Mon, 23 Mar 2026

Package nonlinearTseries updated to version 0.3.2 with previous version 0.3.1 dated 2024-09-23

Title: Nonlinear Time Series Analysis
Description: Functions for nonlinear time series analysis. This package permits the computation of the most-used nonlinear statistics/algorithms including generalized correlation dimension, information dimension, largest Lyapunov exponent, sample entropy and Recurrence Quantification Analysis (RQA), among others. Basic routines for surrogate data testing are also included. Part of this work was based on the book "Nonlinear time series analysis" by Holger Kantz and Thomas Schreiber (ISBN: 9780521529020).
Author: Constantino A. Garcia [aut, cre], Gunther Sawitzki [ctb]
Maintainer: Constantino A. Garcia <constantino.garciama@ceu.es>

Diff between nonlinearTseries versions 0.3.1 dated 2024-09-23 and 0.3.2 dated 2026-03-23

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Package MIMER updated to version 1.0.6 with previous version 1.0.5 dated 2026-02-28

Title: Data Wrangling for Antimicrobial Resistance Studies
Description: Designed for analyzing the Medical Information Mart for Intensive Care(MIMIC) dataset, a repository of freely accessible electronic health records. MIMER(MIMIC-enabled Research) package, offers a suite of data wrangling functions tailored specifically for preparing the dataset for research purposes, particularly in antimicrobial resistance(AMR) studies. It simplifies complex data manipulation tasks, allowing researchers to focus on their primary inquiries without being bogged down by wrangling complexities.
Author: Anoop Velluva [aut] , Alessandro Gerada [cre, ctb] , Alexander Howard [ctb]
Maintainer: Alessandro Gerada <alessandro.gerada@liverpool.ac.uk>

Diff between MIMER versions 1.0.5 dated 2026-02-28 and 1.0.6 dated 2026-03-23

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Package dress.graph updated to version 0.6.2 with previous version 0.1.2 dated 2026-02-25

Title: DRESS - A Continuous Framework for Structural Graph Refinement
Description: DRESS is a deterministic, parameter-free framework that iteratively refines the structural similarity of edges in a graph to produce a canonical fingerprint: a real-valued edge vector, obtained by converging a non-linear dynamical system to its unique fixed point. The fingerprint is isomorphism-invariant by construction, guaranteed bitwise-equal across any vertex labeling, numerically stable (no overflow, no error amplification, no undefined behavior), fast and embarrassingly parallel to compute: DRESS total runtime is O(I * m * d_max) for I iterations to convergence, and convergence is guaranteed by Birkhoff contraction.
Author: Eduar Castrillo Velilla [aut, cre]
Maintainer: Eduar Castrillo Velilla <velicast@outlook.com>

Diff between dress.graph versions 0.1.2 dated 2026-02-25 and 0.6.2 dated 2026-03-23

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Package rKolada updated to version 0.3.1 with previous version 0.3.0 dated 2026-03-04

Title: Access Data from the 'Kolada' Database
Description: Methods for downloading and processing data and metadata from 'Kolada', the official Swedish regions and municipalities database <https://www.kolada.se/>.
Author: Love Hansson [aut, cre, cph]
Maintainer: Love Hansson <love.hansson@gmail.com>

Diff between rKolada versions 0.3.0 dated 2026-03-04 and 0.3.1 dated 2026-03-23

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Package RastaRocket updated to version 1.1.3 with previous version 1.1.2 dated 2026-02-26

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

Diff between RastaRocket versions 1.1.2 dated 2026-02-26 and 1.1.3 dated 2026-03-23

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 21 files changed, 1468 insertions(+), 881 deletions(-)

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New package YangHuiMagic with initial version 1.1
Package: YangHuiMagic
Title: A Generalization of Yang Hui's Magic Squares
Version: 1.1
Description: The generalized construction methods for magic squares, inspired by the ancient Chinese mathematician Yang Hui's classical work "Xu Gu Zhai Qi Suan Fa". These methods can construct 4n-order magic squares and 2(2n+1)-order magic squares.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-18 16:19:27 UTC; niech
Author: Chun-Xiao Nie [aut, cre]
Maintainer: Chun-Xiao Nie <niechunxiao2009@163.com>
Repository: CRAN
Date/Publication: 2026-03-23 10:00:22 UTC

