Thu, 10 Sep 2026

Package jsslintr updated to version 1.2.0 with previous version 1.1.0-2 dated 2026-07-29

Title: JSS 'LaTeX'/'BibTeX' Style Checker
Description: Lints 'LaTeX'/'BibTeX' manuscripts against the Journal of Statistical Software (JSS) style guide. Wraps the same 'Rust' rule engine used by the standalone 'jsslint' binary, the browser/'WASM' build, and the 'Python' binding, exposed to R via 'extendr'.
Author: Manuel Koller [aut, cre] , The authors of the vendored 'Rust' crates [cph]
Maintainer: Manuel Koller <kollerma@proton.me>

Diff between jsslintr versions 1.1.0-2 dated 2026-07-29 and 1.2.0 dated 2026-09-10

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Package DTRlearn2 updated to version 2.1 with previous version 1.1 dated 2020-04-22

Title: Statistical Learning Methods for Optimizing Dynamic Treatment Regimes
Description: We provide a comprehensive software to estimate general K-stage DTRs from SMARTs with Q-learning and a variety of outcome-weighted learning methods. Penalizations are allowed for variable selection and model regularization. With the outcome-weighted learning scheme, different loss functions - SVM hinge loss, SVM ramp loss, binomial deviance loss, and L2 loss - are adopted to solve the weighted classification problem at each stage; augmentation in the outcomes is allowed to improve efficiency. The estimated DTR can be easily applied to a new sample for individualized treatment recommendations or DTR evaluation.
Author: Yuan Chen [aut, cre], Ying Liu [aut], Tianchen Xu [ctb] , Donglin Zeng [ctb], Yuanjia Wang [ctb]
Maintainer: Yuan Chen <irene.yuan.chen@gmail.com>

Diff between DTRlearn2 versions 1.1 dated 2020-04-22 and 2.1 dated 2026-09-10

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Package haplo.stats updated to version 1.9.9.1 with previous version 1.9.8.7 dated 2026-04-25

Title: Statistical Analysis of Haplotypes with Traits and Covariates when Linkage Phase is Ambiguous
Description: Routines for the analysis of indirectly measured haplotypes. The statistical methods assume that all subjects are unrelated and that haplotypes are ambiguous (due to unknown linkage phase of the genetic markers). The main functions are: haplo.em(), haplo.glm(), haplo.score(), and haplo.power(); all of which have detailed examples in the vignette.
Author: Schaid Daniel [aut], Jason P. Sinnwell [aut, cre]
Maintainer: Jason P. Sinnwell <sinnwell.jason@mayo.edu>

Diff between haplo.stats versions 1.9.8.7 dated 2026-04-25 and 1.9.9.1 dated 2026-09-10

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Package CNVScope updated to version 3.7.7 with previous version 3.7.6 dated 2026-07-04

Title: A Versatile Toolkit for Copy Number Variation Relationship Data Analysis and Visualization
Description: Provides the ability to create interaction maps, discover CNV map domains (edges), gene annotate interactions, and create interactive visualizations of these CNV interaction maps.
Author: James Dalgleish [aut, cre] , Yonghong Wang [aut], Jack Zhu [aut], Paul Meltzer [aut, sad]
Maintainer: James Dalgleish <jamesdalg@gmail.com>

Diff between CNVScope versions 3.7.6 dated 2026-07-04 and 3.7.7 dated 2026-09-10

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More information about CNVScope at CRAN
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Package spmodel updated to version 0.14.0 with previous version 0.13.0 dated 2026-06-10

Title: Spatial Statistical Modeling and Prediction
Description: Fit, summarize, and predict for a variety of spatial statistical models applied to point-referenced and areal (lattice) data. Parameters are estimated using various methods. Additional modeling features include anisotropy, non-spatial random effects, partition factors, big data approaches, and more. Model-fit statistics are used to summarize, visualize, and compare models. Predictions at unobserved locations are readily obtainable. For additional details, see Dumelle et al. (2023) <doi:10.1371/journal.pone.0282524>.
Author: Michael Dumelle [aut, cre] , Matthew Heaton [ctb] , Matt Higham [aut] , Ryan A. Hill [ctb] , Michael Mahon [ctb] , Jay M. Ver Hoef [aut]
Maintainer: Michael Dumelle <Dumelle.Michael@epa.gov>

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Package ragnar updated to version 0.3.1 with previous version 0.3.0 dated 2026-01-23

Title: Retrieval-Augmented Generation (RAG) Workflows
Description: Provides tools for implementing Retrieval-Augmented Generation (RAG) workflows with Large Language Models (LLM). Includes functions for document processing, text chunking, embedding generation, storage management, and content retrieval. Supports various document types and embedding providers ('Ollama', 'OpenAI'), with 'DuckDB' as the default storage backend. Integrates with the 'ellmer' package to equip chat objects with retrieval capabilities. Designed to offer both sensible defaults and customization options with transparent access to intermediate outputs. For a review of retrieval-augmented generation methods, see Gao et al. (2023) "Retrieval-Augmented Generation for Large Language Models: A Survey" <doi:10.48550/arXiv.2312.10997>.
Author: Tomasz Kalinowski [aut, cre], Daniel Falbel [aut], Posit Software, PBC [cph, fnd]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package enderecobr updated to version 0.6.0 with previous version 0.5.0 dated 2026-01-10

Title: Padronizador de Endereços Brasileiros (Brazilian Addresses Standardizer)
Description: Padroniza endereços brasileiros a partir de diferentes critérios. Os métodos de padronização incluem apenas manipulações básicas de strings, não oferecendo suporte a correspondências probabilísticas entre strings. (Standardizes brazilian addresses using different criteria. Standardization methods include only basic string manipulation, not supporting probabilistic matches between strings.)
Author: Daniel Herszenhut [aut] , Rafael H. M. Pereira [aut, cre] , Gabriel Garcia de Almeida [aut] , Lucas Mation [aut]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

Diff between enderecobr versions 0.5.0 dated 2026-01-10 and 0.6.0 dated 2026-09-10

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Package clusterv updated to version 1.1.2 with previous version 1.1.1 dated 2025-05-14

Title: Assessment of Cluster Stability by Randomized Maps
Description: The reliability of clusters is estimated using random projections. A set of stability measures is provided to assess the reliability of the clusters discovered by a generic clustering algorithm. The stability measures are taylored to high dimensional data (e.g. DNA microarray data) (Valentini, G (2005), <doi:10.1093/bioinformatics/bti817>.
Author: Giorgio Valentini [aut], Jessica Gliozzo [cre]
Maintainer: Jessica Gliozzo <jessica.gliozzo@gmail.com>

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Package Rothermel readmission to version 1.4.1 with previous version 1.2 dated 2014-11-10

Title: Surface Fire Spread Model
Description: Implements the surface fire spread model of Rothermel (1972) <doi:10.2737/INT-RP-115> in R. Additional utilities support uncertainty propagation, selection among standard fuel models, optimization of fuel model parameters by genetic algorithms, and example datasets.
Author: Giorgio Vacchiano [aut, cre] , Davide Ascoli [ctb]
Maintainer: Giorgio Vacchiano <gvacchiano@gmail.com>

This is a re-admission after prior archival of version 1.2 dated 2014-11-10

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Package marble updated to version 0.0.4 with previous version 0.0.3 dated 2024-04-04

Title: Robust Marginal Bayesian Variable Selection for Gene-Environment Interactions
Description: Recently, multiple marginal variable selection methods have been developed and shown to be effective in Gene-Environment interactions studies. We propose a novel marginal Bayesian variable selection method for Gene-Environment interactions studies. In particular, our marginal Bayesian method is robust to data contamination and outliers in the outcome variables. With the incorporation of spike-and-slab priors, we have implemented the Gibbs sampler based on Markov Chain Monte Carlo. The core algorithms of the package have been developed in 'C++'.
Author: Xi Lu [aut, cre], Cen Wu [aut]
Maintainer: Xi Lu <xilu0521@gmail.com>

Diff between marble versions 0.0.3 dated 2024-04-04 and 0.0.4 dated 2026-09-10

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Package geostatsp updated to version 2.2.0 with previous version 2.0.10 dated 2026-02-26

Title: Geostatistical Modelling with Likelihood and Bayes
Description: Geostatistical modelling facilities using 'SpatRaster' and 'SpatVector' objects are provided. Non-Gaussian models are fit using 'INLA', and Gaussian geostatistical models use Maximum Likelihood Estimation. For details see Brown (2015) <doi:10.18637/jss.v063.i12>. The 'RandomFields' package is available at <https://web.archive.org/web/20250719184025/https://www.wim.uni-mannheim.de/schlather/publications/software> and <https://github.com/cran/RandomFields>.
Author: Patrick Brown [aut, cre, cph]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

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Package Bayenet updated to version 0.4 with previous version 0.3 dated 2025-03-19

Title: Robust Bayesian Elastic Net
Description: As heavy-tailed error distribution and outliers in the response variable widely exist, models which are robust to data contamination are highly demanded. Here, we develop a novel robust Bayesian variable selection method with elastic net penalty. In particular, the spike-and-slab priors have been incorporated to impose sparsity. An efficient Gibbs sampler has been developed to facilitate computation.The core modules of the package have been developed in 'C++' and R.
Author: Xi Lu [aut, cre], Cen Wu [aut]
Maintainer: Xi Lu <xilu0521@gmail.com>

Diff between Bayenet versions 0.3 dated 2025-03-19 and 0.4 dated 2026-09-10

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 2 files changed, 7 insertions(+), 7 deletions(-)

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Package tidylda updated to version 0.1.1 with previous version 0.1.0 dated 2026-08-28

Title: Latent Dirichlet Allocation Using 'tidyverse' Conventions
Description: Implements an algorithm for Latent Dirichlet Allocation (LDA), Blei et al. (2003) <https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf>, using style conventions from the 'tidyverse', Wickham et al. (2019)<doi:10.21105/joss.01686>, and 'tidymodels', Kuhn et al.<https://tidymodels.github.io/model-implementation-principles/>. Fitting is done via 'warpLDA', a Metropolis-Hastings sampler, Chen et al. (2016) <doi:10.48550/arXiv.1510.08628>. Also implements several novel features for LDA such as guided models and transfer learning.
Author: Tommy Jones [aut, cre] , Brendan Knapp [ctb] , Barum Park [ctb]
Maintainer: Tommy Jones <jones.thos.w@gmail.com>

Diff between tidylda versions 0.1.0 dated 2026-08-28 and 0.1.1 dated 2026-09-10

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Package rextor updated to version 1.2.0 with previous version 1.1.0 dated 2026-05-21

Title: Prepare 'WEXTOR' Data
Description: Facilitate data preparation for data collected on 'WEXTOR' <https://wextor.eu>, created by Reips and Neuhaus (2002) <doi:10.3758/bf03195449>. Perform plausibility and other checks and make use of cool color palettes and themes for data visualization.
Author: Annika Tave Overlander [aut, cre] , Ulf-Dietrich Reips [ths, cph]
Maintainer: Annika Tave Overlander <annika-tave.overlander@uni.kn>

Diff between rextor versions 1.1.0 dated 2026-05-21 and 1.2.0 dated 2026-09-10

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New package mathr with initial version 0.1.3
Package: mathr
Version: 0.1.3
Title: Scientific Computation Using R
Description: A collection of undergraduate level mathematical routines for quantitative work, covering calculus, distribution functions, random variate generation, linear algebra, differential equations and optimization, sized for one semester.
Depends: R (>= 3.0.0)
Copyright: 2018-2026, Kyun-Seop Bae
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
URL: https://github.com/ksbae/mathr
BugReports: https://github.com/ksbae/mathr/issues
Packaged: 2026-08-31 05:38:17 UTC; Kyun-SeopBae
Author: Kyun-Seop Bae [aut, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>
Repository: CRAN
Date/Publication: 2026-09-10 15:10:02 UTC

More information about mathr at CRAN
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New package intraclass with initial version 0.1.0
Package: intraclass
Title: Modern Intraclass Correlation Coefficients
Version: 0.1.0
Description: Estimates interrater-reliability intraclass correlation coefficients (ICCs) within the generalizability-theory framework using modern variance-component estimation (linear mixed models) rather than the classical analysis-of-variance mean-squares approach. Provides the full ICC family (absolute agreement versus consistency, single versus average, fixed versus random raters, one-way versus two-way) with boundary-aware Monte-Carlo confidence intervals, support for imbalanced, incomplete, and multilevel (nested) designs, decision-study projection to other numbers of raters, and an interactive helper for choosing the correct coefficient. Multilevel methods follow ten Hove, Jorgensen and van der Ark (2022) <doi:10.1037/met0000391>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, generics, glmmTMB, lifecycle, rlang, stats, tibble
Suggests: brms, coda, covr, ggplot2, irr, irrICC, knitr, lavaan, lme4, merDeriv, posterior, psych, rmarkdown, spelling, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/jmgirard/intraclass, https://jmgirard.github.io/intraclass/
BugReports: https://github.com/jmgirard/intraclass/issues
Depends: R (>= 4.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-31 01:00:17 UTC; jmgirard
Author: Jeffrey Girard [aut, cre]
Maintainer: Jeffrey Girard <me@jmgirard.com>
Repository: CRAN
Date/Publication: 2026-09-10 15:10:10 UTC

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Package hours2lessons updated to version 1.0.0 with previous version 0.1.5 dated 2026-09-05

Title: Alocă Pe Ore Lecțiile Zilei
Description: Lecțiile prof/cls trebuie completate cu un câmp "ora", astfel ca oricare două lecții prof/cls/ora să nu se suprapună într-o aceeași oră. The prof/cls lessons must be completed with a "hour" field ('ora), so that any two prof/cls/ora lessons do not overlap in the same hour. <https://vlad.bazon.net/>.
Author: Vlad Bazon [aut, cre]
Maintainer: Vlad Bazon <vlad.bazon@gmail.com>

Diff between hours2lessons versions 0.1.5 dated 2026-09-05 and 1.0.0 dated 2026-09-10

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New package icebergr with initial version 0.1.0
Package: icebergr
Title: Read and Write 'Apache Iceberg' Tables
Version: 0.1.0
Description: A native client for 'Apache Iceberg', the open table format used by 'Snowflake', 'Databricks', 'BigQuery', 'AWS' and 'Dremio'. R has otherwise been able to read 'Iceberg' tables only by routing through 'DuckDB' as an intermediary, which rules out writes, snapshot management and catalog integration. This package talks to 'Iceberg' directly: it connects to REST and 'AWS Glue' catalogs, lists namespaces and tables, reads the schema and partition specification of a table, scans data with predicates and projections pushed down, travels back through snapshot history, and appends new data. 'Apache Arrow' is the interchange layer throughout, so scan results arrive in R without a serialisation round trip. Built on 'iceberg-rust', the Apache-governed 'Rust' implementation, via 'extendr'. Supports table spec versions 1 and 2; see the 'README' for the full matrix of supported and unsupported features. This is a community package, not affiliated with or endorsed by The Apache Software Foundation; ' [...truncated...]
License: GPL (>= 3)
URL: https://github.com/PursuitOfDataScience/icebergr
BugReports: https://github.com/PursuitOfDataScience/icebergr/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.2)
Imports: nanoarrow (>= 0.4.0), rlang (>= 1.1.0), tibble
Suggests: bit64, dplyr, knitr, rmarkdown, testthat (>= 3.1.7), vctrs, withr (>= 2.3.0)
VignetteBuilder: knitr
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.92, xz
NeedsCompilation: yes
Packaged: 2026-08-28 19:12:45 UTC; youzhi
Author: Youzhi Yu [aut, cre], The Apache Software Foundation [cph]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>
Repository: CRAN
Date/Publication: 2026-09-10 15:30:16 UTC

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Package GetTDData updated to version 1.7.1 with previous version 1.7.0 dated 2026-08-29

Title: Get Data for Brazilian Bonds (Tesouro Direto)
Description: Downloads and aggregates data for Brazilian government issued bonds directly from the website of Tesouro Direto <https://www.tesourodireto.com.br/>.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

Diff between GetTDData versions 1.7.0 dated 2026-08-29 and 1.7.1 dated 2026-09-10

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Package wordvector updated to version 0.6.4 with previous version 0.6.3 dated 2026-07-28

Title: Word and Document Vector Models
Description: Create dense vector representation of words and documents using 'quanteda'. Implements Word2vec (Mikolov et al., 2013) <doi:10.48550/arXiv.1310.4546>, Doc2vec (Le & Mikolov, 2014) <doi:10.48550/arXiv.1405.4053> and Latent Semantic Analysis (Deerwester et al., 1990) <doi:10.1002/(SICI)1097-4571(199009)41:6%3C391::AID-ASI1%3E3.0.CO;2-9>.
Author: Kohei Watanabe [aut, cre, cph] , Jan Wijffels [aut] , BNOSAC [cph] , Max Fomichev [ctb, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

Diff between wordvector versions 0.6.3 dated 2026-07-28 and 0.6.4 dated 2026-09-10

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New package tvbounds with initial version 0.1.1
Package: tvbounds
Title: Sensitivity Analysis and Bounds under Total Variation Neighborhoods
Version: 0.1.1
Description: Implements the sensitivity analysis framework of Palomba (2026) "Sensitivity Analysis in Population Shares" <https://filippopalomba.github.io/#jmp> for randomized experiments with attrition, counterfactuals in structural models, and recentered instrumental variables. Computes and plots sensitivity bounds together with their confidence intervals and robustness summary measures.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), stats, utils, withr
Suggests: JuliaCall, testthat (>= 3.1.5), knitr, rmarkdown
SystemRequirements: For tvbounds_counterfactual(): Julia (>= 1.9) and the Artelys KNITRO solver with a valid license.
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-30 17:10:06 UTC; fpalomba
Author: Filippo Palomba [aut, cre, cph]
Maintainer: Filippo Palomba <fpalomba@princeton.edu>
Repository: CRAN
Date/Publication: 2026-09-10 14:20:02 UTC

More information about tvbounds at CRAN
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Package stratifyR updated to version 2.0-1 with previous version 1.0-5 dated 2026-06-23

Title: Optimal Stratification of Univariate Populations
Description: Determines Optimum Strata Boundaries (OSB) and Optimum Sample Sizes (OSS) for univariate stratified sampling designs under Neyman allocation. The stratification variable is described by a best-fitting parametric distribution, selected automatically by AIC from a set of continuous families (normal, log-normal, gamma, Weibull, exponential, Cauchy, uniform, Pareto, triangular and right-triangular), and the optimum boundaries are obtained by minimising the Neyman objective. Version 2.0 keeps the original globally optimal Dynamic Programming (DP) solver of Reddy and Khan (2020) as the default and adds two faster derivative-free alternatives for interactive and large-scale use: a multi-start 'COBYLA' solver and a two-phase 'global' solver that couples 'DIRECT-L' with 'COBYLA' refinement. It also provides cost-constrained allocation with unequal per-stratum costs, a design-efficiency comparison (compare_designs), two- and three-dimensional and interactive visualisations, solution-quality di [...truncated...]
Author: Karuna G. Reddy [aut, cre], M. G. M. Khan [aut]
Maintainer: Karuna G. Reddy <karuna.reddy@auckland.ac.nz>

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Package shadowVIMP updated to version 1.0.3 with previous version 1.0.2 dated 2025-06-19

Title: Covariate Selection Based on VIMP Permutation-Like Testing
Description: A statistical method for reducing the number of covariates in an analysis by evaluating Variable Importance Measures (VIMPs) derived from the Random Forest algorithm. It performs statistical tests on the VIMPs and outputs whether the covariate is significant along with the p-values.
Author: Tim Mueller [aut, cre], Oktawia Miluch [aut], Staburo GmbH [cph, fnd]
Maintainer: Tim Mueller <mueller@staburo.de>

Diff between shadowVIMP versions 1.0.2 dated 2025-06-19 and 1.0.3 dated 2026-09-10

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Package sentopics updated to version 1.0.1 with previous version 1.0.0 dated 2026-08-21

Title: Tools for Joint Sentiment and Topic Analysis of Textual Data
Description: A framework that joins topic modeling and sentiment analysis of textual data. The package implements a fast Gibbs sampling estimation of Latent Dirichlet Allocation (Griffiths and Steyvers (2004) <doi:10.1073/pnas.0307752101>) and Joint Sentiment/Topic Model (Lin, He, Everson and Ruger (2012) <doi:10.1109/TKDE.2011.48>). It offers a variety of helpers and visualizations to analyze the result of topic modeling. The framework also allows enriching topic models with dates and externally computed sentiment measures. A flexible aggregation scheme enables the creation of time series of sentiment or topical proportions from the enriched topic models. Moreover, a novel method jointly aggregates topic proportions and sentiment measures to derive time series of topical sentiment.
Author: Olivier Delmarcelle [aut, cre] , Samuel Borms [ctb] , Chenghua Lin [cph] , Yulan He [cph] , Jose Bernardo [cph] , David Robinson [cph] ), Julia Silge [cph] , ORCID: <https://orcid.org/0000-0002-3671-836X>)
Maintainer: Olivier Delmarcelle <delmarcelle.olivier@gmail.com>

Diff between sentopics versions 1.0.0 dated 2026-08-21 and 1.0.1 dated 2026-09-10

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Package mosclust updated to version 1.0.3 with previous version 1.0.2 dated 2025-05-27

Title: Model Order Selection for Clustering
Description: Stability based methods for model order selection in clustering problems (Valentini, G (2007), <doi:10.1093/bioinformatics/btl600>). Using multiple perturbations of the data the stability of clustering solutions is assessed. Different perturbations may be used: resampling techniques, random projections and noise injection. Stability measures for the estimate of clustering solutions and statistical tests to assess their significance are provided.
Author: Giorgio Valentini [aut], Jessica Gliozzo [cre]
Maintainer: Jessica Gliozzo <jessica.gliozzo@gmail.com>

Diff between mosclust versions 1.0.2 dated 2025-05-27 and 1.0.3 dated 2026-09-10

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Package LABTNSCPSS updated to version 1.0.4 with previous version 1.0.3 dated 2026-09-05

Title: Calculation of Comorbidity and Frailty Scores
Description: Computes comorbidity indices and combined frailty scores for multiple ICD coding systems, including ICD-10-CA, ICD-10-CM, and ICD-11. The package provides tools to preprocess episode data, map diagnosis codes to chronic categories, propagate conditions across episodes, and generate comorbidity and frailty measures. The methods implemented are original to this package and were developed by the authors for research applications; a manuscript describing the methodology is currently in preparation.
Author: Azadeh Bayani [aut, cre] , Jean Noel Nikiema [ctb], Michele Bally [ctb]
Maintainer: Azadeh Bayani <azadeh.bayani@umontreal.ca>

Diff between LABTNSCPSS versions 1.0.3 dated 2026-09-05 and 1.0.4 dated 2026-09-10

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Package GenHMM1d updated to version 0.2.8 with previous version 0.2.6 dated 2025-09-07

Title: Goodness-of-Fit for Zero-Inflated Univariate Hidden Markov Models
Description: Inference, goodness-of-fit tests, and predictions for continuous and discrete univariate Hidden Markov Models (HMM), including zero-inflated distributions. The goodness-of-fit test is based on a Cramer-von Mises statistic and uses parametric bootstrap to estimate the p-value. The description of the methodology is taken from Nasri et al (2020) <doi:10.1029/2019WR025122>.
Author: Bouchra R. Nasri [aut, cre, cph], Mamadou Yamar Thioub [aut, cph], Bruno N. Remillard [aut, cph]
Maintainer: Bouchra R. Nasri <bouchra.nasri@umontreal.ca>

Diff between GenHMM1d versions 0.2.6 dated 2025-09-07 and 0.2.8 dated 2026-09-10

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Package GADAG updated to version 0.99.1 with previous version 0.99.0 dated 2017-04-11

Title: A Genetic Algorithm for Learning Directed Acyclic Graphs
Description: Learns sparse large Directed Acyclic Graphs with a combination of a convex program and a tailored genetic algorithm.
Author: Magali Champion [aut, cre], Victor Picheny [aut], Matthieu Vignes [aut]
Maintainer: Magali Champion <magali.champion@u-paris.fr>

Diff between GADAG versions 0.99.0 dated 2017-04-11 and 0.99.1 dated 2026-09-10

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Package flextable updated to version 0.10.1 with previous version 0.10.0 dated 2026-07-07

Title: Functions for Tabular Reporting
Description: Use a grammar for creating and customizing pretty tables. The following formats are supported: 'HTML', 'PDF', 'Typst', 'RTF', 'Microsoft Word', 'Microsoft PowerPoint', R 'Grid Graphics' and 'patchwork'. 'R Markdown', 'Quarto' and the package 'officer' can be used to produce the result files. The syntax is the same for the user regardless of the type of output to be produced. A set of functions allows the creation, definition of cell arrangement, addition of headers or footers, formatting and definition of cell content with text and or images. The package also offers a set of high-level functions that allow tabular reporting of statistical models and the creation of complex cross tabulations.
Author: David Gohel [aut, cre], ArData [cph], Clementine Jager [ctb], Eli Daniels [ctb], Panagiotis Skintzos [aut], Quentin Fazilleau [ctb], Maxim Nazarov [ctb], Titouan Robert [ctb], Michael Barrowman [ctb], Atsushi Yasumoto [ctb], Paul Julian [ctb], Sean B [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between flextable versions 0.10.0 dated 2026-07-07 and 0.10.1 dated 2026-09-10

