Fri, 04 Sep 2026

Package triageR updated to version 0.2.0 with previous version 0.1.1 dated 2026-08-02

Title: Automated Machine Learning and AI Agent Tools for Clinical Prediction Modelling
Description: Provides a streamlined workflow for building, validating, and reporting clinical prediction models. Combines standard machine learning tools with an optional AI agent that recommends appropriate statistical methods, runs sensitivity analyses, and flags common pitfalls. Includes automated generation of reports aligned with TRIPOD+AI reporting guidance (Collins et al. (2024 <doi:10.1136/bmj-2023-078378>)) for reproducible, guideline-aligned research.
Author: Uwakmfon Paul [aut, cre, cph]
Maintainer: Uwakmfon Paul <uwakmfon31@gmail.com>

Diff between triageR versions 0.1.1 dated 2026-08-02 and 0.2.0 dated 2026-09-04

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Package rregm updated to version 1.4 with previous version 1.3 dated 2026-07-21

Title: Reparameterized Regression Models
Description: Provides estimation and data generation tools for several new regression models, including the gamma, beta, inverse gamma, beta prime, log-normal and log-logistic distributions. These models can be parameterized based on the mean, median, mode, geometric mean and harmonic mean, except for the log-logistic model which is based on alternative parametrizations. For details, see Bourguignon and Gallardo (2025a) <doi:10.1016/j.chemolab.2025.105382> and Bourguignon and Gallardo (2025b) <doi:10.1111/stan.70007>. The package also implements higher-order likelihood inference through Skovgaard-adjusted likelihood ratio statistics and predictive shrinkage estimators reparameterized beta regression models.
Author: Diego Gallardo [aut, cre], Marcelo Bourguignon [aut], Marcia Brandao [aut], Tiago Magalhaes [ctb], Rafael Izbicki [ctb]
Maintainer: Diego Gallardo <dgallardo@ubiobio.cl>

Diff between rregm versions 1.3 dated 2026-07-21 and 1.4 dated 2026-09-04

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Package plugdensity updated to version 0.8-6 with previous version 0.8-5 dated 2023-12-08

Title: Plug-in Kernel Density Estimation
Description: Kernel density estimation with global bandwidth selection via "plug-in".
Author: Eva Herrmann [aut] , Martin Maechler [cre, aut]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between plugdensity versions 0.8-5 dated 2023-12-08 and 0.8-6 dated 2026-09-04

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Package tesseract updated to version 5.3.0 with previous version 5.2.5 dated 2026-01-26

Title: Open Source OCR Engine
Description: Bindings to 'Tesseract': a powerful optical character recognition (OCR) engine that supports over 100 languages. The engine is highly configurable in order to tune the detection algorithms and obtain the best possible results.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between tesseract versions 5.2.5 dated 2026-01-26 and 5.3.0 dated 2026-09-04

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New package plotomics with initial version 0.1.0
Package: plotomics
Title: High-Performance Bioinformatics Visualizations
Version: 0.1.0
Description: Lightweight, GPU-accelerated bioinformatics visualization widgets (volcano plots, expression and clustered heatmaps, dot plots, stacked violins, embeddings, spatial tissue maps, oncoprints, protein domain lollipops, Kaplan-Meier curves, mutational signature profiles, UpSet plots, treemaps, networks and Hi-C contact matrices) backed by a shared JavaScript core and exposed to R through 'htmlwidgets'. Designed for large datasets that render smoothly in the browser, the 'RStudio' Viewer, R Markdown, Quarto and Shiny.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: htmlwidgets
Suggests: knitr, rmarkdown, shiny, testthat (>= 3.0.0), survival
VignetteBuilder: knitr
URL: https://github.com/samuelbharti/plotomics, https://doi.org/10.5281/zenodo.21926306
BugReports: https://github.com/samuelbharti/plotomics/issues
NeedsCompilation: no
Packaged: 2026-08-24 10:10:36 UTC; Samuel
Author: Samuel Bharti [aut, cre]
Maintainer: Samuel Bharti <samuelbharti.io@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-04 21:50:02 UTC

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Package choicer updated to version 0.2.1 with previous version 0.2.0 dated 2026-07-13

Title: Discrete Choice Models for Economic Applications
Description: Fast estimation of discrete-choice models for applied economics. Frequentist likelihoods, analytical gradients, and Hessians are implemented in C++ with 'OpenMP' parallelism, scaling efficiently to specifications with many alternative-specific constants. Compiled Gibbs samplers provide Bayesian multinomial probit and hierarchical models. Post-estimation routines cover predicted shares, own- and cross-price elasticities, diversion ratios, willingness to pay, and welfare counterfactuals. Supports multinomial logit ('MNL'), mixed logit ('MXL'), nested logit ('NL'), Bayesian multinomial probit ('MNP'), and hierarchical Bayesian multinomial logit and probit ('HMNL', 'HMNP').
Author: Fernando Cordeiro [aut, cre, cph]
Maintainer: Fernando Cordeiro <fernandolpcordeiro@gmail.com>

