Sun, 23 Aug 2026

Package influential updated to version 2.3.2 with previous version 2.3.1 dated 2026-05-28

Title: Identification and Classification of the Most Influential Nodes
Description: Provides functions for the identification, classification, and ranking of influential nodes and candidate features from network and omics data. The package implements the Integrated Value of Influence (IVI) for integrative network centrality analysis, the SIR-based Influence Ranking (SIRIR) model for unsupervised influence ranking, and the Experimental data-based Integrative Ranking (ExIR) model for prioritizing candidate driver, biomarker, and mediator features from experimental omics data. Functions are provided for network reconstruction from adjacency matrices and data frames, topological analysis, centrality calculation, assessment of associations between centrality measures, and conditional probability analysis. ExIR supports bulk and single-cell omics data, including matrices, sparse matrices, data frames, tibbles, and Seurat objects.
Author: Adrian Salavaty [aut, cre] , Mirana Ramialison [ths], Peter D. Currie [ths]
Maintainer: Adrian Salavaty <abbas.salavaty@gmail.com>

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Package Tplyr updated to version 1.4.0 with previous version 1.3.3 dated 2026-06-30

Title: A Traceability Focused Grammar of Clinical Data Summary
Description: A traceability focused tool created to simplify the data manipulation necessary to create clinical summaries.
Author: Eli Miller [aut] , Mike Stackhouse [aut, cre] , Ashley Tarasiewicz [aut], Nathan Kosiba [ctb] , Sadchla Mascary [ctb], Andrew Bates [ctb], Shiyu Chen [ctb], Oleksii Mikryukov [ctb], Atorus Research LLC [cph]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>

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Package spada updated to version 0.1.8 with previous version 0.1.7 dated 2026-07-10

Title: A 'shiny' Package for Data Analysis
Description: Provides a 'shiny' application with a user-friendly interface for interactive data analysis. It supports exploratory data analysis through descriptive statistics, data visualization, statistical tests (e.g., normality assessment), linear modeling, data import, transformation and reporting. For more details see Shapiro and Wilk (1965) <doi:10.2307/2333709>.
Author: Luis Gustavo Schuck [aut, cre]
Maintainer: Luis Gustavo Schuck <luisgustavoschuck@yahoo.com.br>

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Package sdbuildR readmission to version 2.2.3 with previous version 2.2.2 dated 2026-07-17

Title: An Accessible Interface for Stock-and-Flow Modelling
Description: Stock-and-flow models are a computational method from the field of system dynamics. They represent how systems change over time and are mathematically equivalent to ordinary differential equations. 'sdbuildR' (system dynamics builder) provides an intuitive interface for constructing stock-and-flow models without requiring extensive domain knowledge. Models can quickly be simulated and revised, supporting iterative development. 'sdbuildR' simulates models in 'R' and 'Julia', and supports computationally intensive ensemble simulations. Additionally, 'sdbuildR' can import models created in 'Insight Maker' (<https://insightmaker.com/>).
Author: Kyra Caitlin Evers [aut, cre, cph] , STIX Fonts Project Authors [ctb, cph] , SIL Open Font License 1.1)
Maintainer: Kyra Caitlin Evers <kyra.c.evers@gmail.com>

This is a re-admission after prior archival of version 2.2.2 dated 2026-07-17

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Package phonics updated to version 1.4.0 with previous version 1.3.10 dated 2021-07-11

Title: Phonetic Spelling Algorithms
Description: Provides a collection of phonetic algorithms including Soundex, Metaphone, NYSIIS, Caverphone, and others. The package is documented in <doi:10.18637/jss.v095.i08>.
Author: James Howard [aut, cre] , Kyle Haynes [ctb], Amanda Hood [ctb], Os Keyes [ctb]
Maintainer: James Howard <jh@jameshoward.us>

Diff between phonics versions 1.3.10 dated 2021-07-11 and 1.4.0 dated 2026-08-23

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Package educabR updated to version 1.1.0 with previous version 1.0.0 dated 2026-05-27

Title: Download and Process Brazilian Education Data from INEP
Description: Download and process public education data from INEP (Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira). Provides functions to access microdata from the School Census (Censo Escolar), ENEM (Exame Nacional do Ensino Médio), SAEB (Sistema de Avaliação da Educação Básica), Higher Education Census (Censo da Educação Superior), ENADE (Exame Nacional de Desempenho dos Estudantes), ENCCEJA (Exame Nacional para Certificação de Competências de Jovens e Adultos), IDD (Indicador de Diferença entre os Desempenhos Observado e Esperado), CPC (Conceito Preliminar de Curso), IGC (Índice Geral de Cursos), CAPES graduate education data, FUNDEB (Fundo de Manutencao e Desenvolvimento da Educacao Basica), IDEB (Índice de Desenvolvimento da Educação Básica), and other educational datasets. Returns data in tidy format ready for analysis. Data source: INEP Open Data Portal <https://www.gov.br/inep/pt-br/acesso-a-informacao/dados-abertos>.
Author: Sidney da Silva Pereira Bissoli [aut, cre]
Maintainer: Sidney da Silva Pereira Bissoli <sbissoli76@gmail.com>

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Package deconvolveR updated to version 1.2-2 with previous version 1.2-1 dated 2020-08-29

Title: Empirical Bayes Estimation Strategies
Description: Empirical Bayes methods for learning prior distributions from data. An unknown prior distribution (g) has yielded (unobservable) parameters, each of which produces a data point from a parametric exponential family (f). The goal is to estimate the unknown prior ("g-modeling") by deconvolution and Empirical Bayes methods. Details and examples are in the paper by Narasimhan and Efron (2020, <doi:10.18637/jss.v094.i11>).
Author: Bradley Efron [aut], Balasubramanian Narasimhan [aut, cre]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>

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Package TRSbook readmission to version 1.0.4 with previous version 1.0.2 dated 2018-05-10

Title: Companion to the Book "The R Software"
Description: Functions and datasets for readers of the book "The R Software: Fundamentals of Programming and Statistical Analysis" by Lafaye de Micheaux, Drouilhet and Liquet (2013) <doi:10.1007/978-1-4614-9020-3>.
Author: Pierre Lafaye De Micheaux [aut, cre], Remy Drouilhet [aut], Benoit Liquet [aut]
Maintainer: Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>

This is a re-admission after prior archival of version 1.0.2 dated 2018-05-10

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Package tram updated to version 1.4-5 with previous version 1.4-4 dated 2026-07-16

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt' (<DOI:10.32614/CRAN.package.mlt>, <DOI:10.32614/CRAN.package.mlt.docreg>). Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, <DOI:10.1093/biostatistics/kxac048>) and a tutorial explains applications in survival analysis (Siegfried et al., 2025, <DOI:10.48550/arXiv.2402.06428>). Multivariate conditional transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) and shift-scale transformation models (Siegfried et al, 2023, <DOI:10.108 [...truncated...]
Author: Torsten Hothorn [aut, cre] , Luisa Barbanti [ctb] , Sandra Siegfried [aut] , Lucas Kook [aut] , Susanne Dandl [ctb] , Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package slim updated to version 0.1.2 with previous version 0.1.1 dated 2017-05-15

Title: Singular Linear Models for Longitudinal Data
Description: Fits singular linear models to longitudinal data. Singular linear models are useful when the number, or timing, of longitudinal observations may be informative about the observations themselves. They are described in Farewell (2010) <doi:10.1093/biomet/asp068>, and are extensions of the linear increments model <doi:10.1111/j.1467-9876.2007.00590.x> to general longitudinal data.
Author: Daniel Farewell [aut, cre]
Maintainer: Daniel Farewell <farewelld@cardiff.ac.uk>

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Package PEAXAI updated to version 1.0.3 with previous version 1.0.2 dated 2026-06-01

Title: Probabilistic Efficiency Analysis Using Explainable Artificial Intelligence
Description: Provides a probabilistic framework that integrates Data Envelopment Analysis (DEA) (Banker et al., 1984) <doi:10.1287/mnsc.30.9.1078> with machine learning classifiers (Kuhn, 2008) <doi:10.18637/jss.v028.i05> to estimate both the (in)efficiency status and the probability of efficiency for decision-making units. The approach trains predictive models on DEA-derived efficiency labels (Charnes et al., 1985) <doi:10.1016/0304-4076(85)90133-2>, enabling explainable artificial intelligence (XAI) workflows with global and local interpretability tools, including permutation importance (Molnar et al., 2018) <doi:10.21105/joss.00786>, Shapley value explanations (Strumbelj & Kononenko, 2014) <doi:10.1007/s10115-013-0679-x>, and sensitivity analysis (Cortez, 2011) <https://CRAN.R-project.org/package=rminer>. The framework also supports probability-threshold peer selection and counterfactual improvement recommendations for benchmarking and policy evaluation. T [...truncated...]
Author: Ricardo Gonzalez Moyano [cre, aut] , Juan Aparicio [aut] , Jose Luis Zofio [aut] , Victor Espana [aut]
Maintainer: Ricardo Gonzalez Moyano <ricardo.gonzalezm@umh.es>

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New package orthoMTL with initial version 0.1.0
Package: orthoMTL
Title: Multi-Task Learning with Orthogonal Constraints
Version: 0.1.0
Description: Fits regularised multi-task learning models where relationships between tasks are controlled via orthogonality or disjoint-support constraints. Supports regression, binary classification, and censored survival data. In survival mode, time-to-event outcomes are converted into binary labels at user-defined thresholds, enabling the discovery of features with time-varying effects that standard proportional-hazards models cannot detect. Implements the penalty described in Vervier et al. (2014) <https://hal.science/hal-00985654>.
License: GPL-3
Encoding: UTF-8
Imports: parallel, doParallel, foreach, ggplot2, rlang, stats
VignetteBuilder: knitr
Suggests: knitr, glmnet, testthat (>= 3.0.0), survival, rmarkdown
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2026-08-07 13:45:33 UTC; Shadow
Author: Kevin Vervier [aut, cre], Novartis Pharma AG [cph, fnd]
Maintainer: Kevin Vervier <kevin.vervier@novartis.com>
Repository: CRAN
Date/Publication: 2026-08-23 10:10:02 UTC

More information about orthoMTL at CRAN
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Package OptimalBinningWoE updated to version 1.13.3 with previous version 1.0.8 dated 2026-01-29

Title: Optimal Binning and Weight of Evidence Framework for Modeling
Description: High-performance implementation of 37 optimal binning algorithms (16 categorical, 21 numerical) for Weight of Evidence ('WoE') transformation, credit scoring, and risk modeling. Includes advanced methods such as Mixed Integer Linear Programming ('MILP'), Genetic Algorithms, Simulated Annealing, and Monotonic Regression. Features automatic method selection based on Information Value ('IV') maximization, strict monotonicity enforcement, and efficient handling of large datasets via 'Rcpp'. Provides automated variable screening by Information Value strength and bin ordering, and generation of the equivalent 'SQL' 'CASE' expressions for in-database scoring. Fully integrated with the 'tidymodels' ecosystem for building robust machine learning pipelines. Based on methods described in Siddiqi (2006) <doi:10.1002/9781119201731> and Navas-Palencia (2020) <doi:10.48550/arXiv.2001.08025>.
Author: Jose Evandeilton Lopes [aut, cre, cph]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>

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

Title: Marginalization over Incomplete Auxiliaries
Description: Implements methods to estimate conditional outcome means in settings with missingness-not-at-random and incomplete auxiliary variables. Specifically, this package implements the marginalization over incomplete auxiliaries (MIA) method proposed by Mathur et al. (2026) <doi:10.13140/RG.2.2.30750.19524>. The package supports the iterative conditional expectation estimator and the noniterative conditional expectation estimator.
Author: Sean McGrath [aut, cre] , Shaun Seaman [aut] , Willi Zhang [aut] , Ilya Shpitser [aut] , Maya Mathur [aut]
Maintainer: Sean McGrath <sean.mcgrath514@gmail.com>

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Package LeLogicielR readmission to version 1.2.3 with previous version 1.2.1 dated 2018-05-17

Title: Companion to the Book Le Logiciel R
Description: Functions and datasets for readers of the book "Le logiciel R: Maitriser le langage, Effectuer des analyses statistiques" by Lafaye de Micheaux, Drouilhet and Liquet (2011) <doi:10.1007/978-2-8178-0115-5>. The documentation and help pages are written in French.
Author: Pierre Lafaye De Micheaux [aut, cre], Remy Drouilhet [aut], Benoit Liquet [aut]
Maintainer: Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>

This is a re-admission after prior archival of version 1.2.1 dated 2018-05-17

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Package ivdtools updated to version 0.1.3 with previous version 0.1.2 dated 2026-08-20

Title: Statistical Tools for Evaluation of in Vitro Diagnostic Reagents
Description: Provides statistical workflows used in the evaluation of in vitro diagnostic reagents. Facilities include method comparison and Bland-Altman analysis, receiver operating characteristic analysis, qualitative agreement, precision and variance-component analysis, reference intervals, stability studies, quality-control charts, curve fitting, analytical sensitivity, outlier and normality assessment, and sample-size calculations. For methodological details, see Bland and Altman (1986) <doi:10.1016/S0140-6736(86)90837-8>, Passing and Bablok (1983) <doi:10.1515/cclm.1983.21.11.709>, Linnet (1993) <doi:10.1093/clinchem/39.3.424>, Hanley and McNeil (1982) <doi:10.1148/radiology.143.1.7063747>, Horn et al. (1998) <doi:10.1093/clinchem/44.3.622>, Westgard et al. (1981) <doi:10.1093/clinchem/27.3.493>, and Lu et al. (2016) <doi:10.1515/ijb-2015-0039>.
Author: hiox-tech [cph, aut, cre]
Maintainer: hiox-tech <GeorgeBinDragon@outlook.com>

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New package inedemogR with initial version 0.1.0
Package: inedemogR
Title: Tidy Access to Spanish INE Demographic Data
Version: 0.1.0
Description: Provides tidy, harmonized access to demographic data from the Spanish National Statistics Institute (INE) fenomenos demograficos domain, including population, births, and deaths, retrieved live via the official 'ineapir' API wrapper, with optional spatial integration at municipality and province level via 'mapSpain'. Mortality indicators follow the Human Mortality Database Methods Protocol, including the average age at death in infancy method of Andreev and Kingkade (2015) <doi:10.4054/DemRes.2015.33.13>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, httr2, ineapir, mapSpain, purrr, readr, rlang, scales, sf, stringi, stringr, tibble, tidyr
Suggests: mockery, R.rsp, testthat (>= 3.0.0), withr
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2026-08-20 06:34:41 UTC; josecaro
Author: J. R. Caro-Barrera [aut, cre, cph]
Maintainer: J. R. Caro-Barrera <jrcaro@uco.es>
Repository: CRAN
Date/Publication: 2026-08-23 10:30:08 UTC

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Package gpboost updated to version 1.7.4 with previous version 1.7.2 dated 2026-08-19

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

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Package gp3sequences updated to version 0.3.0 with previous version 0.1.0 dated 2026-07-30

Title: Transparent Analysis of Ordered Categorical Sequences
Description: Provides transparent, reproducible, and auditable tools for validating, preparing, encoding, summarising, comparing, modelling, and diagnosing ordered categorical sequence data. Supports explicit preprocessing policies, contiguous motifs and bounded subsequences, consensus and group comparisons, edit and transition distances, clustering and stability diagnostics, transition networks, higher-order models, categorical, mixture, multichannel, and covariate hidden Markov models, longitudinal panel workflows, time-varying models, design-aware inference, analysis contracts and provenance audits, and guarded adapters to specialist sequence-analysis packages.
Author: Stefanos Balaskas [aut, cre]
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>

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More information about gp3sequences at CRAN
Permanent link

Package gp3ml updated to version 0.3.0 with previous version 0.1.0 dated 2026-07-30

Title: Governance-First Predictive Modelling for 'Gazepoint' Research
Description: Provides governance-first infrastructure for leakage-resistant predictive modelling and validation using 'Gazepoint'-derived research data. Supports explicit task and role declarations, feature-provenance manifests, group-aware holdout splitting and repeated resampling, repository-aware fold evaluation, explicit governed tuning, nested grouped resampling, fold-local preprocessing, discrimination and calibration metrics, target-aligned uncertainty, external-validation and transportability reports, prediction-to-decision governance, target-aware conformal prediction, dataset-shift auditing, locked analysis plans, portable model artifacts, robustness diagnostics, environment provenance, research-object export, model cards, and reproducibility evidence. Intended only for explicitly observed, non-sensitive outcomes and declared scientific purposes. Use is prohibited for person identification, biometric authentication, health or protected-attribute inference, and direct or indirect inference [...truncated...]
Author: Stefanos Balaskas [aut, cre]
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>

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More information about gp3ml at CRAN
Permanent link

Package gp3bayes updated to version 0.5.0 with previous version 0.1.1 dated 2026-08-09

