Thu, 29 Oct 2026

New package RWInfoLSTM with initial version 0.1.0
Package: RWInfoLSTM
Title: Random Walk-Informed LSTM for Time Series Forecasting
Version: 0.1.0
Maintainer: Ranjit Kumar Paul <ranjitstat@gmail.com>
Description: Implements a Random Walk (RW)-informed Long Short-Term Memory (LSTM) network for univariate time series forecasting. The LSTM is trained on the full series with a composite loss that blends the usual mean squared error (MSE) between predictions and observations with the MSE between predictions and the fitted Random Walk, weighted by a parameter lambda (0 gives a standard LSTM, 1 gives a fully RW-guided LSTM). The Random Walk, either simple or with drift, is selected automatically by its in-sample root mean squared error (RMSE), and the lambda value with the lowest training RMSE is retained. The LSTM hyperparameters can be supplied manually or tuned by grid search, and functions for out-of-sample forecasting, accuracy measures and plots are provided. The methodology is motivated by hybrid forecasting framework proposed by Yeasin and Paul (2024) <doi:10.1007/s11227-023-05542-3>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: torch (>= 0.11.0), coro, ggplot2 (>= 3.4.0), cli (>= 3.6.0), stats, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-19 16:24:45 UTC; borap
Author: Md Yeasin [aut], Ranjit Kumar Paul [aut, cre], Pushkar Bora [aut]
Repository: CRAN
Date/Publication: 2026-10-29 12:00:02 UTC

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New package powerup with initial version 0.3.1
Package: powerup
Title: Power Up Your PowerPoint Presentations
Version: 0.3.1
Description: Programmatically interact with new or existing 'Microsoft PowerPoint' documents, by adding new slides, updating existing slides, and inserting displays into specific locations in slides. Users can also add transition effects to slides, and add displays to specific locations in slides by pointing to specific placeholders or creating new ones. Preview the slides in a local viewer.
License: Apache License (>= 2)
URL: https://gsk-biostatistics.github.io/powerup/, https://github.com/GSK-Biostatistics/powerup/
BugReports: https://github.com/GSK-Biostatistics/powerup/issues/
Depends: R (>= 4.1.0), polish (>= 0.2.0)
Imports: rlang, dplyr, officer (>= 0.6.7), purrr, tibble, xml2, cli, glue, ggplot2, htmltools, base64enc, shiny
Suggests: testthat (>= 3.0.0), rmarkdown, webshot2, knitr, flextable, withr
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-19 12:57:39 UTC; ehh82309
Author: Ellis Hughes [aut, cre] , Shannon Haughton [aut], Romain Francois [aut], GlaxoSmithKline Research & Development Limited [cph, fnd]
Maintainer: Ellis Hughes <ellis.h.hughes@gsk.com>
Repository: CRAN
Date/Publication: 2026-10-29 11:50:02 UTC

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New package MultinomFourier with initial version 1.0
Package: MultinomFourier
Title: p-Values of Multinomial Goodness-of-Fit Tests by Fourier Series Inversion
Version: 1.0
Author: Charles Thraves [aut], Pablo Rivas [aut, cre], Felipe Subiabre [aut]
Maintainer: Pablo Rivas <pablo.rivas.g@ug.uchile.cl>
Description: Computes p-values of multinomial goodness-of-fit tests based on an additive statistic: the log-likelihood ratio, Pearson's chi-squared, the Cressie-Read power divergence, and the exact multinomial test. The main function, pval_fourier(), writes the p-value as a Fourier series in the moment-generating function of the statistic and sums it until an adaptive stopping rule is met, which makes small p-values of large instances computationally feasible. The function pval_exact() computes the exact p-value by branch pruning with bounds from a dynamic program, and pval_flexible() chooses between the two according to the size of the instance.
License: GPL (>= 2)
Encoding: UTF-8
Imports: parallel
Suggests: knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-19 16:00:50 UTC; itspa
Repository: CRAN
Date/Publication: 2026-10-29 12:00:07 UTC

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Package movecost updated to version 3.1.0 with previous version 3.0.0 dated 2026-06-15

Title: Calculation of Slope-Dependant Accumulated Cost Surface, Least-Cost Paths, Least-Cost Corridors, Least-Cost Networks Related to Human Movement Across the Landscape
Description: Provides the facility to calculate non-isotropic accumulated cost surfaces, least-cost paths, least-cost corridors, least-cost networks, ranked alternative paths, cost allocation and cost boundaries, using a number of human-movement-related cost functions that can be selected by the user. The terrain factor can be set as a single value or vary across the landscape via a raster of terrain factors or terrain classes. The package is built around a compute-once design: a single cost surface object is created first and then reused by every analysis function, avoiding redundant computation. Visualisation is fully decoupled from computation and is provided through 'ggplot2' methods that can be invoked, customised, and re-invoked at any time without re-running any analysis. It just requires a Digital Terrain Model, a start location and (optionally) destination locations. See Alberti (2019) <doi:10.1016/j.softx.2019.100331>.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

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Package mighty.metadata updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-15

Title: Manage 'CDISC' 'ADaM' Dataset Specifications in 'YAML' Format
Description: Load, validate, and manipulate Clinical Data Interchange Standards Consortium ('CDISC') Analysis Data Model ('ADaM') dataset metadata stored as 'YAML' files. Metadata files are validated against a JSON schema. Provides functions to inspect and modify columns, parameters, and row-level operations within and across 'ADaM' domains. Designed for use with the 'mighty' framework.
Author: Aksel Thomsen [aut, cre], Ari Siggaard Knoph [aut], Matthew Phelps [aut], Giulia Pais [aut], Katarzyna Graczyk [aut], Michael Hedegaard Thomsen [aut], Novo Nordisk A/S [cph]
Maintainer: Aksel Thomsen <oath@novonordisk.com>

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New package MixedDiversityAnalysis with initial version 0.1.0
Package: MixedDiversityAnalysis
Title: Analysis and Visualization of Mixed-Trait Dissimilarity
Version: 0.1.0
Description: Provides methods for analysing datasets containing quantitative, qualitative, binary, and ordinal traits. Computes mixed-trait dissimilarities and performs hierarchical clustering using multiple linkage methods. Supports principal coordinates analysis (PCoA), cluster evaluation, trait contribution analysis, and graphical visualization. The package facilitates mixed-trait diversity assessment and characterization of crop germplasm. For more detail see Gower (1971) <doi:10.2307/2528823> and Jukanti et al. (2026) <doi:10.1007/s44187-025-00715-w>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: cluster
NeedsCompilation: no
Packaged: 2026-10-19 09:00:18 UTC; Dr. Prabhat
Author: Santosha Rathod [aut], Prabhat Kumar [aut, cre], A. K. Jukanti [aut], Radha Upadhyay [aut], Prashantkumar S Hanjagi [aut], Basavaraj PS [aut], R. N. Singh [aut], Anil Kumar [aut]
Maintainer: Prabhat Kumar <prabhatkkv@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-29 11:10:07 UTC

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New package maxtwin with initial version 0.1.0
Package: maxtwin
Title: A Robust Deterministic Data Splitting Method
Version: 0.1.0
Description: Provides a deterministic method for splitting data into training and testing sets that maximizes the distance between training and testing points while preserving their distributions. See Joseph and Cho (in press) for details. This work is supported by U.S. National Science Foundation grant DMS-2310637.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: FNN, twinning (>= 1.1)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-19 12:50:11 UTC; ycho397
Author: Youngseo Cho [aut, cre], V. Roshan Joseph [aut]
Maintainer: Youngseo Cho <ycho397@gatech.edu>
Repository: CRAN
Date/Publication: 2026-10-29 11:40:02 UTC

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Package irace updated to version 4.5.1 with previous version 4.5 dated 2026-09-15

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>

Diff between irace versions 4.5 dated 2026-09-15 and 4.5.1 dated 2026-10-29

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New package IFARIMA with initial version 0.1.0
Package: IFARIMA
Title: Intuitionistic Fuzzy Autoregressive Integrated Moving Average Model
Version: 0.1.0
Description: The Intuitionistic Fuzzy Autoregressive Integrated Moving Average model offers advanced time series forecasting by integrating intuitionistic fuzzy sets with ARIMA. It enhances prediction accuracy by handling uncertainties and hesitations more effectively than traditional models, making it ideal for complex, real-world data applications. The package has been developed using the algorithm of Yolcu and Yolcu (2023) <doi:10.1016/j.eswa.2022.119336>.
License: GPL-3
Encoding: UTF-8
Imports: stats, forecast
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-19 14:26:45 UTC; borap
Author: Anita Sarkar [aut], Ankit Kumar Singh [aut], Md Yeasin [aut, cre], Ranjit Kumar Paul [aut], Amrit Kumar Paul [aut], Pushkar Bora [aut]
Maintainer: Md Yeasin <yeasin.iasri@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-29 11:50:09 UTC

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New package glt with initial version 1.0
Package: glt
Title: Bayesian Factor Modelling via Generalized Lower Triangular Priors
Version: 1.0
Description: Sparse Bayesian factor models for multivariate data, built around a flexible Generalized Lower Triangular (GLT) process prior on the loading matrix by Canale and Frühwirth-Schnatter (2026) <doi:10.48550/arXiv.2610.09762>. The number of active factors, their sparsity pattern, and the loadings themselves are learned jointly via a Markov chain Monte Carlo sampler implemented in C++ with 'Rcpp' and 'RcppArmadillo'.
License: GPL-2
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, sparvaride
NeedsCompilation: yes
Packaged: 2026-10-19 11:18:16 UTC; antonio
Author: Antonio Canale [aut, cre]
Maintainer: Antonio Canale <antonio.canale@unipd.it>
Repository: CRAN
Date/Publication: 2026-10-29 11:10:01 UTC

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Package creditratingsystem updated to version 0.1.1 with previous version 0.1.0 dated 2026-10-28

Title: Offline Credit Risk Modelling, Calibration and Validation
Description: Native credit risk calculations, statistical estimation, calibration, validation and cash flow simulation using local structured data. Methods cover consumer and business lending with explicit modelling assumptions, diagnostics and reproducible reference data.
Author: RiskDataScience GmbH [aut, cph], Dimitrios Geromichalos [cre]
Maintainer: Dimitrios Geromichalos <riskdatascience@web.de>

Diff between creditratingsystem versions 0.1.0 dated 2026-10-28 and 0.1.1 dated 2026-10-29

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Package covsim updated to version 1.2.0 with previous version 1.1.0 dated 2024-05-31

Title: VITA, IG, PLSIM and VM Simulation for Given Covariance and Marginals
Description: Random sampling from distributions with user-specified population covariance matrix. Marginal information may be fully specified, for which the package implements the VITA (VIne-To-Anything) algorithm Grønneberg and Foldnes (2017) <doi:10.1007/s11336-017-9569-6>. See also Grønneberg, Foldnes and Marcoulides (2022) <doi:10.18637/jss.v102.i03>. Alternatively, marginal skewness and kurtosis may be specified, for which the package implements the IG (independent generator), PLSIM (piecewise linear) and VM (Vale-Maurelli) algorithms, see Foldnes and Olsson (2016) <doi:10.1080/00273171.2015.1133274>, Foldnes and Grønneberg (2021) <doi:10.1080/10705511.2021.1949323> and Vale and Maurelli (1983) <doi:10.1007/BF02293687>, respectively.
Author: Njaal Foldnes [aut, cre], Steffen Groenneberg [aut]
Maintainer: Njaal Foldnes <njal.foldnes@gmail.com>

Diff between covsim versions 1.1.0 dated 2024-05-31 and 1.2.0 dated 2026-10-29

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New package bmetapred with initial version 0.1.0
Package: bmetapred
Title: Bayesian Meta-Prediction in the Presence of Prediction Error
Version: 0.1.0
Description: Fits pseudo-Bayesian Model Averaging (pBMA) and Bayesian Stacking ensembles of linear meta-models while explicitly accounting for the prediction errors of the individual models, building on the Bayesian Stacking of predictive distributions framework of Yao et al. (2018) <doi:10.1214/17-BA1091>. When native uncertainty estimates are unavailable, it provides tools to estimate heteroscedastic errors via Local Polynomial Regression (LOESS). The meta-model space is explored using exhaustive search, a Markov Chain Monte Carlo Model Composition (MC3) algorithm following Madigan and Raftery (1994) <doi:10.1080/01621459.1994.10476894> when pBMA is selected, or a tabu-guided heuristic search with parallel tempering when bayesian stacking is selected, all powered by 'brms' (Bürkner, 2017 <doi:10.18637/jss.v080.i01>).
License: GPL (>= 3)
Encoding: UTF-8
Imports: brms, future, future.apply, loo, stats, utils
NeedsCompilation: no
Packaged: 2026-10-19 12:51:46 UTC; General
Author: Jorge Piqueras Marques [aut, cre] , Anabel Forte Deltell [aut] , Joaquin Martinez Minaya [ctb]
Maintainer: Jorge Piqueras Marques <jorge.piqueras.m@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-29 11:40:07 UTC

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New package aidatabroker with initial version 0.1.0
Package: aidatabroker
Title: Read Open Data on the AI Training Data Market
Version: 0.1.0
Description: Downloads the open datasets published by 'AIData.Broker' on the market for AI training data: public prices, licensing deals, buyers, vendors, lawsuits and related tables, each row with its source, from <https://aidata.broker/datasets>. The data are licensed CC BY 4.0.
License: MIT + file LICENSE
URL: https://aidata.broker/datasets
Encoding: UTF-8
Imports: utils
NeedsCompilation: no
Packaged: 2026-10-18 13:44:47 UTC; yuma2
Author: Yuma Heymans [aut, cre]
Maintainer: Yuma Heymans <hello@aidata.broker>
Repository: CRAN
Date/Publication: 2026-10-29 11:20:10 UTC

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New package SWORD with initial version 0.1.0
Package: SWORD
Title: Support Vector Machine Weighted Oblique Random Decision Forests
Version: 0.1.0
Description: Implements SWORD (Support vector machine Weighted Oblique Random Decision forests), a random forest method for regression based on TORS (Tree Oblique for Regression with weighted SVM) oblique regression trees. At each internal node a Weighted-SVM classifier with a linear kernel defines the oblique splitting hyperplane as a sparse linear combination of predictors. The C++ coordinate-descent solver provides fast training. Variable importance is computed via OIW-VI (Oblique Impurity-Weighted Variable Importance). Provides tree fitting (TORS), forest fitting (SWORD), prediction, and variable importance (VI_SWORD). Parallel tree fitting is supported via the 'future'/'furrr' framework. The SWORD method is described in Carta and Frigau (accepted, in press) 'Oblique Random Forests for Regression via Weighted Support Vector Machine', Advances in Data Analysis and Classification. The TORS algorithm is described in Carta and Frigau (2025) <doi:10.1007/s00180-025-01647-w>. The weighted SVM i [...truncated...]
License: GPL-3
URL: https://github.com/acarta88/sword-package
BugReports: https://github.com/acarta88/sword-package/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp
Suggests: infotheo, furrr, progressr, future, visNetwork, microbenchmark, knitr, rmarkdown, ggplot2, MASS, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-19 09:02:03 UTC; acart
Author: Andrea Carta [aut, cre] , Luca Frigau [aut]
Maintainer: Andrea Carta <andrea.carta88@unica.it>
Repository: CRAN
Date/Publication: 2026-10-29 10:40:02 UTC

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Package rms updated to version 8.2-0 with previous version 8.1-1 dated 2026-02-18

Title: Regression Modeling Strategies
Description: Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families and types of censoring with optional random effects, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.
Author: Frank E Harrell Jr [aut, cre]
Maintainer: Frank E Harrell Jr <fh@fharrell.com>

Diff between rms versions 8.1-1 dated 2026-02-18 and 8.2-0 dated 2026-10-29

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More information about rms at CRAN
Permanent link

Package HistDAWass updated to version 1.0.10 with previous version 1.0.9 dated 2026-10-18

Title: Histogram-Valued Data Analysis
Description: In the framework of Symbolic Data Analysis, a relatively new approach to the statistical analysis of multi-valued data, we consider histogram-valued data, i.e., data described by univariate histograms. The methods and the basic statistics for histogram-valued data are mainly based on the L2 Wasserstein metric between distributions, i.e., the Euclidean metric between quantile functions. The package contains unsupervised classification techniques, least square regression and tools for histogram-valued data and for histogram time series. An introducing paper is Irpino A. Verde R. (2015) <doi: 10.1007/s11634-014-0176-4>.
Author: Antonio Irpino [aut, cre]
Maintainer: Antonio Irpino <antonio.irpino@unicampania.it>

Diff between HistDAWass versions 1.0.9 dated 2026-10-18 and 1.0.10 dated 2026-10-29

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More information about HistDAWass at CRAN
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Package deepSTRAPP updated to version 1.1.1 with previous version 1.1.0 dated 2026-09-27

Title: Test for Differences in Diversification Rates over Time
Description: Employ time-calibrated phylogenies and trait/range data to test for differences in diversification rates over evolutionary time. Extend the STRAPP test from BAMMtools::traitDependentBAMM() to any time step along phylogenies. See inst/COPYRIGHTS for details on third-party code.
Author: Mael Dore [aut, cre, cph] , Dan Rabosky [ctb], Mike Grundler [ctb], Huateng Huang [ctb], Pascal Title [ctb], Liam Revell [ctb], Nicholas J. Matzke [ctb]
Maintainer: Mael Dore <mael.dore@gmail.com>

Diff between deepSTRAPP versions 1.1.0 dated 2026-09-27 and 1.1.1 dated 2026-10-29

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More information about deepSTRAPP at CRAN
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Package cthist (with last version 2.1.12) was removed from CRAN

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

2025-08-29 2.1.12
2024-07-17 2.1.11
2024-07-09 2.1.10
2024-06-01 2.1.9
2023-12-01 2.1.6
2023-11-04 2.1.4
2023-11-02 2.1.3
2023-07-10 2.1.0
2023-07-09 2.0.0
2023-06-27 1.4.2
2023-03-06 1.4.1
2022-12-16 1.4.0

Permanent link
Package Epoch (with last version 1.0.7) was removed from CRAN

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

2025-11-22 1.0.7
2025-09-03 1.0.3

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Package zstd updated to version 0.1.1 with previous version 0.1.0 dated 2026-10-20

Title: Zstandard Compression
Description: Compress and decompress data with the 'Zstandard' algorithm <https://meta.github.io/zstd/>, a fast lossless compression format. Works on raw vectors in memory and on files, and can create and extract 'zstd' compressed 'tar' archives. Supports compression levels, multithreaded compression, long distance matching, content checksums, and training dictionaries for better compression of small, similar inputs.
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd] , Yann Collet [aut] , Meta Platforms, Inc. and affiliates. [cph] , rxi [aut, cph]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package msm updated to version 1.9 with previous version 1.8.2 dated 2024-11-07

Title: Multi-State Markov and Hidden Markov Models in Continuous Time
Description: Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data. Designed for processes observed at arbitrary times in continuous time (panel data) but some other observation schemes are supported. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.
Author: Christopher Jackson [aut, cre]
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

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Package hubUtils updated to version 1.3.0 with previous version 1.2.1 dated 2026-07-15

Title: Core 'hubverse' Utilities
Description: Core set of low-level utilities common across the 'hubverse'. Used to interact with 'hubverse' schema, Hub configuration files and model outputs and designed to be primarily used internally by other 'hubverse' packages. See Reich et al. (2022) <doi:10.2105/AJPH.2022.306831> for an overview of Collaborative Hubs.
Author: Anna Krystalli [aut, cre] , Li Shandross [aut], Nicholas G. Reich [ctb] , Evan L. Ray [ctb], Zhian N. Kamvar [ctb] , Consortium of Infectious Disease Modeling Hubs [cph]
Maintainer: Anna Krystalli <annakrystalli@googlemail.com>

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Package heteroTests updated to version 0.16.0 with previous version 0.11.2 dated 2026-09-26

Title: Heteroscedasticity Diagnostics for Linear Models
Description: Provides a unified set of heteroscedasticity diagnostics for linear-model workflows. It implements classical auxiliary-regression tests, including those of White (1980) <doi:10.2307/1912934>, Breusch and Pagan (1979) <doi:10.2307/1911963>, Koenker (1981) <doi:10.1016/0304-4076(81)90062-2>, Goldfeld and Quandt (1965) <doi:10.1080/01621459.1965.10480811> and Harvey (1976) <doi:10.2307/1913974>; the score test of Cook and Weisberg (1983) <doi:10.1093/biomet/70.1.1>; the ARCH test of Engle (1982) <doi:10.2307/1912773>; and group-wise tests of equal variance, including those of Bartlett (1937) <doi:10.1098/rspa.1937.0109>, Brown and Forsythe (1974) <doi:10.1080/01621459.1974.10482955> and Hartley (1950) <doi:10.2307/2332383>. Resampling and scalable variants, simulation utilities, diagnostic visualisation and remediation helpers share a consistent interface designed for reproducible statistical workflows and integration with common [...truncated...]
Author: Diogo Ribeiro [aut, cre]
Maintainer: Diogo Ribeiro <dfr@esmad.ipp.pt>

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More information about heteroTests at CRAN
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Package frictionless updated to version 2.0.1 with previous version 1.3.0 dated 2026-07-31

Title: Read and Write Frictionless Data Packages
Description: Read and write Frictionless Data Packages. A 'Data Package' (<https://datapackage.org/>) is a simple container format and standard to describe and package a collection of (tabular) data. It is typically used to publish FAIR (<https://www.gofair.foundation/fair-principles>) and open datasets.
Author: Peter Desmet [aut, cre] ), Damiano Oldoni [aut] ), Pieter Huybrechts [aut] ), Sanne Govaert [aut] ), Kyle Husmann [ctb] , Research Institute for Nature and Forest [cph] , Research Foundation - Flanders [fnd] , NLnet foundation [fnd] , Beatriz Milz [ [...truncated...]
Maintainer: Peter Desmet <peter.desmet@inbo.be>

Diff between frictionless versions 1.3.0 dated 2026-07-31 and 2.0.1 dated 2026-10-29

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Package FastKRR updated to version 0.2.2 with previous version 0.2.1 dated 2026-07-21

Title: Kernel Ridge Regression using 'RcppArmadillo'
Description: Provides core computational operations in C++ via 'RcppArmadillo', enabling faster performance than pure R, improved numerical stability, and parallel execution with OpenMP where available. On systems without OpenMP support, the package automatically falls back to single-threaded execution with no user configuration required. For efficient model selection, it integrates with 'CVST' to provide sequential-testing cross-validation and additionally supports restricted maximum likelihood (REML) for continuous optimization of the regularization parameter. The package offers a unified interface for exact kernel ridge regression and three scalable approximations—Nyström, Pivoted Cholesky, and Random Fourier Features—allowing analyses with substantially larger sample sizes than are feasible with exact KRR. It also integrates with the 'tidymodels' ecosystem via the 'parsnip' model specification 'krr_reg', and the S3 method tunable.krr_reg(). To understand the theoretical background, one can refe [...truncated...]
Author: Gyeongmin Kim [aut] , Seyoung Lee [aut] , Miyoung Jang [aut] , Kwan-Young Bak [aut, cre, cph]
Maintainer: Kwan-Young Bak <kybak@sungshin.ac.kr>

Diff between FastKRR versions 0.2.1 dated 2026-07-21 and 0.2.2 dated 2026-10-29

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Package TrackTrap updated to version 1.1.0 with previous version 1.0.1 dated 2026-08-20

Title: Calculate and Visualize Degree-Days for Pest Monitoring
Description: Combines pest trap observations with daily temperatures to calculate and visualize cumulative degree-days. Temperature inputs include 'Daymet' <https://daymet.ornl.gov>, 'Open-Meteo' <https://open-meteo.com/>, reports from the California Irrigation Management Information System ('CIMIS') <https://cimis.water.ca.gov>, and user-supplied daily weather data. Degree-days are calculated using the simple-average method with either an upper threshold applied to the daily mean or an explicitly selected calculation without an upper cutoff. The first positive trap count defines the biofix for every pest, with accumulation beginning on the following day. Negative daily degree-day values are set to zero. Users can provide temperature thresholds and optional thermal reference values. Thermal reference markers and their multiples do not independently establish flight or generation identities. Complete daily calculations and weather provenance are retained with the output to support [...truncated...]
Author: Santosh Bhandari [aut, cre], Lalit Kharel [aut], Mahesh Ghimire [aut]
Maintainer: Santosh Bhandari <santoshbhandari4556@gmail.com>

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Package tceper updated to version 0.1.5 with previous version 0.1.4 dated 2026-06-01

Title: Access the 'Open Data API' of Pernambuco Court of Accounts
Description: An R interface to the 'Open Data API' of the Tribunal de Contas do Estado de Pernambuco (TCE-PE), the Court of Accounts of the State of Pernambuco, Brazil. Provides tidy, ready-to-use functions to query public data on revenues, expenditures, commitments, procurement, contracts, agreements, public works, legal processes, personnel and reference tables for all state and municipal government entities in Pernambuco. All results are returned as tibbles with column names converted to 'snake_case' by default. Uses 'httr2' for HTTP requests and 'cli' for user-friendly messages. See <https://sistemas.tcepe.tc.br/DadosAbertos/> for the API documentation.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package streamConnect readmission to version 0.1.1 with previous version 0.1.0 dated 2026-10-23

