Fri, 21 Aug 2026

Package tipse updated to version 2.1 with previous version 2.0 dated 2026-05-12

Title: Tipping Point Analysis for Survival Endpoints
Description: Implements tipping point sensitivity analysis for time-to-event endpoints under different missing data scenarios, as described in Oodally et al. (2025) <doi:10.48550/arXiv.2506.19988>. Supports both model-based and model-free imputation, multiple imputation workflows, plausibility assessment and visualizations. Enables robust assessment for regulatory and exploratory analyses.
Author: Ajmal Oodally [cre, aut] , Craig Wang [aut] , Zheng Li [ctb]
Maintainer: Ajmal Oodally <ajmaloodally@hotmail.com>

Diff between tipse versions 2.0 dated 2026-05-12 and 2.1 dated 2026-08-21

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More information about tipse at CRAN
Permanent link

Package targeted updated to version 0.9.0 with previous version 0.8 dated 2026-07-15

Title: Targeted Inference
Description: Various methods for targeted and semiparametric inference including augmented inverse probability weighted (AIPW) estimators for missing data and causal inference (Bang and Robins (2005) <doi:10.1111/j.1541-0420.2005.00377.x>), one-step imputation (Nordland et al (2026)) <doi:10.48550/arXiv.2606.07174>), variable importance and conditional average treatment effects (CATE) (van der Laan (2006) <doi:10.2202/1557-4679.1008>), estimators for risk differences and relative risks (Richardson et al. (2017) <doi:10.1080/01621459.2016.1192546>), assumption lean inference for generalized linear model parameters (Vansteelandt et al. (2022) <doi:10.1111/rssb.12504>).
Author: Klaus K. Holst [aut, cre], Benedikt Sommer [aut], Andreas Nordland [aut], Christian B. Pipper [ctb]
Maintainer: Klaus K. Holst <klaus@holst.it>

Diff between targeted versions 0.8 dated 2026-07-15 and 0.9.0 dated 2026-08-21

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More information about targeted at CRAN
Permanent link

Package sonicscrewdriver readmission to version 0.0.7.1 with previous version 0.0.7 dated 2024-05-11

Title: Bioacoustic Analysis and Publication Tools
Description: Provides tools for manipulating sound files for bioacoustic analysis, and preparing analyses these for publication. The package validates that values are physically possible wherever feasible.
Author: Ed Baker [aut, cre] , Quentin Geissman [ctb]
Maintainer: Ed Baker <ed@ebaker.me.uk>

This is a re-admission after prior archival of version 0.0.7 dated 2024-05-11

Diff between sonicscrewdriver versions 0.0.7 dated 2024-05-11 and 0.0.7.1 dated 2026-08-21

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More information about sonicscrewdriver at CRAN
Permanent link

Package mlr3benchmark updated to version 0.1.8 with previous version 0.1.7 dated 2024-12-02

Title: Analysis and Visualisation of Benchmark Experiments
Description: Implements methods for post-hoc analysis and visualisation of benchmark experiments, for 'mlr3' and beyond.
Author: Sonabend Raphael [aut] , Florian Pfisterer [aut] , Michel Lang [ctb] , Bernd Bischl [ctb] , Sebastian Fischer [cre, ctb]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>

Diff between mlr3benchmark versions 0.1.7 dated 2024-12-02 and 0.1.8 dated 2026-08-21

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More information about mlr3benchmark at CRAN
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Package mdendro updated to version 2.3.0 with previous version 2.2.3 dated 2025-09-04

Title: Extended Agglomerative Hierarchical Clustering
Description: A comprehensive collection of linkage methods for agglomerative hierarchical clustering on a matrix of proximity data (distances or similarities), returning a multifurcated dendrogram or multidendrogram. Multidendrograms can group more than two clusters when ties in proximity data occur, and therefore they do not depend on the order of the input data. Descriptive measures to analyze the resulting dendrogram are additionally provided. <doi:10.18637/jss.v114.i02>.
Author: Alberto Fernandez [aut, cre] , Sergio Gomez [aut]
Maintainer: Alberto Fernandez <alberto.fernandez@urv.cat>

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Package ksformat updated to version 0.8.4 with previous version 0.8.2 dated 2026-07-06

Title: 'SAS'-Style 'PROC FORMAT' for R
Description: Provides 'SAS' 'PROC FORMAT'-like functionality for creating and applying value formats in R. Supports discrete and range-based mapping of values to labels, reverse formatting (invalue), date/time/datetime formatting with built-in 'SAS' format names, multi-label formats, expression labels evaluated at apply-time, case-insensitive matching, import/export of format definitions, and proper handling of missing values (NA, NULL, NaN).
Author: Vladimir Larchenko [aut, cre], Igor Aleschenkov [aut]
Maintainer: Vladimir Larchenko <vladimir.larchenko@keystatsolutions.com>

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Package DLCA updated to version 1.1 with previous version 1.0 dated 2026-08-07

Title: Divisive Latent Class Analysis
Description: Provides algorithms for estimating divisive and standard latent class models. The divisive latent class method follows van der Palm, van der Ark and Vermunt (2016) <doi:10.1007/s00357-016-9195-5>. Both algorithms use expectation-maximization and Newton-Raphson optimization and are implemented in 'C++' for speed through 'Rcpp'.
Author: Daniel W. van der Palm [aut, cre], L. Andries van der Ark [ctb]
Maintainer: Daniel W. van der Palm <danielvdpalm@gmail.com>

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Package animejs updated to version 1.1.0 with previous version 1.0.0 dated 2026-07-20

Title: R Bindings to the 'Anime.js' Animation Library
Description: Provides low-level R bindings to the 'Anime.js' library (<https://animejs.com>), enabling the creation of browser-native SVG and HTML animations via the 'htmlwidgets' framework.
Author: Long Nguyen [aut, cre]
Maintainer: Long Nguyen <nguyen@dezim-institut.de>

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Package worldbank updated to version 0.10.0 with previous version 0.9.1 dated 2026-06-29

Title: Client for the 'World Bank' APIs
Description: Download and search data from the 'World Bank' APIs, including the 'Indicators' API, the 'Poverty and Inequality Platform (PIP)' API, the 'Finances One' API, and the 'Projects' API. See <https://datahelpdesk.worldbank.org/knowledgebase/articles/889386-developer-information-overview> for further details.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package vitae updated to version 0.7.0 with previous version 0.6.0 dated 2024-06-12

Title: Curriculum Vitae for R Markdown
Description: Provides templates and functions to simplify the production and maintenance of curriculum vitae.
Author: Mitchell O'Hara-Wild [aut, cre] , Rob Hyndman [aut] , Yihui Xie [ctb] , Albert Krewinkel [cph] , JooYoung Seo [ctb] , Isabelle Greco [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package ulrb updated to version 0.1.9 with previous version 0.1.8 dated 2025-07-07

Title: Unsupervised Learning Based Definition of Microbial Rare Biosphere
Description: A tool to define the rare biosphere. 'ulrb' solves the problem of the definition of rarity by replacing arbitrary thresholds with an unsupervised machine learning algorithm (partitioning around medoids, or k-medoids). This algorithm works for any type of microbiome data, provided there is an abundance table. This method also works for non-microbiome data.
Author: Francisco Pascoal [aut, cre] , Paula Branco [aut] , Luis Torgo [aut] , Rodrigo Costa [aut] , Catarina Magalhaes [aut]
Maintainer: Francisco Pascoal <fpascoal1996@gmail.com>

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Package tinysnapshot updated to version 0.3.0 with previous version 0.2.0 dated 2025-07-18

Title: Snapshots for Unit Tests using the 'tinytest' Framework
Description: Snapshots for unit tests using the 'tinytest' framework for R. Includes expectations to test base R and 'ggplot2' plots as well as console output from print().
Author: Vincent Arel-Bundock [aut, cre]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package tinycodet updated to version 0.7.1 with previous version 0.7.0 dated 2026-06-08

Title: Functions to Help in your Coding Etiquette
Description: Adds some functions to help in your coding etiquette. 'tinycodet' primarily focuses on 4 aspects. 1) Safer decimal (in)equality testing, standard-evaluated alternatives to with() and aes(), and other functions for safer coding. 2) A new package import system, that attempts to combine the benefits of using a package without attaching it, with the benefits of attaching a package. 3) Extending the string manipulation capabilities of the 'stringi' R package. 4) Reducing repetitive code. Besides linking to 'Rcpp', 'tinycodet' has only one other dependency, namely 'stringi'.
Author: Tony Wilkes [aut, cre, cph]
Maintainer: Tony Wilkes <tonywilkes.nl@gmail.com>

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Package summata updated to version 0.12.0 with previous version 0.11.5 dated 2026-05-07

Title: Publication-Ready Summary Tables and Forest Plots
Description: A comprehensive framework for descriptive statistics and regression analysis that produces publication-ready tables and forest plots. Provides a unified interface from descriptive statistics through multivariable modeling, with support for linear models, generalized linear models, Cox proportional hazards, and mixed-effects models. Also includes univariable screening, multivariate regression, model comparison, and export to multiple formats including PDF, DOCX, PPTX, 'LaTeX', HTML, and RTF. Built on 'data.table' for computational efficiency.
Author: Paul Hsin-ti McClelland [aut, cre, cph]
Maintainer: Paul Hsin-ti McClelland <PaulHMcClelland@protonmail.com>

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Package scanr updated to version 0.1.1 with previous version 0.1.0 dated 2026-08-20

Title: Sequential Change-Point Detection via Nonparametric Inference
Description: Detects change points in long univariate time series using the SCAN framework. The implementation uses a native Rust backend exposed to R via 'extendr'.
Author: Ashoka Prabashwara [aut, cre], Patricia Menendez [aut], Liam Hodgkinson [aut], Stuart Lee [aut]
Maintainer: Ashoka Prabashwara <smashoka123@gmail.com>