Title: Contract-First Bayesian Workflows for Hierarchical Behavioural Data
Description: Provides transparent, contract-first infrastructure for Bayesian analysis of repeated-measures and hierarchical behavioural data. It supports approved Bernoulli-logit, positive lognormal duration, and governed Gaussian dynamic-pupillometry workflows with strict readiness auditing, deterministic simulation, explicit preparation and transformation replay, inspectable scale-aware priors, prior and posterior predictive checks, restricted optional fitting through 'brms' with either 'rstan' or 'cmdstanr', sampling and temporal diagnostics, explicit posterior estimands, sensitivity analysis, target-specific predictive validation, simulation-based calibration, and conservative reporting. Core contracts and validation remain backend-independent. Version 0.5 adds governed robust and distributional dynamic pupillometry, bounded ARMA residual structures, Gaussian-process trajectories, explicit measurement uncertainty and missing-data models, joint binocular analysis, predictive model comparison, f [...truncated...]
Author: Stefanos Balaskas [aut, cre, cph]
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>

Diff between gp3bayes versions 0.1.1 dated 2026-08-09 and 0.5.0 dated 2026-08-23

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Package FPScausal updated to version 0.1.1 with previous version 0.1.0 dated 2026-08-09

Title: Functional Propensity Score for Causal Inference
Description: Implements functional propensity score (FPS) weighting for causal inference with functional treatments. The method estimates weights that balance observed confounders by removing their dependence on the functional treatment and uses a dual formulation of the weighting problem for efficient unconstrained optimization. The framework supports scalar, binary, and functional outcomes, as well as functional covariates, and can be used to estimate marginal causal effects in settings with time-varying exposures. The methodology follows Ciardulli, S., Fontana, N., Vantini, S., and Ieva, F. (2026) "Generalized propensity score weighting for functional causal inference framework" <doi:10.48550/arXiv.2608.03200>.
Author: Nicole Fontana [aut, cre], Simone Ciardulli [aut], Simone Vantini [ths], Francesca Ieva [ths]
Maintainer: Nicole Fontana <nicole.fontana@polimi.it>

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Package fitzRoy updated to version 1.8.0 with previous version 1.7.0 dated 2026-03-12

Title: Easily Scrape and Process AFL Data
Description: An easy package for scraping and processing Australia Rules Football (AFL) data. 'fitzRoy' provides a range of functions for accessing publicly available data from 'AFL Tables' <https://afltables.com/afl/afl_index.html>, 'Footy Wire' <https://www.footywire.com> and 'The Squiggle' <https://squiggle.com.au>. Further functions allow for easy processing, cleaning and transformation of this data into formats that can be used for analysis.
Author: James Day [cre, aut], Robert Nguyen [aut], Matthew Erbs [ctb], Oscar Lane [aut], Jason Zivkovic [ctb], Jacob Holden [ctb]
Maintainer: James Day <jamesthomasday@gmail.com>

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Package dRiftDM updated to version 0.3.3 with previous version 0.3.2 dated 2026-06-06

Title: Estimating (Time-Dependent) Drift Diffusion Models
Description: Fit and explore Drift Diffusion Models (DDMs), a common tool in psychology for describing decision processes in simple tasks. It can handle both time-independent and time-dependent DDMs. You either choose prebuilt models or create your own, and the package takes care of model predictions and parameter estimation. Model predictions are derived via the numerical solutions provided by Richter, Ulrich, and Janczyk (2023, <doi:10.1016/j.jmp.2023.102756>).
Author: Valentin Koob [cre, aut, cph], Thomas Richter [aut, cph], Markus Janczyk [aut]
Maintainer: Valentin Koob <v.koob@web.de>

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Package caverify updated to version 0.1.3 with previous version 0.1.2 dated 2026-08-20

Title: Fast Strength-t Coverage Verification for Covering Arrays
Description: Verifies that an array covers every t-way interaction, the certificate check for covering arrays, using compiled C code with optional 'OpenMP' threading. Missing values are treated as wildcard ("flexible") entries that count as every symbol. Designed to be easy to embed in other packages: a single C file with a registered .Call entry point and one R wrapper.
Author: Christopher Smolen [aut, cre]
Maintainer: Christopher Smolen <chrispbsmolen@gmail.com>

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Package balnet updated to version 0.0.4 with previous version 0.0.3 dated 2026-05-25

Title: Pathwise Estimation of Covariate Balancing Propensity Scores
Description: Provides pathwise estimation of regularized logistic propensity score models using covariate balancing loss functions rather than maximum likelihood. Regularization paths are fit via the 'adelie' elastic-net solver with a 'glmnet'-like interface, yielding balancing weights that target covariate balance for the ATE and ATT. Under lasso penalization, lambda bounds the maximum covariate imbalance, so the regularization path traces a sequence of decreasing imbalance tolerances. For details, see Sverdrup & Hastie (2026) <doi:10.48550/arXiv.2602.18577>.
Author: Erik Sverdrup [aut, cre], Trevor Hastie [aut], James Yang [ctb]
Maintainer: Erik Sverdrup <erik.sverdrup@gmail.com>

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Package weightedScores updated to version 0.9.5.4 with previous version 0.9.5.3 dated 2020-03-23

Title: Weighted Scores Method for Regression Models with Dependent Data
Description: The weighted scores method and composite likelihood information criteria as an intermediate step for variable/correlation selection for longitudinal ordinal and count data in Nikoloulopoulos, Joe and Chaganty (2011) <doi:10.1093/biostatistics/kxr005>, Nikoloulopoulos (2016) <doi:10.1002/sim.6871> and Nikoloulopoulos (2017) <doi:10.1080/00949655.2020.1759602>.
Author: Aristidis K. Nikoloulopoulos [aut, cre], Harry Joe [aut]
Maintainer: Aristidis K. Nikoloulopoulos <a.nikoloulopoulos@uea.ac.uk>

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Package qshap updated to version 2.0.0 with previous version 1.0.1 dated 2026-05-04

Title: Fast Calculation of Feature Contributions in Boosting Trees
Description: Computes feature-specific R-squared (R2) contributions for boosting tree models using a Shapley-value-based decomposition of the total R-squared in polynomial time. Supports models fitted with 'XGBoost', 'LightGBM', and 'CatBoost', with optimized backend-specific implementations and cached tree summaries suitable for large-scale problems. Multiple visualization tools are included for interpreting and communicating feature contributions. The methodology is described in Jiang, Zhang, and Zhang (2025) <doi:10.48550/arXiv.2407.03515>. Optional 'CatBoost' support uses the R package 'catboost', which is not distributed on CRAN; installation instructions and released binaries are provided by the CatBoost project at <https://catboost.ai/docs/en/concepts/r-installation>.
Author: Steven He [aut], Zhongli Jiang [aut, cre], Dabao Zhang [aut]
Maintainer: Zhongli Jiang <zhongli.jiang.stats@gmail.com>

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Package planr updated to version 0.6.5 with previous version 0.6.4 dated 2026-03-28

Title: Tools for Supply Chain Management, Demand and Supply Planning
Description: Perform flexible and quick calculations for Demand and Supply Planning, such as projected inventories and coverages, as well as replenishment plan. For any time bucket, daily, weekly or monthly, and any granularity level, product or group of products.
Author: Nicolas Nguyen [aut, cre]
Maintainer: Nicolas Nguyen <nikonguyen@yahoo.fr>

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Package betaselectr updated to version 0.2.3 with previous version 0.2.2 dated 2026-07-11

Title: Betas-Select in Structural Equation Models and Linear Models
Description: It computes betas-select, coefficients after standardization in structural equation models and regression models, standardizing only selected variables. Supports models with moderation, with product terms formed after standardization. It also offers confidence intervals that account for standardization, including bootstrap confidence intervals as proposed by Cheung et al. (2022) <doi:10.1037/hea0001188>. An introduction to the package can be found in Sun et al. (2026) <doi:10.1080/00273171.2026.2672692>.
Author: Shu Fai Cheung [aut, cre] , Rong Wei Sun [aut] , Florbela Chang [aut] , Wendie Yang [aut] , Sing-Hang Cheung [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package mlr3fselect updated to version 1.7.0 with previous version 1.6.0 dated 2026-05-21

Title: Feature Selection for 'mlr3'
Description: Feature selection package of the 'mlr3' ecosystem. It selects the optimal feature set for any 'mlr3' learner. The package works with several optimization algorithms e.g. Random Search, Recursive Feature Elimination, and Genetic Search. Moreover, it can automatically optimize learners and estimate the performance of optimized feature sets with nested resampling.
Author: Marc Becker [aut, cre] , Patrick Schratz [aut] , Michel Lang [aut] , Bernd Bischl [aut] , John Zobolas [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package easyRasch2 updated to version 1.2.0 with previous version 1.1.1 dated 2026-08-04

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>

Diff between easyRasch2 versions 1.1.1 dated 2026-08-04 and 1.2.0 dated 2026-08-23

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Package adbcdrivermanager updated to version 0.24.0-2 with previous version 0.24.0-1 dated 2026-07-30

Title: 'Arrow' Database Connectivity ('ADBC') Driver Manager
Description: Provides a developer-facing interface to 'Arrow' Database Connectivity ('ADBC') for the purposes of driver development, driver testing, and building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between adbcdrivermanager versions 0.24.0-1 dated 2026-07-30 and 0.24.0-2 dated 2026-08-23

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Package vetiver updated to version 0.2.8 with previous version 0.2.7 dated 2025-12-13

Title: Version, Share, Deploy, and Monitor Models
Description: The goal of 'vetiver' is to provide fluent tooling to version, share, deploy, and monitor a trained model. Functions handle both recording and checking the model's input data prototype, and predicting from a remote API endpoint. The 'vetiver' package is extensible, with generics that can support many kinds of models.
Author: Julia Silge [cre, aut] , Posit Software, PBC [cph, fnd]
Maintainer: Julia Silge <julia.silge@posit.co>

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Package unvs.med updated to version 1.1.2 with previous version 1.1.1 dated 2026-06-30

Title: A Universal Approach for Causal Mediation Analysis
Description: This program realizes a universal estimation approach that accommodates multi-category variables and effect scales, making up for the deficiencies of the existing approaches when dealing with non-binary exposures and complex models. The estimation via bootstrapping can simultaneously provide results of causal mediation on risk difference (RD), odds ratio (OR) and risk ratio (RR) scales with tests of the effects' difference. The estimation is also applicable to many other settings, e.g., moderated mediation, inconsistent covariates, panel data, etc. The high flexibility and compatibility make it possible to apply for any type of model, greatly meeting the needs of current empirical researches.
Author: Tianbao Zhou [aut, cre], Xinghao Li [aut]
Maintainer: Tianbao Zhou <michaelzhou@buaa.edu.cn>

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Package gkwdist updated to version 1.1.5 with previous version 1.1.4 dated 2026-05-28

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

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Package arrow updated to version 25.0.1 with previous version 25.0.0 dated 2026-07-16

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut], Ian Cook [aut], Nic Crane [aut], Dewey Dunnington [aut] , Romain Francois [aut] , Jonathan Keane [aut, cre], Bryce Mecum [aut], Dragoș Moldovan-Gruenfeld [aut], Jeroen Ooms [aut], Jacob Wujciak-Jens [aut], Javier Luraschi [ctb], [...truncated...]
Maintainer: Jonathan Keane <jkeane@gmail.com>

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Package qvivid (with last version 0.1.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2026-08-09 0.1.2

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Package sdbuildR (with last version 2.2.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2026-07-17 2.2.2
2026-06-16 2.0.0
2025-11-19 1.0.8
2025-11-03 1.0.7
2025-10-29 1.0.5

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Package smqf updated to version 1.1-7 with previous version 1.1-1 dated 2026-06-01

Title: Statistical Methods for Quantitative Finance
Description: Provides data and functions used in the book "Statistical Methods for Quantitative Finance" by David Ardia (2026).
Author: David Ardia [aut, cre, cph, fnd] , Marius Hofert [ctb, cph] , Kurt Hornik [ctb, cph] , Alexander J. McNeil [ctb, cph] , Dries Cornilly [ctb, cph] was ported under GPL-2 | GPL-3), Kris Boudt [ctb, cph] was ported under GPL-2 | GPL-3)
Maintainer: David Ardia <david.ardia.ch@gmail.com>

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Package causaldef updated to version 0.2.1 with previous version 0.2.0 dated 2026-03-31

Title: Decision-Theoretic Causal Diagnostics via Experiment Deficiency
Description: Implements a deficiency-theoretic framework for causal inference, grounded in the classical theory of statistical experiment comparison, as described in Akdemir (2026) <doi:10.5281/zenodo.21877511>. Provides theorem-backed bounds together with computable proxy diagnostics for information loss from confounding, selection bias, and distributional shift. Supports continuous, binary, count, survival, and competing risks outcomes. Key features include propensity-score total-variation deficiency proxies, negative control diagnostics, policy regret bounds, and sensitivity analysis via confounding frontiers.
Author: Deniz Akdemir [aut, cre]
Maintainer: Deniz Akdemir <deniz.akdemir.work@gmail.com>

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Package autoFC updated to version 1.0.0.1100 with previous version 1.0.0.1002 dated 2026-07-14

Title: Automatic Toolkit for Construction, Optimization, Scoring and Simulation of Forced-Choice Tests
Description: Forced-choice (FC) response has gained increasing popularity and interest for its resistance to faking when well-designed (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>). To established well-designed FC scales, typically each item within a block should measure different trait and have similar level of social desirability (Zhang et al., 2020 <doi:10.1177/1094428119836486>). Recent study also suggests the importance of high inter-item agreement of social desirability between items within a block (Pavlov et al., 2021 <doi:10.31234/osf.io/hmnrc>). In addition to this, FC developers may also need to maximize factor loading differences (Brown & Maydeu-Olivares, 2011 <doi:10.1177/0013164410375112>) or minimize item location differences (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>) depending on scoring models. Decision of which items should be assigned to the same block, also called as item pairing, is thus critical to the quality of an FC test. Becau [...truncated...]
Author: Mengtong Li [cre, aut] , Tianjun Sun [aut] , Bo Zhang [aut]
Maintainer: Mengtong Li <mt_li@fudan.edu.cn>

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Package ForeCA updated to version 0.2.8-1 with previous version 0.2.7 dated 2020-06-29

Title: Forecastable Component Analysis
Description: Implementation of Forecastable Component Analysis ('ForeCA'), including main algorithms and auxiliary function (summary, plotting, etc.) to apply 'ForeCA' to multivariate time series data. 'ForeCA' is a novel dimension reduction (DR) technique for temporally dependent signals. Contrary to other popular DR methods, such as 'PCA' or 'ICA', 'ForeCA' takes time dependency explicitly into account and searches for the most ''forecastable'' signal. The measure of forecastability is based on the Shannon entropy of the spectral density of the transformed signal.
Author: Georg M. Goerg [aut, cre]
Maintainer: Georg M. Goerg <im@gmge.org>

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Package expm updated to version 1.0-1 with previous version 1.0-0 dated 2024-08-19

Title: Matrix Exponential, Log, 'etc'
Description: Computation of the matrix exponential, logarithm, sqrt, and related quantities, using traditional and modern methods.
Author: Martin Maechler [aut, cre] , Christophe Dutang [aut] , Vincent Goulet [aut] , Douglas Bates [ctb] , David Firth [ctb] ), Marina Shapira [ctb] ), Michael Stadelmann [ctb]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package clarabel updated to version 0.11.3 with previous version 0.11.2 dated 2026-03-01

Title: Interior Point Conic Optimization Solver
Description: A versatile interior point solver that solves linear programs (LPs), quadratic programs (QPs), second-order cone programs (SOCPs), semidefinite programs (SDPs), and problems with exponential and power cone constraints (<https://clarabel.org/stable/>). For quadratic objectives, unlike interior point solvers based on the standard homogeneous self-dual embedding (HSDE) model, Clarabel handles quadratic objective without requiring any epigraphical reformulation of its objective function. It can therefore be significantly faster than other HSDE-based solvers for problems with quadratic objective functions. Infeasible problems are detected using using a homogeneous embedding technique.
Author: Balasubramanian Narasimhan [aut, cre], Paul Goulart [aut, cph], Yuwen Chen [aut], Hiroaki Yutani [ctb] , David Zimmermann-Kollenda [ctb] , The authors of the dependency Rust crates [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

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Sat, 22 Aug 2026

Package KSgeneral updated to version 2.1.0 with previous version 2.0.2 dated 2024-07-29

Title: Computing P-Values of the One-Sample K-S Test and the Two-Sample K-S and Kuiper Tests for (Dis)Continuous Null Distribution
Description: Contains functions to compute p-values for the one-sample and two-sample Kolmogorov-Smirnov (KS) tests and the two-sample Kuiper test for any fixed critical level and arbitrary (possibly very large) sample sizes. For the one-sample KS test, this package implements a novel, accurate and efficient method named Exact-KS-FFT, which allows the pre-specified cumulative distribution function under the null hypothesis to be continuous, purely discrete or mixed. In the two-sample case, it is assumed that both samples come from an unspecified (unknown) continuous, purely discrete or mixed distribution, i.e. ties (repeated observations) are allowed, and exact p-values of the KS and the Kuiper tests are computed. Note, the two-sample Kuiper test is often used when data samples are on the line or on the circle (circular data). To cite this package in publication: (for the use of the one-sample KS test) Dimitrina S. Dimitrova, Vladimir K. Kaishev, and Senren Tan. Computing the Kolmogorov-Smirnov Dis [...truncated...]
Author: Dimitrina S. Dimitrova [aut, cre], Yun Jia [aut], Vladimir K. Kaishev [aut], Senren Tan [aut]
Maintainer: Dimitrina S. Dimitrova <D.Dimitrova@city.ac.uk>