Diff between choicer versions 0.2.0 dated 2026-07-13 and 0.2.1 dated 2026-09-04

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New package syrona with initial version 0.2.1
Package: syrona
Title: Stratified Prevalence Comparison Across OMOP CDM Datasets
Version: 0.2.1
Description: Derives stratified prevalence tables from the condition, procedure, and drug records in OMOP CDM (Observational Medical Outcomes Partnership Common Data Model) databases, computes log2 prevalence ratios between paired datasets, and synthesizes them via random-effects meta-analysis at multiple aggregation levels (year, age group, and sex). Between-study variance is estimated with the Paule-Mandel method, as described in Paule and Mandel (1982) <doi:10.6028/jres.087.022>.
License: MIT + file LICENSE
URL: https://github.com/HealthInformaticsUT/Syrona
BugReports: https://github.com/HealthInformaticsUT/Syrona/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.1.0), dbplyr (>= 2.3.0), DBI (>= 1.2.0), CDMConnector (>= 2.0.0), omopgenerics (>= 1.3.0), tibble, tidyr, cli, rlang, shiny, ggplot2, ggiraph, ggtext, scales, grDevices, stats, readr (>= 2.0.0), meta (>= 6.0.0)
Suggests: testthat (>= 3.0.0), duckdb (>= 0.9.0), RPostgres, CohortConstructor (>= 0.6.0), DT, shinycssloaders, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-06 12:34:32 UTC; maarjapajusalu
Author: Maarja Pajusalu [aut, cre]
Maintainer: Maarja Pajusalu <maarja.pajusalu@ut.ee>
Repository: CRAN
Date/Publication: 2026-09-04 20:10:02 UTC

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New package bGMYC4 with initial version 4.1.6
Package: bGMYC4
Title: Bayesian General Mixed Yule-Coalescent Model for Species Delimitation
Version: 4.1.6
Description: Implements a Bayesian version of the general mixed Yule-coalescent model for species delimitation. It uses Markov Chain Monte Carlo simulation to evaluate the posterior distribution of the model and supports flexible prior specification on model parameters.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: ape (>= 5.0), future, future.apply
Suggests: mcmcse, plotly, base64enc, testthat (>= 3.0.0), knitr, rmarkdown, htmltools, htmlwidgets, treeio, ggtree, dplyr
VignetteBuilder: knitr, rmarkdown
URL: https://github.com/DmitryKarabanov/bGMYC4
BugReports: https://github.com/DmitryKarabanov/bGMYC4/issues
NeedsCompilation: no
Packaged: 2026-08-24 07:20:13 UTC; Professional
Author: Noah Reid [aut, cph] , Dmitry Karabanov [aut, cre]
Maintainer: Dmitry Karabanov <dk@ibiw.ru>
Repository: CRAN
Date/Publication: 2026-09-04 20:30:02 UTC

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New package AugmentedPooledRCBD with initial version 0.1.0
Package: AugmentedPooledRCBD
Title: Augmented Pooled Randomized Complete Block Design Analysis
Version: 0.1.0
Maintainer: Santosha Rathod <santoshagriculture@gmail.com>
Description: Augmented randomized complete block designs (augmented RCBDs) are useful for researchers to evaluate large numbers of unreplicated test entries with limited replicated checks. This R and 'Shiny'-based statistical package provides methods for the analysis of augmented randomized complete block designs (augmented RCBDs) across multiple environments. The package performs environment-wise augmented RCBD analysis and pooled analysis across environments, including analysis of variance (ANOVA), testing for homogeneity of error variances across environments, adjusted treatment means, treatment sum-of-squares partitioning, standard error of the mean (SEM), critical difference (CD), and treatment ranking. For pooled analysis, environment-specific error variances are assessed for homogeneity and used for appropriate transformation where required, followed by a general linear model incorporating environment, block nested within environment, treatment, and environment x treatment interaction. This [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: car, dplyr, emmeans, shiny, DT, shinybusy, rlang
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-24 05:58:45 UTC; Dr. Santosh Rathod
Author: Santosha Rathod [aut, cre, ctb], Susheel Kumar Sarkar [aut, ctb], Bijoy Chanda [aut, ctb], Bellamkonda Jyostna [aut], Sayantani Karmakar [aut], Vishnu Shankar [aut], Santosh Ganapati Patil [aut], Prabhat Kumar [aut], Prashant Vikram [aut], Mrinmoy Ra [...truncated...]
Repository: CRAN
Date/Publication: 2026-09-04 19:50:09 UTC

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New package ambre with initial version 2.1.2
Package: ambre
Title: Multi-Barrier Approach for Water Reuse Risk Assessment
Version: 2.1.2
Description: Provides a Quantitative Microbial Risk Assessment (QMRA) framework for the reuse of treated wastewater in agricultural irrigation. Following a multi-barrier approach, the package simulates pathogen inflow and removal along a treatment train, estimates human exposure, and computes health risk indicators such as infection probability, illness probability, and Disability-Adjusted Life Years (DALYs). It also supports an economic analysis of the treatment scenarios considered. For more details see <doi:10.36904/20240595>.
License: MIT + file LICENSE
URL: https://forge.inrae.fr/reversaal/reut/ambre-package
BugReports: https://forge.inrae.fr/reversaal/reut/ambre-package/-/issues
Depends: R (>= 4.1.0)
Imports: colorspace, cowplot, dplyr, EnvStats, formattable, ggplot2, plyr, purrr, readxl, rlang, scales, sfsmisc, stats, stringr, tibble, tidyr, utils
Suggests: knitr, rmarkdown, spelling, testthat, writexl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-24 06:34:38 UTC; flgirard
Author: Flora Girard [aut, cre] , Nicolas Forquet [ctb] , Arthur Breant [ctb], Colin Fay [ctb]
Maintainer: Flora Girard <flora.girard@inrae.fr>
Repository: CRAN
Date/Publication: 2026-09-04 19:50:02 UTC

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Package unsum updated to version 0.3.0 with previous version 0.2.0 dated 2025-06-19