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Package matchednull updated to version 0.2.1 with previous version 0.1.0 dated 2026-07-21

Title: Matched-Null Tests for Cluster-Count Claims
Description: Builds matched nulls for cluster-count claims: synthetic twins of a dataset that preserve every marginal distribution and the full correlation matrix while containing no cluster structure by construction. A reported number of clusters or "types" can then be tested against what the data's own margins and covariance already produce, using any clustering pipeline. A t-copula option adds tail dependence to the null, so that an apparent excess of clusters can be checked against a heavier-tailed alternative before it is read as evidence of types. Implements the matched-null procedure of Meng (2026) "Types Without Taxa" <doi:10.17605/OSF.IO/2EKCG>.
Author: Miura Meng [aut, cre]
Maintainer: Miura Meng <haomeng797@gmail.com>

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Package marp readmission to version 0.1.1 with previous version 0.1.0 dated 2022-08-11

Title: Model-Averaged Renewal Process
Description: To implement a model-averaging approach with different renewal models, with a primary focus on forecasting large earthquakes. Based on six renewal models (i.e., Poisson, Gamma, Log-Logistics, Weibull, Log-Normal and BPT), model-averaged point estimates are calculated using AIC weights. Additionally, both percentile and studentized bootstrapped model-averaged confidence intervals are constructed. In comparison, point and interval estimation from the individual or "best" model (determined via model selection) can be retrieved.
Author: Jie Kang [aut], Chris Scott [aut], Vanessa Huang [aut], Veronica Tsou [aut, cre], Albert Savary [ctb]
Maintainer: Veronica Tsou <wantungtsou@gmail.com>

This is a re-admission after prior archival of version 0.1.0 dated 2022-08-11

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Package jellyfisher updated to version 1.1.2 with previous version 1.1.1 dated 2025-11-26

Title: Visualize Spatiotemporal Tumor Evolution with Jellyfish Plots
Description: Generates interactive Jellyfish plots to visualize spatiotemporal tumor evolution by integrating sample and phylogenetic trees into a unified plot. This approach provides an intuitive way to analyze tumor heterogeneity and evolution over time and across anatomical locations. The Jellyfish plot visualization design was first introduced by Lahtinen, Lavikka, et al. (2023, <doi:10.1016/j.ccell.2023.04.017>). This package also supports visualizing ClonEvol results, a tool developed by Dang, et al. (2017, <doi:10.1093/annonc/mdx517>), for analyzing clonal evolution from multi-sample sequencing data. The 'clonevol' package is not available on CRAN but can be installed from its GitHub repository (<https://github.com/hdng/clonevol>).
Author: Kari Lavikka [cph, aut, cre]
Maintainer: Kari Lavikka <kari@karilavikka.fi>

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Package inDAGO updated to version 1.0.4 with previous version 1.0.3 dated 2025-10-21

Title: A GUI for Dual and Bulk RNA-Sequencing Analysis
Description: A 'shiny' app that supports both dual and bulk RNA-seq, with the dual RNA-seq functionality offering the flexibility to perform either a sequential approach (where reads are mapped separately to each genome) or a combined approach (where reads are aligned to a single merged genome). The user-friendly interface automates the analysis process, providing step-by-step guidance, making it easy for users to navigate between different analysis steps, and download intermediate results and publication-ready plots.
Author: Carmine Fruggiero [aut, cre], Gaetano Aufiero [aut]
Maintainer: Carmine Fruggiero <fruggierocarmine3@gmail.com>

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Package implicitMeasures readmission to version 1.0.0 with previous version 0.3.1 dated 2025-08-22

Title: Compute Scores for Different Implicit Measures
Description: A tool for computing the scores for the Implicit Association Test (IAT; Greenwald, McGhee & Schwartz (1998) <doi:10.1037/0022-3514.74.6.1464>) and the Single Category-IAT (SC-IAT: Karpinski & Steinman (2006) <doi:10.1037/0022-3514.91.1.16>). Functions for preparing the data (both for the IAT and the SC-IAT), plotting the results, and obtaining a table with the scores of implicit measures descriptive statistics are provided.
Author: Ottavia M. Epifania [aut, cre], Pasquale Anselmi [ctb], Egidio Robusto [ctb]
Maintainer: Ottavia M. Epifania <otta.epifania@gmail.com>

This is a re-admission after prior archival of version 0.3.1 dated 2025-08-22

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Package ggRandomForests updated to version 3.5.2 with previous version 3.5.0 dated 2026-08-04

Title: Visually Exploring Random Forests
Description: Graphic elements for exploring Random Forests using the 'randomForest' or 'randomForestSRC' package for survival, regression and classification forests and 'ggplot2' package plotting. Implements visualizations of the methods described in Breiman (2001) <doi:10.1023/A:1010933404324> and Ishwaran, Kogalur, Blackstone, and Lauer (2008) <doi:10.1214/08-AOAS169>.
Author: John Ehrlinger [aut, cre]
Maintainer: John Ehrlinger <john.ehrlinger@gmail.com>

Diff between ggRandomForests versions 3.5.0 dated 2026-08-04 and 3.5.2 dated 2026-08-21

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Package fable.bayesRecon updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-28

Title: Bayesian Reconciliation in the 'fable' Framework
Description: Implements the 'bayesRecon' probabilistic reconciliation methods within the 'fable' framework for hierarchical time series forecasting. Bayesian reconciliation (bayesRecon) methods are accessed via the 'reconcile' verb, following 'fable' conventions. For methodological background, see Corani et al. (2021) <doi:10.1007/978-3-030-67664-3_13>, Zambon et al. (2024a) <doi:10.1007/s11222-023-10343-y>, Zambon et al. (2024b) <https://proceedings.mlr.press/v244/zambon24a.html>, and Carrara et al. (2026) <doi:10.1016/j.ijforecast.2026.07.003>.
Author: Dario Azzimonti [aut, cre, cph] , Stefano Damato [aut] , Lorenzo Zambon [aut] , Chiara Carrara [aut] , Giorgio Corani [aut]
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>

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Package dyadicMarkov updated to version 0.1.2 with previous version 0.1.1 dated 2026-06-21

Title: Pattern Estimation and Identification for Dyadic Sequences Using Transition Matrices in R
Description: Provides methods for analyzing categorical dyadic sequences using transition matrices within the Longitudinal Actor-Partner Interdependence Model and Markov-chain framework. The package supports empirical transition counts, maximum likelihood estimation of transition probabilities, and identification of univariate and bivariate patterns of interaction in dyadic sequences.
Author: Mattia Boellenruecher [aut, cre, cph] , Megane Bollenruecher [aut] , Jean-Philippe Antonietti [aut]
Maintainer: Mattia Boellenruecher <mboellenruec@student.ethz.ch>

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Package cpge updated to version 1.0.2 with previous version 1.0.1 dated 2026-08-08

Title: Interactive Clustered Graph for French Scientific Preparatory Classes
Description: To help French students from scientific preparatory classes for the Grandes Ecoles (CPGE) in their choice of field of study and career options, this package provides an interactive tool and data visualization of a graph clustered by different competitive exams and sectors of activity for French selective engineering schools and selective higher education institutions like Ecoles Normales Superieures (ENS) or specialized university programs (magisteres). Besides, there are two drop-down menus to select on the graph many fields or more than 200 engineering schools or ENS or magisteres. It gives the opportunity to expand, collapse clusters of selective exams interactively too. For more information, see the demonstration video: <https://valerierobert-maths.re/index.php/maths-en-cpge/>. The data was collected via the official French website: <https://www.scei-concours.fr/statistiques.html>.
Author: Valerie Robert [aut, cre]
Maintainer: Valerie Robert <valerie.robert.math@gmail.com>

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Package bsvarSIGNs updated to version 3.0 with previous version 2.0 dated 2025-01-29

Title: Bayesian SVARs with Sign, Zero, and Narrative Restrictions
Description: Implements state-of-the-art algorithms for the Bayesian analysis of Structural Vector Autoregressions (SVARs) identified by sign, zero, and narrative restrictions. The core model is based on a flexible Vector Autoregression with estimated hyper-parameters of the Minnesota prior and the dummy observation priors as in Giannone, Lenza, Primiceri (2015) <doi:10.1162/REST_a_00483> extended by the COVID-specific heteroskedasticity proposed by Lenza, Primiceri (2022) <doi:10.1002/jae.2895>. The sign restrictions are implemented employing the methods proposed by Rubio-Ramírez, Waggoner & Zha (2010) <doi:10.1111/j.1467-937X.2009.00578.x>, while identification through sign and zero restrictions follows the approach developed by Arias, Rubio-Ramírez, & Waggoner (2018) <doi:10.3982/ECTA14468>. Furthermore, our toolset provides algorithms for identification via sign and narrative restrictions, in line with the methods introduced by Antolín-Díaz and Rubio-Ramírez (201 [...truncated...]
Author: Xiaolei Wang [aut, cre] , Tomasz Wozniak [aut] , Fei Shang [ctb]
Maintainer: Xiaolei Wang <adamwang15@gmail.com>

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Package broadcast updated to version 0.1.9.6 with previous version 0.1.9.5 dated 2026-08-20

Title: Broadcasted Array Operations Like 'NumPy'
Description: Implements efficient 'NumPy'-like broadcasted operations for atomic and recursive arrays. In the context of operations involving 2 (or more) arrays, “broadcasting” (AKA singleton expansion) refers to efficiently recycling array dimensions, without making copies. Besides linking to 'Rcpp', 'broadcast' does not use any external libraries in any way; 'broadcast' was essentially made from scratch and can be installed out-of-the-box. The implementations available in 'broadcast' include, but are not limited to, the following. 1) Broadcasted element-wise operations on any 2 arrays; they support a large set of relational, arithmetic, Boolean, string, and bit-wise operations. 2) A faster, more memory efficient, and broadcasted abind-like function, for binding arrays along an arbitrary dimension. 3) Broadcasted ifelse-like and apply-like functions. 4) Casting functions, that cast subset-groups of an array to a new dimension, cast nested lists to dimensional lists, and vice-versa. 5) A few linear [...truncated...]
Author: Tony Wilkes [aut, cre, cph]
Maintainer: Tony Wilkes <tonywilkes.nl@gmail.com>