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Package greenSD updated to version 0.2.2 with previous version 0.2.0 dated 2026-06-25

Title: Access and Analyze Global GreenSpace Spatial Data
Description: Access and analyze multi-band greenspace seasonality data cubes (available for 1,028 major global cities), global Normalized Difference Vegetation Index / land cover data from the European Space Agency WorldCover 10m Dataset, and Sentinel-2-l2a images. Users can download data using bounding boxes, city names, and filter by year or seasonal time window. The package also supports calculating human exposure to greenspace using a population-weighted greenspace exposure model introduced by Chen et al. (2022) <doi:10.1038/s41467-022-32258-4> based on Global Human Settlement Layer population data, and calculating a set of greenspace morphology metrics at patch and landscape levels.
Author: Xiaohao Yang [aut, cre, cph]
Maintainer: Xiaohao Yang <xiaohaoy111@gmail.com>

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Package fqardl updated to version 1.0.4 with previous version 1.0.2 dated 2026-03-17

Title: Fourier ARDL Methods: Quantile, Nonlinear, Multi-Threshold & Unit Root Tests
Description: Comprehensive implementation of advanced ARDL methodologies for cointegration analysis with structural breaks and asymmetric effects. Includes: (1) Fourier Quantile ARDL (FQARDL) - quantile regression with Fourier approximation for analyzing relationships across the conditional distribution; (2) Fourier Nonlinear ARDL (FNARDL) - asymmetric cointegration with partial sum decomposition following Shin, Yu & Greenwood-Nimmo (2014) <doi:10.1007/978-1-4899-8008-3_9>; (3) Multi-Threshold NARDL (MTNARDL) - multiple regime asymmetry analysis; (4) Fourier Unit Root Tests - ADF and KPSS tests with Fourier terms following Enders & Lee (2012) <doi:10.1016/j.econlet.2012.05.019> and Becker, Enders & Lee (2006) <doi:10.1111/j.1467-9892.2006.00490.x>. Features automatic lag and frequency selection, PSS bounds testing following Pesaran, Shin & Smith (2001) <doi:10.1002/jae.616>, bootstrap cointegration tests, Wald tests for asymmetry, dynamic multiplier computati [...truncated...]
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package grmtree updated to version 0.2.2 with previous version 0.2.0 dated 2026-07-02

Title: Recursive Partitioning for Graded Response Models
Description: Provides methods for recursive partitioning based on the 'Graded Response Model' ('GRM'), extending the 'MOB' algorithm from the 'partykit' package. The package allows for fitting 'GRM' trees that partition the population into homogeneous subgroups based on item response patterns and covariates. Includes specialized plotting functions for visualizing 'GRM' trees with different terminal node displays (threshold regions, parameter profiles, and factor score distributions). The package also implements the Longitudinal GRMTree for detecting response shift in PROMs measured at two time points, embedding a constrained two-factor longitudinal GRM within recursive partitioning, with post-hoc characterization of recalibration and reprioritization. For more details on the methods, see Samejima (1969) <doi:10.1002/J.2333-8504.1968.TB00153.X>, Komboz et al. (2018) <doi:10.1177/0013164416664394> and Arimoro et al. (2025) <doi:10.1007/s11136-025-04018-6>.
Author: Olayinka I. Arimoro [aut, cre] , Tolulope T. Sajobi [aut], Lisa M. Lix [aut], Matthew T. James [ctb], Maria Santana [ctb], Emmanuel Ugochukwu [ctb]
Maintainer: Olayinka I. Arimoro <olayinka.arimoro@ucalgary.ca>

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Package couplr updated to version 1.6.1 with previous version 1.5.3 dated 2026-07-25

Title: Optimal Pairing and Matching via Linear Assignment
Description: Solves optimal pairing and matching problems using linear assignment algorithms. Provides implementations of the Hungarian method (Kuhn 1955) <doi:10.1002/nav.3800020109>, Jonker-Volgenant shortest path algorithm (Jonker and Volgenant 1987) <doi:10.1007/BF02278710>, Auction algorithm (Bertsekas 1988) <doi:10.1007/BF02186476>, cost-scaling (Goldberg and Kennedy 1995) <doi:10.1007/BF01585996>, scaling algorithms (Gabow and Tarjan 1989) <doi:10.1137/0218069>, push-relabel (Goldberg and Tarjan 1988) <doi:10.1145/48014.61051>, and Sinkhorn entropy-regularized transport (Cuturi 2013) <doi:10.48550/arxiv.1306.0895>. Designed for matching plots, sites, samples, or any pairwise optimization problem. Supports rectangular matrices, forbidden assignments, data frame inputs, batch solving, k-best solutions, and pixel-level image morphing for visualization. Includes automatic preprocessing with variable health checks, multiple scaling methods (standardized, [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package ymd updated to version 0.1.7 with previous version 0.1.5 dated 2025-04-15

Title: Parse 'YMD' Format Number or String to Date
Description: Convert 'YMD' format number or string to Date efficiently, using Rust's standard library. It also provides helper functions to handle Date, e.g., quick finding the beginning or end of the given period, adding months to Date, etc.
Author: Xianying Tan [aut, cre] , Hiroaki Yutani [ctb] , The authors of the dependency Rust crates [ctb]
Maintainer: Xianying Tan <shrektan@126.com>

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Package varPro updated to version 3.2.0 with previous version 3.1.0 dated 2026-04-19

Title: Model-Independent Variable Selection via the Rule-Based Variable Priority
Description: A new framework of variable selection, which instead of generating artificial covariates such as permutation importance and knockoffs, creates release rules to examine the affect on the response for each covariate where the conditional distribution of the response variable can be arbitrary and unknown.
Author: Min Lu [aut], Aster K. Shear [aut], Udaya B. Kogalur [aut, cre], Hemant Ishwaran [aut]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

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Package socialmixr updated to version 0.7.0 with previous version 0.6.0 dated 2026-04-29

Title: Social Mixing Matrices for Infectious Disease Modelling
Description: Methods for sampling contact matrices from diary data for use in infectious disease modelling, as discussed in Mossong et al. (2008) <doi:10.1371/journal.pmed.0050074>.
Author: Sebastian Funk [aut, cre], Lander Willem [aut], Hugo Gruson [aut], Nicholas Tierney [aut] , Maria Bekker-Nielsen Dunbar [ctb], Carl A. B. Pearson [ctb], Sam Clifford [ctb], Christopher Jarvis [ctb], Alexis Robert [ctb], Niel Hens [ctb], Pietro Colett [...truncated...]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>

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Package NeuroDataSets updated to version 0.3.1 with previous version 0.3.0 dated 2025-11-23

Title: A Comprehensive Collection of Neuroscience and Brain-Related Datasets
Description: Offers a rich and diverse collection of datasets focused on the brain, nervous system, and related disorders. The package includes clinical, experimental, neuroimaging, behavioral, cognitive, and simulated data on conditions such as Parkinson's disease, Alzheimer's disease, dementia, epilepsy, schizophrenia, autism spectrum disorder, attention deficit, hyperactivity disorder, Tourette's syndrome, traumatic brain injury, gliomas, migraines, headaches, sleep disorders, concussions, encephalitis, subarachnoid hemorrhage, and mental health conditions. Datasets cover structural and functional brain data, cross-sectional and longitudinal MRI imaging studies, neurotransmission, gene expression, cognitive performance, intelligence metrics, sleep deprivation effects, treatment outcomes, brain-body relationships across species, neurological injury patterns, and acupuncture interventions. Data sources include peer-reviewed studies, clinical trials, military health records, sports injury databases [...truncated...]
Author: Renzo Caceres Rossi [aut, cre] , Michael Seo [ctb] , Christopher Schmid [ctb] , Si Gao [ctb] , Peter Kochunov [ctb, cph] , Kathryn Hatch [ctb] .), Yizhou Ma [ctb] .), Fatima Talib [ctb] .), Kevin M. Middleton [ctb] , Randall Pruim [ctb] , Max Kuhn [c [...truncated...]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

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Package diffcp updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-27

Title: Differentiating Through Cone Programs
Description: A port of the 'python' 'diffcp' package. Computes the derivative of the optimal solution map of a convex cone program, treating the program as an implicit function of its data (constraint matrix, offset, objective coefficients, and optionally a quadratic), mirroring Agrawal et al. (2019) <doi:10.48550/arXiv.1904.09043>.
Author: Balasubramanian Narasimhan [aut, cre], Akshay Agrawal [aut], Shane Barratt [aut], Stephen Boyd [aut], Enzo Busseti [aut], Walaa Moursi [aut]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

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Package blavaan updated to version 0.6-1 with previous version 0.5-10 dated 2026-01-20

Title: Bayesian Latent Variable Analysis
Description: Fit a variety of Bayesian latent variable models, including confirmatory factor analysis, structural equation models, and latent growth curve models. References: Merkle & Rosseel (2018) <doi:10.18637/jss.v085.i04>; Merkle et al. (2021) <doi:10.18637/jss.v100.i06>.
Author: Edgar Merkle [aut, cre] , Yves Rosseel [aut], Ben Goodrich [aut], Mauricio Garnier-Villarreal [ctb] , Terrence D. Jorgensen [ctb] , Huub Hoofs [ctb] , Rens van de Schoot [ctb] , Andrew Johnson [ctb] , Matthew Emery [ctb] , Michael S. Truong [ctb] )
Maintainer: Edgar Merkle <merklee@missouri.edu>

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Package baselinr updated to version 0.6.0 with previous version 0.5.0 dated 2026-06-30

Title: What Works Clearinghouse Standards for Education Impact Evaluations
Description: Applies the group-design determinations of the What Works Clearinghouse (WWC) to education impact studies. Computes WWC effect sizes (Hedges' g with the small-sample correction, and the Cox index) and classifies baseline equivalence; classifies overall and differential attrition against the WWC attrition boundary; returns the group-design study rating; and reports the robustness of the baseline-equivalence verdict as a multiverse over the computation choices an analyst could defensibly make differently. Provides report-ready tables and Love plots.
Author: Yuxia Liang [aut, cre]
Maintainer: Yuxia Liang <zl1212@uw.edu>

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Package ascribe updated to version 0.2.0 with previous version 0.1.1 dated 2026-08-08

Title: Static Detection and Citation of R Package and Function Usage
Description: Scans R source files for package and function use, then builds citations from configurable package universes. Supports .R, .Rmd, and .qmd files, resolves unqualified calls by attachment order and re-export origin, and leaves each package collection to define its own citations. See 'stanflow' <https://github.com/VisruthSK/stanflow> for an example usage.
Author: Visruth Srimath Kandali [aut, cre, cph]
Maintainer: Visruth Srimath Kandali <public@visruth.com>

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Package circles updated to version 0.1.2 with previous version 0.1.0 dated 2025-05-02

Title: Quickly Draw Various Combinations of Circular Objects
Description: Contains the adaptation of bubblebath from 'MATLAB' (Danz, 2020: <https://www.mathworks.com/matlabcentral/fileexchange/70348>) and the tools to transform a dataframe of radii and points to plot-able paths.
Author: Ryan ODea [aut, cre]
Maintainer: Ryan ODea <odea.ryan@outlook.com>

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Package nparLD updated to version 2.3.0 with previous version 2.2 dated 2022-08-06

Title: Nonparametric Analysis of Longitudinal Data in Factorial Experiments
Description: Provides nonparametric procedures for the analysis of longitudinal data in factorial experiments. The package implements hypothesis tests on marginal distribution functions and unweighted relative marginal effects. It supports arbitrary crossed factorial designs with longitudinal or repeated-measures factors, missing observations, dependent replicates, rank- and pseudo-rank-based inference, Wald-type and ANOVA-type statistics, multiple contrast tests, and simultaneous confidence intervals.
Author: Frank Konietschke [aut, cre], Kimihiro Noguchi [ctb] , Mahbub Latif [ctb] , Karthinathan Thangavelu [ctb] , Yulia R. Gel [ctb] , Edgar Brunner [ctb]
Maintainer: Frank Konietschke <frank.konietschke@charite.de>

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Package fcl updated to version 0.1.5 with previous version 0.1.4 dated 2025-04-15

Title: A Financial Calculator
Description: A financial calculator that provides very fast implementations of common financial indicators using 'Rust' code. It includes functions for bond-related indicators, such as yield to maturity ('YTM'), modified duration, and Macaulay duration, as well as functions for calculating time-weighted and money-weighted rates of return (using 'Modified Dietz' method) for multiple portfolios, given their market values and profit and loss ('PnL') data. 'fcl' is designed to be efficient and accurate for financial analysis and computation. The methods used in this package are based on the following references: <https://en.wikipedia.org/wiki/Modified_Dietz_method>, <https://en.wikipedia.org/wiki/Time-weighted_return>.
Author: Xianying Tan [aut, cre] , Raymon Mina [ctb] , The authors of the dependency Rust crates [ctb]
Maintainer: Xianying Tan <shrektan@126.com>

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Package selecta updated to version 0.6.1 with previous version 0.6.0 dated 2026-06-24

Title: Declarative EQUATOR-Style Flow Diagrams for Clinical Studies
Description: Build EQUATOR-style flowcharts for clinical studies by sequentially defining inclusion and exclusion criteria, study arms, and endpoints. The pipe-friendly API supports CONSORT (randomized trials), STROBE (observational cohorts), STARD (diagnostic accuracy), PRISMA (systematic reviews), and MOOSE (observational meta-analysis) diagram layouts, as well as multi-source convergence, split-and-recombine, factorial, and hybrid topologies. Diagrams are rendered via 'grid' graphics in both data-driven (automatic counting) and manual-count modes, with optional 'DiagrammeR'/'Graphviz' output.
Author: Paul Hsin-ti McClelland [aut, cre, cph]
Maintainer: Paul Hsin-ti McClelland <PaulHMcClelland@protonmail.com>

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Package reviser updated to version 0.2.0 with previous version 0.1.1 dated 2026-03-31

Title: Analyzing Revisions in Real-Time Time Series Vintages
Description: Analyzes revisions in real-time time series vintages. The package converts between wide revision triangles and tidy long vintages, extracts selected releases, computes revision series, visualizes vintage paths, and summarizes revision properties such as bias, dispersion, autocorrelation, and news-noise diagnostics. It also identifies efficient releases and estimates state-space models for revision nowcasting. Methods are based on Howrey (1978) <doi:10.2307/1924972>, Jacobs and Van Norden (2011) <doi:10.1016/j.jeconom.2010.04.010>, and Kishor and Koenig (2012) <doi:10.1198/jbes.2010.08169>.
Author: Marc Burri [aut, cre, cph] , Philipp Wegmueller [aut, cph]
Maintainer: Marc Burri <marc.burri91@gmail.com>

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Package lehdr updated to version 1.2.0 with previous version 1.1.4 dated 2024-11-21

Title: Grab Longitudinal Employer-Household Dynamics (LEHD) Flat Files
Description: Designed to query Longitudinal Employer-Household Dynamics (LEHD) workplace/residential association and origin-destination flat files and optionally aggregate Census block-level data to block group, tract, county, or state. Also provides analytical functions for commute flow statistics, longitudinal change, and earnings tier distributions. Data comes from the LODES FTP server <https://lehd.ces.census.gov/data/lodes/LODES8/>.
Author: Jamaal Green [cre, aut] , Liming Wang [aut], Dillon Mahmoudi [aut] , Matthew Rogers [ctb], Kyle Walker [ctb], Eli Pousson [ctb]
Maintainer: Jamaal Green <jamaal.green@gmail.com>

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Package corrselect updated to version 3.3.0 with previous version 3.2.3 dated 2026-07-18