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New package exnexSurv with initial version 1.3.0
Package: exnexSurv
Title: Bayesian EXNEX Models for Survival Analysis in Basket Trials
Version: 1.3.0
Description: Implements the Bayesian Exchangeable Non-Exchangeable (EXNEX) framework for right-censored log-normal survival data in basket trials. Based on 'Rcpp' and 'RcppArmadillo', the package provides a fast Gibbs sampler supporting EXNEX, complete pooling, and no pooling models to facilitate methodological comparisons and simulation studies.
License: MIT + file LICENSE
URL: https://github.com/victorney/exnexSurv, https://victorney.github.io/exnexSurv/
BugReports: https://github.com/victorney/exnexSurv/issues
Imports: Rcpp (>= 1.1.1), hardhat (>= 1.4.0), checkmate (>= 2.1.0)
Suggests: testthat (>= 3.3.0), survival (>= 3.8), knitr, rmarkdown, ggplot2, bayesplot, viridisLite
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-08-30 15:53:41 UTC; victo
Author: Victor Ney [aut, cre]
Maintainer: Victor Ney <victorney@ime.usp.br>
Repository: CRAN
Date/Publication: 2026-09-10 14:20:15 UTC

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New package co2e with initial version 0.1.0
Package: co2e
Title: Global Warming Potential Lookups and CO2-Equivalent Conversion
Version: 0.1.0
Description: Provides curated Global Warming Potential (GWP) values from IPCC Assessment Reports 4 through 6, gas name standardization across documented naming variants (IUPAC/common names, per-report naming changes, and EPA/data.gov naming), and CO2-equivalent conversion utilities. Values are drawn from official IPCC source tables, with corrections applied for two substances where the published table is known to contain errors; see the package vignette for details and source-by-source provenance notes.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tibble, stringr
Suggests: tidyr, readr, testthat (>= 3.0.0), knitr, rmarkdown, spelling
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/joewcorra/co2e
BugReports: https://github.com/joewcorra/co2e/issues
NeedsCompilation: no
Packaged: 2026-08-30 16:21:11 UTC; joewc
Author: Joe Corra [aut, cre, cph]
Maintainer: Joe Corra <Joewcorra@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 14:10:02 UTC

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Package liver updated to version 1.30 with previous version 1.29 dated 2026-05-04

Title: Toolkit and Datasets for Data Science
Description: Provides a collection of helper functions and illustrative datasets to support learning and teaching of data science with R. The package is designed as a companion to the book <https://book-data-science-r.netlify.app>, making key data science techniques accessible to individuals with minimal coding experience. Functions include tools for data partitioning, performance evaluation, and data transformations (e.g., z-score and min-max scaling). The included datasets are curated to highlight practical applications in data exploration, modeling, and multivariate analysis. An early inspiration for the package came from an ancient Persian idiom about "eating the liver", symbolizing deep and immersive engagement with knowledge.
Author: Reza Mohammadi [aut, cre] , Jeroen van Raak [aut] , Kevin Burke [aut]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

Diff between liver versions 1.29 dated 2026-05-04 and 1.30 dated 2026-09-10

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Package immunaut updated to version 1.0.3 with previous version 1.0.2 dated 2025-04-09

Title: Machine Learning Immunogenicity and Vaccine Response Analysis
Description: Used for analyzing immune responses and predicting vaccine efficacy using machine learning and advanced data processing techniques. 'Immunaut' integrates both unsupervised and supervised learning methods, managing outliers and capturing immune response variability. It performs multiple rounds of predictive model testing to identify robust immunogenicity signatures that can predict vaccine responsiveness. The platform is designed to handle high-dimensional immune data, enabling researchers to uncover immune predictors and refine personalized vaccination strategies across diverse populations.
Author: Ivan Tomic [aut, cre, cph] , Adriana Tomic [aut, ctb, cph, fnd] , Stephanie Hao [aut]
Maintainer: Ivan Tomic <info@ivantomic.com>

Diff between immunaut versions 1.0.2 dated 2025-04-09 and 1.0.3 dated 2026-09-10

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New package epkde with initial version 0.1.0
Package: epkde
Title: Bayesian Bandwidth Selection for Multivariate KDE via Expectation Propagation
Version: 0.1.0
Author: Maurizio Filippone [aut, cre]
Maintainer: Maurizio Filippone <maurizio.filippone@kaust.edu.sa>
Description: Implements the approximate Bayesian method for bandwidth selection in multivariate kernel density estimation (KDE) proposed in Filippone & Sanguinetti (2011) <doi:10.1016/j.csda.2011.05.023>. The method uses the Expectation Propagation (EP) algorithm to approximate the posterior distribution of the inverse bandwidth (precision matrix) under a leave-one-out cross-validated likelihood. Three covariance structures are supported: isotropic (scalar precision), diagonal, and full precision matrix. Online Bayesian updating is supported for the isotropic case. The approximate posterior can be used for bandwidth selection, model comparison (via the model evidence / Bayes factor), and online learning.
Depends: R (>= 4.0.0)
License: GPL-3
Encoding: UTF-8
Imports:
Suggests: ks, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/mauriziofilippone/epkde
BugReports: https://github.com/mauriziofilippone/epkde/issues
NeedsCompilation: no
Packaged: 2026-08-30 09:29:08 UTC; filippm
Repository: CRAN
Date/Publication: 2026-09-10 13:10:08 UTC

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Package CompositionalRF updated to version 1.7 with previous version 1.6 dated 2026-02-28

Title: Multivariate Random Forest with Compositional Responses
Description: Multivariate random forests with compositional responses and Euclidean predictors is performed. The compositional data are first transformed using the additive log-ratio transformation, or the alpha-transformation of Tsagris, Preston and Wood (2011), <doi:10.48550/arXiv.1106.1451>, and then the multivariate random forest of Rahman R., Otridge J. and Pal R. (2017), <doi:10.1093/bioinformatics/btw765>, is applied.
Author: Michail Tsagris [aut, cre], Christos Adam [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between CompositionalRF versions 1.6 dated 2026-02-28 and 1.7 dated 2026-09-10

 DESCRIPTION                    |    8 ++++----
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Package RDieHarder updated to version 0.2.8 with previous version 0.2.7 dated 2025-03-26

Title: R Interface to the 'DieHarder' RNG Test Suite
Description: The 'RDieHarder' package provides an R interface to the 'DieHarder' suite of random number generators and tests that was developed by Robert G. Brown and David Bauer, extending earlier work by George Marsaglia and others. The 'DieHarder' library code is included.
Author: Dirk Eddelbuettel [aut, cre] , Robert G Brown [aut], David Bauer [aut], DieHarder Contributors [ctb]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RDieHarder versions 0.2.7 dated 2025-03-26 and 0.2.8 dated 2026-09-10

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New package infometrics with initial version 0.3.0
Package: infometrics
Title: Information-Theoretic Methods for Econometric Estimation
Version: 0.3.0
Date: 2026-08-29
Description: Implements the class of Information-Theoretic (IT) estimators for econometric models, following the unified framework of Golan (2008) <doi:10.1561/0800000004>. Provides Generalized Maximum Entropy (GME) and Generalized Cross-Entropy (GCE) estimators for linear regression, instrumental variables, one-way error-component panel data, multinomial response, matrix balancing, and first-order Markov transition matrices, together with pure and noisy inverse-problem solvers. All estimators use the concentrated (dual) formulation for computational efficiency and report normalized-entropy, entropy-ratio, and Fano-bound diagnostics.
License: GPL-3
URL: https://github.com/GenMaxEnt/infometrics_R
BugReports: https://github.com/GenMaxEnt/infometrics_R/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats
Suggests: bookdown, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-30 08:32:06 UTC; gnbtr
Author: Ganbaatar Jambal [aut, cre]
Maintainer: Ganbaatar Jambal <jg3169a@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 13:00:02 UTC

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Package datawizard updated to version 1.4.0 with previous version 1.3.1 dated 2026-04-26

Title: Easy Data Wrangling and Statistical Transformations
Description: A lightweight package to assist in key steps involved in any data analysis workflow: (1) wrangling the raw data to get it in the needed form, (2) applying preprocessing steps and statistical transformations, and (3) compute statistical summaries of data properties and distributions. It is also the data wrangling backend for packages in 'easystats' ecosystem. References: Patil et al. (2022) <doi:10.21105/joss.04684>.
Author: Indrajeet Patil [aut] , Etienne Bacher [aut, cre] , Dominique Makowski [aut] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Brenton M. Wiernik [aut] , Remi Theriault [ctb] , Elin Waring [ctb], Thomas J. Faulkenberry [rev], Robert Garrett [rev [...truncated...]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>

Diff between datawizard versions 1.3.1 dated 2026-04-26 and 1.4.0 dated 2026-09-10

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 R/visualisation_recipe.R                       |  184 +-
 R/weighted_mean_median_sd_mad.R                |  328 ++--
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 man/reexports.Rd                               |    2 
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 man/rescale.Rd                                 |  390 ++--
 man/reverse.Rd                                 |  300 +--
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 man/row_means.Rd                               |  336 ++--
 man/rownames.Rd                                |  110 -
 man/skewness.Rd                                |  296 +--
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 tests/testthat/_snaps/data_read.md             |  240 +--
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 tests/testthat/_snaps/data_tabulate.md         | 1990 ++++++++++++-------------
 tests/testthat/_snaps/data_to_factor.md        |  168 +-
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 tests/testthat/test-convert_to_na.R            |    4 
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 tests/testthat/test-data_read.R                |    8 
 tests/testthat/test-data_recode.R              |   20 
 tests/testthat/test-data_tabulate.R            |  208 ++
 tests/testthat/test-data_to_factor.R           |    2 
 tests/testthat/test-describe_distribution.R    |   29 
 tests/testthat/test-discovr.R                  |only
 tests/testthat/test-standardize_models.R       |  910 +++++------
 135 files changed, 19451 insertions(+), 19001 deletions(-)

More information about datawizard at CRAN
Permanent link

Package TreeTools updated to version 2.4.1 with previous version 2.4.0 dated 2026-06-02

Title: Create, Modify and Analyse Phylogenetic Trees
Description: Efficient implementations of functions for the creation, modification and analysis of phylogenetic trees. Applications include: generation of trees with specified shapes; tree rearrangement; analysis of tree shape; rooting of trees and extraction of subtrees; calculation and depiction of split support; plotting the position of rogue taxa (Klopfstein & Spasojevic 2019) <doi:10.1371/journal.pone.0212942>; calculation of ancestor-descendant relationships, of 'stemwardness' (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>, and of tree balance (Mir et al. 2013, Lemant et al. 2022) <doi:10.1016/j.mbs.2012.10.005>, <doi:10.1093/sysbio/syac027>; artificial extinction (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>; import and export of trees from Newick, Nexus (Maddison et al. 1997) <doi:10.1093/sysbio/46.4.590>, and TNT <https://www.lillo.org.ar/phylogeny/tnt/> formats; and analysis of splits and cladistic information.
Author: Martin R. Smith [aut, cre, cph] , Emmanuel Paradis [cph] , Robert Noble [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeTools versions 2.4.0 dated 2026-06-02 and 2.4.1 dated 2026-09-10

 DESCRIPTION                                            |   15 
 MD5                                                    |  585 +-
 NAMESPACE                                              | 1036 +--
 NEWS.md                                                |   24 
 R/AddTip.R                                             |  550 +-
 R/ArtificialExtinction.R                               |    1 
 R/Cherries.R                                           |   68 
 R/ClusterTable.R                                       |  254 
 R/Combinatorics.R                                      |  696 +-
 R/Consensus.R                                          |   38 
 R/ConsistentSplits.R                                   |   84 
 R/Decompose.R                                          |  330 -
 R/DropTip.R                                            |    4 
 R/EdgeRatio.R                                          |   70 
 R/ImposeConstraint.R                                   |  278 -
 R/Information.R                                        |    1 
 R/KeptPaths.R                                          |   94 
 R/KeptVerts.R                                          |    2 
 R/LongBranchScore.R                                    |  150 
 R/MatchNodes.R                                         |  216 
 R/MatchStrings.R                                       |   66 
 R/PathLengths.R                                        |   96 
 R/PhyToString.R                                        |  284 -
 R/RUtreebalance.R                                      |  648 +-
 R/RcppExports-manual.R                                 |    7 
 R/RcppExports.R                                        |    4 
 R/ReadMrBayes.R                                        |  190 
 R/ReadTntTree.R                                        |  580 +-
 R/Reweight.R                                           |  220 
 R/RoguePlot.R                                          |    9 
 R/SplitFunctions.R                                     |  912 +--
 R/Splits.R                                             | 1336 ++--
 R/Stemwardness.R                                       |  218 
 R/TipTimedTree.R                                       |  100 
 R/TopologyOnly.R                                       |   84 
 R/TotalCopheneticIndex.R                               |    1 
 R/TreeNumber.R                                         | 1166 ++--
 R/TreeTools-package.R                                  |    3 
 R/Treeness.R                                           |  116 
 R/as.matrix.R                                          |   30 
 R/as.multiPhylo.R                                      |  152 
 R/data.R                                               |  180 
 R/fastmatch.R                                          |only
 R/helper_functions.R                                   |  200 
 R/match.R                                              |  496 -
 R/mst.R                                                |  158 
 R/parse_files.R                                        |   17 
 R/phylo.R                                              |    3 
 R/sort.R                                               |  156 
 R/split_analysis.R                                     |  162 
 R/tree_ancestors.R                                     |  220 
 R/tree_comparison.R                                    |   86 
 R/tree_display.R                                       |  292 -
 R/tree_generation.R                                    | 1006 +--
 R/tree_information.R                                   |  206 
 R/tree_numbering.R                                     |   62 
 R/tree_properties.R                                    |    1 
 R/tree_rearrangement.R                                 |    2 
 R/tree_shape.R                                         |  572 +-
 R/tree_write.R                                         |  262 
 R/zzz.R                                                |   16 
 build/partial.rdb                                      |binary
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 data/brewer.R                                          |   40 
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 data/nUnrootedShapes.R                                 |  124 
 inst/CITATION                                          |   35 
 inst/REFERENCES.bib                                    |  778 +-
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 inst/extdata/tests/tnt-bare-tree.tnt                   |    2 
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 inst/extdata/tests/tnt-dna.tnt                         |   42 
 inst/extdata/tests/tnt-matrix.tnt                      |  294 -
 inst/extdata/tests/tnt-midline-xread.tnt               |   12 
 inst/extdata/tests/tnt-multiline-comment.tnt           |   26 
 inst/extdata/tests/tnt-multiline-taxa.tnt              |   26 
 inst/extdata/tests/tnt-multitaxon-line.tnt             |   10 
 inst/extdata/tests/tnt-namedtree.tre                   |    8 
 inst/extdata/tests/tnt-smartquote-taxa.tnt             |   24 
 inst/extdata/tests/tnt-taxon-taxonomy.tnt              |   14 
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 man/CharacterInformation.Rd                            |   86 
 man/Cherries.Rd                                        |  108 
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 man/CladisticInfo.Rd                                   |  144 
 man/ClusterTable-methods.Rd                            |   94 
 man/ClusterTable.Rd                                    |  160 
 man/CollapseNode.Rd                                    |  162 
 man/CompatibleSplits.Rd                                |  108 
 man/Consensus.Rd                                       |  152 
 man/ConsensusWithout.Rd                                |  212 
 man/ConstrainedNJ.Rd                                   |  108 
 man/Decompose.Rd                                       |  168 
 man/DescendantEdges.Rd                                 |  164 
 man/DoubleFactorial.Rd                                 |  132 
 man/DropTip.Rd                                         |  280 -
 man/EdgeAncestry.Rd                                    |  126 
 man/EdgeDistances.Rd                                   |  106 
 man/EdgeRatio.Rd                                       |   92 
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 man/ExtractTaxa.Rd                                     |   90 
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 man/ReadCharacters.Rd                                  |  314 -
 man/ReadMrBayesTrees.Rd                                |  110 
 man/ReadTntTree.Rd                                     |  248 
 man/Renumber.Rd                                        |  118 
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 man/SplitsInBinaryTree.Rd                              |  162 
 man/Stemwardness.Rd                                    |  198 
 man/Subsplit.Rd                                        |   96 
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 man/SupportColour.Rd                                   |  142 
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 man/TipTimedTree.Rd                                    |  140 
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 man/TopologyOnly.Rd                                    |   46 
 man/TotalCopheneticIndex.Rd                            |  188 
 man/TreeIsRooted.Rd                                    |   86 
 man/TreeNumber.Rd                                      |  432 -
 man/TreeShape.Rd                                       |  318 -
 man/TreeTools-package.Rd                               |   93 
 man/Treeness.Rd                                        |  114 
 man/TreesMatchingSplit.Rd                              |   92 
 man/TreesMatchingTree.Rd                               |   98 
 man/TrivialSplits.Rd                                   |   96 
 man/TrivialTree.Rd                                     |  126 
 man/Unquote.Rd                                         |   64 
 man/UnrootedTreesMatchingSplit.Rd                      |   96 
 man/UnshiftTree.Rd                                     |  116 
 man/WriteTntCharacters.Rd                              |  140 
 man/as.Newick.Rd                                       |   96 
 man/as.multiPhylo.Rd                                   |  106 
 man/brewer.Rd                                          |   66 
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 man/doubleFactorials.Rd                                |   52 
 man/edge_to_splits.Rd                                  |   98 
 man/is.TreeNumber.Rd                                   |   64 
 man/logDoubleFactorials.Rd                             |   46 
 man/match.Splits.Rd                                    |  136 
 man/match.multiPhylo.Rd                                |  144 
 man/nRootedShapes.Rd                                   |   56 
 man/print.TreeNumber.Rd                                |   44 
 man/root_on_node.Rd                                    |   62 
 man/sapply64.Rd                                        |  164 
 man/sort.multiPhylo.Rd                                 |  114 
 man/xor.Rd                                             |   62 
 src/RcppExports.cpp                                    |   13 
 src/consensus.cpp                                      |  123 
 src/renumber_tips.cpp                                  |   98 
 tests/figs/rogueplot.svg                               |   68 
 tests/spelling.R                                       |    8 
 tests/testthat.R                                       |    8 
 tests/testthat/_snaps/RoguePlot/rogueplot-poly.svg     |   82 
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 tests/testthat/test-AddTip.R                           |    2 
 tests/testthat/test-ArtificialExtinction.R             |   94 
 tests/testthat/test-Cherries.R                         |   24 
 tests/testthat/test-ClusterTable.R                     |  284 -
 tests/testthat/test-Decompose.R                        |  152 
 tests/testthat/test-DropTip.R                          |    6 
 tests/testthat/test-EdgeRatio.R                        |   18 
 tests/testthat/test-FirstMatchingSplit.R               |   68 
 tests/testthat/test-ImposeConstraint.R                 |    4 
 tests/testthat/test-KeptPaths.R                        |   40 
 tests/testthat/test-KeptVerts.R                        |  172 
 tests/testthat/test-LongBranchScore.R                  |   36 
 tests/testthat/test-MatchNodes.R                       |  148 
 tests/testthat/test-MatchStrings.R                     |   26 
 tests/testthat/test-PathLengths.R                      |   70 
 tests/testthat/test-PhyToString.R                      |  150 
 tests/testthat/test-RUtreebalance.R                    |  128 
 tests/testthat/test-ReadMrBayes.R                      |    8 
 tests/testthat/test-ReadTntTree.R                      |    4 
 tests/testthat/test-Reweight.R                         |   92 
 tests/testthat/test-RoguePlot.R                        |   15 
 tests/testthat/test-SplitConsistent.R                  |   72 
 tests/testthat/test-SplitFunctions.R                   |  452 -
 tests/testthat/test-Splits.R                           |   16 
 tests/testthat/test-Stemwardness.R                     |   28 
 tests/testthat/test-TipTimedTree.R                     |   28 
 tests/testthat/test-TopologyOnly.R                     |   54 
 tests/testthat/test-TotalCopheneticIndex.R             |    2 
 tests/testthat/test-TreeNumber.R                       |  360 -
 tests/testthat/test-Treeness.R                         |   38 
 tests/testthat/test-as.matrix.R                        |   14 
 tests/testthat/test-as.multiPhylo.R                    |   70 
 tests/testthat/test-combinatorics.R                    |  178 
 tests/testthat/test-consensus.R                        |  419 +
 tests/testthat/test-fastmatch.R                        |only
 tests/testthat/test-helper_functions.R                 |   22 
 tests/testthat/test-information.R                      |   84 
 tests/testthat/test-int_to_tree.cpp.R                  |  130 
 tests/testthat/test-match.R                            |   58 
 tests/testthat/test-mst.R                              |   84 
 tests/testthat/test-parsers.R                          |   42 
 tests/testthat/test-phylo.R                            |    2 
 tests/testthat/test-root_tree.h.R                      |   34 
 tests/testthat/test-sort.R                             |   44 
 tests/testthat/test-split_analysis.R                   |   22 
 tests/testthat/test-splits.cpp.R                       |   74 
 tests/testthat/test-tree_ancestors.R                   |   40 
 tests/testthat/test-tree_comparison.R                  |   48 
 tests/testthat/test-tree_descendants.R                 |  168 
 tests/testthat/test-tree_display.R                     |  128 
 tests/testthat/test-tree_generation-random.R           |   90 
 tests/testthat/test-tree_information.R                 |   38 
 tests/testthat/test-tree_numbering.R                   |   40 
 tests/testthat/test-tree_properties.R                  |    2 
 tests/testthat/test-tree_rearrange.R                   |   22 
 tests/testthat/test-tree_shape.R                       |    2 
 tests/testthat/test-tree_write.R                       |    2 
 tests/testthat/testdata/nonPreCons.nex                 |   48 
 vignettes/filesystem-navigation.Rmd                    |  104 
 vignettes/load-data.Rmd                                |  428 -
 vignettes/load-trees.Rmd                               |  250 
 295 files changed, 23198 insertions(+), 22655 deletions(-)

More information about TreeTools at CRAN
Permanent link

Package synthpop updated to version 1.9-3 with previous version 1.9-2 dated 2025-07-12

Title: Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control
Description: A tool for producing synthetic versions of microdata containing confidential information so that they are safe to be released to users for exploratory analysis. The key objective of generating synthetic data is to replace sensitive original values with synthetic ones causing minimal distortion of the statistical information contained in the data set. Most synthesising methods available in the package synthesise from conditional distributions where variables, which can be categorical or continuous, are synthesised one-by-one using sequential modelling. Replacements are generated by drawing from conditional distributions fitted to the original data using parametric or classification and regression trees models. Methods that are not sequential, but synthesise all variables at once, are 'sample', 'ipf', and 'catall'. Data are synthesised via the function syn() which can be largely automated, if default settings are used, or with methods defined by the user. Optional parameters can be used [...truncated...]
Author: Beata Nowok [aut, cre], Gillian Raab [aut], Chris Dibben [ctb], Joshua Snoke [ctb], Caspar van Lissa [ctb], Lotte Pater [ctb], Timon Huijser [ctb]
Maintainer: Beata Nowok <beata.nowok@gmail.com>

Diff between synthpop versions 1.9-2 dated 2025-07-12 and 1.9-3 dated 2026-09-10

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Package kde1d updated to version 1.2.0 with previous version 1.1.1 dated 2025-06-12

Title: Univariate Kernel Density Estimation
Description: Provides an efficient implementation of univariate local polynomial kernel density estimators that can handle bounded, discrete, and zero-inflated data. See Geenens and Wang (2018) <doi:10.48550/arXiv.1602.04862>, Geenens (2014) <doi:10.48550/arXiv.1303.4121>, Nagler (2018a) <doi:10.48550/arXiv.1704.07457>, Nagler (2018b) <doi:10.48550/arXiv.1705.05431>.
Author: Thomas Nagler [aut, cre], Thibault Vatter [aut]
Maintainer: Thomas Nagler <mail@tnagler.com>

Diff between kde1d versions 1.1.1 dated 2025-06-12 and 1.2.0 dated 2026-09-10

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Package easybgm updated to version 0.5.0 with previous version 0.4.0 dated 2026-04-02

Title: Extracting and Visualizing Bayesian Graphical Models
Description: Fit and visualize the results of a Bayesian analysis of networks commonly found in psychology. The package supports cross-sectional network models for ordinal, binary, continuous, and mixed data, fitted using the packages 'bgms' (default), 'BDgraph', and 'BGGM', as well as network comparison tests fitted using the packages 'bgms' and 'BGGM'. The package provides the parameter estimates, posterior inclusion probabilities, inclusion Bayes factor, and the posterior density of the parameters. In addition, for 'BDgraph' and 'bgms' it allows to assess the posterior structure space. Furthermore, the package comes with an extensive suite for visualizing results.
Author: Karoline Huth [aut, cre] , Sara Keetelaar [ctb], Nikola Sekulovski [ctb], Gali Geller [ctb]
Maintainer: Karoline Huth <k.huth@uva.nl>

