Thu, 03 Sep 2026

Package vntrs updated to version 0.3.0 with previous version 0.2.1 dated 2026-05-07

Title: Variable Neighborhood Trust Region Search
Description: Implements a variable neighborhood trust region search (VNTRS) algorithm for nonlinear global optimization, based on Bierlaire et al. (2009) "A Heuristic for Nonlinear Global Optimization" <doi:10.1287/ijoc.1090.0343>. The method combines neighborhood exploration with a trust-region framework to search the solution space efficiently. It can terminate a local search early when the iterates converge toward a previously visited local optimum or when further improvement within the current region is unlikely. The algorithm can also be used to identify multiple local optima.
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package kerasnip updated to version 0.2.0 with previous version 0.1.2 dated 2026-05-02

Title: A Bridge Between 'keras' and 'tidymodels'
Description: Provides a seamless bridge between 'keras' and the 'tidymodels' frameworks. It allows for the dynamic creation of 'parsnip' model specifications for 'keras' models.
Author: David Diaz [aut, cph, cre]
Maintainer: David Diaz <daviddrsch@gmail.com>

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Package casebase updated to version 0.10.7 with previous version 0.10.6 dated 2024-08-17

Title: Fitting Flexible Smooth-in-Time Hazards and Risk Functions via Logistic and Multinomial Regression
Description: Fit flexible and fully parametric hazard regression models to survival data with single event type or multiple competing causes via logistic and multinomial regression. Our formulation allows for arbitrary functional forms of time and its interactions with other predictors for time-dependent hazards and hazard ratios. From the fitted hazard model, we provide functions to readily calculate and plot cumulative incidence and survival curves for a given covariate profile. This approach accommodates any log-linear hazard function of prognostic time, treatment, and covariates, and readily allows for non-proportionality. We also provide a plot method for visualizing incidence density via population time plots. Based on the case-base sampling approach of Hanley and Miettinen (2009) <DOI:10.2202/1557-4679.1125>, Saarela and Arjas (2015) <DOI:10.1111/sjos.12125>, and Saarela (2015) <DOI:10.1007/s10985-015-9352-x>.
Author: Sahir Bhatnagar [aut, cre] , Maxime Turgeon [aut] , Jesse Islam [aut] , Olli Saarela [aut] , James Hanley [aut]
Maintainer: Sahir Bhatnagar <sahir.bhatnagar@gmail.com>

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Package serad updated to version 0.2.4 with previous version 0.2.3 dated 2026-07-23

Title: Standardized Economic Reporting and Automated Dynamic Writing / Synthèse d'Écrits Avec des Règles Automatisées et Dynamiques
Description: Provides tools for generating dynamic and standardized economic narratives in R Markdown documents. The package is primarily designed for French-language statistical and economic publications. It includes functions to describe changes in levels, percentages, trends, accelerations and short-term economic developments using consistent linguistic rules. The package supports automated reporting workflows and reproducible economic writing. Fournit des outils permettant de générer des textes économiques dynamiques et standardisés dans des documents R Markdown. Le package est principalement conçu pour les publications statistiques et économiques en français. Il propose des fonctions permettant de décrire les évolutions de niveaux, de pourcentages, de tendances, d'accélérations et les évolutions conjoncturelles à l'aide de règles linguistiques homogènes. Le package facilite l'automatisation de la rédaction et la reproductibilité des publications économiques.
Author: Alexandre Cazenave-Lacroutz [aut] , Jules Lejas [cre], Direction de l'animation de la recherche, des etudes et des statistiques [cph]
Maintainer: Jules Lejas <jules.lejas@gmail.com>

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Package lucid updated to version 1.12 with previous version 1.11 dated 2026-03-03

Title: Printing Floating Point Numbers in a Human-Friendly Format
Description: Print vectors (and data frames) of floating point numbers using a non-scientific format optimized for human readers. Vectors of numbers are rounded using significant digits, aligned at the decimal point, and all zeros trailing the decimal point are dropped. See: Wright (2016). Lucid: An R Package for Pretty-Printing Floating Point Numbers. In JSM Proceedings, Statistical Computing Section. Alexandria, VA: American Statistical Association. 2270-2279.
Author: Kevin Wright [aut, cre, cph]
Maintainer: Kevin Wright <kw.stat@gmail.com>

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Package sievetest updated to version 1.2.4 with previous version 1.2.3 dated 2018-06-07

Title: Laboratory Sieve Test Reporting Functions
Description: Functions for making particle-size analysis. Sieve tests are widely used to obtain particle-size distribution of powders or granular materials.
Author: Petr Matousu [aut, cre]
Maintainer: Petr Matousu <pmatousu@ipmtech.cz>

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Package Deriv updated to version 4.3.5 with previous version 4.3.0 dated 2026-07-23

Title: Symbolic Differentiation
Description: R-based solution for symbolic differentiation. It admits user-defined function as well as function substitution in arguments of functions to be differentiated. Some symbolic simplification is part of the work.
Author: Andrew Clausen [aut], Serguei Sokol [aut, cre] , Andreas Rappold [ctb]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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Package crandep updated to version 0.3.14 with previous version 0.3.13 dated 2025-06-16

Title: Network Analysis of Dependencies of CRAN Packages
Description: The dependencies of CRAN packages can be analysed in a network fashion. For each package we can obtain the packages that it depends, imports, suggests, etc. By iterating this procedure over a number of packages, we can build, visualise, and analyse the dependency network, enabling us to have a bird's-eye view of the CRAN ecosystem. One aspect of interest is the number of reverse dependencies of the packages, or equivalently the in-degree distribution of the dependency network. This can be fitted by the power law and/or an extreme value mixture distribution <doi:10.1111/stan.12355>, of which functions are provided.
Author: Clement Lee [aut, cre]
Maintainer: Clement Lee <clement.lee.tm@outlook.com>

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Package allofus updated to version 1.3.0 with previous version 1.2.0 dated 2024-11-06

Title: Interface for 'All of Us' Researcher Workbench
Description: Streamline use of the 'All of Us' Researcher Workbench (<https://www.researchallofus.org/data-tools/workbench/>)with tools to extract and manipulate data from the 'All of Us' database. Increase interoperability with the Observational Health Data Science and Informatics ('OHDSI') tool stack by decreasing reliance of 'All of Us' tools and allowing for cohort creation via 'Atlas'. Improve reproducible and transparent research using 'All of Us'.
Author: Louisa Smith [aut, cre, cph] , Rob Cavanaugh [aut, cph]
Maintainer: Louisa Smith <l.smith@northeastern.edu>

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Package wideRhino updated to version 1.3.0 with previous version 1.2.0 dated 2026-07-02

Title: High-Dimensional Methods via Generalised Singular Decomposition
Description: Construct a Canonical Variate Analysis Biplot via the Generalised Singular Value Decomposition, for cases when the number of samples is less than the number of variables. For more information on these biplots, see Ganey, R., & Gardner-Lubbe, S. (2026) <doi:10.1007/s10260-025-00831-y>.
Author: Raeesa Ganey [aut, cre]
Maintainer: Raeesa Ganey <Raeesa.ganey@wits.ac.za>

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Package trend updated to version 1.1.8 with previous version 1.1.7 dated 2026-07-14

Title: Non-Parametric Trend Tests and Change-Point Detection
Description: The analysis of environmental data often requires the detection of trends and change-points. This package includes tests for trend detection (Cox-Stuart Trend Test, Mann-Kendall Trend Test, (correlated) Hirsch-Slack Test, partial Mann-Kendall Trend Test, multivariate (multisite) Mann-Kendall Trend Test, (Seasonal) Sen's slope, partial Pearson and Spearman correlation trend test), change-point detection (Lanzante's test procedures, Pettitt's test, Buishand Range Test, Buishand U Test, Standard Normal Homogeinity Test), detection of non-randomness (Wallis-Moore Phase Frequency Test, Bartels rank von Neumann's ratio test, Wald-Wolfowitz Test) and the two sample Robust Rank-Order Distributional Test.
Author: Thorsten Pohlert [aut, cre]
Maintainer: Thorsten Pohlert <thorsten.pohlert@gmx.de>

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Package RcppExamples updated to version 0.1.11 with previous version 0.1.10 dated 2025-03-17

Title: Examples using 'Rcpp' to Interface R and C++
Description: Examples for Seamless R and C++ integration The 'Rcpp' package contains a C++ library that facilitates the integration of R and C++ in various ways. This package provides some usage examples. Note that the documentation in this package currently does not cover all the features in the package. The site <https://gallery.rcpp.org> regroups a large number of examples for 'Rcpp'.
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package proustr updated to version 0.4.1 with previous version 0.4.0 dated 2019-02-05

Title: Tools for Natural Language Processing in French
Description: Tools for Natural Language Processing in French and texts from Marcel Proust's collection "A La Recherche Du Temps Perdu". The novels contained in this collection are "Du cote de chez Swann ", "A l'ombre des jeunes filles en fleurs","Le Cote de Guermantes", "Sodome et Gomorrhe I et II", "La Prisonniere", "Albertine disparue", and "Le Temps retrouve".
Author: Colin Fay [aut, cre]
Maintainer: Colin Fay <contact@colinfay.me>

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Package openNCAI updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-13

