dated 2026-01-20

Title: Low-Level R to Java Interface
Description: Low-level interface to Java VM very much like .C/.Call and friends. Allows creation of objects, calling methods and accessing fields.
Author: Simon Urbanek [aut, cre, cph]
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

Diff between rJava versions 1.0-14 dated 2026-01-20 and 1.0-15 dated 2026-03-11

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Package randotools updated to version 0.2.6 with previous version 0.2.4 dated 2025-12-03

Title: Create Randomization Lists
Description: Randomization lists are an integral component of randomized clinical trials. 'randotools' provides tools to easily create such lists.
Author: Alan G Haynes [aut, cre]
Maintainer: Alan G Haynes <alan.haynes@unibe.ch>

Diff between randotools versions 0.2.4 dated 2025-12-03 and 0.2.6 dated 2026-03-11

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Package presize updated to version 0.3.11 with previous version 0.3.9 dated 2025-11-18

Title: Precision Based Sample Size Calculation
Description: Bland (2009) <doi:10.1136/bmj.b3985> recommended to base study sizes on the width of the confidence interval rather the power of a statistical test. The goal of 'presize' is to provide functions for such precision based sample size calculations. For a given sample size, the functions will return the precision (width of the confidence interval), and vice versa.
Author: Armando Lenz [aut], Alan G. Haynes [cre, aut], Andreas Limacher [aut], Odile Stalder [ctb], Marie Roumet [ctb]
Maintainer: Alan G. Haynes <alan.haynes@unibe.ch>

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Package pgenlibr readmission to version 0.5.5 with previous version 0.5.4 dated 2026-01-17

Title: 'PLINK' 2 Binary (.pgen) Reader
Description: A thin wrapper over 'PLINK' 2's core libraries which provides an R interface for reading .pgen files. A minimal .pvar loader is also included. Chang et al. (2015) <doi:10.1186/s13742-015-0047-8>.
Author: Christopher Chang [aut, cre], Eric Biggers [ctb, cph] , Yann Collet [ctb] , Meta Platforms, Inc. [cph] , Evan Nemerson [ctb, cph] , Przemyslaw Skibinski [ctb] , Nick Terrell [ctb]
Maintainer: Christopher Chang <chrchang@alumni.caltech.edu>

This is a re-admission after prior archival of version 0.5.4 dated 2026-01-17

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Package panelView updated to version 1.2.0 with previous version 1.1.18 dated 2024-06-17

Title: Visualizing Panel Data
Description: Visualizes panel data. It has three main functionalities: (1) it plots the treatment status and missing values in a panel dataset; (2) it visualizes the temporal dynamics of a main variable of interest; (3) it depicts the bivariate relationships between a treatment variable and an outcome variable either by unit or in aggregate. For details, see <doi:10.18637/jss.v107.i07>.
Author: Hongyu Mou [aut], Licheng Liu [aut], Yiqing Xu [aut, cre]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

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Package NNS updated to version 11.6.5 with previous version 11.6.4 dated 2026-01-10

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. 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 dominance and Advanced Monte Carlo sampling. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole [aut, cre], Roberto Spadim [ctb]
Maintainer: Fred Viole <ovvo.open.source@gmail.com>

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Package mlmRev updated to version 1.0-9 with previous version 1.0-8 dated 2020-04-05

Title: Examples from Multilevel Modelling Software Review
Description: Data and examples from a multilevel modelling software review as well as other well-known data sets from the multilevel modelling literature.
Author: Douglas Bates [aut] , Martin Maechler [aut] , Ben Bolker [aut] , Anna Ly [cre]
Maintainer: Anna Ly <annahuynh.ly@utoronto.ca>

Diff between mlmRev versions 1.0-8 dated 2020-04-05 and 1.0-9 dated 2026-03-11

 DESCRIPTION              |   30 -
 MD5                      |   40 -
 build/vignette.rds       |binary
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 inst/doc/MlmSoftRev.pdf  |binary
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 vignettes/MlmSoftRev.Rnw | 1292 +++++++++++++++++++++++------------------------
 vignettes/StarData.Rnw   |  612 +++++++++++-----------
 21 files changed, 2198 insertions(+), 2183 deletions(-)