Title: Correlation-Based and Model-Based Predictor Pruning
Description: Provides functions for predictor pruning using association-based and model-based approaches. Includes corrPrune() for fast correlation-based pruning, modelPrune() for regression pruning on the variance inflation factor (VIF) and the condition number, and exact graph-theoretic algorithms (Eppstein–Löffler–Strash, Bron–Kerbosch) for exhaustive subset enumeration. Supports linear models, generalized linear models (GLMs), and mixed models ('lme4', 'glmmTMB').
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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 corrselect-3.3.0/corrselect/DESCRIPTION                                                                            |    8 
 corrselect-3.3.0/corrselect/MD5                                                                                    |  275 
 corrselect-3.3.0/corrselect/NAMESPACE                                                                              |   58 
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 corrselect-3.3.0/corrselect/R/CorrCombo.R                                                                          |   29 
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 corrselect-3.3.0/corrselect/R/RcppExports.R                                                                        |   38 
 corrselect-3.3.0/corrselect/R/assoc-metrics.R                                                                      |  195 
 corrselect-3.3.0/corrselect/R/assocSelect.R                                                                        |  389 
 corrselect-3.3.0/corrselect/R/corrPrune.R                                                                          | 1366 +-
 corrselect-3.3.0/corrselect/R/corrSelect.R                                                                         |   73 
 corrselect-3.3.0/corrselect/R/corrSubset.R                                                                         |  251 
 corrselect-3.3.0/corrselect/R/modelPrune.R                                                                         | 1887 ++-
 corrselect-3.3.0/corrselect/README.md                                                                              |  154 
 corrselect-3.3.0/corrselect/inst/CITATION                                                                          |    4 
 corrselect-3.3.0/corrselect/inst/doc/advanced.R                                                                    |   42 
 corrselect-3.3.0/corrselect/inst/doc/advanced.Rmd                                                                  | 2323 ++--
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 corrselect-3.3.0/corrselect/man/MatSelect.Rd                                                                       |  125 
 corrselect-3.3.0/corrselect/man/as.data.frame.CorrCombo.Rd                                                         |   70 
 corrselect-3.3.0/corrselect/man/assocSelect.Rd                                                                     |  263 
 corrselect-3.3.0/corrselect/man/bioclim_example.Rd                                                                 |  146 
 corrselect-3.3.0/corrselect/man/cor_example.Rd                                                                     |  168 
 corrselect-3.3.0/corrselect/man/corrPrune.Rd                                                                       |  300 
 corrselect-3.3.0/corrselect/man/corrSelect.Rd                                                                      |  182 
 corrselect-3.3.0/corrselect/man/corrSubset.Rd                                                                      |  145 
 corrselect-3.3.0/corrselect/man/corrselect-package.Rd                                                              |  130 
 corrselect-3.3.0/corrselect/man/genes_example.Rd                                                                   |  114 
 corrselect-3.3.0/corrselect/man/longitudinal_example.Rd                                                            |  126 
 corrselect-3.3.0/corrselect/man/modelPrune.Rd                                                                      |  352 
 corrselect-3.3.0/corrselect/man/survey_example.Rd                                                                  |  118 
 corrselect-3.3.0/corrselect/src/clique_core.cpp                                                                    |    2 
 corrselect-3.3.0/corrselect/src/clique_core.h                                                                      |   15 
 corrselect-3.3.0/corrselect/src/corrselect_main.cpp                                                                |   20 
 corrselect-3.3.0/corrselect/src/corrselect_types.h                                                                 |    4 
 corrselect-3.3.0/corrselect/src/method_bronkerbosch.cpp                                                            |    1 
 corrselect-3.3.0/corrselect/src/method_bronkerbosch.h                                                              |    7 
 corrselect-3.3.0/corrselect/src/method_els.cpp                                                                     |    7 
 corrselect-3.3.0/corrselect/src/method_els.h                                                                       |    6 
 corrselect-3.3.0/corrselect/src/method_greedy.cpp                                                                  |   87 
 corrselect-3.3.0/corrselect/src/utils.cpp                                                                          |   50 
 corrselect-3.3.0/corrselect/src/utils.h                                                                            |   21 
 corrselect-3.3.0/corrselect/tests/testthat/test-CorrCombo.R                                                        |   32 
 corrselect-3.3.0/corrselect/tests/testthat/test-assocSelect.R                                                      | 2475 ++---
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 corrselect-3.3.0/corrselect/tests/testthat/test-corrPrune.R                                                        | 4291 ++++----
 corrselect-3.3.0/corrselect/tests/testthat/test-modelPrune.R                                                       | 4813 +++++-----
 corrselect-3.3.0/corrselect/tests/testthat/test-reference-associations.R                                           |  140 
 corrselect-3.3.0/corrselect/vignettes/advanced.Rmd                                                                 | 2323 ++--
 corrselect-3.3.0/corrselect/vignettes/comparison.Rmd                                                               |   74 
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Package soilVAE updated to version 0.1.10 with previous version 0.1.9 dated 2026-03-17

Title: Supervised Variational Autoencoder Regression via 'reticulate'
Description: Supervised latent-variable regression for high-dimensional predictors such as soil reflectance spectra. The model uses an encoder-decoder neural network with a stochastic Gaussian latent representation regularized by a Kullback-Leibler term, and a supervised prediction head trained jointly with the reconstruction objective. The implementation interfaces R with a 'Python' deep-learning backend and provides utilities for training, tuning, and prediction.
Author: Hugo Rodrigues [aut, cre], Alexandre M. J.-C. Wadoux [cph] , from which the bundled 'datsoilspc' dataset is redistributed)
Maintainer: Hugo Rodrigues <rodrigues.machado.hugo@gmail.com>

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Package RobinCar2 updated to version 0.2.4 with previous version 0.2.3 dated 2026-07-02

Title: ROBust INference for Covariate Adjustment in Randomized Clinical Trials
Description: Performs robust estimation and inference when using covariate adjustment and/or covariate-adaptive randomization in randomized controlled trials. This package is trimmed to reduce the dependencies and validated to be used across industry. See "FDA's final guidance on covariate adjustment"<https://www.regulations.gov/docket/FDA-2019-D-0934>, Tsiatis (2008) <doi:10.1002/sim.3113>, Bugni et al. (2018) <doi:10.1080/01621459.2017.1375934>, Ye, Shao, Yi, and Zhao (2023)<doi:10.1080/01621459.2022.2049278>, Ye, Shao, and Yi (2022)<doi:10.1093/biomet/asab015>, Rosenblum and van der Laan (2010)<doi:10.2202/1557-4679.1138>, Wang et al. (2021)<doi:10.1080/01621459.2021.1981338>, Ye, Bannick, Yi, and Shao (2023)<doi:10.1080/24754269.2023.2205802>, and Bannick, Shao, Liu, Du, Yi, and Ye (2024)<doi:10.48550/arXiv.2306.10213>.
Author: Liming Li [aut, cre] , Marlena Bannick [aut] , Daniel Sabanes Bove [aut] , Dong Xi [aut], Ting Ye [aut], Yanyao Yi [aut], Gregory Chen [ctb], Gilead Sciences, Inc. [cph, fnd], F. Hoffmann-La Roche AG [cph, fnd], Merck Sharp & Dohme, Inc. [cph, fnd], [...truncated...]
Maintainer: Liming Li <liming.li1@astrazeneca.com>

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Package pizzarr updated to version 0.2.1 with previous version 0.2.0 dated 2026-04-20

Title: Slice into 'Zarr' Arrays
Description: An implementation of chunked, compressed, N-dimensional arrays for R. 'Zarr' spec V2 (2024) <doi:10.5281/zenodo.11320255>.
Author: David Blodgett [cre, aut] , Mark Keller [aut] , Artuer Manukyan [aut] , zarr-developers [cph]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package normality updated to version 0.0.4 with previous version 0.0.3 dated 2026-07-07

Title: Tests for Departure from Normality
Description: A toolkit for assessing data normality using a comprehensive collection of statistical methods. It includes descriptive measures and formal hypothesis tests, such as skewness and kurtosis tests, the Anderson–Darling test, the Shapiro–Wilk test, and the D'Agostino–Pearson K2 omnibus test.
Author: Joon-Keat Lai [aut, cre, cph]
Maintainer: Joon-Keat Lai <p10911004@gmail.com>

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Package tinytiger updated to version 0.0.12 with previous version 0.0.11 dated 2025-10-24

Title: Lightweight Interface to TIGER/Line Shapefiles
Description: Download geographic shapes from the United States Census Bureau TIGER/Line Shapefiles <https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html>. Functions support downloading and reading in geographic boundary data. All downloads can be set up with a cache to avoid multiple downloads. Data is available back to 2000 for most geographies.
Author: Christopher T. Kenny [aut, cre] , Cory McCartan [aut]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

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Package terra updated to version 1.9-46 with previous version 1.9-34 dated 2026-06-19

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started.
Author: Robert J. Hijmans [cre, aut] , Andrew Brown [aut] , A. Marcia Barbosa [aut] , Emanuele Cordano [aut] , Krzysztof Dyba [aut] , Roger Bivand [ctb] , Michael Chirico [ctb] , Edzer Pebesma [ctb] , Barry Rowlingson [ctb] , Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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More information about terra at CRAN
Permanent link

Package partykit updated to version 1.3-0 with previous version 1.2-29 dated 2026-07-17

Title: A Toolkit for Recursive Partytioning
Description: A toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure can be used for reading/coercing tree models from different sources ('rpart', 'RWeka', 'PMML') yielding objects that share functionality for print()/plot()/predict() methods. Furthermore, new and improved reimplementations of conditional inference trees (ctree()) and model-based recursive partitioning (mob()) from the 'party' package are provided based on the new infrastructure. A description of this package was published by Hothorn and Zeileis (2015) <https://jmlr.org/papers/v16/hothorn15a.html>.
Author: Torsten Hothorn [aut, cre] , Heidi Seibold [ctb] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between partykit versions 1.2-29 dated 2026-07-17 and 1.3-0 dated 2026-08-22

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Package mcptools updated to version 1.0.2 with previous version 1.0.1 dated 2026-07-27

Title: Model Context Protocol Servers and Clients
Description: Implements the Model Context Protocol (MCP). Users can start 'R'-based servers, serving functions as tools for large language models to call before responding to the user in MCP-compatible apps like 'Claude Desktop' and 'Claude Code', with options to run those tools inside of interactive 'R' sessions. On the other end, when 'R' is the client via the 'ellmer' package, users can register tools from third-party MCP servers to integrate additional context into chats.
Author: Simon Couch [aut, cre] , Winston Chang [aut] , Charlie Gao [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>

Diff between mcptools versions 1.0.1 dated 2026-07-27 and 1.0.2 dated 2026-08-22

 DESCRIPTION                      |    6 +++---
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Package DPComb updated to version 1.0.1 with previous version 1.0 dated 2026-06-19

Title: Discrete p-Value Combination Tests
Description: Provides tools for performing p-value combination tests with discrete input p-values. These tests combine significance evidence derived from independent discrete statistics to test a global null hypothesis, which is defined by the specified null distribution(s) of these discrete statistics. The testing procedure involves two main steps: (1) Wasserstein Adjustment: Each component of the combination statistic is replaced by an adjusted Z statistic. This adjustment, based on the minimum Wasserstein distance, preserves the discrete nature of the original statistics while better aligning them with their counterparts under continuity. (2) Calculation of the Significance of the Combination Statistic: A continuous distribution that optimally matches the discrete distribution of the combination statistic is obtained, and the testing p-value for the global null hypothesis is computed. The first step is analogous to Lancaster's approach but is generalized based on Wasserstein optimization. The se [...truncated...]
Author: Gonzalo Contador [aut], Shuaichuan Feng [aut], Zheyang Wu [aut, cre]
Maintainer: Zheyang Wu <zheyangwu@wpi.edu>

Diff between DPComb versions 1.0 dated 2026-06-19 and 1.0.1 dated 2026-08-22

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Package BMisc updated to version 1.4.10 with previous version 1.4.9 dated 2026-06-11

Title: Miscellaneous Functions for Panel Data, Quantiles, and Printing Results
Description: These are miscellaneous functions for working with panel data, quantiles, and printing results. For panel data, the package includes functions for making a panel data balanced (that is, dropping missing individuals that have missing observations in any time period), converting id numbers to row numbers, and to treat repeated cross sections as panel data under the assumption of rank invariance. For quantiles, there are functions to make distribution functions from a set of data points (this is particularly useful when a distribution function is created in several steps), to combine distribution functions based on some external weights, and to invert distribution functions. Finally, there are several other miscellaneous functions for obtaining weighted means, weighted distribution functions, and weighted quantiles; to generate summary statistics and their differences for two groups; and to add or drop covariates from formulas. Additional utilities support staggered treatment adoption [...truncated...]
Author: Brantly Callaway [aut, cre], Grant McDermott [ctb]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>

Diff between BMisc versions 1.4.9 dated 2026-06-11 and 1.4.10 dated 2026-08-22

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Package xxdi updated to version 1.26.8 with previous version 1.26.4 dated 2026-04-30

Title: An R Package for Evaluating Expertise Indices for Research Strength Assessment
Description: Institutional performance assessment remains a key challenge to a multitude of stakeholders. Existing indicators such as h-type indicators, g-type indicators, and many others do not reflect expertise of institutions that defines their research portfolio. The package offers functionality to compute and visualise two novel indices: the x-index and the xd-index. The x-index evaluates an institution's scholarly expertise within a specific discipline or field, while the xd-index provides a broader assessment of overall scholarly expertise considering an institution's publication pattern and strengths across coarse thematic areas. These indices offer a nuanced understanding of institutional research capabilities, aiding stakeholders in research management and resource allocation decisions. For further details, see Lathabai, H.H., Nandy, A., and Singh, V.K. (2021) <doi:10.1007/s11192-021-04188-3>, and Nandy, A., Lathabai, H.H., and Singh, V.K. (2023) <doi:10.5281/zenodo.8305585>. [...truncated...]
Author: Nilabhra R Das [cre, aut] , Abhirup Nandy [aut]
Maintainer: Nilabhra R Das <nr.das@yahoo.com>

Diff between xxdi versions 1.26.4 dated 2026-04-30 and 1.26.8 dated 2026-08-22

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More information about xxdi at CRAN
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Package wikiTools updated to version 1.2.26 with previous version 1.2.24 dated 2026-05-25

Title: Tools for Wikidata and Wikipedia
Description: A set of wrappers intended to check, read and download information from the Wikimedia sources. It is specifically created to work with names of celebrities, in which case their information and statistics can be downloaded. Additionally, it also builds links and snippets to use in combination with the function gallery() in netCoin package.
Author: Modesto Escobar [aut, cph, cre] , Angel Zazo [aut], Carlos Prieto [aut] , David Barrios [aut], Cristina Calvo [aut]
Maintainer: Modesto Escobar <modesto@usal.es>

Diff between wikiTools versions 1.2.24 dated 2026-05-25 and 1.2.26 dated 2026-08-22

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Package walking updated to version 0.8.0 with previous version 0.7.0 dated 2026-08-03

Title: Segments Accelerometry Data into Walking Bouts using Open Source Methods
Description: Segments walking from accelerometry data using 'forest' python module <https://github.com/onnela-lab/forest> from Yi (2025) <doi:10.2196/71375>, 'Verisense' original from Rowlands (2022) <doi:10.1080/02640414.2022.2147134> and 'Verisense' revised from Maylor (2022) <doi:10.3390/s22249984>, and Step Detection Threshold (SDT) from Ducharme (2021) <doi:10.1123/jmpb.2021-0011> methods.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between walking versions 0.7.0 dated 2026-08-03 and 0.8.0 dated 2026-08-22

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More information about walking at CRAN
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Package treasury updated to version 0.7.0 with previous version 0.6.0 dated 2026-07-11

Title: Client for US Treasury XML Feed and Published Data
Description: Download daily interest rates from the US Treasury XML feed. Leveraging <https://home.treasury.gov/treasury-daily-interest-rate-xml-feed>, this package serves as a wrapper, facilitating the retrieval of daily treasury rates across various categories, including par yield curves, treasury bills, long-term rates, and real yield curves. In addition, it provides access to the monthly published yield curve datasets, including the High Quality Market (HQM) corporate bond yield curve and the Treasury nominal and real coupon-issue (TNC, TRC) and breakeven inflation (TBI) curves.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

Diff between treasury versions 0.6.0 dated 2026-07-11 and 0.7.0 dated 2026-08-22

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More information about treasury at CRAN
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Package survdnn updated to version 1.0.0 with previous version 0.7.6 dated 2026-04-29

Title: Deep Neural Networks for Survival Analysis with R 'torch'
Description: Provides deep learning models for right-censored survival data using the 'torch' backend. Supports multiple loss functions, including Cox partial likelihood, L2-penalized Cox, time-dependent Cox, and accelerated failure time (AFT) loss. Offers a formula-based interface, built-in support for cross-validation, hyperparameter tuning, survival curve plotting, and evaluation metrics such as the C-index, Brier score, and integrated Brier score. For methodological details, see Kvamme et al. (2019) <https://www.jmlr.org/papers/v20/18-424.html>. The package is described in El Badisy (2026) <doi:10.32614/RJ-2026-008>.
Author: Imad El Badisy [aut, cre], Daniel Falbel [ctb]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

Diff between survdnn versions 0.7.6 dated 2026-04-29 and 1.0.0 dated 2026-08-22

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Package survalis readmission to version 1.0.0 with previous version 0.7.1 dated 2026-04-23

Title: Interpretable Survival Machine Learning Framework
Description: A modular toolkit for interpretable survival machine learning with a unified interface for fitting, prediction, evaluation, and interpretation. It includes semiparametric, parametric, tree-based, ensemble, boosting, kernel, and deep-learning survival learners, together with benchmarking, scoring, calibration, and model-agnostic interpretation utilities. Representative methodological anchors include Cox (1972) <doi:10.1111/j.2517-6161.1972.tb00899.x>, Royston and Parmar (2002) <doi:10.1002/sim.1203>, Ishwaran et al. (2008) <doi:10.1214/08-AOAS169>, Jaeger et al. (2019) <doi:10.1214/19-AOAS1261>, Harrell et al. (1982) <doi:10.1001/jama.1982.03320430047030>, Graf et al. (1999) <doi:10.1002/(SICI)1097-0258(19990915/30)18:17/18%3C2529::AID-SIM274%3E3.0.CO;2-5>, Friedman (2001) <doi:10.1214/aos/1013203451>, Apley and Zhu (2020) <doi:10.1111/rssb.12377>, and Lundberg and Lee (2017) <https://papers.nips.cc/paper/7062-a-unified-approach-to-inte [...truncated...]
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

This is a re-admission after prior archival of version 0.7.1 dated 2026-04-23

Diff between survalis versions 0.7.1 dated 2026-04-23 and 1.0.0 dated 2026-08-22

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Package ruler updated to version 0.3.2 with previous version 0.3.1 dated 2025-07-28