Title: Calculates a Natural Capital Assets Index
Description: Calculates a regional natural capital assets index (NCAI) following the methodology designed by NatureScot for Scotland as described in Albon, Balana, Brooker & Eastwood (2014) <https://www.nature.scot/sites/default/files/2025-06/naturescot-commissioned-report-751.pdf> and McKenna et al. (2019) <doi:10.1016/J.ECOLIND.2019.105645>. Processes habitat extent and condition data alongside metadata and weighting systems to produce a yearly single figure indexed relative to a base-year value of 100.
Author: Kate O'Hara [aut, cre], Chris Littleboy [aut]
Maintainer: Kate O'Hara <k.a.ohara@stir.ac.uk>

Diff between openNCAI versions 0.1.0 dated 2026-05-13 and 0.2.0 dated 2026-09-03

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Package MetaEntropy updated to version 1.4 with previous version 1.3 dated 2026-03-09

Title: Functional Shannon Entropy for Virome Mutational Analysis
Description: Estimates Shannon entropy, per gene and per genomic position, associated with non-synonymous mutation frequencies in viral populations, such as wastewater samples. The package uses codon translations for functional insights. Each amino acid can be treated as an individual state, resulting in a 20-state entropy computation, or grouped into one of six physicochemical classes, adding further functional context. Provides normalized values (0-1 scale) to facilitate the direct comparison of different genomic positions or total functional entropy across multiple metagenomes. Designed to analyze mutational data using tabular 'Single Nucleotide Variant' (SNV) frequency tables generated by variant callers (e.g., 'iVar' or 'LoFreq'), operating independently of consensus sequence estimation and multiple sequence alignment.
Author: Leandro Roberto Jones [aut, cre] , Julieta Marina Manrique [aut]
Maintainer: Leandro Roberto Jones <lrj000@gmail.com>

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Package MAIVE updated to version 0.3.0 with previous version 0.2.5 dated 2026-08-20

Title: Meta Analysis Instrumental Variable Estimator
Description: Meta-analysis traditionally assigns more weight to studies with lower standard errors, assuming higher precision. However, in observational research, precision must be estimated and is vulnerable to manipulation, such as p-hacking, to achieve statistical significance. This can lead to spurious precision, invalidating inverse-variance weighting and bias-correction methods like funnel plots. Common methods for addressing publication bias, including selection models, often fail or exacerbate the problem. This package introduces an instrumental variable approach to limit bias caused by spurious precision in meta-analysis. Methods are described in 'Irsova et al.' (2025) <doi:10.1038/s41467-025-63261-0>.
Author: Zuzana Irsova [aut] , Pedro R. D. Bom [aut] , Tomas Havranek [aut] , Heiko Rachinger [aut] , Petr Cala [aut, cre]
Maintainer: Petr Cala <cala.p@seznam.cz>

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Package evgam updated to version 1.0.2 with previous version 1.0.1 dated 2025-09-23

Title: Generalised Additive Extreme Value Models
Description: Methods for fitting various extreme value distributions with parameters of generalised additive model (GAM) form are provided. For details of distributions see Coles, S.G. (2001) <doi:10.1007/978-1-4471-3675-0>, GAMs see Wood, S.N. (2017) <doi:10.1201/9781315370279>, and the fitting approach see Wood, S.N., Pya, N. & Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>. Details of how evgam works and various examples are given in Youngman, B.D. (2022) <doi:10.18637/jss.v103.i03>.
Author: Ben Youngman [aut, cre]
Maintainer: Ben Youngman <b.youngman@exeter.ac.uk>

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Package bunsen updated to version 0.1.1 with previous version 0.1.0 dated 2025-05-29

Title: Marginal Survival Estimation with Covariate Adjustment
Description: Provides an efficient and robust implementation for estimating marginal Hazard Ratio (HR) and Restricted Mean Survival Time (RMST) with covariate adjustment using Daniel et al. (2021) <doi:10.1002/bimj.201900297> and Karrison et al. (2018) <doi:10.1177/1740774518759281>.
Author: Xinlei Deng [cre, aut] , Mark Baillie [aut] , Craig Wang [aut] , Dominic Magirr [aut], Alex Przybylski [aut]
Maintainer: Xinlei Deng <xinlei.deng@novartis.com>

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More information about bunsen at CRAN
Permanent link

New package spfcICOMP with initial version 0.1.0
Package: spfcICOMP
Title: Shrinkage Principal Fitted Components with Information Complexity-Based Model Selection
Version: 0.1.0
Description: Implements shrinkage principal fitted components for sufficient dimension reduction in high-dimensional regression and classification. Provides regularised covariance estimation using Oracle Approximating Shrinkage and Maximum Entropy Covariance, structural-dimension selection using conventional and information-complexity criteria, response-guided feature screening, reduced-space prediction, and simulation utilities. Methodological foundations include Cook and Forzani (2008) <doi:10.1214/08-STS275>, Chen et al. (2010) <doi:10.1109/TSP.2010.2053029>, Bozdogan (2000) <doi:10.1006/jmps.1999.1277>, and Olorede and Yahya (2019) <doi:10.48550/arXiv.1909.13017>.
License: MIT + file LICENSE
URL: https://github.com/ilovemaths/spfcICOMP
BugReports: https://github.com/ilovemaths/spfcICOMP/issues
Encoding: UTF-8
Language: en-GB
Imports: MASS
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2026-08-21 20:26:55 UTC; DR OLOREDE
Author: Kabir Opeyemi Olorede [aut, cre, cph]
Maintainer: Kabir Opeyemi Olorede <kabir.olorede@kwasu.edu.ng>
Repository: CRAN
Date/Publication: 2026-09-03 13:50:02 UTC

More information about spfcICOMP at CRAN
Permanent link

Package RDesk updated to version 1.0.7 with previous version 1.0.5 dated 2026-04-22

Title: Native Desktop Application Framework
Description: Build native desktop applications for Windows (with future support planned for macOS and Linux) using 'R' and embedded 'webviews'. Provides a robust 'R6'-based event loop, asynchronous background task management via 'mirai' and 'callr', and a native message bridge for seamless 'R'-to-user-interface communication without listening ports or network overhead. Allows 'R' developers to create professional, standalone desktop tools with modern web-based user interfaces while maintaining a pure 'R' backend.
Author: Janakiraman G [aut, cre, cph] , Serge Zaitsev [cph] ), Steffen Andre Langnes [cph] ), Bjoern Hoehrmann [cph] , Florian Loitsch [cph] , Niels Lohmann [cph] ), Evan Nemerson [cph] , The Abseil Authors [cph] , Microsoft Corporation [cph] )
Maintainer: Janakiraman G <janakiraman.bt@gmail.com>

Diff between RDesk versions 1.0.5 dated 2026-04-22 and 1.0.7 dated 2026-09-03

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More information about RDesk at CRAN
Permanent link

New package K4Guru with initial version 0.1.0
Package: K4Guru
Title: Teacher Context Data Files for TIMSS 2023 Grade 4
Version: 0.1.0
Description: The official Trends in International Mathematics and Science Study (TIMSS) 2023 website provides Teacher Context Data Files for Grade 4 in RData format. However, the available data are presented solely as numerical values. This package transforms the numerical data into categorical variables, enabling clearer interpretation and reducing ambiguity in statistical analysis. The category labels are provided in Bahasa Indonesia. This initiative contributes to promoting the use of Bahasa Indonesia in programming, in line with its designation as one of the official languages of the United Nations. For more details see <https://timss2023.org/>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-08-06 14:40:44 UTC; HP
Author: Fadhlul Mubarak [aut, cre] , Vinny Yuliani Sundara [aut]
Maintainer: Fadhlul Mubarak <mubarakfadhlul@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 13:10:03 UTC

More information about K4Guru at CRAN
Permanent link

Package dodgr updated to version 0.5.0 with previous version 0.4.3 dated 2025-09-01

Title: Distances on Directed Graphs
Description: Distances on dual-weighted directed graphs using priority-queue shortest paths (Padgham (2019) <doi:10.32866/6945>). Weighted directed graphs have weights from A to B which may differ from those from B to A. Dual-weighted directed graphs have two sets of such weights. A canonical example is a street network to be used for routing in which routes are calculated by weighting distances according to the type of way and mode of transport, yet lengths of routes must be calculated from direct distances.
Author: Mark Padgham [aut, cre], Andreas Petutschnig [aut], David Cooley [aut], Robin Lovelace [ctb], Andrew Smith [ctb], Malcolm Morgan [ctb], Andrea Gilardi [ctb] , Eduardo Leoni [ctb] , Shane Saunders [cph] , Stanislaw Adaszewski [cph] , Harry Roberts [ct [...truncated...]
Maintainer: Mark Padgham <mark.padgham@email.com>

Diff between dodgr versions 0.4.3 dated 2025-09-01 and 0.5.0 dated 2026-09-03

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Package designit updated to version 0.5.1 with previous version 0.5.0 dated 2024-03-21

Title: Blocking and Randomization for Experimental Design
Description: Intelligently assign samples to batches in order to reduce batch effects. Batch effects can have a significant impact on data analysis, especially when the assignment of samples to batches coincides with the contrast groups being studied. By defining a batch container and a scoring function that reflects the contrasts, this package allows users to assign samples in a way that minimizes the potential impact of batch effects on the comparison of interest. Among other functionality, we provide an implementation for OSAT score by Yan et al. (2012, <doi:10.1186/1471-2164-13-689>).
Author: Iakov I. Davydov [aut, cre, cph] , Juliane Siebourg-Polster [aut, cph] , Guido Steiner [aut, cph], Konrad Rudolph [ctb] , Jitao David Zhang [aut, cph] , Balazs Banfai [aut, cph] , F. Hoffman-La Roche [cph, fnd]
Maintainer: Iakov I. Davydov <iakov.davydov@roche.com>