More information about mlmRev at CRAN
Permanent link

Package LUCIDus updated to version 3.1.0 with previous version 3.0.3 dated 2024-09-23

Title: LUCID with Multiple Omics Data
Description: Implements Latent Unknown Clusters By Integrating Multi-omics Data (LUCID; Peng (2019) <doi:10.1093/bioinformatics/btz667>) for integrative clustering with exposures, multi-omics data, and health outcomes. Supports three integration strategies: early, parallel, and serial. Provides model fitting and tuning, lasso-type regularization for exposure and omics feature selection, handling of missing data, including both sporadic and complete-case patterns, prediction, and g-computation for estimating causal effects of exposures, bootstrap inference for uncertainty estimation, and S3 summary and plot methods. For the multi-omics integration framework, see Jia (2024) <https://journal.r-project.org/articles/RJ-2024-012/RJ-2024-012.pdf>. For the missing-data imputation mechanism, see Jia (2024) <doi:10.1093/bioadv/vbae123>.
Author: Qiran Jia [aut, cre] , Yinqi Zhao [aut] , David Conti [ths] , Jesse Goodrich [ctb]
Maintainer: Qiran Jia <qiranjia@usc.edu>

Diff between LUCIDus versions 3.0.3 dated 2024-09-23 and 3.1.0 dated 2026-03-11

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 LUCIDus-3.1.0/LUCIDus/R/EM_all.R                                            |  537 ++--
 LUCIDus-3.1.0/LUCIDus/R/boot_lucid.R                                        | 1017 +++++++
 LUCIDus-3.1.0/LUCIDus/R/early_estep.R                                       |  303 +-
 LUCIDus-3.1.0/LUCIDus/R/em.R                                                | 1314 ++++------
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 LUCIDus-3.1.0/LUCIDus/tests/testthat/test-lucid-binary-1-layer.R            |   52 
 LUCIDus-3.1.0/LUCIDus/tests/testthat/test-lucid-binary-3-layers.R           |   20 
 LUCIDus-3.1.0/LUCIDus/tests/testthat/test-lucid-binary-5-layers.R           |   24 
 LUCIDus-3.1.0/LUCIDus/tests/testthat/test-lucid-normal-1-layer.R            |   39 
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 LUCIDus-3.1.0/LUCIDus/tests/testthat/test-lucid-normal-5-layers.R           |    4 
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 LUCIDus-3.1.0/LUCIDus/tests/testthat/test-predict-binary-5-layers.R         |   41 
 LUCIDus-3.1.0/LUCIDus/tests/testthat/test-predict-serial-binary-5-layers.R  |   16 
 LUCIDus-3.1.0/LUCIDus/tests/testthat/test-predict-serial-normal-5-layers.R  |   12 
 LUCIDus-3.1.0/LUCIDus/tests/testthat/test-predict_normal_1_layer.R          |    4 
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 LUCIDus-3.1.0/LUCIDus/tests/testthat/test-summary-normal-5-layers.R         |   62 
 LUCIDus-3.1.0/LUCIDus/tests/testthat/test-tune-Serial-binary.R              |  169 -
 LUCIDus-3.1.0/LUCIDus/tests/testthat/test-tune-Serial-normal.R              |  138 -
 LUCIDus-3.1.0/LUCIDus/tests/testthat/test-tune-binary-2-layers.R            |   96 
 LUCIDus-3.1.0/LUCIDus/tests/testthat/test-tune-normal-2-layers.R            |   85 
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 LUCIDus-3.1.0/LUCIDus/tests/testthat/test-verbose-fit-logging.R             |only
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 89 files changed, 5426 insertions(+), 2837 deletions(-)

More information about LUCIDus at CRAN
Permanent link

New package llmjson with initial version 0.1.0
Package: llmjson
Title: Repair Malformed JSON Strings
Version: 0.1.0
Description: Repairs malformed JSON strings, particularly those generated by Large Language Models. Handles missing quotes, trailing commas, unquoted keys, and other common JSON syntax errors.
License: MIT + file LICENSE
URL: https://github.com/DyfanJones/llmjson, https://dyfanjones.r-universe.dev/llmjson
BugReports: https://github.com/DyfanJones/llmjson/issues
Depends: R (>= 4.2)
Suggests: bit64, ellmer, testthat (>= 3.0.0)
SystemRequirements: Cargo (Rust's package manager), rustc
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-03-05 18:19:02 UTC; Dyfan.Jones
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-11 08:40:10 UTC