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New package wcvpmatch with initial version 0.0.1
Package: wcvpmatch
Title: Taxonomic Name Reconciliation Against the 'WCVP' Backbone
Version: 0.0.1
Description: Standardizes and reconciles scientific plant names against a World Checklist of Vascular Plants ('WCVP')-style taxonomic backbone. The package parses names into taxonomic components and applies staged exact and fuzzy matching for binomial and trinomial inputs, including infraspecific rank-aware checks. It also returns accepted-name context and row-level matching flags to support reproducible, auditable preprocessing for downstream biodiversity, spatial, and trait analyses. A user-supplied backbone can be passed through 'target_df'; when the optional companion package 'wcvpdata' is installed, its default checklist can also be used.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: assertthat, cli, dplyr, fozziejoin, lifecycle, magrittr, memoise, purrr, stringdist, stringr, tibble, tidyr
Depends: R (>= 4.1.0)
LazyData: true
LazyDataCompression: xz
Suggests: rlang (>= 1.0.0), testthat (>= 3.0.0), wcvpdata
Additional_repositories: https://paulesantos.r-universe.dev
URL: https://github.com/PaulESantos/wcvpmatch
BugReports: https://github.com/PaulESantos/wcvpmatch/issues
NeedsCompilation: no
Packaged: 2026-03-18 02:22:55 UTC; PC
Author: Paul Efren Santos Andrade [aut, cre, cph]
Maintainer: Paul Efren Santos Andrade <paulefrens@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-23 09:10:03 UTC

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New package vostokR with initial version 0.2.0
Package: vostokR
Title: Solar Potential Calculation for Point Clouds using 'VOSTOK'
Version: 0.2.0
Date: 2026-02-18
Description: Calculate solar potential for LiDAR point clouds using the 'VOSTOK' (Voxel Octree Solar Toolkit) algorithm. This R program provides an interface to the original 'VOSTOK' C++ implementation by Bechtold and Hofle (2020), enabling efficient ray casting and solar position algorithms to compute solar irradiance for each point while accounting for shadowing effects. Integrates seamlessly with the 'lidR' package for LiDAR data processing workflows. The original 'VOSTOK' toolkit is available at <doi:10.11588/data/QNA02B>.
License: GPL (>= 3)
URL: https://github.com/bi0m3trics/vostokR
BugReports: https://github.com/bi0m3trics/vostokR/issues
Encoding: UTF-8
Imports: Rcpp (>= 1.0.11), lidR (>= 4.0.0), data.table, terra, sf (>= 1.0.0), methods
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-03-18 03:05:54 UTC; ajsm
Author: Andrew J. Sanchez Meador [aut, cre], Sebastian Bechtold [aut] , Bernhard Hofle [aut]
Maintainer: Andrew J. Sanchez Meador <andrew.sanchezmeador@nau.edu>
Repository: CRAN
Date/Publication: 2026-03-23 09:20:02 UTC

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New package theRefdate with initial version 1.0.0
Package: theRefdate
Title: Simple and Fast Date Manipulation on Character Strings in Format 'DD.MM.YYYY'
Version: 1.0.0
Description: Provides simple and fast date manipulation functions operating on character strings in the format 'DD.MM.YYYY'. Functions include extraction of day, month, and year components, computation of differences between two dates, and addition or subtraction of months.
License: LGPL-3
Encoding: UTF-8
Language: de
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-18 11:40:27 UTC; premluers
Author: Prem Lueers [aut, cre]
Maintainer: Prem Lueers <prem@lueers.net>
Repository: CRAN
Date/Publication: 2026-03-23 09:40:02 UTC