Diff between designit versions 0.5.0 dated 2024-03-21 and 0.5.1 dated 2026-09-03

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New package BUSfinancial with initial version 0.1.0
Package: BUSfinancial
Title: Economic Analysis of Islamic Commercial Bank Financial Time Series in Indonesia
Version: 0.1.0
Description: Provides simple economic indicators for analyzing financial position time series of Islamic Commercial Banks in Indonesia.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-08-24 00:43:03 UTC; HP
Author: Fadhlul Mubarak [aut, cre] , Vinny Yuliani Sundara [aut]
Maintainer: Fadhlul Mubarak <mubarakfadhlul@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 13:20:02 UTC

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New package wishartinference with initial version 0.1.0
Package: wishartinference
Title: Bayesian Inference for the Wishart Distribution Parameters
Version: 0.1.0
Description: Posterior inference for the shape parameter alpha and mean matrix mu in the model X_i ~ Wishart_p(2*alpha, Sigma), under both an improper prior and a proper Gamma/inverse-Wishart prior. The posterior mode is found via a Newton-within-EM algorithm and joint samples are drawn via rejection sampling.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo, BH
Suggests: testthat (>= 3.1.5)
NeedsCompilation: yes
Packaged: 2026-08-20 16:37:30 UTC; sunnyshi
Author: Philip Everson [aut], Hanqi Shi [aut, cre]
Maintainer: Hanqi Shi <hshi1@swarthmore.edu>
Repository: CRAN
Date/Publication: 2026-09-03 12:10:02 UTC

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New package SujathaDist with initial version 1.0.0
Package: SujathaDist
Title: Statistical Methods for the Sujatha Distribution
Version: 1.0.0
Maintainer: Hosenur Rahman Prodhani <hosenur72@gmail.com>
Description: Provides computational tools for the Sujatha distribution, including probability density, cumulative distribution, quantile function, random number generation, parameter estimation by maximum likelihood, goodness-of-fit procedures, and associated statistical methods for lifetime data analysis. The implemented methods are based on the Sujatha distribution proposed by Shanker (2016) <doi:10.59170/stattrans-2016-023>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
URL: https://github.com/hosenur72/SujathaDist
BugReports: https://github.com/hosenur72/SujathaDist/issues
NeedsCompilation: no
Packaged: 2026-08-23 16:53:13 UTC; hosen
Author: Hosenur Rahman Prodhani [aut, cre]
Repository: CRAN
Date/Publication: 2026-09-03 12:20:16 UTC

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New package statfidelity with initial version 0.1.0
Package: statfidelity
Title: Audit Statistical Fidelity of AI-Mediated Official Statistics
Version: 0.1.0
Description: Provides deterministic tools for auditing whether artificial intelligence systems preserve the numerical, semantic, contextual, temporal, geographic, unit, provenance, revision, transformation, and uncertainty properties of official statistics. Structured reference statistics and machine-generated claims can be compared with non-compensatory critical-error rules, weakest-link and geometric fidelity summaries, provenance graphs, and portable SHA-256 proof bundles. The package also provides bounded connectors for official Eurostat, World Bank, OECD, United Nations SDG, United Kingdom Office for National Statistics, and United States Bureau of Labor Statistics application programming interfaces, plus an extensible HTTPS JSON API registry with session-only API-key support. Prompt perturbation, statistical red-team generation, minimal-pair tests, and starter benchmark data support reproducible evaluation of generative, retrieval-augmented, and agentic statistical systems. An embedded alignm [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: digest, jsonlite, stats, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-20 16:38:12 UTC; marvian
Author: Hossein Hassani [aut], Steve MacFeely [aut], Leila Marvian Mashhad [aut, cre]
Maintainer: Leila Marvian Mashhad <leila.marveian@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 12:10:08 UTC

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New package SCCDdesign with initial version 0.1.0
Package: SCCDdesign
Title: Construction of Screening Designs for Mixed Level Continuous and Categorical Factors
Version: 0.1.0
Description: Provides functions for constructing screening designs for experiments involving three-level continuous and two-level categorical factors. The package implements three methods proposed by Jones, B., Lekivetz, R., Majumdar, D. and Nachtsheim, C. (2025) <doi:10.1080/00401706.2024.2362149> for generating efficient screening designs for even run sizes. It also includes functions for constructing conference matrices using Paley Type I and Type II constructions, as well as construction of pseudo conference matrices by coordinate exchange algorithm given by Jones, B. and Nachtsheim, C. J. (2011) <doi:10.1080/00224065.2011.11917841> which are used in the development of these screening designs.
License: GPL-3
Encoding: UTF-8
Imports: pracma, AlgDesign
NeedsCompilation: no
Packaged: 2026-08-13 16:47:20 UTC; VYSHNA
Author: Vyshna I C [aut, cre], Cini Varghese [aut, ctb], Safeela Nasrin [aut], Boyina Devi Priyanka [aut, ctb], Mohd Harun [aut, ctb], Anindita Datta [aut, ctb]
Maintainer: Vyshna I C <vyshnaic@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 12:20:22 UTC

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New package mlr3automl with initial version 0.1.0
Package: mlr3automl
Title: Automated Machine Learning for 'mlr3'
Version: 0.1.0
Description: Flexible automated machine learning (AutoML) system for the 'mlr3' ecosystem. Automatically selects a suitable machine learning algorithm and tunes its hyperparameters for a given task. Constructs preprocessing pipelines with multiple parallel branches using 'mlr3pipelines' and jointly optimizes them together with the learners using 'mlr3tuning'. The optimization is driven by asynchronous decentralized Bayesian optimization by Egele et al. (2023) <doi:10.1109/e-Science58273.2023.10254839>.
License: LGPL-3
URL: https://mlr3automl.mlr-org.com, https://github.com/mlr-org/mlr3automl
BugReports: https://github.com/mlr-org/mlr3automl/issues
Depends: mlr3 (>= 1.6.0), mlr3tuning (>= 1.6.0), R (>= 3.3.0), rush (>= 1.2.1)
Imports: bbotk (>= 1.7.1), checkmate, data.table, lhs, mlr3learners (>= 0.14.0), mlr3mbo (>= 1.2.0), mlr3misc (>= 0.15.1), mlr3pipelines, paradox (>= 1.0.1), R6, utils
Suggests: callr, e1071, fastai, glmnet, kknn, lgr, lightgbm, MASS, mirai, mlr3extralearners, mlr3torch (>= 0.3.3), mlr3viz, ranger, redux, reticulate, rpart, testthat (>= 3.0.0), torch, xgboost (>= 3.2.1.1)
Additional_repositories: https://mlr-org.r-universe.dev
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-08-20 09:05:18 UTC; marc
Author: Marc Becker [cre, aut, cph] , Damir Pulatov [aut], Baisu Zhou [aut], Lona Koers [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>
Repository: CRAN
Date/Publication: 2026-09-03 12:20:03 UTC

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New package later2 with initial version 0.1
Package: later2
Title: Utilities for Scheduling Functions to Execute Later with Event Loops
Version: 0.1
Description: Executes arbitrary R or C functions some time after the current time, after the R execution stack has emptied. The functions are scheduled in an event loop. This is a derived work from the 'later' package aiming to reduce the number of dependencies.
License: Apache License 2.0
URL: https://github.com/pachadotdev/later2
BugReports: https://github.com/pachadotdev/later2/issues
Depends: R (>= 3.5)
Suggests: tinytest, parallel, litedown
LinkingTo: cpp4r
Encoding: UTF-8
VignetteBuilder: litedown
NeedsCompilation: yes
Packaged: 2026-08-23 18:00:28 UTC; pacha
Author: Winston Chang [aut] , Joe Cheng [aut], Charlie Gao [aut] , Posit Software, PBC [aut, cph] , Marcus Geelnard [ctb, cph] , Evan Nemerson [ctb, cph] , Mauricio Vargas Sepulveda [aut, cre]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 12:50:02 UTC

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New package icons with initial version 1.0.0
Package: icons
Title: Easily Insert SVG Icons into R Outputs
Version: 1.0.0
Description: Provides tools to download, style, and insert scalable vector graphics (SVG) icons into R output, such as 'R Markdown' and 'Quarto' documents, 'Shiny' apps, 'gt' tables, and 'ggplot2' visualisations via the 'ggicons' package. Bundles popular icon libraries, such as 'Font Awesome' (<https://fontawesome.com>), 'Academicons' (<https://jpswalsh.github.io/academicons/>), and 'Material Design Icons' (<https://fonts.google.com/icons>), which are downloaded on demand to keep the package small, or build a custom icon set from any folder of local SVG files. Icon appearance, such as size, colour, and position, can be customised.
Depends: R (>= 3.1.3)
Imports: base64enc, knitr, rlang, htmltools, glue, rappdirs, xml2, stringr, jsonlite, cli, utils, vctrs
Suggests: rsvg, gh, rmarkdown, pillar, shiny, testthat (>= 3.0.0)
URL: https://pkg.mitchelloharawild.com/icons/, https://github.com/mitchelloharawild/icons
BugReports: https://github.com/mitchelloharawild/icons/issues
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-08-23 11:38:49 UTC; mitchell
Author: Mitchell O'Hara-Wild [aut, cre] , Earo Wang [ctb] , Timothy Hyndman [ctb] , Matthew Warkentin [ctb] , Tom Jemmett [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Repository: CRAN
Date/Publication: 2026-09-03 12:10:14 UTC