Title: Connecting Stream Mining Components Using Sockets and Web Services
Description: Adds functionality to connect stream mining components from the stream package using sockets and Web services. The package can be used to create distributed workflows and plumber-based Web services that can be deployed on most common cloud services.
Author: Michael Hahsler [aut, cre, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

This is a re-admission after prior archival of version 0.1.0 dated 2026-10-23

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Package semTests updated to version 2.0.0 with previous version 1.0.0 dated 2026-07-19

Title: Robust Test Statistics for Structural Equation Models
Description: Computes robust p-values for overall fit and nested comparisons of structural equation models fitted with 'lavaan'. Implements penalized eigenvalue block averaging and penalized regression (Foldnes, Moss, Grønneberg, 2025) <doi:10.1080/10705511.2024.2372028>, including their extension to nested models (Foldnes, Grønneberg, Moss, 2026) <doi:10.3758/s13428-026-02968-4>, alongside familiar corrections such as Satorra-Bentler. Supported settings include complete-data ML, GLS, and ULS, categorical DWLS and ULS, and full-information maximum likelihood with one or several groups. Score and criterion-difference tests of parameter restrictions are also available, including restrictions in misspecified models.
Author: Jonas Moss [aut, cre] , Njal Foldnes [ctb] , Steffen Groenneberg [ctb]
Maintainer: Jonas Moss <jonas.moss.statistics@gmail.com>

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Package scholar updated to version 1.0.1 with previous version 1.0.0 dated 2026-07-07

Title: Analyse Citation Data from Google Scholar
Description: Provides tools to retrieve, analyse, and format publication and citation data from Google Scholar profiles. It supports profile lookup, publication records, citation histories, scholar comparison, coauthor networks, journal ranking queries, CV-ready publication lists, and citation metric summaries.
Author: Guangchuang Yu [aut, cre] , James Keirstead [aut], Gregory Jefferis [aut] , Gordon Getzinger [ctb], Jorge Cimentada [ctb], Max Czapanskiy [ctb], Dominique Makowski [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package rdomains updated to version 0.6.1 with previous version 0.6.0 dated 2026-10-27

Title: Get the Category of Content Hosted by a Domain
Description: Fetch website content and classify it through the Python 'piedomains' text model. Look up domains in 'UT-Capitole', Steven Black, university, archived 'Shallalist' and 'DMOZ' lists, or use 'VirusTotal' <https://www.virustotal.com/>, 'OpenAI' and 'Anthropic' APIs. Report collection outcomes and source provenance. Includes a historical domain-name classifier trained on 'Shallalist' data.
Author: Gaurav Sood [aut, cre]
Maintainer: Gaurav Sood <gsood07@gmail.com>

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Package paramix updated to version 0.0.3 with previous version 0.0.2 dated 2025-06-10

Title: Aggregate and Disaggregate Continuous Parameters for Compartmental Models
Description: A convenient framework for aggregating and disaggregating continuously varying parameters (for example, case fatality ratio, with age) for proper parametrization of lower-resolution compartmental models (for example, with broad age categories) and subsequent upscaling of model outputs to high resolution (for example, as needed when calculating age-sensitive measures like years-life-lost). Methods and application to calculating years of life lost are described in Goodfellow et al. (2025) <doi:10.1371/journal.pcbi.1013420>.
Author: Carl Pearson [aut, cre] , Simon Proctor [aut] , Lucy Goodfellow [aut]
Maintainer: Carl Pearson <carl.ab.pearson@gmail.com>

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Package PanelSelect updated to version 2.0.0 with previous version 1.0.1 dated 2026-08-27

Title: Panel Sample Selection Models
Description: Fits sample selection models with continuous, binary, and count outcomes in panel and cross-sectional data. Model details are provided in Bailey and Peng (2025) <doi:10.2139/ssrn.5475626> and Peng and Van den Bulte (2024) <doi:10.1287/mnsc.2019.01897>.
Author: Jing Peng [aut, cre]
Maintainer: Jing Peng <jing.peng@uconn.edu>

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Package extrasteps readmission to version 0.3.1 with previous version 0.3.0 dated 2025-09-05

Title: More Miscellaneous Steps for the 'recipes' Package
Description: Contains additional miscellaneous steps for the 'recipes' package. These steps are useful, but doesn't have a good home in other 'recipes' packages or its extensions.
Author: Emil Hvitfeldt [aut, cre]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

This is a re-admission after prior archival of version 0.3.0 dated 2025-09-05

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Package Entropic.Scree updated to version 1.0.2 with previous version 1.0.1 dated 2026-09-15

Title: Information-Theoretic Measurement Mapping and Rank Estimation
Description: Maps relationships among measurements using a double-centered, joint-entropy-normalized mutual information matrix. Provides informational-axis loadings, primary and extended spectral-boundary diagnostics, and spectral-volume and informational-gravity summaries for discrete and discretized tabular data. The selected Primary Informational Rank is a candidate information-spectrum boundary, not an identified generating dimension. Optional, explicitly recorded missing-data preparation supports categorical missing states and numeric median fills with protected missingness indicators. For methodological details, see Lee-St. John (2026) <doi:10.5281/zenodo.22028086>.
Author: Terrence J. Lee-St. John [aut, cre]
Maintainer: Terrence J. Lee-St. John <terry@enli.com.au>

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Package BIOdry updated to version 0.9.5 with previous version 0.9.1 dated 2025-04-03

Title: Multilevel Modeling of Dendroclimatical Fluctuations
Description: Processes multilevel ecological data series (MEDS) arranged in temporal or spatial hierarchies defined by sampling designs. The package recursively applies one-level stage functions to long-format tree-ring and climate data, then optionally fits a terminal model to the processed series. Terminal fits currently include mixed-effects detrending through 'nlme' and Friedman supersmoother detrending through supsmu() of 'stats'. The package also supports post-detrending comparison and inference tools for multilevel dendroclimatic analyses. The method is described in Lara et al. (2018) <doi:10.1371/journal.pone.0196923>.
Author: Wilson Lara-Henao [aut, cre] , Felipe Bravo [aut]
Maintainer: Wilson Lara-Henao <wilarhen@gmail.com>

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More information about BIOdry at CRAN
Permanent link

Package actimetrics updated to version 0.10.0 with previous version 0.9.0 dated 2026-10-20

Title: Create Metrics of Actigraphy and Activity Analysis
Description: Provides functions for calibrating, counting, and summarizing actigraphy and activity data into specific metrics and sleep measures. The metrics include activity counts, step counts, activity index, Monitor Independent Movement Summary Unit (MIMS), mean amplitude deviation (MAD), and provides wrappers for sleep estimation from activity counts using Tudor-Locke (2014) <doi:10.1139/apnm-2013-0173> and Sadeh (1994) <doi:10.1093/sleep/17.3.201>. Count-intensity thresholds include Montoye et al. (2020) <doi:10.1080/02640414.2020.1794244> and Sasaki et al. (2011) <doi:10.1016/j.jsams.2011.04.003>. Raw-acceleration Euclidean Norm Minus One (ENMO) thresholds include Hildebrand et al. (2014) <doi:10.1249/MSS.0000000000000289>.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between actimetrics versions 0.9.0 dated 2026-10-20 and 0.10.0 dated 2026-10-29

 DESCRIPTION                            |   30 +++++++-----
 MD5                                    |   69 +++++++++++++++++++++--------
 NAMESPACE                              |   27 +++++++++++
 NEWS.md                                |   77 +++++++++++++++++++++++++++++++++
 R/ab_calculate_counts.R                |   23 +++++++--
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 R/calibrate.R                          |    6 ++
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 51 files changed, 364 insertions(+), 101 deletions(-)

More information about actimetrics at CRAN
Permanent link

Package vietnameseConverter updated to version 0.4.1 with previous version 0.4.0 dated 2021-10-20

Title: Convert Vietnamese Encodings
Description: Conversion of characters from unsupported Vietnamese character encodings to Unicode characters. These Vietnamese encodings (TCVN3, VISCII, VPS) are not natively supported in R and lead to printing of wrong characters and garbled text (mojibake). This package fixes that problem and provides readable output with the correct Unicode characters (with or without diacritics).
Author: Juergen Niedballa [aut, cre] , An The Truong Nguyen [ctb]
Maintainer: Juergen Niedballa <camtrapr@gmail.com>

Diff between vietnameseConverter versions 0.4.0 dated 2021-10-20 and 0.4.1 dated 2026-10-29

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 MD5                                    |   28 -
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 R/loadEncodingTableVN.R                |  840 ++++++++++++++++-----------------
 README.md                              |   21 
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 vignettes/vietnameseConverter.pdf.asis |   10 
 15 files changed, 807 insertions(+), 782 deletions(-)

More information about vietnameseConverter at CRAN
Permanent link

Package googledrive updated to version 2.2.0 with previous version 2.1.2 dated 2025-09-10

Title: An Interface to Google Drive
Description: Manage Google Drive files from R.
Author: Lucy D'Agostino McGowan [aut], Jennifer Bryan [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Jennifer Bryan <jenny@posit.co>

Diff between googledrive versions 2.1.2 dated 2025-09-10 and 2.2.0 dated 2026-10-29

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 googledrive-2.2.0/googledrive/R/dribble.R                               |  171 ++++---
 googledrive-2.2.0/googledrive/R/drive_auth.R                            |  136 +++++-
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 googledrive-2.2.0/googledrive/R/drive_create.R                          |    8 
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 googledrive-2.2.0/googledrive/R/drive_rm.R                              |    6 
 googledrive-2.2.0/googledrive/R/drive_share.R                           |   13 
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 googledrive-2.2.0/googledrive/R/shared_drives.R                         |   50 --
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 googledrive-2.2.0/googledrive/tests/testthat/_snaps/drive_find.md       |   79 +++
 googledrive-2.2.0/googledrive/tests/testthat/_snaps/drive_get.md        |   54 ++
 googledrive-2.2.0/googledrive/tests/testthat/_snaps/drive_ls.md         |   26 +
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 googledrive-2.2.0/googledrive/tests/testthat/_snaps/shared_drives.md    |   69 ++-
 googledrive-2.2.0/googledrive/tests/testthat/_snaps/utils-paths.md      |   29 -
 googledrive-2.2.0/googledrive/tests/testthat/test-dribble.R             |   53 +-
 googledrive-2.2.0/googledrive/tests/testthat/test-drive_auth.R          |   56 ++
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 googledrive-2.2.0/googledrive/tests/testthat/test-drive_fields.R        |    4 
 googledrive-2.2.0/googledrive/tests/testthat/test-drive_find.R          |   27 +
 googledrive-2.2.0/googledrive/tests/testthat/test-drive_get.R           |   12 
 googledrive-2.2.0/googledrive/tests/testthat/test-drive_id-class.R      |   55 ++
 googledrive-2.2.0/googledrive/tests/testthat/test-drive_ls.R            |    9 
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 googledrive-2.2.0/googledrive/tests/testthat/test-request_generate.R    |   11 
 googledrive-2.2.0/googledrive/tests/testthat/test-shared_drives.R       |   15 
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 121 files changed, 1515 insertions(+), 926 deletions(-)

More information about googledrive at CRAN
Permanent link

Package googlesheets4 updated to version 1.1.3 with previous version 1.1.2 dated 2025-09-03

Title: Access Google Sheets using the Sheets API V4
Description: Interact with Google Sheets through the Sheets API v4 <https://developers.google.com/sheets/api>. "API" is an acronym for "application programming interface"; the Sheets API allows users to interact with Google Sheets programmatically, instead of via a web browser. The "v4" refers to the fact that the Sheets API is currently at version 4. This package can read and write both the metadata and the cell data in a Sheet.
Author: Jennifer Bryan [cre, aut] , Posit Software, PBC [cph, fnd]
Maintainer: Jennifer Bryan <jenny@posit.co>

Diff between googlesheets4 versions 1.1.2 dated 2025-09-03 and 1.1.3 dated 2026-10-29

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Package qPCRtools updated to version 1.0.2 with previous version 1.0.1 dated 2023-11-02

Title: Tools for qPCR
Description: Provides tools for quantitative PCR (qPCR) data analysis, including standard curve calculation with amplification efficiency, relative expression calculation by the 2-'dCt', 2-'ddCt', standard curve and 'RqPCR' methods, and RNA volume calculation for reverse transcription.
Author: Xiang LI [cre, aut]
Maintainer: Xiang LI <lixiang117423@gmail.com>

Diff between qPCRtools versions 1.0.1 dated 2023-11-02 and 1.0.2 dated 2026-10-29

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Package spDBL updated to version 1.1.1 with previous version 1.0.2 dated 2026-06-09

Title: Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models
Description: Provides tools for Bayesian learning of spatiotemporal dynamical mechanistic models. Includes methods for parameter estimation, simulation, and inference using hierarchical and state-space modeling approaches, following Banerjee, Chen, Frankenburg and Zhou (2025) <https://jmlr.org/papers/v26/22-0896.html>.
Author: Xiang Chen [aut, cre], Sudipto Banerjee [aut]
Maintainer: Xiang Chen <xiangchen@ucla.edu>

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Package ggblanket updated to version 30.0.0 with previous version 21.0.0 dated 2026-07-06

Title: Publication-Quality 'ggplot2' Visualisation
Description: Wrapper 'ggplot2' functions for publication-quality visualisation. Aligned with 'ggplot2' and 'tidyverse'. Covers much of what 'ggplot2' does.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package fdasrvf updated to version 2.5.1 with previous version 2.5.0 dated 2026-09-16

Title: Elastic Functional Data Analysis
Description: Performs alignment, PCA, and modeling of multidimensional and unidimensional functions using the square-root velocity framework (Srivastava et al., 2011 <doi:10.48550/arXiv.1103.3817> and Tucker et al., 2014 <DOI:10.1016/j.csda.2012.12.001>). This framework allows for elastic analysis of functional data through phase and amplitude separation.
Author: J. Derek Tucker [aut, cre] , Aymeric Stamm [ctb]
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>

Diff between fdasrvf versions 2.5.0 dated 2026-09-16 and 2.5.1 dated 2026-10-29

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Wed, 28 Oct 2026

Package IOBR updated to version 2.2.4 with previous version 2.2.3 dated 2026-05-30

Title: Immune Oncology Biological Research
Description: Provides six modules for tumor microenvironment (TME) analysis based on multi-omics data. These modules cover data preprocessing, TME estimation, TME infiltrating patterns, cellular interactions, genome and TME interaction, and visualization for TME relevant features, as well as modelling based on key features. It integrates multiple microenvironmental analysis algorithms and signature estimation methods, simplifying the analysis and downstream visualization of the TME. In addition to providing a quick and easy way to construct gene signatures from single-cell RNA-seq data, it also provides a way to construct a reference matrix for TME deconvolution from single-cell RNA-seq data. The analysis pipeline and feature visualization are user-friendly and provide a comprehensive description of the complex TME, offering insights into tumour-immune interactions (Zeng D, et al. (2024) <doi:10.1016/j.crmeth.2024.100910>. Fang Y, et al. (2025) <doi:10.1002/mdr2.70001>).
Author: Dongqiang Zeng [aut], Yiran Fang [aut], Shixiang Wang [aut, cre] , Qingcong Luo [aut], Hongqian Qian [aut]
Maintainer: Shixiang Wang <w_shixiang@163.com>

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Package BayesSIM updated to version 2.0.1 with previous version 2.0.0 dated 2026-10-14

Title: Integrated Interface of Bayesian Single Index Models using 'nimble'
Description: Provides tools for fitting Bayesian single index models with flexible choices of priors for both the index and the link function. The package implements model estimation and posterior inference using efficient MCMC algorithms built on the 'nimble' framework, allowing users to specify, extend, and simulate models in a unified and reproducible manner. The following methods are implemented in the package: Antoniadis et al. (2004) <https://www.jstor.org/stable/24307224>, Wang (2009) <doi:10.1016/j.csda.2008.12.010>, Choi et al. (2011) <doi:10.1080/10485251003768019>, Dhara et al. (2019) <doi:10.1214/19-BA1170>, McGee et al. (2023) <doi:10.1111/biom.13569>.
Author: Seowoo Jung [aut, cre], Eun-kyung Lee [aut]
Maintainer: Seowoo Jung <jsw1347@ewha.ac.kr>

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Package swCRTdesign updated to version 4.2 with previous version 4.1 dated 2025-09-04

Title: Stepped Wedge Cluster Randomized Trial (SW CRT) Design
Description: A set of tools for examining the design and analysis aspects of stepped wedge cluster randomized trials (SW CRT) based on a repeated cross-sectional or cohort sampling scheme (Hussey MA and Hughes JP (2007) Contemporary Clinical Trials 28:182-191).
Author: Jim Hughes [aut, cre], Navneet R. Hakhu [aut], Emily Voldal [aut], Fan Xia [aut]
Maintainer: Jim Hughes <jphughes@uw.edu>

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Package obrasgovr updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-24

Title: Access the 'ObrasGov' Open Data API
Description: Provides a modern interface to the Brazilian federal government's 'ObrasGov' open data application programming interface (<https://api-publica.obrasgov.gestao.gov.br>). Retrieves data about public infrastructure projects, physical execution, contracts, commitments, geometries, feasibility studies, and project status histories. Results are returned as tidy tibbles with typed date columns, preserved nested relationships, pagination metadata, and optional multi-page collection.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package LLMRpanel updated to version 0.6.3 with previous version 0.6.1 dated 2026-09-12

Title: Benchmarked Silicon Samples for Survey and Experiment Design
Description: Administers survey and experimental instruments to panels of language-model personas, with option-order randomization and benchmark comparison against human data. Conjoint effects are estimated from recorded respondent-level profile assignments. Samples of language-model personas follow Argyle et al. (2023) <doi:10.1017/pan.2023.2>; the case for benchmarking them against human data is set out in Bisbee et al. (2024) <doi:10.1017/pan.2024.5>; the conjoint estimand is the average marginal component effect of Hainmueller et al. (2014) <doi:10.1093/pan/mpt024>.
Author: Ali Sanaei [aut, cre, cph]
Maintainer: Ali Sanaei <sanaei@uchicago.edu>

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Package LLMR.shiny updated to version 0.1.3 with previous version 0.1.2 dated 2026-08-04

Title: Shared 'Shiny' Components for 'LLMR' Family Applications
Description: Reusable 'Shiny' user interface and server components from which the graphical applications in the 'LLMR' package family are assembled.
Author: Ali Sanaei [aut, cre]
Maintainer: Ali Sanaei <sanaei@uchicago.edu>

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Package hIRT updated to version 0.5.0 with previous version 0.4.0 dated 2026-09-28

Title: Hierarchical Item Response Theory Models
Description: Implementation of a class of hierarchical item response theory (IRT) models where both the mean and the variance of latent preferences (ability parameters) may depend on observed covariates. The current implementation includes both the two-parameter latent trait model for binary data and the graded response model for ordinal data. Both are fitted via the Expectation-Maximization (EM) algorithm. Asymptotic standard errors are derived from the observed information matrix. See Zhou (2019) <doi:10.1017/pan.2018.63> for details.
Author: Xiang Zhou [aut, cre]
Maintainer: Xiang Zhou <xiang_zhou@fas.harvard.edu>

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Package pixr updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-31

Title: Access Brazilian Central Bank 'PIX' Open Data 'API'
Description: Provides a 'tidyverse'-style interface to the Brazilian Central Bank (<https://www.bcb.gov.br>) 'PIX' Open Data 'API' <https://olinda.bcb.gov.br/olinda/servico/Pix_DadosAbertos/versao/v1/aplicacao#!/recursos>. Retrieve statistics on 'PIX' keys, transactions by municipality, and monthly transaction summaries. All functions return 'tibbles' and support 'OData' query parameters for filtering, selecting, and ordering data.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package nakagami updated to version 1.2.0 with previous version 1.1.0 dated 2021-09-14

Title: Functions for the Nakagami Distribution
Description: Density, distribution function, quantile function and random generation for the Nakagami distribution of Nakagami (1960) <doi:10.1016/B978-0-08-009306-2.50005-4>.
Author: Jonas Moss [aut, cre]
Maintainer: Jonas Moss <jonas.gjertsen@gmail.com>

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Package stargazer2 updated to version 0.1.2 with previous version 0.1.1 dated 2026-10-20

Title: Beautiful Regression Tables for Modern Econometrics Packages
Description: Produces publication-quality LaTeX, ASCII, and HTML regression tables. Designed as a drop-in replacement for the 'stargazer' package for 'lm' and 'glm' models, with added native support for 'fixest', 'plm', and 'alpaca' objects including automatic fixed-effect and random-effect indicator rows and SE-type detection. Standard errors can be supplied as variance-covariance matrices, numeric vectors, or auto-extracted from supported model objects. Follows the interface of Hlavac (2022) <https://CRAN.R-project.org/package=stargazer>.
Author: Tom Zylkin [aut, cre]
Maintainer: Tom Zylkin <tzylkin@richmond.edu>

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Package sportyR updated to version 2.4.5 with previous version 2.2.3 dated 2025-07-28

Title: Plot Scaled 'ggplot' Representations of Sports Playing Surfaces
Description: Create scaled 'ggplot' representations of playing surfaces. Playing surfaces are drawn pursuant to rule-book specifications. This package should be used as a baseline plot for displaying any type of tracking data.
Author: Ross Drucker [aut, cre]
Maintainer: Ross Drucker <ross.a.drucker@gmail.com>

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Package shinyreprex readmission to version 0.4.0 with previous version 0.3.0 dated 2026-09-17

Title: Reproducible Code for 'Shiny' Objects
Description: Provides functionality to extract reactive expressions from a 'shiny' application and convert them into stand-alone R scripts. This enables users to reproduce tables and visualisations outside the interactive UI, facilitating integration into static reports or automated workflows without requiring access to the original application source code.
Author: Ashley Baldry [aut, cre]
Maintainer: Ashley Baldry <ashley.baldry@acuityanalytics.com>

This is a re-admission after prior archival of version 0.3.0 dated 2026-09-17

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Package PAmeasures readmission to version 2.0.0 with previous version 0.1.0 dated 2018-01-22

Title: Performance Assessment for Continuous and Survival Outcomes
Description: Evaluates prediction accuracy for continuous outcomes and the predictive performance of survival models in a unified framework. Implements the R-squared, L-squared, pseudo R-squared and related explained variation measures of Li and Wang (2019) <doi:10.1080/01621459.2018.1515079>, the concordance indices of Harrell et al. (1982) <doi:10.1001/jama.1982.03320430047030> and Uno et al. (2011) <doi:10.1002/sim.4154>, the time-dependent area under the receiver operating characteristic curve (AUC) of Heagerty, Lumley and Pepe (2000) <doi:10.1111/j.0006-341X.2000.00337.x>, and the Brier score of Graf et al. (1999) <doi:10.1002/(SICI)1097-0258(19990915/30)18:17/18%3C2529::AID-SIM274%3E3.0.CO;2-5>. Supports right-censored data; competing risks, following Wolbers et al. (2014) <doi:10.1093/biostatistics/kxt059>, Wu and Li (2018) <doi:10.1002/sim.7806> and Zhuang et al. (2025) <doi:10.48550/arXiv.2507.15040>; and two-phase sampling designs such as ca [...truncated...]
Author: Tong Zhu [aut], Zian Zhuang [aut, cre], Wen Su [aut], Xiaowu Dai [aut], Xiaoyan Wang [aut], Gang Li [aut]
Maintainer: Zian Zhuang <zianzhuang@ucla.edu>

This is a re-admission after prior archival of version 0.1.0 dated 2018-01-22

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Package OpenRange updated to version 0.0.3 with previous version 0.0.2 dated 2026-08-25

Title: Code to Access Open Access Species Range Maps
Description: Allows access to a proof-of-concept database containing Open Access species range models and relevant metadata. Access to the database is via both 'PostgreSQL' connection and API <https://github.com/EnquistLab/Biendata-Frontend>, allowing diverse use-cases.
Author: Brian Maitner [aut, cre] , Cory Merow [aut], Brad Boyle [aut], Xiao Feng [aut], Rethvick Sriram Yugendra Babu [aut], Brian Enquist [aut]
Maintainer: Brian Maitner <bmaitner@usf.edu>

Diff between OpenRange versions 0.0.2 dated 2026-08-25 and 0.0.3 dated 2026-10-28

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Package MSEtool updated to version 3.7.6 with previous version 3.7.5 dated 2025-09-29

Title: Management Strategy Evaluation Toolkit
Description: Development, simulation testing, and implementation of management procedures for fisheries (see Carruthers & Hordyk (2018) <doi:10.1111/2041-210X.13081>).
Author: Adrian Hordyk [aut, cre], Quang Huynh [aut], Tom Carruthers [aut], Chris Grandin [ctb]
Maintainer: Adrian Hordyk <adrian@bluematterscience.com>

Diff between MSEtool versions 3.7.5 dated 2025-09-29 and 3.7.6 dated 2026-10-28

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Permanent link

Package logtree updated to version 0.2.1 with previous version 0.2.0 dated 2026-09-01