Diff between broadcast versions 0.1.9.5 dated 2026-08-20 and 0.1.9.6 dated 2026-08-21

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Package NonlinearTSA (with last version 0.5.0) was removed from CRAN

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2023-01-11 0.1.7.6
2022-02-06 0.1.7.4
2021-09-05 0.1.7.3
2021-02-05 0.1.7.2
2020-07-20 0.1.6

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Package FAfA (with last version 1.2) was removed from CRAN

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2026-04-29 1.0
2025-12-15 0.5
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Package GVARX (with last version 1.4) was removed from CRAN

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2020-02-17 1.3
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Package tsDyn (with last version 11.0.5.2) was removed from CRAN

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2024-10-31 11.0.5.2
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2020-02-04 10-1.2
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2019-05-26 0.9-48.1
2018-06-03 0.9-48
2018-01-22 0.9-46
2016-05-22 0.9-44
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2014-08-26 0.9-41
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Package EFAtools (with last version 1.0.0) was removed from CRAN

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

2026-07-23 1.0.0
2026-07-07 0.8.0
2026-05-08 0.7.1
2026-04-30 0.7.0
2025-07-30 0.6.1
2025-06-19 0.6.0
2025-05-23 0.5.0
2025-03-21 0.4.6
2024-12-22 0.4.5
2023-01-06 0.4.4
2022-10-02 0.4.3
2022-09-27 0.4.2
2022-04-24 0.4.1
2022-03-21 0.4.0
2021-03-27 0.3.1
2020-11-04 0.3.0
2020-09-17 0.2.0
2020-07-13 0.1.1
2020-07-07 0.1.0

Permanent link
Package combcoint (with last version 0.2.0) was removed from CRAN

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

2025-06-13 0.2.0

Permanent link
Package Statamarkdown updated to version 1.0.0 with previous version 0.9.7 dated 2026-07-19

Title: 'Stata' Markdown
Description: Settings and functions to extend the 'knitr' 'Stata' engine.
Author: Doug Hemken [aut] ), Tom Palmer [aut, cre] , Philipp Lepert [ctb]
Maintainer: Tom Palmer <remlapmot@hotmail.com>

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Package spOccupancy updated to version 0.8.1 with previous version 0.8.0 dated 2024-12-14

Title: Single-Species, Multi-Species, and Integrated Spatial Occupancy Models
Description: Fits single-species, multi-species, and integrated non-spatial and spatial occupancy models using Markov Chain Monte Carlo (MCMC). Models are fit using Polya-Gamma data augmentation detailed in Polson, Scott, and Windle (2013) <doi:10.1080/01621459.2013.829001>. Spatial models are fit using either Gaussian processes or Nearest Neighbor Gaussian Processes (NNGP) for large spatial datasets. Details on NNGP models are given in Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091> and Finley, Datta, and Banerjee (2022) <doi:10.18637/jss.v103.i05>. Provides functionality for data integration of multiple single-species occupancy data sets using a joint likelihood framework. Details on data integration are given in Miller, Pacifici, Sanderlin, and Reich (2019) <doi:10.1111/2041-210X.13110>. Details on single-species and multi-species models are found in MacKenzie, Nichols, Lachman, Droege, Royle, and Langtimm (2002) <doi:10.1890/0012-9658(2 [...truncated...]
Author: Jeffrey Doser [aut, cre], Andrew Finley [aut], Marc Kery [ctb]
Maintainer: Jeffrey Doser <jwdoser@ncsu.edu>

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Package sov updated to version 2.0.0 with previous version 1.0.3 dated 2026-04-04

Title: Calculate vs-SOVs and SOVs for Assemblies with D-Dimensional Voting
Description: Calculates vote-specific and traditional Shapley-Owen power indices (vs-SOVs and SOVs) for spatial voting games in one to four dimensions. Evaluates voter influence through an a posteriori analysis of relative preferences. Supports weighted voting and various voting thresholds. Compatible with ideal point estimates from NOMINATE, Optimal Classification, and 'MCMCpack'. The method builds on Bibina and Dougherty (2025) <doi:10.2139/ssrn.6324519>.
Author: Keith Dougherty [aut], Emma Bibina [aut, cre]
Maintainer: Emma Bibina <emma.bibina@uga.edu>

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Package smaa updated to version 0.3-4 with previous version 0.3-3 dated 2024-09-06

Title: Stochastic Multi-Criteria Acceptability Analysis
Description: Implementation of the Stochastic Multi-Criteria Acceptability Analysis (SMAA) family of Multiple Criteria Decision Analysis (MCDA) methods. Tervonen, T. and Figueira, J. R. (2008) <doi:10.1002/mcda.407>.
Author: Gert van Valkenhoef [aut, cre, cph]
Maintainer: Gert van Valkenhoef <gert@gertvv.nl>

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Package SimplexRegression updated to version 0.1.6 with previous version 0.1.5 dated 2026-07-19

Title: Simplex Regression Models with Parametric or Fixed Mean Link Functions
Description: Fits and analyzes simplex regression models with either fixed or parametric mean link functions. Implements the simplex probability density function, cumulative distribution function, quantile function, random number generation, and variance evaluation. Offers several fixed and parametric link functions for the mean submodel, tools for residual analysis and diagnostic plotting, hypothesis testing procedures, and influence measures such as Cook's distance and leverage (hat values). Includes the Scout Score (SS) criterion for model selection, enabling comprehensive inference and diagnostic analysis within the simplex regression framework. For more details see Barndorff-Nielsen and Jorgensen (1991) <doi:10.1016/0047-259X(91)90008-P> and Justino and Cribari-Neto (2026) <doi:10.1016/j.apm.2025.116713>.
Author: Maria Eduarda da Cruz Justino [aut, cre] , Francisco Cribari-Neto [ctb, ths]
Maintainer: Maria Eduarda da Cruz Justino <eueduardacruz@gmail.com>

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

Title: Liquid Glass Design Themes for 'shiny' Applications
Description: Provides drop-in Liquid Glass themes for 'shiny'. Call glass_theme() and pass the result as theme = to fluidPage(), navbarPage(), or any 'bslib'-aware page function to get translucent surfaces, backdrop blur, and system typography on 'Bootstrap' components. Includes light and dark presets with runtime switching and an OS-following 'auto' mode, an iOS-style intensity control from Ultra Clear to Tinted (glass_intensity_slider()), and options for accent color, blur, corner radius, and motion or tint behavior.
Author: Eric Anderson [aut, cre, cph]
Maintainer: Eric Anderson <eric.ray.anderson@gmail.com>

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Package rtpcr updated to version 2.1.9 with previous version 2.1.8 dated 2026-05-21

Title: qPCR Data Analysis
Description: Tools for qPCR data analysis using Delta Ct and Delta Delta Ct methods, including t-test, Wilcoxon-test, ANOVA models, and publication-ready visualizations. The package supports multiple target, and multiple reference genes, and uses a calculation framework adopted from Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5> and Taylor et al. (2019) <doi:10.1016/j.tibtech.2018.12.002>, covering both the Livak and Pfaffl methods.
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <mirzaghaderi@gmail.com>

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Package RTMBdist updated to version 1.0.6 with previous version 1.0.5 dated 2026-07-22

Title: Distributions Compatible with Automatic Differentiation by 'RTMB'
Description: Extends the functionality of the 'RTMB' <https://kaskr.r-universe.dev/RTMB> package by providing a collection of non-standard probability distributions compatible with automatic differentiation (AD). While 'RTMB' enables flexible and efficient modelling, including random effects, its built-in support is limited to standard distributions. The package adds additional AD-compatible distributions, broadening the range of models that can be implemented and estimated using 'RTMB'. Automatic differentiation and Laplace approximation are described in Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>.
Author: Jan-Ole Fischer [aut, cre]
Maintainer: Jan-Ole Fischer <jan-ole.fischer@mailbox.org>

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Package rPDBapi updated to version 3.0.2 with previous version 3.0.1 dated 2026-03-07

Title: A Comprehensive Interface for Accessing the Protein Data Bank
Description: Provides an R interface to the 'RCSB' Protein Data Bank ('PDB') Search and Data APIs (<https://www.rcsb.org/>). Supports full-text, attribute, sequence, motif, structure, and chemical searches; retrieval of entry-, assembly-, polymer-entity-, and chemical-component-level metadata; and conversion of API responses into analysis-ready tables and typed R objects for reproducible structural bioinformatics workflows.
Author: Selcuk Korkmaz [aut, cre] , Bilge Eren Yamasan [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package RESI updated to version 1.5.1 with previous version 1.4.2 dated 2026-07-24

Title: Robust Effect Size Index (RESI) Estimation
Description: Summarize model output using a robust effect size index. The index is introduced in Vandekar, Tao, & Blume (2020, <doi:10.1007/s11336-020-09698-2>). Software paper available at <doi:10.18637/jss.v112.i03>.
Author: Megan Jones [aut], Kaidi Kang [aut], Simon Vandekar [aut, cre], Gina Yu [ctb], Xinyu Zhang [ctb]
Maintainer: Simon Vandekar <simon.vandekar@vumc.org>

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Package ReportSubtotal updated to version 0.2.1 with previous version 0.1.2 dated 2024-12-02

Title: Adds Subtotals to Data Reports
Description: Adds subtotal rows / sections (a la the 'SAS' 'Proc Tabulate' All option) to a Group By output by running a series of Group By functions with partial sets of the same variables and combining the results with the original. Can be used to add comprehensive information to a data report or to quickly aggregate Group By outputs used to gain a greater understanding of data.
Author: Yoni Aboody [aut, cre, cph]
Maintainer: Yoni Aboody <yoniaboody@gmail.com>

