Sun, 28 Jun 2026

Package ravel updated to version 0.1.2 with previous version 0.1.1 dated 2026-04-03

Title: AI Copilot for R Analysis Workflows in 'RStudio'
Description: An AI copilot for R users in 'RStudio' and Posit workflows with active-editor, workspace, object, console, plot, and git-aware context. Provides statistical helpers for interpreting lm() and glm() models, stages code and file actions before execution, drafts reproducible 'Quarto' content, and connects to official provider APIs or CLIs for 'OpenAI', 'GitHub Copilot', 'Gemini', and 'Anthropic'.
Author: Markuss Saule [aut, cre, cph]
Maintainer: Markuss Saule <markusstomas@gmail.com>

Diff between ravel versions 0.1.1 dated 2026-04-03 and 0.1.2 dated 2026-06-28

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Package muiMaterial updated to version 0.2.1 with previous version 0.2.0 dated 2026-06-04

Title: 'Material UI' for 'shiny' Apps and 'Quarto'
Description: Wraps the 'Material UI' React components <https://mui.com/> for use in R, 'shiny' applications and 'quarto' documents, including inputs, layouts, navigation, and surfaces. All inputs come with R usage examples.
Author: Felix Luginbuhl [aut, cre, cph] , MUI [cph] , Emotion team [cph] , Meta Platforms, Inc. and affiliates [cph]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

Diff between muiMaterial versions 0.2.0 dated 2026-06-04 and 0.2.1 dated 2026-06-28

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Package SFPL updated to version 1.0.1 with previous version 1.0.0 dated 2024-07-26

Title: Sparse Fused Plackett-Luce
Description: Implements the methodological developments found in Hermes, van Heerwaarden, and Behrouzi (2025) <doi:10.48550/arXiv.2407.10846>, and allows for the statistical modeling of multi-group rank data in combination with object variables. The package also allows for the simulation of synthetic multi-group rank data.
Author: Sjoerd Hermes [aut, cre]
Maintainer: Sjoerd Hermes <sjoerd.hermes@wur.nl>

Diff between SFPL versions 1.0.0 dated 2024-07-26 and 1.0.1 dated 2026-06-28

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Package DemoKin (with last version 1.0.3) was removed from CRAN

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

2023-06-05 1.0.3

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Package quantmod updated to version 0.4.29 with previous version 0.4.28 dated 2025-06-19

Title: Quantitative Financial Modelling Framework
Description: Specify, build, trade, and analyse quantitative financial trading strategies.
Author: Jeffrey A. Ryan [aut, cph], Joshua M. Ulrich [cre, aut], Ethan B. Smith [ctb], Wouter Thielen [ctb], Paul Teetor [ctb], Steve Bronder [ctb]
Maintainer: Joshua M. Ulrich <josh.m.ulrich@gmail.com>

Diff between quantmod versions 0.4.28 dated 2025-06-19 and 0.4.29 dated 2026-06-28

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Package CCMMR updated to version 0.2.2 with previous version 0.2.1 dated 2024-11-07

Title: Minimization of the Convex Clustering Loss Function
Description: Implements the convex clustering through majorization-minimization (CCMM) algorithm described in Touw, Groenen, and Terada (2022) <doi:10.48550/arXiv.2211.01877> to perform minimization of the convex clustering loss function.
Author: Daniel Touw [aut, cre] , Patrick Groenen [aut] , Yoshikazu Terada [aut]
Maintainer: Daniel Touw <touw@ese.eur.nl>

Diff between CCMMR versions 0.2.1 dated 2024-11-07 and 0.2.2 dated 2026-06-28

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Package guidedPLS updated to version 1.2.1 with previous version 1.1.0 dated 2025-08-25

Title: Supervised Dimensional Reduction by Guided Partial Least Squares
Description: Guided partial least squares (guided-PLS) is the combination of partial least squares by singular value decomposition (PLS-SVD) and guided principal component analysis (guided-PCA). This package provides implementations of PLS-SVD, guided-PLS, and guided-PCA for supervised dimensionality reduction. The guided-PCA function (new in v1.1.0) automatically handles mixed data types (continuous and categorical) in the supervision matrix and provides detailed contribution analysis for interpretability. For the details of the methods, see the reference section of GitHub README.md <https://github.com/rikenbit/guidedPLS>.
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