Title: Tree-Style Console Logger for Nested Processes
Description: Render nested process execution as a live, colored tree in the console, with tree connectors, status glyphs, and elapsed time per step. Nesting depth is tracked via frame exit handlers so it never desynchronizes, even when a step errors. Builds on the 'cli' package for console rendering.
Author: Ivan Sortino [aut, cre, cph]
Maintainer: Ivan Sortino <ivan.sortino97@gmail.com>

Diff between logtree versions 0.2.0 dated 2026-09-01 and 0.2.1 dated 2026-10-28

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New package gllvmTMB with initial version 0.7.1
Package: gllvmTMB
Title: Generalised Linear Latent Variable Models
Version: 0.7.1
Description: Fits multivariate generalised linear latent variable models using either long-format data or a wide data frame. Models support several response distributions and trait covariance structures, and can estimate correlations, shared latent axes, and trait-specific variances. Binary presence-absence data can be used for joint species distribution analyses. Optional animal, phylogenetic, spatial, and kernel covariance components are available. Estimation uses 'Template Model Builder'. Spatial effects can use sparse Gaussian Markov random field constructions. This 0.7.1 release remains experimental: evidence for estimates is model- and regime-specific. Broad interval coverage is not certified; a 0.94 coverage floor is documented only for one two-sided Gaussian total-variance profile setting.
License: GPL-3
Language: en-GB
Copyright: inst/COPYRIGHTS
URL: https://itchyshin.github.io/gllvmTMB/, https://github.com/itchyshin/gllvmTMB
BugReports: https://github.com/itchyshin/gllvmTMB/issues
Depends: R (>= 4.1.0)
Imports: assertthat, cli, fmesher, generics, graphics, lifecycle, Matrix, methods, rlang, stats, tidyselect, TMB (>= 1.8.0), utils
LinkingTo: BH, RcppEigen, TMB
Suggests: ape, DHARMa, detectseparation (>= 0.4.0), dplyr, future, future.apply, ggforce, ggplot2, galamm, glmmTMB, gllvm, JuliaCall, jsonlite, knitr, lme4, MASS, MCMCglmm, mgcv, mirt, mvtnorm, nadiv, rmarkdown, sf, testthat (>= 3.0.0), tibble, tidyr, tweedie, vegan, vdiffr, withr
VignetteBuilder: knitr
ByteCompile: true
Encoding: UTF-8
SystemRequirements: GNU make, C++17
NeedsCompilation: yes
Packaged: 2026-10-16 10:49:07 UTC; z3437171
Author: Shinichi Nakagawa [aut, cre, cph]
Maintainer: Shinichi Nakagawa <itchyshin@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 20:00:08 UTC

More information about gllvmTMB at CRAN
Permanent link

Package gargle updated to version 1.7.0 with previous version 1.6.1 dated 2026-01-29

Title: Utilities for Working with Google APIs
Description: Provides utilities for working with Google APIs <https://developers.google.com/apis-explorer>. This includes functions and classes for handling common credential types and for preparing, executing, and processing HTTP requests.
Author: Jennifer Bryan [aut, cre] , Craig Citro [aut], Hadley Wickham [aut] , Google Inc [cph], Posit Software, PBC [cph, fnd]
Maintainer: Jennifer Bryan <jenny@posit.co>

Diff between gargle versions 1.6.1 dated 2026-01-29 and 1.7.0 dated 2026-10-28

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 NAMESPACE                                                                        |    8 
 NEWS.md                                                                          |   21 
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 R/aaa.R                                                                          |    2 
 R/cred_funs.R                                                                    |    2 
 R/credentials_app_default.R                                                      |   66 -
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 R/credentials_gce.R                                                              |   14 
 R/credentials_service_account.R                                                  |    2 
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 R/oauth-cache.R                                                                  |   28 
 R/oauth-init.R                                                                   |  102 ++
 R/request_develop.R                                                              |   65 -
 R/request_make.R                                                                 |    4 
 R/request_retry.R                                                                |   19 
 R/response_process.R                                                             |   40 
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 R/secret.R                                                                       |  126 --
 R/token_fetch.R                                                                  |   10 
 R/utils-ui.R                                                                     |   17 
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 build/vignette.rds                                                               |binary
 inst/WORDLIST                                                                    |   18 
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 inst/doc/troubleshooting.R                                                       |    6 
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 inst/doc/troubleshooting.html                                                    |   10 
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 man/GceToken.Rd                                                                  |  241 ++---
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 man/credentials_gce.Rd                                                           |   20 
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 man/credentials_user_oauth2.Rd                                                   |   16 
 man/gargle-package.Rd                                                            |    3 
 man/gargle_client.Rd                                                             |    2 
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 man/gargle_oauth_sitrep.Rd                                                       |   13 
 man/gargle_options.Rd                                                            |   18 
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 man/request_make.Rd                                                              |   11 
 man/request_retry.Rd                                                             |    4 
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 tests/testthat/test-secret.R                                                     |   15 
 tests/testthat/test-token-info.R                                                 |    9 
 tests/testthat/test-token_fetch.R                                                |   14 
 vignettes/auth-from-web.Rmd                                                      |    9 
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 vignettes/how-gargle-gets-tokens.Rmd                                             |   29 
 vignettes/non-interactive-auth.Rmd                                               |   78 +
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 vignettes/request-helper-functions.Rmd                                           |   36 
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More information about gargle at CRAN
Permanent link

Package exiftoolr updated to version 0.2.10 with previous version 0.2.8 dated 2025-04-20

Title: ExifTool Functionality from R
Description: Reads, writes, and edits EXIF and other file metadata using ExifTool <https://exiftool.org/>, returning read results as a data frame. ExifTool supports many different metadata formats including EXIF, GPS, IPTC, XMP, JFIF, GeoTIFF, ICC Profile, Photoshop IRB, FlashPix, AFCP and ID3, Lyrics3, as well as the maker notes of many digital cameras by Apple, Canon, Casio, DJI, FLIR, FujiFilm, GE, Google, GoPro, HP, JVC/Victor, Kodak, Leaf, Minolta/Konica-Minolta, Motorola, Nikon, Nintendo, Olympus/Epson, Panasonic/Leica, Pentax/Asahi, Phase One, Reconyx, Ricoh, Samsung, Sanyo, Sigma/Foveon and Sony.
Author: Joshua O'Brien [aut, cre]
Maintainer: Joshua O'Brien <joshmobrien@gmail.com>

Diff between exiftoolr versions 0.2.8 dated 2025-04-20 and 0.2.10 dated 2026-10-28

 DESCRIPTION             |   18 +++++++++---------
 MD5                     |   10 +++++-----
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Package ErrorTracer updated to version 1.4.1 with previous version 1.4.0 dated 2026-10-24

Title: Bayesian Error Propagation and Forecast Uncertainty Decomposition
Description: Provides a full pipeline from regularized or standard regression models (elastic net, linear models, generalized linear models, random forests) to informed Bayesian priors, structured forecast uncertainty decomposition (parameter / environmental / residual, plus a temporal component when the model carries an autocorrelation term), and forecast shelf life analysis (the quantification of when a forecast becomes uninformative). Designed for ecological and genomic forecasting with climate or environmental covariates. Methods build on Bürkner (2017) <doi:10.18637/jss.v080.i01> for Bayesian regression via 'Stan', Friedman, Hastie, and Tibshirani (2010) <doi:10.18637/jss.v033.i01> for elastic net regularization, Wright and Ziegler (2017) <doi:10.18637/jss.v077.i01> for random forests, and Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4> for leave-one-out cross-validation.
Author: Luis Javier Madrigal-Roca [aut, cre], John Kelly [aut]
Maintainer: Luis Javier Madrigal-Roca <madrigalrocalj@yahoo.com>

Diff between ErrorTracer versions 1.4.0 dated 2026-10-24 and 1.4.1 dated 2026-10-28

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Package rolescry updated to version 0.3.1 with previous version 0.3.0 dated 2026-10-21

Title: Name-Blind Variable-Role Detection by Data Signature
Description: Deterministic, name-blind detection of variable roles (group, outcome, survival or duration time and event, coupled binary-continuous pairs, calendar time index, paired and agreement measurements, repeated measures and panels, scale and rating items, subject or entity identifier, covariate) in tabular data from any domain -- clinical, financial, social, experimental. Roles are assigned from each column's information-theoretic signature -- Shannon entropy, normalized mutual information, and distributional shape -- rather than from column names, so renaming columns to 'col_1', 'col_2', ... does not change the result ("Data inspice, non nomen"). An optional, capped name-based hint and automatic header-row detection are also provided. No large language models and no external data transmission. Extracted from the 'MDStatR' biostatistics engine; see Boynukara (2026) <doi:10.5281/zenodo.20707791>.
Author: Can Boynukara [aut, cre, cph]
Maintainer: Can Boynukara <canboynukara1@gmail.com>

Diff between rolescry versions 0.3.0 dated 2026-10-21 and 0.3.1 dated 2026-10-28

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Package poorman updated to version 0.3.0 with previous version 0.2.8 dated 2026-07-30

Title: A Poor Man's Dependency Free Recreation of 'dplyr'
Description: A replication of key functionality from 'dplyr' and the wider 'tidyverse' using only 'base'.
Author: Nathan Eastwood [aut, cre], Etienne Bacher [ctb]
Maintainer: Nathan Eastwood <nathan.eastwood@icloud.com>

Diff between poorman versions 0.2.8 dated 2026-07-30 and 0.3.0 dated 2026-10-28

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More information about poorman at CRAN
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Package banffIT (with last version 2.0.0) was removed from CRAN

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

2025-07-05 2.0.0
2024-05-08 1.0.0

Permanent link
Package MAIHDA updated to version 0.3.0 with previous version 0.2.1 dated 2026-07-09

Title: Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy
Description: Tools for Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) for intersectional inequality research. Methods are described in Merlo (2018) <doi:10.1016/j.socscimed.2017.12.026> and Evans et al. (2018) <doi:10.1016/j.socscimed.2017.11.011>. The package creates intersectional strata, fits multilevel MAIHDA models, estimates variance partition coefficients, proportional change in variance, stratum effects, and discriminatory-accuracy summaries, and provides diagnostic and presentation plots.
Author: Hamid Bulut [aut, cre]
Maintainer: Hamid Bulut <me@hamidbulut.com>

Diff between MAIHDA versions 0.2.1 dated 2026-07-09 and 0.3.0 dated 2026-10-28

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More information about MAIHDA at CRAN
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Package VsusP updated to version 1.1.0 with previous version 1.0.0 dated 2024-06-25

Title: Variable Selection Using Shrinkage Priors
Description: Select variables from shrinkage-prior posterior coefficient draws using sequential two-means clustering from Li and Pati (2017) <doi:10.1016/j.csda.2016.10.008>. Estimate a signal count at each tuning threshold and rank coefficients by posterior median absolute magnitude. Accept supplied coefficient draws or fit Gaussian shrinkage regression through 'bayesreg' or native ridge, horseshoe and spike-and-slab samplers. Retain chain identities for diagnostics, prediction and posterior plots. Also provide the signal adaptive variable selector of Ray and Bhattacharya (2018) <doi:10.48550/arXiv.1810.09004>, decoupled shrinkage and selection with the adaptive-L1 approximation of Hahn and Carvalho (2015) <doi:10.1080/01621459.2014.993077>, optional exact two-cluster fitting, basic two-means selection, exact-zero spike-and-slab inclusion summaries and tuning sensitivity summaries.
Author: Nilson Chapagain [aut, cre] , Debdeep Pati [aut]
Maintainer: Nilson Chapagain <nilson.chapagain@gmail.com>

Diff between VsusP versions 1.0.0 dated 2024-06-25 and 1.1.0 dated 2026-10-28

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Package TesiproV updated to version 1.0.0 with previous version 0.9.6 dated 2026-04-22

Title: Reliability Analysis Methods for Structural Engineering
Description: Calculate the failure probability of civil engineering problems with Level I up to Level III Methods. References: Spaethe (1991, ISBN:3-211-82348-4) "Die Sicherheit tragender Baukonstruktionen", Au and Beck (2001) "Estimation of small failure probabilities in high dimensions by subset simulation." <doi:10.1016/S0266-8920(01)00019-4>, Breitung (1989) "Asymptotic approximations for probability integrals." <doi:10.1016/0266-8920(89)90024-6>.
Author: Konstantin Nille-Hauf [aut], Tania Feiri [aut], Marcus Ricker [aut], Jan Phillip Schulze-Ardey [ctb], Til Lux [aut, cre]
Maintainer: Til Lux <til.lux@tu-dortmund.de>

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Package rjd3toolkit updated to version 3.9.1 with previous version 3.9.0 dated 2026-09-21

Title: Utility Functions Around 'JDemetra+ 3.0'
Description: R Interface to 'JDemetra+ 3.x' (<https://github.com/jdemetra>) time series analysis software. It provides functions allowing to model time series (create outlier regressors, user-defined calendar regressors, Unobserved Components AutoRegressive Integrated Moving Average (UCARIMA) models...), to test the presence of trading days or seasonal effects and also to set specifications in pre-adjustment and benchmarking when using 'rjd3x13' or 'rjd3tramoseats'.
Author: Jean Palate [aut], Alain Quartier-la-Tente [aut] , Tanguy Barthelemy [aut, cre, art, cph], Anna Smyk [aut], Eulalie Delaune [aut]
Maintainer: Tanguy Barthelemy <timeserieswithjdemetraandr@gmail.com>

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Package NetworkToolbox updated to version 1.5.0 with previous version 1.4.4 dated 2025-05-08

Title: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis
Description: Implements network analysis and graph theory measures used in neuroscience, cognitive science, and psychology. Methods include various filtering methods and approaches such as threshold, dependency (Kenett, Tumminello, Madi, Gur-Gershgoren, Mantegna, & Ben-Jacob, 2010 <doi:10.1371/journal.pone.0015032>), Information Filtering Networks (Barfuss, Massara, Di Matteo, & Aste, 2016 <doi:10.1103/PhysRevE.94.062306>), and Efficiency-Cost Optimization (Fallani, Latora, & Chavez, 2017 <doi:10.1371/journal.pcbi.1005305>). Several network measures are translated from the Brain Connectivity Toolbox (Rubinov & Sporns, 2010 <doi:10.1016/j.neuroimage.2009.10.003>). Brain methods include the recently developed Connectome Predictive Modeling (see references in package). Also implements several network measures including local network characteristics (e.g., centrality), community-level network characteristics (e.g., community centrality), global network characteri [...truncated...]
Author: Alexander Christensen [aut, cre] , Guido Previde Massara [ctb] , BCT Contributors [cph] ), Mika Rubinov [cph, ctb] ), Olaf Sporns [cph, ctb] ), Alex Fornito [cph, ctb] , Jeff Spielberg [cph, ctb] , Jonathan Clayden [cph, ctb] , Rick Betzel [cph, ctb] [...truncated...]
Maintainer: Alexander Christensen <alexpaulchristensen@gmail.com>

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Package MultANOVA updated to version 1.1.1 with previous version 1.1.0 dated 2026-03-13

Title: Analysis of Designed High-Dimensional Data using the Comprehensive MultANOVA Framework
Description: A comprehensive and computationally fast framework to analyze high dimensional data associated with an experimental design based on Multiple ANOVAs (MultANOVA). It includes testing the overall significance of terms in the model, post-hoc analyses of significant terms and variable selection. Details may be found in Mahieu, B., & Cariou, V. (2025). MultANOVA Followed by Post Hoc Analyses for Designed High‐Dimensional Data: A Comprehensive Framework That Outperforms ASCA, rMANOVA, and VASCA. Journal of Chemometrics, 39(7). <doi:10.1002/cem.70039>.
Author: Benjamin Mahieu [aut, cre], Veronique Cariou [aut]
Maintainer: Benjamin Mahieu <benjamin.mahieu@oniris-nantes.fr>

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Package diagFDR updated to version 0.2.1 with previous version 0.1.2 dated 2026-10-19

Title: Assessing False Discovery Rate Claims in Proteomics
Description: Provides scope, calibration and stability diagnostics to assess false discovery rate (FDR) claims in peptide and protein identification workflows based on target-decoy competition and related confidence measures. Includes the recomputed decoy ratio of the reported list, accepted decoy counts and local decoy support, the FDP-CV benchmark, threshold elasticity, posterior error probability (PEP) concordance with the decoys, equal-chance checks and p-value calibration, explicit target/decoy label-propagation rules for grouped units, picked-protein competition, external validation by entrapment (raw and size-corrected estimates, scope-discordant-set error rate), a ground-truth simulator of target-decoy competition, and an HTML report. Methods are described in Chion et al. (2026) <doi:10.64898/2026.04.16.718468>.
Author: Quentin Giai Gianetto [aut, cre] , Marie Chion [ctb] , Alexandre Godmer [ctb] , Thibaut Douche [ctb] , Mariette Matondo [ctb]
Maintainer: Quentin Giai Gianetto <quentin.giaigianetto@pasteur.fr>

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Package BFpack updated to version 1.6.2 with previous version 1.6.1 dated 2026-07-10

Title: Flexible Bayes Factor Testing of Scientific Expectations
Description: Implementation of default Bayes factors for testing statistical hypotheses under various statistical models. The package is intended for applied quantitative researchers in the social and behavioral sciences, medical research, and related fields. The Bayes factor tests can be executed for statistical models such as univariate and multivariate normal linear models, correlation analysis, generalized linear models, special cases of linear mixed models, survival models, relational event models. Parameters that can be tested are location parameters (e.g., group means, regression coefficients), variances (e.g., group variances), and measures of association (e.g,. polychoric/polyserial/biserial/tetrachoric/product moments correlations), among others. Relevant references on the methodology The statistical underpinnings are described in O'Hagan (1995) <DOI:10.1111/j.2517-6161.1995.tb02017.x>, Mulder and Xin (2022) <DOI:10.1080/00273171.2021.1904809>, Mulder and Gelissen (2019) <D [...truncated...]
Author: Joris Mulder [aut, cre], Caspar van Lissa [aut, ctb], Donald R. Williams [aut, ctb], Xin Gu [aut, ctb], Anton Olsson-Collentine [aut, ctb], Florian Boeing-Messing [aut, ctb], Jean-Paul Fox [aut, ctb], Janosch Menke [ctb], Robbie van Aert [ctb], Barry [...truncated...]
Maintainer: Joris Mulder <j.mulder3@tilburguniversity.edu>

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Package LaMa updated to version 3.0.0 with previous version 2.1.3 dated 2026-08-25

Title: Fast Numerical Maximum Likelihood Estimation for Latent Markov Models
Description: A variety of latent Markov models, including hidden Markov models, hidden semi-Markov models, state-space models and continuous-time variants can be formulated and estimated within the same framework via directly maximising the likelihood function using the so-called forward algorithm. Applied researchers often need custom models that standard software does not easily support. Writing tailored 'R' code offers flexibility but suffers from slow estimation speeds. We address these issues by providing easy-to-use functions (written in 'C++' for speed) for common tasks like the forward algorithm. These functions can be combined into custom models in a Lego-type approach, offering up to 10-20 times faster estimation via standard numerical optimisers. To aid in building fully custom likelihood functions, several vignettes are included that show how to simulate data from and estimate all the above model classes.
Author: Jan-Ole Fischer [aut, cre]
Maintainer: Jan-Ole Fischer <jan-ole.fischer@mailbox.org>

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Package kdensity updated to version 2.0.0 with previous version 1.2.0 dated 2026-05-04

Title: Kernel Density Estimation with Parametric Starts and Asymmetric Kernels
Description: Handles univariate non-parametric density estimation with parametric starts and asymmetric kernels in a simple and flexible way. Kernel density estimation with parametric starts involves fitting a parametric density to the data before making a correction with kernel density estimation, see Hjort & Glad (1995) <doi:10.1214/aos/1176324627>. Asymmetric kernels make kernel density estimation more efficient on bounded intervals such as (0, 1) and the positive half-line. Supported asymmetric kernels are the gamma kernel of Chen (2000) <doi:10.1023/A:1004165218295>, the beta kernel of Chen (1999) <doi:10.1016/S0167-9473(99)00010-9>, and the copula kernel of Jones & Henderson (2007) <doi:10.1093/biomet/asm068>. User-supplied kernels, parametric starts, and bandwidths are supported.
Author: Jonas Moss [aut, cre] , Martin Tveten [ctb]
Maintainer: Jonas Moss <jonas.gjertsen@gmail.com>

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Package BFI updated to version 3.3.0 with previous version 3.2.0 dated 2026-09-26

Title: Bayesian Federated Inference
Description: The Bayesian Federated Inference ('BFI') method combines inference results obtained from local data sets in the separate centers. In this version of the package, the 'BFI' methodology is programmed for linear, logistic and survival regression models. For GLMs, see Jonker, Pazira and Coolen (2024) <doi:10.1002/sim.10072>; for survival models, see Pazira, Massa, Weijers, Coolen and Jonker (2026) <doi:10.1080/02664763.2025.2511932>; and for heterogeneous populations, see Jonker, Pazira and Coolen (2025) <doi:10.1017/rsm.2025.6>.
Author: Hassan Pazira [aut, cre] , Emanuele Massa [aut] , Marianne A. Jonker [aut]
Maintainer: Hassan Pazira <h.pazira@arq.org>

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Permanent link

Package SWMPr updated to version 2.5.3 with previous version 2.5.2 dated 2025-02-03

Title: Retrieving, Organizing, and Analyzing Estuary Monitoring Data
Description: Tools for retrieving, organizing, and analyzing environmental data from the System Wide Monitoring Program of the National Estuarine Research Reserve System <https://cdmo.baruch.sc.edu/>. These tools address common challenges associated with continuous time series data for environmental decision making.
Author: Marcus W. Beck [aut, cre], Kimberly Cressman [ctb]
Maintainer: Marcus W. Beck <mbeck@tbep.org>

Diff between SWMPr versions 2.5.2 dated 2025-02-03 and 2.5.3 dated 2026-10-28

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Permanent link

Package metafrontier updated to version 0.4.0 with previous version 0.3.1 dated 2026-08-19

Title: Analysis of Metafrontier Models for Efficiency and Productivity
Description: Implements metafrontier production function models for estimating technical efficiencies and technology gaps for groups of firms that face different restrictions of a common underlying metatechnology (group-specific technologies in the sense of Battese, Rao, and O'Donnell, 2004). Supports both stochastic frontier analysis (SFA) and data envelopment analysis (DEA) based metafrontiers. Includes the deterministic metafrontier of Battese, Rao, and O'Donnell (2004) <doi:10.1023/B:PROD.0000012454.06094.29>, the stochastic metafrontier of Huang, Huang, and Liu (2014) <doi:10.1007/s11123-014-0402-2>, and the metafrontier Malmquist productivity index of O'Donnell, Rao, and Battese (2008) <doi:10.1007/s00181-007-0119-4>. The deterministic metafrontier can be identified by either the minimum sum of absolute deviations (LP) or the minimum sum of squared deviations (QP) criterion. Group frontiers can be production or cost frontiers, corrected for sample selection following Greene [...truncated...]
Author: Erik Enstad [aut, cre]
Maintainer: Erik Enstad <erik.enstad@nhh.no>

Diff between metafrontier versions 0.3.1 dated 2026-08-19 and 0.4.0 dated 2026-10-28

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More information about metafrontier at CRAN
Permanent link

Package insight updated to version 1.6.1 with previous version 1.6.0 dated 2026-10-13

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Vincent Arel-Bundock [aut, ctb] , Etienne Bacher [aut, ctb] , Ale [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

Diff between insight versions 1.6.0 dated 2026-10-13 and 1.6.1 dated 2026-10-28

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More information about insight at CRAN
Permanent link

Package hydroloom updated to version 1.3.0 with previous version 1.2.2 dated 2026-09-13

Title: Utilities to Weave Hydrologic Fabrics
Description: A collection of utilities that support creation of network attributes for hydrologic networks. Methods and algorithms implemented are documented in Moore et al. (2019) <doi:10.3133/ofr20191096>, Cormen and Leiserson (2022) <ISBN:9780262046305> and Verdin and Verdin (1999) <doi:10.1016/S0022-1694(99)00011-6>.
Author: David Blodgett [aut, cre] , Andrew Psoras [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

Diff between hydroloom versions 1.2.2 dated 2026-09-13 and 1.3.0 dated 2026-10-28

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More information about hydroloom at CRAN
Permanent link

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

Title: Structured Data Science Project Scaffolding
Description: Project scaffolding and workflow tools for reproducible data science. Manages packages, tracks data integrity, handles database connections, generates notebooks, and publishes to S3-compatible storage. More information at <https://framework.table1.org>.
Author: Erik Westlund [aut, cre, cph]
Maintainer: Erik Westlund <erik@table1.org>

Diff between framework versions 1.0.2 dated 2026-02-17 and 1.1.0 dated 2026-10-28

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More information about framework at CRAN
Permanent link

Package dina updated to version 2.0.3 with previous version 2.0.2 dated 2025-09-27

Title: Bayesian Estimation of DINA Model
Description: Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) <doi:10.3102/1076998615595403>.
Author: Steven Andrew Culpepper [aut, cph] , James Joseph Balamuta [aut, cre]
Maintainer: James Joseph Balamuta <balamut2@illinois.edu>