More information about llmjson at CRAN
Permanent link

Package effectsize updated to version 1.0.2 with previous version 1.0.1 dated 2025-05-27

Title: Indices of Effect Size
Description: Provide utilities to work with indices of effect size for a wide variety of models and hypothesis tests (see list of supported models using the function 'insight::supported_models()'), allowing computation of and conversion between indices such as Cohen's d, r, odds, etc. References: Ben-Shachar et al. (2020) <doi:10.21105/joss.02815>.
Author: Mattan S. Ben-Shachar [aut, cre] , Dominique Makowski [aut] , Daniel Luedecke [aut] , Indrajeet Patil [aut] , Brenton M. Wiernik [aut] , Remi Theriault [aut] , Ken Kelley [ctb], David Stanley [ctb], Aaron Caldwell [ctb] , Jessica Burnett [rev] , Johan [...truncated...]
Maintainer: Mattan S. Ben-Shachar <mattansb@msbstats.info>

Diff between effectsize versions 1.0.1 dated 2025-05-27 and 1.0.2 dated 2026-03-11

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 effectsize-1.0.2/effectsize/NEWS.md                                         |   18 
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 effectsize-1.0.2/effectsize/R/convert_stat_chisq.R                          |  867 ++--
 effectsize-1.0.2/effectsize/R/convert_stat_to_anova.R                       |  689 +--
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More information about effectsize at CRAN
Permanent link

New package easyRaschBayes with initial version 0.1.0
Package: easyRaschBayes
Title: Bayesian Rasch Analysis Using 'brms'
Version: 0.1.0
Description: Reproduces classic Rasch psychometric analysis features using Bayesian item response theory models fitted with 'brms' following Bürkner (2021) <doi:10.18637/jss.v100.i05> and Bürkner (2020) <doi:10.3390/jintelligence8010005>. Supports both dichotomous and polytomous Rasch models. Features include posterior predictive item fit, conditional infit, item-restscore associations, person fit, differential item functioning, local dependence assessment via Q3 residual correlations, dimensionality assessment with residual principal components analysis, person-item targeting plots, item category probability curves, and reliability using relative measurement uncertainty following Bignardi et al. (2025) <doi:10.31234/osf.io/h54k8_v1>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: brms (>= 2.20.0), rlang (>= 1.0.0), dplyr (>= 1.1.0), tidyr (>= 1.3.0), tibble (>= 3.0.0), ggdist, stats, grDevices
Suggests: ggplot2 (>= 3.4.0), ggrepel, patchwork, eRm, testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/pgmj/easyRaschBayes
BugReports: https://github.com/pgmj/easyRaschBayes/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-04 22:45:46 UTC; magnus.johansson.3
Author: Magnus Johansson [aut, cre] , Giacomo Bignardi [ctb]
Maintainer: Magnus Johansson <pgmj@pm.me>
Repository: CRAN
Date/Publication: 2026-03-11 08:10:08 UTC

More information about easyRaschBayes at CRAN
Permanent link

Package Directional updated to version 7.4 with previous version 7.3 dated 2025-10-22

Title: A Collection of Functions for Directional Data Analysis
Description: A collection of functions for directional data (including massive data, with millions of observations) analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include: a) Paine J.P., Preston S.P., Tsagris M. and Wood A.T.A. (2018). "An elliptically symmetric angular Gaussian distribution". Statistics and Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>. b) Tsagris M. and Alenazi A. (2019). "Comparison of discriminant analysis methods on the sphere". Communications in Statistics: Case Studies, Data Analysis and Applications 5(4):467--491. <doi:10.1080/23737484.2019.1684854>. c) Paine J.P., Preston S.P., Tsagris M. and Wood A.T.A. (2020). "Spherical regression models with general covariates and anisotropic errors". Statistics and Computing 30(1): 153--165. <doi:10.1007/s11222-019-09872 [...truncated...]
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut], Christos Adam [aut], Zehao Yu [aut], Anamul Sajib [ctb], Eli Amson [ctb], Micah J. Waldstein [ctb], Panagiotis Papastamoulis [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between Directional versions 7.3 dated 2025-10-22 and 7.4 dated 2026-03-11