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New package graphvec with initial version 0.1.0
Package: graphvec
Version: 0.1.0
Title: Vectorised Graph Data Structures
Description: Extends vectors to include graph relationships between their elements, and offers tools to compute useful summaries of the graph structure for use in summarising, filtering, and otherwise manipulating the graph. Node identity is positional rather than value-based, so isolated nodes and repeated values are represented without special handling. Three complementary data structures are provided, each an ordinary vector that stays a column in a data frame and slices consistently with it: 'node_vec' is vectorised along the nodes of a graph, 'edge_vec' is vectorised along its edges, and 'agg_vec' (with the tabular 'agg_df') represents the aggregation structure common in data analysis, such as a total row over a set of categories. This makes graph relationships a native part of tidy rectangular data analysis workflows, alongside tools such as those in 'dplyr'. Each of these can also be converted to 'igraph' objects for further analysis.
License: MIT + file LICENSE
Imports: tibble
Suggests: crayon, dplyr, igraph, pillar, testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://pkg.mitchelloharawild.com/graphvec/, https://github.com/mitchelloharawild/graphvec
BugReports: https://github.com/mitchelloharawild/graphvec/issues
NeedsCompilation: no
Packaged: 2026-08-20 13:54:47 UTC; mitchell
Author: Mitchell O'Hara-Wild [aut, cre]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Repository: CRAN
Date/Publication: 2026-09-03 12:40:02 UTC

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New package Compositionalasmr with initial version 1.0
Package: Compositionalasmr
Title: The alpha-Spatial Median Regression for Compositional Data
Version: 1.0
Date: 2026-08-20
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Compositional, minpack.lm, parallel, rangen, Rfast, stats
Suggests: Rfast2
Description: The alpha-spatial median regression is performed via the iteretively reweighted least squares algorithm. At first the alpha-transformation of Tsagris, Preston and Wood (2011) <doi:10.48550/arXiv.1106.1451> is applied and then the non-linear regression model is fitted.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-08-20 09:12:36 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-09-03 12:20:27 UTC

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New package awkreader with initial version 0.1.0
Package: awkreader
Title: File Reading with Pre-Filtering, Pattern Searching, and Distributed Files
Version: 0.1.0
Description: Provides high-performance tools for out-of-core text processing and data ingestion by leveraging system 'AWK' utilities. Allows users to count records, filter rows, and compute streaming aggregations—such as group-by means, streaming medians, standard deviations, and correlations—directly on disk prior to reading data into R. By delegating line-by-line filtering and summarization to system-level 'AWK' commands and streaming results back through data.table::fread(), the package significantly reduces memory footprint and execution times when working with large individual files or multi-file directory structures.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: data.table
NeedsCompilation: no
Packaged: 2026-08-23 16:23:18 UTC; akshat
Author: David Shilane [aut], Akshat Maurya [aut, cre], Jason Livingston [aut], Chung-Woo Lee [aut], Mayur Bansal [aut], Srivastav Budugutta [aut]
Maintainer: Akshat Maurya <codingmaster902@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 12:20:11 UTC

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Package wrGraph updated to version 1.3.18 with previous version 1.3.17 dated 2026-07-29

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

Diff between wrGraph versions 1.3.17 dated 2026-07-29 and 1.3.18 dated 2026-09-03

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 MD5                            |   13 ++++++------
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 R/vioplotW.R                   |   33 ++++++++++++++++++------------
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 man/plotPCAw.Rd                |    9 ++++++++
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 8 files changed, 83 insertions(+), 54 deletions(-)

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Package seqwrap updated to version 0.8.1 with previous version 0.7.0 dated 2026-05-19

Title: Item-by-Item Iterative Model Fitting
Description: Models high-dimensional data, such as RNA-seq or proteomic data using an item-by-item strategy. The package contains functions to wrap high-dimensional data and iterate over them using established R packages for regression modelling (e.g., 'glmmTMB' or 'mgcv').
Author: Daniel Hammarstroem [aut, cre, cph] , Chidimma Echebiri [ctb]
Maintainer: Daniel Hammarstroem <daniel.hammarstrom@inn.no>

Diff between seqwrap versions 0.7.0 dated 2026-05-19 and 0.8.1 dated 2026-09-03

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 seqwrap-0.8.1/seqwrap/NAMESPACE                                           |   16 
 seqwrap-0.8.1/seqwrap/NEWS.md                                             |  254 ++
 seqwrap-0.8.1/seqwrap/R/data-helper.R                                     |    6 
 seqwrap-0.8.1/seqwrap/R/data.R                                            |    2 
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 seqwrap-0.8.1/seqwrap/R/seqwrap-global.R                                  |   12 
 seqwrap-0.8.1/seqwrap/R/seqwrap-priors.R                                  |only
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Package rMIDAS2 updated to version 0.2.0 with previous version 0.1.1 dated 2026-03-12

Title: Multiple Imputation with 'MIDAS2' Denoising Autoencoders
Description: Fits 'MIDAS' denoising autoencoder models for multiple imputation of missing data, generates multiply-imputed datasets, computes imputation means, and runs Rubin's rules regression analysis. Wraps the 'MIDAS2' 'Python' engine via a local 'FastAPI' server over 'HTTP', so no 'reticulate' dependency is needed at runtime. Methods are described in Lall and Robinson (2022) <doi:10.1017/pan.2020.49> and Lall and Robinson (2023) <doi:10.18637/jss.v107.i09>.
Author: Thomas Robinson [aut, cre], Ranjit Lall [aut]
Maintainer: Thomas Robinson <t.robinson7@lse.ac.uk>

Diff between rMIDAS2 versions 0.1.1 dated 2026-03-12 and 0.2.0 dated 2026-09-03

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New package PTLENKies with initial version 0.1.0
Package: PTLENKies
Title: Computation of PTLENKies Distribution Properties
Version: 0.1.0
Author: Mintode Nicodeme Atchade [aut], Theophile Otodji [aut, cre]
Maintainer: Theophile Otodji <otodjitheodule@gmail.com>
Description: Implements statistical tools for analyzing, simulating, and computing properties of the Power Topp Leone Exponential Negative Kies Burr (PTLENKBurr). See Atchadé M, Otodji T, and Djibril A (2024) <doi:10.1063/5.0179458> and Atchadé M, Otodji T, Djibril A, and N'bouké M (2023) <doi:10.1515/phys-2023-0151> for details.
Depends: R (>= 4.1.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Language: en
Imports: graphics, stats
NeedsCompilation: no
Packaged: 2026-08-04 08:54:43 UTC; Théophile OTODJI
Repository: CRAN
Date/Publication: 2026-09-03 11:50:47 UTC

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New package pcatR with initial version 1.0.1
Package: pcatR
Title: Analyze and Visualize Pragmatic Context Assessment Tool Data
Version: 1.0.1
Description: Provides a reproducible workflow for importing, validating, classifying, summarizing, visualizing, and reporting responses to the 14-item Pragmatic Context Assessment Tool (pCAT). The package preserves the instrument's two-part response structure, supports original and updated Consolidated Framework for Implementation Research (CFIR) mappings, describes team agreement and disagreement, compares repeated assessments, and creates implementation action-planning outputs. It does not calculate or claim a validated total pCAT scale score. The instrument is described by Robinson and Damschroder (2023) <doi:10.1186/s43058-022-00380-5>; updated CFIR mappings are from Domlyn et al. (2026) <doi:10.1186/s43058-026-00956-5>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), grDevices, grid, stats, utils
Suggests: covr, knitr, pkgdown, rmarkdown, shiny, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
URL: https://github.com/JaeManP/pcatR, https://jaemanp.github.io/pcatR/
BugReports: https://github.com/JaeManP/pcatR/issues
Packaged: 2026-08-21 23:25:50 UTC; runner
Author: Lilac Li [aut, cph] , Jae Man Park [cre, cph]
Maintainer: Jae Man Park <jaemanblp2@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 11:40:02 UTC

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New package normalblockr with initial version 0.2.1
Package: normalblockr
Title: Gaussian Graphical Models with Latent Clustering Structure
Version: 0.2.1
Description: Implements the Normal-Block model, a Gaussian graphical model with a latent clustering structure for the multivariate analysis of continuous data. The model clusters variables and, building on the graphical lasso, infers a network of statistical dependencies between clusters rather than between individual variables, for known or unknown clusterings, with an optional zero-inflation extension for data with an excess of exact zeros. See Tous & Chiquet (2026) <doi:10.1016/j.csda.2026.108347> for the model itself and its variational expectation-maximization estimation procedure.
License: GPL (>= 3)
URL: https://github.com/jchiquet/normalblockr
BugReports: https://github.com/jchiquet/normalblockr/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: glassoFast, Matrix, dplyr, tidyr, tibble, purrr, R6, ggplot2, igraph, sbm, corrplot, scales, MASS, stats, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), aricode, covr, Metrics, rmarkdown, pheatmap, paletteer, ggthemes, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-08-20 11:30:04 UTC; jchiquet
Author: Jeanne Tous [aut], Julien Chiquet [aut, cre]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>
Repository: CRAN
Date/Publication: 2026-09-03 12:00:02 UTC