Title: Reconstruct Raw Data from Summary Statistics
Description: Reconstructs all possible raw data that could have led to reported summary statistics. Provides a wrapper for the 'Rust' implementation of the 'CLOSURE' algorithm.
Author: Lukas Jung [aut, cre], Nathanael Larigaldie [ctb]
Maintainer: Lukas Jung <jung-lukas@gmx.net>

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Package osmapiR updated to version 0.2.6 with previous version 0.2.5 dated 2026-02-15

Title: 'OpenStreetMap' API
Description: Interface to 'OpenStreetMap API' for fetching and saving data from/to the 'OpenStreetMap' database (<https://wiki.openstreetmap.org/wiki/API_v0.6>).
Author: Joan Maspons [aut, cre, cph] , Jon Harmon [rev] , Carlos Camara [rev]
Maintainer: Joan Maspons <joanmaspons@gmail.com>

Diff between osmapiR versions 0.2.5 dated 2026-02-15 and 0.2.6 dated 2026-09-04

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 osmapiR-0.2.6/osmapiR/R/osmapi_gps_traces.R                                                 |   10 
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 osmapiR-0.2.6/osmapiR/man/osm_get_notes.Rd                                                  |   12 
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Permanent link

Package orbital updated to version 0.7.0 with previous version 0.5.1 dated 2026-03-13

Title: Predict with 'tidymodels' Workflows in Databases
Description: Turn 'tidymodels' workflows into objects containing the sufficient sequential equations to perform predictions. These smaller objects allow for low dependency prediction locally or directly in databases.
Author: Emil Hvitfeldt [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

Diff between orbital versions 0.5.1 dated 2026-03-13 and 0.7.0 dated 2026-09-04

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More information about orbital at CRAN
Permanent link

Package TrialSimulator updated to version 1.35.8 with previous version 1.20.1 dated 2026-06-15

Title: Clinical Trial Simulator
Description: Simulate phase II and/or phase III clinical trials. It supports various types of endpoints and adaptive strategies. Tools for carrying out graphical testing procedure and combination test under group sequential design are also provided.
Author: Han Zhang [cre, aut]
Maintainer: Han Zhang <zhangh.ustc@gmail.com>

Diff between TrialSimulator versions 1.20.1 dated 2026-06-15 and 1.35.8 dated 2026-09-04

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More information about TrialSimulator at CRAN
Permanent link

Package PBD updated to version 1.6 with previous version 1.4 dated 2017-05-04

Title: Protracted Birth-Death Model of Diversification
Description: Conducts maximum likelihood analysis and simulation of the protracted birth-death model of diversification. See Etienne, R.S. & J. Rosindell 2012 <doi:10.1093/sysbio/syr091>; Lambert, A., H. Morlon & R.S. Etienne 2014, <doi:10.1007/s00285-014-0767-x>; Etienne, R.S., H. Morlon & A. Lambert 2014, <doi:10.1111/evo.12433>.
Author: Rampal S. Etienne [aut, cre] , Bart Haegeman [aut] , Richel J.C. Bilderbeek [ctb] , Thijs Janzen [ctb] , Raphael Scherrer [ctb]
Maintainer: Rampal S. Etienne <r.s.etienne@rug.nl>

Diff between PBD versions 1.4 dated 2017-05-04 and 1.6 dated 2026-09-04

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Package fz updated to version 1.2.0 with previous version 1.1 dated 2026-06-29

Title: R Wrapper for the 'funz-fz' Parametric Simulation Framework
Description: Provides R bindings to the 'funz-fz' Python package using 'reticulate'. The 'fz' framework wraps arbitrary simulation codes to run parameter sweeps, design-of-experiments studies, and iterative algorithm-driven analyses by substituting variable placeholders in text input files and collecting outputs into data frames. Calculators can run locally (shell), over SSH, or on 'SLURM' clusters. See <https://github.com/Funz/fz> for the underlying framework.
Author: Yann Richet [aut, cre]
Maintainer: Yann Richet <yann.richet@asnr.fr>

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Package cardinalfda updated to version 0.3.0 with previous version 0.2.0 dated 2026-08-04

Title: FDA Safety Tables and Figures
Description: Provides implementations of safety tables and figures recommended by the FDA (U.S. Food and Drug Administration) for clinical trial reporting. Functions generate standard outputs for adverse events, laboratory abnormalities, vital signs, exposure, and other safety domains following the FDA's Safety Reporting guidelines. Outputs are built on the 'gtsummary', 'cards', and 'cardx' frameworks, enabling reproducible and submission-ready clinical trial safety summaries.
Author: Pawel Rucki [ctb], Abinaya Yogasekaram [aut] , Joe Zhu [cre] , Daniel D. Sjoberg [ctb] , Emily de la Rua [aut] , Davide Garolini [aut] , Vincent Shen [aut], Benoit Falquet [ctb] , Lluis Revilla Sancho [ctb] , Huan Lu [ctb], Alex Assuied [ctb], Yoshit [...truncated...]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package msprog updated to version 1.0.1 with previous version 1.0.0 dated 2026-06-23

Title: Reproducible Assessment of Disability Course in Multiple Sclerosis
Description: Analyse disability course in multiple sclerosis (MS) from longitudinal data. The package provides a flexible framework for identifying disability events under user-specified criteria, allowing adaptation to different study designs and endpoints. Tools are included to facilitate transparent and reproducible reporting of the settings used in the analysis. For consensus-based recommendations on endpoint calculation and use of the package, see Montobbio et al. (2026) <doi:10.1177/13524585261478492>. For the original description of the computational framework and illustrative applications, see Montobbio et al. (2024) <doi:10.1177/13524585241243157>.
Author: Noemi Montobbio [aut, cre] , Francesca Bovis [rev], Luca Carmisciano [rev]
Maintainer: Noemi Montobbio <noemi.montobbio@gmail.com>