Title: Tidy Data Validation Reports
Description: Tools for creating data validation pipelines and tidy reports. This package offers a framework for exploring and validating data frame like objects using 'dplyr' grammar of data manipulation.
Author: Evgeni Chasnovski [aut, cre]
Maintainer: Evgeni Chasnovski <evgeni.chasnovski@gmail.com>

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Package openscoring updated to version 1.2.0 with previous version 1.1.0 dated 2026-03-24

Title: 'Open Scoring' API Client
Description: Creativity research involves the need to score open-ended problems. Usually done by humans, automatic scoring using AI becomes more and more accurate. This package provides a simple interface to the 'Open Scoring' API <https://openscoring.du.edu/docs>, leading creativity scoring technology by Organiscak et al. (2023) <doi:10.1016/j.tsc.2023.101356>. With it, you can score your own data directly from an R script.
Author: Jakub Jedrusiak [aut, cre, cph] , Peter Organisciak [ctb] , Selcuk Acar [ctb] , Denis Dumas [ctb] , Pier-Luc de Chantal [ctb] , Kelly Berthiaume [ctb]
Maintainer: Jakub Jedrusiak <jakub.jedrusiak@uwr.edu.pl>

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Package MEMWAS readmission to version 0.9.5 with previous version 0.9.3 dated 2026-08-08

Title: Mixed-Effects Models with Autocorrelation Structures
Description: Fits longitudinal mixed-effects models through a registered 'C++' numerical backend. Supported serial covariance structures include first-order autoregressive (AR(1)), exponential or Ornstein-Uhlenbeck, higher-order autoregressive (AR(p)), first-order autoregressive moving-average (ARMA(1,1)), compound symmetry, Toeplitz, and unstructured covariance. Serial processes can be unified or attached independently to numeric predictor loadings. Candidate temporal structures can be ranked on a common sample by dependence-component grouped cross-validation, the Akaike information criterion, the Bayesian information criterion, or log-likelihood. Clustered, crossed, and nested random intercepts and slopes are assembled jointly with diagonal or term-specific unstructured covariance. Available approximation methods include Laplace, saddlepoint likelihood with latent Laplace integration, adaptive Gaussian quadrature, full-covariance Gaussian variational inference, and penalized quasi-likelihood. Pen [...truncated...]
Author: Enoch Kang [aut, cre, trl]
Maintainer: Enoch Kang <y.enoch.kang@gmail.com>

This is a re-admission after prior archival of version 0.9.3 dated 2026-08-08

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Package ipred updated to version 0.9-16 with previous version 0.9-15 dated 2024-07-18

Title: Improved Predictors
Description: Improved predictive models by indirect classification and bagging for classification, regression and survival problems as well as resampling based estimators of prediction error.
Author: Andrea Peters [aut], Torsten Hothorn [aut, cre], Brian D. Ripley [ctb], Terry Therneau [ctb], Beth Atkinson [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package IntegMultiReg updated to version 0.1.1 with previous version 0.1.0 dated 2026-08-09

Title: Integrative Bayesian Multiple Regression for Multi-Platform Biomarkers
Description: A Bayesian framework that integrates several regression models to identify a parsimonious set of biomarkers shared across disparate data platforms (for example genomic, transcriptomic and proteomic assays). Subjects are partitioned into subgroups defined by their pattern of platform availability, so that no subject with partially missing platform data is excluded, and information is borrowed across subgroups through a Markov random field prior on the variable-selection indicators together with non-local (product moment) priors on the regression effects. The methodology was introduced for time-to-event outcomes by Chekouo, Stingo, Doecke and Do (2017) <doi:10.1111/biom.12587>; this package additionally supports continuous (Gaussian) and binary (probit) outcomes. Posterior inference is carried out by a Markov chain Monte Carlo sampler implemented in C for computational efficiency.
Author: Sinian Zhang [aut], Jianfeng Wang [aut], Thierry Chekouo [aut, cre]
Maintainer: Thierry Chekouo <tchekouo@umn.edu>

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Package hexify updated to version 0.8.2 with previous version 0.6.5 dated 2026-02-28

Title: Equal-Area Hex Grids on the Snyder ISEA Icosahedron
Description: Provides functions to build and use hexagonal discrete global grids using the Icosahedral Snyder Equal Area ('ISEA') projection (Snyder 1992 <doi:10.3138/27H7-8K88-4882-1752>) and the 'H3' hierarchical hexagonal system (Uber Technologies). Implements the 'ISEA' discrete global grid system (Sahr, White and Kimerling 2003 <doi:10.1559/152304003100011090>). Includes a fast C++ core for 'ISEA' projection and aperture quantization, an included 'H3' v4.4.1 C library for native 'H3' grid operations, and 'sf'/'terra'-compatible R wrappers for grid generation and coordinate assignment. Output is compatible with 'dggridR' for interoperability.
Author: Gilles Colling [aut, cre, cph] , Uber Technologies, Inc. [ctb, cph] )
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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More information about hexify at CRAN
Permanent link

Package heims updated to version 0.4.3 with previous version 0.4.0 dated 2018-01-25

Title: Decode and Validate HEIMS Data from Department of Education, Australia
Description: Decode elements of the Australian Higher Education Information Management System (HEIMS) data for clarity and performance. HEIMS is the record system of the Department of Education, Australia to record enrolments and completions in Australia's higher education system, as well as a range of relevant information. For more information, including the source of the data dictionary, see <https://web.archive.org/web/20180210074903/http://heimshelp.education.gov.au/sites/heimshelp/dictionary/pages/data-element-dictionary>. That collection has since been superseded by the Tertiary Collection of Student Information, whose data element dictionary is at <https://www.tcsisupport.gov.au/element>.
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between heims versions 0.4.0 dated 2018-01-25 and 0.4.3 dated 2026-08-22

 DESCRIPTION                             |   19 +-
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More information about heims at CRAN
Permanent link

Package GRIN2 updated to version 2.1.0 with previous version 2.0.0 dated 2025-06-17

Title: Genomic Random Interval (GRIN)
Description: Implements the Genomic Random Interval (GRIN) framework for identifying genomic loci affected by genomic lesions more frequently than expected by chance. Supports multiple lesion classes, lesion constellation analysis, exon-level target-size modeling, genomic lesion visualization, and gene-level association analyses linking genomic lesions or gene expression with binary and time-to-event clinical outcomes. Includes tools for retrieving versioned GRCh38 Ensembl gene, exon, and regulatory-element annotations. The statistical framework is described in Pounds et al. (2013) <doi:10.1093/bioinformatics/btt372>.
Author: Abdelrahman Elsayed [aut, cre, cph] , Xueyuan Cao [aut], Lakshmi Anuhya Patibandla [aut], Stanley Pounds [aut, cph]
Maintainer: Abdelrahman Elsayed <aelsayed@stjude.org>

Diff between GRIN2 versions 2.0.0 dated 2025-06-17 and 2.1.0 dated 2026-08-22

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More information about GRIN2 at CRAN
Permanent link

Package GPArotation updated to version 2026.8-2 with previous version 2026.8-1 dated 2026-08-03

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>

Diff between GPArotation versions 2026.8-1 dated 2026-08-03 and 2026.8-2 dated 2026-08-22

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More information about GPArotation at CRAN
Permanent link

Package funcml updated to version 0.9.0 with previous version 0.7.1 dated 2026-04-21

Title: Functional Machine Learning Framework
Description: A compact and explicit machine learning framework for supervised learning, resampling-based evaluation, hyperparameter tuning, learner comparison, interpretation, and plug-in g-computation. The package uses standard formulas for model specification and provides stable S3 interfaces for fitting, evaluation, tuning, interpretation, and causal estimation across a learner registry with multiple backend engines. Implemented interpretation methods build on established approaches such as permutation-based variable importance, partial dependence, individual conditional expectation, accumulated local effects, SHAP, and LIME; see Friedman (2001) <doi:10.1214/aos/1013203451>, Goldstein et al. (2015) <doi:10.1080/10618600.2014.907095>, Apley and Zhu (2020) <doi:10.1111/rssb.12377>, Lundberg and Lee (2017) <doi:10.48550/arXiv.1705.07874>, and Ribeiro et al. (2016) <doi:10.48550/arXiv.1602.04938>. The framework is intentionally opinionated: preprocessing is expected to [...truncated...]
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

Diff between funcml versions 0.7.1 dated 2026-04-21 and 0.9.0 dated 2026-08-22

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More information about funcml at CRAN
Permanent link

Package eiIT updated to version 0.0.2-1 with previous version 0.0.1-1 dated 2026-06-01

Title: Ecological Inference via Information Theory
Description: Estimates RxC transfer matrices from aggregated marginal data using a two-stage (GME+IPF; Generalized Maximum Entropy and Iterative Proportional Fitting) information-theoretic approach within a two-step (global+local) estimation procedure. The resulting matrices are consistent with observed row and column marginals across collections of subtables (e.g. precincts, polling stations, or districts). References: Golan, A., Judge, G., & Miller, D. (1996). Maximum Entropy Econometrics: Robust Estimation with Limited Data. Wiley. Judge, G., Miller, D.J., & Cho, W.K.T. (2004). "An information theoretic approach to ecological estimation and inference". In G. King, O. Rosen, & M. A. Tanner (Eds.), Ecological Inference: New Methodological Strategies (pp. 162–187). Cambridge University Press. Mittelhammer, R., Judge, G., & Miller, D. (2000). Econometric Foundations. Cambridge University Press. Pavia, J.M. (2023) <doi:10.1007/s43545-023-00658-y> Acknowledgements: The author wis [...truncated...]
Author: Jose M. Pavia [aut, cre]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>

Diff between eiIT versions 0.0.1-1 dated 2026-06-01 and 0.0.2-1 dated 2026-08-22

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Permanent link

Package coursekata readmission to version 0.20.1 with previous version 0.19.2 dated 2026-03-10

Title: Packages and Functions for 'CourseKata' Courses
Description: Easily install and load all packages and functions used in 'CourseKata' courses. Aid teaching with helper functions and augment generic functions to provide cohesion between the network of packages. Learn more about 'CourseKata' at <https://www.coursekata.org>.
Author: Adam Blake [cre, aut] , Ji Son [aut] , Jim Stigler [aut] , CourseKata [cph]
Maintainer: Adam Blake <adam@coursekata.org>

This is a re-admission after prior archival of version 0.19.2 dated 2026-03-10

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Package colorr updated to version 1.1.0 with previous version 1.0.0 dated 2017-02-20

Title: Color Palettes for Soccer, MLB, NBA, WNBA, NHL, and NFL Teams
Description: Current-season color palettes for soccer clubs in the English Premier League ('EPL'), 'LaLiga', 'Serie A', the 'Bundesliga', 'Ligue 1' and Major League Soccer ('MLS'), and for Major League Baseball ('MLB'), National Basketball Association ('NBA'), Women's National Basketball Association ('WNBA'), National Hockey League ('NHL') and National Football League ('NFL') teams. Palettes are returned as named character vectors of hex colors, and as 'ggplot2' colour and fill scales. The palettes shipped in earlier versions of the package remain available so that older figures stay reproducible.
Author: Charles Crabtree [aut, cre]
Maintainer: Charles Crabtree <charles.crabtree@monash.edu>

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Package capn readmission to version 2.0.0 with previous version 1.0.0 dated 2017-06-05

Title: Capital Asset Pricing for Nature
Description: Implements the natural capital asset pricing for nature (CAPN) approach, using a collocation or iteration method and associated functions for dynamic programs. Development of this package was supported by the Knobloch Family Foundation and Lenfest Ocean Program Contract ID 00029728.
Author: Seong D. Yun [aut, cre], Eli P. Fenichel [aut, ctb], Joshua K. Abbott [aut, ctb]
Maintainer: Seong D. Yun <yunsd2004@gmail.com>

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Package bsvars updated to version 4.0 with previous version 3.2 dated 2024-10-24

Title: Bayesian Estimation of Structural Vector Autoregressive Models
Description: Provides fast and efficient procedures for Bayesian analysis of Structural Vector Autoregressions. This package estimates a wide range of models, including homo-, heteroskedastic, and non-normal specifications. Structural models can be identified by adjustable exclusion restrictions, time-varying volatility, or non-normality, and include exclusion restrictions on autoregressive parameters. They all include a flexible three-level equation-specific local-global hierarchical prior distribution for the estimated level of shrinkage for autoregressive and structural parameters. Additionally, the package facilitates predictive and structural analyses such as impulse responses, forecast error variance and historical decompositions, forecasting, verification of heteroskedasticity, non-normality, and hypotheses on autoregressive parameters, as well as analyses of structural shocks, volatilities, and fitted values. Beautiful plots, informative summary functions, and extensive documentation includ [...truncated...]
Author: Tomasz Wozniak [aut, cre] , Fei Shang [ctb] , introduced major code corrections and improvements), Helmut Luetkepohl [ctb] ), Luis Uzeda [ctb] ), Xiaolei Wang [ctb] , Bruno Cavalcante [ctb]
Maintainer: Tomasz Wozniak <wozniak.tom@pm.me>

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Package autoplotly readmission to version 0.1.7 with previous version 0.1.4 dated 2021-04-18

Title: Automatic Generation of Interactive Visualizations for Statistical Results
Description: Functionalities to automatically generate interactive visualizations for statistical results supported by 'ggfortify', such as time series, PCA, clustering and survival analysis, with 'plotly.js' <https://plotly.com/> and 'ggplot2' style. The generated visualizations can also be easily extended using 'ggplot2' and 'plotly' syntax while staying interactive.
Author: Yuan Tang [aut, cre]
Maintainer: Yuan Tang <terrytangyuan@gmail.com>

This is a re-admission after prior archival of version 0.1.4 dated 2021-04-18

Diff between autoplotly versions 0.1.4 dated 2021-04-18 and 0.1.7 dated 2026-08-22

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Package actinet updated to version 0.4.0 with previous version 0.2.0 dated 2026-08-05

Title: Estimate Human Activity from Accelerometry Data
Description: Interfaces the 'actinet' Python module <https://github.com/OxWearables/actinet> for an activity classification model based on self-supervised learning for wrist-worn accelerometer data.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between actinet versions 0.2.0 dated 2026-08-05 and 0.4.0 dated 2026-08-22

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Package pcv updated to version 1.2.0 with previous version 1.1.0 dated 2023-08-12

Title: Procrustes Cross-Validation
Description: Implements Procrustes cross-validation method for Principal Component Analysis, Principal Component Regression and Partial Least Squares regression models. S. Kucheryavskiy (2023) <doi:10.1016/j.aca.2023.341096>.
Author: Sergey Kucheryavskiy [aut, cre]
Maintainer: Sergey Kucheryavskiy <svkucheryavski@gmail.com>

Diff between pcv versions 1.1.0 dated 2023-08-12 and 1.2.0 dated 2026-08-22

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Package gorica updated to version 0.1.6 with previous version 0.1.5 dated 2026-02-12

Title: Evaluation of Inequality Constrained Hypotheses Using GORICA
Description: Implements the generalized order-restricted information criterion approximation (GORICA), an AIC-like information criterion that can be utilized to evaluate informative hypotheses specifying directional relationships between model parameters in terms of (in)equality constraints (see Altinisik, Van Lissa, Hoijtink, Oldehinkel, & Kuiper, 2021), <doi:10.31234/osf.io/t3c8g>. The GORICA is applicable not only to normal linear models, but also to generalized linear models (GLMs), generalized linear mixed models (GLMMs), structural equation models (SEMs), and contingency tables. For contingency tables, restrictions on cell probabilities can be non-linear.
Author: Rebecca M. Kuiper [aut], Altinisik Yasin [aut], Vanbrabant Leonard [ctb], Caspar J. van Lissa [aut, cre]
Maintainer: Caspar J. van Lissa <c.j.vanlissa@tilburguniversity.edu>

Diff between gorica versions 0.1.5 dated 2026-02-12 and 0.1.6 dated 2026-08-22

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Package glyrepr updated to version 1.0.0 with previous version 0.14.0 dated 2026-07-21

Title: Representation for Glycan Compositions and Structures
Description: Computational representations of glycan compositions and structures, including details such as linkages, anomers, and substituents. Supports varying levels of monosaccharide specificity (e.g., "Hex" or "Gal") and ambiguous linkages. Provides robust parsing and generation of IUPAC-condensed structure strings. Optimized for vectorized operations on glycan structures, with efficient handling of duplications. As the cornerstone of the glycoverse ecosystem, this package delivers the foundational data structures that power glycomics and glycoproteomics analysis workflows.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

Diff between glyrepr versions 0.14.0 dated 2026-07-21 and 1.0.0 dated 2026-08-22

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Package dann updated to version 1.2.0 with previous version 1.1.0 dated 2026-04-25

Title: Discriminant Adaptive Nearest Neighbor Classification
Description: Discriminant Adaptive Nearest Neighbor Classification is a variation of k nearest neighbors where the shape of the neighborhood is data driven. The neighborhood is elongated along class boundaries and shrunk in the orthogonal direction. This package implements dann and sub_dann from Hastie (1996) <https://web.stanford.edu/~hastie/Papers/dann_IEEE.pdf>.
Author: Greg McMahan [aut, cre]
Maintainer: Greg McMahan <gmcmacran@gmail.com>