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New package modMStates with initial version 0.0.1
Package: modMStates
Title: Simulation and Estimation of Continuous-Time Multi-State Markov Models for Panel Data
Version: 0.0.1
Description: A higher-level interface to continuous-time Markov multi-state models for panel (interval-censored) data. Seven canonical clinical process structures are supplied with structurally valid generator matrices, so that transition matrices and starting values need not be constructed by hand. Panel data can be simulated from exact trajectories under regular or irregular observation schedules, with optional exactly observed absorption times and optional Weibull holding times for assessing the Markov assumption. A single fitting call validates the input against the assumed structure and returns the estimated generator with confidence intervals, mean sojourn times, transition probability matrices and observed transition counts, together with the optimiser's convergence code. A Monte Carlo driver reports Monte Carlo standard errors alongside bias, root mean squared error and interval coverage. Likelihood evaluation is delegated to 'msm' (Jackson, 2011, <doi:10.18637/jss.v038.i08>); the pan [...truncated...]
License: GPL-3
Encoding: UTF-8
Language: en-GB
Depends: R (>= 3.5.0)
Imports: msm (>= 1.6), stats, utils
Suggests: testthat (>= 3.0.0), survival
URL: https://github.com/infinitebstats/modMStates
BugReports: https://github.com/infinitebstats/modMStates/issues
NeedsCompilation: no
Packaged: 2026-08-23 10:14:21 UTC; root
Author: Atanu Bhattacharjee [aut, cre, ctb], Akash Pawar [aut, ctb]
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 11:50:13 UTC

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New package magp with initial version 0.8.0
Package: magp
Title: Mapping-Based Additive Gaussian Process Models
Version: 0.8.0
Description: Fits mapping-based additive Gaussian process models for experiments in which each component has both a quantitative level and a position in an ordered sequence. Two model structures are available: a compact two-dimensional mapping and a full mapping with one fewer dimension than the number of components. Both models support parameter estimation, point prediction, and plug-in predictive uncertainty. Input checks validate the sequence data and apply consistent scaling to the quantitative inputs. Computationally intensive covariance and gradient calculations are implemented in C++ with 'Rcpp'. The model was introduced by Xiao et al. (2024) <doi:10.1080/01621459.2022.2123335>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp, nloptr, stats
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-08-22 03:51:29 UTC; skr
Author: Tony Wang [aut, cre, cph], Qian Xiao [aut, cph], Yaping Wang [cph], Abhyuday Mandal [cph], Xinwei Deng [cph]
Maintainer: Tony Wang <wangtony883@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 11:40:09 UTC

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Package llmjson updated to version 0.2.1 with previous version 0.1.0 dated 2026-03-11

Title: Repair Malformed JSON Strings
Description: Repairs malformed JSON strings, particularly those generated by Large Language Models. Handles missing quotes, trailing commas, unquoted keys, and other common JSON syntax errors.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between llmjson versions 0.1.0 dated 2026-03-11 and 0.2.1 dated 2026-09-03

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New package iop with initial version 0.1.0
Package: iop
Title: Inflated Ordered Probit and Logit Models
Version: 0.1.0
Description: Estimation, inference, and quantities of interest for ordered probit and ordered logit models whose outcome contains an inflated category: a single ordered category (bottom, middle, top, or any other) that mixes observations generated by the ordered process with observations generated by a distinct split-population process. Fits the zero-inflated ordered probit of Harris and Zhao (2007) <doi:10.1016/j.jeconom.2007.01.002> and its middle- and top-inflated extensions (Bagozzi and Mukherjee 2012 <doi:10.1093/pan/mps020>; Bagozzi, Hill, Moore and Mukherjee 2015 <doi:10.1177/0022002713520530>; Bagozzi, Joo and Mukherjee 2024 <doi:10.1093/fpa/orae006>), generalized to an arbitrary inflated category and to the logit link, with optional correlated errors for the probit form, plus the standard ordered probit and logit and their partial proportional-odds (non-parallel) variants on the same footing. Provides analytic, robust, and cluster-robust standard errors, survey weig [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: Rcpp, stats, graphics, methods, numDeriv, MASS
LinkingTo: Rcpp
Suggests: ordinal, VGAM, mvtnorm, pbivnorm, sandwich, DHARMa, testthat (>= 3.0.0), knitr, rmarkdown, broom, modelsummary, texreg, parallel, AER
VignetteBuilder: knitr
URL: https://github.com/bagozzib/iop, https://bagozzib.github.io/iop/
BugReports: https://github.com/bagozzib/iop/issues
NeedsCompilation: yes
Packaged: 2026-08-23 10:03:41 UTC; bagoz
Author: Benjamin E. Bagozzi [aut, cre]
Maintainer: Benjamin E. Bagozzi <bagozzib@udel.edu>
Repository: CRAN
Date/Publication: 2026-09-03 11:50:24 UTC

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Package heck updated to version 0.1.7 with previous version 0.1.5 dated 2025-04-17

Title: Highly Performant String Case Converter
Description: Provides a case conversion between common cases like CamelCase and snake_case. Using the 'rust crate heck' <https://github.com/withoutboats/heck> as the backend for a highly performant case conversion for 'R'.
Author: Josiah Parry [aut] , Dyfan Jones [cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between heck versions 0.1.5 dated 2025-04-17 and 0.1.7 dated 2026-09-03

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New package golosovRST with initial version 0.0.1
Package: golosovRST
Title: Golosov Relative Size Triangle Classification and Plotting
Version: 0.0.1
Description: Computes coordinates for the Golosov Relative Size Triangle (RST), classifies party-system observations into Golosov subtypes using polygon mapping and produces publication-ready Relative Size Triangle plots. Method reference: Golosov, G. V. (2011) "Party system classification: A methodological inquiry" <doi:10.1177/1354068810377189>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, rlang
Suggests: sf, testthat (>= 3.0.0), dplyr
NeedsCompilation: no
Packaged: 2026-08-17 09:22:10 UTC; 39333
Author: Federico Taddei [aut, cre]
Maintainer: Federico Taddei <federico.taddei@unimi.it>
Repository: CRAN
Date/Publication: 2026-09-03 11:50:37 UTC

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New package geolibre with initial version 0.2.0
Package: geolibre
Title: Interactive GIS with 'GeoLibre'
Version: 0.2.0
Description: Embeds the full 'GeoLibre' geographic information system in 'R Markdown', 'Quarto', 'Shiny', and the 'RStudio' Viewer. Create maps from 'GeoJSON' and 'sf' objects, markers, heatmaps, and tabular coordinates; add 'Cloud Optimized GeoTIFF', 'XYZ', 'WMS', 'WMTS', 'WFS', 'PMTiles', vector tile, '3D Tiles', and video sources; classify choropleths, arrange layers, and add legends, colorbars, and split-map comparisons. Control the camera, export standalone 'HTML', and read and write '.geolibre.json' project files. The underlying application is described in Wu (2026) <doi:10.5281/zenodo.20785400>.
License: MIT + file LICENSE
URL: https://r.geolibre.app, https://github.com/opengeos/geolibre-r, https://geolibre.app
BugReports: https://github.com/opengeos/geolibre-r/issues
Depends: R (>= 4.1.0)
Imports: htmlwidgets, jsonlite, utils
Suggests: sf, shiny, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-08-23 01:48:43 UTC; qiusheng
Author: Qiusheng Wu [aut, cre], Open Geospatial Solutions [cph]
Maintainer: Qiusheng Wu <giswqs@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 11:30:02 UTC

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Package gbif.range updated to version 1.9.2 with previous version 1.9.1 dated 2026-08-07

Title: Species Range Mapping from GBIF Using Ecoregion Constraints
Description: A user-friendly, end-to-end workflow to generate ecologically informed species range maps from sparse observations using environmental clustering and convex hulls. Serves as a standalone framework or complementary approach to Species Distribution Models (SDMs). By constraining estimated ranges within authoritative or custom ecoregion boundaries, the approach prevents spurious range over-prediction common in geometric hull methods. The package automates data acquisition via 'GBIF' synonym-aware, tiled downloads; curates records using 13 configurable filters; and supports multi-scale analysis by integrating global or user-provided spatial layers. Also includes disk-based batch processing for large-scale studies and built-in tools for cross-validation and expert-derived evaluations.
Author: Yohann Chauvier [cre, aut] , Oskar Hagen [aut] , Stefan Pinkert [aut] , Camille Albouy [aut] , Fabian Fopp [aut] , Philipp Brun [aut] , Patrice Descombes [aut] , Florian Altermatt [aut] , Loic Pellissier [aut] , Katalin Csillery [aut]
Maintainer: Yohann Chauvier <yohann.chauvier@wsl.ch>

Diff between gbif.range versions 1.9.1 dated 2026-08-07 and 1.9.2 dated 2026-09-03

 DESCRIPTION                   |   35 ++++-----
 MD5                           |   18 ++---
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 inst/doc/getting-started.Rmd  |    2 
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 10 files changed, 147 insertions(+), 129 deletions(-)