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Package MergeKmeans updated to version 0.3.0 with previous version 0.2.0 dated 2026-07-19

Title: Clustering Large Datasets by Merging K-Means Solutions
Description: Fast clustering of large datasets by hierarchically merging components of a K-means solution based on the pairwise overlap between the Gaussian mixture components implied by the K-means partition, as proposed by Melnykov and Michael (2020) <doi:10.1007/s00357-019-09314-8>. Implements the DEMP-K merging algorithm with single, Ward's, average, and complete linkages, the overlap map display for selecting the number of clusters, four K-means variants corresponding to Gaussian mixtures with spherical or elliptical, homoscedastic or heteroscedastic components, and a tool for selecting the number of K-means components.
Author: Aqi Dong [aut, cre] , Volodymyr Melnykov [aut], Yang-Li Liao [aut], Peng Li [aut], Xuejian Li [aut]
Maintainer: Aqi Dong <donga2@erau.edu>

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Package MachineShop updated to version 3.9.4 with previous version 3.9.3 dated 2026-06-26

Title: Machine Learning Models and Tools
Description: Meta-package for statistical and machine learning with a unified interface for model fitting, prediction, performance assessment, and presentation of results. Approaches for model fitting and prediction of numerical, categorical, or censored time-to-event outcomes include traditional regression models, regularization methods, tree-based methods, support vector machines, neural networks, ensembles, data preprocessing, filtering, and model tuning and selection. Performance metrics are provided for model assessment and can be estimated with independent test sets, split sampling, cross-validation, or bootstrap resampling. Resample estimation can be executed in parallel for faster processing and nested in cases of model tuning and selection. Modeling results can be summarized with descriptive statistics; calibration curves; variable importance; partial dependence plots; confusion matrices; and ROC, lift, and other performance curves.
Author: Brian J Smith [aut, cre]
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>

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Package fdm2id updated to version 1.0.1 with previous version 1.0.0 dated 2026-08-28

Title: Data Mining and R Programming for Beginners
Description: Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Données en Master 2 Informatique Décisionnelle".
Author: Alexandre Blansche [aut, cre]
Maintainer: Alexandre Blansche <alexandre.blansche@univ-lorraine.fr>

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Package bigrquerystorage updated to version 1.2.3 with previous version 1.2.2 dated 2025-01-07

Title: An Interface to Google's 'BigQuery Storage' API
Description: Easily talk to Google's 'BigQuery Storage' API from R (<https://docs.cloud.google.com/bigquery/docs/reference/storage/rpc>).
Author: Bruno Tremblay [aut, cre], Google LLC [cph, fnd]
Maintainer: Bruno Tremblay <openr@neoxone.com>

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Package opdisDownsampling updated to version 1.7 with previous version 1.6 dated 2026-06-25

Title: Optimal Distribution Preserving Down-Sampling of Bio-Medical Data
Description: An optimized method for distribution-preserving class-proportional down-sampling of bio-medical data <doi:10.1371/journal.pone.0255838>.
Author: Jorn Lotsch [aut, cre] , Sebastian Malkusch [aut] , Alfred Ultsch [aut]
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>

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Package esviz updated to version 0.0.4 with previous version 0.0.3 dated 2026-05-28

Title: Plotting Functions for Climate Science and Services
Description: A plotting package for climate science and services. Provides a set of functions for visualizing climate data, including maps, time series, scorecards and other diagnostics. Some functions are adapted and extended from the 's2dv' and 'CSTools' packages (Manubens et al. (2018) <doi:10.1016/j.envsoft.2018.01.018>; Pérez-Zanón et al. (2022) <doi:10.5194/gmd-15-6115-2022>), with more consistent and integrated functionalities.
Author: BSC-CNS [aut, cph], An-Chi Ho [aut], Eva Rifa [ctb], Victoria Agudetse [ctb], Ariadna Batalla [ctb, cre], Nuria Perez-Zanon [ctb], Nadia Milders [ctb], Veronica Torralba [ctb], Raul Capellan [ctb], Anindita Patra [ctb]
Maintainer: Ariadna Batalla <ariadna.batalla@bsc.es>

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Package crops updated to version 1.0.4 with previous version 1.0.3 dated 2022-08-05

Title: Changepoints for a Range of Penalties (CROPS)
Description: Implements the Changepoints for a Range of Penalties (CROPS) algorithm of Haynes et al. (2017) <doi:10.1080/10618600.2015.1116445> for finding all of the optimal segmentations for multiple penalty values over a continuous range.
Author: Daniel Grose [aut, cre], Paul Fearnhead [aut], Idris Eckley [ctb]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>

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Package smooth updated to version 4.5.2 with previous version 4.5.1 dated 2026-09-03

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

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Package oeli updated to version 0.7.7 with previous version 0.7.6 dated 2026-04-23

Title: Some Utilities for Developing Data Science Software
Description: A collection of general-purpose helper functions that I (and maybe others) find useful when developing data science software. Includes tools for simulation, data transformation, input validation, and more.
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package AIDA updated to version 0.2.1 with previous version 0.2.0 dated 2026-06-30