Diff between easybgm versions 0.4.0 dated 2026-04-02 and 0.5.0 dated 2026-09-10

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 MD5                              |   59 +-
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Package BayesRTMB updated to version 0.4.0 with previous version 0.3.0 dated 2026-08-20

Title: Bayesian Inference Using 'RTMB'
Description: Provides tools for Markov chain Monte Carlo (MCMC) and Maximum A Posteriori (MAP) estimation utilizing the 'RTMB' package. It supports various statistical models including generalized linear mixed models, factor analysis, item response theory, and multidimensional unfolding. The package allows users to easily transition between frequentist and Bayesian paradigms using a unified interface. Automatic differentiation and Laplace approximation follow Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>, and MCMC sampling uses the No-U-Turn Sampler described by Hoffman and Gelman (2014) <https://jmlr.org/papers/v15/hoffman14a.html>.
Author: Hiroshi Shimizu [aut, cre]
Maintainer: Hiroshi Shimizu <simizu706@gmail.com>

Diff between BayesRTMB versions 0.3.0 dated 2026-08-20 and 0.4.0 dated 2026-09-10

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Package approximator updated to version 1.3-0 with previous version 1.2-8 dated 2023-08-24

Title: Bayesian Prediction of Complex Computer Codes
Description: Performs Bayesian prediction of complex computer codes when fast approximations are available. It uses a hierarchical version of the Gaussian process, originally proposed by Kennedy and O'Hagan (2000), Biometrika 87(1):1.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between approximator versions 1.2-8 dated 2023-08-24 and 1.3-0 dated 2026-09-10

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Package performance updated to version 0.18.2 with previous version 0.18.1 dated 2026-09-01

Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. References: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Remi Theriault [aut, ctb] , Vincent Arel-Bundock [ctb] , Martin J [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

Diff between performance versions 0.18.1 dated 2026-09-01 and 0.18.2 dated 2026-09-10

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 MD5                                            |   12 ++++++------
 NEWS.md                                        |   12 ++++++++++++
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 7 files changed, 47 insertions(+), 13 deletions(-)

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Package BayesNSGP updated to version 0.3.1 with previous version 0.3.0 dated 2026-08-19

Title: Bayesian Analysis of Non-Stationary Gaussian Process Models
Description: Enables off-the-shelf functionality for fully Bayesian, nonstationary Gaussian process modeling. The approach to nonstationary modeling involves a closed-form, convolution-based covariance function with spatially-varying parameters; these parameter processes can be specified either deterministically (using covariates or basis functions) or stochastically (using approximate Gaussian processes). Stationary Gaussian processes are a special case of our methodology, and we furthermore implement approximate Gaussian process inference to account for very large spatial data sets (Finley, et al (2017) <doi:10.48550/arXiv.1702.00434>). Bayesian inference is carried out using Markov chain Monte Carlo methods via the "nimble" package, and posterior prediction for the Gaussian process at unobserved locations is provided as a post-processing step. Also provided are nearest-neighbor Gaussian process components for use directly in user-written model code, where the spatial process is retained as [...truncated...]
Author: Daniel Turek [aut, cre], Mark Risser [aut], Fabian Ketwaroo [aut]
Maintainer: Daniel Turek <danielturek@gmail.com>

Diff between BayesNSGP versions 0.3.0 dated 2026-08-19 and 0.3.1 dated 2026-09-10

 DESCRIPTION            |   13 ++++++++-----
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New package RSEML with initial version 0.1.0
Package: RSEML
Title: Case-Based Least Squares Estimation of Nonlinear Structural Equation Models
Version: 0.1.0
Date: 2026-08-28
Description: Estimates structural equation models by case-based least squares: the latent scores of every observation are treated as free variables of a constrained optimization problem, so that arbitrary nonlinear model equations, bounds and constraints on latent variables and inequality constraints on parameters become possible. Model equations are specified as plain text (e.g. "y == a*exp(b*eta)"). Gradients are obtained by automatic differentiation via 'RTMB', and the constrained problem is solved with 'nloptr' (SLSQP or augmented Lagrangian). Missing data are handled case-wise. The methodology is described in Oldenburg (2024) <doi:10.19139/soic-2310-5070-1868> and Oldenburg (2025) <doi:10.19139/soic-2310-5070-2324>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: RTMB, nloptr, stats
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-08-29 12:48:31 UTC; root
Author: Reinhard Oldenburg [aut, cre]
Maintainer: Reinhard Oldenburg <reinhard.oldenburg@math.uni-augsburg.de>
Repository: CRAN
Date/Publication: 2026-09-10 09:20:12 UTC

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New package otter with initial version 0.1.0
Package: otter
Title: Ott's Utility Functions
Version: 0.1.0
Description: A growing collection of personal utility functions. Currently provides tools to parse Rich Text Format (RTF) files and extract their tables into data frames, automatically detecting header rows, merging multi-page tables, and resolving merged cells. Particularly useful for tables produced by SAS or by the 'r2rtf' package, which are commonly used for clinical trial and regulatory reporting.
License: MIT + file LICENSE
URL: https://github.com/ottvahtrik/otter, https://ottvahtrik.github.io/otter/
BugReports: https://github.com/ottvahtrik/otter/issues
Encoding: UTF-8
Suggests: lintr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-28 16:48:57 UTC; ottvahtrik
Author: Ott Vahtrik [aut, cre]
Maintainer: Ott Vahtrik <ott.vahtrik@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 09:20:02 UTC

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New package oesir with initial version 0.3.2
Package: oesir
Title: Online Sliced Inverse Regression for Elliptical Model with Streaming Data
Version: 0.3.2
Author: Sirui Yan [aut], Guangbao Guo [aut, cre]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Description: For high-dimensional streaming heavy-tailed elliptical data, traditional sliced inverse regression methods require full offline data and cannot adapt to incremental data arrival. This package implements Online Sliced Inverse Regression for Elliptical Model with Streaming Data (OE-SIR) algorithm with two recursive updating strategies, including offline batch SIR as benchmark, elliptical heavy-tailed data simulator, subspace evaluation metric and batch simulation tools for numerical experiments. Cai, Z., Li, R., & Zhu, L. (2020) <doi:10.48550/arXiv.2002.02795>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, Matrix, MASS
NeedsCompilation: no
Language: en-US
Packaged: 2026-08-05 09:27:43 UTC; Lenovo
Repository: CRAN
Date/Publication: 2026-09-10 09:20:08 UTC

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New package cudaverse with initial version 0.4.1
Package: cudaverse
Title: Lightweight 'CUDA' Numerical Computing
Version: 0.4.1
Description: Provides a lightweight interface to graphics processing unit (GPU)-accelerated numerical computing using 'CUDA'. Dense tensors, sparse matrices, decompositions, distances, exact nearest neighbours, clustering, graph workflows, and embeddings share one consistent interface. The native backend discovers the 'NVIDIA CUDA Driver API', 'cuBLAS', and 'cuSOLVER' libraries at runtime without bundling 'LibTorch' or the 'CUDA Runtime'. Stage-level provenance records the backend, device, and data transfers used by each result. A portable implementation supports package validation on systems without 'CUDA'. Background for the included Leiden community detection and uniform manifold approximation and projection methods is given by Traag, Waltman and van Eck (2019) <doi:10.1038/s41598-019-41695-z> and McInnes et al. (2018) <doi:10.21105/joss.00861>, respectively.
License: MIT + file LICENSE
URL: https://cudaverse.github.io/cudaverse/, https://github.com/cudaverse/cudaverse
BugReports: https://github.com/cudaverse/cudaverse/issues
Encoding: UTF-8
Language: en-US
Imports: Matrix, methods, stats
Suggests: igraph (>= 2.0.0), knitr, rmarkdown, RSpectra, Rtsne, S4Vectors, SingleCellExperiment, testthat (>= 3.0.0), torch, uwot
VignetteBuilder: knitr
SystemRequirements: For GPU execution on Windows or Linux: NVIDIA CUDA-capable GPU, NVIDIA driver with CUDA Driver API, NVIDIA cuBLAS 12, and NVIDIA cuSOLVER 11
NeedsCompilation: yes
Packaged: 2026-08-29 06:34:48 UTC; Li
Author: Yaoxiang Li [aut, cre]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-10 09:30:02 UTC

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Package bvarnet updated to version 1.0.3 with previous version 1.0.2 dated 2026-08-31

Title: Bayesian Estimation of Dynamic VAR Models using Stan
Description: Bayesian estimation of multilevel Vector Autoregression (VAR) models using Stan. Supports Gaussian, Binary, and Ordinal (adjacent category) outcome variables with random effects and customizable priors.
Author: Florian Metwaly [aut, cre, cph]
Maintainer: Florian Metwaly <f.j.metwaly@uva.nl>

Diff between bvarnet versions 1.0.2 dated 2026-08-31 and 1.0.3 dated 2026-09-10

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 27 files changed, 491 insertions(+), 111 deletions(-)

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New package AlleloBin with initial version 1.0.0
Package: AlleloBin
Title: A Shiny Application for Allele Binning in Microsatellite Markers
Version: 1.0.0
Description: Provides allele binning functionality for SSR/microsatellite markers using least-squares minimization (Idury & Cardon (1997) <doi:10.1101/gr.7.11.1104>). Includes a 'Shiny' application for interactive use, summary statistics, and visualization.
License: GPL-3
Encoding: UTF-8
Imports: shiny, readxl, stats, utils, openxlsx
Suggests: testthat (>= 3.0.0), roxygen2
URL: https://github.com/vpprasanth/AlleloBin
BugReports: https://github.com/vpprasanth/AlleloBin/issues
NeedsCompilation: no
Packaged: 2026-08-29 08:07:51 UTC; vppra
Author: VP Prasanth [aut, cre], Subhash Chandra [aut], DA Hoisington [aut], B Jayashree [aut]
Maintainer: VP Prasanth <prasanth.stat@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 09:10:02 UTC

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New package agriPAM with initial version 0.1.0
Package: agriPAM
Title: Agricultural Policy Analysis Matrix Toolkit
Version: 0.1.0
Description: Builds and analyses Policy Analysis Matrices ('PAMs') for agricultural production systems. Computes private and social profitability, policy transfers, the domestic resource cost ratio, nominal protection coefficients for outputs and inputs, the effective protection coefficient, the private cost ratio, the profitability coefficient, subsidy ratios, and social cost-benefit ratios. Supports itemised farm budgets, parity prices, grouped analysis, deterministic sensitivity analysis, switching values, and correlated Monte Carlo simulation. Methods follow Monke and Pearson (1989, ISBN:0801419530) and the Food and Agriculture Organization of the United Nations (2007, ISBN:9789251057476).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: graphics, grDevices, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Classification/JEL: Q12, Q18
NeedsCompilation: no
Packaged: 2026-08-29 20:12:24 UTC; majum
Author: Chiranjit Mazumder [aut, cre], Himadri Sekhar Roy [aut], Utkarsh Tiwari [aut], Pramit Pandit [aut], Bikramjeet Ghose [aut]
Maintainer: Chiranjit Mazumder <majumder.chira@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 09:30:09 UTC

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New package aanova with initial version 1.0.1
Package: aanova
Title: Robust Ecological and Fisheries Data Analysis and Visualization
Version: 1.0.1
Description: A comprehensive statistical and visualization toolkit tailored for fisheries science, stock assessment workflows, and aquatic ecology. It provides streamlined wrappers for univariate and factorial ANOVA, ANCOVA, MANOVA, generalized linear models (GLMs) for count data, non-linear morphometric regressions, custom correlation heatmaps, and integrated Mantel test network linkages.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: RColorBrewer, dplyr, emmeans, ggplot2, ggpubr, multcomp, tidyr, stringr, MASS, vegan
Suggests: knitr, multcompView, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2026-08-29 20:52:15 UTC; User
Author: Ataher Ali [aut, cre]
Maintainer: Ataher Ali <ataher.cu.ms@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 09:30:15 UTC

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New package socketR with initial version 1.0.4
Package: socketR
Title: POSIX Socket Programming for R
Version: 1.0.4
Description: Provides a small, type-safe interface to POSIX sockets on Linux.
License: Apache License (>= 2)
Encoding: UTF-8
SystemRequirements: Linux operating system with POSIX socket APIs and C++17 compiler
Imports: R6
Suggests: arrow, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://sassoftware.github.io/socketr/
BugReports: https://github.com/sassoftware/socketr/issues
NeedsCompilation: yes
Packaged: 2026-08-28 16:18:47 UTC; edhell
Author: Eduardo Hellas [aut, cre], SAS [cph, fnd]
Maintainer: Eduardo Hellas <ehellas@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 08:30:02 UTC

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New package IndFarmCost with initial version 0.1.0
Package: IndFarmCost
Title: Indian Farm Cost Concepts for Agricultural Economic Analysis
Version: 0.1.0
Description: Implements commonly used Indian farm cost concepts for agricultural economic analysis, including Cost A1, A2, B1, B2, C1, C2, and C3. Tools are provided to calculate cost concepts from farm-level input data, aggregate costs across groups, summarize distributions, compute returns and benefit-cost ratios, estimate cost of production and break-even values, decompose cost shares, conduct one-way sensitivity analysis, and visualize concept-wise costs. The implementation is designed for reproducible farm management and cost-of-cultivation studies.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-28 14:57:35 UTC; majum
Author: Chiranjit Mazumder [aut, cre], Mrinmoy Ray [aut], Utkarsh Tiwari [aut]
Maintainer: Chiranjit Mazumder <majumder.chira@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 08:30:08 UTC

More information about IndFarmCost at CRAN
Permanent link

Package gamlss.dist updated to version 6.1-11 with previous version 6.1-1 dated 2023-08-23

Title: Distributions for Generalized Additive Models for Location Scale and Shape
Description: A set of distributions which can be used for modelling the response variables in Generalized Additive Models for Location Scale and Shape, Rigby and Stasinopoulos (2005), <doi:10.1111/j.1467-9876.2005.00510.x>. The distributions can be continuous, discrete or mixed distributions. Extra distributions can be created, by transforming, any continuous distribution defined on the real line, to a distribution defined on ranges 0 to infinity or 0 to 1, by using a 'log' or a 'logit' transformation respectively.
Author: Mikis Stasinopoulos [aut, cre, cph] , Robert Rigby [aut] , Calliope Akantziliotou [ctb], Vlasios Voudouris [ctb], Gillian Heller [ctb] , Fernanda De Bastiani [ctb] , Raydonal Ospina [ctb] , Nicoletta Motpan [ctb], Fiona McElduff [ctb], Majid Djennad [...truncated...]
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@gre.ac.uk>

Diff between gamlss.dist versions 6.1-1 dated 2023-08-23 and 6.1-11 dated 2026-09-10

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More information about gamlss.dist at CRAN
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New package EpiQuestionR with initial version 0.1.1
Package: EpiQuestionR
Title: Questionnaire Analysis for Epidemiology and One Health Research
Version: 0.1.1
Description: Provides tools for the analysis of questionnaire and survey data in epidemiological and One Health research. The package supports data preparation, reliability assessment, exploratory factor analysis, Kaiser-Meyer-Olkin assessment, parallel analysis, visualization, reporting, and export of results using a consistent analysis workflow. The methods are based on established approaches to psychometric and multivariate analysis; see Kaiser (1974) <doi:10.1007/BF02291575>, Horn (1965) <doi:10.1007/BF02289447>, and Tabachnick and Fidell (2019, ISBN:9780134790541).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.3.0)
Imports: ggplot2, Matrix, graphics, lavaan, psych, stats, generics, withr, tibble
Suggests: broom, broom.helpers, car, corrplot, covr, dplyr, DT, flextable, forcats, gt, gtsummary, haven, janitor, knitr, leaflet, ltm, MASS, mirt, MBESS, nnet, officer, plotly, purrr, readr, readxl, rlang, rmarkdown, semPlot, sf, shiny, shinydashboard, spdep, spelling, stringr, testthat (>= 3.0.0), tidyr, tmap, e1071, jsonlite, openxlsx, reshape2, scales, yaml
VignetteBuilder: knitr
URL: https://github.com/vinodhpmd/EpiQuestionR
BugReports: https://github.com/vinodhpmd/EpiQuestionR/issues
NeedsCompilation: no
Packaged: 2026-08-29 04:03:20 UTC; m
Author: Vinodh Kumar Obli Rajendran [aut, cre] , Keerthi Aaradhana [aut]
Maintainer: Vinodh Kumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 09:00:18 UTC

More information about EpiQuestionR at CRAN
Permanent link

Package DEA readmission to version 1.0.0 with previous version 0.1-2 dated 2008-02-19

Title: Data Envelopment Analysis
Description: Nonparametric efficiency measurement by data envelopment analysis. Provides radial (Charnes-Cooper-Rhodes and Banker-Charnes-Cooper) technical efficiency under constant, variable, non-increasing and non-decreasing returns to scale, the slacks-based measure of Tone (2001), the additive model of Charnes and others (1985), and the directional distance function of Chambers, Chung and Fare (1996), all through one interface and one result object. Efficiency estimates are accompanied by peers, slacks, returns-to-scale classification, scale efficiency and the optimal multipliers, and by bias-corrected estimates and confidence intervals from the smoothed homogeneous bootstrap of Simar and Wilson (1998). Where prices are known, cost, revenue and Nerlovian profit efficiency separate the technical component from the allocative one; where they are not, cross-efficiency with the secondary goals of Doyle and Green (1994) ranks units that a self-appraisal leaves tied. This package succeeds the arch [...truncated...]
Author: David Bernstein [aut, cre] , Zuleyka Diaz-Martinez [aut], Jose Fernandez-Menendez [aut]
Maintainer: David Bernstein <davebernstein1@gmail.com>

This is a re-admission after prior archival of version 0.1-2 dated 2008-02-19

Diff between DEA versions 0.1-2 dated 2008-02-19 and 1.0.0 dated 2026-09-10

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New package AHTauDesign with initial version 0.1.0
Package: AHTauDesign
Title: Truncation Time Selection for Average Hazard Analyses
Version: 0.1.0
Description: Implements a two-stage, design-informed framework for selecting the truncation time in time-to-event trials analyzed with the average hazard estimand, motivated by pediatric oncology settings with small samples, slow accrual, and limited follow-up. Stage 1 validates a clinically proposed truncation time against the planned design using simulation-based diagnostics for risk-set support, follow-up coverage, estimability, and estimator stability, classifying it as Pass, Borderline, or Fail. Stage 2 performs constrained optimization over a grid of candidate truncation times within a clinical-distance window, maximizing a utility subject to feasibility constraints, with an independent evaluation run to assess the selected time. Supports proportional-hazards, early-, and delayed-effect patterns, uniform accrual with administrative censoring, and calibrated exponential random censoring.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: survival, stats, utils
Suggests: ggplot2, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-25 04:01:27 UTC; xinyueyue
Author: Xinyue Zhao [aut, cre], Haitao Pan [aut]
Maintainer: Xinyue Zhao <xinyuezhao27@gwu.edu>
Repository: CRAN
Date/Publication: 2026-09-10 08:40:08 UTC

More information about AHTauDesign at CRAN
Permanent link

Package manynet updated to version 2.3.4 with previous version 2.3.1 dated 2026-08-28

Title: Many Ways to Make, Manipulate, and Modify Myriad Networks
Description: Many tools for making, manipulating, and modifying many different types of networks. All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, on directed, multiplex, multimodal, signed, and other networks. The package includes functions for importing and exporting, creating and generating networks, modifying networks and node and tie attributes, and describing networks with sensible defaults.
Author: James Hollway [cre, aut, ctb] , Tomas Diviak [ctb], Henrique Sposito [ctb] , Christian Steglich [ctb], Alvaro Uzaheta [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package HAPTRACE updated to version 0.1.2 with previous version 0.1.1 dated 2026-07-30

Title: Haplotype-Based Tracking of Admixed Population for Breed Composition Estimation
Description: Simulate populations and track haplotypes over generations to evaluate population admixture. The 'HAPTRACE' supports customisable population parameters, including size, number of markers, mutation rates and recombination.
Author: Shweta Sahoo [aut, cre] , Sara de las Heras-Saldana [aut] , Julius H. J. van der Werf [aut] , Mohammad H. Ferdosi [aut]
Maintainer: Shweta Sahoo <queryhap01@gmail.com>

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Package GerminaR updated to version 2.1.7 with previous version 2.1.6 dated 2025-10-21

Title: Indices and Graphics for Assess Seed Germination Process
Description: A collection of different indices and visualization techniques for evaluate the seed germination process in ecophysiological studies (Lozano-Isla et al. 2019) <doi:10.1111/1440-1703.1275>.
Author: Flavio Lozano-Isla [aut, cre] , Omar Benites Alfaro [aut] , Marcelo F. Pompelli [aut, ths] , Denise Garcia de Santana [aut], Marli A. Ranal [aut], Federal University of Pernambuco [cph] , Federal Rural University of Pernambuco [cph] , Inkaverse [ctb]
Maintainer: Flavio Lozano-Isla <flozanoisla@gmail.com>

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Wed, 09 Sep 2026

Package ShortForm updated to version 1.0.0 with previous version 0.5.8 dated 2026-05-06

Title: Automatic Short Form Creation
Description: Performs automatic creation of short forms of scales with an ant colony optimization algorithm and a Tabu search. As implemented in the package, the ant colony algorithm randomly selects items to build a model of a specified length, then updates the probability of item selection according to the fit of the best model within each set of searches. The algorithm continues until the same items are selected by multiple ants a given number of times in a row. On the other hand, the Tabu search changes one parameter at a time to be either free, constrained, or fixed while keeping track of the changes made and putting changes that result in worse fit in a "tabu" list so that the algorithm does not revisit them for some number of searches. See Leite, Huang, & Marcoulides (2008) <doi:10.1080/00273170802285743> for an applied example of the ant colony algorithm, and Marcoulides & Falk (2018) <doi:10.1080/10705511.2017.1409074> for an applied example of the Tabu search.
Author: Anthony Raborn [aut, cre] , Walter Leite [aut]
Maintainer: Anthony Raborn <anthony.w.raborn@gmail.com>

Diff between ShortForm versions 0.5.8 dated 2026-05-06 and 1.0.0 dated 2026-09-09

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Package csbewma updated to version 1.1.0 with previous version 1.0.1 dated 2026-06-05

Title: Cumulative Standardized Binomial EWMA for Multiple Stream Processes
Description: Implements the Cumulative Standardized Binomial Exponentially Weighted Moving Average (CSB-EWMA) control chart for monitoring multiple independent streams with binomial outcomes. Provides exact variance calculations, adaptive control limits, post-hoc identification with multiple testing corrections (Bonferroni, Holm, Benjamini-Hochberg), and visualization tools. The method is described in Muritala et al. (2026) <doi:10.48550/arXiv.2601.09968>.
Author: Faruk Muritala [aut, cre], Austin Brown [aut], Dhrubajyoti Ghosh [aut], Sherry Ni [aut]
Maintainer: Faruk Muritala <fmurital@students.kennesaw.edu>

Diff between csbewma versions 1.0.1 dated 2026-06-05 and 1.1.0 dated 2026-09-09

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Package acR updated to version 0.3.4 with previous version 0.3.3 dated 2026-08-20

Title: Content Analysis in R: Integrated Qualitative (LLMs) and Quantitative Pipeline
Description: Provides an integrated pipeline for content analysis combining qualitative coding assisted by large language models (LLMs) with classical quantitative text analysis. Includes modules for pre-processing (tokenization, stopwords for Brazilian Portuguese), descriptive statistics, keyness, co-occurrence networks, word clouds (including comparative and X-ray variants), sentiment analysis via OpLexicon, Latent Dirichlet Allocation (LDA), inter-coder reliability metrics (Krippendorff, Gwet), and modern visualizations based on ggplot2. Special focus on Brazilian corpora and political-institutional codebooks. Inspired by Maerz and Benoit (2025) <https://quallmer.github.io/quallmer/>.
Author: Anderson Henrique [aut, cre]
Maintainer: Anderson Henrique <anderson.henrique@usp.br>

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Package hdf5lib updated to version 2.2.0.0 with previous version 2.1.1.2 dated 2026-07-21

Title: Headers and Static Libraries for 'HDF5'
Description: Provides a self-contained, static build of the 'HDF5' (Hierarchical Data Format 5) 'C' library (release 2.2.0) for R package developers. Designed for use in the 'LinkingTo' field, it enables zero-dependency integration by building the library entirely from source during installation. Additionally, it compiles and internally links a comprehensive suite of advanced compression filters and their 'HDF5' plugins (Zstd, LZ4, Blosc/Blosc2, Snappy, ZFP, Bzip2, LZF, Bitshuffle, szip, and gzip). These plugins are integrated out-of-the-box, allowing downstream packages to utilize high-performance compression directly through the standard 'HDF5' API while keeping the underlying third-party headers fully encapsulated. 'HDF5' is developed by The HDF Group <https://www.hdfgroup.org/>.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd], The HDF Group [ctb, cph] , The Board of Trustees of the University of Illinois [cph] , Jean-loup Gailly [ctb, cph] , Mark Adler [ctb, cph] , Kiyoshi Masui [...truncated...]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