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New package essential8 with initial version 0.1.0
Package: essential8
Title: Reproducible Cardiovascular Health Metric Scoring
Version: 0.1.0
Description: Provides a reproducible R implementation of the American Heart Association Life's Essential 8 cardiovascular health scoring framework for complete adult records from people aged 20 years or older. Calculates the eight component scores and their unweighted composite score using the 2022 adult definition described by Lloyd-Jones et al. (2022) <doi:10.1161/CIR.0000000000001078>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://thatoneguy006.github.io/essential8/, https://github.com/thatoneguy006/essential8
BugReports: https://github.com/thatoneguy006/essential8/issues
NeedsCompilation: no
Packaged: 2026-08-23 01:51:46 UTC; Carso
Author: Carson Richardson [aut, cre, cph]
Maintainer: Carson Richardson <carson.richardson@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-03 11:20:09 UTC

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New package EpiLossR with initial version 0.1.0
Package: EpiLossR
Title: Economic Loss Estimation for Animal Disease Mortality and Morbidity
Version: 0.1.0
Date: 2026-08-01
Description: Provides standardized tools for estimating direct economic losses associated with mortality and morbidity in animal diseases. The package implements reproducible methods for calculating mortality- and morbidity-related losses using a common S3 object framework with methods for summarization, visualization, and data export. It is intended for veterinary epidemiologists, animal health economists, veterinarians, researchers, and students. The methods are informed by Rushton (2009, ISBN:9781845936934) and Bennett (2003, ISBN:9780851996224).
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
ByteCompile: true
Depends: R (>= 4.2.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/vinodhpmd/EpiLossR
BugReports: https://github.com/vinodhpmd/EpiLossR/issues
NeedsCompilation: no
Packaged: 2026-08-23 11:17:20 UTC; m
Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 12:00:22 UTC

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New package ccwr with initial version 0.0.2
Package: ccwr
Title: Clone-Censor-Weight Methods for Target Trial Emulation
Version: 0.0.2
Description: Provides methods for clone-censor-weight analyses that emulate target trials with grace-period treatment strategies using observational time-to-event data. Tools clone participants across strategies, apply strategy-specific artificial censoring, and estimate inverse probability of censoring weights using pooled logistic or Cox models, fit weighted outcome models, and obtain subject-level bootstrap confidence intervals by repeating the complete analysis. The methods are described by Maringe et al. (2020) <doi:10.1093/ije/dyaa057> and Gaber et al. (2024) <doi:10.1002/cam4.70461>.
License: MIT + file LICENSE
Copyright: See inst/COPYRIGHTS
URL: https://github.com/CausalInferenceLab/ccwr
BugReports: https://github.com/CausalInferenceLab/ccwr/issues
Encoding: UTF-8
Depends: R (>= 4.4.0)
Imports: dplyr, readr, survival, tibble, rlang, glue
Suggests: knitr, rmarkdown, testthat (>= 3.2.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-20 23:02:09 UTC; sanghopark
Author: Sang Ho Park [aut, cre], Youngrok Lee [aut], Jihyeon Baek [aut], Hye Won Yang [aut], Donghoon Jeong [aut]
Maintainer: Sang Ho Park <shstat1729@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 12:00:16 UTC

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New package biohttp with initial version 0.1.2
Package: biohttp
Title: Normalized HTTP Transport with Circuit Breaking and Caching
Version: 0.1.2
Description: Web service calls return a normalized result value instead of raising a condition, so a caller branches on data rather than on an error handler. Transport failure, a non-success status code, and an unreadable response body are reported as three distinct outcomes. Per-host circuit breaking, retry with a transient-failure predicate, optional throttling, redacted request headers, and a success-only cache come as defaults. Many questions to one source can be asked as a single batch, where only the entries the cache is missing reach the network. Service-specific knowledge is left to the client packages built on top. The circuit breaker is the pattern described in Nygard (2018, ISBN:9781680502398).
License: MIT + file LICENSE
URL: https://github.com/samuelbharti/biohttp, https://www.samuelbharti.com/biohttp/
BugReports: https://github.com/samuelbharti/biohttp/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0)
Imports: cachem, curl, httr2, jsonlite, rlang, tools
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), webfakes, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-23 03:19:46 UTC; Samuel
Author: Samuel Bharti [aut, cre, cph]
Maintainer: Samuel Bharti <samuelbharti.io@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 11:50:41 UTC

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New package biobouncer with initial version 0.1.4
Package: biobouncer
Title: Validate Biological Identifiers and Inputs
Version: 0.1.4
Description: Gene symbols, ontology terms, variant formats, and database accessions are validated through one small application programming interface (API), either offline against identifier patterns and bundled snapshots or live against a source web service. Results are designed to match those of the companion 'Python' package for the same inputs. Input order and length are preserved, and errors are reported explicitly rather than as a silent failure. Identifier patterns follow the registry and nomenclature described in Hoyt et al. (2022) <doi:10.1038/s41597-022-01807-3> and den Dunnen et al. (2016) <doi:10.1002/humu.22981>.
License: MIT + file LICENSE
URL: https://github.com/samuelbharti/biobouncer, https://www.samuelbharti.com/biobouncer/r/
BugReports: https://github.com/samuelbharti/biobouncer/issues
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: checkmate, cli, curl, jsonlite, tibble, tools, utils, yaml
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-22 22:09:12 UTC; Samuel
Author: Samuel Bharti [aut, cre, cph]
Maintainer: Samuel Bharti <samuelbharti.io@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 11:20:15 UTC

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Package smooth updated to version 4.5.1 with previous version 4.5.0 dated 2026-06-21

Title: Forecasting Using State Space Models
Description: Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting. The package includes ADAM (Svetunkov, 2023, <https://openforecast.org/adam/>), Exponential Smoothing (Hyndman et al., 2008, <doi:10.1007/978-3-540-71918-2>), SARIMA (Svetunkov & Boylan, 2019 <doi: 10.1080/00207543.2019.1600764>), Complex Exponential Smoothing (Svetunkov & Kourentzes, 2018, <doi:10.13140/RG.2.2.24986.29123>), Simple Moving Average (Svetunkov & Petropoulos, 2018 <doi:10.1080/00207543.2017.1380326>) and several simulation functions. It also allows dealing with intermittent demand based on the iETS framework (Svetunkov & Boylan, 2019, <doi:10.13140/RG.2.2.35897.06242>).
Author: Ivan Svetunkov [aut, cre]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>

Diff between smooth versions 4.5.0 dated 2026-06-21 and 4.5.1 dated 2026-09-03

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Package prevtoinc updated to version 0.12.1 with previous version 0.12.0 dated 2019-06-18

Title: Prevalence to Incidence Calculations for Point-Prevalence Studies in a Nosocomial Setting
Description: Functions to simulate point prevalence studies (PPSs) of healthcare-associated infections (HAIs) and to convert prevalence to incidence in steady state setups. Companion package to the preprint Willrich et al., From prevalence to incidence - a new approach in the hospital setting; <doi:10.1101/554725> , where methods are explained in detail.
Author: Niklas Willrich [aut, cre]
Maintainer: Niklas Willrich <WillrichN@rki.de>

Diff between prevtoinc versions 0.12.0 dated 2019-06-18 and 0.12.1 dated 2026-09-03

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Package tarpolyglot updated to version 0.2.1 with previous version 0.2.0 dated 2026-08-08

Title: Run Python, Julia, and Rust Inside 'targets' Pipeline Steps
Description: Adds target constructors that make it easy to use Python, Julia, and Rust inside a 'targets' pipeline using 'reticulate', 'JuliaCall', and 'rextendr'. Provides tar_target_py(), tar_target_jl(), and tar_target_rs() (with matching _raw() variants), each mirroring 'targets::tar_target()' and 'targets::tar_target_raw()'. Python and Julia steps run a script via a live interpreter with optional R pre- and post-scripts; Rust steps compile '#[extendr]' functions and call them from an R post-script. Results are returned either as converted R objects or as files written to disk (format = "file"). Dynamic branching, environment/version selection, a 'crew' controller for isolation, and the full set of tar_target_raw() arguments are supported.
Author: Pierre Solomon [aut, cre]
Maintainer: Pierre Solomon <pierre.solomon@laposte.net>

Diff between tarpolyglot versions 0.2.0 dated 2026-08-08 and 0.2.1 dated 2026-09-03

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Package s2 updated to version 1.1.12 with previous version 1.1.11 dated 2026-06-01

Title: Spherical Geometry Operators Using the S2 Geometry Library
Description: Provides R bindings for Google's s2 library for geometric calculations on the sphere. High-performance constructors and exporters provide high compatibility with existing spatial packages, transformers construct new geometries from existing geometries, predicates provide a means to select geometries based on spatial relationships, and accessors extract information about geometries.
Author: Dewey Dunnington [aut] , Edzer Pebesma [aut, cre] , Ege Rubak [aut], Jeroen Ooms [ctb] , Google, Inc. [cph]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between s2 versions 1.1.11 dated 2026-06-01 and 1.1.12 dated 2026-09-03

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Package RSQLite.toolkit updated to version 0.1.5 with previous version 0.1.4 dated 2026-09-02

Title: Load Data in SQLite from Tabular Files
Description: A lightweight wrapper around the 'RSQLite' package for streamlined loading of data from tabular files (i,e. delimited text files like Comma Separated Values and Tab Separated Values, Microsoft Excel, and Arrow Inter-process Communication files) in 'SQLite' databases. Includes helper functions for inspecting the structure of the input files, and some functions to simplify activities on the 'SQLite' tables.
Author: Ludovico G. Beretta [aut, cre, cph]
Maintainer: Ludovico G. Beretta <ludovicogiovanni.beretta@gmail.com>