Title: Analysis of Interval DAta
Description: Tools for the analysis of interval-valued data, including construction, visualization, and statistical modeling. The package provides the 'intData' class for representing interval-valued data, along with functions to aggregate microdata and to estimate parameters of latent distributions. Barycenter and covariance matrix estimation is implemented based on the Mallows distance (Oliveira et al. (2025) <doi:10.48550/arXiv.2407.05105>). Robust estimation of the symbolic covariance matrix is implemented via the Interval Minimum Covariance Determinant (IMCD) estimator, enabling outlier detection based on the robust squared Interval-Mahalanobis distance, as proposed by Loureiro et al. (2026b) <doi:10.48550/arXiv.2604.26769>. Explainable outlier detection is supported through Shapley value based decomposition of the squared robust Interval-Mahalanobis distance, allowing assessment of variable contributions to outlyingness (Loureiro et al. (2026a) <doi:10.48550/arXiv.2606.26307> [...truncated...]
Author: Catarina P. Loureiro [aut, cre]
Maintainer: Catarina P. Loureiro <catarinapadrela@tecnico.ulisboa.pt>

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Package GIMMEgVAR (with last version 0.1.0) was removed from CRAN

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

2024-05-16 0.1.0

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Package soc.ca readmission to version 0.8.2 with previous version 0.8.1 dated 2025-08-25

Title: Specific Correspondence Analysis for the Social Sciences
Description: Specific and class specific multiple correspondence analysis on survey-like data. Soc.ca is optimized to the needs of the social scientist and presents easily interpretable results in near publication ready quality.
Author: Anton Grau Larsen [aut, cre], Jacob Lunding [aut], Stefan Andrade [aut]
Maintainer: Anton Grau Larsen <agraul@ruc.dk>

This is a re-admission after prior archival of version 0.8.1 dated 2025-08-25

Diff between soc.ca versions 0.8.1 dated 2025-08-25 and 0.8.2 dated 2026-09-04

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Package RPIV updated to version 1.1.1 with previous version 1.1.0 dated 2026-03-24

Title: Residual Prediction Tests for Well-Specification of Instrumental Variable Models
Description: Two tests for the well-specification of the linear instrumental variable model. The first test is based on trying to predict the residuals of a two-stage least-squares regression using a random forest. The second test is robust to weak-identification and based on trying to predict the residuals for a particular candidate parameter and can also be used to construct confidence sets with an Anderson-Rubin-type inversion. Details can be found in Scheidegger, Londschien and Bühlmann (2025) "Machine-learning-powered specification testing in linear instrumental variable models" <doi:10.48550/arXiv.2506.12771>.
Author: Cyrill Scheidegger [aut, cre, cph]
Maintainer: Cyrill Scheidegger <cyscheidegger@gmail.com>

Diff between RPIV versions 1.1.0 dated 2026-03-24 and 1.1.1 dated 2026-09-04

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Package rlas readmission to version 1.9.5 with previous version 1.9.3 dated 2026-06-02

Title: Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data
Description: Read and write 'las' and 'laz' binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing <https://community.asprs.org/leadership-restricted/leadership-content/public-documents/standards>. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.4 <https://laszip.org/>.
Author: Jean-Romain Roussel [aut, cre, cph], Florian De Boissieu [ctb] , Martin Isenburg [cph] , rapidlasso GmbH [cph] , Alexey Grigoryev [ctb, cph] , David Auty [ctb] , Pierrick Marie [ctb] , Tiago de Conto [ctb]
Maintainer: Jean-Romain Roussel <info@r-lidar.com>

This is a re-admission after prior archival of version 1.9.3 dated 2026-06-02

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Package proximetricsR updated to version 0.7.1 with previous version 0.7.0 dated 2026-08-04

Title: Spectral Preprocessing and Chemometric Calibration of NIR Sensors
Description: Provides tools to build quantitative chemometric models and applications for near-infrared (NIR) sensors. Chemometric regression models are based on partial least squares regression as described by Wold (1975) <doi:10.1016/B978-0-12-103950-9.50017-4> and modified partial least squares regression as described by Shenk and Westerhaus (1991) <doi:10.2135/cropsci1991.0011183X003100020049x>, with further discussion by Westerhaus (2014) <doi:10.1255/nirn.1492>.
Author: Leonardo Ramirez-Lopez [aut, cre] , Claudio Orellano [aut] , Nicolae Cudlenco [aut] , Mai Said [aut] , Mohamed Abushosha [aut], Marcal Plans [aut]
Maintainer: Leonardo Ramirez-Lopez <ramirez-lopez.l@buchi.com>

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Package IVDML updated to version 1.0.2 with previous version 1.0.1 dated 2025-12-12

Title: Double Machine Learning with Instrumental Variables and Heterogeneity
Description: Instrumental variable (IV) estimators for homogeneous and heterogeneous treatment effects with efficient machine learning instruments. The estimators are based on double/debiased machine learning allowing for nonlinear and potentially high-dimensional control variables. Details can be found in Scheidegger, Guo and Bühlmann (2025) "Inference for heterogeneous treatment effects with efficient instruments and machine learning" <doi:10.48550/arXiv.2503.03530>.
Author: Cyrill Scheidegger [aut, cre, cph]
Maintainer: Cyrill Scheidegger <cyscheidegger@gmail.com>

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Package EBASS updated to version 0.1.2 with previous version 0.1.1 dated 2026-08-04