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Package ReDaMoR updated to version 1.0.1 with previous version 1.0.0 dated 2026-05-19

Title: Relational Data Modeler
Description: The aim of this package is to manipulate relational data models in R. It provides functions to create, modify and export data models in json format. It also allows importing models created with 'MySQL Workbench' (<https://www.mysql.com/products/workbench/>). These functions are accessible through a graphical user interface made with 'shiny'. Constraints such as types, keys, uniqueness and mandatory fields are automatically checked and corrected when editing a model. Finally, real data can be confronted to a model to check their compatibility.
Author: Patrice Godard [aut, cre, cph], Kai Lin [ctb]
Maintainer: Patrice Godard <patrice.godard@gmail.com>

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Package RColetum updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-16

Title: Access your Coletum's Data from API
Description: Get your data (forms, structures, answers) from Coletum <https://coletum.com> to handle and analyse.
Author: Andre Smaniotto [aut, cre], Marcelo Magnani [aut], Rodrigo Sant'Ana [aut], GeoSapiens [cph, fnd]
Maintainer: Andre Smaniotto <smaniotto@geosapiens.com.br>

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Package ramps updated to version 0.6.19 with previous version 0.6.18 dated 2023-03-13

Title: Bayesian Geostatistical Modeling with RAMPS
Description: Bayesian geostatistical modeling of Gaussian processes using a reparameterized and marginalized posterior sampling (RAMPS) algorithm designed to lower autocorrelation in MCMC samples. Package performance is tuned for large spatial datasets.
Author: Brian J Smith [aut, cre], Jun Yan [aut], Mary Kathryn Cowles [aut]
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>

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Package qol updated to version 1.3.4 with previous version 1.3.3 dated 2026-07-16

Title: Powerful 'SAS' Inspired Concepts for more Efficient Bigger Outputs
Description: The main goal is to make descriptive evaluations easier to create bigger and more complex outputs in less time with less code. Introducing format containers with multilabels <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p06ciqes4eaqo6n0zyqtz9p21nfb.htm>, a more powerful summarise which is capable to output every possible combination of the provided grouping variables in one go <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p0jvbbqkt0gs2cn1lo4zndbqs1pe.htm>, tabulation functions which can create any table in different styles <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/n1ql5xnu0k3kdtn11gwa5hc7u435.htm> and other more readable functions. The code is optimized to work fast even with datasets of over a million observations.
Author: Tim Siebenmorgen [aut, cre, cph]
Maintainer: Tim Siebenmorgen <qol_package@proton.me>

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Package PubMatrixR updated to version 1.0.1 with previous version 1.0.0 dated 2026-03-12

Title: PubMed Pairwise Co-Occurrence Matrix Construction and Visualization
Description: Queries the 'NCBI' (National Center for Biotechnology Information) Entrez 'E-utilities' API to count pairwise co-occurrences between two sets of terms in 'PubMed' or 'PubMed Central'. It returns a matrix-like data frame of publication counts and can export hyperlink-enabled results in CSV or ODS format. The package also provides heatmap helpers for exploratory visualization of overlap patterns. Based on the method described in Becker et al. (2003) "PubMatrix: a tool for multiplex literature mining" <doi:10.1186/1471-2105-4-61>.
Author: Tyler Laird [aut], Enrique Toledo [aut, cre]
Maintainer: Enrique Toledo <enriquetoledo@gmail.com>

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Package psrwe updated to version 3.2-2 with previous version 3.2-1 dated 2026-02-18

Title: PS-Integrated Methods for Incorporating Real-World Evidence in Clinical Studies
Description: High-quality real-world data can be transformed into scientific real-world evidence for regulatory and healthcare decision-making using proven analytical methods and techniques. For example, propensity score (PS) methodology can be applied to select a subset of real-world data containing patients that are similar to those in the current clinical study in terms of baseline covariates, and to stratify the selected patients together with those in the current study into more homogeneous strata. Then, statistical methods such as the power prior approach or composite likelihood approach can be applied in each stratum to draw inference for the parameters of interest. This package provides functions that implement the PS-integrated real-world evidence analysis methods such as Wang et al. (2019) <doi:10.1080/10543406.2019.1657133>, Wang et al. (2020) <doi:10.1080/10543406.2019.1684309>, and Chen et al. (2020) <doi:10.1080/10543406.2020.1730877>.
Author: Chenguang Wang [aut], Trustees of Columbia University [cph] , Wei-Chen Chen [aut, cre]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

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Package PhysMove updated to version 1.2.5 with previous version 1.2.4 dated 2026-08-04

Title: Quantifying Animal Movement and Space-Use Patterns with Statistical Physics
Description: Provides tools to analyse animal movement and space-use patterns from telemetry data using methods derived from statistical physics. Methods span displacement-based approaches, distribution fitting, space-use metrics (including the influence of correlations on space-use), network-based community detection, and measures of entropy and predictability. The package enables characterisation of these patterns across spatial and temporal scales, including variation within and among individuals (inter- and intraspecific analyses). Outputs include interpretable metrics and visualisations to support ecological analysis and the investigation of fundamental movement processes. For applications of these methods in ecological studies see Rodríguez et al. (2017) <doi:10.1038/s41598-017-00165-0> and Sequeira et al. (2018) <doi:10.1073/pnas.1716137115>.
Author: Hannah J. Calich [aut, cre, cph] , Jorge Rodriguez [aut] , Victor Eguiluz [aut] , Ana M. M. Sequeira [aut]
Maintainer: Hannah J. Calich <hannah.calich@gmail.com>

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Package parafac4microbiome updated to version 1.3.3 with previous version 1.3.2 dated 2025-07-31

Title: Parallel Factor Analysis Modelling of Longitudinal Microbiome Data
Description: Creation and selection of PARAllel FACtor Analysis (PARAFAC) models of longitudinal microbiome data. You can import your own data with our import functions or use one of the example datasets to create your own PARAFAC models. Selection of the optimal number of components can be done using assessModelQuality() and assessModelStability(). The selected model can then be plotted using plotPARAFACmodel(). The Parallel Factor Analysis method was originally described by Caroll and Chang (1970) <doi:10.1007/BF02310791> and Harshman (1970) <https://www.psychology.uwo.ca/faculty/harshman/wpppfac0.pdf>.
Author: Geert Roelof van der Ploeg [aut, cre] , Johan Westerhuis [ctb] , Anna Heintz-Buschart [ctb] , Age Smilde [ctb] , University of Amsterdam [cph, fnd]
Maintainer: Geert Roelof van der Ploeg <roel@simula.no>

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Package orgutils updated to version 0.5-4 with previous version 0.5-3 dated 2025-12-22

Title: Helper Functions for Org Files
Description: Helper functions for Org files (<https://orgmode.org/>): a generic function 'toOrg' for transforming R objects into Org markup (most useful for data frames; there are also methods for Dates/POSIXt) and a function to read Org tables into data frames.
Author: Enrico Schumann [aut, cre]
Maintainer: Enrico Schumann <es@enricoschumann.net>

Diff between orgutils versions 0.5-3 dated 2025-12-22 and 0.5-4 dated 2026-08-21

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More information about orgutils at CRAN
Permanent link

Package Orangutan updated to version 2.2.0 with previous version 2.1.0 dated 2026-03-31

Title: Automated Analysis of Phenotypic Data
Description: Provides functions to analyze and visualize meristic, mensural, and categorical phenotypic data in a comparative framework. The package implements an automated pipeline that summarizes traits, identifies diagnostic variables among groups, performs multivariate and univariate statistical analyses, and produces publication-ready graphics. Earlier implementation are described in Torres (2025) <doi:10.64898/2025.12.18.695244> (v1.0.0) and Torres (2026) <doi:10.1002/ece3.73111> (v2.0.0).
Author: Javier Torres [aut, cre]
Maintainer: Javier Torres <metalofis@gmail.com>

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Package NPLStoolbox updated to version 1.1.1 with previous version 1.1.0 dated 2025-07-31

Title: N-Way Partial Least Squares Modelling of Multi-Way Data
Description: Creation and selection of N-way Partial Least Squares (NPLS) models. Selection of the optimal number of components can be done using ncrossreg(). NPLS was originally described by Rasmus Bro, see <doi:10.1002/%28SICI%291099-128X%28199601%2910%3A1%3C47%3A%3AAID-CEM400%3E3.0.CO%3B2-C>.
Author: Geert Roelof van der Ploeg [aut, cre] , Johan Westerhuis [ctb] , Anna Heintz-Buschart [ctb] , Age Smilde [ctb] , University of Amsterdam [cph, fnd]
Maintainer: Geert Roelof van der Ploeg <roel@simula.no>

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Package NormData updated to version 1.2 with previous version 1.1 dated 2024-04-12

Title: Derivation of Regression-Based Normative Data
Description: Normative data are often used to estimate the relative position of a raw test score in the population. This package allows for deriving regression-based normative data. It includes functions that enable the fitting of regression models for the mean and residual (or variance) structures, test the model assumptions, derive the normative data in the form of normative tables or automatic scoring sheets, and estimate confidence intervals for the norms. This package accompanies the book Van der Elst, W. (2024). Regression-based normative data for psychological assessment. A hands-on approach using R. Springer Nature.
Author: Wim Van der Elst [aut, cre]
Maintainer: Wim Van der Elst <Wim.vanderelst@gmail.com>

Diff between NormData versions 1.1 dated 2024-04-12 and 1.2 dated 2026-08-21

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Package gtregression updated to version 1.1.0 with previous version 1.0.0 dated 2025-08-18