Diff between RSQLite.toolkit versions 0.1.4 dated 2026-09-02 and 0.1.5 dated 2026-09-03

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Package marginaleffects updated to version 1.0.0 with previous version 0.32.0 dated 2026-02-14

Title: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests
Description: Compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and machine learning models in R. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference. Details can be found in Arel-Bundock, Greifer, and Heiss (2024) <doi:10.18637/jss.v111.i09>.
Author: Vincent Arel-Bundock [aut, cre, cph] , Noah Greifer [ctb] , Etienne Bacher [ctb] , Grant McDermott [ctb] , Andrew Heiss [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package ieegio updated to version 0.1.2 with previous version 0.1.0 dated 2026-05-31

Title: File IO for Intracranial Electroencephalography
Description: Integrated toolbox supporting common file formats used for intracranial Electroencephalography (iEEG) and deep-brain stimulation (DBS) study.
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package MN updated to version 1.2 with previous version 1.1 dated 2026-03-27

Title: Matrix Normal Distribution
Description: Density computation, random matrix generation, maximum likelihood estimation, and regression for the matrix normal distribution. References: Pocuca N., Gallaugher M. P., Clark K. M. & McNicholas P. D. (2019). Assessing and Visualizing Matrix Variate Normality. <doi:10.48550/arXiv.1910.02859> and the relevant wikipedia page.
Author: Michail Tsagris [aut, cre], Alzeley Omar [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package metrosp updated to version 1.2.1 with previous version 1.0.0 dated 2026-05-05

Title: São Paulo Metro Passenger Demand Data
Description: Provides passenger demand data for the São Paulo metro system, covering 2012 to 2026. Datasets include monthly passenger entries and transported counts by line, average weekday station entries, daily station entries, and spatial geometries for metro and commuter train lines and stations. The bundled datasets are a fixed snapshot, so analyses stay reproducible and examples run offline; more recent data is published separately as the upstream sources are updated.
Author: Vinicius Oike [aut, cre, cph]
Maintainer: Vinicius Oike <viniciusoike@gmail.com>

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Package locuszoomr updated to version 1.0.0 with previous version 0.3.10 dated 2026-07-19

Title: Gene Locus Plot with Gene Annotations
Description: Publication-ready regional gene locus plots similar to those produced by the web interface 'LocusZoom' <https://my.locuszoom.org>, but running locally in R. Genetic or genomic data with gene annotation tracks are plotted via R base graphics, 'ggplot2' or 'plotly', allowing flexibility and easy customisation including laying out multiple locus plots on the same page. It uses the 'LDlink' API <https://ldlink.nih.gov/?tab=apiaccess> to query linkage disequilibrium data from the 1000 Genomes Project and can overlay this on plots <doi:10.1093/bioadv/vbaf006>.
Author: Myles Lewis [aut, cre] , Tom Willis [ctb]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

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Package reticulate updated to version 1.47.0 with previous version 1.46.0 dated 2026-04-09

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Tomasz Kalinowski [aut, cre], Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] , Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package qgcomp updated to version 2.19.5 with previous version 2.18.10 dated 2026-03-24

Title: Quantile G-Computation
Description: G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. This approach estimates a regression line corresponding to the expected change in the outcome (on the link basis) given a simultaneous increase in the quantile-based category for all exposures. Works with continuous, binary, and right-censored time-to-event outcomes. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and Alexandra J. White (2019) A quantile-based g-computation approach to addressing the effects of exposure mixtures; <doi:10.1289/EHP5838>.
Author: Alexander Keil [aut, cre]
Maintainer: Alexander Keil <alex.keil@nih.gov>

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Package medfate updated to version 5.1.0 with previous version 5.0.0 dated 2026-05-06

Title: Mediterranean Forest Simulation
Description: Simulate Mediterranean forest functioning and dynamics using cohort-based description of vegetation [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>; De Caceres et al. (2021) <doi:10.1016/j.agrformet.2020.108233>].
Author: Miquel De Caceres [aut, cre, cph] , Nicolas Martin-StPaul [aut] , Victor Granda [aut] , Antoine Cabon [aut] , Arsene Druel [aut] , Julien Ruffault [aut] , Jordi Martinez-Vilalta [ctb] , Maurizio Mencuccini [ctb] , Francois Pimont [ctb] , Herve Cochar [...truncated...]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

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Package manymome updated to version 0.3.7 with previous version 0.3.6 dated 2026-06-08

Title: Mediation, Moderation and Moderated-Mediation After Model Fitting
Description: Computes indirect effects, conditional effects, and conditional indirect effects in a structural equation model or path model after model fitting, with no need to define any user parameters or label any paths in the model syntax, using the approach presented in Cheung and Cheung (2024) <doi:10.3758/s13428-023-02224-z>. Can also form bootstrap confidence intervals by doing bootstrapping only once and reusing the bootstrap estimates in all subsequent computations. Supports bootstrap confidence intervals for standardized (partially or completely) indirect effects, conditional effects, and conditional indirect effects as described in Cheung (2009) <doi:10.3758/BRM.41.2.425> and Cheung, Cheung, Lau, Hui, and Vong (2022) <doi:10.1037/hea0001188>. Model fitting can be done by structural equation modeling using lavaan() or regression using lm().
Author: Shu Fai Cheung [aut, cre] , Sing-Hang Cheung [aut] , Rong Wei Sun [ctb]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

Diff between manymome versions 0.3.6 dated 2026-06-08 and 0.3.7 dated 2026-09-03

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 vignettes/do_boot.Rmd                                                        |    4 
 vignettes/do_mc.Rmd                                                          |    8 
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 vignettes/manymome.Rmd                                                       |   70 
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 vignettes/med_lav.Rmd                                                        |   22 
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 vignettes/med_lm.Rmd                                                         |   30 
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 vignettes/mod_levels.Rmd                                                     |   26 
 vignettes/mome_lm.Rmd                                                        |   43 
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More information about manymome at CRAN
Permanent link

Package ggarrow updated to version 0.2.0 with previous version 0.1.1 dated 2025-09-14

Title: Arrows for 'ggplot2'
Description: A 'ggplot2' extension that adds specialised arrow geometry layers. It offers more arrow options than the standard 'grid' arrows that are built-in many line-based geom layers.
Author: Teun van den Brand [aut, cre]
Maintainer: Teun van den Brand <tahvdbrand@gmail.com>

Diff between ggarrow versions 0.1.1 dated 2025-09-14 and 0.2.0 dated 2026-09-03

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 ggarrow-0.2.0/ggarrow/DESCRIPTION                                                                |   12 
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 ggarrow-0.2.0/ggarrow/NAMESPACE                                                                  |    6 
 ggarrow-0.2.0/ggarrow/NEWS.md                                                                    |   16 
 ggarrow-0.2.0/ggarrow/R/annotate_arrow.R                                                         |   14 
 ggarrow-0.2.0/ggarrow/R/arrow_key.R                                                              |   11 
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 ggarrow-0.2.0/ggarrow/R/geom_arrow.R                                                             |   64 
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 ggarrow-0.2.0/ggarrow/R/properties.R                                                             |  308 ++-
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 ggarrow-0.2.0/ggarrow/R/theme_elements.R                                                         |  692 ++++----
 ggarrow-0.2.0/ggarrow/R/trig.R                                                                   |   28 
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 ggarrow-0.2.0/ggarrow/inst/doc/params.html                                                       |   19 
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 ggarrow-0.2.0/ggarrow/vignettes/ornaments.Rmd                                                    |   52 
 ggarrow-0.2.0/ggarrow/vignettes/params.Rmd                                                       |   45 
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More information about ggarrow at CRAN
Permanent link

Package chk updated to version 0.11.0 with previous version 0.10.0 dated 2025-01-24

Title: Check User-Supplied Function Arguments
Description: For developers to check user-supplied function arguments. It is designed to be simple, fast and customizable. Error messages follow the tidyverse style guide.
Author: Joe Thorley [aut, cre] , Kirill Mueller [aut] , Ayla Pearson [aut] , Florencia D'Andrea [ctb], Nadine Hussein [ctb] , Evan Amies-Galonski [ctb] , Stefano Mezzini [ctb] , Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

