Mon, 02 Nov 2026

Package qs2 updated to version 0.4.0 with previous version 0.3.1 dated 2026-08-21

Title: Efficient Serialization of R Objects
Description: Streamlines and accelerates the process of saving and loading R objects, improving speed and compression compared to other methods. The package provides two compression formats: the 'qs2' format, which uses R serialization via the C API while optimizing compression and disk I/O, and the 'qdata' format, featuring custom serialization for slightly faster performance and better compression. Additionally, the 'qs2' format can be directly converted to the standard 'RDS' format, ensuring long-term compatibility with future versions of R.
Author: Travers Ching [aut, cre, cph], Yann Collet [ctb, cph] , Facebook, Inc. [cph] , Reichardt Tino [ctb, cph] , Skibinski Przemyslaw [ctb, cph] , Mori Yuta [ctb, cph] , Francesc Alted [ctb] , Benjamin L. Hlina [ctb]
Maintainer: Travers Ching <traversc@gmail.com>

Diff between qs2 versions 0.3.1 dated 2026-08-21 and 0.4.0 dated 2026-11-02

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Package kedd updated to version 2.0.0 with previous version 1.0.4 dated 2024-02-01

Title: Kernel Estimator and Bandwidth Selection for Density and Its Derivatives
Description: Kernel estimation of a univariate probability density and of its derivatives of any order r, with data-driven bandwidth selection. Provides the kernel estimator of the derivative of order r, the kernels, their derivatives and convolutions, and eight bandwidth selectors: the asymptotic MISE rule (AMISE), and unbiased (UCV), biased (BCV1, BCV2), complete (CCV), modified (MCV), trimmed (TCV), smoothed (SCV) and maximum-likelihood (MLCV) cross-validation. Supports ten named kernels (Gaussian, Epanechnikov, uniform, triangular, biweight, triweight, tricube, cosine, Silverman, logistic) and the power family Pow(s,t), c(1-|x|^s)^t on [-1,1]. Results are S4 objects with 'ggplot2' graphics; the O(n^2) criteria are computed in C++ ('Rcpp') with 'OpenMP' parallelism. Includes five example samples from Marron and Wand (1992) normal mixtures, a vignette and demos. Companion to Guidoum (2020) <doi:10.48550/arXiv.2012.06102>.
Author: Arsalane Chouaib Guidoum [aut, cre] , Amel Henider [aut], Iago Gine-Vazquez [ctb]
Maintainer: Arsalane Chouaib Guidoum <acguidoum@univ-tam.dz>

Diff between kedd versions 1.0.4 dated 2024-02-01 and 2.0.0 dated 2026-11-02

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Package highs updated to version 1.15.1-2 with previous version 1.15.1-1 dated 2026-10-23

Title: 'HiGHS' Optimization Solver
Description: R interface to 'HiGHS', an optimization solver for solving mixed integer optimization problems with quadratic or linear objective and linear constraints.
Author: Florian Schwendinger [aut, cre], Balasubramanian Narasimhan [aut], Dirk Schumacher [aut], Julian Hall [cph], Ivet Galabova [cph], Leona Gottwald [cph], Michael Feldmeier [cph]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between highs versions 1.15.1-1 dated 2026-10-23 and 1.15.1-2 dated 2026-11-02

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Package reactives updated to version 0.1.1 with previous version 0.1.0 dated 2026-10-15

Title: Keyed Collections of 'shiny' Reactives
Description: Holds 'shiny' reactive values and reactive expressions under keys that can be added, removed and reordered, with dependencies tracked per key. The 'shiny' package offers reactiveValues() for keyed stored values, but it can neither remove nor reorder keys, and it has no keyed collection of computed values.
Author: Nicolas Bennett [aut, cre, cph]
Maintainer: Nicolas Bennett <nicolas@cynkra.com>

Diff between reactives versions 0.1.0 dated 2026-10-15 and 0.1.1 dated 2026-11-02

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Package ggmapcn updated to version 0.3.1 with previous version 0.3.0 dated 2025-11-23

Title: Customizable China and Global Map Visualizations
Description: Provides 'ggplot2' layers and annotations for thematic mapping of China and the world. Uses administrative division data from the 'Tianditu' geospatial information service and separate layers for land borders, coastlines, and maritime boundaries. Supports province-, city-, and county-level maps, map projections, graticules, scale bars, north arrows, boundary buffers, and elevation and vegetation raster layers. The package provides default map datasets. Larger data files are hosted in a companion repository <https://github.com/Rimagination/ggmapcn-data> and retrieved as needed.
Author: Liang Ren [aut, cre]
Maintainer: Liang Ren <rl23@mails.tsinghua.edu.cn>

Diff between ggmapcn versions 0.3.0 dated 2025-11-23 and 0.3.1 dated 2026-11-02

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Package CRAFT updated to version 0.4.0 with previous version 0.2.0 dated 2026-10-26