Diff between guidedPLS versions 1.1.0 dated 2025-08-25 and 1.2.1 dated 2026-06-28

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Package iTensor updated to version 1.0.6 with previous version 1.0.5 dated 2026-05-11

Title: ICA-Based Matrix/Tensor Decomposition
Description: Some functions for performing ICA, MICA, Group ICA, and Multilinear ICA are implemented. ICA, MICA/Group ICA, and Multilinear ICA extract statistically independent components from single matrix, multiple matrices, and single tensor, respectively. For the details of these methods, see the reference section of GitHub README.md <https://github.com/rikenbit/iTensor>.
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

Diff between iTensor versions 1.0.5 dated 2026-05-11 and 1.0.6 dated 2026-06-28

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Package mixtime updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-19

Title: Mixed Temporal Vectors and Operations
Description: Flexible time classes for time series analysis and forecasting with mixed temporal granularities. Supports linear and cyclical time representations in discrete and continuous forms, with timezone support, across multiple calendar systems including Gregorian and ISO week date calendars. Time points are stored numerically relative to a chronon; an atomic time granule defined by time units of a calendar. Calendrical arithmetic enables conversion between time granules (e.g. days to months) and calendar systems. Multi-unit arithmetic allows for temporal analysis with other granules of common calendars (e.g. fortnights are 2-week units). Time vectors of different granularities (e.g. monthly and quarterly) can be combined in a single vector, making 'mixtime' ideal for data that changes observation frequency over time or requires temporal reconciliation across scales. The package is extensible, allowing users to define custom calendars that build upon civil and astronomical time systems.
Author: Mitchell O'Hara-Wild [aut, cre]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between mixtime versions 0.1.0 dated 2026-05-19 and 0.2.0 dated 2026-06-28

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Package forrel updated to version 1.9.0 with previous version 1.8.1 dated 2025-07-21

Title: Forensic Pedigree Analysis and Relatedness Inference
Description: Forensic applications of pedigree analysis, including likelihood ratios for relationship testing, general relatedness inference, marker simulation, and power analysis. 'forrel' is part of the 'pedsuite', a collection of packages for pedigree analysis, further described in the book 'Pedigree Analysis in R' (Vigeland, 2021, ISBN:9780128244302). Several functions deal specifically with power analysis in missing person cases, implementing methods described in Vigeland et al. (2020) <doi:10.1016/j.fsigen.2020.102376>. Data import from the 'Familias' software (Egeland et al. (2000) <doi:10.1016/S0379-0738(00)00147-X>) is supported through the 'pedFamilias' package.
Author: Magnus Dehli Vigeland [aut, cre] , Thore Egeland [ctb]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between forrel versions 1.8.1 dated 2025-07-21 and 1.9.0 dated 2026-06-28

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Package fabletools updated to version 0.8.0 with previous version 0.7.0 dated 2026-04-30

Title: Core Tools for Packages in the 'fable' Framework
Description: Provides tools, helpers and data structures for developing models and time series functions for 'fable' and extension packages. These tools support a consistent and tidy interface for time series modelling and analysis.
Author: Mitchell O'Hara-Wild [aut, cre] , Rob Hyndman [aut], Earo Wang [aut] , Di Cook [ctb], George Athanasopoulos [ctb], David Holt [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between fabletools versions 0.7.0 dated 2026-04-30 and 0.8.0 dated 2026-06-28

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More information about fabletools at CRAN
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Package mdatools updated to version 0.16.0 with previous version 0.15.0 dated 2026-03-06

Title: Multivariate Data Analysis for Chemometrics
Description: Projection based methods for preprocessing, exploring and analysis of multivariate data used in chemometrics. S. Kucheryavskiy (2020) <doi:10.1016/j.chemolab.2020.103937>.
Author: Sergey Kucheryavskiy [aut, cre]
Maintainer: Sergey Kucheryavskiy <svkucheryavski@gmail.com>

Diff between mdatools versions 0.15.0 dated 2026-03-06 and 0.16.0 dated 2026-06-28

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