Diff between chk versions 0.10.0 dated 2025-01-24 and 0.11.0 dated 2026-09-03

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 man/chk_false.Rd                          |   33 +
 man/chk_file.Rd                           |    6 
 man/chk_flag.Rd                           |   33 +
 man/chk_function.Rd                       |   12 
 man/chk_gt.Rd                             |   10 
 man/chk_gte.Rd                            |   10 
 man/chk_identical.Rd                      |   12 
 man/chk_integer.Rd                        |   20 -
 man/chk_is.Rd                             |   13 
 man/chk_join.Rd                           |    9 
 man/chk_length.Rd                         |    4 
 man/chk_lgl.Rd                            |   33 +
 man/chk_list.Rd                           |   10 
 man/chk_logical.Rd                        |   30 -
 man/chk_lt.Rd                             |   10 
 man/chk_lte.Rd                            |   10 
 man/chk_matrix.Rd                         |   10 
 man/chk_missing.Rd                        |    6 
 man/chk_named.Rd                          |    4 
 man/chk_not_any_na.Rd                     |    9 
 man/chk_not_empty.Rd                      |    9 
 man/chk_not_missing.Rd                    |    6 
 man/chk_not_null.Rd                       |    4 
 man/chk_not_subset.Rd                     |   22 +
 man/chk_null.Rd                           |    4 
 man/chk_number.Rd                         |   29 +
 man/chk_numeric.Rd                        |   20 -
 man/chk_orderset.Rd                       |   24 +
 man/chk_r6_class.Rd                       |only
 man/chk_range.Rd                          |   12 
 man/chk_raw.Rd                            |   20 -
 man/chk_s3_class.Rd                       |   22 -
 man/chk_s3_class_strict.Rd                |only
 man/chk_s4_class.Rd                       |   13 
 man/chk_scalar.Rd                         |   25 -
 man/chk_setequal.Rd                       |   25 -
 man/chk_sorted.Rd                         |    2 
 man/chk_string.Rd                         |   23 -
 man/chk_subset.Rd                         |   23 -
 man/chk_superset.Rd                       |   10 
 man/chk_true.Rd                           |   33 +
 man/chk_tz.Rd                             |   23 -
 man/chk_unique.Rd                         |    9 
 man/chk_unused.Rd                         |    5 
 man/chk_used.Rd                           |    5 
 man/chk_valid_name.Rd                     |    4 
 man/chk_vector.Rd                         |   10 
 man/chk_whole_number.Rd                   |   23 +
 man/chk_whole_numeric.Rd                  |    6 
 man/chk_wnum.Rd                           |    6 
 man/chkor_vld.Rd                          |    8 
 man/deparse_backtick_chk.Rd               |    4 
 man/err.Rd                                |    8 
 man/generate_check_data.Rd                |only
 man/message_chk.Rd                        |   10 
 man/p.Rd                                  |   16 
 man/params.Rd                             |    4 
 tests/testthat.R                          |    8 
 tests/testthat/helper.R                   |only
 tests/testthat/test-aaa-deprecated.R      |   11 
 tests/testthat/test-cc.R                  |    2 
 tests/testthat/test-check-data.R          |  136 +++++++-
 tests/testthat/test-check-dim.R           |   18 -
 tests/testthat/test-check-dirs.R          |   10 
 tests/testthat/test-check-files.R         |   10 
 tests/testthat/test-check-key.R           |   11 
 tests/testthat/test-check-length.R        |    8 
 tests/testthat/test-check-names.R         |    4 
 tests/testthat/test-check-values.R        |  103 ++++--
 tests/testthat/test-chk-all-na.R          |only
 tests/testthat/test-chk-all.R             |   15 
 tests/testthat/test-chk-atomic.R          |    9 
 tests/testthat/test-chk-chr.R             |    5 
 tests/testthat/test-chk-class.R           |only
 tests/testthat/test-chk-complex-number.R  |   10 
 tests/testthat/test-chk-count.R           |   10 
 tests/testthat/test-chk-date-time.R       |   20 -
 tests/testthat/test-chk-date.R            |   10 
 tests/testthat/test-chk-environment.R     |    5 
 tests/testthat/test-chk-file.R            |   21 +
 tests/testthat/test-chk-identical.R       |    5 
 tests/testthat/test-chk-is.R              |   17 -
 tests/testthat/test-chk-join.R            |   60 ++-
 tests/testthat/test-chk-length.R          |   10 
 tests/testthat/test-chk-lgl.R             |   10 
 tests/testthat/test-chk-matrix.R          |    2 
 tests/testthat/test-chk-not-any-na.R      |   10 
 tests/testthat/test-chk-not-empty.R       |   10 
 tests/testthat/test-chk-not-missing.R     |    5 
 tests/testthat/test-chk-not-subset.R      |   10 
 tests/testthat/test-chk-null-or.R         |   40 ++
 tests/testthat/test-chk-null.R            |    5 
 tests/testthat/test-chk-number.R          |   10 
 tests/testthat/test-chk-orderset.R        |    5 
 tests/testthat/test-chk-r6-class.R        |only
 tests/testthat/test-chk-range.R           |   83 ++++
 tests/testthat/test-chk-raw.R             |    2 
 tests/testthat/test-chk-s3-class-strict.R |only
 tests/testthat/test-chk-s3-class.R        |only
 tests/testthat/test-chk-s4-class.R        |only
 tests/testthat/test-chk-setequal.R        |    5 
 tests/testthat/test-chk-string.R          |   15 
 tests/testthat/test-chk-subset.R          |   20 -
 tests/testthat/test-chk-true.R            |    5 
 tests/testthat/test-chk-type.R            |   70 +---
 tests/testthat/test-chk-unique.R          |   10 
 tests/testthat/test-chk-valid-name.R      |    5 
 tests/testthat/test-chk-vector.R          |    5 
 tests/testthat/test-chk-whole-number.R    |   20 -
 tests/testthat/test-chk-wnum.R            |    5 
 tests/testthat/test-chkor-vld.R           |   49 ++
 tests/testthat/test-chkor.R               |   20 -
 tests/testthat/test-err.R                 |  155 +++++++++
 tests/testthat/test-expect-chk-error.R    |    9 
 tests/testthat/test-generate-check-data.R |only
 tests/testthat/test-internal.R            |   22 +
 tests/testthat/test-p.R                   |   28 +
 tests/testthat/test-utils.R               |    9 
 vignettes/chk-families.Rmd                |   76 ++--
 vignettes/chk.Rmd                         |   10 
 261 files changed, 3294 insertions(+), 1522 deletions(-)

More information about chk at CRAN
Permanent link

Package arcgisutils updated to version 0.6.1 with previous version 0.6.0 dated 2026-07-10

Title: R-ArcGIS Bridge Utility Functions
Description: Developer oriented utility functions designed to be used as the building blocks of R packages that work with ArcGIS Location Services. It provides functionality for authorization, Esri JSON construction and parsing, as well as other utilities pertaining to geometry and Esri type conversions. To support 'ArcGIS Pro' users, authorization can be done via 'arcgisbinding'. Installation instructions for 'arcgisbinding' can be found at <https://developers.arcgis.com/r-bridge/installation/>.
Author: Josiah Parry [aut, cre] , Kenneth Vernon [ctb] , Martha Bass [ctb] , Eli Pousson [ctb] , Ryan Zomorrodi [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between arcgisutils versions 0.6.0 dated 2026-07-10 and 0.6.1 dated 2026-09-03

 DESCRIPTION                                |    8 
 MD5                                        |  108 ++---
 NEWS.md                                    |   40 +-
 R/arc-base-req.R                           |    2 
 R/esri-features-list.R                     |    4 
 R/esri-features-string.R                   |    4 
 R/esri-featureset-list.R                   |    4 
 R/esri-featureset-string.R                 |    4 
 R/extendr-wrappers.R                       |    6 
 R/feature-collection.R                     |    8 
 R/geoprocessing-class.R                    |    2 
 R/geoprocessing-types.R                    |    6 
 R/options.R                                |only
 R/portal-group-user-list.R                 |    3 
 R/search.R                                 |   30 -
 R/util-parse-esri-json.R                   |    2 
 R/utils-geometry.R                         |    4 
 R/utils-url.R                              |   11 
 cleanup                                    |only
 cleanup.win                                |only
 configure                                  |    2 
 man/arc_base_req.Rd                        |    4 
 man/arc_form_params.Rd                     |   12 
 man/arc_group.Rd                           |    4 
 man/arc_item.Rd                            |    4 
 man/arc_item_data.Rd                       |    4 
 man/arc_job_status.Rd                      |    6 
 man/arc_portal_resources.Rd                |    6 
 man/arc_portal_urls.Rd                     |    6 
 man/arc_portal_users.Rd                    |    6 
 man/arc_user.Rd                            |    4 
 man/detect_errors.Rd                       |    2 
 man/fetch_layer_metadata.Rd                |    2 
 man/gp_job.Rd                              |  193 +++++-----
 man/gp_job_from_url.Rd                     |    6 
 man/gp_params.Rd                           |    8 
 man/layer_json.Rd                          |    6 
 man/opts.Rd                                |only
 man/self.Rd                                |    8 
 man/utilities.Rd                           |    2 
 src/Makevars.in                            |   47 +-
 src/Makevars.win.in                        |   71 ++-
 src/entrypoint.c                           |    2 
 src/rust/Cargo.lock                        |  558 +++++++++++++++++++++--------
 src/rust/Cargo.toml                        |    3 
 src/rust/document.c                        |only
 src/rust/vendor-config.toml                |    5 
 src/rust/vendor.tar.xz                     |binary
 tests/testthat/test-arc-base-req.R         |    2 
 tests/testthat/test-arc_token.R            |    4 
 tests/testthat/test-date-column-order.R    |only
 tests/testthat/test-date-handling.R        |    2 
 tests/testthat/test-date-parsing.R         |    1 
 tests/testthat/test-empty-results.R        |   19 
 tests/testthat/test-fetch_layer_metadata.R |    1 
 tests/testthat/test-geoprocessing-types.R  |   12 
 tests/testthat/test-null-geometry.R        |    1 
 tools/config.R                             |   17 
 58 files changed, 786 insertions(+), 490 deletions(-)

More information about arcgisutils at CRAN
Permanent link


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