Title: Tools for Creating Publication-Ready Regression Tables
Description: Simplifies regression modeling in R by integrating multiple modeling and summarization tools into a cohesive, user-friendly interface. Designed to be accessible for researchers, particularly those in Low- and Middle-Income Countries (LMIC). Built upon widely accepted statistical methods, including logistic regression (Hosmer et al. 2013, ISBN:9781118548429), log-binomial regression (Spiegelman and Hertzmark 2005 <doi:10.1093/aje/kwi188>), Firth penalized logistic regression (Firth 1993 <doi:10.1093/biomet/80.1.27>), Poisson and robust Poisson regression (Zou 2004 <doi:10.1093/aje/kwh090>), negative binomial regression (Hilbe 2011, ISBN:9780521179515), Cox proportional hazards regression, parametric survival regression, causal mediation analysis, and linear regression (Kutner et al. 2005, ISBN:9780071122214). Leverages multiple dependencies to ensure high-quality output and generate reproducible, publication-ready tables in alignment with best practices in epidemiology [...truncated...]
Author: Rubeshkumar Polani [aut, cre] , Salin K Eliyas [aut] , Manikandanesan Sakthivel [aut] , Mogan Kaviprawin [aut] , Yuvaraj Krishnamoorthy [aut] , Marie Gilbert Majella [aut]
Maintainer: Rubeshkumar Polani <rubesh@thinkdenominator.com>

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Package altmeta updated to version 4.4 with previous version 4.3.1 dated 2026-04-30

Title: Alternative Meta-Analysis Methods
Description: Provides alternative statistical methods for meta-analysis, including: - bivariate generalized linear mixed models for synthesizing odds ratios, relative risks, and risk differences (Chu et al., 2012 <doi:10.1177/0962280210393712>) - tests and measures for between-study heterogeneity (Lin et al., 2017 <doi:10.1111/biom.12543>; Wang et al., 2022 <doi:10.1002/sim.9261>; Yu et al., 2025 <doi:10.1186/s12874-025-02719-7>); - measures, tests, and visualization tools for publication bias, small-study effects, or related bias (Lin and Chu, 2018 <doi:10.1111/biom.12817>; Lin, 2019 <doi:10.1002/jrsm.1340>; Lin, 2020 <doi:10.1177/0962280220910172>; Shi et al., 2020 <doi:10.1002/jrsm.1415>); - meta-analysis of combining standardized mean differences and odds ratios (Jing et al., 2023 <doi:10.1080/10543406.2022.2105345>); - meta-analysis of diagnostic tests for synthesizing sensitivities, specificities, etc. (Reitsma et al., 2005 <doi:10.1016 [...truncated...]
Author: Lifeng Lin [aut, cre] , Yaqi Jing [ctb], Kristine J. Rosenberger [ctb], Linyu Shi [ctb], Yipeng Wang [ctb], Xing Xing [ctb] , Zhiyuan Yu [ctb], Haitao Chu [aut]
Maintainer: Lifeng Lin <lifenglin@arizona.edu>

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Package bigtabulate (with last version 1.1.9) was removed from CRAN

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

2022-04-11 1.1.9
2016-02-18 1.1.5
2015-10-22 1.1.4
2013-11-05 1.1.2
2013-04-01 1.1.1
2012-09-17 1.1.0
2010-07-24 1.0.13
2010-06-09 1.0.11
2010-05-10 1.0.10
2010-05-06 1.0.8

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Package nmw updated to version 0.5.1 with previous version 0.3.1 dated 2026-06-09

Title: Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics
Description: This shows how 'NONMEM' (Beal SL, Sheiner LB, Boeckmann AJ, Bauer RJ. NONMEM 7.5 Users Guides. Icon plc, 2020) software works. 'NONMEM' classical estimation methods such as 'First Order (FO) approximation', 'First Order Conditional Estimation (FOCE)', and 'Laplacian approximation' are explained. Functions are also provided for post-run processing of NONMEM output files, generating PDF diagnostic reports including objective function value analysis, parameter estimates, prediction and residual diagnostics, empirical Bayes estimate (EBE) analysis, input data summary, and individual pharmacokinetic parameter distributions. Helper utilities for building NONMEM-ready datasets from SDTM-style source tables are also included.
Author: Kyun-Seop Bae [aut, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package modsem updated to version 1.0.22 with previous version 1.0.21 dated 2026-07-02

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via 'modsem' it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8.3." Klein, A., & Moosb [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre] , Mehmet Mehmetoglu [ctb] , Matthias Mittner [ctb]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

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Package mlr3misc updated to version 0.23.0 with previous version 0.22.0 dated 2026-06-10

Title: Helper Functions for 'mlr3'
Description: Frequently used helper functions and assertions used in 'mlr3' and its companion packages. Comes with helper functions for functional programming, for printing, to work with 'data.table', as well as some generally useful 'R6' classes. This package also supersedes the package 'BBmisc'.
Author: Marc Becker [cre, aut] , Michel Lang [aut] , Patrick Schratz [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package mlr3inferr updated to version 0.2.2 with previous version 0.2.1 dated 2025-11-26

Title: Inference on the Generalization Error
Description: Confidence interval and resampling methods for inference on the generalization error.
Author: Sebastian Fischer [cre, aut] , Hannah Schulz-Kuempel [aut]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>

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Package mfrmr updated to version 0.2.3 with previous version 0.2.2 dated 2026-07-27

Title: Estimation and Diagnostics for Many-Facet Measurement Models
Description: Native R implementation of many-facet ordered-response measurement models with arbitrary facet counts, rating-scale and partial-credit parameterizations, a bounded generalized partial-credit extension, and both marginal and joint maximum likelihood estimation. The package provides a fit / diagnose / report pipeline covering anchoring, linking, bias and differential-functioning screening, and publication-oriented reporting summaries, with reproducibility manifests for replay. See 'Andrich' (1978) <doi:10.1007/BF02293814>, 'Masters' (1982) <doi:10.1007/BF02296272>, and 'Muraki' (1992) <doi:10.1177/014662169201600206> for the underlying ordered-response models.
Author: Ryuya Komuro [aut, cre, cph]
Maintainer: Ryuya Komuro <ryuya.komuro.c4@tohoku.ac.jp>

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Package locaR updated to version 0.3.0 with previous version 0.2.0 dated 2026-02-23

Title: A Set of Tools for Sound Localization
Description: A set of functions and tools to conduct acoustic source localization, as well as organize and check localization data and results. The localization functions implement the modified steered response power algorithm described by Cobos et al. (2011) <doi:10.1109/LSP.2010.2091502>.
Author: Richard Hedley [cre, aut] , Marcus Becker [aut], Tim Huang [aut]
Maintainer: Richard Hedley <rwhedley@gmail.com>

Diff between locaR versions 0.2.0 dated 2026-02-23 and 0.3.0 dated 2026-08-21

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Package localIV updated to version 0.3.2 with previous version 0.3.1 dated 2020-06-26

Title: Estimation of Marginal Treatment Effects using Local Instrumental Variables
Description: In the generalized Roy model, the marginal treatment effect (MTE) can be used as a building block for constructing conventional causal parameters such as the average treatment effect (ATE) and the average treatment effect on the treated (ATT). Given a treatment selection equation and an outcome equation, the function mte() estimates the MTE via the semiparametric local instrumental variables method or the normal selection model. The function mte_at() evaluates MTE at different values of the latent resistance u with a given X = x, and the function mte_tilde_at() evaluates MTE projected onto the estimated propensity score. The function ace() estimates population-level average causal effects such as ATE, ATT, or the marginal policy relevant treatment effect.
Author: Xiang Zhou [aut, cre]
Maintainer: Xiang Zhou <xiang_zhou@fas.harvard.edu>

Diff between localIV versions 0.3.1 dated 2020-06-26 and 0.3.2 dated 2026-08-21

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

Title: L-Infinity Normalization and Dominant Community State Types
Description: Implements L-infinity normalization for compositional matrices, assigns samples to dominant features, constructs truncated and hierarchically refined dominant community state types, and computes representative landmark profiles. The methods are described in the accompanying publication <doi:10.48550/arXiv.2503.21543>. Bundled vaginal and gut microbiome data support reproducible demonstrations of the package interface; phenotype fields in the stratified gut subset are illustrative and are not suitable for population-level inference.
Author: Pawel Gajer [aut, cre]
Maintainer: Pawel Gajer <pgajer@gmail.com>

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Package lavinteract updated to version 0.5.3 with previous version 0.5.1 dated 2026-04-28

Title: Post-Estimation Utilities for 'lavaan' Fitted Models
Description: Companion toolbox for structural equation models fitted with 'lavaan'. Provides post-estimation diagnostics and graphics that operate directly on a fitted object using its estimates and covariance, and refits auxiliary models when needed. The package relies on 'lavaan' (Rosseel, 2012) <doi:10.18637/jss.v048.i02>.
Author: Giuseppe Corbelli [aut, cre]
Maintainer: Giuseppe Corbelli <giuseppe.corbelli@uninettunouniversity.net>

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Package IssueTrackeR updated to version 1.5.0 with previous version 1.4.1 dated 2026-07-31

Title: List Things to Do
Description: Manage a 'GitHub' problem using R: wrangle issues, labels and milestones. It includes functions for storing, prioritizing (sorting), displaying, adding, deleting, and selecting (filtering) issues based on qualitative and quantitative information. Issues (labels and milestones) are written in lists and categorized into the S3 class to be easily manipulated as datasets in R.
Author: Tanguy Barthelemy [aut, cre, art, cph]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

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

Title: Statistical Toolbox for Radiometric Geochronology
Description: Plots U-Pb data on Wetherill and Tera-Wasserburg concordia diagrams. Calculates concordia and discordia ages. Performs linear regression of measurements with correlated errors using 'York', 'Titterington', 'Ludwig' and Omnivariant Generalised Least-Squares ('OGLS') approaches. Generates Kernel Density Estimates (KDEs) and Cumulative Age Distributions (CADs). Produces Multidimensional Scaling (MDS) configurations and Shepard plots of multi-sample detrital datasets using the Kolmogorov-Smirnov distance as a dissimilarity measure. Calculates 40Ar/39Ar ages, isochrons, and age spectra. Computes weighted means accounting for overdispersion. Calculates U-Th-He (single grain and central) ages, logratio plots and ternary diagrams. Processes fission track data using the external detector method and LA-ICP-MS, calculates central ages and plots fission track and other data on radial (a.k.a. 'Galbraith') plots. Constructs total Pb-U, Pb-Pb, Th-Pb, K-Ca, Re-Os, Sm-Nd, Lu-Hf, Rb-Sr and 230Th-U isoch [...truncated...]
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