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Package spaMM updated to version 4.7.0 with previous version 4.6.65 dated 2026-04-06

Title: Mixed-Effect Models, with or without Spatial Random Effects
Description: Inference based on models with or without spatially-correlated random effects, multivariate responses, or non-Gaussian random effects (e.g., Beta). Variation in residual variance (heteroscedasticity) can itself be represented by a mixed-effect model. Both classical geostatistical models (Rousset and Ferdy 2014 <doi:10.1111/ecog.00566>), and Markov random field models on irregular grids (as considered in the 'INLA' package, <https://www.r-inla.org>), can be fitted, with distinct computational procedures exploiting the sparse matrix representations for the latter case and other autoregressive models. Laplace approximations are used for likelihood or restricted likelihood. Penalized quasi-likelihood and other variants discussed in the h-likelihood literature (Lee and Nelder 2001 <doi:10.1093/biomet/88.4.987>) are also implemented.
Author: Francois Rousset [aut, cre, cph] , Jean-Baptiste Ferdy [aut, cph], Alexandre Courtiol [aut]
Maintainer: Francois Rousset <francois.rousset@umontpellier.fr>

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 spaMM-4.7.0/spaMM/R/HLfit_Internals.R                             |  812 +++++---
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 spaMM-4.7.0/spaMM/R/HLfit_body.R                                  |   47 
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 spaMM-4.7.0/spaMM/R/Matern_family.R                               |    6 
 spaMM-4.7.0/spaMM/R/ZAL_class.R                                   |   14 
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More information about spaMM at CRAN
Permanent link

Package leaflet.extras2 updated to version 1.3.3 with previous version 1.3.2 dated 2025-08-27

Title: Extra Functionality for 'leaflet' Package
Description: Several 'leaflet' plugins are integrated, which are available as extension to the 'leaflet' package.
Author: Gatscha Sebastian [aut, cre], Ricardo Rodrigo Basa [ctb], Jeffrey O Hanson [ctb]
Maintainer: Gatscha Sebastian <sebastian_gatscha@gmx.at>

Diff between leaflet.extras2 versions 1.3.2 dated 2025-08-27 and 1.3.3 dated 2026-09-09

 DESCRIPTION                                             |    8 
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 NEWS.md                                                 |   43 ++
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 R/buildings.R                                           |    9 
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 tests/testthat/test-playback.R                          |    3 
 tests/testthat/test-sidebar.R                           |   19 +
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 156 files changed, 2645 insertions(+), 1190 deletions(-)

More information about leaflet.extras2 at CRAN
Permanent link

Package smartsnp updated to version 1.2.1 with previous version 1.2.0 dated 2025-06-09

Title: Fast Multivariate Analyses of Big Genomic Data
Description: Fast computation of multivariate analyses of small (10s to 100s markers) to big (1000s to 100000s) genotype data. Runs Principal Component Analysis allowing for centering, z-score standardization and scaling for genetic drift, projection of ancient samples to modern genetic space and multivariate tests for differences in group location (Permutation-Based Multivariate Analysis of Variance) and dispersion (Permutation-Based Multivariate Analysis of Dispersion).
Author: Salvador Herrando-Perez [aut] , Ray Tobler [ctb] , Christian Huber [ctb, cre]
Maintainer: Christian Huber <christian.domitian.huber@gmail.com>

Diff between smartsnp versions 1.2.0 dated 2025-06-09 and 1.2.1 dated 2026-09-09

 DESCRIPTION            |    6 +++---
 MD5                    |   23 ++++++++++++-----------
 NEWS.md                |    6 ++++++
 R/smart_mva.R          |   14 +++++++-------
 R/smart_pca.R          |   14 +++++++-------
 R/smart_permanova.R    |    8 ++++----
 R/smart_permdisp.R     |    8 ++++----
 build/vignette.rds     |binary
 man/smart_mva.Rd       |   12 +++++++++++-
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 man/smart_permdisp.Rd  |   10 +++++++++-
 tests                  |only
 13 files changed, 79 insertions(+), 41 deletions(-)

More information about smartsnp at CRAN
Permanent link

Package datarobot updated to version 2.18.9 with previous version 2.18.8 dated 2026-05-26

Title: 'DataRobot' Predictive Modeling API
Description: For working with the 'DataRobot' predictive modeling platform's API <https://www.datarobot.com/>.
Author: Ron Pearson [aut], Zachary Deane-Mayer [aut], David Chudzicki [aut], Dallin Akagi [aut], Sergey Yurgenson [aut], Thakur Raj Anand [aut], Peter Hurford [aut], Chester Ismay [aut], AJ Alon [aut, cre], Andrew Watson [aut], Gregory Williams [aut], Anasta [...truncated...]
Maintainer: AJ Alon <api-maintainer@datarobot.com>

Diff between datarobot versions 2.18.8 dated 2026-05-26 and 2.18.9 dated 2026-09-09

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Package shinyglass updated to version 0.3.0 with previous version 0.2.0 dated 2026-08-21

Title: Liquid Glass Design Themes for 'shiny' Applications
Description: Provides drop-in Liquid Glass themes for 'shiny'. Call glass_theme() and pass the result as theme = to fluidPage(), navbarPage(), or any 'bslib'-aware page function to get translucent surfaces, backdrop blur, and system typography on 'Bootstrap' components. Includes light and dark presets with runtime switching and an OS-following 'auto' mode, an iOS-style intensity control from Ultra Clear to Tinted, optional persistence of the look, named wallpaper scenes, and helpers to match 'ggplot2', 'plotly', and 'gt' output to the glass pack.
Author: Eric Anderson [aut, cre, cph]
Maintainer: Eric Anderson <eric.ray.anderson@gmail.com>

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Package neonUtilities updated to version 4.0.2 with previous version 4.0.1 dated 2026-07-02

Title: Utilities for Working with NEON Data
Description: NEON data packages can be accessed through the NEON Data Portal <https://www.neonscience.org> or through the NEON Data API (see <https://data.neonscience.org/data-api> for documentation). Data delivered from the Data Portal are provided as monthly zip files packaged within a parent zip file, while individual files can be accessed from the API. This package provides tools that aid in discovering, downloading, and reformatting data prior to use in analyses. This includes downloading data via the API, merging data tables by type, and converting formats. For more information, see the readme file at <https://github.com/NEONScience/NEON-utilities>.
Author: Claire Lunch [aut, cre, ctb], Christine Laney [aut, ctb], Nathan Mietkiewicz [aut, ctb], Eric Sokol [aut, ctb], Kaelin Cawley [aut, ctb], NEON [aut]
Maintainer: Claire Lunch <clunch@battelleecology.org>

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Package ldsep updated to version 2.1.7 with previous version 2.1.6 dated 2025-09-18

Title: Linkage Disequilibrium Shrinkage Estimation for Polyploids
Description: Estimate haplotypic or composite pairwise linkage disequilibrium (LD) in polyploids, using either genotypes or genotype likelihoods. Support is provided to estimate the popular measures of LD: the LD coefficient D, the standardized LD coefficient D', and the Pearson correlation coefficient r. All estimates are returned with corresponding standard errors. These estimates and standard errors can then be used for shrinkage estimation. The main functions are ldfast(), ldest(), mldest(), sldest(), plot.lddf(), format_lddf(), and ldshrink(). Details of the methods are available in Gerard (2021a) <doi:10.1111/1755-0998.13349> and Gerard (2021b) <doi:10.1038/s41437-021-00462-5>.
Author: David Gerard [aut, cre]
Maintainer: David Gerard <gerard.1787@gmail.com>

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Package s7contract updated to version 0.2.3 with previous version 0.1.0 dated 2026-05-07

Title: Behavioral Contracts and Generative Laws for 'S7'
Description: Contract helpers built with 'S7' for expressing runtime protocols around ordinary 'S7' dispatch. Structural interfaces describe small sets of required 'S7' generics, while explicit traits record registered implementations with optional default methods and associated metadata. Optional runtime checks can validate argument and return specifications in contract-scoped evaluation. Generative laws combine generators, deterministic shrinking, and one-result 'tinytest' expectations.
Author: Sounkou Mahamane Toure [aut, cre]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>

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Package hierNet updated to version 1.10.1 with previous version 1.9 dated 2020-02-05

Title: A Lasso for Hierarchical Interactions
Description: Fits sparse interaction models for continuous and binary responses subject to the strong (or weak) hierarchy restriction that an interaction between two variables only be included if both (or at least one of) the variables is included as a main effect. For more details, see Bien, J., Taylor, J., Tibshirani, R., (2013) "A Lasso for Hierarchical Interactions." Annals of Statistics. 41(3). 1111-1141.
Author: Jacob Bien [aut, cre], Rob Tibshirani [aut]
Maintainer: Jacob Bien <jbien@usc.edu>

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Package caugi updated to version 1.3.0 with previous version 1.2.0 dated 2026-05-05

Title: Causal Graph Interface
Description: Create, query, and modify causal graphs. 'caugi' (Causal Graph Interface) is a causality-first, high performance graph package that provides a simple interface to build, structure, and examine causal relationships.
Author: Frederik Fabricius-Bjerre [aut, cre, cph] , Johan Larsson [aut] , Michael Sachs [aut] , Bjarke Hautop Kristensen [aut], Leonard Henckel [ctb, cph] ; see LICENSE.note), Theo Wuertzen [ctb, cph] , Sebastian Weichwald [ctb, cph] , Authors of the bundled [...truncated...]
Maintainer: Frederik Fabricius-Bjerre <frederik@fabriciusbjerre.dk>

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Package tidypredict updated to version 1.2.1 with previous version 1.2.0 dated 2026-09-04

Title: Run Predictions Inside the Database
Description: It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. Dozens of model classes are supported; see the "Supported models" article at <https://tidypredict.tidymodels.org/articles/models.html> for the current list.
Author: Emil Hvitfeldt [aut, cre] , Edgar Ruiz [aut], Max Kuhn [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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Package survival updated to version 3.8-12 with previous version 3.8-11 dated 2026-08-21

Title: Survival Analysis
Description: Contains the core survival analysis routines, including definition of Surv objects, Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models, and parametric accelerated failure time models.
Author: Terry M Therneau [aut, cre], Thomas Lumley [ctb, trl] , Atkinson Elizabeth [ctb], Crowson Cynthia [ctb]
Maintainer: Terry M Therneau <terry.therneau@proton.me>

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Package simtrial updated to version 1.1.0 with previous version 1.0.2 dated 2025-11-20

Title: Clinical Trial Simulation
Description: Provides some basic routines for simulating a clinical trial. The primary intent is to provide some tools to generate trial simulations for trials with time to event outcomes. Piecewise exponential failure rates and piecewise constant enrollment rates are the underlying mechanism used to simulate a broad range of scenarios such as those presented in Lin et al. (2020) <doi:10.1080/19466315.2019.1697738>. However, the basic generation of data is done using pipes to allow maximum flexibility for users to meet different needs.
Author: Keaven Anderson [aut], Yujie Zhao [aut, cre], John Blischak [aut], Nan Xiao [ctb], Yilong Zhang [aut], Jianxiao Yang [ctb], Lili Ling [ctb], Xintong Li [ctb], Ruixue Wang [ctb], Yi Cui [ctb], Ping Yang [ctb], Yalin Zhu [ctb], Heng Zhou [ctb], Amin Sh [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

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Package shinychat updated to version 0.5.0 with previous version 0.4.0 dated 2026-06-01

Title: Chat UI Component for 'shiny'
Description: Provides a scrolling chat interface with multiline input, suitable for creating chatbot apps based on Large Language Models (LLMs). Designed to work particularly well with the 'ellmer' R package for calling LLMs.
Author: Joe Cheng [aut], Carson Sievert [aut], Garrick Aden-Buie [aut, cre] , Barret Schloerke [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>

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Package RFmstate updated to version 0.1.9 with previous version 0.1.2 dated 2026-03-11

Title: Random Forest-Based Multistate Survival Analysis
Description: Fits transition-specific cause-specific random survival forests on a clock-reset duration scale for acyclic, non-recurrent multistate processes. Entry-conditioned state-occupation probabilities are assembled from predicted cumulative hazards by semi-Markov entry-mass and sojourn convolution on a validated regular grid. The one-row-per-subject interface supports one common initial state, one recorded entry per state, baseline time-fixed covariates, competing exits, and independent right censoring. Left truncation, recurrent visits, directed cycles, time-dependent covariates, and ongoing-sojourn dynamic prediction are not supported. The package also provides calendar-time Aalen-Johansen point estimates as a covariate-free descriptive baseline, transition-specific permutation importance, genuine ranger edge OOB concordance, and patient-level cross-validated IPCW state-probability scoring. Methods are described in Ishwaran et al. (2008) <doi:10.1214/08-AOAS169> for random survival fo [...truncated...]
Author: Yiqing Chen [aut, cre]
Maintainer: Yiqing Chen <y.chen@tamu.edu>

Diff between RFmstate versions 0.1.2 dated 2026-03-11 and 0.1.9 dated 2026-09-09

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More information about RFmstate at CRAN
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Package netrics updated to version 1.0.3 with previous version 1.0.1 dated 2026-08-31

Title: Many Marks, Measures, Memberships, and Motifs for Networks
Description: Many tools for calculating network, node, or tie marks, measures, motifs and memberships of many different types of networks. Marks identify structural positions, measures quantify network properties, memberships classify nodes into groups, and motifs tabulate substructure participation. All functions operate with all classes of network data covered in 'manynet', and on directed, undirected, multiplex, multimodal, signed, and other networks.
Author: James Hollway [cre, aut, ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between netrics versions 1.0.1 dated 2026-08-31 and 1.0.3 dated 2026-09-09

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More information about netrics at CRAN
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Package bodycompref updated to version 2.0.2 with previous version 2.0.1 dated 2024-07-21

Title: Reference Values for CT-Assessed Body Composition
Description: Get z-scores, percentiles, absolute values, and percent of predicted of a reference cohort. Functionality requires installing the data packages 'adiposerefdata' and 'musclerefdata' from p-mq.github.io/drat. For more information on the underlying research, please visit our website which also includes a graphical interface. The models and underlying data are described in Marquardt J. Peter et al (2025), "Subcutaneous and Visceral adipose tissue Reference Values from Framingham Heart Study Thoracic and Abdominal CT", *Investigative Radiology* <doi:10.1097/RLI.0000000000001104> and Tonnesen PE et al. (2023), "Muscle Reference Values from Thoracic and Abdominal CT for Sarcopenia Assessment [column] The Framingham Heart Study", *Investigative Radiology*, <doi:10.1097/RLI.0000000000001012>.
Author: Dr. Peter Amin Marquardt [aut, cre]
Maintainer: Dr. Peter Amin Marquardt <peter@kmarquardt.de>

Diff between bodycompref versions 2.0.1 dated 2024-07-21 and 2.0.2 dated 2026-09-09

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New package winning with initial version 0.3.0
Package: winning
Title: Contest Win Probabilities and Ability Calibration
Version: 0.3.0
Description: Solves the horse race problem in both directions. Infers relative ability from win probabilities (or betting dividends) for contests whose entrants share a common performance distribution, with dead heats handled exactly, by the lattice fixed-point algorithm of Cotton (2021) <doi:10.1137/19M1276261>. Also computes all N win probabilities of a factor-structured Gaussian race (multinomial probit with low-rank-plus-diagonal covariance) in one shared-lattice pass of O(Q*N*L) operations, and inverts observed shares to abilities by a damped Newton method with analytic slopes. A dependency-free base-R port of the reference python package 'winning'. Performances are times: lowest wins.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/microprediction/winning
BugReports: https://github.com/microprediction/winning/issues
Suggests: mvtnorm, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-27 16:41:35 UTC; petercotton
Author: Peter Cotton [aut, cre]
Maintainer: Peter Cotton <peter.cotton@microprediction.com>
Repository: CRAN
Date/Publication: 2026-09-09 16:30:02 UTC

More information about winning at CRAN
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Package spEDM updated to version 1.13 with previous version 1.12 dated 2026-04-05

Title: Spatial Empirical Dynamic Modeling
Description: Inferring causation from spatial cross-sectional data through empirical dynamic modeling (EDM), with methodological extensions including geographical convergent cross mapping from Gao et al. (2023) <doi:10.1038/s41467-023-41619-6>, geographical cross mapping cardinality as introduced by Lyu et al. (2026) <doi:10.1080/13658816.2026.2687121>, as well as the spatial causality test following the approach of Herrera et al. (2016) <doi:10.1111/pirs.12144>, together with geographical pattern causality proposed in Zhang & Wang (2025) <doi:10.1080/13658816.2025.2581207>.
Author: Wenbo Lyu [aut, cre, cph]
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>

Diff between spEDM versions 1.12 dated 2026-04-05 and 1.13 dated 2026-09-09

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 spEDM-1.13/spEDM/src/Forecast4Grid.h                  |   26 
 spEDM-1.13/spEDM/src/GCCM4Grid.cpp                    |   16 
 spEDM-1.13/spEDM/src/GCCM4Grid.h                      |   12 
 spEDM-1.13/spEDM/src/GridExp.cpp                      |  318 ++++++++-
 spEDM-1.13/spEDM/src/LatticeExp.cpp                   |    8 
 spEDM-1.13/spEDM/src/Makevars                         |    4 
 spEDM-1.13/spEDM/src/Makevars.win                     |    4 
 spEDM-1.13/spEDM/src/RcppExports.cpp                  |  130 ++-
 spEDM-1.13/spEDM/src/SCPCM4Grid.cpp                   |   66 +-
 spEDM-1.13/spEDM/src/SCPCM4Grid.h                     |   22 
 spEDM-1.13/spEDM/src/SGC4Grid.cpp                     |   12 
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 spEDM-1.13/spEDM/vignettes/main2_ssr.Rmd              |  282 ++++----
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 96 files changed, 6992 insertions(+), 6572 deletions(-)

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New package shinygenui with initial version 0.1.0
Package: shinygenui
Title: Generative UI for 'shiny'
Version: 0.1.0
Description: Build interactive user interfaces for 'shiny' applications through a conversation with a large language model (LLM). Developers choose a set of reusable components, and the model arranges and updates those components as the user describes what they need. Each component's inputs are checked before it is shown, and the model supplies data rather than executable code. Applications can also save and replay the sequence of interface changes without contacting a model. For background on generative user interfaces, see Leviathan et al. (2026) <doi:10.48550/arXiv.2604.09577>.
License: MIT + file LICENSE
URL: https://nanx.me/shinygenui/, https://github.com/nanxstats/shinygenui
BugReports: https://github.com/nanxstats/shinygenui/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: bslib, cli, ellmer (>= 0.4.0), htmltools, jsonlite, promises, R6, rlang, shiny, shinychat (>= 0.4.0), stats, utils, whisker
Suggests: DT, ggplot2, knitr, rmarkdown, shinytest2, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-28 05:07:02 UTC; nanx
Author: Nan Xiao [aut, cre, cph]
Maintainer: Nan Xiao <me@nanx.me>
Repository: CRAN
Date/Publication: 2026-09-09 16:40:02 UTC

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New package rvisual with initial version 0.1.1
Package: rvisual
Title: Visual Data Analysis 'RStudio' 'Addin' with AI Copilot
Version: 0.1.1
Description: An 'RStudio' 'addin' providing a visual, point-and-click interface for data manipulation and analysis, designed for users transitioning from 'SPSS' to R. Every visual action generates clean, reproducible R code using 'tidyverse' conventions ('dplyr', 'tidyr'). Includes a context-aware AI copilot supporting multiple 'LLM' providers ('OpenAI', 'Anthropic' Claude, 'Google Gemini') with built-in proxy support and privacy controls.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Imports: shiny (>= 1.7.0), rstudioapi (>= 0.13), bslib (>= 0.5.0), htmltools, DT (>= 0.28), dplyr (>= 1.1.0), readxl (>= 1.4.0), jsonlite (>= 1.8.0), httr2 (>= 0.2.3), glue (>= 1.6.0), rlang (>= 1.1.0), DBI (>= 1.1.0), tools, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, haven, readr, writexl, RPostgres, RMySQL, ROracle, RSQLite, odbc
URL: https://github.com/facszero/rvisual
BugReports: https://github.com/facszero/rvisual/issues
NeedsCompilation: no
Packaged: 2026-08-28 14:49:25 UTC; fcanete
Author: Fernando Canete [aut, cre]
Maintainer: Fernando Canete <facs.zero@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 16:50:02 UTC

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New package NLIN with initial version 0.1.0
Package: NLIN
Title: Critical Points for Nonlinear Growth Models
Version: 0.1.0
Description: Computes analytical critical points for nonlinear growth models from known parameter values.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
URL: https://github.com/helleensilvaa/NLIN
BugReports: https://github.com/helleensilvaa/NLIN/issues
NeedsCompilation: no
Packaged: 2026-08-27 18:52:35 UTC; helle
Author: Hellen Sonaly Silva Alves [aut, cre]
Maintainer: Hellen Sonaly Silva Alves <hellensilva.estat@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 16:30:07 UTC

More information about NLIN at CRAN
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Package NetInt updated to version 1.0.2 with previous version 1.0.1 dated 2025-05-03

Title: Methods for Unweighted and Weighted Network Integration
Description: Implementation of network integration approaches comprising unweighted and weighted integration methods. Unweighted integration is performed considering the average, per-edge average, maximum and minimum of networks edges. Weighted integration takes into account a weight for each network during the fusion process, where the weights express the ''predictiveness strength'' of each network considering a specific predictive task. Weights can be learned using a machine learning algorithm able to associate the weights to the assessment of the accuracy of the learning algorithm trained on the network itself. The implemented methods can be applied to effectively integrate different biological networks modelling a wide range of problems in bioinformatics (e.g. disease gene prioritization, protein function prediction, drug repurposing, clinical outcome prediction).
Author: Giorgio Valentini [aut], Jessica Gliozzo [cre]
Maintainer: Jessica Gliozzo <jessica.gliozzo@gmail.com>

Diff between NetInt versions 1.0.1 dated 2025-05-03 and 1.0.2 dated 2026-09-09

 DESCRIPTION |   12 ++++++------
 MD5         |    2 +-
 2 files changed, 7 insertions(+), 7 deletions(-)

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Package hopkins updated to version 1.2 with previous version 1.1 dated 2023-08-20

Title: Calculate Hopkins Statistic for Clustering
Description: Calculate Hopkins statistic to assess the clusterability of data. See Wright (2023) <doi:10.32614/RJ-2022-055>.
Author: Kevin Wright [aut, cre, cph]
Maintainer: Kevin Wright <kw.stat@gmail.com>

Diff between hopkins versions 1.1 dated 2023-08-20 and 1.2 dated 2026-09-09

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New package HDElliptical with initial version 0.1.2
Package: HDElliptical
Title: High-Dimensional Methods for Elliptically Symmetric Distributions
Version: 0.1.2
Description: Fast, documented implementations of robust estimation, testing, dimension reduction, classification, and clustering methods for high-dimensional elliptically symmetric data. Computational kernels use 'Rcpp' and 'RcppArmadillo'. The package follows methods reviewed in Feng (2026), "High-Dimensional Data Analysis for Elliptically Symmetric Distributions" <https://github.com/flnankai/HDElliptical/releases>.
License: MIT + file LICENSE
URL: https://github.com/flnankai/HDElliptical
BugReports: https://github.com/flnankai/HDElliptical/issues
Depends: R (>= 4.2.0)
Imports: mvtnorm, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
SystemRequirements: C++17
Packaged: 2026-08-27 14:42:59 UTC; flnankai
Author: Long Feng [aut, cre, cph] , Dan Zhuang [ctb]
Maintainer: Long Feng <flnankai@nankai.edu.cn>
Repository: CRAN
Date/Publication: 2026-09-09 16:30:14 UTC

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New package datacaged with initial version 0.2.1
Package: datacaged
Title: CAGED Microdata Download and Storage in 'DuckDB'
Version: 0.2.1
Description: Tools to download, parse, and store Brazilian CAGED (Cadastro Geral de Empregados e Desempregados) microdata using 'DuckDB'. Supports both legacy CAGED (pre-2020), Novo CAGED (2020+), and adjustment files, enabling efficient local storage and analysis workflows. Data is sourced from the HuggingFace repository <https://huggingface.co/datasets/alexsandroprado/caged>.
SystemRequirements: 7-Zip (optional, required for PPMd-compressed files from CAGED antigo and CAGED Ajustes)
Depends: R (>= 4.2.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
Date: 2026-08-26
Imports: archive, cli, DBI, dplyr, duckdb, future, furrr, glue, httr2 (>= 1.0.0), progressr, purrr, readr (>= 2.1.0), stringr, tibble, tools, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, dbplyr
VignetteBuilder: knitr
URL: https://github.com/gecomt/datacaged
BugReports: https://github.com/gecomt/datacaged/issues
NeedsCompilation: no
Packaged: 2026-08-27 21:57:03 UTC; alexsandro
Author: Alexsandro Prado [aut, cre]
Maintainer: Alexsandro Prado <alexsandro.prado@ufersa.edu.br>
Repository: CRAN
Date/Publication: 2026-09-09 16:40:07 UTC