Diff between dina versions 2.0.2 dated 2025-09-27 and 2.0.3 dated 2026-10-28

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More information about dina at CRAN
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Package connector.databricks updated to version 0.2.0 with previous version 0.1.0 dated 2025-09-05

Title: Expand 'connector' Package for 'Databricks' Tables and Volumes
Description: Expands the 'connector' <https://github.com/NovoNordisk-OpenSource/connector> package and provides a convenient interface for accessing and interacting with 'Databricks' <https://www.databricks.com> volumes and tables directly from R.
Author: Vladimir Obucina [aut, cre], Steffen Falgreen Larsen [aut], Aksel Thomsen [aut], Cervan Girard [aut], Oliver Lundsgaard [ctb], Skander Mulder [ctb], Novo Nordisk A/S [cph]
Maintainer: Vladimir Obucina <vlob@novonordisk.com>

Diff between connector.databricks versions 0.1.0 dated 2025-09-05 and 0.2.0 dated 2026-10-28

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More information about connector.databricks at CRAN
Permanent link

Package bfbin2arm updated to version 0.1.7 with previous version 0.1.6 dated 2026-09-15

Title: Bayes Factor Design for Two-Arm Binomial Trials
Description: Design and analysis of one- and two-stage clinical trials using Bayes factors. Implements methods for binomial and continuous endpoints, including point-null and directional hypotheses, power calculations, and sample size calibration. Supports one-arm trials with a single treatment arm and two-arm trials with treatment and control arms. Includes methods for equivalence, non-inferiority, and superiority designs.
Author: Riko Kelter [aut, cre]
Maintainer: Riko Kelter <rkelter@uni-koeln.de>

Diff between bfbin2arm versions 0.1.6 dated 2026-09-15 and 0.1.7 dated 2026-10-28

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More information about bfbin2arm at CRAN
Permanent link

Package rcosmo readmission to version 1.1.5 with previous version 1.1.3 dated 2021-12-01

Title: Cosmic Microwave Background Data Analysis
Description: Tools for handling and analysing spherical data on a HEALPix grid, with applications to cosmic microwave background maps. Supports reading FITS files, converting between spherical and Cartesian coordinates and HEALPix ordering schemes, selecting sky regions, sampling pixels, and visualising maps. Implements empirical covariance, correlation and variogram estimation, covariance model fitting, angular power spectrum estimation, and distributional and entropy-based comparisons of spherical data. The package and its methods are described by Fryer, Li and Olenko (2020) <doi:10.32614/RJ-2020-012>.
Author: Daniel Fryer [aut, cre] , Andriy Olenko [aut] , Ming Li [aut] , Yuguang Wang [aut]
Maintainer: Daniel Fryer <d.fryer@latrobe.edu.au>

This is a re-admission after prior archival of version 1.1.3 dated 2021-12-01

Diff between rcosmo versions 1.1.3 dated 2021-12-01 and 1.1.5 dated 2026-10-28

 rcosmo-1.1.3/rcosmo/LICENSE                                                     |only
 rcosmo-1.1.5/rcosmo/DESCRIPTION                                                 |   32 
 rcosmo-1.1.5/rcosmo/MD5                                                         |  318 
 rcosmo-1.1.5/rcosmo/NAMESPACE                                                   |  264 
 rcosmo-1.1.5/rcosmo/NEWS.md                                                     |  150 
 rcosmo-1.1.5/rcosmo/R/CMBDat.R                                                  |  485 
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 rcosmo-1.1.5/rcosmo/R/zzz.R                                                     |    6 
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 rcosmo-1.1.5/rcosmo/man/triangulate.Rd                                          |  114 
 rcosmo-1.1.5/rcosmo/man/variofitCMB.Rd                                          |  224 
 rcosmo-1.1.5/rcosmo/man/variogramCMB.Rd                                         |  175 
 rcosmo-1.1.5/rcosmo/man/winType-set.Rd                                          |   56 
 rcosmo-1.1.5/rcosmo/man/winType.Rd                                              |  100 
 rcosmo-1.1.5/rcosmo/man/window-set-.CMBDataFrame.Rd                             |   34 
 rcosmo-1.1.5/rcosmo/man/window-set.Rd                                           |   48 
 rcosmo-1.1.5/rcosmo/man/window.CMBDat.Rd                                        |  112 
 rcosmo-1.1.5/rcosmo/man/window.CMBDataFrame.Rd                                  |  324 
 rcosmo-1.1.5/rcosmo/man/window.HPDataFrame.Rd                                   |  154 
 rcosmo-1.1.5/rcosmo/man/window.Rd                                               |   49 
 rcosmo-1.1.5/rcosmo/man/window.data.frame.Rd                                    |  122 
 rcosmo-1.1.5/rcosmo/tests/testthat/references/readFITScmb_1204_5cols_10rows.rds |binary
 rcosmo-1.1.5/rcosmo/tests/testthat/test_CMBDat.R                                |   14 
 rcosmo-1.1.5/rcosmo/tests/testthat/test_CMBDataFrame.R                          |  388 
 rcosmo-1.1.5/rcosmo/tests/testthat/test_CMBWindow.R                             |  242 
 rcosmo-1.1.5/rcosmo/tests/testthat/test_conversions.R                           |  382 
 rcosmo-1.1.5/rcosmo/tests/testthat/test_cran_review.R                           |only
 161 files changed, 15332 insertions(+), 15369 deletions(-)

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New package lczexplore with initial version 0.1.1
Package: lczexplore
Title: Imports, Visualizes, Compares and Explores Maps of Local Climate Zones
Version: 0.1.1
Description: Easily import and visualize local climate zone maps with standard encoding. Compare two or more maps, and group some LCZ types according to user defined grouping vectors. Explore their differences through circular visualization and indicators. For more Details see Gousseff et al (2023) "lczexplore: an R package to explore Local Climate Zone classifications" <doi:10.21105/joss.05445>.
License: LGPL (>= 3)
Encoding: UTF-8
Imports: circlize, collapse, data.table, dplyr, forcats, ggnewscale, ggplot2, grDevices, ggspatial, ggsankeyfier, jsonlite, magrittr, methods, patchwork, randomcoloR, RColorBrewer, sf, shades, terra, tidyr, units
Suggests: knitr, markdown, rmarkdown, tinytest, png
VignetteBuilder: knitr
LazyData: true
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2026-10-19 08:44:34 UTC; gousseff
Author: Matthieu Gousseff [aut, cre, cph]
Maintainer: Matthieu Gousseff <matthieu.gousseff@cnrs.fr>
Repository: CRAN
Date/Publication: 2026-10-28 12:30:02 UTC

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New package dgtf with initial version 0.1.0
Package: dgtf
Title: Variational and Monte Carlo Inference for Bayesian State-Space Models of Count Data
Version: 0.1.0
Description: Bayesian inference for a general class of state-space models for count data, providing a unified interface to variational Bayes and Markov chain Monte Carlo. Models are assembled from modular components for the observation distribution, link function, gain function, lag distribution, system equation, and system error, and support Poisson and negative binomial observations together with seasonality terms. The model class and the hybrid variational approximation are described in Tang and Prado (2026) <doi:10.1016/j.csda.2026.108368>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
SystemRequirements: C++17
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.10), stats, utils, graphics, grDevices, ggplot2 (>= 3.3.0)
LinkingTo: Rcpp, RcppArmadillo, BH, RcppProgress, pg
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, EpiEstim
URL: https://github.com/minimeini/dgtf
BugReports: https://github.com/minimeini/dgtf/issues
VignetteBuilder: knitr
Packaged: 2026-10-19 08:37:18 UTC; meinitang
Author: Meini Tang [aut, cre] , Raquel Prado [aut]
Maintainer: Meini Tang <meini.tang@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 12:20:12 UTC

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New package cafast with initial version 0.1.0
Package: cafast
Title: Fast Companions to the 'CAs' Package for Covering Arrays
Version: 0.1.0
Description: Compiled implementations and generalizations of selected functions of the 'CAs' package by Ulrike Groemping for covering arrays. The package provides a C version of the search for the largest set of rows that can be made constant by permuting symbols, the power construction of Colbourn and Torres-Jimenez (2010) <doi:10.1090/conm/523/10309> for any strength, number of columns and number of levels, a counting kernel that tabulates value tuples for every set of t columns, and fast versions of the flexible-value tools and of the randomized post-optimization of Nayeri, Colbourn and Konjevod (2013) <doi:10.1016/j.ejc.2012.07.017>. Each function was tested against its 'CAs' counterpart, and the remaining differences are documented.
License: GPL (>= 3)
URL: https://github.com/chrispbsmolen/ca-tools
BugReports: https://github.com/chrispbsmolen/ca-tools/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0)
Imports: CAs
Suggests: caverify, lhs
NeedsCompilation: yes
Packaged: 2026-10-18 02:52:21 UTC; axviam
Author: Christopher Smolen [aut, cre]
Maintainer: Christopher Smolen <chrispbsmolen@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 12:30:10 UTC

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Package survexp.fr updated to version 1.4 with previous version 1.3 dated 2026-10-27

Title: Relative Survival, AER and SMR Based on French Death Rates
Description: It computes Relative survival, AER and SMR based on French death rates.
Author: Hugo Varet [aut, cre], Jean-Philippe Jais [aut]
Maintainer: Hugo Varet <varethugo@gmail.com>

Diff between survexp.fr versions 1.3 dated 2026-10-27 and 1.4 dated 2026-10-28

 DESCRIPTION |    8 ++++----
 MD5         |    4 ++--
 NEWS        |    6 ++++++
 3 files changed, 12 insertions(+), 6 deletions(-)

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New package saydo with initial version 0.1.0
Package: saydo
Title: Link What People Say to What They Do with LLM-Coded Themes
Version: 0.1.0
Description: Measures the say-do gap in mixed-methods data: whether themes in what people say go with differences in what they do. Codes free text against a codebook with large language models through 'ellmer', or any coder function, and validates the codes against a human-coded sample with Cohen's kappa, precision and recall. Links the codes to participants' behavioural or outcome data, aggregating segment-level transcripts to participants where needed, and tests each theme against each metric with Welch's t-test and multiple-comparison adjustment. Developed by Neudata Consulting Ltd.
License: MIT + file LICENSE
URL: https://neu-data.github.io/saydo/, https://github.com/neu-data/saydo
BugReports: https://github.com/neu-data/saydo/issues
Depends: R (>= 4.1)
Imports: cli, ellmer (>= 0.3.0), ggplot2 (>= 3.5.0), rlang, stats, tibble, withr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-18 12:42:01 UTC; hp
Author: Bernard Isekah Osangir [aut, cre], Neudata Consulting Ltd [cph, fnd]
Maintainer: Bernard Isekah Osangir <b.osangir@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 12:00:02 UTC

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New package RDelta with initial version 0.1.0
Package: RDelta
Title: Parse and Query DELTA-Format Taxonomic Descriptions
Version: 0.1.0
Date: 2026-10-18 # Update to current date
Maintainer: Mauro Cavalcanti <maurobio@gmail.com>
Description: Provides an R interface to the 'tDelta' C++ library for parsing DELTA (DEscription Language for TAxonomy) format files <https://freedelta.sourceforge.net>. Supports loading character lists, item descriptions, and specifications, with efficient searching and matching of items based on character values. It also supports the generation of identification keys, diagnoses, natural-language descriptions, and clustering and ordination analyses by means of the DELTA programs 'CONFOR', 'KEY', and 'DIST'.
License: GPL (>= 3)
URL: https://github.com/maurobio/rdelta
BugReports: https://github.com/maurobio/rdelta/issues
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.0), graphics, methods, stats, utils
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
SystemRequirements: C++17
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-10-18 12:25:11 UTC; mauro
Author: Mauro Cavalcanti [aut, cre] , Edinaldo Nelson dos Santos Silva [ctb]
Repository: CRAN
Date/Publication: 2026-10-28 11:10:18 UTC

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New package RASbound with initial version 0.0.1
Package: RASbound
Title: Bounded RAS / Biproportional Matrix Balancing with Cell-Level Constraints
Version: 0.0.1
Description: Implements the RAS method for adjusting a matrix to match target row and column totals. In RAS, a matrix A is multiplied on the left by a diagonal matrix R and on the right by a diagonal matrix S, which gives the method its name. It is also known as biproportional matrix balancing, iterative proportional fitting (IPF) or raking. The package extends it with lower and upper bounds on individual cells. Provides several algorithmic variants for handling bound violations: hard cell-freezing with simultaneous, sequential, or hybrid fixation; two dependency-free clamp-and-compensate heuristics (proportional redistribution and iterative renormalization); and a naive unconstrained-recompute baseline; together with thin wrapper functions exposing equivalent bounded-calibration methods from the 'survey' package under a common interface. Intended for updating or regionalizing input-output tables, social accounting matrices (SAMs), and other applications where classic RAS/IPF is used but cell-level [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: stats, graphics, grDevices, utils
Suggests: survey, MASS, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/JMPavia/RASbound
BugReports: https://github.com/JMPavia/RASbound/issues
NeedsCompilation: no
Packaged: 2026-10-18 16:59:08 UTC; pavia
Author: Jose M. Pavia [aut, cre]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>
Repository: CRAN
Date/Publication: 2026-10-28 11:30:10 UTC

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New package psdea with initial version 1.0.0
Package: psdea
Title: Data Envelopment Analysis with User-Defined and Learned Reference Sets
Version: 1.0.0
Author: Jiachao Peng [aut, cre]
Maintainer: Jiachao Peng <jiachao.peng@wit.edu.cn>
Description: Slacks-based data envelopment analysis for panel data in which the reference set is an explicit argument. A user-supplied weight matrix, or a matrix learned from the data by penalised non-negative reconstruction, selects the units that may enter each decision-making unit's frontier. The package reports the unrestricted and the restricted score, the ratio of the two and an exact decomposition of the shortfall into the part the restricted technology can remove and the part it cannot. Moran's I and local indicators of spatial association are provided as diagnostics. All linear programs are solved by a two-phase simplex with Bland's rule implemented in R, so the package needs no compiler.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-18 12:52:49 UTC; jiach
Repository: CRAN
Date/Publication: 2026-10-28 11:10:02 UTC

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New package PortinariColors with initial version 0.3.0
Package: PortinariColors
Title: Color Palettes Inspired by the Paintings of Candido Portinari
Version: 0.3.0
Description: Color palettes inspired by paintings of Candido Portinari held by the Sao Paulo Museum of Art (MASP) and by his Guerra (War) and Paz (Peace) panels at the United Nations Headquarters. Provides qualitative, diverging and sequential palettes for discrete and continuous data, ready-made 'ggplot2' color and fill scales, and a colorblind-safety check that simulates protanopia, deuteranopia and tritanopia following Machado, Oliveira and Fernandes (2009) <doi:10.1109/TVCG.2009.113>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://rafalopespx.github.io/PortinariColors/, https://github.com/rafalopespx/PortinariColors
BugReports: https://github.com/rafalopespx/PortinariColors/issues
Imports: ggplot2 (>= 3.4.0), grDevices, graphics, stats, utils
Suggests: spelling, testthat (>= 3.1.5)
NeedsCompilation: no
Packaged: 2026-10-18 17:18:16 UTC; rl957
Author: Rafa Lopes [aut, cre]
Maintainer: Rafa Lopes <lopes1313@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:30:15 UTC

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Package nabla updated to version 0.7.2 with previous version 0.7.1 dated 2026-02-10

Title: Exact Derivatives via Automatic Differentiation
Description: Automatic differentiation for R functions written with supported scalar arithmetic and mathematical operations. Provides a composable derivative operator D that computes gradients, Hessians, Jacobians, and arbitrary-order derivative tensors at machine precision. D(D(f)) gives Hessians, D(D(D(f))) gives third-order tensors for skewness of maximum likelihood estimators, and so on to higher orders. Supports loops and executed branches composed of supported operations. Uses nested dual numbers without finite difference truncation error; floating-point rounding and conditioning still affect results.
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <queelius@gmail.com>

Diff between nabla versions 0.7.1 dated 2026-02-10 and 0.7.2 dated 2026-10-28

 DESCRIPTION                       |   15 +++++++-----
 MD5                               |   19 ++++++++--------
 NEWS.md                           |   11 +++++++++
 R/dual-arithmetic.R               |   12 ++++++----
 R/dual-math.R                     |   14 +++++++++---
 R/nabla-package.R                 |    4 ++-
 README.md                         |   44 +++++++++++++++++++++++++++-----------
 man/nabla-package.Rd              |    4 ++-
 tests/testthat/test-coverage.R    |    4 +--
 tests/testthat/test-math.R        |    2 -
 tests/testthat/test-zero-powers.R |only
 11 files changed, 90 insertions(+), 39 deletions(-)

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New package multipathaic with initial version 0.1.3
Package: multipathaic
Title: Multi-Path Stepwise Selection with AIC
Version: 0.1.3
Description: Implements a multi-path forward selection algorithm using the Akaike Information Criterion (AIC) for both linear (Gaussian) and logistic (binomial) regression models. Unlike traditional stepwise methods that follow a single path, this approach explores multiple competitive model paths simultaneously by retaining near-optimal models at each step. The package includes stability estimation via bootstrap resampling and identifies plausible models based on AIC tolerance and variable stability thresholds. The information criterion is described by Akaike (1974) <doi:10.1109/TAC.1974.1100705>, and bootstrap resampling by Efron (1979) <doi:10.1214/aos/1176344552>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, utils
Suggests: lars, knitr, rmarkdown, shiny, shinydashboard, plotly, DT, ggplot2, readxl, htmltools, kableExtra
VignetteBuilder: knitr
URL: https://github.com/mobuobi/multipathaic
BugReports: https://github.com/mobuobi/multipathaic/issues
NeedsCompilation: no
Packaged: 2026-10-18 15:04:53 UTC; michael
Author: Michael Obuobi [aut, cre]
Maintainer: Michael Obuobi <obuobimichael25@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:50:02 UTC

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New package lepidoptera with initial version 0.1.2
Package: lepidoptera
Title: Domain-Agnostic Causal Simulation Engine with Mixed Variable Types
Version: 0.1.2
Description: A domain-agnostic simulation engine for structural causal models with heterogeneous variable types. Users define systems of continuous, categorical, and ordinal features, declare a directed acyclic graph (DAG) over them, attach typed generative mechanisms to each node, and simulate synthetic populations. A pre-built mechanism library covers all nine parent-type/child-type combinations. Vine copula mechanisms estimate full joint dependence from observed data via pair-copula constructions (Bedford and Cooke, 2002) <doi:10.1214/aos/1031689014>. Individual-level counterfactual queries are supported through partial propagation, which freezes unaffected random draws and resamples only the downstream subgraph, enabling individual treatment effect (ITE) estimation alongside population-level average treatment effects (ATE). Any pre-fitted predictive model can serve as a generative mechanism through three wrapper functions. Systems serialise to JSON for cross-language portability with the [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/danilosarti/lepidoptera
BugReports: https://github.com/danilosarti/lepidoptera/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats
Suggests: testthat (>= 3.0.0), igraph, rvinecopulib (>= 0.6.0), jsonlite, yaml, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-16 16:05:38 UTC; danilosarti
Author: Danilo Sarti [aut, cre]
Maintainer: Danilo Sarti <danilosarti@rcsi.ie>
Repository: CRAN
Date/Publication: 2026-10-28 11:40:02 UTC

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New package hairline with initial version 0.1.0
Package: hairline
Title: Clean, Predictable Figures for Medical and Data Science
Version: 0.1.0
Description: A design system for 'ggplot2' figures: one frame for titles, legends, panels and captions, a fixed spacing and type scale, colour-vision checked palettes, brand files in the 'brand.yml' format, and print-ready export. Produces output matching the 'hairline' Python package.
License: MIT + file LICENSE
URL: https://github.com/schradern/hairline
BugReports: https://github.com/schradern/hairline/issues
Copyright: The bundled 'Hairline Sans' font is a modified Public Sans, Copyright 2015 The Public Sans Project Authors, under the SIL Open Font License 1.1; see inst/COPYRIGHTS.
Encoding: UTF-8
Depends: R (>= 4.3)
Imports: S7, ggplot2 (>= 4.0.0), grid, grDevices, jsonlite, ragg, rlang, systemfonts, textshaping, tools, utils, yaml
Suggests: cowplot, metafor, patchwork, png, rsvg, survival, svglite, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-10-19 05:17:30 UTC; nschrader
Author: Nikolas Schrader [aut, cre, cph]
Maintainer: Nikolas Schrader <hi@nikolasschrader.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:50:08 UTC

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Package gridpattern updated to version 1.5.1 with previous version 1.4.2 dated 2026-06-23

Title: 'grid' Pattern Grobs
Description: Provides 'grid' grobs that fill in a user-defined area with various patterns. Includes enhanced versions of the geometric and image-based patterns originally contained in the 'ggpattern' package as well as original 'pch', 'polygon_tiling', 'regular_polygon', 'rose', 'text', 'wave', and 'weave' patterns plus support for custom user-defined patterns.
Author: Trevor L. Davis [aut, cre] , Mike FC [aut] , ggplot2 authors [ctb]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

Diff between gridpattern versions 1.4.2 dated 2026-06-23 and 1.5.1 dated 2026-10-28

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 gridpattern-1.5.1/gridpattern/NAMESPACE                            |    9 
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 gridpattern-1.5.1/gridpattern/R/pattern-array-placeholder.R        |    2 
 gridpattern-1.5.1/gridpattern/R/pattern-array-plasma.R             |    4 
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 gridpattern-1.5.1/gridpattern/R/pattern-geometry-crosshatch.R      |    2 
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 gridpattern-1.5.1/gridpattern/R/zzz.R                              |    3 
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Package GGIRread updated to version 1.2.0 with previous version 1.0.11 dated 2026-09-18

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

Diff between GGIRread versions 1.0.11 dated 2026-09-18 and 1.2.0 dated 2026-10-28

 DESCRIPTION                                |   12 
 MD5                                        |   22 -
 NEWS.md                                    |   25 +
 R/RcppExports.R                            |    8 
 R/readAxivity.R                            |  473 ++++-------------------------
 man/GGIRread-package.Rd                    |    4 
 man/readAxivity.Rd                         |   85 +++--
 src/RcppExports.cpp                        |   36 ++
 src/decodeAxivityBlock.cpp                 |only
 src/init.c                                 |    5 
 src/processAxivityBlocks.cpp               |only
 tests/testthat/test_decodeAxivityBlock.R   |only
 tests/testthat/test_processAxivityBlocks.R |only
 tests/testthat/test_readAxivity.R          |  255 ++++++++++++++-
 14 files changed, 456 insertions(+), 469 deletions(-)

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New package evgmrf with initial version 0.1.0
Package: evgmrf
Title: Gaussian Markov Random Field Models for Extreme Values
Version: 0.1.0
Description: Fitting extreme value distributions with parameters that vary according to Gaussian Markov random fields (GMRFs). For details of distributions see Coles, S.G. (2001) <doi:10.1007/978-1-4471-3675-0>, GMRFs see Rue, H., & Held, L. (2005) <doi:10.1201/9780203492024>, and the fitting approach see Wood, S.N., Pya, N. & Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.10), Matrix (>= 1.6-0), methods, lattice, gridExtra, sparseinv
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, Matrix
NeedsCompilation: yes
Packaged: 2026-10-16 13:52:21 UTC; ben
Author: Ben Youngman [aut, cre] , Ayu Shabrina [aut, ctb]
Maintainer: Ben Youngman <b.youngman@exeter.ac.uk>
Repository: CRAN
Date/Publication: 2026-10-28 11:20:15 UTC

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Package dist.structure updated to version 0.5.1 with previous version 0.5.0 dated 2026-05-12

Title: Structured Random Variables for Reliability System Distributions
Description: Extends the 'algebraic.dist' distribution algebra to random variables with internal structure: coherent reliability systems decomposed into components arranged by a structure function (series, parallel, k-out-of-n, bridge, and arbitrary topologies via minimal path sets). Every 'dist_structure' object is a 'dist', so the full distribution algebra (mean, vcov, sampler, surv, cdf) works automatically via default methods that compose component-level distributions through the topology. Adds structural queries: structure function evaluation, minimal path and cut sets, system signature, critical states, dual, Birnbaum structural importance, and system reliability. Topology shortcut constructors (series_dist, parallel_dist, kofn_dist, bridge_dist) produce ready-to-use dists from component dists and a chosen structure.
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>

Diff between dist.structure versions 0.5.0 dated 2026-05-12 and 0.5.1 dated 2026-10-28

 DESCRIPTION                   |    6 +++---
 MD5                           |   17 +++++++++--------
 NEWS.md                       |    8 ++++++++
 R/exp_kofn.R                  |    6 +++---
 R/exp_parallel.R              |    2 +-
 R/exp_series.R                |    5 +++--
 R/wei_homogeneous_series.R    |    3 ++-
 R/wei_kofn.R                  |    6 ++++--
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 tests/testthat/test-support.R |only
 10 files changed, 34 insertions(+), 20 deletions(-)

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Package Directional updated to version 8.0 with previous version 7.9 dated 2026-10-05