Title: Expected Value of Information Based Sample Size Calculation
Description: Computes sample sizes for trial-based cost-effectiveness analyses using the expected value of information. The implementation follows the method described by Bader et al. (2018) <doi:10.1186/s12874-018-0571-1>.
Author: Audrey Cordon [aut, cre], Clement Bader [ctb], Morgane Donadel [ctb], Aline Maillard [ctb], Sebastien Cossin [ctb], Mohamedou Sow [ctb], Antoine Benard [ctb]
Maintainer: Audrey Cordon <astreinte.usmr@chu-bordeaux.fr>

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Package BBEST updated to version 0.1-9 with previous version 0.1-8 dated 2020-11-19

Title: Bayesian Estimation of Incoherent Neutron Scattering Backgrounds
Description: We implemented a Bayesian-statistics approach for subtraction of incoherent scattering from neutron total-scattering data. In this approach, the estimated background signal associated with incoherent scattering maximizes the posterior probability, which combines the likelihood of this signal in reciprocal and real spaces with the prior that favors smooth lines. The description of the corresponding approach could be found at Gagin and Levin (2014) <DOI:10.1107/S1600576714023796>.
Author: Anton Gagin [aut, cre], Igor Levin [aut], Charles R. Hogg III [ctb]
Maintainer: Anton Gagin <av.gagin@gmail.com>

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Package vazul updated to version 1.2.0 with previous version 1.1.0 dated 2026-02-07

Title: Analysis Blinding Tools
Description: Provides tools for analysis blinding in confirmatory research contexts by masking and scrambling test-relevant aspects of data. Vector-, data frame-, and row-wise operations support blinding for hierarchical and repeated-measures designs. For more details see MacCoun and Perlmutter (2015) <doi:10.1038/526187a> and Dutilh, Sarafoglou, and Wagenmakers (2019) <doi:10.1007/s11229-019-02456-7>.
Author: Tamas Nagy [aut, cre] , Alexandra Sarafoglou [aut, dtc] , Marton Kovacs [aut]
Maintainer: Tamas Nagy <nagytamas.hungary@gmail.com>

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Package frheritage updated to version 0.1.2 with previous version 0.1.1 dated 2026-04-17

Title: R Interface to Get French Heritage Data
Description: Get spatial vector data from the Atlas du Patrimoine (<http://atlas.patrimoines.culture.fr/atlas/trunk/>), the official national platform of the French Ministry of Culture, and facilitate its use within R geospatial workflows. The package provides functions to list available heritage datasets, query and retrieve heritage data using spatial queries based on user-provided sf objects, perform spatial filtering operations, and return results as sf objects suitable for spatial analysis, mapping, and integration into heritage management and landscape studies.
Author: Matthieu Chevereau [aut, cre]
Maintainer: Matthieu Chevereau <matthieu.chevereau@hotmail.fr>

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Package routing updated to version 1.1.1 with previous version 1.1.0 dated 2026-05-12

Title: 'Express.js' Like Routing for R Web Frameworks
Description: It aims to provide R web frameworks a routing mechanism of HTTP requests inspired by the battle tested 'Express.js' web framework.
Author: Julio Collazos [aut, cre] , router contributors [ctb, cph]
Maintainer: Julio Collazos <amarullazo626@gmail.com>

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Package kofdata (with last version 0.2.1) was removed from CRAN

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

2024-02-03 0.2.1

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Package namedropR (with last version 2.4.1) was removed from CRAN

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

2022-08-28 2.4.1
2022-05-18 2.3.3
2022-05-09 2.3.2
2022-02-13 2.2.3
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2022-01-18 2.1.1

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Package weightedGCM updated to version 0.1.2 with previous version 0.1.1 dated 2025-12-12

Title: Weighted Generalised Covariance Measure Conditional Independence Test
Description: A conditional independence test that can be applied both to univariate and multivariate random variables. The test is based on a weighted form of the sample covariance of the residuals after a nonlinear regression on the conditioning variables. Details are described in Scheidegger, Hoerrmann and Buehlmann (2022) "The Weighted Generalised Covariance Measure" <http://jmlr.org/papers/v23/21-1328.html>. The test is a generalisation of the Generalised Covariance Measure (GCM) implemented in the R package 'GeneralisedCovarianceMeasure' by Jonas Peters and Rajen D. Shah based on Shah and Peters (2020) "The Hardness of Conditional Independence Testing and the Generalised Covariance Measure" <doi:10.1214/19-AOS1857>.
Author: Cyrill Scheidegger [aut, cre, cph], Julia Hoerrmann [ths], Peter Buehlmann [ths], Jonas Peters [ctb, cph] , Rajen D. Shah [ctb, cph]
Maintainer: Cyrill Scheidegger <cyscheidegger@gmail.com>

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Package multiSA updated to version 0.5.0 with previous version 0.4.0 dated 2026-06-27

Title: Multi-Stock Assessment
Description: Implementation of a next-generation, multi-stock age-structured fisheries assessment model. 'multiSA' is intended for use in mixed fisheries where stock composition can not be readily identified in fishery data alone, e.g., from catch and age/length composition. Models can be fitted to genetic data, e.g., stock composition of catches and close-kin pairs, with seasonal stock availability and movement.
Author: Quang Huynh [aut, cre]
Maintainer: Quang Huynh <quang@bluematterscience.com>

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Package mcauchyd (with last version 1.3.6) was removed from CRAN

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

2026-08-25 1.3.6
2024-12-22 1.3.3
2024-07-05 1.3.2
2024-01-10 1.2.0
2023-03-03 1.0.2

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Package redlist updated to version 0.3.0 with previous version 0.2.0 dated 2025-08-20