Diff between dann versions 1.1.0 dated 2026-04-25 and 1.2.0 dated 2026-08-22

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Package rtika (with last version 3.2.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2025-10-12 3.2.3
2023-05-04 2.7.0
2022-09-26 2.4.1

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Package scITD (with last version 1.0.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2023-09-08 1.0.4
2022-03-25 1.0.2
2022-01-28 1.0.1
2021-11-03 1.0.0

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Package BioUtils (with last version 0.1.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2026-05-22 0.1.3

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Package sreg updated to version 2.1.0 with previous version 2.0.2 dated 2025-08-25

Title: Stratified Randomized Experiments
Description: Estimate average treatment effects (ATEs) in stratified randomized experiments. 'sreg' supports a wide range of stratification designs, including matched pairs, n-tuple designs, and larger strata with many units — possibly of unequal size across strata. 'sreg' is designed to accommodate scenarios with multiple treatments and cluster-level treatment assignments, and accommodates optimal linear covariate adjustment based on baseline observable characteristics. 'sreg' computes estimators and standard errors based on Bugni, Canay, Shaikh (2018) <doi:10.1080/01621459.2017.1375934>; Bugni, Canay, Shaikh, Tabord-Meehan (2024+) <doi:10.48550/arXiv.2204.08356>; Jiang, Linton, Tang, Zhang (2023+) <doi:10.48550/arXiv.2201.13004>; Bai, Jiang, Romano, Shaikh, and Zhang (2024) <doi:10.1016/j.jeconom.2024.105740>; Bai (2022) <doi:10.1257/aer.20201856>; Bai, Romano, and Shaikh (2022) <doi:10.1080/01621459.2021.1883437>; Liu (2024+) <doi:10.48550/arXiv.2301.09016& [...truncated...]
Author: Juri Trifonov [aut, cre, cph], Yuehao Bai [aut], Azeem Shaikh [aut], Max Tabord-Meehan [aut]
Maintainer: Juri Trifonov <jutrifonov@u.northwestern.edu>

Diff between sreg versions 2.0.2 dated 2025-08-25 and 2.1.0 dated 2026-08-22

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Package shinyds updated to version 0.5.0 with previous version 0.3.0 dated 2026-06-08

Title: 'Shiny' Bindings for Designsystemet Components
Description: Provides 'R' wrappers for the Designsystemet component library <https://designsystemet.no>, enabling use of Norwegian government design system components in 'Shiny' applications. Includes web components and CSS-based HTML components with full 'Shiny' input binding support.
Author: Novica Nakov [aut, cre, cph]
Maintainer: Novica Nakov <nnovica@gmail.com>

Diff between shinyds versions 0.3.0 dated 2026-06-08 and 0.5.0 dated 2026-08-22

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Package polite readmission to version 0.1.4 with previous version 0.1.4 dated 2026-05-11

Title: Be Nice on the Web
Description: Be responsible when scraping data from websites by following polite principles: introduce yourself, ask for permission, take slowly and never ask twice.
Author: Dmytro Perepolkin [aut, cre]
Maintainer: Dmytro Perepolkin <dperepolkin@gmail.com>

This is a re-admission after prior archival of version 0.1.4 dated 2026-05-11

Diff between polite versions 0.1.4 dated 2026-05-11 and 0.1.4 dated 2026-08-22

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More information about polite at CRAN
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Package wal updated to version 0.2.1 with previous version 0.1.1 dated 2024-02-02

Title: Read and Write 'wal' Bitmap Image Files and Other 'Quake' Assets
Description: Read 'Quake' assets including bitmap images and textures in 'wal' file format. This package also provides support for extracting these assets from 'WAD' and 'PAK' file archives. It can also read models in 'MDL' and 'MD2' formats.
Author: Tim Schaefer [aut, cre]
Maintainer: Tim Schaefer <ts+code@rcmd.org>

Diff between wal versions 0.1.1 dated 2024-02-02 and 0.2.1 dated 2026-08-22

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Package naivereg updated to version 1.0.7 with previous version 1.0.5 dated 2020-03-18

Title: Nonparametric Additive Instrumental Variable Estimator and Related IV Methods
Description: In empirical studies, instrumental variable (IV) regression is the signature method to solve the endogeneity problem. If we enforce the exogeneity condition of the IV, it is likely that we end up with a large set of IVs without knowing which ones are good. Also, one could face the model uncertainty for structural equation, as large micro dataset is commonly available nowadays. This package uses adaptive group lasso and B-spline methods to select the nonparametric components of the IV function, with the linear function being a special case (naivereg). The package also incorporates two stage least squares estimator (2SLS), generalized method of moment (GMM), generalized empirical likelihood (GEL) methods post instrument selection, logistic-regression instrumental variables estimator (LIVE, for dummy endogenous variable problem), double-selection plus instrumental variable estimator (DS-IV) and double selection plus logistic regression instrumental variable estimator (DS-LIVE), where the [...truncated...]
Author: Qingliang Fan [aut, cre], KongYu He [aut], Wei Zhong [aut]
Maintainer: Qingliang Fan <michaelqfan@xmu.edu.cn>

Diff between naivereg versions 1.0.5 dated 2020-03-18 and 1.0.7 dated 2026-08-22

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2024-06-27 1.2.0
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2022-03-01 1.0.6
2021-04-21 1.0.5
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2021-02-11 1.0.3
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2020-03-09 1.0.1
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Package TMB updated to version 1.9.25 with previous version 1.9.23 dated 2026-07-23

Title: Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'
Description: With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.
Author: Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug [ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen [ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie Brooks [ctb], Alex Forrence [ctb], Christoffer Moesgaard Albertsen [...truncated...]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package screenshot updated to version 0.9.3 with previous version 0.9.2 dated 2025-08-26

Title: Take Screenshots (Screen Capture) from R Command
Description: Take screenshots from R command and locate an image position.
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>

Diff between screenshot versions 0.9.2 dated 2025-08-26 and 0.9.3 dated 2026-08-22

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Package projectLSA updated to version 0.1.1 with previous version 0.0.9 dated 2026-05-09

Title: Shiny Application for Latent Structure Analysis with a Graphical User Interface
Description: Provides an interactive Shiny-based toolkit for conducting latent structure analyses, including Latent Profile Analysis (LPA), Latent Class Analysis (LCA), Latent Trait Analysis (LTA/IRT), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). The implementation is grounded in established methodological frameworks: LPA is supported through 'tidyLPA' (Rosenberg et al., 2018) <doi:10.21105/joss.00978>, LCA through 'poLCA' (Linzer & Lewis, 2011) <doi:10.32614/CRAN.package.poLCA> & 'glca' (Kim & Kim, 2024) <doi:10.32614/CRAN.package.glca>, LTA/IRT via 'mirt' (Chalmers, 2012) <doi:10.18637/jss.v048.i06>, and EFA via 'psych' (Revelle, 2025). SEM and CFA functionalities build upon the 'lavaan' framework (Rosseel, 2012) <doi:10.18637/jss.v048.i02>. The CFA/SEM module additionally supports multi-group invariance testing, latent growth modelling, modification indices, and path diagram visualisation. [...truncated...]
Author: Hasan Djidu [aut, cre] , Heri Retnawati [ctb] , Samsul Hadi [ctb] , Haryanto [ctb]
Maintainer: Hasan Djidu <hasandjidu@gmail.com>

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Package ecan updated to version 0.2.2 with previous version 0.2.1 dated 2023-07-07

Title: Ecological Analysis and Visualization
Description: Support ecological analyses such as ordination and clustering. Contains consistent and easy wrapper functions of 'stat', 'vegan', and 'labdsv' packages, and visualisation functions of ordination and clustering.
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>

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2026-08-04 0.1.0

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2025-01-15 0.2.2.0

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2025-06-13 0.9.6

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2026-03-29 0.3.13
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2023-01-26 0.3.10
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2022-08-27 0.3.8
2020-08-07 0.3.7
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2018-09-02 0.3.4
2018-06-12 0.3.3
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2018-03-01 0.3.1
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2020-05-28 0.1.1
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2024-04-05 1.1
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2024-07-18 1.0.1

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2023-10-08 0.3.0
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2026-07-14 1.6.2
2026-06-30 1.6.1
2026-05-18 1.6.0
2026-04-14 1.5.1
2026-03-23 1.5.0
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2026-08-08 0.9.3

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Package Ropj updated to version 0.3-7 with previous version 0.3-6 dated 2025-03-15

Title: Import Origin(R) Project Files
Description: Read the data from Origin(R) project files ('*.opj') <https://www.originlab.com/doc/User-Guide/Origin-File-Types>. No write support is planned.
Author: Miquel Garriga [aut], Stefan Gerlach [aut], Ion Vasilief [aut], Alex Kargovsky [aut], Knut Franke [ctb], Alexander Semke [ctb], Tilman Benkert [ctb], Kasper Peeters [ctb], Russell Standish [ctb], Mehdi Chinoune [ctb], Ivan Krylov [cre]
Maintainer: Ivan Krylov <ikrylov@disroot.org>

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Package semFromKeys updated to version 0.5.2 with previous version 0.3.0 dated 2026-07-30

Title: Run 'lavaan' Models from Keys Lists
Description: Specifying 'lavaan' models manually can be time consuming when multiple similar models are required. The 'semFromKeys' package streamlines the process of running 'lavaan' models by generating model code from simple keys lists and running entire collections of models at once. The package was inspired by the process used in the code for Bainbridge, T. F., Ludeke, S. G., & Smillie, L. D. (2022) <doi:10.1037/pspp0000395>. The package also optionally checks that identical models have not been run on the same data, which saves time when code needs to be run again.
Author: Timothy F. Bainbridge [aut, cre, cph]
Maintainer: Timothy F. Bainbridge <tfbainbridge@gmail.com>

Diff between semFromKeys versions 0.3.0 dated 2026-07-30 and 0.5.2 dated 2026-08-22

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Package mipfp updated to version 3.2.3 with previous version 3.2.1 dated 2018-08-29

Title: Multidimensional Iterative Proportional Fitting and Alternative Models
Description: An implementation of the iterative proportional fitting (IPFP), maximum likelihood, minimum chi-square and weighted least squares procedures for updating a N-dimensional array with respect to given target marginal distributions (which, in turn can be multidimensional). The package also provides an application of the IPFP to simulate multivariate Bernoulli distributions.
Author: Johan Barthelemy [aut, cre], Thomas Suesse [aut], Mohammad Namazi-Rad [ctb]
Maintainer: Johan Barthelemy <johan@uow.edu.au>

Diff between mipfp versions 3.2.1 dated 2018-08-29 and 3.2.3 dated 2026-08-22

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Package ggstatsplot updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-23

Title: 'ggplot2' Based Plots with Statistical Details
Description: Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses. References: Patil (2021) <doi:10.21105/joss.03236>.
Author: Indrajeet Patil [cre, aut, cph]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package colorrepel updated to version 0.5.2 with previous version 0.5.0 dated 2026-07-13

Title: Repel Visually Similar Colors for Colorblind Users in Various Plots
Description: Iterate and repel visually similar colors away in various 'ggplot2' plots. When many groups are plotted at the same time on multiple axes, for instance stacked bars or scatter plots, effectively ordering colors becomes difficult. This tool iterates through color combinations to find the best solution to maximize visual distinctness of nearby groups, so plots are more friendly toward colorblind users. This is achieved by two distance measurements, distance between groups within the plot, and CIELAB color space distances between colors as described in Carter et al., (2018) <doi:10.25039/TR.015.2018>.
Author: Rui Fu [cre, aut, cph]
Maintainer: Rui Fu <raysinensis@gmail.com>

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More information about colorrepel at CRAN
Permanent link

Package polarzonoid updated to version 0.4-0 with previous version 0.3-0 dated 2026-01-11

Title: Compute Maps and Properties of Polar Zonoids
Description: In each odd dimension is a convex body - the polar zonoid - whose generating functions are trigonometric polynomials. The polar zonoid is a straightforward generalization of the polar zonohedron in dimension 3, as defined by Chilton and Coxeter (1963) <doi:10.2307/2313051>. The package has some applications of the polar zonoid, including the properties of configuration spaces of arcs on the circle and 3x3 rotation matrices. There is also a root solver for trigonometric polynomials.
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

Diff between polarzonoid versions 0.3-0 dated 2026-01-11 and 0.4-0 dated 2026-08-22

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More information about polarzonoid at CRAN
Permanent link

Package nimble updated to version 1.4.3 with previous version 1.4.2 dated 2026-04-01

Title: MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Description: A system for writing hierarchical statistical models largely compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models and do basic R-style math, and compiling both models and nimbleFunctions via custom-generated C++. 'NIMBLE' includes default methods for MCMC, Laplace Approximation, deterministic nested approximations, Monte Carlo Expectation Maximization, and some other tools. The nimbleFunction system makes it easy to do things like implement new MCMC samplers from R, customize the assignment of samplers to different parts of a model from R, and compile the new samplers automatically via C++ alongside the samplers 'NIMBLE' provides. 'NIMBLE' extends the 'BUGS'/'JAGS' language by making it extensible: New distributions and functions can be added, including as calls to external compiled code. Although most people think of MCMC as the main goal of the 'BUGS'/'JAGS' language for writing models, one can use 'NIMBLE' for writing arbitrary other kinds of model-generic al [...truncated...]
Author: Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Nick Michaud [aut], Cliff Anderson-Bergman [aut], Fritz Obermeyer [aut], Claudia Wehrhahn Cortes [aut] , Abel Rodriguez [aut] , Duncan Temple Lang [aut] , Wei Zhang [aut] , [...truncated...]
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

Diff between nimble versions 1.4.2 dated 2026-04-01 and 1.4.3 dated 2026-08-22

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More information about nimble at CRAN
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Fri, 21 Aug 2026

Package tvGarchKF updated to version 1.0.0 with previous version 0.0.1 dated 2025-05-30

Title: Time-Varying Garch Models Through a State-Space Representation
Description: Estimates the time-varying (tv) parameters of the GARCH(1,1) model, enabling the modeling of non-stationary volatilities by allowing the model parameters to change gradually over time. The estimation and prediction processes are facilitated through the application of the Kalman filter and state-space equations. This package supports the estimation of tv parameters for various deterministic functions, which can be identified through exploratory analysis of different time periods or segments of return data. The methodology is grounded in the framework presented by Ferreira et al. (2017) <doi:10.1080/00949655.2017.1334778>.
Author: Guillermo Ferreira [aut], Tomas Arancibia [aut, cre]
Maintainer: Tomas Arancibia <tarancibia2016@udec.cl>

Diff between tvGarchKF versions 0.0.1 dated 2025-05-30 and 1.0.0 dated 2026-08-21

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More information about tvGarchKF at CRAN
Permanent link

Package ravepipeline updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-30

Title: Reproducible Pipeline Infrastructure for Neuroscience
Description: Defines the underlying pipeline structure for reproducible neuroscience, adopted by 'RAVE' (reproducible analysis and visualization of intracranial electroencephalography); provides high-level class definition to build, compile, set, execute, and share analysis pipelines. Both R and 'Python' are supported, with 'Markdown' and 'shiny' dashboard templates for extending and building customized pipelines. See the full documentations at <https://rave.wiki>; to cite us, check out our paper by Magnotti, Wang, and Beauchamp (2020, <doi:10.1016/j.neuroimage.2020.117341>), or run citation("ravepipeline") for details.
Author: Zhengjia Wang [aut, cre, cph], John Magnotti [ctb, res], Xiang Zhang [ctb, res], Michael Beauchamp [ctb, res], Trustees of University of Pennsylvania [cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

Diff between ravepipeline versions 0.1.0 dated 2026-05-30 and 0.2.0 dated 2026-08-21

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More information about ravepipeline at CRAN
Permanent link

Package declared updated to version 0.27 with previous version 0.26 dated 2026-04-02

Title: Functions for Declared Missing Values
Description: A zero dependency package containing functions to declare labels and missing values, coupled with associated functions to create (weighted) tables of frequencies and various other summary measures. Some of the base functions have been rewritten to make use of the specific information about the missing values, most importantly to distinguish between empty and declared NA values. Some functions have similar functionality with the corresponding ones from packages "haven" and "labelled". The aim is to ensure as much compatibility as possible with these packages, while offering an alternative in the objects of class "declared".
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

Diff between declared versions 0.26 dated 2026-04-02 and 0.27 dated 2026-08-21

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More information about declared at CRAN
Permanent link

Package DDIwR updated to version 0.20 with previous version 0.19 dated 2024-12-10

Title: DDI with R
Description: Useful functions for various DDI (Data Documentation Initiative) related inputs and outputs. Converts data files to and from DDI, SPSS, Stata, SAS, R and Excel, including user declared missing values.
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

Diff between DDIwR versions 0.19 dated 2024-12-10 and 0.20 dated 2026-08-21

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More information about DDIwR at CRAN
Permanent link

Package assessor updated to version 1.3.2 with previous version 1.3.1 dated 2026-04-20

Title: Assessment Tools for Regression Models with Discrete and Semicontinuous Outcomes
Description: Provides assessment tools for regression models with discrete and semicontinuous outcomes. The implemented methods are described in Yang (2021) <doi:10.1080/10618600.2021.1910042>, Yang (2024) <doi:10.1080/10618600.2024.2303336>, Yang (2024) <doi:10.1093/biomtc/ujae007>, and Yang (2026) <doi:10.1002/cjs.70046>. It calculates double probability integral transform (DPIT) residuals and constructs QQ plots, ordered curves, quasi-empirical residual distribution functions, and formal goodness-of-fit tests.
Author: Lu Yang [aut], Jeonghwan Lee [cre, aut]
Maintainer: Jeonghwan Lee <lee03938@umn.edu>