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

Diff between Directional versions 7.9 dated 2026-10-05 and 8.0 dated 2026-10-28

 DESCRIPTION                |    8 ++++----
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 R/dirda.R                  |    2 +-
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 man/esag.mle.Rd            |   20 +++++++++++++++-----
 man/kent.mle.Rd            |   19 ++++++++++++-------
 8 files changed, 63 insertions(+), 35 deletions(-)

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New package creditratingsystem with initial version 0.1.0
Package: creditratingsystem
Title: Offline Credit Risk Modelling, Calibration and Validation
Version: 0.1.0
Description: Native credit risk calculations, statistical estimation, calibration, validation and cash flow simulation using local structured data. Methods cover consumer and business lending with explicit modelling assumptions, diagnostics and reproducible reference data.
License: AGPL-3
Encoding: UTF-8
Depends: R (>= 4.1.2)
Imports: stats, utils, jsonlite, digest, lpSolve, Matrix, survival, glmnet, MASS, e1071, brglm2, splines, xgboost, copula, mvtnorm, vars, urca, KFAS
Suggests: testthat, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-10-16 14:09:40 UTC; qwert123
Author: RiskDataScience GmbH [aut, cph], Dimitrios Geromichalos [cre]
Maintainer: Dimitrios Geromichalos <riskdatascience@web.de>
Repository: CRAN
Date/Publication: 2026-10-28 11:20:21 UTC

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New package bartisan with initial version 0.1.0
Package: bartisan
Title: Generalized Bayesian Additive Regression Trees
Version: 0.1.0
Description: Fits Bayesian additive regression trees (BART) models for likelihoods outside the conditionally conjugate Gaussian case, using the Laplace-approximation reversible-jump sampler of Linero (2025) <doi:10.1080/01621459.2024.2337156>. Supported response families include Gaussian, binomial, Poisson, negative binomial, gamma, beta, ordered beta, ordinal (cumulative link), multinomial, zero-inflated counts, a Tweedie compound Poisson for a non-negative response with a point mass at zero, accelerated failure time and proportional hazards models for right-censored survival data, location-scale regression, and a Dirichlet process mixture for the error distribution. Decision rules may be hard, as in standard BART, or soft, as in the SoftBart model of Linero and Yang (2018) <doi:10.1111/rssb.12293>, which yields smoother fits. The interface follows that of glm(), so that a model is specified with a formula, a data frame, and a family.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: arg (>= 0.2.1), cli (>= 3.6.4), rlang (>= 1.2.0), Matrix, Rcpp (>= 1.1.2), parallel, reformulas (>= 0.4.4), ggplot2 (>= 4.0.1), stats, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: bayesplot, cobalt, collapse, future, future.apply, insight, knitr, loo, MASS, marginaleffects, nlme, lme4, patrick (>= 0.3.0), performance, posterior, progressr, rmarkdown, rstanarm, rstantools, survival, testthat (>= 3.0.0), WeightIt
VignetteBuilder: knitr, rmarkdown
URL: https://github.com/ngreifer/bartisan, https://ngreifer.github.io/bartisan/
BugReports: https://github.com/ngreifer/bartisan/issues
LazyData: true
NeedsCompilation: yes
Packaged: 2026-10-18 18:33:17 UTC; NoahGreifer
Author: Noah Greifer [aut, cre, cph] , Antonio R. Linero [ctb, cph] , from which the MCMC engine is adapted)
Maintainer: Noah Greifer <noah.greifer@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:40:07 UTC

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New package awscrt with initial version 0.1.1
Package: awscrt
Title: Hardware-Accelerated 'CRC Checksums' from the AWS Common Runtime
Version: 0.1.1
Description: Computes 'CRC32', 'CRC32C' and 'CRC64NVME' 'checksums' using the 'aws-checksums' library from the 'AWS' Common Runtime, with runtime dispatch to hardware instructions ('SSE4.2', 'PCLMULQDQ', 'AVX-512', 'ARMv8' 'CRC' and 'PMULL') and a portable software fallback.
License: Apache License (>= 2)
URL: https://github.com/paws-r/aws-crt-r, https://paws-r.r-universe.dev/awscrt
BugReports: https://github.com/paws-r/aws-crt-r/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
SystemRequirements: GNU make, C compiler
NeedsCompilation: yes
Packaged: 2026-10-18 17:30:32 UTC; Dyfan.Jones
Author: Dyfan Jones [aut, cre], Amazon.com, Inc. or its affiliates [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:40:16 UTC

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New package AURMC with initial version 0.5.0
Package: AURMC
Title: Area Under the Repeated Measures Curve
Version: 0.5.0
Description: Estimates and compares areas under curves formed by repeatedly measured outcomes observed subject to censoring and a terminal event. Implements Kaplan-Meier adjustment for censoring, influence-function standard errors, Wald inference, and multiplier perturbation inference, with utilities for interpolation, simulation, tabulation, and plotting. For additional details, see: McCaw ZR, Armbruster S, Tian L, Claggett BL, Fitzmaurice G, Foà A, Pfeffer MA, Wei LJ (2026) <doi:10.1016/j.jchf.2026.103013>.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, markdown, rmarkdown, testthat (>= 3.0.0), withr
LinkingTo: RcppArmadillo, Rcpp
Imports: cowplot, dplyr, ggplot2, methods, Rcpp, tibble
VignetteBuilder: knitr
URL: https://github.com/zrmacc/AURMC
BugReports: https://github.com/zrmacc/AURMC/issues
NeedsCompilation: yes
Packaged: 2026-10-16 17:07:16 UTC; zmccaw
Author: Zachary McCaw [aut, cre]
Maintainer: Zachary McCaw <zmccaw@alumni.harvard.edu>
Repository: CRAN
Date/Publication: 2026-10-28 11:40:28 UTC

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New package ASmiR with initial version 0.1.1
Package: ASmiR
Title: Prediction of Abiotic Stress-Specific miRNAs in Plants
Version: 0.1.1
Description: Provides functions for predicting plant microRNAs (miRNAs) associated with cold, drought, heat, and salt stress using the ASmiR machine learning framework. Implements PseKNC feature generation and stress-specific support vector machine models described by Pradhan et al. (2023), "ASmiR: a machine learning framework for prediction of abiotic stress-specific miRNAs in plants", Functional & Integrative Genomics, 23(2), article 92, <doi:10.1007/s10142-023-01014-2>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Biostrings, e1071, stats
Suggests: testthat (>= 3.0.0)
SystemRequirements: Python (>= 3.7)
NeedsCompilation: no
Packaged: 2026-10-16 14:51:20 UTC; dell
Author: Upendra Kumar Pradhan [aut, cre] , Prabina Kumar Meher [aut]
Maintainer: Upendra Kumar Pradhan <upendra.iasri@icar.org.in>
Repository: CRAN
Date/Publication: 2026-10-28 11:20:32 UTC

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New package actuarialfitdist with initial version 0.2.3
Package: actuarialfitdist
Title: Actuarial Severity Fitting with Limits and Deductibles
Version: 0.2.3
Description: Fits actuarial claim severity distributions to ground-up loss data while accounting for deductible truncation, policy-limit censoring, observation weights, optional severity scaling variables, and fixed parameters. Supports single-family and spliced body-tail models, candidate-model comparison, limited expected values, loss elimination ratios, increased limits factors, deductible and limit rating factors, valuation or depreciation adjustments, simulation, diagnostics, and uncertainty estimation. The package is designed for property and casualty actuarial applications in which analysts fit ground-up severity and translate the fitted distribution into pricing factors for limits, deductibles, and valuation provisions. For background on statistical severity modeling, see Klugman, Panjer, and Willmot (2019, ISBN:9781119523789), "Loss Models: From Data to Decisions", 5th edition.
License: MIT + file LICENSE
URL: https://github.com/gs-actuary/actuarialfitdist
BugReports: https://github.com/gs-actuary/actuarialfitdist/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, scales, stats, utils
Suggests: fitdistrplus, knitr, plotly, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-18 22:57:54 UTC; yagre
Author: Greg Sollenberger [aut, cre, cph]
Maintainer: Greg Sollenberger <yagreg7@yahoo.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:50:16 UTC

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New package tppcm with initial version 0.1.0
Package: tppcm
Title: Step Discriminations for the Two-Parameter Partial Credit Model on Top of 'TAM'
Version: 0.1.0
Description: In the two-parameter partial credit model (TPPCM) of Yu (1991) <https://hdl.handle.net/2142/21459>, every step of a polytomous item has its own discrimination. Estimation is left to existing software: 'TAM' (tam.mml.3pl() with a step design matrix, tam.mml.2pl(), tam.mml()) and, for the bilinear product form and non-negativity constraints, 'sirt' (xxirt()). The package adds what these packages do not provide: standard errors of step discriminations based on the full observed information, step-level Wald tests, and score tests with modification indices and expected parameter changes for moving down the model ladder saturated TPPCM -> product form -> generalized partial credit model -> partial credit model, limited-information fit statistics (the M2 statistic, root mean square error of approximation, standardized root mean squared residual, comparative fit index and Tucker-Lewis index; Maydeu-Olivares and Joe (2006) <doi:10.1007/s11336-005-1295-9>) for any step desig [...truncated...]
License: GPL (>= 2)
URL: https://github.com/jiewenTsai/tppcm
BugReports: https://github.com/jiewenTsai/tppcm/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1), TAM
Imports: CDM, graphics, MASS, sirt, stats
Suggests: knitr, mirt, numDeriv, partykit, psychotools, psychotree, rmarkdown, strucchange, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-16 13:44:45 UTC; jiewentsai
Author: Jie-Wen Tsai [aut, cre]
Maintainer: Jie-Wen Tsai <tsai.jiewen@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:00:02 UTC

More information about tppcm at CRAN
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Package shinyTree updated to version 1.0.0 with previous version 0.3.1 dated 2023-08-07

Title: 'jsTree' Bindings for 'Shiny'
Description: Bindings to 'jsTree' <https://www.jstree.com>, a 'JavaScript' library for interactive trees, to enable rich, editable trees in 'Shiny' applications. Trees can be searched, checked, rearranged, styled and remembered across visits, loaded lazily for very large hierarchies, and built from data frames, 'data.tree' objects or ontologies.
Author: Trestle Technology, LLC [aut], Jeff Allen [aut], Institut de Radioprotection et de Sûrete Nucleaire [cph], Ivan Bozhanov [ctb, cph] , Orange Hill Development [ctb, cph] theme), Accademia di Belle Arti di Urbino [cph] , Mike Schaffer [ctb], Timm Dank [...truncated...]
Maintainer: Michael Bell <bell_michael_a@lilly.com>

Diff between shinyTree versions 0.3.1 dated 2023-08-07 and 1.0.0 dated 2026-10-28

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New package RidgeLRGLH with initial version 0.1.0
Package: RidgeLRGLH
Title: Ridge-Regularized Largest Root Tests for General Linear Hypotheses
Version: 0.1.0
Description: Tests general linear hypotheses in high-dimensional multivariate regression using a ridge-regularized largest root statistic. Estimates the population spectral distribution by linear programming and computes Tracy-Widom centering and scaling constants. Supports fixed, Bayesian, and minimax regularization choices. Implements the methods of Li (2025) <doi:10.48550/arXiv.2504.15510>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: lpSolve, RMTstat, stats
NeedsCompilation: no
Packaged: 2026-10-18 02:07:20 UTC; haoranli
Author: Haoran Li [aut, cre]
Maintainer: Haoran Li <hzl0152@auburn.edu>
Repository: CRAN
Date/Publication: 2026-10-28 10:30:27 UTC

More information about RidgeLRGLH at CRAN
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Package Rduckhts updated to version 2.0.2.0.1.1 with previous version 2.0.1.0.1.0 dated 2026-10-24

Title: 'DuckDB' High Throughput Sequencing File Formats Reader Extension
Description: Bundles the 'duckhts' 'DuckDB' extension for reading High Throughput Sequencing file formats with 'DuckDB'. The 'DuckDB' C extension API <https://duckdb.org/docs/stable/clients/c/api> and its 'htslib' dependency are compiled from vendored sources during package installation. James K Bonfield and co-authors (2021) <doi:10.1093/gigascience/giab007>. VariantKey / RegionKey support follows Nicola Asuni (2018) <doi:10.1101/473744>.
Author: Sounkou Mahamane Toure [aut, cre], Ryan Ward [aut] , Nurture Bio [cph] , James K Bonfield, John Marshall,Petr Danecek ,Heng Li , Valeriu Ohan, Andrew Whitwham,Thomas Keane , Robert M Davies [ctb] , DuckHTS Contributors [cph] ), RBCFTools Authors [cph [...truncated...]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>

Diff between Rduckhts versions 2.0.1.0.1.0 dated 2026-10-24 and 2.0.2.0.1.1 dated 2026-10-28

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New package rd2dnet with initial version 0.1.0
Package: rd2dnet
Title: Boundary Discontinuity Designs on Networks
Version: 0.1.0
Description: Estimation and inference for boundary discontinuity designs on street networks. Extends the location-based framework of 'rd2d' (Cattaneo, Titiunik and Yu, <doi:10.48550/arXiv.2505.07989>) from Euclidean coordinates to network-native coordinates (signed network distance to the boundary and offset along it) and user-defined network metrics (edge costs, travel time, road-class transition penalties, precomputed matrices). Provides side-specific local polynomial estimates of boundary average treatment effect curves with robust bias-corrected inference (Calonico, Cattaneo and Titiunik, 2014, <doi:10.3982/ECTA11757>), uniform confidence bands, weighted and largest aggregate effects, fuzzy designs, covariates, derivative targets, heteroskedasticity-robust, cluster and network Conley (1999, <doi:10.1016/S0304-4076(98)00084-0>) standard errors, a port of the 'rd2d' direct plug-in bandwidth selector, and a network-normalised version of the local polynomial density test of Cattan [...truncated...]
License: GPL-3
URL: https://github.com/zwinship/rd2dnet
BugReports: https://github.com/zwinship/rd2dnet/issues
Depends: R (>= 4.1.0)
Imports: graphics, grDevices, methods, Rcpp, stats, utils
LinkingTo: Rcpp
Suggests: dodgr, igraph, knitr, Matrix, osmdata, rmarkdown, sf, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2026-10-18 02:06:43 UTC; root
Author: Zach Winship [aut, cre, cph], Matias D. Cattaneo [ctb, cph] , Rocio Titiunik [ctb, cph] , Ruiqi Rae Yu [ctb, cph] , Michael Jansson [ctb, cph] , Xinwei Ma [ctb, cph]
Maintainer: Zach Winship <zachtwinship@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 10:30:08 UTC

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New package PrismR with initial version 1.0.0
Package: PrismR
Title: Pre-Modeling Statistical Audit Framework
Version: 1.0.0
Description: Introduces a statistical validation layer between data preprocessing and predictive modeling. Evaluates the statistical readiness of tabular datasets through data quality assessment, leakage detection, transformation analysis, and feature stability.
License: MIT + file LICENSE
URL: https://arshit-dv.github.io/PrismR/, https://github.com/Arshit-dv/PrismR
BugReports: https://github.com/Arshit-dv/PrismR/issues
Encoding: UTF-8
Imports: graphics, stats, utils, e1071, ggplot2, ggrepel
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-16 12:04:43 UTC; Arshit
Author: Arshit Choudhary [aut, cre, cph], Vanshika Sharma [aut, ctb], Amrit Pal [ths]
Maintainer: Arshit Choudhary <arshitchoudhary3010@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 10:50:17 UTC

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Package likelihood.contr updated to version 0.2.0 with previous version 0.1.1 dated 2026-04-01

Title: Likelihood Contribution Models for Heterogeneous Observation Types
Description: Constructs likelihood models from heterogeneous observation types by composing named contributions. Each observation type (exact, left-censored, right-censored, interval-censored, or custom) contributes independently to the total log-likelihood, which is summed under an i.i.d. assumption. Provides contr_name() for standard R distributions and contr_fn() for user-defined contributions, composed via likelihood_contr() into objects compatible with the likelihood.model inference framework.
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>

Diff between likelihood.contr versions 0.1.1 dated 2026-04-01 and 0.2.0 dated 2026-10-28

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New package INLAcircular with initial version 1.0.0
Package: INLAcircular
Title: Bayesian Joint Circular Regression Using 'INLA'
Version: 1.0.0
Description: Provides a Bayesian regression framework for joint models with circular responses and covariates using integrated nested Laplace approximations, following Ye, Van Niekerk and Rue (2026) <doi:10.48550/arXiv.2602.08413>. The package supports link-adjusted von Mises likelihoods, shared latent predictors, structured latent effects, and optional LKJ-based multivariate covariance models. It also provides compiled circular densities and d/p/q/r penalized-complexity priors for von Mises, cardioid, and wrapped Cauchy concentration parameters as developed by Ye, Van Niekerk and Rue (2026) <doi:10.1177/1471082X261453677>.
License: GPL (>= 3)
URL: https://github.com/XiangYEstats/INLAcircular
BugReports: https://github.com/XiangYEstats/INLAcircular/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
LazyData: true
Imports: dplyr, stats, utils
Suggests: circular, graphpcor, INLA (>= 25.08.21), INLAtools, knitr, pkgload, rmarkdown
VignetteBuilder: knitr, rmarkdown
Additional_repositories: https://inla.r-inla-download.org/R/stable
NeedsCompilation: yes
Packaged: 2026-10-18 07:13:45 UTC; xiang
Author: Xiang Ye [aut, cre, cph], Janet Van Niekerk [aut], Haavard Rue [aut, cph], Gerard Jungman [ctb, cph] , Peter John Acklam [ctb]
Maintainer: Xiang Ye <xiang.ye@kaust.edu.sa>
Repository: CRAN
Date/Publication: 2026-10-28 10:40:08 UTC

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New package HMMscpg with initial version 1.0.0
Package: HMMscpg
Title: Hidden Markov Models and Shifted Compound Poisson-Gamma Renewal Process
Version: 1.0.0
Imports: Rdpack, methods, stats, utils, Bessel, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Description: Provides functions to define, simulate and fit hidden Markov models, hidden semi-Markov models, and their time-varying versions, to incompletely observed point process records. Such data arise when some events of an underlying point process are not recorded or are otherwise missing. The models treat the number of missing events between each pair of consecutively observed events of a point process record as a hidden process. The number of missing events may be fixed or modelled as a random variable whose distribution can vary over time. When the number of missing events is fixed, the observed event times can be modelled as a compound gamma renewal process. When it is random, the observed process is represented by a shifted compound Poisson-gamma renewal process, which may also depend on time, leading to a time-dependent shifted compound Poisson-gamma renewal process. These modelling frameworks are described in detail in Shahzadi, Wang, Parry and Bebbington (2023) <doi:10.1007/s10463- [...truncated...]
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, Rmpfr
NeedsCompilation: yes
Packaged: 2026-10-18 05:48:58 UTC; amina
Author: Amina Shahzadi [aut, cre], Ting Wang [aut]
Maintainer: Amina Shahzadi <aminashahzadi@gcu.edu.pk>
Repository: CRAN
Date/Publication: 2026-10-28 10:40:15 UTC

More information about HMMscpg at CRAN
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Package gtfstools updated to version 2.0.0 with previous version 1.4.0 dated 2025-01-08

Title: General Transit Feed Specification (GTFS) Editing and Analysing Tools
Description: Utility functions to read, manipulate, analyse and write transit feeds in the General Transit Feed Specification (GTFS) data format.
Author: Daniel Herszenhut [aut] , Rafael H. M. Pereira [aut, cre] , Pedro R. Andrade [aut] , Joao Bazzo [aut] , Mark Padgham [ctb], Christopher Higgins [ctb], Goncalo F. Matos [ctb], Yigit Han Eroglu [ctb], Arthur Bazolli [ctb], Marcus Saraiva [ctb] , Ipea - [...truncated...]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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More information about gtfstools at CRAN
Permanent link

Package Familia updated to version 2.2.0 with previous version 2.0.0 dated 2026-08-24

Title: 'shiny' Application for Population Structure and Ancestry Assessments
Description: Provides a 'shiny' web application developed by the Breeding Insight team to support pedigree validation and ancestry assessment of plant and animal populations. The app integrates Mendelian error analysis, parentage assignment and genetic composition/ancestry methods to help researchers evaluate genomic relationships through an accessible, web-based interface without requiring command-line tools. Pedigree validation, Mendelian error analysis and parentage assignment build on the 'BIGpopA' package (<https://CRAN.R-project.org/package=BIGpopA>) and support diploid and polyploid data. Genotypes can be uploaded as dosage tables, VCF files, or 'PLINK' .ped files. Ancestry estimation uses the sparse non-negative matrix factorization method of Frichot et al. (2014) <doi:10.1534/genetics.113.160572> as implemented in the 'LEA' package by Frichot and Francois (2015) <doi:10.1111/2041-210X.12382>. Line and breed composition are estimated using the breed composition regression [...truncated...]
Author: Josue Chinchilla-Vargas [aut, cre], Alexander M. Sandercock [aut], Breeding Insight Team [aut]
Maintainer: Josue Chinchilla-Vargas <josue.chinchilla@ufl.edu>

Diff between Familia versions 2.0.0 dated 2026-08-24 and 2.2.0 dated 2026-10-28

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Package controlledburn updated to version 0.3.2 with previous version 0.3.1 dated 2026-10-24

Title: Sparse Geometry Rasterization with Exact Coverage Fractions
Description: Rasterize polygon, line, and point geometry without materializing any pixel values. For polygons it computes exact coverage fractions for polygon-grid intersections, returning sparse tables: run-length encoded interior cells and individually weighted boundary cells. The scanline algorithm is O(perimeter) in both time and memory, using the scan line fill attributed to Wylie et al. (1967) <doi:10.1145/1465611.1465619>. Exact coverage fractions use the exactextract algorithm by Daniel Baston, vendored from the 'exactextractr' package <doi:10.32614/CRAN.package.exactextractr>. Derived from the 'fasterize' package by Noam Ross.
Author: Michael Sumner [aut, cre] , Noam Ross [aut] , EcoHealth Alliance [cph] , Jim Hester [ctb] , Daniel Baston [cph] ), ISciences, LLC [cph] )
Maintainer: Michael Sumner <mdsumner@gmail.com>

Diff between controlledburn versions 0.3.1 dated 2026-10-24 and 0.3.2 dated 2026-10-28

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Package carrier updated to version 0.4.0 with previous version 0.3.0.4 dated 2025-09-11

Title: Isolate Functions for Remote Execution
Description: Sending functions to remote processes can be wasteful of resources because they carry their environments with them. With the carrier package, it is easy to create functions that are isolated from their environment. These isolated functions, also called crates, print at the console with their total size and can be easily tested locally before being sent to a remote.
Author: Lionel Henry [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Lionel Henry <lionel@posit.co>

Diff between carrier versions 0.3.0.4 dated 2025-09-11 and 0.4.0 dated 2026-10-28

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New package BayesAiken with initial version 2.0.0
Package: BayesAiken
Title: Bayesian Content Validity Coefficients with Credibility Intervals
Version: 2.0.0
Date: 2026-09-24
Description: Bayesian inference for the six rating coefficients proposed by Aiken (1985) <doi:10.1177/0013164485451012> and Aiken (1989) <doi:10.1177/0013164489492003>: V (content validity), H (homogeneity), C (congruence), R (repeatability), A (rater agreement) and I (item coherence). All six are expressed as functionals of the population distribution of rating categories, so a single Dirichlet-Multinomial model yields their full posterior by push-forward. This treats each judge as one categorical observation and avoids the pseudo-replication of Beta-Binomial formulations. R is modelled on the c-by-c joint table because it is not a functional of the marginal distribution. Provides classical estimates with the correct parity correction, highest density and equal-tailed credibility intervals, posterior threshold probabilities, prior sensitivity analysis and a friendly step-by-step verbose report.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, utils
Suggests: testthat (>= 3.0.0), shiny, readxl, writexl, openxlsx
URL: https://github.com/jventural/BayesAiken
BugReports: https://github.com/jventural/BayesAiken/issues
NeedsCompilation: no
Packaged: 2026-10-16 13:21:58 UTC; PC
Author: Jose Ventura-Leon [aut, cre]
Maintainer: Jose Ventura-Leon <jventuraleon@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:00:18 UTC

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Package aqp updated to version 2.3.3 with previous version 2.3.2 dated 2026-04-30

Title: Algorithms for Quantitative Pedology
Description: The Algorithms for Quantitative Pedology (AQP) project was started in 2009 to organize a loosely-related set of concepts and source code on the topic of soil profile visualization, aggregation, and classification into this package (aqp). Over the past 8 years, the project has grown into a suite of related R packages that enhance and simplify the quantitative analysis of soil profile data. Central to the AQP project is a new vocabulary of specialized functions and data structures that can accommodate the inherent complexity of soil profile information; freeing the scientist to focus on ideas rather than boilerplate data processing tasks <doi:10.1016/j.cageo.2012.10.020>. These functions and data structures have been extensively tested and documented, applied to projects involving hundreds of thousands of soil profiles, and deeply integrated into widely used tools such as SoilWeb <https://casoilresource.lawr.ucdavis.edu/soilweb-apps>. Components of the AQP project (aqp, soilD [...truncated...]
Author: Dylan Beaudette [aut, cre] , Pierre Roudier [aut, ctb], Andrew Brown [aut, ctb], Stephen Roecker [aut, ctb], David Rossiter [ctb]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>