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Package isocountry updated to version 0.7.0 with previous version 0.6.1 dated 2026-06-29

Title: ISO 3166-1 Country Codes
Description: ISO 3166-1 country codes and ISO 4217 currency codes provided by the International Organization for Standardization.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package icarm updated to version 0.3.0 with previous version 0.2.0 dated 2026-07-09

Title: Interpretable Contextual-Accountable and Responsible Machine Learning
Description: A general-purpose framework for Interpretable Contextual-Accountable and Responsible Machine Learning (ICARM) that works with any clean tabular data across any application domain including healthcare, finance, social science, business, and education. Automatically detects whether a prediction task is binary classification, multi-class classification, or regression from the target variable type. Provides a unified entry point icarm_fit() supporting both interpretable learners (Classification and Regression Trees (CART), logistic regression, linear regression, Generalized Additive Models (GAM)) and extended learners (random forest, 'XGBoost', Support Vector Machines (SVM)) with consistent interfaces for global and local model explanation including approximate SHapley Additive exPlanations (SHAP) values and Partial Dependence Profiles (PDPs), learning curve diagnostics, group-level fairness auditing across protected attributes, probability calibration, threshold analysis, multi-model comp [...truncated...]
Author: Olushina Olawale Awe [aut, cre], Ludwigsburg University of Education [fnd]
Maintainer: Olushina Olawale Awe <olawaleawe@gmail.com>

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Package huito updated to version 0.2.7 with previous version 0.2.6 dated 2025-10-18

Title: Reproducible and Flexible Label Design
Description: An open-source R package to deploys reproducible and flexible labels using layers. The 'huito' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] , Victor-Hugo Baldera-Chaponan [aut] , Inkaverse [cph]
Maintainer: Flavio Lozano-Isla <flozanoisla@gmail.com>

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Package hmetad updated to version 0.2.0 with previous version 0.1.2 dated 2026-05-15

Title: Fit the Meta-D' Model of Confidence Ratings Using 'brms'
Description: Implementation of Bayesian regressions over the meta-d' model of psychological data from two alternative forced choice tasks with ordinal confidence ratings. For more information, see Maniscalco & Lau (2012) <doi:10.1016/j.concog.2011.09.021>. The package is a front-end to the 'brms' package, which facilitates a wide range of regression designs, as well as tools for efficiently extracting posterior estimates, plotting, and significance testing.
Author: Kevin O'Neill [aut, cre, cph] , Stephen Fleming [aut, cph]
Maintainer: Kevin O'Neill <kevin.o'neill@ucl.ac.uk>

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Package healthyAddress updated to version 0.5.2 with previous version 0.5.1 dated 2025-11-11

Title: Convert Addresses to Standard Inputs
Description: Efficient tools for parsing and standardizing Australian addresses from textual data. It utilizes optimized algorithms to accurately identify and extract components of addresses, such as street names, types, and postcodes, especially for large batched data in contexts where sending addresses to internet services may be slow or inappropriate. The core functionality is built on fast string processing techniques to handle variations in address formats and abbreviations commonly found in Australian address data. Designed for data scientists, urban planners, and logistics analysts, the package facilitates the cleaning and normalization of address information, supporting better data integration and analysis in urban studies, geography, and related fields.
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between healthyAddress versions 0.5.1 dated 2025-11-11 and 0.5.2 dated 2026-08-21

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More information about healthyAddress at CRAN
Permanent link

Package healthatlas updated to version 0.2.3 with previous version 0.2.2 dated 2025-07-22

Title: Explore and Import 'Metopio' Health Atlas Data and Spatial Layers
Description: Allows for painless use of the 'Metopio' health atlas APIs <https://metopio.com/health-atlas> to explore and import data. 'Metopio' health atlases store open public health data. See what topics (or indicators) are available among specific populations, periods, and geographic layers. Download relevant data along with geographic boundaries or point datasets. Spatial datasets are returned as 'sf' objects.
Author: Ryan Zomorrodi [aut, cre, cph]
Maintainer: Ryan Zomorrodi <rzomor2@uic.edu>

Diff between healthatlas versions 0.2.2 dated 2025-07-22 and 0.2.3 dated 2026-08-21

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Permanent link

Package grip updated to version 0.1.3 with previous version 0.1.2 dated 2026-08-05

Title: Graph Drawing with Intelligent Placement (GRIP)
Description: Implements GRIP multiscale graph layout with a unified choice between hop-count and geometry-aware edge-length graph metrics in 2D and 3D. Provides layout scoring, candidate comparison, multiscale trace diagnostics, synthetic graph families, and advanced experimental geodesic-KK utilities for weighted-layout evaluation and polish. Based on Gajer and Kobourov (2002) <doi:10.7155/jgaa.00052> and Gajer, Goodrich and Kobourov (2004) <doi:10.1016/j.comgeo.2004.03.014>.
Author: Pawel Gajer [aut, cre]
Maintainer: Pawel Gajer <pgajer@gmail.com>

Diff between grip versions 0.1.2 dated 2026-08-05 and 0.1.3 dated 2026-08-21

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More information about grip at CRAN
Permanent link

Package gp3tools updated to version 2.3.0 with previous version 2.0.1 dated 2026-07-14

Title: Import, Inspect, Analyse, and Report Gazepoint GP3 Exports
Description: Tools for importing, inspecting, cleaning, summarising, modelling, and reporting Gazepoint GP3 and Gazepoint Analysis CSV exports. The package supports offline workflows for all-gaze, fixation, pupil, area-of-interest, transition, time-course, quality-audit, and manuscript-reporting analyses. The package methodology is described in the peer-reviewed software paper <doi:10.3390/jemr19040076>.
Author: Stefanos Balaskas [aut, cre]
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>

Diff between gp3tools versions 2.0.1 dated 2026-07-14 and 2.3.0 dated 2026-08-21

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Package GLSME updated to version 1.0.6 with previous version 1.0.5 dated 2019-09-15

Title: Generalized Least Squares with Measurement Error
Description: Performs linear regression with correlated predictors, responses and correlated measurement errors in predictors and responses, correcting for biased caused by these.
Author: Krzysztof Bartoszek [cre, aut, ths]
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>

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Package gemtc updated to version 1.1-2 with previous version 1.1-1 dated 2026-03-26

Title: Network Meta-Analysis Using Bayesian Methods
Description: Network meta-analyses (mixed treatment comparisons) in the Bayesian framework using JAGS. Includes methods to assess heterogeneity and inconsistency, and a number of standard visualizations. van Valkenhoef et al. (2012) <doi:10.1002/jrsm.1054>; van Valkenhoef et al. (2015) <doi:10.1002/jrsm.1167>.
Author: Gert van Valkenhoef [aut, cre], Joel Kuiper [aut]
Maintainer: Gert van Valkenhoef <gert@gertvv.nl>

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Package datanugget updated to version 1.5.0 with previous version 1.4.0 dated 2025-12-04

Title: Create, Optimize, and Refine Data Nuggets
Description: Creating, optimizing and refining data nuggets. Data nuggets reduce a large dataset into a small collection of nuggets of data, each containing a center (location), weight (importance), and scale (variability) parameter. Data nugget centers are selected based on a space-filling maximum-entropy scheme. Data nugget weights are created by counting the number observations closest to a given data nugget center. We then say the data nugget 'contains' these observations and the data nugget center is recalculated as the mean of these observations. Data nugget scales are created by calculating the trace of the covariance matrix of the observations contained within a data nugget divided by the dimension of the dataset. The optimal number of data nuggets is determined data-driven based on the relative second-order differences of propensity score indices. Data nuggets are refined by 'splitting' data nuggets which have high scales or elongated shapes (defined as the ratio of the two largest eigenva [...truncated...]
Author: Rituparna Dey [aut, cre], Yajie Duan [aut], Traymon Beavers [aut], Javier Cabrera [aut], Ge Cheng [aut], Kunting Qi [aut], Mariusz Lubomirski [aut]
Maintainer: Rituparna Dey <rituparnadey525@gmail.com>

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Package CopulaSCR updated to version 1.0.2 with previous version 1.0.1 dated 2026-06-12

Title: Analysis of Semi-Competing Risks Data Using Copula-Based Models
Description: Simulate and analyze Semi-competing Risks Data using copula-based models. The Semi-competing Risks Data consist of a terminal event time and single or multiple intermediate event times. The marginal survival functions of these event times are estimated without parametric assumptions. The association parameters measuring dependency among these event times involving the copula model are yielded from solving a concordance estimating equations or maximizing a pseudo-likelihood function. Details can be found in the article by Tonghui Yu and Liming Xiang (2026) <doi:10.1093/biomtc/ujag087>.
Author: Tonghui Yu [aut, cre], Binhui Zhang [aut]
Maintainer: Tonghui Yu <tonghui_yu@126.com>

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Package Compositional updated to version 8.3 with previous version 8.2 dated 2026-05-23

Title: Compositional Data Analysis
Description: Regression, classification, contour plots, hypothesis testing and fitting of distributions for compositional data are some of the functions included. We further include functions for percentages (or proportions). The standard textbook for such data is John Aitchison's (1986) "The statistical analysis of compositional data". Relevant papers include: a) Tsagris M.T., Preston S. and Wood A.T.A. (2011). "A data--based power transformation for compositional data". Fourth International International Workshop on Compositional Data Analysis. <doi:10.48550/arXiv.1106.1451>. b) Tsagris M. (2014). "The k--NN algorithm for compositional data: a revised approach with and without zero values present". Journal of Data Science, 12(3): 519--534. <doi:10.6339/JDS.201407_12(3).0008>. c) Tsagris M. (2015). "A novel, divergence based, regression for compositional data". Proceedings of the 28th Panhellenic Statistics Conference, 15-18 April 2015, Athens, Greece, 430--444. <doi:10.48550/arXiv. [...truncated...]
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut], Abdulaziz Alenazi [ctb], Christos Adam [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package admiralonco updated to version 1.5.0 with previous version 1.4.1 dated 2026-05-21