Diff between assessor versions 1.3.1 dated 2026-04-20 and 1.3.2 dated 2026-08-21

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More information about assessor at CRAN
Permanent link

Package admisc updated to version 0.41 with previous version 0.40 dated 2026-03-27

Title: Adrian Dusa's Miscellaneous
Description: Contains functions used across packages 'DDIwR', 'QCA' and 'venn'. Interprets and translates, factorizes and negates SOP - Sum of Products expressions, for both binary and multi-value crisp sets, and extracts information (set names, set values) from those expressions. Other functions perform various other checks if possibly numeric (even if all numbers reside in a character vector) and coerce to numeric, or check if the numbers are whole. It also offers, among many others, a highly versatile recoding routine and some more flexible alternatives to the base functions 'with()' and 'within()'. SOP simplification functions in this package use related minimization from package 'QCA', which is recommended to be installed despite not being listed in the Imports field, due to circular dependency issues.
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

Diff between admisc versions 0.40 dated 2026-03-27 and 0.41 dated 2026-08-21

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More information about admisc at CRAN
Permanent link

Package terralink updated to version 1.8.2 with previous version 1.8.0 dated 2026-05-12

Title: Connectivity Corridor Optimization for Raster and Vector Data
Description: Standalone R implementation of habitat connectivity corridor optimization for raster and vector workflows. Supports scenario-based planning with budget-constrained optimization, optional impassable areas, packaged parity fixtures, and comparative before-and-after connectivity metrics. The package exposes structural, movement-oriented, and species-oriented strategies in a reproducible workflow aligned with a companion GIS plugin while avoiding a desktop GIS dependency.
Author: Benjamin Bishop [aut, cre], SORUS Consulting LLC [fnd, cph]
Maintainer: Benjamin Bishop <benjamin.bishop@sorusconsultingllc.com>

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Package MSCsimtester updated to version 1.2 with previous version 1.1 dated 2025-06-02

Title: Tests of Multispecies Coalescent Gene Tree Simulator Output
Description: Statistical tests for validating multispecies coalescent gene tree simulators, using pairwise distances and rooted triple counts. See Allman ES, Baños HD, Rhodes JA 2023. Testing multispecies coalescent simulators using summary statistics, IEEE/ACM Trans Comput Biol Bioinformat, 20(2):1613–1618. <doi:10.1109/TCBB.2022.3177956>.
Author: Elizabeth Allman [aut, cre, cph], Hector Banos [aut, cph], John Rhodes [aut, cph]
Maintainer: Elizabeth Allman <e.allman@alaska.edu>

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Package functionals updated to version 0.5.1 with previous version 0.5.0 dated 2025-07-18

Title: Functional Programming with Parallelism and Progress Tracking
Description: Provides functional tools such as fmap(), fwalk(), and fapply() to iterate over vectors, data frames, or grouped data with optional parallelism and real-time progress tracking. Progress updates now reflect completed tasks across sequential, multicore, and cluster-backed execution. Designed for readable and reproducible workflows, including support for Monte Carlo simulations and benchmarking.
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

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Package testflow updated to version 1.0.0 with previous version 0.9.0 dated 2026-07-17

Title: A Workflow for Statistical Testing and Interpretation
Description: Provides a unified workflow for choosing, running, and interpreting common statistical tests, from group comparisons and analysis of variance to regression, survival analysis, and diagnostic and agreement statistics. The package combines assumption checks, test selection, effect sizes, formatted results, plain-language interpretation, and a sample-size planning module covering continuous, binary, survival, ordinal, bioequivalence, and precision-based designs. Implemented methods follow standard references including Casella and Berger (2002, ISBN:9780534243128), Hollander et al. (2013, ISBN:9781118553299), Agresti (2013, ISBN:9780470463635), Cohen (1988, ISBN:9780805802832), Hosmer, Lemeshow and Sturdivant (2013, ISBN:9780470582473), and Julious (2010, ISBN:9781584887393).
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

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Package missknn updated to version 1.1.2 with previous version 1.0.0 dated 2026-07-24

Title: Fast Masked K-Nearest Neighbor Imputation
Description: Fast masked KNN imputation for tabular data with support for single and multiple imputation.
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

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Package mimar updated to version 1.0.0 with previous version 0.8.0 dated 2026-06-09

Title: Compact Multiple Imputation, Assessment, and Reporting
Description: Provides compact tools for missing-data analysis, including artificial amputation, chained single and multiple imputation, statistical and machine-learning-based imputation methods, diagnostic evaluation, and post-imputation pooling.
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

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Package mcstatsim updated to version 0.5.1 with previous version 0.5.0 dated 2024-07-29

Title: Monte Carlo Statistical Simulation Tools Using a Functional Approach
Description: A lightweight package designed to facilitate statistical simulations through functional programming. It centralizes the simulation process into a single higher-order function, enhancing manageability and usability. The package includes ready-to-use functions for common simulation targets.
Author: Imad El Badisy [aut, cre, cph]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

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Package densemlp updated to version 0.6.0 with previous version 0.5.0 dated 2026-08-08

Title: Dense Neural Networks for Tabular Classification and Regression
Description: Provides dense feed-forward neural network models for tabular regression and classification using 'torch'. The package supports modern extensions around dense neural network blocks, including dropout, batch normalization, residual connections, gated blocks, and optional input projection.
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

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Package stan4bart updated to version 0.0-13 with previous version 0.0-12 dated 2026-03-19

Title: Bayesian Additive Regression Trees with Stan-Sampled Parametric Extensions
Description: Fits semiparametric linear and multilevel models with non-parametric additive Bayesian additive regression tree (BART; Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>) components and Stan (Stan Development Team (2021) <https://mc-stan.org/>) sampled parametric ones. Multilevel models can be expressed using 'lme4' syntax (Bates, Maechler, Bolker, and Walker (2015) <doi:10.18637/jss.v067.i01>).
Author: Vincent Dorie [aut, cre] , Ben Goodrich [ctb] , Jonah Gabry [ctb] , Imad Ali [ctb] , Sam Brilleman [ctb] , Paul-Christian Burkner [ctb] , Joshua Pritikin [ctb] , Andrew Gelman [ctb] , Bob Carpenter [ctb] , Matt Hoffman [ctb] , Daniel Lee [ctb] , Mich [...truncated...]
Maintainer: Vincent Dorie <vdorie@gmail.com>

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Package SLGP updated to version 1.1.0 with previous version 1.0.2 dated 2026-02-17

Title: Spatial Logistic Gaussian Process for Field Density Estimation
Description: Provides tools for conditional and spatially dependent density estimation using Spatial Logistic Gaussian Processes (SLGPs). The approach represents probability densities through finite-rank Gaussian process priors transformed via a spatial logistic density transformation, enabling flexible non-parametric modeling of heterogeneous data. Functionality includes density prediction, quantile and moment estimation, sampling methods, and preprocessing routines for basis functions. Applications arise in spatial statistics, machine learning, and uncertainty quantification. The methodology builds on the framework of Leonard (1978) <doi:10.1111/j.2517-6161.1978.tb01655.x>, Lenk (1988) <doi:10.1080/01621459.1988.10478625>, Tokdar (2007) <doi:10.1198/106186007X210206>, Tokdar (2010) <doi:10.1214/10-BA605>, and is further aligned with recent developments in Bayesian non-parametric modelling: see Gautier (2023) <https://boristheses.unibe.ch/4377/>, and Gautier (2025) &l [...truncated...]
Author: Athenais Gautier [aut, cre]
Maintainer: Athenais Gautier <athenais.gautier@onera.fr>

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Package RCurl updated to version 1.98-1.20 with previous version 1.98-1.19 dated 2026-06-03

Title: General Network (HTTP/FTP/...) Client Interface for R
Description: A wrapper for 'libcurl' <https://curl.se/libcurl/> Provides functions to allow one to compose general HTTP requests and provides convenient functions to fetch URIs, get & post forms, etc. and process the results returned by the Web server. This provides a great deal of control over the HTTP/FTP/... connection and the form of the request while providing a higher-level interface than is available just using R socket connections. Additionally, the underlying implementation is robust and extensive, supporting FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also supports cookies, redirects, authentication, etc.
Author: CRAN Team [ctb] , Duncan Temple Lang [aut] , Ivan Krylov [cre]
Maintainer: Ivan Krylov <ikrylov@disroot.org>

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Package PTXQC updated to version 1.1.6 with previous version 1.1.5 dated 2026-04-23

Title: Quality Report Generation for MaxQuant and mzTab Results
Description: Generates Proteomics (PTX) quality control (QC) reports for shotgun LC-MS data analyzed with the MaxQuant software suite (from .txt files) or mzTab files (ideally from OpenMS 'QualityControl' tool). Reports are customizable (target thresholds, subsetting) and available in HTML or PDF format. Published in J. Proteome Res., Proteomics Quality Control: Quality Control Software for MaxQuant Results (2015) <doi:10.1021/acs.jproteome.5b00780>.
Author: Chris Bielow [aut, cre], Juliane Schmachtenberg [ctb], Swenja Wagner [ctb], Patricia Scheil [ctb], Tom Waschischek [ctb], Guido Mastrobuoni [dtc, rev]
Maintainer: Chris Bielow <chris.bielow@bsc.fu-berlin.de>

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Package pkgfilecache updated to version 0.2.0 with previous version 0.1.5 dated 2024-02-02

Title: Download and Manage Optional Package Data
Description: Manage optional data for your package. The data can be hosted anywhere, and you have to give a Uniform Resource Locator (URL) for each file. File integrity checks are supported. This is useful for package authors who need to ship more than the 5 Megabyte of data currently allowed by the the Comprehensive R Archive Network (CRAN). Download functions are supposed to be called by users in interactive sessions only.
Author: Tim Schaefer [aut, cre]
Maintainer: Tim Schaefer <ts+code@rcmd.org>

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Package bage updated to version 0.10.10 with previous version 0.10.9 dated 2026-05-20

Title: Bayesian Estimation and Forecasting of Age-Specific Rates
Description: Fast Bayesian estimation and forecasting of age-specific rates, probabilities, and means, based on 'Template Model Builder'.
Author: John Bryant [aut, cre], Junni Zhang [aut], Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>

Diff between bage versions 0.10.9 dated 2026-05-20 and 0.10.10 dated 2026-08-21

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Package XML updated to version 3.99-0.24 with previous version 3.99-0.23 dated 2026-03-20

Title: Tools for Parsing and Generating XML Within R and S-Plus
Description: Many approaches for both reading and creating XML (and HTML) documents, both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
Author: CRAN Team [ctb] , Duncan Temple Lang [aut] , Tomas Kalibera [ctb], Ivan Krylov [cre]
Maintainer: Ivan Krylov <ikrylov@disroot.org>

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Package vcdExtra updated to version 0.9.8 with previous version 0.9.7 dated 2026-08-03

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 Friendly, M. and Meyer, D. (2016, ISBN:978-1-4987-2583-5) 'Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data'. Recent work adds colorized tables of frequencies to highlight patterns of association, association graphs to visualize conditional independence and a variety of new or improved statistical tests for categorical data analysis.
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>

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Package SuperLearner updated to version 2.0-41 with previous version 2.0-40 dated 2025-12-21

Title: Super Learner Prediction
Description: Implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.
Author: Eric Polley [aut, cre], Erin LeDell [aut], Chris Kennedy [aut], Sam Lendle [ctb], Mark van der Laan [aut, ths]
Maintainer: Eric Polley <epolley@uchicago.edu>

Diff between SuperLearner versions 2.0-40 dated 2025-12-21 and 2.0-41 dated 2026-08-21

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Package SSBtools updated to version 1.8.8 with previous version 1.8.7 dated 2026-05-12

Title: Algorithms and Tools for Tabular Statistics and Hierarchical Computations
Description: Includes general data manipulation functions, algorithms for statistical disclosure control (Langsrud, 2024) <doi:10.1007/978-3-031-69651-0_6> and functions for hierarchical computations by sparse model matrices (Langsrud, 2023) <doi:10.32614/RJ-2023-088>.
Author: Oeyvind Langsrud [aut, cre] , Daniel Lupp [aut] , Bjoern-Helge Mevik [ctb], Vidar Norstein Klungre [rev] , Statistics Norway [cph]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

Diff between SSBtools versions 1.8.7 dated 2026-05-12 and 1.8.8 dated 2026-08-21

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Package soma updated to version 1.2.1 with previous version 1.2.0 dated 2022-05-02

Title: General-Purpose Optimisation with the Self-Organising Migrating Algorithm
Description: An R implementation of the Self-Organising Migrating Algorithm, a general-purpose, stochastic optimisation algorithm. The approach is similar to that of genetic algorithms, although it is based on the idea of a series of "migrations" by a fixed set of individuals, rather than the development of successive generations. It can be applied to any cost-minimisation problem with a bounded parameter space, and is robust to local minima.
Author: Jon Clayden [cre, aut]
Maintainer: Jon Clayden <code@clayden.org>

Diff between soma versions 1.2.0 dated 2022-05-02 and 1.2.1 dated 2026-08-21

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Package safetensors updated to version 0.3.0 with previous version 0.2.1 dated 2026-04-27

Title: Safetensors File Format
Description: A file format for storing tensors that is secure (doesn't allow for code execution), fast and simple to implement. 'safetensors' also enables cross language and cross frameworks compatibility making it an ideal format for storing machine learning model weights.
Author: Tomasz Kalinowski [ctb, cre], Daniel Falbel [aut], Sebastian Fischer [ctb], Posit [cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

Diff between safetensors versions 0.2.1 dated 2026-04-27 and 0.3.0 dated 2026-08-21

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Package S7schema updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-09

Title: 'S7' Framework for Schema-Validated YAML Configuration
Description: Provides a generic framework for working with YAML (YAML Ain't Markup Language) configuration files. Uses 'ajv' (Another JSON Schema Validator) via 'V8' to validate configurations against JSON Schema definitions. Configuration objects inherit from 'S7' classes and base lists, supporting downstream extension through custom classes and methods.
Author: Aksel Thomsen [aut, cre], Matthew Phelps [aut], Novo Nordisk A/S [cph], Evgeny Poberezkin [cph] , Python Software Foundation [cph] ), Vladimir Zapparov [cph] , Vincent Le Goff [cph] , Vsevolod Strukchinsky [cph]
Maintainer: Aksel Thomsen <oath@novonordisk.com>

Diff between S7schema versions 0.1.1 dated 2026-05-09 and 0.1.2 dated 2026-08-21

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Package RProtoBuf updated to version 0.4.28 with previous version 0.4.27 dated 2026-04-26

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 0.4.27 dated 2026-04-26 and 0.4.28 dated 2026-08-21

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Package QuickJSR updated to version 1.11.0 with previous version 1.10.0 dated 2026-05-17

Title: Interface for the 'QuickJS-NG' Lightweight 'JavaScript' Engine
Description: An 'R' interface to the 'QuickJS' portable 'JavaScript' engine. The engine and all 'R' to 'JavaScript' interoperability is bundled within the package, requiring no dependencies beyond a 'C' compiler.
Author: Andrew R. Johnson [aut, cre] , QuickJS Authors [cph] , QuickJS-NG Authors [cph]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>

Diff between QuickJSR versions 1.10.0 dated 2026-05-17 and 1.11.0 dated 2026-08-21

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Package PatientProfiles updated to version 1.6.1 with previous version 1.6.0 dated 2026-07-25

Title: Identify Characteristics of Patients in the OMOP Common Data Model
Description: Identify the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Mike Du [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Xintong Li [ctb] , Xihang Chen [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

Diff between PatientProfiles versions 1.6.0 dated 2026-07-25 and 1.6.1 dated 2026-08-21

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Package party updated to version 1.3-22 with previous version 1.3-21 dated 2026-07-12

Title: A Laboratory for Recursive Partytioning
Description: A computational toolbox for recursive partitioning. The core of the package is ctree(), an implementation of conditional inference trees which embed tree-structured regression models into a well defined theory of conditional inference procedures. This non-parametric class of regression trees is applicable to all kinds of regression problems, including nominal, ordinal, numeric, censored as well as multivariate response variables and arbitrary measurement scales of the covariates. Based on conditional inference trees, cforest() provides an implementation of Breiman's random forests. The function mob() implements an algorithm for recursive partitioning based on parametric models (e.g. linear models, GLMs or survival regression) employing parameter instability tests for split selection. Extensible functionality for visualizing tree-structured regression models is available. The methods are described in Hothorn et al. (2006) <doi:10.1198/106186006X133933>, Zeileis et al. (2008) <d [...truncated...]
Author: Torsten Hothorn [aut, cre] , Kurt Hornik [aut] , Carolin Strobl [aut] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package Nestimate updated to version 0.8.5 with previous version 0.8.0 dated 2026-07-10