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New package aidR with initial version 0.2.4
Package: aidR
Title: Reading and Standardizing Automated Insulin Delivery Data
Version: 0.2.4
Description: Parses the native exports of several automated insulin delivery (AID) platforms into a common, platform-independent format for continuous glucose monitoring (CGM), basal, bolus, carbohydrate, and self-monitored blood glucose (SMBG) data. Additional functions check completeness, filter, produce visualizations, and convert the data to other formats.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: readxl, tools, dplyr, lubridate, rjson, tidyr, stringr, utils, rlang, stats, graphics, iglu, hms
Suggests: knitr, rmarkdown, cgmquantify, ggplot2, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://github.com/madleina/aidR
BugReports: https://github.com/madleina/aidR/issues
NeedsCompilation: no
Packaged: 2026-10-16 12:43:03 UTC; madleina
Author: Madleina Caduff [aut, cre] , Aritz Lizoain [aut] , Diabetes Center Berne [cph, fnd]
Maintainer: Madleina Caduff <madleina.caduff@dcberne.com>
Repository: CRAN
Date/Publication: 2026-10-28 11:00:09 UTC

More information about aidR at CRAN
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Package washr updated to version 1.2.0 with previous version 1.1.0 dated 2026-09-02

Title: Publication Toolkit for Water, Sanitation and Hygiene (WASH) Data
Description: A toolkit to set up an R data package in a consistent structure. Automates tasks like tidy data export, data dictionary documentation, README and website creation, and citation management.
Author: Mian Zhong [aut] , Margaux Goetschmann [aut] , Colin Walder [aut] , Lars Schoebitz [aut, cre] , Global Health Engineering, ETH Zurich [cph]
Maintainer: Lars Schoebitz <lschoebitz@ethz.ch>

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Package thisutils updated to version 0.5.3 with previous version 0.5.0 dated 2026-08-21

Title: Reliable Utilities for Reusable Research Workflows
Description: Provides reusable building blocks for research packages across matrix representation, numerical computation, neighborhood evaluation, controlled execution, and runtime interoperability. Core tools preserve declared sparse semantics, expose dense-memory and output boundaries, standardize neighborhood and classification results, and align serial and parallel result and error behavior. Additional helpers support structured messages, optional dependency checks, and common statistical workflows.
Author: Meng Xu [aut, cre] , Haoliang Zhu [aut]
Maintainer: Meng Xu <mengxu98@qq.com>

Diff between thisutils versions 0.5.0 dated 2026-08-21 and 0.5.3 dated 2026-10-28

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Package spinebil updated to version 1.0.6 with previous version 1.0.5 dated 2025-10-17

Title: Investigating New Projection Pursuit Index Functions
Description: Projection pursuit is used to find interesting low-dimensional projections of high-dimensional data by optimizing an index over all possible projections. The 'spinebil' package contains methods to evaluate the performance of projection pursuit index functions using tour methods. A paper describing the methods can be found at <doi:10.1007/s00180-020-00954-8>.
Author: Ursula Laa [aut] , Dianne Cook [aut] , Tina Rashid Jafari [aut, cre]
Maintainer: Tina Rashid Jafari <tina.rashidjafari@gmail.com>

Diff between spinebil versions 1.0.5 dated 2025-10-17 and 1.0.6 dated 2026-10-28

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Package glmnet updated to version 5.2 with previous version 5.1 dated 2026-09-24

Title: Lasso and Elastic-Net Regularized Generalized Linear Models
Description: Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression, Cox model, multiple-response Gaussian, and the grouped multinomial regression; see <doi:10.18637/jss.v033.i01> and <doi:10.18637/jss.v039.i05>. There are two new and important additions. The family argument can be a GLM family object, which opens the door to any programmed family (<doi:10.18637/jss.v106.i01>). This comes with a modest computational cost, so when the built-in families suffice, they should be used instead. The other novelty is the relax option, which refits each of the active sets in the path unpenalized. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the papers cited.
Author: Jerome Friedman [aut], Trevor Hastie [aut, cre], Rob Tibshirani [aut], Balasubramanian Narasimhan [aut], Kenneth Tay [aut], Noah Simon [aut], Junyang Qian [ctb], James Yang [aut], Jonathan Taylor [aut]
Maintainer: Trevor Hastie <hastie@stanford.edu>

Diff between glmnet versions 5.1 dated 2026-09-24 and 5.2 dated 2026-10-28

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Package discoCVI updated to version 0.2.1 with previous version 0.2.0 dated 2026-10-27

Title: Implementation of the DISCO Metric for Internal Clustering Evaluation
Description: Implementation of the DISCO (Density-based Internal Score for Clusterings with nOise) metric, a cluster validity index for evaluating density-based clustering results without ground truth labels. DISCO is the first index to explicitly assess the quality of noise point assignments in addition to cluster quality. It uses density-connectivity distance derived from a minimum spanning tree of the mutual-reachability graph, providing interpretable, bounded scores in [-1, 1]. Higher scores indicate better clustering. Based on Beer et al. (2025) <doi:10.48550/arXiv.2503.00127>.
Author: Amin Entezari [aut, cre] , Davide Chicco [ctb] , Anna Beer [aut] ), Lena Krieger [aut] ), Pascal Weber [aut] )
Maintainer: Amin Entezari <amin_entezari@outlook.com>

Diff between discoCVI versions 0.2.0 dated 2026-10-27 and 0.2.1 dated 2026-10-28

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Package wsMed updated to version 1.2.0 with previous version 1.1.0 dated 2026-09-18

Title: Within-Subject Mediation Analysis Using Structural Equation Modeling
Description: Within-subject mediation analysis using structural equation modeling. Examine how changes in an outcome variable between two conditions are mediated through one or more variables. Supports within-subject mediation analysis using the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02>, and extends Monte Carlo confidence interval estimation to missing data scenarios using the 'semmcci' package by Pesigan and Cheung (2023) <doi:10.3758/s13428-023-02114-4>.
Author: Wendie Yang [aut, cre] , Shu Fai Cheung [aut]
Maintainer: Wendie Yang <1581075494q@gmail.com>

Diff between wsMed versions 1.1.0 dated 2026-09-18 and 1.2.0 dated 2026-10-28

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More information about wsMed at CRAN
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Package thisplot updated to version 0.4.6 with previous version 0.4.3 dated 2026-08-01

Title: Utility Functions for Plotting
Description: Provides utility functions for plotting. Includes functions for color manipulation, plot customization, panel size control, data optimization for plots, and layout adjustments.
Author: Meng Xu [aut, cre] , Haoliang Zhu [aut]
Maintainer: Meng Xu <mengxu98@qq.com>

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Package CompositionalSR updated to version 1.5 with previous version 1.4 dated 2026-04-14

Title: Spatial Regression Models with Compositional Data
Description: Spatial and non-spatial regression models with compositional responses (and compositional predictors) using the alpha--transformation. Relevant papers include: Tsagris M. and Pantazis Y. (2026), <doi:10.48550/arXiv.2510.12663>, Tsagris M. (2015), <https://soche.cl/chjs/volumes/06/02/Tsagris(2015).pdf>, Tsagris M.T., Preston S. and Wood A.T.A. (2011), <doi:10.48550/arXiv.1106.1451>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package cna updated to version 4.1.0 with previous version 4.0.3 dated 2025-06-02

Title: Causal Modeling with Coincidence Analysis
Description: Provides comprehensive functionalities for causal modeling with Coincidence Analysis (CNA), which is a configurational comparative method of causal data analysis that was first introduced in Baumgartner (2009) <doi:10.1177/0049124109339369>, and generalized in Baumgartner & Ambuehl (2020) <doi:10.1017/psrm.2018.45>. CNA is designed to recover INUS-causation from data, which is particularly relevant for analyzing processes featuring conjunctural causation (component causation) and equifinality (alternative causation). CNA is currently the only method for INUS-discovery that allows for multiple effects (outcomes/endogenous factors), meaning it can analyze common-cause and causal chain structures. Moreover, as of version 4.0, it is the only method of its kind that provides measures for model evaluation and selection that are custom-made for the problem of INUS-discovery.
Author: Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph], Ruedi Epple [ctb], Veli-Pekka Parkkinen [ctb], Alrik Thiem [ctb]
Maintainer: Mathias Ambuehl <mathias.ambuehl@consultag.ch>

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Package likelihood.model updated to version 1.0.2 with previous version 1.0.1 dated 2026-05-24

Title: Likelihood-Based Statistical Inference in the Fisherian Tradition
Description: Facilitates building likelihood models in the Fisherian tradition following Richard Royall (1997, ISBN:978-0412044113) "Statistical Evidence: A Likelihood Paradigm". Defines generic methods for working with likelihoods (loglik(), score(), hess_loglik(), fim()) and provides functions for pure likelihood-based inference (support(), relative_likelihood(), likelihood_interval(), profile_loglik()).
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>

Diff between likelihood.model versions 1.0.1 dated 2026-05-24 and 1.0.2 dated 2026-10-28

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Package flexhaz updated to version 0.5.3 with previous version 0.5.2 dated 2026-05-23

Title: Dynamic Failure Rate Distributions for Survival Analysis
Description: Flexible framework for specifying survival distributions through their hazard (failure rate) functions. Define arbitrary time-varying hazard functions to model complex failure patterns including bathtub curves, proportional hazards with covariates, and other non-standard hazard behaviors. Provides automatic computation of survival, CDF, PDF, quantiles, and sampling. Implements the likelihood model interface for maximum likelihood estimation with right-censored and left-censored survival data.
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <queelius@gmail.com>

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Package compositional.mle updated to version 2.0.1 with previous version 2.0.0 dated 2026-03-19

Title: Compositional Maximum Likelihood Estimation
Description: Provides composable optimization strategies for maximum likelihood estimation (MLE). Solvers are first-class functions that combine via sequential chaining, parallel racing, and random restarts. Implements gradient ascent, Newton-Raphson, quasi-Newton (BFGS), and derivative-free methods with support for constrained optimization and tracing. Returns 'mle' objects compatible with 'algebraic.mle' for downstream analysis. Methods based on Nocedal J, Wright SJ (2006) "Numerical Optimization" <doi:10.1007/978-0-387-40065-5>.
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <queelius@gmail.com>

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Package algebraic.mle updated to version 2.0.3 with previous version 2.0.2 dated 2026-03-19

Title: Algebraic Maximum Likelihood Estimators
Description: The maximum likelihood estimator (MLE) is a technology: under regularity conditions, any MLE is asymptotically normal with variance given by the inverse Fisher information. This package exploits that structure by defining an algebra over MLEs. Compose independent estimators into joint MLEs via block-diagonal covariance ('joint'), optimally combine repeated estimates via inverse-variance weighting ('combine'), propagate transformations via the delta method ('rmap'), and bridge to distribution algebra via conversion to normal or multivariate normal objects ('as_dist'). Supports asymptotic ('mle', 'mle_numerical') and bootstrap ('mle_boot') estimators with a unified interface for inference: confidence intervals, standard errors, AIC, Fisher information, and predictive intervals. For background on maximum likelihood estimation, see Casella and Berger (2002, ISBN:978-0534243128). For the delta method and variance estimation, see Lehmann and Casella (1998, ISBN:978-0387985022).
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>

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Package GiniDecompLY (with last version 1.0.1) was removed from CRAN

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

2024-11-26 1.0.1
2024-01-19 1.0.0

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Package dynutils updated to version 1.0.13 with previous version 1.0.12 dated 2025-09-02

Title: Common Functionality for the 'dynverse' Packages
Description: Provides common functionality for the 'dynverse' packages. 'dynverse' is created to support the development, execution, and benchmarking of trajectory inference methods. For more information, check out <https://dynverse.org>.
Author: Robrecht Cannoodt [aut, cre] , Wouter Saelens [aut]
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

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Package enrichit updated to version 0.2.7 with previous version 0.2.6 dated 2026-10-06

Title: 'C++' Implementations of Functional Enrichment Analysis
Description: Fast implementations of functional enrichment analysis methods using 'C++' via 'Rcpp'. Currently provides Over-Representation Analysis (ORA), Gene Set Enrichment Analysis (GSEA), design-aware GSEA on RNA-seq counts with per-sample gene set scoring, Weighted Enrichment Analysis for ORA and GSEA, Network-based Set Enrichment Analysis (NSEA), multi-layer network-based enrichment, and multi-omics integration workflows. Additional features include early fusion at the feature level, late fusion at the pathway level, multi-omics contribution tracing, topology-aware explanation helpers, Bayesian term selection, and extremely fast Random Walk with Restart (RWR) using 'RcppEigen'. The enrichment methods build on GSEA by Subramanian et al. (2005) <doi:10.1073/pnas.0506580102>, the multilevel strategy derived from 'fgsea' by Korotkevich et al. (2021) <doi:10.1101/060012>, and network-based enrichment ideas described by Glaab et al. (2012) <doi:10.1093/bioinformatics/bts389>.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Tue, 27 Oct 2026

Package figsr updated to version 0.2.0 with previous version 0.1.0 dated 2026-08-31

Title: Fast Interpretable Greedy-Tree Sums for Tree Ensembles
Description: Flexible, interpretable machine learning algorithm for additive tree sums (FIGS). Fits a sum of shallow classification and regression trees (CART) by greedily minimizing residual impurity, growing a new tree or deepening an existing one at each step, whichever reduces the residuals most. Supports regression and two-class classification, variable importance, 'ggplot2' graphics, bootstrap ensembling and seamless integration with 'parsnip' and 'tidymodels' workflows. The method is described in Tan et al. (2023) <doi:10.1073/pnas.2310151122>.
Author: Joao Paulo Assis Bonifacio [aut, cre, cph] , Geraldo Magela da Cruz Pereira [aut, cph] , Pedro Mambelli Fernandes [aut, cph] , Joao Vitor Andrade Alves de Souza [aut, cph]
Maintainer: Joao Paulo Assis Bonifacio <jpab.27@hotmail.com>

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Package kindisperse updated to version 0.10.3 with previous version 0.10.2 dated 2021-07-28

Title: Simulate and Estimate Close-Kin Dispersal Kernels
Description: Functions for simulating and estimating kinship-related dispersal. Based on the methods described in M. Jasper, T.L. Schmidt., N.W. Ahmad, S.P. Sinkins & A.A. Hoffmann (2019) <doi:10.1111/1755-0998.13043> "A genomic approach to inferring kinship reveals limited intergenerational dispersal in the yellow fever mosquito". Assumes an additive variance model of dispersal in two dimensions, compatible with Wright's neighbourhood area. Simple and composite dispersal simulations are supplied, as well as the functions needed to estimate parent-offspring dispersal for simulated or empirical data, and to undertake sampling design for future field studies of dispersal. For ease of use an integrated Shiny app is also included.
Author: Moshe-Elijah Jasper [aut, cre]
Maintainer: Moshe-Elijah Jasper <moshe.jasper@unimelb.edu.au>

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

Title: Tools for Dyadic Multilevel Models
Description: Provides tools for dyadic multilevel modeling with linear and generalized linear mixed-effects models. It validates and prepares long-format cross-sectional and intensive longitudinal data, including ecological momentary assessment designs, for distinguishable and exchangeable dyads. It also supports datasets containing multiple observed dyad compositions. It constructs composition-aware, model-ready variables for Actor-Partner Interdependence Models (APIMs), Dyad-Individual Models (DIMs), and Dyadic Score Models (DSMs). Prepared data can be used with model engines such as 'glmmTMB' and 'brms' for Gaussian and non-Gaussian outcomes, including counts, proportions, and skewed continuous responses. Post-estimation tools compare compatible fitted models and back-transform exchangeable sum-and-difference random-effect covariance structures into member-level quantities. Experimental predictive checks compare observed and simulated response variances and partner correlations in Gaussian and s [...truncated...]
Author: Pascal Kueng [aut, cre, cph]
Maintainer: Pascal Kueng <kueng.pascal@gmail.com>

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Package doclingr updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-10

Title: Document Intelligence via 'Docling'
Description: An interface to 'Docling', a document-understanding library that converts 'PDF', 'DOCX', 'PPTX', 'HTML' and image documents into structured, AI-ready data. The package wraps the 'Docling' 'Python' package through 'reticulate' to extract layout-aware text, tables and metadata, export to 'Markdown' or 'JSON', and split documents into context-rich chunks suitable for retrieval-augmented generation (RAG) and embedding pipelines.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package rYWAASB updated to version 0.4.2 with previous version 0.4.1 dated 2026-07-12

Title: Simultaneous Selection by Trait and WAASB Index
Description: This tool proposes a new ranking algorithm that utilizes a "Y*WAASB" biplot generated by the 'metan'. The aim of the current package is to effectively distinguish the top-ranked genotypes in MET (Multi-Environmental Trials). For a detailed explanation of the process of obtaining "WAASB", "WAASBY" indices, and a "Y*WAASB" biplot, refer to the manual included in this package as well as the study by Olivoto & Lúcio (2020) <doi:10.1111/2041-210X.13384>. In this context, "WAASB" refers to the "Weighted Average of Absolute Scores" provided by Olivoto et al. (2019) <doi:10.2134/agronj2019.03.0220>, which quantifies the stability of genotypes across different environments using linear mixed-effect models. To run the package, you need to extract the "WAASB" and "WAASBY" coefficients using the 'metan' and apply them. This tool utilizes PCA (Principal Component Analysis) and differentiates the entries which may be genotypes, hybrids, varieties, etc using "WAASB", "WAASBY", and a c [...truncated...]
Author: Ali Arminian [aut, cre, cph]
Maintainer: Ali Arminian <abeyran@gmail.com>

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Package OmopIndices updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-17

Title: Patient-Level Indices from the OMOP Common Data Model
Description: Provides tools to derive standardised, reproducible patient-level indices and covariates from Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) databases. Functions calculate comorbidity and frailty scores, including the Charlson Comorbidity Index, Electronic Frailty Index, and Hospital Frailty Risk Score, as well as body mass index, polypharmacy, ethnicity, location, and socioeconomic status measures.
Author: Marti Catala [aut, cre] , Marta Alcalde-Herraiz [aut] , Maria T Sanchez-Santos [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package iq updated to version 2.1.0 with previous version 2.0.1 dated 2026-03-21

Title: Protein Quantification in Mass Spectrometry-Based Proteomics
Description: An implementation of the MaxLFQ algorithm by Cox et al. (2014) <doi:10.1074/mcp.M113.031591> in a comprehensive pipeline for processing proteomics data in data-independent acquisition mode (Pham et al. 2020 <doi:10.1093/bioinformatics/btz961>; Pham et al. 2026 <doi:10.1021/acs.jproteome.5c01038>). It offers additional options for protein quantification using the N most intense fragment ions, using all fragment ions, the median polish algorithm by Tukey (1977, ISBN:0201076160), and a robust linear model. In general, the tool can be used to integrate multiple proportional observations into a single quantitative value.
Author: Thang Pham [aut, cre, cph, ctb] , Alex Henneman [ctb]
Maintainer: Thang Pham <t.pham@amsterdamumc.nl>

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Package discoCVI updated to version 0.2.0 with previous version 0.1.1 dated 2026-05-05

Title: Implementation of the DISCO Metric for Internal Clustering Evaluation
Description: Implementation of the DISCO (Density-based Internal Score for Clusterings with nOise) metric, a cluster validity index for evaluating density-based clustering results without ground truth labels. DISCO is the first index to explicitly assess the quality of noise point assignments in addition to cluster quality. It uses density-connectivity distance derived from a minimum spanning tree of the mutual-reachability graph, providing interpretable, bounded scores in [-1, 1]. Higher scores indicate better clustering. Based on Beer et al. (2025) <doi:10.48550/arXiv.2503.00127>.
Author: Amin Entezari [aut, cre] , Davide Chicco [ctb] , Anna Beer [aut] ), Lena Krieger [aut] ), Pascal Weber [aut] )
Maintainer: Amin Entezari <amin_entezari@outlook.com>

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Package SpaDES.tools updated to version 2.2.0 with previous version 2.1.3 dated 2026-08-28

Title: Additional Tools for Developing Spatially Explicit Discrete Event Simulation (SpaDES) Models
Description: Provides GIS and map utilities, plus additional modeling tools for developing cellular automata, dynamic raster models, and agent based models in 'SpaDES'. Included are various methods for spatial spreading, spatial agents, GIS operations, random map generation, and others. See '?SpaDES.tools' for a categorized overview of these additional tools.
Author: Eliot J B McIntire [aut] , Alex M Chubaty [aut, cre] , Yong Luo [ctb], Ceres Barros [ctb] , Steve Cumming [ctb], Jean Marchal [ctb], His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <achubaty@for-cast.ca>

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Package glmulti updated to version 1.0.9 with previous version 1.0.8 dated 2020-05-26

Title: Model Selection and Multimodel Inference Made Easy
Description: Automated model selection and model-averaging. Provides a wrapper for glm and other functions, automatically generating all possible models (under constraints set by the user) with the specified response and explanatory variables, and finding the best models in terms of some Information Criterion (AIC, AICc or BIC). Can handle very large numbers of candidate models. Features a Genetic Algorithm to find the best models when an exhaustive screening of the candidates is not feasible.
Author: Vincent Calcagno [aut, cre]
Maintainer: Vincent Calcagno <vincent.calcagno@inrae.fr>

Diff between glmulti versions 1.0.8 dated 2020-05-26 and 1.0.9 dated 2026-10-27

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Package bifactory updated to version 0.6.1 with previous version 0.6.0 dated 2026-09-09

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 'lavaan', 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 tempted updated to version 0.1.2 with previous version 0.1.1 dated 2024-05-08

Title: Temporal Tensor Decomposition, a Dimensionality Reduction Tool for Longitudinal Multivariate Data
Description: TEMPoral TEnsor Decomposition (TEMPTED), is a dimension reduction method for multivariate longitudinal data with varying temporal sampling. It formats the data into a temporal tensor and decomposes it into a summation of low-dimensional components, each consisting of a subject loading vector, a feature loading vector, and a continuous temporal loading function. These loadings provide a low-dimensional representation of subjects or samples and can be used to identify features associated with clusters of subjects or samples. TEMPTED provides the flexibility of allowing subjects to have different temporal sampling, so time points do not need to be binned, and missing time points do not need to be imputed.
Author: Pixu Shi [aut, cre]
Maintainer: Pixu Shi <pixu.shi@duke.edu>

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Package adbcdrivermanager updated to version 0.25.0 with previous version 0.24.0-3 dated 2026-09-14

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

Diff between adbcdrivermanager versions 0.24.0-3 dated 2026-09-14 and 0.25.0 dated 2026-10-27

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New package truedist with initial version 0.1.0
Package: truedist
Title: Estimating the Distribution of True Effects from Noisy Estimates
Version: 0.1.0
Description: Estimates the distribution of true effects (or any latent parameter) from estimates that each have a known, possibly different, standard error. The main function, em_smooth(), implements the smoothed EM (EMS) algorithm of Silverman, Jones, Wilson and Nychka (1990) <doi:10.1111/j.2517-6161.1990.tb01788.x> for a nonparametric mixing distribution on a grid. The smoothing uses one constant standard deviation, set from the typical standard error and the sample size.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
Imports: graphics, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-17 12:54:42 UTC; ph3828
Author: Paul von Hippel [aut, cre]
Maintainer: Paul von Hippel <ph3828@eid.utexas.edu>
Repository: CRAN
Date/Publication: 2026-10-27 18:30:02 UTC

More information about truedist at CRAN
Permanent link

New package transformerpalettes with initial version 0.4.0
Package: transformerpalettes
Title: Color Palettes Inspired by Transformers Toys, Cartoons and Comics
Version: 0.4.0
Description: Color palettes drawn from the Transformers franchise, centered on the 1984-1989 Generation 1 toys and extending to their Generation 2 re-releases, the cartoon animation models and the Marvel comics. Covers the leaders, every member and combined form of the combiner teams (Aerialbots, Protectobots, Technobots, Constructicons, Stunticons, Combaticons, Terrorcons, Predacons, Seacons, Pretender Monsters and Breastforce), the Dinobots, the Seeker jets, Soundwave and the cassettes, the Insecticons, the 1984 Autobot cars and Mini Vehicles and the 1986 movie cast, with separate palettes for the toy, the cartoon animation model, the Marvel comic coloring and the Generation 2 re-release where each exists. Includes 'ggplot2' color and fill scales for discrete and continuous data, team palettes that take one color from each member of a combiner team, metadata linking each palette to its character, faction, team and reference page, and helpers to shortlist palettes that suit categorical, color-blin [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5)
Imports: ggplot2, grDevices, graphics, stats, utils
Suggests: testthat (>= 3.0.0)
URL: https://bmaitner.github.io/transformerpalettes/, https://github.com/bmaitner/transformerpalettes
BugReports: https://github.com/bmaitner/transformerpalettes/issues
NeedsCompilation: no
Packaged: 2026-10-17 15:28:48 UTC; bmaitner
Author: Brian Maitner [aut, cre]
Maintainer: Brian Maitner <bmaitner@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-27 18:30:07 UTC