Title: Oncology Extension Package for ADaM in 'R' Asset Library
Description: Programming oncology specific Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in 'R'. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team (2021), <https://www.cdisc.org/standards/foundational/adam>). The package is an extension package of the 'admiral' package.
Author: Stefan Bundfuss [aut, cre], Amit Jain [aut], Vinh Nguyen [aut], Olga Starostecka [aut], Kiran Peddamudium [aut], Tomoyuki Namai [aut], Ross Farrugia [aut], Yirong Cao [ctb], F. Hoffmann-La Roche AG [cph, fnd], GlaxoSmithKline LLC [cph, fnd], Bristol [...truncated...]
Maintainer: Stefan Bundfuss <stefan.bundfuss@external.roche.com>

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Package ggvariant updated to version 0.2.0 with previous version 0.1.0 dated 2026-02-27

Title: Tidy, 'ggplot2'-Native Visualization for Genomic Variants
Description: A simple, opinionated toolkit for visualizing genomic variant data using a 'ggplot2'-native grammar. Accepts VCF files or plain data frames and produces lollipop plots, consequence summaries, mutational spectrum charts, and cohort-level comparisons as standard 'ggplot2' objects. Designed for both wet-lab biologists and experienced bioinformaticians.
Author: Joash Joshua Ayo [aut, cre]
Maintainer: Joash Joshua Ayo <joashjoshua789@gmail.com>

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Package ggExametrika updated to version 1.1.2 with previous version 1.1.1 dated 2026-06-15

Title: Visualization of 'exametrika' Output Using 'ggplot2'
Description: Provides 'ggplot2'-based visualization functions for output objects from the 'exametrika' package, which implements test data engineering methods described in Shojima (2022, ISBN:978-981-16-9547-1). Supports a wide range of psychometric models including Item Response Theory, Latent Class Analysis, Latent Rank Analysis, Biclustering (binary, ordinal, and nominal), Bayesian Network Models, and related network models. All plot functions return 'ggplot2' objects that can be further customized by the user.
Author: Koji Kosugi [aut, cre] , Daichi Kamimura [aut]
Maintainer: Koji Kosugi <kosugitti@gmail.com>

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Package gfunctions updated to version 1.2 with previous version 1.1 dated 2025-07-23

Title: G-Functions
Description: Modified versions of the lag() and summary() functions: glag() and gsummary(). The prefix 'g' is a reminder of who to blame if things do not work as they should.
Author: Genaro Sucarrat [aut, cre]
Maintainer: Genaro Sucarrat <gsucarrat@gmail.com>

Diff between gfunctions versions 1.1 dated 2025-07-23 and 1.2 dated 2026-08-21

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Package GeoModels updated to version 2.2.8 with previous version 2.2.7 dated 2026-07-29

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. Se [...truncated...]
Author: Moreno Bevilacqua [aut, cre, cph], Victor Morales-Onate [ctb], Francisco Cuevas-Pacheco [ctb], Christian Caamano-Carrillo [ctb]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

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Package ExactTree updated to version 0.1.2 with previous version 0.1.1 dated 2026-08-07

Title: Exact Tree
Description: Grows optimally global trees based on the algorithm defined in the thesis by van Os, B.J. (2001, ISBN:9789090144795). It is possible to obtain both classification and regression trees depending on the measurement level of the outcome variable. The algorithm is based on the dynamic programming principle and guarantees that the resulting tree is optimal with respect to the chosen impurity measure. The package also includes a function to visualize the resulting trees, a function that summarizes the tree with its splitting information and leaf information, and a predict function that provides estimates for a new dataset given a model fit.
Author: Juan Claramunt Gonzalez [aut, cre, cph], Bart Jan van Os [aut], Elise Dusseldorp [aut]
Maintainer: Juan Claramunt Gonzalez <j.claramunt.gonzalez@fsw.leidenuniv.nl>

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Package envar updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-31

Title: Download and Process Environmental Variables
Description: Provides a unified interface to download, harmonise and extract a wide range of environmental and socio-economic variables from established open data web services (such as 'WorldClim' <https://www.worldclim.org/>, 'CHELSA' <https://chelsa-climate.org/> and 'Bio-ORACLE' <https://www.bio-oracle.org/>, among others) for use in macroecology and biogeography. The package handles spatial subsetting to a study area, reprojection to a common coordinate reference system, and extraction of values at sampling points, so that predictors from heterogeneous sources can be assembled within a single reproducible workflow. Helper functions for collinearity checking and variable exploration are also included.
Author: Andrea Simoncini [aut, cre] , Michele Bertoncini [aut] , Andrea Cerofolini [aut] , Andrea Dalpasso [aut] , Mattia Falaschi [aut] , Gentile Francesco Ficetola [aut] , Elia Lo Parrino [aut]
Maintainer: Andrea Simoncini <simonciniandre@gmail.com>

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Package EE.Data updated to version 0.2.0 with previous version 0.1.1 dated 2026-04-01

Title: Objects for Predicting Energy Expenditure
Description: This is a data-only package containing model objects that predict human energy expenditure from wearable sensor data. Supported methods include the neural networks of Montoye et al. (2017) <doi:10.1080/1091367X.2017.1337638> and the models of Staudenmayer et al. (2015) <doi:10.1152/japplphysiol.00026.2015>, one a linear model and the other a random forest. The package is intended as a spoke for the hub-package 'accelEE', which brings together the above methods and others from packages such as 'Sojourn' and 'TwoRegression.'
Author: Paul R. Hibbing [aut, cre], Alexander H.K. Montoye [ctb], John Staudenmayer [ctb], Children's Mercy Kansas City [cph]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>

Diff between EE.Data versions 0.1.1 dated 2026-04-01 and 0.2.0 dated 2026-08-21

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Package dyadMLM updated to version 0.2.0 with previous version 0.1.0 dated 2026-07-30

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), Dyadic Score Models (DSMs), and Dyad-Individual Models (DIMs). 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. The APIM and DSM specifications and their relationships follow Iida et al. (2018) <doi:10.1177/0265407517725407>; the [...truncated...]
Author: Pascal Kueng [aut, cre, cph]
Maintainer: Pascal Kueng <kueng.pascal@gmail.com>

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Package diegr updated to version 0.3.1 with previous version 0.2.0 dated 2026-01-24

Title: Dynamic and Interactive EEG Graphics
Description: Allows to visualize high-density electroencephalography (HD-EEG) data through interactive plots and animations, enabling exploratory and communicative analysis of temporal-spatial brain signals. Funder: Masaryk University (Grant No. MUNI/A/1457/2023).
Author: Zdeňka Gerslova [aut, cre] , Stanislav Katina [rev] , Martin Lamos [ctb]
Maintainer: Zdeňka Gerslova <gerslovaz@math.muni.cz>

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Package CurricularComplexity updated to version 1.1.0 with previous version 1.0.3 dated 2026-07-08

Title: Toolkit for Analyzing Curricular Complexity
Description: Enables educational researchers and practitioners to calculate the curricular complexity of a plan of study, visualize its prerequisite structure at scale, and conduct customizable analyses. The original tool can be found at <https://curricularanalytics.org>. Additional functions to explore curriculum complexity from the literature are also included.
Author: David Reeping [aut, cre]
Maintainer: David Reeping <reepindp@ucmail.uc.edu>

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Package cuda.ml updated to version 0.4.0 with previous version 0.3.3 dated 2026-04-29

Title: R Interface for the RAPIDS cuML Suite of Libraries
Description: R interface for RAPIDS cuML (<https://github.com/NVIDIA/cuml>), a suite of GPU-accelerated machine learning libraries powered by CUDA (<https://en.wikipedia.org/wiki/CUDA>).
Author: Yitao Li [aut, cph] , Tomasz Kalinowski [aut, cre, cph], Daniel Falbel [aut, cph], RStudio [cph, fnd]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package csranks updated to version 1.3.0 with previous version 1.2.3 dated 2024-09-12

Title: Statistical Tools for Ranks
Description: Account for uncertainty when working with ranks. Estimate standard errors consistently in linear regression with ranked variables. Construct confidence sets of various kinds for positions of populations in a ranking based on values of a certain feature and their estimation errors. Theory based on Mogstad, Romano, Shaikh, and Wilhelm (2023)<doi:10.1093/restud/rdad006> and Chetverikov and Wilhelm (2023) <doi:10.48550/arXiv.2310.15512>.
Author: Daniel Wilhelm [aut, cre], Pawel Morgen [aut]
Maintainer: Daniel Wilhelm <d.wilhelm@lmu.de>

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Package countSTAR updated to version 1.2.1 with previous version 1.2.0 dated 2026-04-03

Title: Flexible Modeling of Count Data
Description: For Bayesian and classical inference and prediction with count-valued data, Simultaneous Transformation and Rounding (STAR) Models provide a flexible, interpretable, and easy-to-use approach. STAR models the observed count data using a rounded continuous data model and incorporates a transformation for greater flexibility. Implicitly, STAR formalizes the commonly-applied yet incoherent procedure of (i) transforming count-valued data and subsequently (ii) modeling the transformed data using Gaussian models. STAR is well-defined for count-valued data, which is reflected in predictive accuracy, and is designed to account for zero-inflation, bounded or censored data, and over- or underdispersion. Importantly, STAR is easy to combine with existing MCMC or point estimation methods for continuous data, which allows seamless adaptation of continuous data models (such as linear regressions, additive models, BART, random forests, and gradient boosting machines) for count-valued data. The package [...truncated...]
Author: Brian King [aut, cre], Dan Kowal [aut]
Maintainer: Brian King <brianking387@gmail.com>