Title: Interface to the IUCN Red List Data with Risk Metrics
Description: Access species conservation data from the International Union for Conservation of Nature (IUCN) Red List API <https://api.iucnredlist.org/api-docs/index.html>, including assessments, taxonomy, threats, habitats and historical status. The package also reconciles taxonomic names between the IUCN Red List and the Global Biodiversity Information Facility (GBIF), retrieves and checks GBIF occurrence records, and computes the range and population metrics of the IUCN Red List Categories and Criteria (IUCN Standards and Petitions Committee, 2024, <https://cmsdocs.s3.amazonaws.com/RedListGuidelines.pdf>): extent of occurrence and area of occupancy for criterion B, and population reduction for criterion A.
Author: Stanislas Mahussi Gandaho [aut, cre] , R Consortium [fnd]
Maintainer: Stanislas Mahussi Gandaho <stangandaho@gmail.com>

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Package ravetools updated to version 0.3.2 with previous version 0.3.1 dated 2026-08-31

Title: Signal and Image Processing Toolbox for Analyzing Intracranial Electroencephalography Data
Description: Implemented fast and memory-efficient Notch-filter, Welch-periodogram, discrete wavelet spectrogram for minutes of high-resolution signals, fast 3D convolution, image registration, 3D mesh manipulation; providing fundamental toolbox for intracranial Electroencephalography (iEEG) pipelines. Documentation and examples about 'RAVE' project are provided at <https://rave.wiki>, and the paper by John F. Magnotti, Zhengjia Wang, Michael S. Beauchamp (2020) <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("ravetools")' for details.
Author: Zhengjia Wang [aut, cre] , John Magnotti [aut], Michael Beauchamp [aut], Trustees of the University of Pennsylvania [cph] , Karim Rahim [cph, ctb] , Thomas Possidente [cph, ctb] , Michael Prerau [cph, ctb] , Marcus Geelnard [ctb, cph] , Stefan Schlag [...truncated...]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package ramchoice updated to version 3.0.0 with previous version 2.2 dated 2024-01-22

Title: Revealed Preference and Attention Analysis in Random Limited Attention Models
Description: Implements identification, estimation, inference, and specification procedures for random limited-attention models, including the Random Attention Model of Cattaneo, Ma, Masatlioglu, and Suleymanov (2020) <doi:10.1086/706861> and the Attention Overload Model of Cattaneo, Cheung, Ma, and Masatlioglu (2026) <doi:10.48550/arXiv.2110.10650>. The methods use standard choice data to partially identify preferences and attention and provide simulation-based procedures for statistical inference.
Author: Matias D. Cattaneo [aut, cre], Paul Cheung [aut], Xinwei Ma [aut], Yusufcan Masatlioglu [aut], Elchin Suleymanov [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

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Package postlink updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-15

Title: Post-Linkage Data Analysis
Description: Provides a suite of statistical tools for post-linkage data analysis (PLDA), designed to account for record linkage errors in downstream modeling. The package implements a familiar, formula-based regression interface that adjusts for linkage uncertainty, accommodating workflows where direct access to unlinked primary files is restricted. It consolidates diverse adjustment methodologies, all of which support generalized linear models (linear, logistic, Poisson, and Gamma). These methodologies include weighting approaches (Chambers (2009) <https://hdl.handle.net/10779/uow.27788247>; Chambers et al. (2023) <doi:10.1002/wics.1596>), mixture modeling (Slawski et al. (2025) <doi:10.1093/jrsssa/qnae083>), and Bayesian mixture modeling (Gutman et al. (2016) <doi:10.1002/sim.6586>). For time-to-event data, both the weighting (Vo et al. (2024) <doi:10.1002/sim.9960>) and mixture modeling approaches accommodate Cox proportional hazards models, while the Bayesian appr [...truncated...]
Author: Priyanjali Bukke [aut, cre], Gauri Kamat [aut], Jiahao Cui [aut], Roee Gutman [aut], Martin Slawski [aut], Zhenbang Wang [ctb], Brady T. West [ctb], Emanuel Ben-David [ctb], Guoqing Diao [ctb]
Maintainer: Priyanjali Bukke <postlink.group@gmail.com>

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Package gloBFPr updated to version 2.0.0 with previous version 0.1.3 dated 2025-06-18

Title: Urban Environment Analysis Using Global Building Height Datasets
Description: Automated access and analysis of multidimensional building profile in cities. The package provides tools to access, search, and download global 3D building footprint datasets. It includes functions to retrieve building height tiles, compute a range of 2D/2.5D building morphology metrics, assess environmental context (e.g., greenery accessibility), aggregate metrics to the city-block scale, support noise, shadow/radiation, and wind simulation, export study areas as 3D scenes (terrain, buildings, canopy) for 3D modeling software, such as Rhino3D and Blender.
Author: Xiaohao Yang [aut, cre, cph]
Maintainer: Xiaohao Yang <xiaohaoy111@gmail.com>

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Package ellmer updated to version 0.5.0 with previous version 0.4.2 dated 2026-07-13

Title: Chat with Large Language Models
Description: Chat with large language models from a range of providers including 'Claude' <https://claude.ai>, 'OpenAI' <https://chatgpt.com>, and more. Supports streaming, asynchronous calls, tool calling, and structured data extraction.
Author: Hadley Wickham [aut, cre] , Joe Cheng [aut], Aaron Jacobs [aut], Garrick Aden-Buie [aut] , Barret Schloerke [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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 250 files changed, 15938 insertions(+), 7112 deletions(-)