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More information about Directional at CRAN
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Package yamlet updated to version 1.3.4 with previous version 1.3.3 dated 2026-03-06

Title: Versatile Curation of Table Metadata
Description: A YAML-based mechanism for working with table metadata. Supports compact syntax for creating, modifying, viewing, exporting, importing, displaying, and plotting metadata coded as column attributes. The 'yamlet' dialect is valid 'YAML' with defaults and conventions chosen to improve readability. See ?yamlet, ?decorate, ?modify, ?io_csv, and ?ggplot.decorated.
Author: Tim Bergsma [aut, cre]
Maintainer: Tim Bergsma <bergsmat@gmail.com>

Diff between yamlet versions 1.3.3 dated 2026-03-06 and 1.3.4 dated 2026-03-11

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Permanent link

Package tidyterra updated to version 1.1.0 with previous version 1.0.0 dated 2026-01-23

Title: 'tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects
Description: Extension of the 'tidyverse' for 'SpatRaster' and 'SpatVector' objects of the 'terra' package. It includes also new 'geom_' functions that provide a convenient way of visualizing 'terra' objects with 'ggplot2'.
Author: Diego Hernangomez [aut, cre, cph] , Dewey Dunnington [ctb] , ggplot2 authors [cph] , Andrea Manica [ctb]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package RcppDE updated to version 0.1.9 with previous version 0.1.8 dated 2025-02-18

Title: Global Optimization by Differential Evolution in C++
Description: An efficient C++ based implementation of the 'DEoptim' function which performs global optimization by differential evolution. Its creation was motivated by trying to see if the old approximation "easier, shorter, faster: pick any two" could in fact be extended to achieving all three goals while moving the code from plain old C to modern C++. The initial version did in fact do so, but a good part of the gain was due to an implicit code review which eliminated a few inefficiencies which have since been eliminated in 'DEoptim'.
Author: Dirk Eddelbuettel [aut, cre] , David Ardia [aut] , Katharine Mullen [aut] , Brian Peterson [aut] , Joshua Ulrich [aut] , Kris Boudt [ctb] , Rainer Storn [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppDE versions 0.1.8 dated 2025-02-18 and 0.1.9 dated 2026-03-11

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Package fastkmedoids updated to version 1.5 with previous version 1.4 dated 2026-02-25

Title: Faster K-Medoids Clustering Algorithms: FastPAM, FastCLARA, FastCLARANS
Description: R wrappers of C++ implementation of Faster K-Medoids clustering algorithms (FastPAM, FastCLARA and FastCLARANS) proposed in Erich Schubert, Peter J. Rousseeuw 2019 <doi:10.1007/978-3-030-32047-8_16>.
Author: Xun Li [aut, cre]
Maintainer: Xun Li <lixun910@gmail.com>

Diff between fastkmedoids versions 1.4 dated 2026-02-25 and 1.5 dated 2026-03-11

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Package countyhealthR updated to version 0.1.5 with previous version 0.1.3 dated 2026-02-25

Title: Programmatic Access to County Health Rankings & Roadmaps Data
Description: Provides a simple interface to pull County Health Rankings & Roadmaps (CHR&R) county-level health data and metadata directly from 'Zenodo' <doi:10.5281/zenodo.18157681>. Users can retrieve data for CHR&R release years 2010 through 2025. CHR&R data support research and decision-making to promote health equity and policies that help all communities thrive.
Author: Hannah Olson-Williams [aut, cre]
Maintainer: Hannah Olson-Williams <hannaheow@gmail.com>

Diff between countyhealthR versions 0.1.3 dated 2026-02-25 and 0.1.5 dated 2026-03-11

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Package BIOMASS updated to version 2.2.7 with previous version 2.2.4-1 dated 2025-10-10