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Package corto updated to version 1.3.1 with previous version 1.2.4 dated 2023-12-06

Title: Inference of Gene Regulatory Networks
Description: We present 'corto' (Correlation Tool), a simple package to infer gene regulatory networks and visualize master regulators from gene expression data using DPI (Data Processing Inequality) and bootstrapping to recover edges. An initial step is performed to calculate all significant edges between a list of source nodes (centroids) and target genes. Then all triplets containing two centroids and one target are tested in a DPI step which removes edges. A bootstrapping process then calculates the robustness of the network, eventually re-adding edges previously removed by DPI. The algorithm has been optimized to run outside a computing cluster, using a fast correlation implementation. The package finally provides functions to calculate network enrichment analysis from RNA-Seq and ATAC-Seq signatures as described in the article by Giorgi lab (2020) <doi:10.1093/bioinformatics/btaa223>.
Author: Federico M. Giorgi [aut, cre], Daniele Mercatelli [ctb], Gonzalo Lopez-Garcia [ctb], Hugo Tovar [ctb], Hualin Wang [ctb]
Maintainer: Federico M. Giorgi <federico.giorgi@gmail.com>

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Package cofad updated to version 0.4.0 with previous version 0.3.3 dated 2025-05-15

Title: Contrast Analyses for Factorial Designs
Description: Contrast analysis for factorial designs provides an alternative to the traditional ANOVA approach, offering the distinct advantage of testing targeted hypotheses. The foundation of this package is primarily rooted in the works of Rosenthal, Rosnow, and Rubin (2000, ISBN: 978-0521659802) as well as Sedlmeier and Renkewitz (2018, ISBN: 978-3868943214).
Author: Johannes Titz [aut, cre], Markus Burkhardt [aut], Mirka Henninger [ctb], Simone Malejka [ctb]
Maintainer: Johannes Titz <johannes.titz@gmail.com>

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Package CLRtools updated to version 0.1.2 with previous version 0.1.1 dated 2026-03-16

Title: Diagnostic Tools for Logistic and Conditional Logistic Regression
Description: Provides tools for fitting, assessing, and comparing logistic and conditional logistic regression models. Includes residual diagnostics and goodness of fit measures for model development and evaluation in matched case control studies.
Author: Brenda Contla Hernandez [aut, cre], Matthieu Vignes [ctb] , Chris Compton [ctb]
Maintainer: Brenda Contla Hernandez <B.Hernandez@massey.ac.nz>

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Package civic.icarm updated to version 0.4.0 with previous version 0.3.0 dated 2026-06-22

Title: Interpretable Civic-Accountable and Responsible Machine Learning
Description: A general-purpose framework for Interpretable Civic-Accountable and Responsible Machine Learning (ICARM). Works with any clean tabular data and automatically detects whether a task is binary classification, multi-class classification, or regression from the target variable type. Provides a single unified entry point civic_fit() alongside tidy interfaces for global and local model explanations, group-level fairness auditing, probability calibration, multi-model comparison, threshold analysis, and reproducible audit trails. Designed to support the DataCitizen-Pro research agenda at Ludwigsburg University of Education: developing data literacy, statistical reasoning, and democratic judgment formation in civic and political teacher education. References: Biecek (2018) <doi:10.18637/jss.v085.i04>, Kuhn (2008) <doi:10.18637/jss.v028.i05>, Awe (2025) <https://github.com/Olawaleawe/civic.icarm>.
Author: Olushina Olawale Awe [aut, cre], Ludwigsburg University of Education [fnd]
Maintainer: Olushina Olawale Awe <olawaleawe@gmail.com>

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Package childfree updated to version 0.0.6 with previous version 0.0.5 dated 2026-02-26

Title: Access and Harmonize Childfree Demographic Data
Description: Reads demographic data from a variety of public data sources, extracting and harmonizing variables useful for the study of childfree individuals. The identification of childfree individuals and those with other family statuses uses Neal & Neal's (2024) "A Framework for Studying Adults who Neither have Nor Want Children" <doi:10.1177/10664807231198869>; A pre-print is available at <doi:10.31234/osf.io/fa89m>.
Author: Zachary Neal [aut, cre] , Jennifer Watling Neal [aut]
Maintainer: Zachary Neal <zpneal@msu.edu>

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Package cgmguru updated to version 1.3.0 with previous version 1.2.0 dated 2026-07-08

Title: Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend
Description: Tools for advanced analysis of continuous glucose monitoring (CGM) time-series, implementing GRID (Glucose Rate Increase Detector) and GRID-based algorithms for postprandial peak detection, and detection of hypoglycemic and hyperglycemic episodes (Levels 1/2/Extended) aligned with international consensus CGM metrics. Core algorithms are implemented in optimized C++ using 'Rcpp' to provide accurate and fast analysis on large datasets.
Author: Sang Ho Park [aut, cre], Rosa Oh [aut, ctb], Sang-Man Jin [aut, ctb]
Maintainer: Sang Ho Park <shstat1729@gmail.com>

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Package canvasXpress updated to version 1.65.2 with previous version 1.59.5 dated 2026-01-14

Title: Visualization Package for CanvasXpress in R
Description: Enables creation of visualizations using the CanvasXpress framework in R. CanvasXpress is a standalone JavaScript library for reproducible research with complete tracking of data and end-user modifications stored in a single PNG image that can be played back. See <https://www.canvasxpress.org> for more information.
Author: Isaac Neuhaus [aut], Connie Brett [aut, cre]
Maintainer: Connie Brett <connie@aggregate-genius.com>

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

Title: Fit Bounded Continuous Item Response Theory Models to Data
Description: Bounded continuous data are encountered in many areas of test application. Examples include visual analogue scales used in the measurement of personality, mood, depression, and quality of life; item response times from tests with item deadlines; confidence ratings; and pain intensity ratings. Using this package, item response theory (IRT) models suitable for bounded continuous item scores can be fitted to data within a Bayesian framework. The package draws on posterior sampling facilities provided by R-package 'rstan' (Stan Development Team, 2025)<https://mc-stan.org/>. Available models include the Beta IRT model by Noel and Dauvier (2007)<doi:10.1177/0146621605287691>, the continuous response model by Samejima (1973)<doi:10.1007/BF03372160>, the unbounded normal model by Mellenbergh (1994)<doi:10.1207/s15327906mbr2903_2>, and the Simplex IRT model by Flores et al. (2020)<doi:10.1007/978-3-030-43469-4_8>. All models can be fitted with or without zero-one i [...truncated...]
Author: Dylan Molenaar [aut, cre]
Maintainer: Dylan Molenaar <d.molenaar@uva.nl>

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Package binsreg updated to version 2.2 with previous version 2.1 dated 2026-05-22

Title: Binscatter Estimation and Inference
Description: Provides tools for statistical analysis using the binscatter methods developed by Cattaneo, Crump, Farrell and Feng (2024) <https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2024_AER.pdf>, Cattaneo, Crump, Farrell and Feng (2025) <https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2025_Stata.pdf> and Cattaneo, Crump, Farrell and Feng (2026) <https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2026_RESTAT.pdf>. Binscatter provides a flexible way of describing the relationship between two variables based on partitioning/binning of the independent variable of interest. binsreg(), binsqreg() and binsglm() implement binscatter least squares regression, quantile regression and generalized linear regression respectively, with particular focus on constructing binned scatter plots. They also implement robust (pointwise and uniform) inference of regression functions and derivatives thereof. binstest() implements hypothesis test [...truncated...]
Author: Matias D. Cattaneo [aut, cre], Richard K. Crump [aut], Max H. Farrell [aut], Yingjie Feng [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

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Package bayesQRsurvey updated to version 0.3.1 with previous version 0.3.0 dated 2026-07-07

Title: Bayesian Quantile Regression Models for Complex Survey Data Analysis
Description: Provides Bayesian quantile regression models for complex survey data under informative sampling using survey-weighted estimators. Both single- and multiple-output models are supported. To accelerate computation, all algorithms are implemented in 'C++' using 'Rcpp', 'RcppArmadillo', and 'RcppEigen', and are called from 'R'. See Nascimento and Gonçalves (2024) <doi:10.1093/jssam/smae015> and Nascimento and Gonçalves (2026) <doi:10.1093/jssam/smaf040>.
Author: Tomas Rodriguez Taborda [aut, cre], Johnatan Cardona Jimenez [aut], Marcus L. Nascimento [aut], Kelly Cristina Mota Goncalves [aut]
Maintainer: Tomas Rodriguez Taborda <torodriguezt@unal.edu.co>

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Package autotestR updated to version 1.2.16 with previous version 1.2.15 dated 2026-04-28

Title: Automated Functions for Basic Statistical Tests
Description: Provides simple and intuitive functions for basic statistical analyses. Methods include the t-test (Student 1908 <doi:10.1093/biomet/6.1.1>), the Mann-Whitney U test (Mann and Whitney 1947 <doi:10.1214/aoms/1177730491>), Pearson's correlation (Pearson 1895 <doi:10.1098/rspl.1895.0041>), and analysis of variance (Fisher 1925, <doi:10.1007/978-1-4612-4380-9_5>). Functions are compatible with 'ggplot2' and 'dplyr'.
Author: Luiz Garcia [aut, cre]
Maintainer: Luiz Garcia <luiz.cardoso@ufpr.br>

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Package asleep updated to version 0.3.0 with previous version 0.1.0 dated 2026-08-04

Title: Estimate Sleep from 'Accelerometry' Data
Description: Interfaces the 'asleep' python module <https://github.com/OxWearables/asleep> from Yuan (2024) <doi:10.1038/s41746-024-01148-y> to estimate sleep from 'accelerometry' data.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

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