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Package tidypredict updated to version 1.2.0 with previous version 1.1.1 dated 2026-08-24

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 testit updated to version 1.1.2 with previous version 1.1 dated 2026-06-18

Title: A Simple Package for Testing R Packages
Description: A minimal, dependency-free testing framework for R packages. Write tests as simple R expressions that return TRUE, using assert() for assertions (with informative error messages on failure), has_error() / has_warning() / has_message() for testing conditions, and test_pkg() to run all tests with full access to internal (non-exported) package functions. Snapshot testing via Markdown files is also supported.
Author: Yihui Xie [aut, cre] , Tomas Kalibera [ctb], Steven Mortimer [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between testit versions 1.1 dated 2026-06-18 and 1.1.2 dated 2026-09-04

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Package Require updated to version 2.1.1 with previous version 2.1.0 dated 2026-08-29

Title: Installing and Loading R Packages for Reproducible Workflows
Description: A single key function, 'Require' that makes rerun-tolerant versions of 'install.packages' and 'require' for CRAN packages, packages no longer on CRAN (i.e., archived), specific versions of packages, and GitHub packages. This approach is developed to create reproducible workflows that are flexible and fast enough to use while in development stages, while able to build snapshots once a stable package collection is found. As with other functions in a reproducible workflow, this package emphasizes functions that return the same result whether it is the first or subsequent times running the function, with subsequent times being sufficiently fast that they can be run every time without undue waiting burden on the user or developer.
Author: Eliot J B McIntire [aut, cre] , Alex M Chubaty [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

Diff between Require versions 2.1.0 dated 2026-08-29 and 2.1.1 dated 2026-09-04

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Package mRMRe updated to version 2.1.3.1 with previous version 2.1.2.2 dated 2024-11-05

Title: Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
Description: Computes mutual information matrices from continuous, categorical and survival variables, as well as feature selection with minimum redundancy, maximum relevance (mRMR) and a new ensemble mRMR technique. Published in De Jay et al. (2013) <doi:10.1093/bioinformatics/btt383>.
Author: Nicolas De Jay [aut], Simon Papillon-Cavanagh [aut], Catharina Olsen [aut], Gianluca Bontempi [aut], Bo Li [aut], Christopher Eeles [ctb], Benjamin Haibe-Kains [aut, cre]
Maintainer: Benjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>

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Package gtsummary updated to version 2.6.1 with previous version 2.6.0 dated 2026-08-25

Title: Presentation-Ready Data Summary and Analytic Result Tables
Description: Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.
Author: Daniel D. Sjoberg [aut, cre] , Joseph Larmarange [aut] , Michael Curry [aut] , Emily de la Rua [aut] , Jessica Lavery [aut] , Karissa Whiting [aut] , Emily C. Zabor [aut] , Xing Bai [ctb], Malcolm Barrett [ctb] , Esther Drill [ctb] , Jessica Flynn [c [...truncated...]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Package fungible updated to version 2.4.8 with previous version 2.4.7 dated 2026-04-07

Title: Psychometric Functions from the Waller Lab
Description: Computes fungible coefficients and Monte Carlo data. Underlying theory for these functions is described in the following publications: Waller, N. (2008). Fungible Weights in Multiple Regression. Psychometrika, 73(4), 691-703, <DOI:10.1007/s11336-008-9066-z>. Waller, N. & Jones, J. (2009). Locating the Extrema of Fungible Regression Weights. Psychometrika, 74(4), 589-602, <DOI:10.1007/s11336-008-9087-7>. Waller, N. G. (2016). Fungible Correlation Matrices: A Method for Generating Nonsingular, Singular, and Improper Correlation Matrices for Monte Carlo Research. Multivariate Behavioral Research, 51(4), 554-568. Jones, J. A. & Waller, N. G. (2015). The normal-theory and asymptotic distribution-free (ADF) covariance matrix of standardized regression coefficients: theoretical extensions and finite sample behavior. Psychometrika, 80, 365-378, <DOI:10.1007/s11336-013-9380-y>. Waller, N. G. (2018). Direct Schmid-Leiman transformations and rank-deficient loadings mat [...truncated...]
Author: Niels Waller [aut, cre], Justin Kracht [ctb], Jeff Jones [ctb], Casey Giordano [ctb], Hoang V Nguyen [ctb]
Maintainer: Niels Waller <nwaller@umn.edu>

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Package crew updated to version 1.3.3 with previous version 1.3.2 dated 2026-07-30

Title: A Distributed Worker Launcher Framework
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Daniel Woodie [ctb], Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between crew versions 1.3.2 dated 2026-07-30 and 1.3.3 dated 2026-09-04

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Package thankr (with last version 1.0.0) was removed from CRAN

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

2017-04-14 1.0.0

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Package growth (with last version 1.1.2) was removed from CRAN

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

2026-02-14 1.1.2
2019-02-04 1.1.1
2016-12-08 1.1.0

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Package quartose updated to version 0.2.1 with previous version 0.2.0 dated 2026-07-25

Title: Dynamically Generate 'Quarto' Syntax
Description: Provides helper functions to work programmatically within a 'Quarto' document. It allows the user to create section headers, tabsets, divs, and spans, and formats these objects into 'Quarto' syntax when printed into a document.
Author: Danielle Navarro [aut, cre, cph]
Maintainer: Danielle Navarro <djnavarro@protonmail.com>

Diff between quartose versions 0.2.0 dated 2026-07-25 and 0.2.1 dated 2026-09-04

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