More information about datacaged at CRAN
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Package btw updated to version 1.5.0 with previous version 1.4.0 dated 2026-08-05

Title: A Toolkit for Connecting R and Large Language Models
Description: A complete toolkit for connecting 'R' environments with Large Language Models (LLMs). Provides utilities for describing 'R' objects, package documentation, and workspace state in plain text formats optimized for LLM consumption. Supports multiple workflows: interactive copy-paste to external chat interfaces, programmatic tool registration with 'ellmer' chat clients, batteries-included chat applications via 'shinychat', and exposure to external coding agents through the Model Context Protocol. Project configuration files enable stable, repeatable conversations with project-specific context and preferred LLM settings.
Author: Garrick Aden-Buie [aut, cre] , Simon Couch [aut] , Joe Cheng [aut], Posit Software, PBC [cph, fnd], Google [cph] , Microsoft [cph] , Jamie Perkins [cph]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>

Diff between btw versions 1.4.0 dated 2026-08-05 and 1.5.0 dated 2026-09-09

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 tests/testthat/test-tool-cran.R                        |  135 ++
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 86 files changed, 3104 insertions(+), 1779 deletions(-)

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New package BOLDNODE with initial version 1.0.0
Package: BOLDNODE
Title: Search and Explore BOLD Data Packages Efficiently
Version: 1.0.0
Description: Provides efficient tools for exploring and transforming the Barcode of Life Data Systems (BOLD) data packages on local machines. It enables fast local querying of the data packages without relying on live API calls. Results can be easily converted into formats compatible with widely used R packages and third party tools.
License: CC BY 4.0
Encoding: UTF-8
Imports: data.table, DBI, dbplyr, dplyr, duckdb, progressr, rlang, sf, tidyr
Suggests: ape, Biostrings, BiocManager, knitr, rmarkdown, DT, ggplot2, ggrepel, maps, muscle, pak, phangorn, tibble, vegan
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-27 19:13:48 UTC; sameerpadhye
Author: Sameer Padhye [aut, cre], Spencer K. Monckton [aut], Dirk Steinke [ctb], Jireh Agda [ctb], Teresita M. Porter [ctb]
Maintainer: Sameer Padhye <spadhye@uoguelph.ca>
Repository: CRAN
Date/Publication: 2026-09-09 16:30:31 UTC

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New package xaci with initial version 0.1.0
Package: xaci
Title: Actuarial Climate Index
Version: 0.1.0
Description: Computes the Actuarial Climate Index (ACI) and its components (temperature, precipitation, drought, wind, sea level) from gridded climate data ('NetCDF') and tide gauge records. Implements the methodology described in Garrido, Milhaud & Olympio (2025) <https://hal.science/hal-04491982v2> for a French/European actuarial climate index, building on the American Academy of Actuaries framework, to any country in the world.
License: MIT + file LICENSE
URL: https://github.com/XavierMilhaud/xaci
BugReports: https://github.com/XavierMilhaud/xaci/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ncdf4 (>= 1.19), dplyr (>= 1.1), zoo (>= 1.8), readr (>= 2.1), ggplot2 (>= 3.4.0), tidyr, sf, rnaturalearth, geodata, terra, units, parallel
Suggests: testthat (>= 3.0.0), patchwork (>= 1.1.0), ecmwfr (>= 2.0.0), rnaturalearthdata, gganimate, gifski, knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-08-13 12:09:40 UTC; XM
Author: Xavier Milhaud [aut, cre, ctb], Dabakh Kane [ctb], Esteban Mauboussin [ctb]
Maintainer: Xavier Milhaud <xavier.milhaud.research@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 15:20:02 UTC

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New package tulpa with initial version 0.2.0
Package: tulpa
Title: Template Unified Latent Process Architecture for Bayesian Hierarchical Models
Version: 0.2.0
Description: A general-purpose engine for fitting Bayesian hierarchical models with spatial fields, temporal effects, spatially varying coefficients, and multiple inference backends. Scalable spatial structure includes Hilbert space approximate Gaussian processes (HSGP; Riutort-Mayol et al. 2023 <doi:10.1007/s11222-022-10167-2>), nearest-neighbor Gaussian processes (NNGP; Datta et al. 2016 <doi:10.1080/01621459.2015.1044091>), intrinsic conditional autoregressive models (ICAR; Besag, York, and Mollie 1991 <doi:10.1007/BF00116466>), the reparameterized Besag-York-Mollie model (BYM2; Riebler et al. 2016 <doi:10.1177/0962280216660421>), and stochastic partial differential equation fields (SPDE; Lindgren, Rue, and Lindstrom 2011 <doi:10.1111/j.1467-9868.2011.00777.x>). Temporal structure covers random walks, autoregressive processes, and Gaussian processes. Inference is tiered by correctness guarantee: exact Hamiltonian Monte Carlo with the No-U-Turn sampler, Laplace and n [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
SystemRequirements: C++17
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.12), Matrix, tulpaMesh (>= 0.1.3), generics, lifecycle, stats, tools, utils, methods, graphics, grDevices
Suggests: testthat (>= 3.0.0), bayesplot, ggplot2, sf, terra, knitr, rmarkdown, posterior (>= 1.5.0), loo (>= 2.7.0), rstantools, lme4, nlme, lmtest, numDeriv, spdep, MASS, betareg, glmmTMB, pscl, tweedie, fmesher, patchwork, stars, statmod, withr
LinkingTo: Rcpp, RcppEigen, Matrix
VignetteBuilder: knitr
URL: https://github.com/gcol33/tulpa, https://gillescolling.com/tulpa/
BugReports: https://github.com/gcol33/tulpa/issues
NeedsCompilation: yes
Packaged: 2026-08-27 23:30:17 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph] , Frances Y. Kuo [ctb, cph] , Stephen Joe [ctb, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 15:30:02 UTC

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New package SpatMix with initial version 0.1.0
Package: SpatMix
Title: Spatial Mixture Models for Clustering
Version: 0.1.0
Description: Fits spatial mixture models, including spatial Gaussian mixtures and mixtures of spatial factor analyzers, to complete or incomplete data. Spatial decay can be represented by monotone I-splines or a normalized sigmoid. Missing entries are handled using a built-in partial expectation-maximization procedure for matrix-variate data. The spatial covariance and spatial factor analyzer models are described in Lu and colleagues (2026a) "Spatial Covariance Constraints for Gaussian Mixture Models" <doi:10.48550/arXiv.2601.07979> and Lu and colleagues (2026b) "Mixtures of spatial factor analyzers for tensor-variate data" <doi:10.48550/arXiv.2607.07887>.
License: MIT + file LICENSE
URL: https://github.com/LHZMix/SpatMix
BugReports: https://github.com/LHZMix/SpatMix/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: MASS, matrixStats, Rcpp, splines2, stats, withr
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-08-27 23:20:46 UTC; Hanzhang
Author: Hanzhang Lu [aut, cre], Jeffrey L. Andrews [aut, ths]
Maintainer: Hanzhang Lu <hanzhang.lu@ubc.ca>
Repository: CRAN
Date/Publication: 2026-09-09 15:30:19 UTC

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Package rwetools updated to version 0.5.0 with previous version 0.4.0 dated 2026-08-01

Title: Estimating Propensity Scores (PS), PS-Based Weights, and Effects
Description: Toolbox that provides a streamlined, end-to-end workflow for propensity score analysis in generating real-world evidence from real-world data. The package covers the full analytic pipeline - from estimating propensity scores via logistic regression, to calculating weights or creating a matched cohort, to generating publication-ready Table 1s with standardized mean differences and weighted balance diagnostics. It also estimates incidence rates, rate differences and rate ratios, hazard ratios, risks, risk ratios, and risk differences, including competing-risk methods and optionally stratified hazard models. Many functions can write formatted 'Excel' reports with method documentation, making results immediately shareable with collaborators and stakeholders. Methods are based on Rosenbaum and Rubin (1983) <doi:10.1093/biomet/70.1.41>, Austin (2011) <doi:10.1080/00273171.2011.568786>, and Desai et al. (2017) <doi:10.1097/EDE.0000000000000595>.
Author: Hanseul Cho [aut, cre], Georg Hahn [aut], Janinne Ortega-Montiel [aut], Julie Paik [aut], Elisabetta Patorno [aut]
Maintainer: Hanseul Cho <hanseul0618@gmail.com>

Diff between rwetools versions 0.4.0 dated 2026-08-01 and 0.5.0 dated 2026-09-09

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Package RKorAPClient updated to version 1.4.0 with previous version 1.3.0 dated 2026-08-31

Title: 'KorAP' Web Service Client Package
Description: A client package that makes the 'KorAP' web service API accessible from R. The corpus analysis platform 'KorAP' has been developed as a scientific tool to make potentially large, stratified and multiply annotated corpora, such as the 'German Reference Corpus DeReKo' or the 'Corpus of the Contemporary Romanian Language CoRoLa', accessible for linguists to let them verify hypotheses and to find interesting patterns in real language use. The 'RKorAPClient' package provides access to 'KorAP' and the corpora behind it for user-created R code, as a programmatic alternative to the 'KorAP' web user-interface. You can learn more about 'KorAP' and use it directly on 'DeReKo' at <https://korap.ids-mannheim.de/>.
Author: Marc Kupietz [aut, cre], Nils Diewald [ctb], Leibniz Institute for the German Language [cph, fnd]
Maintainer: Marc Kupietz <kupietz@ids-mannheim.de>

Diff between RKorAPClient versions 1.3.0 dated 2026-08-31 and 1.4.0 dated 2026-09-09

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Package mRpostman updated to version 3.0.0 with previous version 1.4.0 dated 2026-07-28

Title: An IMAP Client for R
Description: A session-based IMAP client that implements the full command sets of the IMAP4rev2 (RFC 9051) and IMAP4rev1 (RFC 3501) protocols, along with the optional extensions registered with the Internet Assigned Numbers Authority, allowing virtually all e-mail operations to be performed from within R, paving the way for e-mail data analysis.
Author: Allan Quadros [aut, cre] , Paul Smith [ctb], Kurt Hornik [ctb]
Maintainer: Allan Quadros <allanvcq@gmail.com>

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Package hdMTD updated to version 0.1.5 with previous version 0.1.4 dated 2025-12-18

Title: Inference for High-Dimensional Mixture Transition Distribution Models
Description: Estimates parameters in Mixture Transition Distribution (MTD) models, a class of high-order Markov chains. The set of relevant pasts (lags) is selected using either the Bayesian Information Criterion or the Forward Stepwise and Cut algorithms. Other model parameters (e.g. transition probabilities and oscillations) can be estimated via maximum likelihood estimation or the Expectation-Maximization algorithm. Additionally, 'hdMTD' includes a perfect sampling algorithm that generates samples of an MTD model from its invariant distribution. For theory, see Ost & Takahashi (2023) <http://jmlr.org/papers/v24/22-0266.html>.
Author: Maiara Gripp [aut, cre], Guilherme Ost [ths], Giulio Iacobelli [ths]
Maintainer: Maiara Gripp <maiara@dme.ufrj.br>

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Package dccmidas updated to version 0.1.3 with previous version 0.1.2 dated 2024-02-21

Title: DCC Models with GARCH and GARCH-MIDAS Specifications in the Univariate Step, RiskMetrics, Moving Covariance and Scalar and Diagonal BEKK Models
Description: Estimates a variety of Dynamic Conditional Correlation (DCC) models. More in detail, the 'dccmidas' package allows the estimation of the corrected DCC (cDCC) of Aielli (2013) <doi:10.1080/07350015.2013.771027>, the DCC-MIDAS of Colacito et al. (2011) <doi:10.1016/j.jeconom.2011.02.013>, the Asymmetric DCC of Cappiello et al. <doi:10.1093/jjfinec/nbl005>, and the Dynamic Equicorrelation (DECO) of Engle and Kelly (2012) <doi:10.1080/07350015.2011.652048>. 'dccmidas' offers the possibility of including standard GARCH <doi:10.1016/0304-4076(86)90063-1>, GARCH-MIDAS <doi:10.1162/REST_a_00300> and Double Asymmetric GARCH-MIDAS <doi:10.1016/j.econmod.2018.07.025> models in the univariate estimation. Moreover, also the scalar and diagonal BEKK <doi:10.1017/S0266466600009063> models can be estimated. Finally, the package calculates also the var-cov matrix under two non-parametric models: the Moving Covariance and the RiskMetrics specifications.
Author: Vincenzo Candila [aut, cre]
Maintainer: Vincenzo Candila <vcandila@unisa.it>

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Package wishmom updated to version 1.2.0 with previous version 1.1.0 dated 2024-08-27

Title: Compute Moments Related to Beta-Wishart and Inverse Beta-Wishart Distributions
Description: Provides functions for computing moments and coefficients related to the Beta-Wishart and Inverse Beta-Wishart distributions. It includes functions for calculating the expectation of matrix-valued functions of the Beta-Wishart distribution, coefficient matrices C_k and H_k, expectation of matrix-valued functions of the inverse Beta-Wishart distribution, and coefficient matrices \tilde{C}_k and \tilde{H}_k. For more details, refer Hillier and Kan (2024) <https://www-2.rotman.utoronto.ca/~kan/papers/wishmom.pdf>, "On the Expectations of Equivariant Matrix-valued Functions of Wishart and Inverse Wishart Matrices".
Author: Raymond Kan [aut, cre], Preston Liang [aut]
Maintainer: Raymond Kan <raymond.kan@rotman.utoronto.ca>

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Package shrinkGPR updated to version 2.1.0 with previous version 2.0.0 dated 2026-03-30

Title: Scalable Gaussian Process Regression with Hierarchical Shrinkage Priors
Description: Efficient variational inference methods for fully Bayesian univariate and multivariate Gaussian and t-process regression models. Hierarchical shrinkage priors, including the triple gamma prior, are used for effective variable selection and covariance shrinkage in high-dimensional settings. The package leverages normalizing flows to approximate complex posterior distributions. For details on implementation, see Knaus (2025) <doi:10.48550/arXiv.2501.13173>.
Author: Peter Knaus [aut, cre]
Maintainer: Peter Knaus <peter.knaus@wu.ac.at>

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New package PricingBandits with initial version 2.0.0
Package: PricingBandits
Title: Multi-Armed Bandit Approaches to Pricing Experiments
Version: 2.0.0
Description: Implements multi-armed bandit approaches for pricing experiments with an unknown demand curve, as developed in Weaver, Kumar, and Jain, "Nonparametric Pricing Bandits Leveraging Informational Externalities to Learn the Demand Curve" <doi:10.1287/mksc.2022.0247>. Includes Upper Confidence Bound (UCB) and Thompson Sampling (TS) baselines, Gaussian process variants ('GP-UCB', 'GP-TS'), monotonic Gaussian process variants that constrain demand to be weakly decreasing in price, and heterogeneous-noise extensions. The willingness-to-pay distribution is fully user-specified via a vector of consumer valuations, so any demand environment can be simulated or replayed.
License: MIT + file LICENSE
URL: https://github.com/ian-weaver/PricingBandits
BugReports: https://github.com/ian-weaver/PricingBandits/issues
Encoding: UTF-8
Imports: stats, Matrix, hash, nloptr, MASS, dplyr, TruncatedNormal, R.utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-27 09:08:30 UTC; ithew
Author: Ian N. Weaver [aut, cre], Vineet Kumar [aut], Lalit Jain [aut]
Maintainer: Ian N. Weaver <weaver.n.ian@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-09-09 14:30:02 UTC

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Package gSeg updated to version 1.1 with previous version 1.0 dated 2020-09-24

Title: Graph-Based Change-Point Detection (g-Segmentation)
Description: Uses similarity graphs to estimate change-points and their p-values. The default data-level interface constructs a k-MST with k=floor(sqrt(N)) and reports the max-type scan. The generalized, original, and weighted scans remain available explicitly.
Author: Hao Chen [aut, cre] , Nancy R. Zhang [aut], Lynna Chu [aut], Hoseung Song [aut]
Maintainer: Hao Chen <hxchen@ucdavis.edu>

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Package goldilocks updated to version 1.0.0 with previous version 0.6.0 dated 2026-07-29

Title: Adaptive Trial Designs for Survival and Binary Endpoints
Description: Implements Goldilocks adaptive trial designs for time-to-event and fixed-time binary endpoints. Outcomes are generated with a piecewise exponential model, with conjugate Gamma priors used for predictive imputation. Final analyses may use log-rank, Cox, or restricted mean survival time tests, Bayesian piecewise-exponential inference, frequentist risk differences, or Bayesian beta-binomial inference. The method closely follows Broglio and colleagues (2014) <doi:10.1080/10543406.2014.888569> and supports simulation of design operating characteristics.
Author: Graeme L. Hickey [aut, cre] , Ying Wan [aut], Thevaa Chandereng [aut] , Becton, Dickinson and Company [cph], Tim Kacprowski [ctb]
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>

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Package fitdistrBayes updated to version 0.2.3 with previous version 0.2.2 dated 2026-08-29

Title: Objective Bayesian Distribution Fitting
Description: Fits common univariate distributions using registered objective Bayesian priors, including Jeffreys, reference, and maximal data information priors, and supports user-defined distributions and priors through an extensible model specification. Model-specific posterior propriety and moment conditions are checked before computation when registered or supplied. Exact simulation, marginalization, slice sampling, adaptive Metropolis, and user-supplied posterior samplers share a common interface for summaries, diagnostics, prediction, and pointwise log-likelihood evaluation. The reference-prior framework follows Bernardo (1979) <doi:10.1111/j.2517-6161.1979.tb01066.x>.
Author: Pedro Luiz Ramos [aut, cre, cph]
Maintainer: Pedro Luiz Ramos <pedro.ramos@uc.cl>

Diff between fitdistrBayes versions 0.2.2 dated 2026-08-29 and 0.2.3 dated 2026-09-09

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New package FeNEU with initial version 3.0.2
Package: FeNEU
Title: Routines for Evaluating Forest Inventory Data
Version: 3.0.2
Date: 2026-08-27
Description: Provides a collection of routines for evaluating data from larger forest management units, typically sample inventories, but also stand-wise inventories. The idea is to support modern forest planning approaches and to be open by design to new data sources and evaluation methods. For the methodological background of forest inventories see Kangas and Maltamo (2006) "Forest Inventory: Methodology and Applications" <doi:10.1007/1-4020-4381-3>.
License: AGPL (>= 3)
Encoding: UTF-8
Imports: tibble, dplyr, purrr, rlang, Rdpack, tidyr, readr, ggplot2, tidyselect (>= 1.2.0), foreach, doSNOW, lifecycle, parallel, progressr, stringr, stringdist, sf
Depends: R (>= 4.4), ForestElementsR (>= 3.0.0)
Suggests: knitr, kableExtra, rmarkdown, tinytex, testthat (>= 3.0.0)
SystemRequirements: pandoc (>= 1.12.3) and a LaTeX distribution (e.g. TinyTeX, see ?tinytex::install_tinytex) with the booktabs, longtable, siunitx, and makecell LaTeX packages are required for the *_pdf() output functions.
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-27 16:15:25 UTC; casto
Author: Peter Biber [aut, cre] , Astor Torano Caicoya [aut]
Maintainer: Peter Biber <peter.biber@lwf.bayern.de>
Repository: CRAN
Date/Publication: 2026-09-09 15:00:10 UTC

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New package farmPartial with initial version 0.1.0
Package: farmPartial
Title: Tools for Farm Partial-Budget Analysis
Version: 0.1.0
Description: Provides tools for evaluating the incremental economic consequences of a proposed farm-management change using partial-budget logic. Functions organize added returns, reduced costs, added costs, and reduced returns; compare baseline and alternative budgets; calculate net changes and marginal rates of return; conduct one- and two-way sensitivity, scenario, break-even, dominance, marginal, and Monte Carlo uncertainty analyses; and convert capital changes to annual equivalents. The framework follows the approach described by the International Maize and Wheat Improvement Center (1988, ISBN: 968-6127-19-4) for farm-management, extension, and on-farm research.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: graphics, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-27 10:24:01 UTC; majum
Author: Chiranjit Mazumder [aut, cre, cph], Utkarsh Tiwari [aut, cph], Anbukkani Perumal [aut, cph]
Maintainer: Chiranjit Mazumder <chiranjit@iari.res.in>
Repository: CRAN
Date/Publication: 2026-09-09 14:40:10 UTC

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New package erplots with initial version 0.1.2
Package: erplots
Title: Model-Agnostic Exposure-Response Plots
Version: 0.1.2
Description: Provides a fluent mini-language for building exposure-response plots (model curves/ribbons, quantile-binned summaries, data strips, and grouped distribution panels) from observed data and a fitted exposure-response model. Designed to be model-agnostic: any model object that implements the er_predict() generic (and, optionally, er_simulate() and er_summary()) can be visualised.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Imports: dplyr (>= 1.1.0), ggplot2 (>= 4.0.0), patchwork (>= 1.3.2), purrr, rlang, scales, stats, tibble, tidyselect, withr
Suggests: erglm, hexbin, knitr, MASS, mvtnorm, rmarkdown, spelling, testthat (>= 3.0.0)
URL: https://github.com/djnavarro/erplots, https://erplots.djnavarro.net/
BugReports: https://github.com/djnavarro/erplots/issues
Depends: R (>= 4.1.0)
LazyData: true
Language: en-GB
NeedsCompilation: no
Packaged: 2026-08-27 12:29:52 UTC; danielle
Author: Danielle Navarro [aut, cre]
Maintainer: Danielle Navarro <djnavarro@protonmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 15:00:02 UTC

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New package ERBioR with initial version 0.9.0
Package: ERBioR
Title: Reproducible Occupational Biological Risk Assessment with the ERBio Method
Version: 0.9.0
Description: A source-traceable computational implementation of the ERBio method for occupational biological risk assessment. It provides deterministic risk calculation, versioned questionnaires, a scientifically audited regulatory biological-agent registry, workplace-level assessment, preventive planning outputs, bilingual Spanish-English functionality and reproducible reports. The software preserves a single language-neutral calculation core and keeps method-faithful components distinct from explicit computational extensions. The underlying ERBio method was developed by Aguilar-Elena and is described in Aguilar-Elena (2015) <doi:10.5281/zenodo.22107465>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: utils
Suggests: testthat (>= 3.0.0), shiny, DT, readxl, openxlsx
NeedsCompilation: no
Packaged: 2026-08-27 15:21:38 UTC; okashi
Author: Raul Aguilar-Elena [aut, cre] , Ana Delgado-Garcia [aut]
Maintainer: Raul Aguilar-Elena <raguilar@universidadviu.com>
Repository: CRAN
Date/Publication: 2026-09-09 14:50:26 UTC

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New package epistandardiseR with initial version 0.0.2
Package: epistandardiseR
Title: Tools for Direct Standardisation with Confidence Intervals
Version: 0.0.2
Description: Provides tools to compute directly standardised rates using the 2013 European Standard Population for age and deprivation-standardised rates using a 10% per decile assumption. Sex standardisation uses an assumed equal proportion of both males and females. The package Includes variance estimation and 95% confidence intervals for population health applications. Functions support flexible grouping variables and age bands, enabling reproducible and automated analyses.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, rlang, magrittr, stats, tidyr
Depends: R (>= 3.5)
URL: https://github.com/JoeBlackford/epistandardiseR
BugReports: https://github.com/JoeBlackford/epistandardiseR/issues
NeedsCompilation: no
Packaged: 2026-08-28 08:39:04 UTC; Joe.Blackford
Author: Joe Blackford [aut, cre]
Maintainer: Joe Blackford <joseph.blackford@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-09 14:40:16 UTC

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New package ducklake with initial version 0.6.0
Package: ducklake
Title: Interact with 'DuckLake' from R
Version: 0.6.0
Description: A 'tidyverse'-friendly interface to 'DuckLake' <https://ducklake.select/>, the 'DuckDB' lakehouse format. Attach versioned data lakes from R and work with them using familiar 'dplyr' verbs, with support for ACID transactions, time travel queries, snapshot audit trails, data inlining, encrypted storage, multiple catalog backends ('DuckDB', 'PostgreSQL', 'SQLite', 'MySQL'), and remote access over the 'Quack' protocol from 'DuckDB'.
License: MIT + file LICENSE
URL: https://tgerke.github.io/ducklake-r/, https://github.com/tgerke/ducklake-r
BugReports: https://github.com/tgerke/ducklake-r/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, DBI, dbplyr (>= 2.5.0), dplyr, duckdb (>= 1.5.1)
Suggests: admiral, DiagrammeR, fs, ggplot2, jsonlite, knitr, lubridate, pharmaversesdtm, purrr, rmarkdown, spelling, stringr, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-08-27 14:26:06 UTC; tgerke
Author: Travis Gerke [aut, cre], Stefan Linner [ctb], Javier Orraca-Deatcu [ctb]
Maintainer: Travis Gerke <travisgerke@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 14:50:02 UTC