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New package ReguGLH with initial version 0.1.0
Package: ReguGLH
Title: General Linear Hypothesis Tests via Spectral Shrinkage
Version: 0.1.0
Contact: Haoran Li <haoranli1990@gmail.com> (secondary email)
Description: Implements high-dimensional general linear hypothesis tests using ridge, reciprocal cubic polynomial, and user-defined analytic spectral regularizers. Provides prior-based shrinkage selection and Gaussian maximum calibration for composite tests. Implements the methods of Li, Aue and Paul (2020), "High-dimensional general linear hypothesis tests via non-linear spectral shrinkage", Bernoulli, 26(4), 2541-2571 <doi:10.3150/19-BEJ1186>.
License: GPL-3
Encoding: UTF-8
Imports: stats
NeedsCompilation: no
Packaged: 2026-10-17 22:07:23 UTC; haoranli
Author: Haoran Li [aut, cre]
Maintainer: Haoran Li <hzl0152@auburn.edu>
Repository: CRAN
Date/Publication: 2026-10-27 18:40:08 UTC

More information about ReguGLH at CRAN
Permanent link

New package radiatR with initial version 0.1.3
Package: radiatR
Title: Analyse and Visualise Headings and Trajectories on the Unit Disk
Version: 0.1.3
Description: A complete pipeline for analysing directional data -- headings and trajectories on the unit disk. Supply a table of angles directly, or reconstruct headings from movement trajectories imported from tracking tools ('EthoVision', 'DeepLabCut', 'SLEAP', 'TRex', 'ANY-maze', 'TrackMate', 'idtracker.ai', and others) via a unified dialect-based loader system, including multi-bodypart pose estimation with likelihood-weighted centroid. Derives per-trial heading directions using multiple rules (ring-crossing, distal point, pose body-axis, velocity-based, and more). Computes circular statistics including mean direction, resultant length, von Mises and wrapped Cauchy parametric fits, circular correlation (circular-linear and circular-circular), circular-linear regression (Fisher and Lee (1992) <doi:10.2307/2532334>), model selection among orientation models (Fitak and Johnsen (2017) <doi:10.1242/jeb.167056>), and uniformity and multi-sample hypothesis tests (Rayleigh, Watson-Williams, [...truncated...]
URL: https://johnkirwan.github.io/radiatR/, https://github.com/JohnKirwan/radiatR
BugReports: https://github.com/JohnKirwan/radiatR/issues
License: GPL (>= 3)
Copyright: file inst/COPYRIGHTS
Encoding: UTF-8
Language: en-GB
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1.0)
Imports: rlang, ggplot2, tibble, vctrs, circular, methods, utils, stats
Suggests: bpDir, dplyr (>= 1.0.0), testthat (>= 3.2.0), knitr, rmarkdown, ggrepel, arrow, data.table (>= 1.14.0), jsonlite, readr, readxl, yaml, withr, writexl, shiny (>= 1.7.0), bslib (>= 0.5.0), pkgload, png, jpeg, svglite, shinytest2, chromote, CircMLE, vdiffr, sphunif
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-17 11:54:15 UTC; jdk
Author: John D. Kirwan [aut, cre, cph], A. & M.W. Mathis Labs [cph] , Talmo Pereira [cph] , The Trustees of Princeton University [cph]
Maintainer: John D. Kirwan <john@jkirwan.org>
Repository: CRAN
Date/Publication: 2026-10-27 18:20:02 UTC

More information about radiatR at CRAN
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New package nesstarR with initial version 0.1.0
Package: nesstarR
Title: Read and Export 'Nesstar' Binary Files
Version: 0.1.0
Description: Reads '.Nesstar' binary files into data frames. '.Nesstar' is the file format of 'Nesstar Publisher', survey documentation software from the International Household Survey Network <https://www.ihsn.org/node/557>. Statistical agencies, for example the Ministry of Statistics and Programme Implementation ('MoSPI', India), publish survey microdata in this format.
License: MIT + file LICENSE
URL: https://nesstarr.saketlab.org, https://github.com/saketkc/nesstarR
BugReports: https://github.com/saketkc/nesstarR/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: tools, utils
Suggests: haven, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-17 16:26:34 UTC; mcclintock
Author: Saket Choudhary [aut, cre, cph]
Maintainer: Saket Choudhary <saketc@iitb.ac.in>
Repository: CRAN
Date/Publication: 2026-10-27 18:40:02 UTC

More information about nesstarR at CRAN
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Package markdown updated to version 2.1 with previous version 2.0 dated 2025-03-23

Title: A Thin Wrapper of 'litedown' to Render Markdown Documents
Description: Render Markdown to HTML/LaTeX. This package has been superseded by 'litedown'. Please call 'litedown::mark()' directly.
Author: Yihui Xie [aut, cre] , JJ Allaire [aut], Jeffrey Horner [aut], Henrik Bengtsson [ctb], Jim Hester [ctb], Yixuan Qiu [ctb], Kohske Takahashi [ctb], Adam November [ctb], Nacho Caballero [ctb], Jeroen Ooms [ctb], Thomas Leeper [ctb], Joe Cheng [ctb], An [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between markdown versions 2.0 dated 2025-03-23 and 2.1 dated 2026-10-27

 markdown-2.0/markdown/inst/examples           |only
 markdown-2.0/markdown/tests/tests.R           |only
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 markdown-2.1/markdown/MD5                     |   13 +++++--------
 markdown-2.1/markdown/NEWS.md                 |    4 ++++
 markdown-2.1/markdown/R/render.R              |   16 +++-------------
 markdown-2.1/markdown/README.md               |   10 ----------
 markdown-2.1/markdown/man/markdown-package.Rd |    1 +
 9 files changed, 21 insertions(+), 40 deletions(-)

More information about markdown at CRAN
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New package glyospalettes with initial version 0.3.0
Package: glyospalettes
Title: Color Palettes Inspired by Glyos Colorways
Version: 0.3.0
Description: Color palettes based on the named colorways of the Glyos toy system: Onell Design's Glyos System Series and the Glyos-compatible lines from partner companies such as TheGodBeast, Spy Monkey Creations, Toyfinity and the Four Horsemen. Includes 'ggplot2' color and fill scales for discrete and continuous data, metadata linking each palette to its company and product line, helpers to shortlist palettes that suit categorical, color-blind-safe, sequential or diverging use, and tools to combine palettes (one color per colorway) or pick the most distinguishable colors from a pool for a light, dark or grayscale plot. Hex values are approximations curated from product photography. This is a fan project and is not affiliated with or endorsed by any of the companies.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5)
Imports: ggplot2, grDevices, graphics, stats, utils
Suggests: testthat (>= 3.0.0)
URL: https://bmaitner.github.io/glyospalettes/, https://github.com/bmaitner/glyospalettes
BugReports: https://github.com/bmaitner/glyospalettes/issues
NeedsCompilation: no
Packaged: 2026-10-17 15:32:26 UTC; bmaitner
Author: Brian Maitner [aut, cre]
Maintainer: Brian Maitner <bmaitner@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-27 18:30:14 UTC

More information about glyospalettes at CRAN
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Package caugi updated to version 1.4.0 with previous version 1.3.0 dated 2026-09-09

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>

Diff between caugi versions 1.3.0 dated 2026-09-09 and 1.4.0 dated 2026-10-27

 DESCRIPTION                            |    6 
 MD5                                    |  149 ++++++++++----------
 NAMESPACE                              |    1 
 NEWS.md                                |   53 +++++++
 R/DSL-parser.R                         |   29 ++-
 R/caugi.R                              |    2 
 R/extendr-wrappers.R                   |   14 +
 R/format-caugi.R                       |    2 
 R/format-dot.R                         |    2 
 R/format-graphml.R                     |    3 
 R/format-mermaid.R                     |    2 
 R/methods.R                            |   47 +++---
 R/operations.R                         |   83 +----------
 R/queries.R                            |   42 +++++
 R/verbs.R                              |   51 ++++--
 R/zzz.R                                |   16 ++
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 src/rust/src/graph/admg/msep.rs        |  126 ++++++++++++-----
 src/rust/src/graph/aid.rs              |   42 ++++-
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 src/rust/src/graph/metrics.rs          |  124 ++++++++++++----
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 src/rust/src/graph/serialization.rs    |   13 -
 src/rust/src/graph/session.rs          |   97 +++++++++++++
 src/rust/src/graph/view.rs             |   15 ++
 src/rust/src/lib.rs                    |  153 +++++++++++++++++++-
 tests/testthat/test-DSL-parser.R       |   24 +++
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 tests/testthat/test-plot-composition.R |   10 -
 tests/testthat/test-registry.R         |   47 ++++++
 tests/testthat/test-verbs.R            |   79 ++++++++++
 vignettes/comparisons.Rmd              |    2 
 vignettes/performance.Rmd              |    2 
 77 files changed, 1384 insertions(+), 347 deletions(-)

More information about caugi at CRAN
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Package asymmetry updated to version 2.0.7 with previous version 2.0.6 dated 2026-03-05

Title: Multidimensional Scaling of Asymmetric Proximities
Description: Multidimensional scaling models and methods for the visualization and analysis of asymmetric proximity data. An asymmetric data matrix has the same number of rows and columns, and these rows and columns refer to the same set of objects. At least some elements in the upper-triangle are different from the corresponding elements in the lower triangle. An example of an asymmetric matrix is a student migration table, where the rows correspond to the countries of origin of the students and the columns to the destination countries. This package provides algorithms for three multidimensional scaling models, the slide-vector model, a scaling model with unique dimensions and the asymscal model. Furthermore, some other procedures, such as a heat map for skew-symmetric data, and the decomposition of asymmetry are also provided for the exploratory analysis of asymmetric tables.
Author: Berrie Zielman [aut, cre]
Maintainer: Berrie Zielman <berrie.zielman@gmail.com>

Diff between asymmetry versions 2.0.6 dated 2026-03-05 and 2.0.7 dated 2026-10-27

 asymmetry-2.0.6/asymmetry/data/asymscalexample.RData  |only
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 asymmetry-2.0.7/asymmetry/NAMESPACE                   |    1 
 asymmetry-2.0.7/asymmetry/R/asymscal.R                |   25 ++---
 asymmetry-2.0.7/asymmetry/R/hmap.R                    |    3 
 asymmetry-2.0.7/asymmetry/R/mdsunique.R               |   18 ++-
 asymmetry-2.0.7/asymmetry/R/plot.slidevector.R        |    2 
 asymmetry-2.0.7/asymmetry/R/slidevector.R             |   21 +++-
 asymmetry-2.0.7/asymmetry/README.md                   |   14 ++
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 asymmetry-2.0.7/asymmetry/man/plot.Rd                 |    2 
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 asymmetry-2.0.7/asymmetry/vignettes/asymmetry.Rmd     |   42 +-------
 27 files changed, 134 insertions(+), 240 deletions(-)

More information about asymmetry at CRAN
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Package adbcsqlite updated to version 0.25.0 with previous version 0.24.0-2 dated 2026-09-15

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

Diff between adbcsqlite versions 0.24.0-2 dated 2026-09-15 and 0.25.0 dated 2026-10-27

 DESCRIPTION                                                 |    6 
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 69 files changed, 7893 insertions(+), 7415 deletions(-)

More information about adbcsqlite at CRAN
Permanent link

Package adbcpostgresql updated to version 0.25.0 with previous version 0.24.0-2 dated 2026-09-16

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

Diff between adbcpostgresql versions 0.24.0-2 dated 2026-09-16 and 0.25.0 dated 2026-10-27

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 src/c/driver_manager/AdbcDriverManagerConfig.cmake.in       |only
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 src/c/driver_manager/adbc_driver_manager.cc                 |  106 
 src/c/driver_manager/adbc_driver_manager_api.cc             |   64 
 src/c/driver_manager/adbc_driver_manager_driver_loading.cc  |   16 
 src/c/driver_manager/adbc_driver_manager_profiles.cc        |    8 
 src/c/driver_manager/current_arch.h                         |  101 
 src/c/validation/adbc_validation.h                          |    6 
 src/c/validation/adbc_validation_connection.cc              |   12 
 src/c/validation/adbc_validation_statement.cc               |   53 
 src/c/validation/adbc_validation_util.cc                    |   14 
 src/c/validation/adbc_validation_util.h                     |    4 
 src/c/vendor/boost                                          |only
 src/c/vendor/fmt/include/fmt/args.h                         |  173 
 src/c/vendor/fmt/include/fmt/base.h                         | 3814 +++++-------
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 src/c/vendor/fmt/include/fmt/format-inl.h                   | 1611 ++---
 src/c/vendor/fmt/include/fmt/format.h                       | 3306 +++++-----
 src/c/vendor/fmt/include/fmt/os.h                           |  259 
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 src/c/vendor/fmt/include/fmt/std.h                          |  789 +-
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 src/c/vendor/fmt/src/fmt.cc                                 |  109 
 src/c/vendor/fmt/src/format.cc                              |   18 
 src/c/vendor/fmt/src/os.cc                                  |  150 
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 src/c/vendor/nanoarrow/nanoarrow.c                          |   17 
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 70 files changed, 7902 insertions(+), 7422 deletions(-)

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New package zuxml with initial version 0.1.0
Package: zuxml
Title: Small XML Parser and Document Tree
Version: 0.1.0
Description: Reads, navigates, and writes XML documents using a bundled copy of the 'Expat' parser (<https://libexpat.github.io/>), so that no system XML library is required. Documents are parsed into a faithful immutable tree exposed through a small vectorized navigation interface. Parsing is strict by default: document type declarations are rejected, external entity resolution is not compiled in, and configurable limits bound nesting depth and memory use. A registered C interface allows other packages to parse XML without linking against the parser themselves, and to feed it incrementally so that a large document need not be held in memory all at once.
License: MIT + file LICENSE
Copyright: See inst/COPYRIGHTS.
URL: https://github.com/pedrobtz/zuxml, https://pedrobtz.github.io/zuxml/
BugReports: https://github.com/pedrobtz/zuxml/issues
Depends: R (>= 4.1)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-10-17 08:36:28 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], Clark Cooper [ctb] , Fred L. Drake, Jr. [ctb] , Greg Stein [ctb] , James Clark [ctb] , Karl Waclawek [ctb] , Rhodri James [ctb] , Sebastian Pipping [ctb] , Steven Solie [ctb] , William Ahern [ctb] ), Jean-Philippe Auma [...truncated...]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-27 18:00:02 UTC

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New package TTM with initial version 0.1.0
Package: TTM
Title: Terminal Trend Models on the Retrospective Time Scale
Version: 0.1.0
Description: Fits retrospective-time longitudinal models for terminal trend analysis using weighted generalized estimating equations and related joint modeling tools. The package provides functions to estimate spline-based baseline and treatment effect trajectories on the retrospective time scale, obtain pointwise confidence intervals, and visualize fitted trajectories.
License: GPL-2
URL: https://github.com/TChang-W/TTM
BugReports: https://github.com/TChang-W/TTM/issues
Depends: R (>= 4.4.0)
Imports: dplyr, geepack, geer, ggplot2 (>= 3.4.0), lme4, magrittr, splines, stats, survival, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-16 20:46:40 UTC; wtc_a
Author: Tingchang Wang [aut], Zhigang Li [aut, cre]
Maintainer: Zhigang Li <zhigang.li@ufl.edu>
Repository: CRAN
Date/Publication: 2026-10-27 17:10:09 UTC

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Package surveynnet readmission to version 1.0.1 with previous version 1.0.0 dated 2024-12-09

Title: Neural Network for Complex Survey Data
Description: The goal of 'surveynnet' is to extend the functionality of 'nnet', which already supports survey weights, by enabling it to handle clustered and stratified data. It achieves this by incorporating design effects through the use of effective sample sizes as outlined by Chen and Rust (2017), <doi:10.1093/jssam/smw036>, and performed by 'deffCR' in the package 'PracTools' (Valliant, Dever, and Kreuter (2018), <doi:10.1007/978-3-319-93632-1>).
Author: Aaron Cohen [aut, cre] , Raul Cruz-Cano [aut]
Maintainer: Aaron Cohen <cohenaa@iu.edu>

This is a re-admission after prior archival of version 1.0.0 dated 2024-12-09

Diff between surveynnet versions 1.0.0 dated 2024-12-09 and 1.0.1 dated 2026-10-27

 DESCRIPTION               |   12 +++----
 MD5                       |   10 +++---
 R/predict_surveynnet.R    |   25 +++++++++------
 R/surveynnet.R            |   74 +++++++++++++++++++++++++++++++++++-----------
 man/predict.surveynnet.Rd |   18 ++++++++---
 man/surveynnet.Rd         |   35 ++++++++++++++++++---
 6 files changed, 126 insertions(+), 48 deletions(-)

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Package RastaRocket updated to version 1.1.6 with previous version 1.1.5 dated 2026-05-18

Title: Rocket-Fast Clinical Research Reporting
Description: Description of the tables, both grouped and not grouped, with some associated data management actions, such as sorting the terms of the variables and deleting terms with zero numbers.
Author: USMR CHU de Bordeaux [aut, cre], Valentine Renaudeau [aut], Marion Kret [aut], Matisse Decilap [aut], Sahardid Mohamed Houssein [aut], Mohamedou Sow [aut], Thomas Ferte [aut]
Maintainer: USMR CHU de Bordeaux <astreinte.usmr@chu-bordeaux.fr>

Diff between RastaRocket versions 1.1.5 dated 2026-05-18 and 1.1.6 dated 2026-10-27

 DESCRIPTION                           |   11 
 MD5                                   |   50 -
 NAMESPACE                             |    3 
 NEWS.md                               |   37 +
 R/desc_ei_per_pt.R                    |    4 
 R/df_builder_ae.R                     |  258 +++++++--
 R/globals.R                           |    2 
 R/plot_butterfly_stacked_barplot.R    |  182 ++++--
 R/plot_dumbell.R                      |  101 +++
 R/plot_volcano.R                      |   73 +-
 R/prepare_table.R                     |   12 
 R/remove_labelled_type.R              |only
 build/vignette.rds                    |binary
 inst/doc/DescribeAE.Rmd               |    2 
 inst/doc/DescribeAE.html              |  894 +++++++++++++++++-----------------
 inst/doc/RastaRocketVignette.R        |    2 
 inst/doc/RastaRocketVignette.Rmd      |    2 
 inst/doc/RastaRocketVignette.html     |    7 
 inst/doc/SetupProject.html            |    5 
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 man/plot_butterfly_stacked_barplot.Rd |   28 -
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 vignettes/DescribeAE.Rmd              |    2 
 vignettes/RastaRocketVignette.Rmd     |    2 
 27 files changed, 1082 insertions(+), 681 deletions(-)

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New package pyrt with initial version 0.1.0
Package: pyrt
Title: Runtime Support for Converted 'Python' Packages
Version: 0.1.0
Description: Provides the 'Python' runtime semantics required by 'R' packages generated with 'pyport', including reference-semantics containers, class and method-resolution-order dispatch, exception hierarchies, iteration and slicing helpers, arbitrary-precision integer arithmetic, and bit-exact random number generation.
License: MIT + file LICENSE
URL: https://github.com/lauyeehow1986-hub/r_python_converter
BugReports: https://github.com/lauyeehow1986-hub/r_python_converter/issues
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: gmp (>= 0.7-1), R6 (>= 2.5.1), stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-17 11:11:04 UTC; lauye
Author: Yee How Lau [aut, cre, cph]
Maintainer: Yee How Lau <lauyeehow1986@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-27 18:00:08 UTC

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New package mospiR with initial version 0.1.0
Package: mospiR
Title: Client for the 'MoSPI' Microdata Portal
Version: 0.1.0
Description: Download unit-level survey microdata from the Ministry of Statistics and Programme Implementation ('MoSPI', Government of India) Microdata Portal <https://microdata.gov.in>. Provides functions to list datasets, list files within a dataset, and download individual files or entire datasets through the portal's 'NADA' API.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.0.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://mospir.saketlab.org, https://github.com/saketkc/mospiR
BugReports: https://github.com/saketkc/mospiR/issues
NeedsCompilation: no
Packaged: 2026-10-16 21:20:25 UTC; mcclintock
Author: Saket Choudhary [aut, cre]
Maintainer: Saket Choudhary <saketc@iitb.ac.in>
Repository: CRAN
Date/Publication: 2026-10-27 17:10:02 UTC

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New package cudacellr with initial version 0.4.0
Package: cudacellr
Title: GPU-Aware Single-Cell Analysis Workflows
Version: 0.4.0
Description: Provides single-cell analysis primitives for sparse count matrices, including library-size normalization, log-normalization, highly variable feature selection, principal component analysis, and nearest-neighbour construction. Integrates the 'cudaverse' numerical and sparse layers while preserving matrix identifiers and recording the computation backend for each stage. Optional adapters preserve native 'SingleCellExperiment' and 'SeuratObject' version 5 object structures.
License: MIT + file LICENSE
URL: https://cudaverse.github.io/cudacellr/, https://github.com/cudaverse/cudacellr
BugReports: https://github.com/cudaverse/cudacellr/issues
Encoding: UTF-8
Imports: cudaverse (>= 0.4.1), Matrix, methods
Suggests: DelayedArray, knitr, rmarkdown, S4Vectors, SeuratObject (>= 5.0.0), SingleCellExperiment, SummarizedExperiment, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-07 18:09:04 UTC; Li
Author: Yaoxiang Li [aut, cre]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
Repository: CRAN
Date/Publication: 2026-10-27 18:00:14 UTC

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Package BIGpopA updated to version 2.2.1 with previous version 2.2.0 dated 2026-10-12

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

Diff between BIGpopA versions 2.2.0 dated 2026-10-12 and 2.2.1 dated 2026-10-27

 DESCRIPTION                          |    8 +-
 MD5                                  |   17 ++--
 NEWS.md                              |    5 +
 R/check_ped.R                        |  138 +++++++++++++++++++++++------------
 R/find_parentage.R                   |    3 
 inst/doc/BIGpopA.html                |   10 +-
 man/check_ped.Rd                     |    5 +
 tests/testthat/test-check_ped.R      |   68 +++++++++++++++++
 tests/testthat/test-find_parentage.R |   12 +++
 tests/testthat/test-hard-cycles.R    |only
 10 files changed, 199 insertions(+), 67 deletions(-)

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Package tree updated to version 1.0-48 with previous version 1.0-47 dated 2026-08-03

Title: Classification and Regression Trees
Description: Classification and regression trees.
Author: Brian Ripley [aut, cre]
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

Diff between tree versions 1.0-47 dated 2026-08-03 and 1.0-48 dated 2026-10-27

 ChangeLog    |    9 +++++++++
 DESCRIPTION  |   10 +++++-----
 MD5          |    7 ++++---
 src/grow.c   |    2 +-
 tests/gini.R |only
 5 files changed, 19 insertions(+), 9 deletions(-)

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New package rpspanel with initial version 0.1.0
Package: rpspanel
Title: US State Energy-Economy Panels with Renewable Portfolio Standards
Version: 0.1.0
Description: Builds a documented, reproducible state-by-year panel for the 50 US states and the District of Columbia that combines energy consumption, prices and production from the US Energy Information Administration (EIA) State Energy Data System, electricity generation and retail sales, state energy-related carbon dioxide emissions, and state GDP, income and population from the Bureau of Economic Analysis (BEA). Data are downloaded on demand through the official APIs and cached locally, with the source, vintage and transformation of every variable recorded in a codebook. Renewable Portfolio Standard (RPS) rules are turned into standardised annual stringency indices (adoption, nominal, coverage-adjusted and incremental requirements, following Yin and Powers (2010) <doi:10.1016/j.enpol.2009.10.067>, plus design-flexibility indicators). Output works directly with the 'plm', 'fixest' and 'csdm' packages.
License: MIT + file LICENSE
URL: https://github.com/adebayomoses/rpspanel
BugReports: https://github.com/adebayomoses/rpspanel/issues
Depends: R (>= 4.1.0)
Imports: cli, httr2 (>= 1.0.0), stats, tools, utils
Suggests: arrow, fixest, haven, knitr, plm, rmarkdown, testthat (>= 3.1.7), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-15 13:55:44 UTC; Mosdam
Author: Moses Adebayo [aut, cre, cph]
Maintainer: Moses Adebayo <adebayomoses2021@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-27 16:40:02 UTC

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Package querychat readmission to version 0.4.2 with previous version 0.4.1 dated 2026-09-30

Title: Filter and Query Data Frames in 'shiny' Using an LLM Chat Interface
Description: Adds an LLM-powered chatbot to your 'shiny' app, that can turn your users' natural language questions into 'SQL' queries that run against your data, and return the result as a reactive data frame. Use it to drive reactive calculations, visualizations, downloads, and more.
Author: Garrick Aden-Buie [aut, cre] , Joe Cheng [aut, ccp], Carson Sievert [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Garrick Aden-Buie <garrick@posit.co>

This is a re-admission after prior archival of version 0.4.1 dated 2026-09-30

Diff between querychat versions 0.4.1 dated 2026-09-30 and 0.4.2 dated 2026-10-27