Title: Dynamic, Probabilistic, and Higher-Order Network Analysis
Description: Estimate, compare, and analyze dynamic and psychological networks using a unified interface. Provides transition network analysis estimation (transition, frequency, co-occurrence, attention-weighted) Saqr et al. (2025) <doi:10.1145/3706468.3706513>, psychological network methods (correlation, partial correlation, 'graphical lasso', 'Ising') Saqr, Beck, and Lopez-Pernas (2024) <doi:10.1007/978-3-031-54464-4_19>, and higher-order network methods including higher-order networks, higher-order network embedding, hyper-path anomaly, and multi-order generative model. Supports bootstrap inference, permutation testing, split-half reliability, centrality stability analysis, mixed Markov models, multi-cluster multi-layer networks and clustering.
Author: Mohammed Saqr [aut, cre, cph], Sonsoles Lopez-Pernas [aut], Kamila Misiejuk [aut]
Maintainer: Mohammed Saqr <saqr@saqr.me>

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Package multcomp updated to version 1.4-32 with previous version 1.4-31 dated 2026-07-12

Title: Simultaneous Inference in General Parametric Models
Description: Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).
Author: Torsten Hothorn [aut, cre] , Frank Bretz [aut], Peter Westfall [aut], Richard M. Heiberger [ctb], Andre Schuetzenmeister [ctb], Susan Scheibe [ctb], Christian Ritz [ctb], Christian B. Pipper [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package mlr3cluster updated to version 0.5.0 with previous version 0.4.1 dated 2026-07-10

Title: Cluster Extension for 'mlr3'
Description: Extends the 'mlr3' package with cluster analysis.
Author: Maximilian Muecke [aut, cre] , Damir Pulatov [aut], Michel Lang [aut] , Marc Becker [ctb]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package jsutils updated to version 0.4.0 with previous version 0.3.0 dated 2026-05-17

Title: 'JavaScript' Utilities for 'R'
Description: A collection of popular/useful JavaScript utilities, including the terser minifier, sass compiler, typescript transpiler, and more.
Author: Andrew R. Johnson [aut, cre]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>

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Package BMIselect updated to version 1.0.9 with previous version 1.0.4 dated 2026-07-09

Title: Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Datasets
Description: Provides a suite of Bayesian MI-LASSO for variable selection methods for multiply-imputed datasets. The package includes four Bayesian MI-LASSO models using shrinkage (Multi-Laplace, Horseshoe, ARD) and Spike-and-Slab (Spike-and-Laplace) priors, along with tools for model fitting via MCMC, four-step projection predictive variable selection, and hyperparameter calibration. Methods are suitable for both continuous and binary covariates under missing-at-random or missing-completely-at-random assumptions. See Zou, J., Wang, S. and Chen, Q. (2025), Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Data. ArXiv, 2211.00114. <doi:10.48550/arXiv.2211.00114> for more details. We also provide the frequentist MI-LASSO function.
Author: Jungang Zou [aut, cre], Sijian Wang [aut], Qixuan Chen [aut]
Maintainer: Jungang Zou <jungang.zou@gmail.com>

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Package subincomeR updated to version 0.6.0 with previous version 0.5.0 dated 2026-05-08

Title: Access to Global Sub-National Income Data
Description: Provides access to granular sub-national income data from the MCC-PIK Database Of Sub-national Economic Output (DOSE). The package downloads and processes the data from its open repository on 'Zenodo' (<https://zenodo.org/records/20035157>). Functions are provided to fetch data at multiple geographic levels, match coordinates to administrative regions, and access associated geometries.
Author: Pablo Garcia Guzman [aut, cre, cph]
Maintainer: Pablo Garcia Guzman <garciagp@ebrd.com>

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Package scopusflow updated to version 0.4.0 with previous version 0.1.0 dated 2026-06-20

Title: A Reproducible Workflow Layer for 'Scopus' Bibliographic Searches
Description: A coherent, quota-aware workflow layer over the Elsevier 'Scopus' Search 'API' <https://dev.elsevier.com/sc_apis.html>. It builds reproducible search plans, retrieves records with rate-limit handling, retry with back-off and optional resumable caching, normalises results to a stable tidy schema, extracts and tracks changes in Digital Object Identifiers (DOIs), sizes sets of concepts and their intersections, compares publication trends across topics, writes the search up as a reproducible record for a methods section following the 'PRISMA-S' reporting standard (Rethlefsen and others, 2021) <doi:10.1186/s13643-020-01542-z> and exports to formats compatible with downstream bibliometric tools. Network and 'API' errors are surfaced as typed conditions so that callers can respond to them programmatically. 'Scopus' is a trademark of Elsevier. This package is an independent client and is not affiliated with or endorsed by Elsevier.
Author: Pablo Bernabeu [aut, cre]
Maintainer: Pablo Bernabeu <pcbernabeu@gmail.com>

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Package RATest updated to version 0.1.11 with previous version 0.1.10 dated 2022-09-29

Title: Randomization Tests
Description: A collection of randomization tests, data sets and examples. The current version focuses on five testing problems and their implementation in empirical work. First, it facilitates the empirical researcher to test for particular hypotheses, such as comparisons of means, medians, and variances from k populations using robust permutation tests, which asymptotic validity holds under very weak assumptions, while retaining the exact rejection probability in finite samples when the underlying distributions are identical. Second, the description and implementation of a permutation test for testing the continuity assumption of the baseline covariates in the sharp regression discontinuity design (RDD) as in Canay and Kamat (2018) <https://goo.gl/UZFqt7>. More specifically, it allows the user to select a set of covariates and test the aforementioned hypothesis using a permutation test based on the Cramer-von Misses test statistic. Graphical inspection of the empirical CDF and histograms for [...truncated...]
Author: Mauricio Olivares [aut, cre], Ignacio Sarmiento-Barbieri [aut]
Maintainer: Mauricio Olivares <mau.olivarego@gmail.com>

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Package MoTBFs updated to version 2.0 with previous version 1.4.2 dated 2025-07-22

Title: Learning Hybrid Bayesian Networks using Mixtures of Truncated Basis Functions
Description: Learning, manipulation and evaluation of mixtures of truncated basis functions (MoTBFs), which include mixtures of polynomials (MOPs) and mixtures of truncated exponentials (MTEs). MoTBFs are a flexible framework for modelling hybrid Bayesian networks (I. Pérez-Bernabé, A. Salmerón, H. Langseth (2015) <doi:10.1007/978-3-319-20807-7_36>; H. Langseth, T.D. Nielsen, I. Pérez-Bernabé, A. Salmerón (2014) <doi:10.1016/j.ijar.2013.09.012>; I. Pérez-Bernabé, A. Fernández, R. Rumí, A. Salmerón (2016) <doi:10.1007/s10618-015-0429-7>). The package provides functionality for learning univariate, multivariate and conditional densities, with the possibility of incorporating prior knowledge. Structural learning of hybrid Bayesian networks is also provided. A set of useful tools is provided, including plotting, printing and likelihood evaluation. This package makes use of S3 objects, with two new classes called 'motbf' and 'jointmotbf'.
Author: Inmaculada Perez-Bernabe [aut], Antonio Salmeron [aut], Thomas D. Nielsen [aut], Angel T. Saez-Ruiz [aut], Ana D. Maldonado [aut, cre]
Maintainer: Ana D. Maldonado <ana.d.maldonado@ual.es>

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Package mcgf updated to version 1.2.0 with previous version 1.1.1 dated 2024-06-29

Title: Markov Chain Gaussian Fields Simulation and Parameter Estimation
Description: Simulating and estimating (regime-switching) Markov chain Gaussian fields with spatio-temporal covariance functions of the Gneiting class (Gneiting 2002) <doi:10.1198/016214502760047113>, including the regime-switching framework of Jia and Sezer (2025) <doi:10.1063/5.0285012>. It supports parameter estimation by weighted least squares and approximate conditional maximum likelihood methods, and produces Kriging forecasts and intervals for existing and new locations.
Author: Tianxia Jia [aut, cre, cph]
Maintainer: Tianxia Jia <tylarjia@outlook.com>

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Package mapnhanespa updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-02

Title: Map Quantiles for Physical Activity from 'NHANES'
Description: Maps physical activity from the National Health and Nutrition Examination Survey ('NHANES') study into population-based quantiles.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package IsoplotRgui updated to version 7.0 with previous version 6.8 dated 2025-10-27

Title: Web Interface to 'IsoplotR'
Description: Provides a graphical user interface to the 'IsoplotR' package for radiometric geochronology. The GUI runs in an internet browser and can either be used offline, or hosted on a server to provide online access to the 'IsoplotR' toolbox.
Author: Pieter Vermeesch [aut, cre], Tim Band [ctb]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

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Package freegroup updated to version 1.2-1-1 with previous version 1.2-1 dated 2026-07-15

Title: The Free Group
Description: The free group in R; juxtaposition is represented by a plus. Includes inversion, multiplication by a scalar, group-theoretic power operation, and Tietze forms. To cite the package in publications please use Hankin (2022) <doi:10.48550/ARXIV.2212.05883>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package flightsbr updated to version 1.2.0 with previous version 1.1.1 dated 2025-07-24

Title: Download Flight and Airport Data from Brazil
Description: Download flight and airport data from Brazil’s Civil Aviation Agency (ANAC) <https://www.gov.br/anac/pt-br>. The data covers detailed information on aircraft, airports, and airport operations registered with ANAC. It also includes data on airfares, all international flights to and from Brazil, and domestic flights within the country.
Author: Rafael H. M. Pereira [aut, cre] , Arthur Bazolli [ctb], Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package FinanceGraphs updated to version 0.9.2 with previous version 0.9.0 dated 2026-06-22

Title: Flexible Graphs for Analysis of Financial Data and Time Series
Description: Flexible wrappers around R graphics modules 'dygraphs' <https://dygraphs.com/> and 'ggplot2' <https://ggplot2.tidyverse.org/> to visualize data commonly found in Financial Studies, with an emphasis on time series. Interactive time series plots include multiple options for incorporating external data such as forecasts and events. Other static plots useful for time series data include an intuitive and generic scatter plotter, a boxplot generator suitable for multiple time series, and event study plotters for time series analysis around sets of dates.
Author: Derek Holmes [aut, cre, cph]
Maintainer: Derek Holmes <derek@derekholmes.com>

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Package familiar updated to version 2.0.3 with previous version 2.0.2 dated 2026-06-01

Title: End-to-End Automated Machine Learning and Model Evaluation
Description: Single unified interface for end-to-end modelling of regression, categorical and time-to-event (survival) outcomes. Models created using familiar are self-containing, and their use does not require additional information such as baseline survival, feature clustering, or feature transformation and normalisation parameters. Model performance, calibration, risk group stratification, (permutation) variable importance, individual conditional expectation, partial dependence, and more, are assessed automatically as part of the evaluation process and exported in tabular format and plotted, and may also be computed manually using export and plot functions. Where possible, metrics and values obtained during the evaluation process come with confidence intervals.
Author: Alex Zwanenburg [aut, cre] , Steffen Loeck [aut], German Cancer Research Center [cph], Technische Universitaet Dresden [cph]
Maintainer: Alex Zwanenburg <alex.zwanenburg@outlook.com>

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Package eulerr updated to version 8.3.0 with previous version 8.1.0 dated 2026-06-30

Title: Area-Proportional Euler and Venn Diagrams
Description: Generate area-proportional Euler diagrams using numerical optimization. A Euler diagram is a generalization of a Venn diagram, relaxing the criterion that all interactions need to be represented. Diagrams may be fit with circles, ellipses, squares, and rectangles via a wide range of inputs and can be visualized in numerous ways.
Author: Johan Larsson [aut, cre, cph] , A. Jonathan R. Godfrey [ctb], Peter Gustafsson [ctb], David H. Eberly [ctb] , Emanuel Huber [ctb] , Florian Prive [ctb]
Maintainer: Johan Larsson <johan@jolars.co>

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Package edfinr updated to version 0.2.0 with previous version 0.1.1 dated 2025-08-26

Title: Access Tidy Education Finance Data
Description: Provides easy access to tidy education finance data using Bellwether's methodology to combine NCES F-33 Survey, Census Bureau Small Area Income Poverty Estimates (SAIPE), community data from the ACS 5-Year Estimates, the Comparable Wage Index for Teachers (CWIFT) from NCES EDGE, and school district land area from U.S. Census Bureau Gazetteer Files. The package simplifies downloading, caching, and filtering education finance data by year and state, enabling researchers and analysts to explore K-12 education funding patterns, revenue sources, expenditure categories, and demographic factors across U.S. school districts.
Author: Alex Spurrier [aut, cre], Krista Kaput [aut], Michael Chrzan [ctb], Bellwether [cph]
Maintainer: Alex Spurrier <alex.spurrier@bellwether.org>

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Package DrugUtilisation updated to version 1.3.1 with previous version 1.3.0 dated 2026-07-24

Title: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model
Description: Summarise patient-level drug utilisation cohorts using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. New users and prevalent users cohorts can be generated and their characteristics, indication and drug use summarised.
Author: Marti Catala [aut, cre] , Mike Du [ctb] , Yuchen Guo [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Xintong Li [ctb] , Marta Alcalde-Herraiz [ctb] , Nuria Mercade-Besora [aut] , Xihang Chen [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package chiOpenData updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-16

Title: Convenient Access to Chicago Open Data API Endpoints
Description: Provides simple, reproducible access to datasets from the Chicago Open Data portal <https://data.cityofchicago.org/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API.
Author: Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>

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Package birp readmission to version 0.0.6 with previous version 0.0.5 dated 2025-07-12

Title: Testing for Population Trends Using Low-Cost Ecological Count Data
Description: A Bayesian tool to test for population trends and changes in trends under arbitrary designs, including before-after (BA), control-intervention (CI) and before-after-control-intervention (BACI) designs commonly used to assess conservation impact. It infers changes in trends jointly from data obtained with multiple survey methods, as well as from limited and noisy data not necessarily collected in standardized ecological surveys. Observed counts can be modeled as following either a Poisson or a negative binomial model, and both deterministic and stochastic trend models are available. For more details on the model see Singer et al. (2025) <doi:10.1101/2025.01.08.631844>, and the file 'AUTHORS' for a list of copyright holders and contributors.
Author: Madleina Caduff [aut], Andreas Fueglistaler [aut, cre], Daniel Wegmann [aut], Liam Singer [aut], Raphael Eckel [ctb]
Maintainer: Andreas Fueglistaler <andreas.fueglistaler@unifr.ch>

This is a re-admission after prior archival of version 0.0.5 dated 2025-07-12

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Package BIGpopA updated to version 2.0.0 with previous version 1.0.6 dated 2026-07-16

Title: Pedigree Validation Genetic Composition of Diploids & Polyploids
Description: Tools for pedigree quality control and genomic breed/line composition estimation in diploid and polyploid breeding populations. 'BIGpopA' provides functions to check and correct common pedigree errors, assign parentage from SNP genotype data using Mendelian error rates, validate parent-offspring trios, and estimate genome-wide breed or line composition using quadratic programming. Pedigree validation and parentage assignment support any ploidy, using a polysomic Mendelian test for even ploidy and a homozygosity-based check for odd ploidy. For more details about the included 'breedTools' functions, see Funkhouser et al. (2017) <doi:10.2527/tas2016.0003>.
Author: Josue Chinchilla-Vargas [cre, aut], Alexander Sandercock [aut], University of Florida [cph]
Maintainer: Josue Chinchilla-Vargas <josue.chinchilla@ufl.edu>

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Package biglasso updated to version 1.7.0 with previous version 1.6.1 dated 2025-03-05

Title: Extending Lasso Model Fitting to Big Data
Description: Extend lasso and elastic-net model fitting for large data sets that cannot be loaded into memory. Designed to be more memory- and computation-efficient than existing lasso-fitting packages like 'glmnet' and 'ncvreg', thus allowing the user to analyze big data with limited RAM <doi:10.32614/RJ-2021-001>.
Author: Yaohui Zeng [aut], Chuyi Wang [aut], Tabitha Peter [aut], Patrick Breheny [aut, cre]
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

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Package Anthropometry updated to version 1.22 with previous version 1.21 dated 2025-12-04

Title: Statistical Methods for Anthropometric Data
Description: Statistical methodologies especially developed to analyze anthropometric data. These methods are aimed at providing effective solutions to some commons problems related to Ergonomics and Anthropometry. They are based on clustering, the statistical concept of data depth, statistical shape analysis and archetypal analysis. Please see Vinue (2017) <doi:10.18637/jss.v077.i06>.
Author: Guillermo Vinue [aut, cre], Irene Epifanio [aut], Amelia Simo [aut], M. Victoria Ibanez [aut], Juan Domingo [aut], Guillermo Ayala [aut]
Maintainer: Guillermo Vinue <guillermo.vinue@uv.es>

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Package ICEHmeasures updated to version 2.1.0 with previous version 2.0.0 dated 2026-08-03

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>

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Package agregR updated to version 1.0.4 with previous version 1.0.3 dated 2026-03-06

Title: Bayesian State-Space Aggregation of Brazilian Presidential Polls
Description: A set of dynamic measurement models to estimate latent vote shares from noisy polling sources. The models build on Jackman (2009, ISBN: 9780470011546) and feature specialized methods for bias adjustment based on past performance and correction for asymmetric errors based on candidate political alignment.
Author: Rafael N. Magalhaes [aut, cre]
Maintainer: Rafael N. Magalhaes <rnunesmagalhaes@gmail.com>

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