Title: Estimating Aboveground Biomass and Its Uncertainty in Tropical Forests
Description: Contains functions for estimating above-ground biomass/carbon and its uncertainty in tropical forests. These functions allow to (1) retrieve and correct taxonomy, (2) estimate wood density and its uncertainty, (3) build height-diameter models, (4) manage tree and plot coordinates, (5) estimate above-ground biomass/carbon at stand level with associated uncertainty. To cite ‘BIOMASS’, please use citation(‘BIOMASS’). For more information, see Réjou-Méchain et al. (2017) <doi:10.1111/2041-210X.12753>.
Author: Dominique Lamonica [aut, cre], Maxime Rejou-Mechain [aut, dtc], Arthur Bailly [aut], Guillaume Cornu [aut] , John Godlee [ctb], Fabian Fischer [ctb], Jerome Chave [ctb], Arthur Pere [aut], Ariane Tanguy [aut], Camille Piponiot [aut], Bruno Herault [a [...truncated...]
Maintainer: Dominique Lamonica <dominique.lamonica@ird.fr>

Diff between BIOMASS versions 2.2.4-1 dated 2025-10-10 and 2.2.7 dated 2026-03-11

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 BIOMASS-2.2.7/BIOMASS/DESCRIPTION                                                       |   42 
 BIOMASS-2.2.7/BIOMASS/MD5                                                               |  119 +-
 BIOMASS-2.2.7/BIOMASS/NAMESPACE                                                         |    5 
 BIOMASS-2.2.7/BIOMASS/NEWS                                                              |   16 
 BIOMASS-2.2.7/BIOMASS/R/AGBmonteCarlo.R                                                 |  114 +-
 BIOMASS-2.2.7/BIOMASS/R/cacheManager.R                                                  |    4 
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 BIOMASS-2.2.7/BIOMASS/R/data_documentation.R                                            |    8 
 BIOMASS-2.2.7/BIOMASS/R/divide_plot.R                                                   |  239 ++--
 BIOMASS-2.2.7/BIOMASS/R/globals.R                                                       |    7 
 BIOMASS-2.2.7/BIOMASS/R/loglogFunction.R                                                |   65 -
 BIOMASS-2.2.7/BIOMASS/R/michaelisFunction.R                                             |  133 +-
 BIOMASS-2.2.7/BIOMASS/R/modelHD.R                                                       |  227 ++--
 BIOMASS-2.2.7/BIOMASS/R/predictHeight.R                                                 |  202 ++-
 BIOMASS-2.2.7/BIOMASS/R/retrieveH.R                                                     |   34 
 BIOMASS-2.2.7/BIOMASS/R/subplot_summary.R                                               |  557 +++++++---
 BIOMASS-2.2.7/BIOMASS/R/summaryByPlot.R                                                 |    4 
 BIOMASS-2.2.7/BIOMASS/R/weibullFunction.R                                               |  146 +-
 BIOMASS-2.2.7/BIOMASS/R/zzz.R                                                           |    5 
 BIOMASS-2.2.7/BIOMASS/README.md                                                         |    6 
 BIOMASS-2.2.7/BIOMASS/build/partial.rdb                                                 |binary
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 BIOMASS-2.2.7/BIOMASS/man/AGBmonteCarlo.Rd                                              |    6 
 BIOMASS-2.2.7/BIOMASS/man/BIOMASS-package.Rd                                            |    8 
 BIOMASS-2.2.7/BIOMASS/man/HDmethods.Rd                                                  |   63 -
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 BIOMASS-2.2.7/BIOMASS/man/modelHD.Rd                                                    |   73 +
 BIOMASS-2.2.7/BIOMASS/man/predictHeight.Rd                                              |   12 
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 BIOMASS-2.2.7/BIOMASS/man/summaryByPlot.Rd                                              |    4 
 BIOMASS-2.2.7/BIOMASS/tests/testdata                                                    |only
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 BIOMASS-2.2.7/BIOMASS/tests/testthat/test-correctTaxo.R                                 |  120 +-
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 BIOMASS-2.2.7/BIOMASS/tests/testthat/test-modelHD.R                                     |   35 
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 BIOMASS-2.2.7/BIOMASS/vignettes/Vignette_BIOMASS.Rmd                                    |   89 +
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More information about BIOMASS at CRAN
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