 DESCRIPTION                         |   20 ++--
 MD5                                 |   34 +++----
 NEWS.md                             |   12 ++
 R/PinSource.R                       |   30 ++++--
 R/QueryChat.R                       |   76 ++++++++++++----
 R/utils-duckdb.R                    |   31 ++++++
 README.md                           |    2 
 inst/doc/build.html                 |    2 
 inst/doc/context.html               |   16 +--
 inst/doc/tools.html                 |    4 
 inst/doc/visualize.html             |    8 -
 inst/htmldep/viz.css                |    3 
 inst/prompts/ggsql-syntax.md        |   27 ++++-
 man/PinSource.Rd                    |    9 +
 man/QueryChat.Rd                    |   16 ++-
 tests/testthat/test-PinSource.R     |  149 ++++++++++++++++++++++++++++++--
 tests/testthat/test-QueryChat.R     |   94 +++++++++++++++++++-
 tests/testthat/test-QueryExecutor.R |  167 ++++++++++++++++++++++++++++++++++++
 18 files changed, 607 insertions(+), 93 deletions(-)

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New package ptLasso with initial version 1.0.2
Package: ptLasso
Title: Pretraining the Lasso
Description: Implements lasso pretraining for generalized linear models for data with grouped observations; data without grouped observations, but with multinomial responses; data with multiple Gaussian responses; and data with repeated measurements over time. The method fits a lasso model to an initial dataset and then uses its support and coefficient values to guide model fitting for a related task, which can improve performance by leveraging larger datasets and preserve interpretability by identifying features which are generally shared, and which are task specific. See Craig et al. (2026) <doi:10.1093/jrsssb/qkaf050> for details. Model fitting in this package is done with cv.glmnet() from the 'glmnet' package, and syntax closely follows that of 'glmnet' (Friedman, Hastie and Tibshirani (2010) <doi:10.18637/jss.v033.i01>).
Version: 1.0.2
Maintainer: Erin Craig <ercr@umich.edu>
License: GPL-2
Encoding: UTF-8
URL: https://erincr.github.io/ptLasso/, https://doi.org/10.1093/jrsssb/qkaf050
BugReports: https://github.com/erincr/ptLasso/issues
NeedsCompilation: yes
Depends: ggplot2, glmnet, gridExtra, Matrix
Suggests: knitr, rmarkdown, rpart, survival, xgboost, sparsepca, MASS, testthat
VignetteBuilder: knitr
Language: en
Packaged: 2026-10-16 20:48:46 UTC; ercr
Author: Erin Craig [aut, cre, cph] , Rob Tibshirani [aut, cph]
Repository: CRAN
Date/Publication: 2026-10-27 17:00:02 UTC

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New package mirrorslope with initial version 0.2.1
Package: mirrorslope
Title: Mirror Slope Plots for Two-Arm Clinical Trial Data
Version: 0.2.1
Description: Creates mirrored slope plots comparing two treatment arms over a single observation interval. Both arms share a common x-axis and converge at a central endpoint, making the between-arm gap the primary visual quantity. Returns standard 'ggplot2' objects for full extensibility. The display was designed by Kati Maharry and is described in Maharry and Sullivan (2026, manuscript in preparation); it was first used in the supplementary appendix of McDonald and colleagues (2026) <doi:10.1016/S0140-6736(26)01385-1>.
License: MIT + file LICENSE
URL: https://github.com/Sullivanstatistics/mirrorslope
BugReports: https://github.com/Sullivanstatistics/mirrorslope/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.0.0)
Imports: ggplot2 (>= 3.4.0), rlang (>= 1.0.0), grDevices, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, patchwork
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-16 19:47:47 UTC; asullivan
Author: Adam Sullivan [aut, cre], Capricor Therapeutics [fnd]
Maintainer: Adam Sullivan <asullivan@capricor.com>
Repository: CRAN
Date/Publication: 2026-10-27 16:50:02 UTC

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Package BANAM updated to version 0.2.3 with previous version 0.2.2 dated 2024-12-03

Title: Bayesian Analysis of the Network Autocorrelation Model
Description: The network autocorrelation model (NAM) can be used for studying the degree of social influence regarding an outcome variable based on one or more known networks. The degree of social influence is quantified via the network autocorrelation parameters. In case of a single network, the Bayesian methods of Dittrich, Leenders, and Mulder (2017) <DOI:10.1016/j.socnet.2016.09.002> and Dittrich, Leenders, and Mulder (2019) <DOI:10.1177/0049124117729712> are implemented using a normal, flat, or independence Jeffreys prior for the network autocorrelation. In the case of multiple networks, the Bayesian methods of Dittrich, Leenders, and Mulder (2020) <DOI:10.1177/0081175020913899> are implemented using a multivariate normal prior for the network autocorrelation parameters. Flat priors are implemented for estimating the coefficients. For Bayesian testing of equality and order-constrained hypotheses, the default Bayes factor of Gu, Mulder, and Hoijtink, (2018) <DOI:10.1111/bms [...truncated...]
Author: Joris Mulder [aut, cre], Dino Dittrich [aut, ctb], Roger Leenders [aut, ctb]
Maintainer: Joris Mulder <j.mulder3@tilburguniversity.edu>

Diff between BANAM versions 0.2.2 dated 2024-12-03 and 0.2.3 dated 2026-10-27

 DESCRIPTION                 |    8 ++++----
 MD5                         |    4 ++--
 tests/testthat/test_banam.R |    2 +-
 3 files changed, 7 insertions(+), 7 deletions(-)

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New package zigimports with initial version 0.1.0
Package: zigimports
Title: Call 'Zig' Code from R
Version: 0.1.0
Description: Loads shared libraries compiled from 'Zig' ('.so' files on Linux, '.dll' files on Windows) and binds their exported functions to R functions. Arguments are passed by value using the native calling convention, so functions with mixed integer, double, logical, string and vector arguments and with return values can be called. Also compiles and runs 'Zig' code directly from R. Compiling code requires the 'Zig' compiler.
URL: https://github.com/lokop5116/zigimports
BugReports: https://github.com/lokop5116/zigimports/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
SystemRequirements: 'Zig' compiler (>= 0.11), only needed for zig_call() and to build libraries
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-10-16 09:44:38 UTC; loko
Author: Lakshya Sharma [aut, cre], Amrit Pal [aut]
Maintainer: Lakshya Sharma <lakshya6115@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-27 15:20:02 UTC

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Package taxify updated to version 0.7.0 with previous version 0.6.0 dated 2026-09-30

Title: Offline Taxonomic Name Matching Against Darwin Core Backbones
Description: Matches taxonomic names against local copies of published backbones ('Catalogue of Life', 'GBIF Backbone Taxonomy', 'ITIS', 'World Flora Online', 'WoRMS', 'NCBI Taxonomy', 'Open Tree of Life', 'Euro+Med', 'Species Fungorum', 'AlgaeBase', 'FishBase', 'SeaLifeBase', 'Reptile Database', 'LCVP', 'WCVP', 'Mammal Diversity Database', 'AviList', 'LPSN') and two vegetation classifications, and resolves each name to its accepted name. It performs the name-resolution step of 'taxize' and 'WorldFlora', run offline against these files. Names are cleaned of authors and qualifiers, matched exactly and then by edit distance within their genus, and followed from synonym to accepted name, with the backbone version recorded on every row. Published trait, status and distribution datasets are joined on the accepted name, and so is a table the user supplies. Matching runs in the 'vectra' column-store engine.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between taxify versions 0.6.0 dated 2026-09-30 and 0.7.0 dated 2026-10-27

 taxify-0.6.0/taxify/inst/doc/backbones.R                                           |only
 taxify-0.6.0/taxify/inst/doc/custom-data.R                                         |only
 taxify-0.6.0/taxify/inst/doc/enrichments.R                                         |only
 taxify-0.6.0/taxify/inst/doc/fuzzy-matching.R                                      |only
 taxify-0.6.0/taxify/inst/doc/gbif-requests.R                                       |only
 taxify-0.6.0/taxify/inst/doc/hybrids-and-aggregates.R                              |only
 taxify-0.6.0/taxify/inst/doc/inspecting-names.R                                    |only
 taxify-0.6.0/taxify/inst/doc/large-scale.R                                         |only
 taxify-0.6.0/taxify/inst/doc/migration.R                                           |only
 taxify-0.6.0/taxify/inst/doc/quickstart.R                                          |only
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 taxify-0.6.0/taxify/inst/doc/quickstart.html                                       |only
 taxify-0.6.0/taxify/inst/doc/regions.R                                             |only
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 taxify-0.6.0/taxify/vignettes/quickstart.Rmd                                       |only
 taxify-0.7.0/taxify/DESCRIPTION                                                    |   30 
 taxify-0.7.0/taxify/MD5                                                            |  446 
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More information about taxify at CRAN
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New package rapidxlsx with initial version 0.1.0
Package: rapidxlsx
Title: Fast Parallel Excel Spreadsheet Writer
Version: 0.1.0
Author: Amin Fathullah [aut, cre]
Maintainer: Amin Fathullah <amin_fathullah@yahoo.com>
Description: Serializes tabular data frames to Microsoft Excel 'OpenXML' ('xlsx') workbooks using a multi-threaded Rust core with parallel Deflate compression and zero-copy columnar memory mapping.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: Cargo (Rust toolchain)
URL: https://github.com/aminfathullah/rapidxlsx
BugReports: https://github.com/aminfathullah/rapidxlsx/issues
NeedsCompilation: yes
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2026-10-16 09:29:39 UTC; maja
Repository: CRAN
Date/Publication: 2026-10-27 15:10:02 UTC

More information about rapidxlsx at CRAN
Permanent link

New package gcloglog with initial version 1.0
Package: gcloglog
Title: Methods for Fitting Binomial Models with the Generalized Complementary Log-Log Function
Version: 1.0
Date: 2026-10-16
Maintainer: Bert van der Veen <bert_van_der_veen@hotmail.com>
Description: Functionality for fitting a flexible link function in binomial regression based on a latent negative-binomial count. The original link function was proposed by Aranda-Ordaz (1981)<doi:10.1093/biomet/68.2.357>, and motivation via a negative-binomial latent count by van der Veen and Hui (in prep).
License: GPL (>= 2)
Imports: graphics, lme4, Matrix, methods, nloptr, numDeriv, stats, utils
Encoding: UTF-8
URL: https://github.com/BertvanderVeen/gcloglog
BugReports: https://github.com/BertvanderVeen/gcloglog/issues
NeedsCompilation: no
Packaged: 2026-10-16 11:36:32 UTC; bertv
Author: Bert van der Veen [aut, cre], Francis K.C. Hui [aut]
Repository: CRAN
Date/Publication: 2026-10-27 15:50:02 UTC

More information about gcloglog at CRAN
Permanent link

New package enhancedTtest with initial version 0.1.0
Package: enhancedTtest
Title: Enhanced T-Test with Automatic Selection and APA Formatting
Version: 0.1.0
Description: Provides enhanced t-test functionality with automatic assumption checking, non-parametric fallbacks, effect size calculation, and APA-formatted tables that can be exported to Word documents. Supports one-sample, two-sample, and paired t-tests with intelligent test selection. Effect size interpretations follow Cohen (1988) <doi:10.4324/9780203771587> and APA formatting follows the Publication Manual of the American Psychological Association, 7th edition (2020) <doi:10.1037/0000165-000>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: car (>= 3.0-0), dplyr (>= 1.0.0), flextable (>= 0.7.0), htmltools (>= 0.5.0), nortest (>= 1.0-4), officer (>= 0.4.0), rlang (>= 1.0.0), stats, utils
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-15 12:47:34 UTC; DELL
Author: Martin Nyamu [aut, cre]
Maintainer: Martin Nyamu <analystnyamu79@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-27 15:20:07 UTC

More information about enhancedTtest at CRAN
Permanent link

New package DynMSR with initial version 0.1.1
Package: DynMSR
Title: Connect Systems Biology and Pharmacology Formats to Simulation Backends
Version: 0.1.1
Author: Evgeny Metelkin [aut, cre]
Maintainer: Evgeny Metelkin <evgeny.metelkin@gmail.com>
Description: Provides a convenient R interface for systems-biology and systems-pharmacology models in Heta, SBML (Systems Biology Markup Language), and DynMS (Dynamic Model Specification) formats. DynMS JSON files are loaded directly; Heta projects and SBML files are converted to DynMS by an optional compatible installation of 'heta-compiler'. Models can be validated, selected from a platform, and generated or built for simulation with 'mrgsolve' as a backend.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: jsonlite, jsonvalidate, whisker
Suggests: mrgsolve, testthat (>= 3.0.0), withr
URL: https://github.com/hetalang/DynMSR
BugReports: https://github.com/hetalang/DynMSR/issues
NeedsCompilation: no
Packaged: 2026-10-16 10:28:56 UTC; evgen
Repository: CRAN
Date/Publication: 2026-10-27 15:40:02 UTC

More information about DynMSR at CRAN
Permanent link

Package cancerradarr updated to version 4.1.0 with previous version 3.0.0 dated 2026-02-16

Title: Cancer RADAR Project Tool
Description: Cancer RADAR is a project which aim is to develop an infrastructure that allows quantifying the risk of cancer by migration background across Europe. This package contains a set of functions cancer registries partners should use to reshape 5 year-age group cancer incidence data into a set of summary statistics (see Boyle & Parkin (1991, ISBN:978-92-832-1195-2)) in lines with Cancer RADAR data protections rules.
Author: Catharina Alberts [aut, rth, pdr], Damien Georges [aut, cre] , Stefano Rosso [aut], Iacopo Baussano [aut]
Maintainer: Damien Georges <georgesd@iarc.who.int>

Diff between cancerradarr versions 3.0.0 dated 2026-02-16 and 4.1.0 dated 2026-10-27

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New package windscape with initial version 2.0.0
Package: windscape
Title: Model Landscape Connectivity by Wind
Version: 2.0.0
Description: Model landscape connectivity by wind for ecological and evolutionary analyses. Summarize long time series of gridded wind data, downloaded from reanalyses or supplied by the user, into wind roses describing directional conductance between neighboring grid cells. Model dispersal through them with least-cost path and random walk algorithms, to map windsheds around sites and estimate pairwise connectivity among them, test hypotheses relating wind to ecological data, and visualize wind and connectivity with 'ggplot2'. The approach builds on Kling and Ackerly (2020) <doi:10.1038/s41558-020-0848-3> and Kling and Ackerly (2021) <doi:10.1073/pnas.2017317118>.
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
LinkingTo: Rcpp
Imports: gdistance, Rcpp, raster, geosphere, ggplot2, igraph, magrittr, Matrix, methods, stats, tools, utils
URL: https://matthewkling.github.io/windscape/, https://github.com/matthewkling/windscape
BugReports: https://github.com/matthewkling/windscape/issues
Suggests: knitr, maps, ncdf4, rmarkdown, scales, sf, testthat (>= 3.0.0), vegan, tidyverse, withr
VignetteBuilder: knitr
Depends: R (>= 4.0.0), terra (>= 1.8-42)
License: MIT + file LICENSE
NeedsCompilation: yes
Packaged: 2026-10-15 16:54:06 UTC; matthewkling
Author: Matthew Kling [aut, cre, cph]
Maintainer: Matthew Kling <mattkling@berkeley.edu>
Repository: CRAN
Date/Publication: 2026-10-27 15:00:02 UTC

More information about windscape at CRAN
Permanent link

New package sppt with initial version 1.0.0
Package: sppt
Title: Spatial Point Pattern Test for Areal Data
Version: 1.0.0
Description: Implements the area-based nonparametric spatial point pattern test of Andresen (2009) <doi:10.1016/j.apgeog.2008.12.004> for comparing two spatial distributions of events aggregated to areal units, with the applications and extensions reviewed in Andresen (2016) <doi:10.1177/2059799116630659>. Unit-level inference uses bounded Monte Carlo bootstrap p-values, with marginal confidence interval overlap retained as an option. Global similarity is summarised by the robust S index, accompanied by a test of whether two patterns are more different than two realisations of a single process, and a test of the spatial arrangement of the differences. A longitudinal extension compares each period of a time series against a base period and classifies unit-level trajectories. Publication-ready maps can be redrawn with user-chosen layouts.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1.0)
Imports: classInt, ggplot2 (>= 3.5.0), ggspatial, graphics, grDevices, Matrix, rlang, scales, sf, spdep, stats, tools, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-16 07:21:59 UTC; andre
Author: Martin A. Andresen [aut, cre, cph]
Maintainer: Martin A. Andresen <andresen@sfu.ca>
Repository: CRAN
Date/Publication: 2026-10-27 15:00:11 UTC

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Package pintervals updated to version 1.3.3 with previous version 1.1.1 dated 2026-03-03

Title: Model Agnostic Prediction Intervals
Description: Provides tools for estimating model-agnostic prediction intervals using conformal prediction, bootstrapping, and parametric prediction intervals. The package is designed for ease of use, offering intuitive functions for both binned and full conformal prediction methods, as well as parametric interval estimation with diagnostic checks. Currently only working for continuous predictions. For details on the conformal and bin-conditional conformal prediction methods, see Randahl, Williams, and Hegre (2026) <DOI:10.1017/pan.2025.10010>.
Author: David Randahl [aut, cre], Jonathan P. Williams [ctb], Anders Hjort [ctb]
Maintainer: David Randahl <david.randahl@fhs.se>

Diff between pintervals versions 1.1.1 dated 2026-03-03 and 1.3.3 dated 2026-10-27

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Package LorMe updated to version 2.0.3 with previous version 2.0.2 dated 2026-01-12

Title: Lightweight One-Line Resolving Microbial Ecology Program
Description: Provides a robust collection of functions tailored for microbial ecology analysis, encompassing both data analysis and visualization. It introduces an encapsulation feature that streamlines the process into a summary object. With the initial configuration of this summary object, users can execute a wide range of analyses with a single line of code, requiring only two essential parameters for setup. The package delivers comprehensive outputs including analysis objects, statistical outcomes, and visualization-ready data, enhancing the efficiency of research workflows. Designed with user-friendliness in mind, it caters to both novices and seasoned researchers, offering an intuitive interface coupled with adaptable customization options to meet diverse analytical needs.
Author: Ningqi Wang [aut, cre, cph], Yaozhong Zhang [aut], Gaofei Jiang [aut]
Maintainer: Ningqi Wang <2434066068@qq.com>

Diff between LorMe versions 2.0.2 dated 2026-01-12 and 2.0.3 dated 2026-10-27

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New package FrailtyPackPlus with initial version 0.1.0
Package: FrailtyPackPlus
Title: Shared, Correlated, Additive, and Zero-Inflated Frailty Models
Version: 0.1.0
Description: Fits and compares shared, correlated, additive, zero-inflated promotion cure-rate, and k-out-of-M one-shot device frailty survival models under Bayesian Markov chain Monte Carlo (MCMC) and Maximum Likelihood Estimation (MLE) frameworks. Supports ten baseline hazard distributions (Weibull, Exponential, Generalized Exponential, Exponential Power, Linear Failure Rate, Generalized Log-Logistic, Generalized Weibull, Generalized Rayleigh, Weighted Exponential, Extended Weibull) and eight frailty distributions (Gamma, Inverse Gaussian, Positive Stable, Compound Poisson, Compound Negative Binomial, Generalized Lindley, Weighted Lindley, Mixture of Inverse Gaussians). Implements reversed hazard rate (RHR) models for bivariate left-censored survival data, additive shared frailty models under random right censoring, and one-shot device reliability analysis. Provides goodness-of-fit testing, information criteria (AIC, BIC, AICc, HQIC, DIC, EAIC, EBIC, LPML), convergence diagnostics (Geweke, Gelman [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
ByteCompile: true
Depends: R (>= 4.0.0)
Imports: graphics, grDevices, MASS, methods, numDeriv, stats, survival, utils
Suggests: testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-15 22:59:12 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-27 14:30:02 UTC

More information about FrailtyPackPlus at CRAN
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New package fastphylosig with initial version 0.3.1
Package: fastphylosig
Title: Fast Phylogenetic Signal Statistics
Version: 0.3.1
Description: Provides one-command and method-specific workflows for phylogenetic signal in continuous, binary, and categorical traits. Compiled tree-pruning algorithms implement Blomberg's K and Pagel's lambda without constructing a dense phylogenetic covariance matrix in production. Fritz and Purvis D retains separate random and Brownian null models, while categorical Delta combines discrete ancestral-state likelihoods with MCMC and permutation diagnostics. The package also provides reusable prepared trees, explicit tree/data matching, trait-wise missing-value handling, conservative tree diagnostics, bounded simulation memory, and structured timing and Monte Carlo uncertainty metadata. Methods follow Blomberg, Garland and Ives (2003) <doi:10.1111/j.0014-3820.2003.tb00285.x> for K, Pagel (1999) <doi:10.1038/44766> for lambda, Fritz and Purvis (2010) <doi:10.1111/j.1523-1739.2010.01455.x> for D, and Borges et al. (2019) <doi:10.1093/bioinformatics/bty800> for categorical Delt [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ape, parallel, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: caper, mvtnorm, phytools, testthat
URL: https://github.com/yinwen-ecology/fastphylosig, https://yinwen-ecology.github.io/fastphylosig/
BugReports: https://github.com/yinwen-ecology/fastphylosig/issues
SystemRequirements: C++17, OpenMP (optional)
NeedsCompilation: yes
Packaged: 2026-10-16 00:33:42 UTC; wenyi
Author: Yin Wen [aut, cre]
Maintainer: Yin Wen <wenyinsci@126.com>
Repository: CRAN
Date/Publication: 2026-10-27 14:40:02 UTC

More information about fastphylosig at CRAN
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Package Bergm updated to version 6.0.0 with previous version 5.0.7 dated 2023-12-06

Title: Bayesian Exponential Random Graph Models
Description: Bayesian analysis for exponential random graph models using advanced computational algorithms: the approximate exchange algorithm with adaptive direction sampling (optionally adaptive, delayed-acceptance and parallel), calibrated pseudo-posteriors, Bayesian data augmentation for missing network data, and Bayesian goodness-of-fit diagnostics. More information can be found at: <https://acaimo.github.io/Bergm/>.
Author: Alberto Caimo [aut, cre], Lampros Bouranis [aut], Robert Krause [aut], Isabella Gollini [aut], Nial Friel [ctb]
Maintainer: Alberto Caimo <alberto.caimo1@ucd.ie>

Diff between Bergm versions 5.0.7 dated 2023-12-06 and 6.0.0 dated 2026-10-27

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Package almanac readmission to version 1.0.1 with previous version 1.0.0 dated 2023-04-13

Title: Tools for Working with Recurrence Rules
Description: Provides tools for defining recurrence rules and recurrence sets. Recurrence rules are a programmatic way to define a recurring event, like the first Monday of December. Multiple recurrence rules can be combined into larger recurrence sets. A full holiday and calendar interface is also provided that can generate holidays within a particular year, can detect if a date is a holiday, can respect holiday observance rules, and allows for custom holidays.
Author: Davis Vaughan [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

This is a re-admission after prior archival of version 1.0.0 dated 2023-04-13

Diff between almanac versions 1.0.0 dated 2023-04-13 and 1.0.1 dated 2026-10-27

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Package tidytransit updated to version 1.8.1 with previous version 1.8.0 dated 2026-01-26

Title: Read, Validate, Analyze, and Map GTFS Feeds
Description: Read General Transit Feed Specification (GTFS) zipfiles into a list of R dataframes. Perform validation of the data structure against the specification. Analyze the headways and frequencies at routes and stops. Create maps and perform spatial analysis on the routes and stops. Please see the GTFS documentation here for more detail: <https://gtfs.org/>.
Author: Flavio Poletti [aut, cre], Daniel Herszenhut [aut] , Mark Padgham [aut], Tom Buckley [aut], Danton Noriega-Goodwin [aut], Angela Li [ctb], Elaine McVey [ctb], Charles Hans Thompson [ctb], Michael Sumner [ctb], Patrick Hausmann [ctb], Bob Rudis [ctb], [...truncated...]
Maintainer: Flavio Poletti <flavio.poletti@hotmail.ch>

Diff between tidytransit versions 1.8.0 dated 2026-01-26 and 1.8.1 dated 2026-10-27

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More information about tidytransit at CRAN
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Package releaser updated to version 1.3.0 with previous version 1.2.1 dated 2026-07-30

Title: Help with Preparing a New Version of an R Package
Description: Helps to prepare a release. Before releasing an R package it is important to update the DESCRIPTION file and the changelog. This package prepares these files and also updates the versions according to the branches. It relies heavily on the 'desc' packages.
Author: Tanguy Barthelemy [aut, cre, art, cph]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

Diff between releaser versions 1.2.1 dated 2026-07-30 and 1.3.0 dated 2026-10-27

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 26 files changed, 717 insertions(+), 195 deletions(-)

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Package medfate updated to version 5.2.0 with previous version 5.1.0 dated 2026-09-03

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

Diff between medfate versions 5.1.0 dated 2026-09-03 and 5.2.0 dated 2026-10-27

 DESCRIPTION                                              |   10 
 MD5                                                      |  134 +++--
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 70 files changed, 1706 insertions(+), 624 deletions(-)

More information about medfate at CRAN
Permanent link


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