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Package ccda readmission to version 1.2 with previous version 1.1.1 dated 2019-10-02

Title: Combined Cluster and Discriminant Analysis
Description: Implements the combined cluster and discriminant analysis method for finding homogeneous groups of data with known origin as described in Kovacs et. al (2014): Classification into homogeneous groups using combined cluster and discriminant analysis (CCDA). Environmental Modelling & Software. <doi:10.1016/j.envsoft.2014.01.010>.
Author: Solt Kovacs [aut], Jozsef Kovacs [aut], Peter Tanos [aut, cre]
Maintainer: Peter Tanos <tanospeter@gmail.com>

This is a re-admission after prior archival of version 1.1.1 dated 2019-10-02

Diff between ccda versions 1.1.1 dated 2019-10-02 and 1.2 dated 2026-09-09

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New package cfbseedR with initial version 0.2.0
Package: cfbseedR
Title: Simulate and Evaluate College Football Seasons
Version: 0.2.0
Description: Simulate college football seasons and compute standings, conference ranks, conference champions, and College Football Playoff (CFP) seeds. Implements the official season-scoped championship-game tiebreaker procedure of each Football Bowl Subdivision (FBS) conference and the CFP's season-keyed automatic-qualifier policies, including the 2026 formats. Seasons are simulated week by week with a pluggable results generator, and external tiebreaker inputs such as committee rankings or analytics composites can be supplied. Adapts the approach of the 'nflseedR' package by Sebastian Carl and Lee Sharpe to college football semantics.
License: MIT + file LICENSE
URL: https://cfbseedR.sportsdataverse.org, https://github.com/sportsdataverse/cfbseedR
BugReports: https://github.com/sportsdataverse/cfbseedR/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr (>= 1.1.0), furrr, future, progressr, purrr, rlang, stats, tibble, tidyr, utils
Suggests: cfbfastR, gt (>= 0.9.0), knitr, rmarkdown, scales (>= 1.2.0), testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-27 11:12:56 UTC; saiem
Author: Saiem Gilani [cre, aut, cph] , Sebastian Carl [aut] , Lee Sharpe [aut]
Maintainer: Saiem Gilani <saiem.gilani@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 14:50:11 UTC

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Package bayestestR updated to version 0.19.0 with previous version 0.18.1 dated 2026-05-24

Title: Understand and Describe Bayesian Models and Posterior Distributions
Description: Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors). References: Makowski et al. (2021) <doi:10.21105/joss.01541>.
Author: Dominique Makowski [aut, cre] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Micah K. Wilson [aut] , Brenton M. Wiernik [aut] , Paul-Christian Buerkner [rev], Tristan Mahr [rev] , Henrik Singmann [ctb] , Quentin F. Gron [...truncated...]
Maintainer: Dominique Makowski <officialeasystats@gmail.com>

Diff between bayestestR versions 0.18.1 dated 2026-05-24 and 0.19.0 dated 2026-09-09

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New package apsimeval with initial version 0.1.0
Package: apsimeval
Title: Evaluation, Visualisation and Sensitivity Analysis of 'APSIM' Classic Output
Version: 0.1.0
Description: Reads Agricultural Production Systems sIMulator ('APSIM') Classic 7.x '.out' files, pairs simulated series with sparse observed measurements, and computes the goodness-of-fit statistics used in crop-model calibration and validation, including the decomposition of root mean squared error into systematic and unsystematic components. Produces publication grade figures with 'ggplot2': one-to-one scatter plots, residual and Taylor diagrams, probability of exceedance curves, multi-variable timelines with a secondary axis, and distribution plots, assembled into multi-panel figures at journal column widths in colour, greyscale or line art. Treatment structure encoded in simulation names is parsed into factor columns, and the sensitivity of an output to those factors is quantified by variance decomposition, one-at-a-time analysis or range screening. A built-in 'shiny' interface watches the output directory and refreshes incrementally as 'APSIM' regenerates its files.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), stats, utils, tools, grDevices
Suggests: patchwork, shiny, DT, bslib, yaml, readxl, multcompView, testthat (>= 3.0.0), knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2026-08-27 07:30:59 UTC; root
Author: Sukamal Sarkar [aut, cre]
Maintainer: Sukamal Sarkar <sukamal.sarkar@gm.rkmvu.ac.in>
Repository: CRAN
Date/Publication: 2026-09-09 14:10:24 UTC

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New package agriME with initial version 0.1.0
Package: agriME
Title: Agricultural Marketing Efficiency and Price Spread Analysis
Version: 0.1.0
Description: Provides reproducible tools for analysing agricultural marketing channels, price spread, the producer's share in the consumer price, intermediary costs and margins, and alternative indices of marketing efficiency. Implements conventional, Shepherd, and Acharya measures; validates stage-level channel accounts; compares and ranks channels; and supplies bootstrap confidence intervals, scenario sensitivity analysis, loss-adjusted margins, break-even calculations, and base-graphics methods. Methodological context is provided by Acharya and Agarwal (2021, ISBN:9789389688061) and Shepherd (2007) <https://www.fao.org/4/u8770e/u8770e00.htm>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
NeedsCompilation: no
Imports: stats
Packaged: 2026-08-27 09:23:23 UTC; majum
Author: Chiranjit Mazumder [aut, cre], Bikramjeet Ghose [aut], Pramit Pandit [aut]
Maintainer: Chiranjit Mazumder <chiranjit@iari.res.in>
Repository: CRAN
Date/Publication: 2026-09-09 14:20:08 UTC

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Package scROSHI updated to version 1.0.0.1 with previous version 1.0.0.0 dated 2023-01-10

Title: Robust Supervised Hierarchical Identification of Single Cells
Description: Identifying cell types based on expression profiles is a pillar of single cell analysis. 'scROSHI' identifies cell types based on expression profiles of single cell analysis by utilizing previously obtained cell type specific gene sets. It takes into account the hierarchical nature of cell type relationship and does not require training or annotated data. A detailed description of the method can be found at: Michael Prummer, Anne Bertolini, Lars Bosshard, Florian Barkmann, Josephine Yates, Valentina Boeva, The Tumor Profiler Consortium , Daniel Stekhoven, Franziska Singer, scROSHI: robust supervised hierarchical identification of single cells, NAR Genomics and Bioinformatics, Volume 5, Issue 2, June 2023, lqad058, <doi:10.1093/nargab/lqad058>.
Author: Lars Bosshard [aut] , Dominik Burri [aut, cre] , Michael Prummer [aut]
Maintainer: Dominik Burri <burri@nexus.ethz.ch>

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Package hBayesDM updated to version 2.0.1 with previous version 2.0.0 dated 2026-09-01

Title: Hierarchical Bayesian Modeling of Decision-Making Tasks
Description: Fit an array of decision-making tasks with computational models in a hierarchical Bayesian framework. Can perform hierarchical Bayesian analysis of various computational models with a single line of coding (Ahn et al., 2017) <doi:10.1162/CPSY_a_00002>.
Author: Woo-Young Ahn [aut, cre], Nate Haines [aut], Lei Zhang [aut], Jinwoo Jeong [ctb], Harhim Park [ctb], Jaeyeong Yang [ctb], Jethro Lee [ctb]
Maintainer: Woo-Young Ahn <wooyoung.ahn@gmail.com>

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Package douconca updated to version 1.2.6 with previous version 1.2.5.1 dated 2026-08-24

Title: Double Constrained Correspondence Analysis for Trait-Environment Analysis in Ecology
Description: Double constrained correspondence analysis (dc-CA) analyzes (multi-)trait (multi-)environment ecological data by using the 'vegan' package and native R code. Throughout the two step algorithm of ter Braak et al. (2018) is used. This algorithm combines and extends community- (sample-) and species-level analyses, i.e. the usual community weighted means (CWM)-based regression analysis and the species-level analysis of species-niche centroids (SNC)-based regression analysis. The two steps use canonical correspondence analysis to regress the abundance data on to the traits and (weighted) redundancy analysis to regress the CWM of the orthonormalized traits on to the environmental predictors. The function dc_CA() has an option to divide the abundance data of a site by the site total, giving equal site weights. This division has the advantage that the multivariate analysis corresponds with an unweighted (multi-trait) community-level analysis, instead of being weighted. The first step of the al [...truncated...]
Author: Cajo J.F ter Braak [aut] , Bart-Jan van Rossum [aut, cre]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package ciftiTools updated to version 0.21.1 with previous version 0.19.0 dated 2026-03-19

Title: Tools for Reading, Writing, Viewing and Manipulating CIFTI Files
Description: CIFTI files contain brain imaging data in "grayordinates," which represent the gray matter as cortical surface vertices (left and right) and subcortical voxels (cerebellum, basal ganglia, and other deep gray matter). 'ciftiTools' provides a unified environment for reading, writing, visualizing and manipulating CIFTI-format data. It supports the "dscalar," "dlabel," and "dtseries" intents. Grayordinate data is read in as a "xifti" object, which is structured for convenient access to the data and metadata, and includes support for surface geometry files to enable spatially-dependent functionality such as static or interactive visualizations and smoothing.
Author: Amanda Mejia [aut, cre] , Damon Pham [aut] , John Muschelli [ctb]
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>

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Package vectra updated to version 0.12.0 with previous version 0.11.8 dated 2026-07-30

Title: Columnar Query Engine for Larger-than-RAM Data
Description: A minimal columnar query engine with lazy execution on datasets larger than RAM. Provides 'dplyr'-like verbs (filter(), select(), mutate(), group_by(), summarise(), joins, window functions) and common aggregations (n(), sum(), mean(), min(), max(), sd(), first(), last()) backed by a pure C11 pull-based execution engine and a custom on-disk format ('.vtr'). Reads and writes 'GeoTIFF' (including tiled and 'BigTIFF' layouts) and a tiled raster format ('.vec') with overview pyramids and time cubes for larger-than-RAM raster data. Streams vector operations (spatial transforms, point-in-polygon and nearest-feature joins including a two-sided grid-partitioned join, select-by-location, clip, erase, dissolve, 'rasterization', 'polygonization', and contouring) through 'sf', and runs raster operations (zonal statistics, focal windows, terrain derivatives, resample or 'reproject' warp, polygon masking, map algebra, and 'mosaicking') in native C or over the tiled '.vec' format, one batch or tile at [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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New package uroscores with initial version 0.1.0
Package: uroscores
Title: Scoring Tools for Urology and Pelvic Health Research Instruments
Version: 0.1.0
Description: Scores standardized patient-reported instruments used in urology and pelvic health research, including the International Prostate Symptom Score (Barry et al., 1992), the Overactive Bladder Symptom Score (Homma et al., 2006) <doi:10.1016/j.urology.2006.02.042>, the O'Leary-Sant interstitial cystitis indices, the short forms of the Urogenital Distress Inventory and the Incontinence Impact Questionnaire (Uebersax et al., 1995) <doi:10.1002/nau.1930140206>, the Sandvik incontinence severity index, and the Benign Prostatic Hyperplasia Impact Index. Instruments are declarative definitions read by a single scoring engine. Responses are checked against the permitted value set of each item, missing items follow the published rule for the instrument or return NA when none was published, severity bands are assigned by membership, and published minimal important difference statistics are included for responder analyses.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/faizamirullah/uroscores
BugReports: https://github.com/faizamirullah/uroscores/issues
NeedsCompilation: no
Packaged: 2026-08-26 15:49:42 UTC; root
Author: Muhammad Faiz Amirullah Nurhadi [aut, cre]
Maintainer: Muhammad Faiz Amirullah Nurhadi <faizamirullah@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 13:00:02 UTC

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Package RcppXts updated to version 0.0.7 with previous version 0.0.6 dated 2022-11-01

Title: Interface the 'xts' API via 'Rcpp'
Description: Access to some of the C level functions of the 'xts' package. In its current state, the package is mostly a proof-of-concept to support adding useful functions, and does not yet add any of its own.
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package R.matlab updated to version 3.8.0 with previous version 3.7.0 dated 2022-08-25

Title: Read and Write MAT Files and Call MATLAB from Within R
Description: Methods readMat() and writeMat() for reading and writing MAT files. For users with MATLAB v6 or newer installed (either locally or on a remote host), the package also provides methods for controlling MATLAB (trademark) via R and sending and retrieving data between R and MATLAB.
Author: Henrik Bengtsson [aut, cre, cph] , Andy Jacobson [ctb] , Jason Riedy [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package prinsurf updated to version 2.0 with previous version 1.0 dated 2025-03-12

Title: Principal Surface Contour Biplots
Description: Fits principal surfaces, the two-dimensional generalisation of the principal curves of Hastie and Stuetzle (1989) <doi:10.1080/01621459.1989.10478797>, and displays them as biplots in which each variable is read off the contour lines of its fitted surface coordinate function. Sample predictivity, the proportion of a sample's squared length that is reconstructed by the fitted surface, is reported as a per-sample diagnostic of how well the surface represents the data.
Author: Raeesa Ganey [aut, cre, cph]
Maintainer: Raeesa Ganey <raeesa.ganey@wits.ac.za>

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New package nlmixr2utils with initial version 0.3.1
Package: nlmixr2utils
Title: Shared Infrastructure for 'nlmixr2' Extension Packages
Version: 0.3.1
Description: Provides shared worker-plan helpers, covariance utilities, model reexports, equation rendering methods, and package data used by the split 'nlmixr2' extension packages, including 'nlmixr2boot', 'nlmixr2llp', 'nlmixr2scm', and 'nlmixr2sir'. These helpers give the extension packages a common canonical raw-results schema, run-cache and seeding infrastructure, and equation-printing methods so that each extension package does not need to reimplement this shared functionality separately.
Depends: R (>= 4.0)
License: GPL (>= 3)
URL: https://github.com/nlmixr2/nlmixr2utils
BugReports: https://github.com/nlmixr2/nlmixr2utils/issues
Imports: cli (>= 3.4.0), future, future.apply, jsonlite, knitr, methods, nlmixr2est (>= 5.0.0), parallel, rxode2 (>= 5.0.0)
Suggests: nlmixr2data, progressr, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-27 06:30:21 UTC; justin
Author: Justin Wilkins [aut, cre, cph] , Matthew Fidler [aut] , Vipul Mann [aut], Vishal Sarsani [aut] , Christian Bartels [ctb], Bill Denney [aut]
Maintainer: Justin Wilkins <justin.wilkins@occams.com>
Repository: CRAN
Date/Publication: 2026-09-09 12:30:02 UTC

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Package irace updated to version 4.4.4 with previous version 4.4.2 dated 2026-04-23

Title: Iterated Racing for Automatic Algorithm Configuration
Description: Iterated race is an extension of the Iterated F-race method for the automatic configuration of optimization algorithms, that is, (offline) tuning their parameters by finding the most appropriate settings given a set of instances of an optimization problem. M. López-Ibáñez, J. Dubois-Lacoste, L. Pérez Cáceres, T. Stützle, and M. Birattari (2016) <doi:10.1016/j.orp.2016.09.002>.
Author: Manuel Lopez-Ibanez [aut, cre] , Jeremie Dubois-Lacoste [aut], Leslie Perez Caceres [aut], Thomas Stuetzle [aut], Mauro Birattari [aut], Eric Yuan [ctb], Prasanna Balaprakash [ctb], Nguyen Dang [ctb]
Maintainer: Manuel Lopez-Ibanez <manuel.lopez-ibanez@manchester.ac.uk>

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Package comtrade updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-13

Title: Access and Analyse UN Comtrade International Trade Data
Description: Download and analyse international merchandise and services trade data from the United Nations Comtrade database <https://comtradeplus.un.org/>. Retrieve bilateral trade flows, compute trade analytics (revealed comparative advantage, trade concentration, trade balance), and convert between commodity classifications (Harmonised System 'HS', Standard International Trade Classification 'SITC', Broad Economic Categories 'BEC'). Covers 200+ reporter countries, 60+ years of goods trade data (1962-present), and services trade via Extended Balance of Payments Services ('EBOPS'). Works without registration for basic queries. A free Application Programming Interface ('API') key from <https://comtradedeveloper.un.org/> unlocks full access.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between comtrade versions 0.1.0 dated 2026-04-13 and 0.1.1 dated 2026-09-09

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New package CLIQUE with initial version 1.0.0
Package: CLIQUE
Title: Conditional Local Importance by Quantile Expectations
Version: 1.0.0
Description: Provides methods for interpretable machine learning with an emphasis on local feature importance estimation. The package implements the CLIQUE framework for computing observation-level importance values. Additional tools are included for visualizing multi-class partial dependence relationships across predictors and response classes.
License: GPL-3
URL: https://github.com/KelvynBladen/CLIQUE
Depends: R (>= 4.1.0)
Imports: caret, dplyr, fastDummies, future, future.apply, stats, tidyr, ggplot2, ggh4x, randomForest, rlang, pdp
Suggests: testthat (>= 3.0.0), datasets
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-27 06:45:02 UTC; kelvy
Author: Kelvyn Bladen [aut, cre] , Adele Cutler [aut], D. Richard Cutler [aut], Kevin R. Moon [aut]
Maintainer: Kelvyn Bladen <kelvyn.bladen@usu.edu>
Repository: CRAN
Date/Publication: 2026-09-09 12:40:23 UTC

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Package CAST updated to version 1.1.2 with previous version 1.1.1 dated 2026-07-15

Title: 'caret' Applications for Spatial-Temporal Models
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. It includes the newly suggested 'Nearest neighbor distance matching' cross-validation to estimate the performance of spatial prediction models and allows for spatial variable selection to selects suitable predictor variables in view to their contribution to the spatial model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>; Milà et al. (2022) <doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022) <doi:10.1038/s41467-022-29838-9>; L [...truncated...]
Author: Hanna Meyer [cre, aut], Carles Mila [aut], Marvin Ludwig [aut], Jan Linnenbrink [aut], Fabian Schumacher [aut], Philipp Otto [ctb], Chris Reudenbach [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb], Jakub Nowosad [ctb], Darius Goergen [ctb]
Maintainer: Hanna Meyer <hanna.meyer@uni-muenster.de>

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Package bifactory updated to version 0.6.0 with previous version 0.5.2 dated 2026-08-28

Title: (Bifactor) ESEM with Continuous (MLR) or Ordinal (WLSMV) Data
Description: Fits bifactor exploratory structural equation models (B-ESEM), together with standard exploratory structural equation modeling (ESEM) and confirmatory factor analysis (CFA), for continuous and ordinal data. Continuous models use 'lavaan' native efa() blocks with robust maximum likelihood (MLR) estimation. Ordinal ESEM defaults to the 'lavaan' weighted least squares mean- and variance-adjusted (WLSMV) estimator; ordinal B-ESEM uses a custom diagonally weighted least squares (DWLS) path with polychoric correlations from 'psych', rotation-delta standard errors via 'numDeriv', and a mean- and variance-adjusted chi-square. Target, geomin, and oblimin rotations use 'GPArotation'; the bifactor ESEM approach follows Morin, Arens and Marsh (2016) <doi:10.1080/10705511.2014.961800>. Additional features include multi-group measurement invariance (configural through strict, with partial invariance), ESEM-within-CFA conversion, McDonald's omega reliability suite, and the Mehrvarz and Rouder ( [...truncated...]
Author: Leon T. De Beer [aut, cre]
Maintainer: Leon T. De Beer <leondb@gmail.com>

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Package anovapowersim updated to version 1.2.0 with previous version 1.1.0 dated 2026-05-31

Title: Simple Power Simulations for ANOVAs
Description: A-priori power simulations and power-calculations for within, between and mixed ANOVAs based on target (partial) eta-squared values. Supports complex designs with more than two factors and their interactions with a single function call.
Author: Shaheed Azaad [aut, cre]
Maintainer: Shaheed Azaad <sazaad@uni-muenster.de>

Diff between anovapowersim versions 1.1.0 dated 2026-05-31 and 1.2.0 dated 2026-09-09

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Package TwoTimeScales updated to version 1.3.1 with previous version 1.2.1 dated 2026-03-30

Title: Analysis of Event Data with Two Time Scales
Description: Analyse time to event data with two time scales by estimating a smooth hazard that varies over two time scales. If covariates are available, estimate a proportional hazards model with such a two-dimensional baseline hazard. Functions are provided to prepare the raw data for estimation, to fit the model and to plot the two-dimensional smooth hazard. Extension to a competing risks model is implemented. For details about the method please refer to Carollo et al. (2025) <doi:10.1002/sim.10297>.
Author: Angela Carollo [aut, cre, cph] , Paul H.C. Eilers [aut], Jutta Gampe [aut]
Maintainer: Angela Carollo <carollo@demogr.mpg.de>

Diff between TwoTimeScales versions 1.2.1 dated 2026-03-30 and 1.3.1 dated 2026-09-09

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New package linkagg with initial version 0.1.0
Package: linkagg
Title: Linked Selection Across Aggregate Views
Version: 0.1.0
Description: Brush a row-level display and see aggregate displays fill in proportion to the rows selected, with the row-to-group mapping retained. Aggregate views such as bar charts summarise many rows into one mark, so a selection made on individual rows is resolved back through the row to group mapping to fill each mark partially. Output is an 'htmlwidget' that works inside 'shiny' or as a single self-contained HTML file with no server, so an interactive figure can be archived or shared like a static one.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: utils, htmlwidgets (>= 1.6.0)
Suggests: shiny (>= 1.7.0), bslib (>= 0.5.0), testthat (>= 3.0.0), htmltools, survival, pharmaverseadam
URL: https://github.com/renit12345-ship-it/linkagg
BugReports: https://github.com/renit12345-ship-it/linkagg/issues
NeedsCompilation: no
Packaged: 2026-08-21 13:26:01 UTC; kimi
Author: Renit Anthony [aut, cre], Mike Bostock [ctb, cph]
Maintainer: Renit Anthony <renit12345@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 12:00:02 UTC

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Package gamstransfer updated to version 3.0.9 with previous version 3.0.8 dated 2026-01-09

Title: A Data Interface Between 'GAMS' and R
Description: Read, analyze, modify, and write 'GAMS' (General Algebraic Modeling System) data. The main focus of 'gamstransfer' is the highly efficient transfer of data with 'GAMS' <https://www.gams.com/>, while keeping these operations as simple as possible for the user. The transfer of data usually takes place via an intermediate GDX (GAMS Data Exchange) file. Additionally, 'gamstransfer' provides utility functions to get an overview of 'GAMS' data and to check its validity.
Author: Atharv Bhosekar [aut, cre], GAMS Development Corp. [cph, fnd], GAMS Software GmbH [cph, fnd]
Maintainer: Atharv Bhosekar <abhosekar@gams.com>

Diff between gamstransfer versions 3.0.8 dated 2026-01-09 and 3.0.9 dated 2026-09-09

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New package tidycjk with initial version 0.1.0
Package: tidycjk
Title: Tidy Tools for Chinese, Japanese and Korean Text
Version: 0.1.0
Description: A tidy toolkit for text that is written in Chinese, Japanese or Korean. Most text tooling in R assumes that words are separated by whitespace, which CJK writing does not use, so ordinary summaries of a text column either treat a sentence as one undifferentiated blob or split it into isolated characters. Word segmentation is therefore a pluggable engine that the caller names explicitly rather than a bundled dictionary, because where a word ends is a fact about a language and not about Unicode. 'tidycjk' classifies characters by Unicode block, reports which script and which language a text is written in, measures how much of a text is CJK, and turns those measurements into tibbles that slot straight into a 'tidyverse' workflow. It also measures display width in terminal columns, pads and truncates to a width rather than to a character count, and normalises fullwidth and halfwidth forms surgically -- including composing halfwidth katakana voiced marks into single code points -- without th [...truncated...]
License: GPL (>= 3)
URL: https://pursuitofdatascience.github.io/tidyckj/, https://github.com/PursuitOfDataScience/tidyckj
BugReports: https://github.com/PursuitOfDataScience/tidyckj/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 3.5.0)
Imports: dplyr (>= 1.1.0), stringi, tibble, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-27 00:38:41 UTC; youzhi
Author: Youzhi Yu [aut, cre]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>
Repository: CRAN
Date/Publication: 2026-09-09 10:20:02 UTC

More information about tidycjk at CRAN
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Package readoecd updated to version 0.3.4 with previous version 0.3.3 dated 2026-03-18

Title: Download and Tidy Data from the 'OECD'
Description: Provides clean, tidy access to key economic indicators published by the 'Organisation for Economic Co-operation and Development' ('OECD'), covering GDP, CPI inflation, unemployment, tax revenue, government deficit, health expenditure, education expenditure, income inequality, labour productivity, and current account balance across all 38 'OECD' member countries. Data is downloaded from the 'OECD Data Explorer' API <https://data-explorer.oecd.org> on first use and cached locally for subsequent calls. Returns tidy long-format data frames ready for analysis and visualisation.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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More information about readoecd at CRAN
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Package readecb updated to version 0.1.4 with previous version 0.1.2 dated 2026-03-19