Title: Conditional Regime Analog Forecasting with Trajectories
Description: Tools for Conditional Regime Analog Forecasting with Trajectories. The package builds lag and lead trajectory embeddings, detects regimes with singular value decomposition and changepoint analysis, estimates transition probabilities between regimes, samples future-trajectory analogues, and fits smooth empirical forecast distributions. Random-search hyperparameter tuning ranks candidate models using internal backtests. The tuner supports staged evaluation, shared-computation caching, and deferred fitting of selected models.
Author: Giancarlo Vercellino [aut, cre, cph]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>

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Package AzureStor updated to version 3.7.2 with previous version 3.7.1 dated 2025-08-25

Title: Storage Management in 'Azure'
Description: Manage storage in Microsoft's 'Azure' cloud: <https://azure.microsoft.com/en-us/products/category/storage/>. On the admin side, 'AzureStor' includes features to create, modify and delete storage accounts. On the client side, it includes an interface to blob storage, file storage, and 'Azure Data Lake Storage Gen2': upload and download files and blobs; list containers and files/blobs; create containers; and so on. Authenticated access to storage is supported, via either a shared access key or a shared access signature (SAS). Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

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Package tsmarch updated to version 1.0.3 with previous version 1.0.0 dated 2024-11-18

Title: Multivariate ARCH Models
Description: Feasible Multivariate Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models including Dynamic Conditional Correlation (DCC), Copula GARCH and Generalized Orthogonal GARCH with Generalized Hyperbolic distribution. A review of some of these models can be found in Boudt, Galanos, Payseur and Zivot (2019) <doi:10.1016/bs.host.2019.01.001>.
Author: Alexios Galanos [aut, cre, cph]
Maintainer: Alexios Galanos <alexios@4dscape.com>

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Package iTensor updated to version 1.0.7 with previous version 1.0.6 dated 2026-06-28

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>

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Package taxify (with last version 0.7.0) was removed from CRAN

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

2026-10-27 0.7.0
2026-09-30 0.6.0
2026-09-18 0.5.5
2026-09-02 0.5.0
2026-07-23 0.4.0
2026-07-09 0.3.4
2026-06-30 0.2.12

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

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

2026-10-12 0.2.1
2026-07-27 0.2.0

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Package priorCON updated to version 0.1.9 with previous version 0.1.8 dated 2026-09-26

Title: Graph Community Detection Methods into Systematic Conservation Planning
Description: An innovative tool-set that incorporates graph community detection methods into systematic conservation planning. It is designed to enhance spatial prioritization by focusing on the protection of areas with high ecological connectivity. Unlike traditional approaches that prioritize individual planning units, 'priorCON' focuses on clusters of features that exhibit strong ecological linkages. The 'priorCON' package is built upon the 'prioritizr' package <doi:10.32614/CRAN.package.prioritizr>, using commercial and open-source exact algorithm solvers that ensure optimal solutions to prioritization problems.
Author: Christos Adam [aut, cre] , Aggeliki Doxa [aut] , Nikolaos Nagkoulis [aut] , Maria Papazekou [aut] , Antonios D. Mazaris [aut] , Stelios Katsanevakis [aut]
Maintainer: Christos Adam <econp266@econ.soc.uoc.gr>

Diff between priorCON versions 0.1.8 dated 2026-09-26 and 0.1.9 dated 2026-11-02

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Package litedown updated to version 1.0 with previous version 0.11 dated 2026-08-26

Title: A Lightweight Version of R Markdown
Description: Render R Markdown to Markdown (without using 'knitr'), and Markdown to lightweight HTML or 'LaTeX' documents via the bundled 'cmark-gfm' library (instead of 'Pandoc'). Some missing Markdown features in 'cmark-gfm' are also supported, such as raw HTML or 'LaTeX' blocks, 'LaTeX' math, superscripts, subscripts, footnotes, element attributes, and appendices, but not all 'Pandoc' Markdown features are (or will be) supported. With additional JavaScript and CSS, you can also create HTML slides and articles. This package can be viewed as a trimmed-down version of R Markdown and 'knitr'. It does not aim at rich Markdown features or a large variety of output formats (the primary formats are HTML and 'LaTeX'). Book and website projects of multiple input documents are also supported.
Author: Yihui Xie [aut, cre] , Tim Taylor [ctb] , John MacFarlane [cph] , Jeroen Ooms [ctb, cph] , GitHub, Inc. [cph]
Maintainer: Yihui Xie <xie@yihui.name>

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Package AsyPeer updated to version 0.0.2 with previous version 0.0.1 dated 2026-08-31

Title: Asymmetric Peer Effect Models
Description: Simulating and estimating asymmetric peer effect models (Houndetoungan and Lambotte, 2026 <doi:10.48550/arXiv.2608.09219>). The model nests the widely used linear-in-means model (Manski, 1993 <doi:10.2307/2298123>; Bramoulle et al., 2009 <doi:10.1016/j.jeconom.2008.12.021>) and allows agents to be influenced differently by friends who exert more or less effort than themselves.
Author: Aristide Houndetoungan [aut] , Mathieu Lambotte [cre, aut]
Maintainer: Mathieu Lambotte <mathieu.lambotte@univ-rennes.fr>

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