Title: Access 'European Central Bank' Data
Description: Provides clean, tidy access to statistical data published by the 'European Central Bank' ('ECB') via the 'ECB Data Portal' API <https://data.ecb.europa.eu>. Covers policy interest rates, 'EURIBOR', euro exchange rates, harmonised consumer price inflation ('HICP'), euro area yield curves, the euro short-term rate ('ESTR'), monetary aggregates (M1, M2, M3), mortgage and lending rates, GDP, unemployment, and government debt-to-GDP. Each dataset has a dedicated function that abstracts away the underlying 'SDMX' key structure, so users do not need to know series codes. A generic fetcher is also provided for direct access to any of the 'ECB' 100-plus dataflows. Data is downloaded on first use and cached locally for subsequent calls.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between readecb versions 0.1.2 dated 2026-03-19 and 0.1.4 dated 2026-09-09

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Package ons updated to version 0.1.4 with previous version 0.1.3 dated 2026-03-18

Title: Download Data from the 'Office for National Statistics'
Description: Provides functions to download and tidy statistical data published by the 'Office for National Statistics' <https://www.ons.gov.uk>. Covers GDP, inflation (CPI, CPIH, RPI), unemployment, employment, wages, trade, retail sales, house prices, productivity, population, and public sector finances. Most series are fetched from the 'ONS' website using its CSV time series endpoint. House price data is sourced from 'HM Land Registry' <https://www.gov.uk/government/organisations/land-registry>. Data is cached locally between sessions.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between ons versions 0.1.3 dated 2026-03-18 and 0.1.4 dated 2026-09-09

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More information about ons at CRAN
Permanent link

Package inflateR updated to version 0.2.0 with previous version 0.1.3 dated 2026-03-04

Title: Inflation Adjustment for Historical Currency Values
Description: Convert historical monetary values into their present-day equivalents using bundled CPI (Consumer Price Index) and GDP deflator data sourced from the World Bank Development Indicators. Supports British pounds (GBP), Australian dollars (AUD), US dollars (USD), Euro (EUR), Canadian dollars (CAD), Japanese yen (JPY), Chinese yuan (CNY), Swiss francs (CHF), New Zealand dollars (NZD), Indian rupees (INR), South Korean won (KRW), Brazilian reais (BRL), and Norwegian krone (NOK). Currency codes and country names are both accepted as input.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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More information about inflateR at CRAN
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Package gsaot updated to version 1.2.0 with previous version 1.1.1 dated 2025-09-17

Title: Compute Global Sensitivity Analysis Indices Using Optimal Transport
Description: Computing Global Sensitivity Indices from given data using Optimal Transport, as defined in Borgonovo et al (2024) <doi:10.1287/mnsc.2023.01796>. You provide an input sample, an output sample, decide the algorithm, and compute the indices.
Author: Leonardo Chiani [aut, cre, cph] , Emanuele Borgonovo [rev], Elmar Plischke [rev], Massimo Tavoni [rev]
Maintainer: Leonardo Chiani <leonardo.chiani@polimi.it>

Diff between gsaot versions 1.1.1 dated 2025-09-17 and 1.2.0 dated 2026-09-09

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More information about gsaot at CRAN
Permanent link

Package carbondata updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-21

Title: Access Carbon Market Data from Emissions Trading Systems and Voluntary Registries
Description: Unified access to carbon market data from compliance emissions trading systems ('EU ETS', 'UK ETS', 'RGGI', California Cap-and-Trade) and voluntary carbon markets (Verra, Gold Standard, American Carbon Registry, Climate Action Reserve, via the Berkeley Voluntary Registry Offsets Database and the 'CarbonPlan' 'OffsetsDB' API). Includes cross-market price data from the 'International Carbon Action Partnership' ('ICAP') Allowance Price Explorer <https://icapcarbonaction.com/en/ets-prices>, global carbon pricing from the World Bank Carbon Pricing Dashboard <https://carbonpricingdashboard.worldbank.org/>, and the historical 'RFF' World Carbon Pricing Database following Dolphin, Pollitt and Newbery (2020) <doi:10.1038/s41597-022-01659-x>. Data is downloaded from public sources on first use and cached locally.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between carbondata versions 0.1.0 dated 2026-04-21 and 0.2.0 dated 2026-09-09

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Package bigalgebra updated to version 3.1.1 with previous version 3.1.0 dated 2026-03-24

Title: 'BLAS' and 'LAPACK' Routines for Native R Matrices and 'big.matrix' Objects
Description: Provides arithmetic functions for R matrix and 'big.matrix' objects as well as functions for QR factorization, Cholesky factorization, General eigenvalue, and Singular value decomposition (SVD). A method matrix multiplication and an arithmetic method -for matrix addition, matrix difference- allows for mixed type operation -a matrix class object and a big.matrix class object- and pure type operation for two big.matrix class objects.
Author: Frederic Bertrand [cre, aut] , Michael J. Kane [aut], Bryan Lewis [aut], John W. Emerson [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

Diff between bigalgebra versions 3.1.0 dated 2026-03-24 and 3.1.1 dated 2026-09-09

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Package aemo updated to version 0.4.2 with previous version 0.4.1 dated 2026-05-27

Title: Download Australian Energy Market Operator Data
Description: Fetch Australian Energy Market Operator (AEMO) public data from 'NEMweb' <http://nemweb.com.au> and the Market Management System Data Model (MMSDM) historical archive. Provides tidy access to 5-minute and 30-minute wholesale electricity prices, regional demand, dispatch-unit output, interconnector flows, rooftop photovoltaic generation, generator bids, predispatch forecasts, frequency control ancillary services markets, and gas market data across the National Electricity Market (NEM) regions. Data is published by AEMO under its Copyright Permissions Notice <https://www.aemo.com.au/privacy-and-legal-notices/copyright-permissions>.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package webexercises updated to version 1.2.0 with previous version 1.1.0 dated 2023-05-15

Title: Create Interactive Web Exercises
Description: Functions for easily creating interactive web exercises in 'R Markdown', 'Quarto', and package vignettes that students can use in self-guided learning.
Author: Dale Barr [aut], Lisa DeBruine [aut], Caspar J. Van Lissa [aut, cre]
Maintainer: Caspar J. Van Lissa <c.j.vanlissa@tilburguniversity.edu>

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Package vimixr updated to version 0.1.3 with previous version 0.1.2 dated 2026-01-12

Title: Collapsed Variational Inference for Dirichlet Process (DP) Mixture Model
Description: Collapsed Variational Inference for a Dirichlet Process (DP) mixture model with unknown covariance matrix structure and DP concentration parameter. It enables efficient clustering of high-dimensional data with significantly improved computational speed than traditional MCMC methods. The package incorporates 8 parameterisations and corresponding prior choices for the unknown covariance matrix, from which the user can choose and apply accordingly.
Author: Annesh Pal [aut, cre] , Boris Hejblum [aut]
Maintainer: Annesh Pal <sistm.soft.maintain@gmail.com>

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Package readnoaa updated to version 0.2.1 with previous version 0.1.1 dated 2026-03-19

Title: Access 'NOAA' Climate and Weather Data
Description: Provides clean, tidy access to climate and weather data from the 'National Oceanic and Atmospheric Administration' ('NOAA') via the 'National Centers for Environmental Information' ('NCEI') Data Service API <https://www.ncei.noaa.gov/support/access-data-service-api-user-documentation>. Covers daily weather observations, monthly and annual summaries, and 30-year climate normals from over 100,000 stations across 180 countries. No API key is required. Dedicated functions handle the most common datasets, while a generic fetcher provides access to all 'NCEI' datasets. Station discovery functions help users find stations by location or name. Data is downloaded on first use and cached locally for subsequent calls. This package is not endorsed or certified by 'NOAA'.
Author: Charles Coverdale [aut, cre, cph]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between readnoaa versions 0.1.1 dated 2026-03-19 and 0.2.1 dated 2026-09-09

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Package PxWebApiData updated to version 2.0.0 with previous version 1.9.0 dated 2026-02-02

Title: PX-Web Data by API
Description: Function to read PX-Web data into R via API. The example code reads data from the three national statistical institutes, Statistics Norway, Statistics Sweden and Statistics Finland.
Author: Oeyvind Langsrud [aut, cre], Jan Bruusgaard [aut], Solveig Bjoerkholt [ctb], Susie Jentoft [ctb], Mads Fjeld Wold [ctb]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

Diff between PxWebApiData versions 1.9.0 dated 2026-02-02 and 2.0.0 dated 2026-09-09

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

Title: Generalized Linear Models Adjusting for Misrepresentation
Description: Fit Generalized Linear Models to continuous and count outcomes, as well as estimate the prevalence of misrepresentation of an important binary predictor. Misrepresentation typically arises when there is an incentive for the binary factor to be misclassified in one direction (e.g., in insurance settings where policy holders may purposely deny a risk status in order to lower the insurance premium). This is accomplished by treating a subset of the response variable as resulting from a mixture distribution. Model parameters are estimated via the Expectation Maximization algorithm and standard errors of the estimates are obtained from closed forms of the Observed Fisher Information. For an introduction to the models and the misrepresentation framework, see Xia et. al., (2023) <https://variancejournal.org/article/73151-maximum-likelihood-approaches-to-misrepresentation-models-in-glm-ratemaking-model-comparisons>.
Author: Patrick Rafael [cre, aut], Xia Michelle [aut], Rexford Akakpo [aut]
Maintainer: Patrick Rafael <pbr2608@vt.edu>

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New package georefar with initial version 0.1.0
Package: georefar
Title: Wrapper for the Argentine 'Georef' Geocoding API
Version: 0.1.0
Description: Query the Argentine national geographic normalization service 'georef' <https://apis.datos.gob.ar/georef> from R, searching provinces, departments, municipalities, localities, settlements, census units, streets and educational institutions, normalizing addresses and performing reverse geocoding. Results are returned as data frames, and batch queries can be sent in a single request.
License: GPL-3
URL: https://github.com/datosgobar/georefar
BugReports: https://github.com/datosgobar/georefar/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: assertthat, curl, dplyr, httr2, jsonlite, purrr
Suggests: mockery, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-08-26 18:46:41 UTC; Julian
Author: Julian Echandi [aut, cre], Alen Carbajal [aut]
Maintainer: Julian Echandi <jechandi.gobar@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 09:20:02 UTC

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New package FuzzyLogit with initial version 0.1.1
Package: FuzzyLogit
Title: Fuzzy Logistic Regression
Version: 0.1.1
Description: Fits logistic regression models in which the binary response is represented by a triangular fuzzy number rather than an exact crisp label, allowing uncertainty in class membership to be encoded directly in the outcome. Model parameters are estimated using the Fuzzy Least Squares approach of Diamond (1988) <doi:10.1016/0020-0255(88)90047-3>, following the integrated fuzzy logistic regression method of Yapici Pehlivan and Sahin (2018) <https://dergipark.org.tr/en/pub/jssa/issue/37877/437725>. Provides fitting, prediction, classification, cross-validation, and diagnostic plotting methods, along with tools for comparing model behaviour across different assumed levels of label uncertainty.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, dplyr, tidyr, ggplot2, MASS
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-26 21:38:22 UTC; LENOVO
Author: Md Faruk Hasan [aut, cre], Azizur Rahman [aut]
Maintainer: Md Faruk Hasan <md_faruk_hasan@sfu.ca>
Repository: CRAN
Date/Publication: 2026-09-09 09:40:14 UTC

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Package fred updated to version 0.3.1 with previous version 0.2.0 dated 2026-04-11

Title: Access 'Federal Reserve Economic Data'
Description: Provides clean, tidy access to economic data from the 'Federal Reserve Economic Data' ('FRED') API <https://fred.stlouisfed.org/docs/api/fred/>. 'FRED' is maintained by the 'Federal Reserve Bank of St. Louis' and contains over 800,000 time series from 118 sources covering GDP, employment, inflation, interest rates, trade, and more. Dedicated functions fetch series observations, search for series, browse categories, releases, and tags, and retrieve series metadata. Multiple series can be fetched in a single call, in long or wide format. Server-side unit transformations (percent change, log, etc.) and frequency aggregation are supported, with readable transform aliases such as 'yoy_pct' and 'log_diff'. Real-time and vintage helpers (built on 'ALFRED') return a series as it appeared on a given date, the first-release version, every revision, or a panel of selected vintages. An offline curated catalogue of around fifty popular series, NBER recession reference dates, and FOMC meeting [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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More information about fred at CRAN
Permanent link

Package scStability readmission to version 1.0.4 with previous version 1.0.3 dated 2025-06-23

Title: Measuring the Stability of Dimension Reduction and Cluster Assignment in scRNA-Seq Experiments
Description: Provides functions for evaluating the stability of low-dimensional embeddings and cluster assignments in single‑cell RNA sequencing (scRNA‑seq) datasets. Starting from a principal component analysis (PCA) object, users can generate multiple replicates of t‑Distributed Stochastic Neighbor Embedding (t‑SNE) or Uniform Manifold Approximation and Projection (UMAP) embeddings. Embedding stability is quantified by computing pairwise Kendall’s Tau correlations across replicates and summarizing the distribution of correlation coefficients. In addition to dimensionality reduction, 'scStability' assesses clustering consistency using either Louvain or Leiden algorithms and calculating the Normalized Mutual Information (NMI) between all pairs of cluster assignments. For background on UMAP and t-SNE algorithms, see McInnes et al. (2020, <doi:10.21105/joss.00861>) and van der Maaten & Hinton (2008, <https://github.com/lvdmaaten/bhtsne>), respectively.
Author: Ben Abrahams [aut, cre]
Maintainer: Ben Abrahams <benabrahams52@gmail.com>

This is a re-admission after prior archival of version 1.0.3 dated 2025-06-23

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Package hydrogeofetch updated to version 2.0.4 with previous version 2.0.2 dated 2026-08-28

Title: Hydrologic Geospatial Fabric Extraction Tool Chain
Description: Traverses and works with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'hydrogeofetch' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>. Previously published as 'nhdplusTools'.
Author: David Blodgett [aut, cre] , Mike Johnson [ctb] , Marc Weber [ctb] , Josh Erickson [ctb], Lauren Koenig [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package DTWUMI updated to version 1.1 with previous version 1.0 dated 2018-07-13

Title: Imputation of Multivariate Time Series Based on Dynamic Time Warping
Description: Functions to impute large gaps within multivariate time series based on Dynamic Time Warping methods. Gaps of size 1 or inferior to a defined threshold are filled using simple average and weighted moving average respectively. Larger gaps are filled using the methodology provided by Phan et al. (2017) <DOI:10.1109/MLSP.2017.8168165>: a query is built immediately before/after a gap and a moving window is used to find the most similar sequence to this query using Dynamic Time Warping. To lower the calculation time, similar sequences are pre-selected using global features. Contrary to the univariate method (package 'DTWBI'), these global features are not estimated over the sequence containing the gap(s), but a feature matrix is built to summarize general features of the whole multivariate signal. Once the most similar sequence to the query has been identified, the adjacent sequence to this window is used to fill the gap considered. This function can deal with multiple gaps over all t [...truncated...]
Author: Camille Dezecache [aut], Thi Thu Hong Phan [aut], Emilie Poisson-Caillault [aut, cre]
Maintainer: Emilie Poisson-Caillault <emilie.poisson@univ-littoral.fr>

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Package DTWBI updated to version 1.2 with previous version 1.1 dated 2018-07-11

Title: Imputation of Time Series Based on Dynamic Time Warping
Description: Functions to impute large gaps within time series based on Dynamic Time Warping methods. It contains all required functions to create large missing consecutive values within time series and to fill them, according to the paper Phan et al. (2017), <DOI:10.1016/j.patrec.2017.08.019>. Performance criteria are added to compare similarity between two signals (query and reference).
Author: Camille Dezecache [aut], Thi Thu Hong Phan [aut], Emilie Poisson-Caillault [aut, cre]
Maintainer: Emilie Poisson-Caillault <emilie.poisson@univ-littoral.fr>

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Package climatekit updated to version 0.2.2 with previous version 0.2.0 dated 2026-05-09

Title: Unified Climate Indices for Temperature, Precipitation, and Drought
Description: Compute the standard suite of climate indices from daily weather observations. Provides the canonical 'ETCCDI' 27 (Expert Team on Climate Change Detection and Indices), the 'ET-SCI' heatwave and cold-wave families plus the Excess Heat Factor of Nairn and Fawcett (2013), and agroclimatic, drought, and human-comfort families. Drought indices ('SPI', 'SPEI') accept a choice of distribution (gamma or Pearson III for SPI; log-logistic or generalised extreme value for SPEI). Reference evapotranspiration is available via Hargreaves and the FAO-56 Penman-Monteith method (Allen et al. 1998). Percentile-based indices support the Zhang (2005) in-base bootstrap. Daily inputs are numeric vectors plus a 'Date' vector; outputs are tidy data frames. Optional gridded support via 'terra' applies any index over a 'SpatRaster' and reads 'netCDF' input. No external API calls; pairs with data packages such as 'readnoaa'. References: Alexander et al. (2006) <doi:10.1029/2005JD006290>; Zhang et al. (201 [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package birdie updated to version 0.8.0 with previous version 0.7.1 dated 2025-07-24

Title: Bayesian Instrumental Regression for Disparity Estimation
Description: Bayesian models for accurately estimating conditional distributions by race, using Bayesian Improved Surname Geocoding (BISG) probability estimates of individual race. Implements the methods described in McCartan, Fisher, Goldin, Ho and Imai (2025) <doi:10.1080/01621459.2025.2526695>.
Author: Cory McCartan [aut, cre], Kosuke Imai [ctb], Daniel Ho [ctb], Jacob Goldin [ctb], Robin Fisher [ctb], The Stan Development Team [cph]
Maintainer: Cory McCartan <mccartan@psu.edu>

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Package anticlust updated to version 0.8.16 with previous version 0.8.14 dated 2026-04-15

Title: Subset Partitioning via Anticlustering
Description: The method of anticlustering partitions a pool of elements into groups (i.e., anticlusters) with the goal of maximizing between-group similarity or within-group heterogeneity. The anticlustering approach thereby reverses the logic of cluster analysis that strives for high within-group homogeneity and clear separation between groups. Computationally, anticlustering is accomplished by maximizing instead of minimizing a clustering objective function, such as the intra-cluster variance (used in k-means clustering) or the sum of pairwise distances within clusters. The main function anticlustering() gives access to optimal and heuristic anticlustering methods described in Papenberg and Klau (2021; <doi:10.1037/met0000301>), Brusco et al. (2020; <doi:10.1111/bmsp.12186>), Papenberg (2024; <doi:10.1111/bmsp.12315>), Papenberg, Wang, et al. (2025; <doi:10.1016/j.crmeth.2025.101137>), Papenberg, Breuer, et al. (2025; <doi:10.1017/psy.2025.10052>), Yang et al. (202 [...truncated...]
Author: Martin Papenberg [aut, cre] , Meik Michalke [ctb] , Gunnar W. Klau [ths], Juliane V. Nagel [ctb] , Martin Breuer [ctb] , Marie L. Schaper [ctb] , Max Diekhoff [ctb] , Hannah Hengelbrock [ctb] , Dimitry Wintermantel [ctb] ), David Buczynski [ctb]
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>

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Package rurl updated to version 3.0.1 with previous version 1.2.0 dated 2026-06-19

Title: Parse, Clean, and Normalize URLs
Description: A lightweight toolkit for extracting structured information from URLs. Includes functions for parsing, normalizing protocols, extracting domains, and constructing clean URLs. Domain and public-suffix extraction is delegated to the 'pslr' package, which implements the Public Suffix List from <https://publicsuffix.org>. Punycode and IDNA encoding is handled by the 'punycoder' package.
Author: Bart Turczynski [aut, cre]
Maintainer: Bart Turczynski <bartek@turczynski.pl>

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Package rtdists updated to version 0.12-0 with previous version 0.11-6 dated 2026-06-10

Title: Response Time Distributions
Description: Provides response time distributions (density/PDF, distribution function/CDF, quantile function, and random generation): (a) Ratcliff diffusion model (Ratcliff & McKoon, 2008, <doi:10.1162/neco.2008.12-06-420>) based on C code by Andreas and Jochen Voss, (b) linear ballistic accumulator (LBA; Brown & Heathcote, 2008, <doi:10.1016/j.cogpsych.2007.12.002>) with different distributions underlying the drift rate, and (c) racing diffusion model (RDM; Tillman, Van Zandt, & Logan, 2020, <doi:10.3758/s13423-020-01719-6>).
Author: Henrik Singmann [aut, cre] , Scott Brown [aut], Matthew Gretton [aut], Andrew Heathcote [aut], Kiante Fernandez [aut] , Andreas Voss [ctb], Jochen Voss [ctb], Andrew Terry [ctb], Trisha Van Zandt [ctb], Gabriel Tillman [ctb]
Maintainer: Henrik Singmann <singmann@gmail.com>

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Package RcppPlanc updated to version 2.0.16 with previous version 2.0.15 dated 2026-02-26

Title: Parallel Low-Rank Approximation with Nonnegativity Constraints
Description: 'Rcpp' bindings for 'PLANC', a highly parallel and extensible NMF/NTF (Non-negative Matrix/Tensor Factorization) library. Wraps algorithms described in Kannan et. al (2018) <doi:10.1109/TKDE.2017.2767592> and Eswar et. al (2021) <doi:10.1145/3432185>. Implements algorithms described in Welch et al. (2019) <doi:10.1016/j.cell.2019.05.006>, Gao et al. (2021) <doi:10.1038/s41587-021-00867-x>, and Kriebel & Welch (2022) <doi:10.1038/s41467-022-28431-4>.
Author: Andrew Robbins [aut, cre] , Yichen Wang [aut], Joshua Welch [cph] , Ramakrishnan Kannan [cph] , Conrad Sanderson [cph] , Blue Brain Project/EPFL [cph] , UT-Batelle [cph] , LibHwloc Contributors [cph]
Maintainer: Andrew Robbins <robbiand@umich.edu>

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Package nhdR updated to version 0.6.2 with previous version 0.6.1 dated 2023-08-11

Title: Tools for Working with the National Hydrography Dataset
Description: Tools for working with the National Hydrography Dataset, with functions for querying, downloading, and networking both the NHD <https://www.usgs.gov/national-hydrography> and NHDPlus <https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plus> datasets.
Author: Jemma Stachelek [aut, cre]
Maintainer: Jemma Stachelek <jemma.stachelek@gmail.com>

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Package epicR updated to version 1.0.2 with previous version 1.0.1 dated 2026-03-24

Title: Evaluation Platform in Chronic Obstructive Pulmonary Disease
Description: Evaluation Platform in Chronic Obstructive Pulmonary Disease (EPIC) is a Discrete Event Simulation (DES) model that simulates health outcomes of patients with Chronic Obstructive Pulmonary Disease (COPD) based on demographics and individual-level risk factors, based on the model published in Sadatsafavi et al. (2019) <doi:10.1177/0272989X18824098>.
Author: Mohsen Sadatsafavi [aut, cph], Kate Johnson [aut, cre], Amin Adibi [aut], Kevin Yan [aut]
Maintainer: Kate Johnson <kate.johnson@ubc.ca>

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Package ebrahim.gof updated to version 2.7.0 with previous version 2.6.0 dated 2026-08-28

Title: Goodness-of-Fit and Calibration Tests for Logistic Regression
Description: Provides a unified battery of goodness-of-fit and calibration tests for binary logistic regression, runnable in a single call via 'run.all.gof()'. Around twenty-five tests spanning five decades of literature are aggregated and grouped by the departure each is built to detect: global and standardized statistics, partition tests such as Hosmer-Lemeshow, directed and covariate-space tests, smoothing and resampling tests, and calibration tests. Each is obtained from its own package where installed and attributed to its authors. The package also implements the author's own procedures for sparse data, where the Hosmer-Lemeshow test loses power: the omnibus Ebrahim-Farrington test 'ef.gof()', the directed 'edge.gof()' and its covariate-space variant 'cdef.gof()', the Cauchy-combination ensemble 'edges.gof()', 'DeepGOF-1' (a pretrained convolutional statistic whose level comes from the analyst's own parametric bootstrap rather than from the network), and 'legoft()' (a frozen-weight combination [...truncated...]
Author: Ebrahim Khaled Ebrahim [aut, cre]
Maintainer: Ebrahim Khaled Ebrahim <ebrahimkhaled@alexu.edu.eg>

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Package colocboost updated to version 1.0.10 with previous version 1.0.9 dated 2026-06-08

Title: Multi-Context Colocalization Analysis for QTL and GWAS Studies
Description: A multi-task learning approach to variable selection regression with highly correlated predictors and sparse effects, based on frequentist statistical inference. It provides statistical evidence to identify which subsets of predictors have non-zero effects on which subsets of response variables, motivated and designed for colocalization analysis across genome-wide association studies (GWAS) and quantitative trait loci (QTL) studies. The ColocBoost model is described in Cao et. al. (2025) <doi:10.1101/2025.04.17.25326042>.
Author: Xuewei Cao [cre, aut, cph], Haochen Sun [aut, cph], Ru Feng [aut, cph], Daniel Nachun [aut, cph], Kushal Dey [aut, cph], Gao Wang [aut, cph]
Maintainer: Xuewei Cao <xc2270@cumc.columbia.edu>

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Package APCalign updated to version 2.0.1 with previous version 2.0.0 dated 2026-03-27

Title: Resolving Plant Taxon Names Using the Australian Plant Census
Description: The process of resolving and updating taxon names is necessary when working with biodiversity data. 'APCalign' uses the Australian Plant Census (APC) and the Australian Plant Name Index (APNI) to align and update plant taxon names to current, accepted standards. 'APCalign' also supplies information about the establishment status (i.e. native or introduced) of plant taxa across different states/territories.
Author: Elizabeth Wenk [aut, cre, cph] , Daniel Falster [aut, ctb] , Will Cornwell [aut, ctb] , Fonti Kar [aut, ctb] , Carl Boettiger [ctb]
Maintainer: Elizabeth Wenk <e.wenk@unsw.edu.au>

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Package aoristic updated to version 2.0.0 with previous version 1.1.1 dated 2022-10-20

Title: Generates Aoristic Probability Distributions
Description: It can sometimes be difficult to ascertain when some events (such as property crime) occur because the victim is not present when the crime happens. As a result, police databases often record a 'start' (or 'from') date and time, and an 'end' (or 'to') date and time. The time span between these date/times can be minutes, hours, or sometimes days, hence the term 'Aoristic'. Aoristic is one of the past tenses in Greek and represents an uncertain occurrence in time. For events with a location described by either a latitude/longitude or X/Y coordinate pair, and a start and end date/time, this package generates an aoristic data frame with aoristic weighted probability values for each hour of the week, for each observation. The coordinates are not necessary for the program to calculate aoristic weights; however, they are part of this package because a spatial component has been integral to aoristic analysis from the start. Dummy coordinates can be introduced if the user only has temporal data [...truncated...]
Author: Jerry Ratcliffe [aut, cre]
Maintainer: Jerry Ratcliffe <jerryr@sas.upenn.edu>

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Package acro updated to version 1.0.0 with previous version 0.1.7 dated 2026-02-02

Title: A Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs
Description: A Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs.
Author: Jim Smith [cre, ctb] , Maha Albashir [aut, ctb], Richard John Preen [aut, ctb]
Maintainer: Jim Smith <James.Smith@uwe.ac.uk>

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Package NeuralEstimators updated to version 0.2.2 with previous version 0.2.1 dated 2026-04-28

Title: Likelihood-Free Parameter Estimation using Neural Networks
Description: An 'R' interface to the 'Julia' package 'NeuralEstimators.jl'. The package facilitates the user-friendly development of neural Bayes estimators, which are neural networks that map data to a point summary of the posterior distribution (Sainsbury-Dale et al., 2024, <doi:10.1080/00031305.2023.2249522>). These estimators are likelihood-free and amortised, in the sense that, once the neural networks are trained on simulated data, inference from observed data can be made in a fraction of the time required by conventional approaches. The package also supports amortised Bayesian or frequentist inference using neural networks that approximate the posterior or likelihood-to-evidence ratio (Zammit-Mangion et al., 2025, Sec. 3.2, 5.2, <doi:10.48550/arXiv.2404.12484>). The package accommodates any model for which simulation is feasible by allowing users to define models implicitly through simulated data.
Author: Matthew Sainsbury-Dale [aut, cre]
Maintainer: Matthew Sainsbury-Dale <msainsburydale@gmail.com>

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Package tspredit updated to version 2.0.717 with previous version 2.0.707 dated 2026-05-22

Title: Time Series Prediction with Integrated Tuning
Description: Time series prediction is a critical task in data analysis, requiring not only the selection of appropriate models, but also suitable data preprocessing and tuning strategies. TSPredIT (Time Series Prediction with Integrated Tuning) is a framework that provides a seamless integration of data preprocessing, decomposition, model training, hyperparameter optimization, and evaluation. Unlike other frameworks, TSPredIT emphasizes the co-optimization of both preprocessing and modeling steps, improving predictive performance. It supports a variety of statistical and machine learning models, filtering techniques, outlier detection, data augmentation, and ensemble strategies. More information is available in Salles et al. <doi:10.1007/978-3-662-68014-8_2>.
Author: Eduardo Ogasawara [aut, ths, cre] , Arthur Garcia [aut], Cristiane Gea [aut], Diego Carvalho [ctb], Diogo Santos [aut], Eduardo Bezerra [ctb], Esther Pacitti [ctb], Fabio Porto [ctb], Fernando Alexandrino [aut], Luciano Mello [aut], Rebecca Salles [a [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

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Package rxode2ll updated to version 2.0.17 with previous version 2.0.16 dated 2026-07-24

Title: Log-Likelihood Functions for 'rxode2'
Description: Provides the log-likelihoods with gradients from 'stan' (Carpenter et al (2015), <doi:10.48550/arXiv.1509.07164>) needed for generalized log-likelihood estimation in 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>). This is split of to reduce computational burden of recompiling 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) which runs the 'nlmixr2' models during estimation.
Author: Matthew L. Fidler [aut, cre]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

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Package nipals updated to version 1.2 with previous version 1.0 dated 2024-12-02

Title: Principal Components Analysis using NIPALS or Weighted EMPCA, with Gram-Schmidt Orthogonalization
Description: Principal Components Analysis of a matrix using Non-linear Iterative Partial Least Squares or weighted Expectation Maximization PCA with Gram-Schmidt orthogonalization of the scores and loadings. Optimized for speed. See Andrecut (2009) <doi:10.1089/cmb.2008.0221>.
Author: Kevin Wright [aut, cre, cph]
Maintainer: Kevin Wright <kw.stat@gmail.com>

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Package ncdfgeom updated to version 1.2.3 with previous version 1.2.2 dated 2026-04-22

Title: 'NetCDF' Geometry and Time Series
Description: Tools to create time series and geometry 'NetCDF' files.
Author: David Blodgett [aut, cre], Luke Winslow [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package autograph updated to version 1.2.3 with previous version 1.2.2 dated 2026-08-29

Title: Automatic Plotting and Theming of Many Graphs
Description: Visual exploration and presentation of networks should not be difficult. This package includes functions for plotting networks and network-related metrics with sensible and pretty defaults. It includes 'ggplot2'-based plot methods for many popular network package classes. It also includes some novel layout algorithms, and options for straightforward, consistent themes.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Tue, 08 Sep 2026

Package wcvpmatch updated to version 0.0.2 with previous version 0.0.1 dated 2026-03-23

Title: Taxonomic Name Reconciliation Against the 'WCVP' Backbone
Description: Standardizes and reconciles scientific plant names against a World Checklist of Vascular Plants ('WCVP')-style taxonomic backbone. The package parses names into taxonomic components and applies staged exact and fuzzy matching for binomial and trinomial inputs, including infraspecific rank-aware checks. It also returns accepted-name context and row-level matching flags to support reproducible, auditable preprocessing for downstream biodiversity, spatial, and trait analyses. A user-supplied backbone can be passed through 'target_df'; when the optional companion package 'wcvpdata' is installed, its default checklist can also be used.
Author: Paul Efren Santos Andrade [aut, cre, cph]
Maintainer: Paul Efren Santos Andrade <paulefrens@gmail.com>

Diff between wcvpmatch versions 0.0.1 dated 2026-03-23 and 0.0.2 dated 2026-09-08

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Package epibyhand updated to version 0.2.0 with previous version 0.1.0 dated 2026-08-05

Title: Worked Derivations for Classical Epidemiological Measures
Description: Computes classical epidemiological measures and returns the complete worked derivation alongside the result: every intermediate quantity, the formula, and the formula with the observed numbers substituted in. Intended for teaching, for checking hand calculations, and for generating worked solutions in course materials. Scope is deliberately limited to methods a student can compute by hand on paper. Methods follow Mantel and Haenszel (1959) <doi:10.1093/jnci/22.4.719>, Greenland and Robins (1985, Biometrics 41, 55-68), Robins, Breslow and Greenland (1986, Biometrics 42, 311-323), and Breslow and Day (1980, IARC Scientific Publications No. 32).
Author: Raj Subedi [aut, cre]
Maintainer: Raj Subedi <rajsubediresearch@gmail.com>

Diff between epibyhand versions 0.1.0 dated 2026-08-05 and 0.2.0 dated 2026-09-08

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Package vecmatch updated to version 1.4.0 with previous version 1.3.0 dated 2025-12-01

Title: Generalized Propensity Score Estimation and Matching for Multiple Groups
Description: Implements the Vector Matching algorithm to match multiple treatment groups based on previously estimated generalized propensity scores. The package includes tools for visualizing initial confounder imbalances, estimating treatment assignment probabilities using various methods, defining the common support region, performing matching across multiple groups, and evaluating matching quality. For more details, see Lopez and Gutman (2017) <doi:10.1214/17-STS612>.
Author: Mateusz Kolek [aut, cre, cph]
Maintainer: Mateusz Kolek <mati.kolek13@gmail.com>

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Package traj updated to version 3.1.0 with previous version 3.0.1 dated 2026-03-15

Title: Feature-Based Clustering of Longitudinal Trajectories
Description: Identifies clusters of individual longitudinal trajectories. In the spirit of Leffondre et al. (2004), the procedure involves identifying each trajectory to a point in the space of measures. In this context, a measure is a quantity meant to capture a certain characteristic feature of the trajectory. The points in the space of measures are then clustered using a version of the Spectral Clustering algorithm.
Author: Marie-Pierre Sylvestre [aut], Laurence Boulanger [aut, cre], Jean-Benoit Bergeron [ctb], Gillis Delmas [ctb], Tchouangue Dinkou [ctb], Dan Vatnik [ctb]
Maintainer: Laurence Boulanger <laurence.boulanger@umontreal.ca>

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Package penetrance updated to version 0.1.4 with previous version 0.1.3 dated 2026-05-15

Title: Methods for Penetrance Estimation in Family-Based Studies
Description: Implements statistical methods for estimating disease penetrance in family-based studies. Penetrance refers to the probability of disease manifestation in individuals carrying specific genetic variants. The package provides tools for age-specific penetrance estimation, handling missing data, and accounting for ascertainment bias in family studies. Cite as: Kubista, N., Braun, D. & Parmigiani, G. (2025) <doi:10.1093/bioadv/vbaf154>.
Author: Sol Rosito [cre], Nicolas Kubista [aut], BayesMendel Lab [aut], Giovanni Parmigiani [aut], Danielle Braun [aut], Zaid Al-Ississ [aut], Alice Zhang [aut]
Maintainer: Sol Rosito <bmendel@jimmy.harvard.edu>

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Package NMsim updated to version 0.2.8 with previous version 0.2.7 dated 2026-03-19

Title: Seamless 'Nonmem' Simulation Platform
Description: A complete and seamless 'Nonmem' simulation interface within R. Turns 'Nonmem' control streams into simulation control streams, executes them with specified simulation input data and returns the results. The simulation is performed by 'Nonmem', eliminating manual work and risks of re-implementation of models in other tools.
Author: Philip Delff [aut, cre], Brian Reilly [ctb], Sanaya Shroff [ctb], Boris Grinshpun [ctb]
Maintainer: Philip Delff <philip@delff.dk>

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Package zarr updated to version 0.5.1 with previous version 0.5.0 dated 2026-08-30

Title: Native and Extensible R Driver for 'Zarr'
Description: The 'Zarr' specification is widely used to build libraries for the storage and retrieval of n-dimensional array data from data stores ranging from local file systems to the cloud. This package is a native 'Zarr' implementation in R with support for all required features of 'Zarr' version 3. It is designed to be extensible such that new stores, codecs and extensions can be added easily.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

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Package rmoriebricklayer updated to version 0.3.9 with previous version 0.3.7 dated 2026-08-05

Title: Reproducible Data Capsules with Provenance and Fallback
Description: Tools for building brick-proof, reproducible, self-contained data capsules. Resolves open-data sources through the Comprehensive Knowledge Archive Network ('CKAN', <https://ckan.org/>) package_show and package_search endpoints, records and verifies provenance with Secure Hash Algorithm 256 ('SHA-256') digests and Internet Archive 'Wayback Machine' (<https://web.archive.org/>) snapshots, validates downloaded data against a pinned schema, and falls back to schema-driven synthetic data when the real source is unreachable. Run records are captured in a manifest plus a plain-language summary so any result can be traced back to its inputs. Also ships a small compiled C core (fast summary statistics and a self-contained 'SHA-256') that sibling packages in the 'rmorie' ecosystem reach through 'LinkingTo' for a single, shared numeric and provenance-hashing backend.
Author: Vansh Singh Ruhela [aut, cre]
Maintainer: Vansh Singh Ruhela <vsruhela@proton.me>

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Package NHSRdatasets updated to version 1.0.0 with previous version 0.3.0 dated 2021-03-13

Title: NHS and Healthcare-Related Data for Education and Training
Description: Free United Kingdom National Health Service (NHS) and other healthcare, or population health-related data for education and training purposes. This package contains synthetic data based on real healthcare datasets, or cuts of open-licenced official data. This package exists to support skills development in the NHS-R community: <https://nhsrcommunity.com/>.
Author: Zoe Turner [aut, cre] , Chris Mainey [aut] , Tom Jemmett [aut] , Fran Barton [aut] , Gary Hutson [aut] , NHS-R community [cph]
Maintainer: Zoe Turner <zoe.turner3@nhs.net>

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Package xts updated to version 0.14.3 with previous version 0.14.2 dated 2026-02-28

Title: eXtensible Time Series
Description: Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability.
Author: Jeffrey A. Ryan [aut, cph], Joshua M. Ulrich [cre, aut], Ross Bennett [ctb], Corwin Joy [ctb]
Maintainer: Joshua M. Ulrich <josh.m.ulrich@gmail.com>

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Package vprint updated to version 1.4 with previous version 1.3 dated 2026-07-23

Title: More Flexible Form of Boolean Verbose
Description: R functions are not supposed to print text without giving the user the option to turn the printing off or on using a Boolean 'verbose' in a construct like 'if(verbose) print(...)'. But this black/white approach is rather rigid, and an approach with shades of gray might be more appropriate in many circumstances. As of Version 1.4, also supports text and background colors, as well as text styles.
Author: Barry Zeeberg [aut, cre]
Maintainer: Barry Zeeberg <barryz2013@gmail.com>

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Package SimInf updated to version 11.1.0 with previous version 10.1.0 dated 2025-11-17

Title: A Framework for Data-Driven Stochastic Disease Spread Simulations
Description: Provides an efficient and very flexible framework to conduct data-driven epidemiological modeling in realistic large scale disease spread simulations. The framework integrates infection dynamics in subpopulations as continuous-time Markov chains using the Gillespie stochastic simulation algorithm and incorporates available data such as births, deaths and movements as scheduled events at predefined time-points. Using C code for the numerical solvers and 'OpenMP' (if available) to divide work over multiple processors ensures high performance when simulating a sample outcome. One of our design goals was to make the package extendable and enable usage of the numerical solvers from other R extension packages in order to facilitate complex epidemiological research. The package contains template models and can be extended with user-defined models. For more details see the paper by Widgren, Bauer, Eriksson and Engblom (2019) <doi:10.18637/jss.v091.i12>. The package also provides function [...truncated...]
Author: Stefan Widgren [aut, cre] , Robin Eriksson [aut] , Stefan Engblom [aut] , Pavol Bauer [aut] , Thomas Rosendal [ctb] , Ivana Rodriguez Ewerloef [ctb] , Attractive Chaos [cph]
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>

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Permanent link

Package rquery updated to version 1.5.1 with previous version 1.4.99 dated 2023-08-19

Title: Relational Query Generator for Data Manipulation at Scale
Description: A piped query generator based on Edgar F. Codd's relational algebra, and on production experience using 'SQL' and 'dplyr' at big data scale. The design represents an attempt to make 'SQL' more teachable by denoting composition by a sequential pipeline notation instead of nested queries or functions. The implementation delivers reliable high performance data processing on large data systems such as 'Spark', databases, and 'data.table'. Package features include: data processing trees or pipelines as observable objects (able to report both columns produced and columns used), optimized 'SQL' generation as an explicit user visible table modeling step, plus explicit query reasoning and checking.
Author: John Mount [aut, cre], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between rquery versions 1.4.99 dated 2023-08-19 and 1.5.1 dated 2026-09-08

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Package kvh updated to version 1.5.0 with previous version 1.4.2 dated 2022-01-26

Title: Read/Write Files in Key-Value-Hierarchy Format
Description: The format KVH is a lightweight format that can be read/written both by humans and machines. It can be useful in situations where XML or alike formats seem to be an overkill. We provide an ability to parse KVH files in R pretty fast due to 'Rcpp' use.
Author: Serguei Sokol [aut, cre]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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Package cSEM updated to version 0.7.1 with previous version 0.6.1 dated 2025-05-16

Title: Composite-Based Structural Equation Modeling
Description: Estimate, assess, test, and study linear, nonlinear, hierarchical and multigroup structural equation models using composite-based approaches and procedures, including estimation techniques such as partial least squares path modeling (PLS-PM) and its derivatives (PLSc, ordPLSc, robustPLSc), generalized structured component analysis (GSCA), generalized structured component analysis with uniqueness terms (GSCAm), generalized canonical correlation analysis (GCCA), principal component analysis (PCA), factor score regression (FSR) using sum score, regression or Bartlett scores (including bias correction using Croon’s approach), as well as several tests and typical postestimation procedures (e.g., verify admissibility of the estimates, assess the model fit, test the model fit etc.).
Author: Manuel E. Rademaker [aut] , Florian Schuberth [aut, cre] , Tamara Schamberger [ctb] , Michael Klesel [ctb] , Huu Phuc Nguyen [ctb] , Theo K. Dijkstra [ctb], Joerg Henseler [ctb] , Gloria Pietropolli [ctb] , Kjell S. Slupphaug [ctb] , Jason J. Berger [ [...truncated...]
Maintainer: Florian Schuberth <f.schuberth@utwente.nl>

Diff between cSEM versions 0.6.1 dated 2025-05-16 and 0.7.1 dated 2026-09-08

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More information about cSEM at CRAN
Permanent link

Package terra updated to version 1.9-50 with previous version 1.9-46 dated 2026-08-22

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>

Diff between terra versions 1.9-46 dated 2026-08-22 and 1.9-50 dated 2026-09-08

 DESCRIPTION                   |   10 +-
 MD5                           |   87 +++++++++----------
 NAMESPACE                     |    2 
 NEWS.md                       |   28 +++++-
 R/RcppExports.R               |    4 
 R/animate.R                   |   11 ++
 R/gdal.R                      |    4 
 R/generics.R                  |   65 +++++++-------
 configure                     |   52 ++++++++++-
 configure.ac                  |   49 +++++++++-
 inst/tinytest/test_cats.R     |   26 +++--
 man/RGB.Rd                    |    2 
 man/centroids.Rd              |    4 
 man/crop.Rd                   |    4 
 man/dimensions.Rd             |    4 
 man/extract.Rd                |    4 
 man/focal3D.Rd                |    2 
 man/focalCpp.Rd               |    2 
 man/gdal.Rd                   |    4 
 man/plotRGB.Rd                |    2 
 man/project.Rd                |   13 +-
 man/same.crs.Rd               |    2 
 man/subst.Rd                  |    2 
 man/terra-package.Rd          |    4 
 man/terraOptions.Rd           |    6 -
 man/union.Rd                  |    5 -
 man/writeRaster.Rd            |    2 
 src/RcppExports.cpp           |   11 ++
 src/RcppFunctions.cpp         |   25 +++++
 src/RcppModule.cpp            |    6 -
 src/catchments.cpp            |   73 ++++++++++++----
 src/crs.cpp                   |   64 ++++++++++----
 src/gdal_algs.cpp             |  190 +++++++++++++++++++++++++-----------------
 src/gdal_compat.h             |only
 src/gdal_multidimensional.cpp |  133 +++++++++++++++++++++--------
 src/gdalio.cpp                |   20 ++++
 src/gdalio.h                  |    2 
 src/geos_methods.cpp          |   32 ++++---
 src/geos_spat.h               |    2 
 src/read_gdal.cpp             |   64 +++++++++++---
 src/spatRaster.h              |   11 +-
 src/spatSources.cpp           |    1 
 src/spatVector.h              |    4 
 src/tessellate.cpp            |    3 
 src/write_gdal.cpp            |    1 
 45 files changed, 730 insertions(+), 312 deletions(-)

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Package free1way.docreg updated to version 1.0-3 with previous version 1.0-2 dated 2026-06-30

Title: Additional Documentation and Regression Tests for 'stats::free1way()'
Description: Function 'stats::free1way()' implements semiparametrically efficient population- and permutation-based inference in distribution-free stratified K-sample oneway layouts. This package provides additional documentation, including a detailed description of the implementation, and serves as a home for extensive regression tests.
Author: Torsten Hothorn [aut, cre], Kurt Hornik [aut], Frank E Harrell Jr [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between free1way.docreg versions 1.0-2 dated 2026-06-30 and 1.0-3 dated 2026-09-08

 DESCRIPTION                 |    8 +++----
 MD5                         |   16 +++++++-------
 inst/NEWS.Rd                |    9 ++++++++
 inst/doc/free1way.R         |   45 ------------------------------------------
 inst/doc/free1way.Rnw       |   47 +++-----------------------------------------
 inst/doc/free1way.pdf       |binary
 inst/nuweb/free1way.w       |   47 +++-----------------------------------------
 tests/free1way-Ex.Rout.save |   43 ++++++++++++++++++++++++----------------
 vignettes/free1way.Rnw      |   47 +++-----------------------------------------
 9 files changed, 60 insertions(+), 202 deletions(-)

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New package spatcovar with initial version 0.1.0
Package: spatcovar
Title: Construct Spatial Covariates from Polygon Data
Version: 0.1.0
Description: Provides a consistent interface for constructing commonly used spatial covariates from polygon data. Computes polygon areas, distances to reference features, point and line intersection counts, line lengths within polygons, polygon overlap areas and shares, and raster zonal summaries. Handles coordinate reference system validation, geometry repair, unit conversion, row preservation, and standardised missing value semantics while relying on established spatial libraries for the underlying geometry operations.
License: MIT + file LICENSE
URL: https://github.com/emre-cebeci/spatcovar
BugReports: https://github.com/emre-cebeci/spatcovar/issues
Encoding: UTF-8
Imports: exactextractr (>= 0.9.0), sf (>= 1.0.0), terra, units
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-26 01:53:51 UTC; emrecebeci
Author: Emre Cebeci [aut, cre]
Maintainer: Emre Cebeci <cebeciemre1@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:30:02 UTC

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Package qrcm updated to version 3.4 with previous version 3.3 dated 2026-06-22

Title: Quantile Regression Coefficients Modeling
Description: Parametric modeling of quantile regression coefficient functions.
Author: Paolo Frumento [aut, cre]
Maintainer: Paolo Frumento <paolo.frumento@unipi.it>

Diff between qrcm versions 3.3 dated 2026-06-22 and 3.4 dated 2026-09-08

 DESCRIPTION         |    8 ++++----
 MD5                 |    8 ++++----
 NEWS.md             |    6 +++---
 R/iqrL1_fit.R       |   22 ++++++++++++----------
 man/qrcm-package.Rd |    4 ++--
 5 files changed, 25 insertions(+), 23 deletions(-)

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New package PseudoVoigtMixt with initial version 0.1.0
Package: PseudoVoigtMixt
Title: Multivariate Pseudo-Voigt Mixture Models
Version: 0.1.0
Description: Fits multivariate pseudo-Voigt mixture models for model-based clustering and outlier detection. The model combines multivariate Gaussian and Cauchy distributions within each cluster to accommodate heavy-tailed observations and decompose the data into a high-density region and a low-density remainder, with outliers more likely to arise from the latter.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: MASS, tclust
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-25 21:47:44 UTC; babakdehkordi
Author: Babak Fathollahi Dehkordi [aut, cre], Jeffery Andrews [aut, ths]
Maintainer: Babak Fathollahi Dehkordi <babak.dehkordi.f@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:20:15 UTC

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New package pressfreedom with initial version 0.2.0
Package: pressfreedom
Title: Press Freedom Dashboard
Version: 0.2.0
Date: 2026-08-25
Description: A Shiny dashboard for exploring Reporters Without Borders (RWB) Press Freedom Index data from 2002 to the present. Combines RWB scores with United Nations M49 geographic classifications to enable comparisons across countries, regions, and time.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: pressfreedom.data (>= 0.3.0), shiny, bslib, dplyr, plotly, ggplot2, htmlwidgets, RColorBrewer, countrycode, tidyr, purrr
Suggests: pkgdown, testthat (>= 3.0.0)
URL: https://github.com/petzi53/pressfreedom, https://www.peter-baumgartner.net/pressfreedom/
BugReports: https://github.com/petzi53/pressfreedom/issues
NeedsCompilation: no
Packaged: 2026-08-26 11:19:53 UTC; petzi
Author: Peter Baumgartner [aut, cre]
Maintainer: Peter Baumgartner <petzi53@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:40:02 UTC

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