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New package plssem with initial version 0.1.0
Package: plssem
Title: Complex Partial Least Squares Structural Equation Modeling
Version: 0.1.0
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>
Description: Estimate complex Structural Equation Models (SEMs) by fitting Partial Least Squares Structural Equation Modeling (PLS-SEM) and Partial Least Squares consistent Structural Equation Modeling (PLSc-SEM) specifications that handle categorical data, non-linear relations, and multilevel structures. The implementation follows Lohmöller (1989) for the classic PLS-SEM algorithm, Dijkstra and Henseler (2015) for consistent PLSc-SEM, Dijkstra et al., (2014) for nonlinear PLSc-SEM, and Schuberth, Henseler, Dijkstra (2018) for ordinal PLS-SEM and PLSc-SEM. Additional extensions are under development. References: Lohmöller, J.-B. (1989, ISBN:9783790803002). "Latent Variable Path Modeling with Partial Least Squares." Dijkstra, T. K., & Henseler, J. (2015). <doi:10.1016/j.jmva.2015.06.002>. "Consistent partial least squares path modeling." Dijkstra, T. K., & Schermelleh-Engel, K. (2014). <doi:10.1016/j.csda.2014.07.008>. "Consistent partial least squares for nonlinear structural eq [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, modsem (>= 1.0.17), lme4, lavaan, cli, stringr, purrr, matrixStats, SimDesign, Rfast, collapse, mvnfast, reformulas
Depends: R (>= 4.1.0)
URL: https://github.com/kss2k/plssem
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-18 11:49:23 UTC; kss
Author: Kjell Solem Slupphaug [aut, cre]
Repository: CRAN
Date/Publication: 2026-03-23 09:40:06 UTC

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Package NlinTS updated to version 1.4.7 with previous version 1.4.6 dated 2025-12-16

Title: Models for Non Linear Causality Detection in Time Series
Description: Models for non-linear time series analysis and causality detection. The main functionalities of this package consist of an implementation of the classical causality test (C.W.J.Granger 1980) <doi:10.1016/0165-1889(80)90069-X>, and a non-linear version of it based on feed-forward neural networks. This package contains also an implementation of the Transfer Entropy <doi:10.1103/PhysRevLett.85.461>, and the continuous Transfer Entropy using an approximation based on the k-nearest neighbors <doi:10.1103/PhysRevE.69.066138>. There are also some other useful tools, like the VARNN (Vector Auto-Regressive Neural Network) prediction model, the Augmented test of stationarity, and the discrete and continuous entropy and mutual information.
Author: Youssef Hmamouche [aut, cre]
Maintainer: Youssef Hmamouche <hmamoucheyussef@gmail.com>

Diff between NlinTS versions 1.4.6 dated 2025-12-16 and 1.4.7 dated 2026-03-23

 DESCRIPTION                |    8 ++++----
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 14 files changed, 70 insertions(+), 71 deletions(-)

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New package MultiResponseR with initial version 1.4.1
Package: MultiResponseR
Title: Analysis of Data from Multiple-Response Questionnaires
Version: 1.4.1
Description: Provides a multiple-response chi-square framework for the analysis of contingency tables arising from multiple-response questionnaires, such as check-all-that-apply tasks, where response options are crossed with a known grouping factor. The framework accommodates within-block (e.g., within-subject) designs, as commonly encountered in sensory evaluation. It comprises a multiple-response chi-square test of homogeneity with an associated dimensionality test, a multiple-response Correspondence Analysis (CA), and per-cell multiple-response hypergeometric tests. These methods extend their classical counterparts by grounding inference in a null model that properly accounts for the multiple-response nature of the data, treating evaluations, rather than individual citations, as the experimental units, yielding more statistically valid conclusions than standard contingency table analyses. Details may be found in Mahieu, Schlich, Visalli, and Cardot (2021). <doi:10.1016/j.foodqual.2021.104256& [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: false
Depends: R (>= 4.5.0)
Imports: flextable, officer, ggplot2, ggrepel, ellipse, stats, utils
NeedsCompilation: no
Packaged: 2026-03-18 13:46:29 UTC; benjamin.mahieu
Author: Benjamin Mahieu [aut, cre]
Maintainer: Benjamin Mahieu <benjamin.mahieu@oniris-nantes.fr>
Repository: CRAN
Date/Publication: 2026-03-23 09:40:12 UTC

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New package mstATA with initial version 0.1.0
Package: mstATA
Title: Automated Test Assembly for Multistage Tests Using Mixed-Integer Linear Programming
Version: 0.1.0
Description: Provides a suite of mixed-integer linear programming (MILP) model builders and solvers—including 'Gurobi', 'HiGHS', 'Symphony', 'GNU Linear Programming Kit (GLPK)', and 'lpSolve'—for automated test assembly (ATA) in multistage testing (MST). Offers filtering of decision variables through item–module eligibility and the application of explicit bounds to simplify the MILP model and accelerate the optimization process. Supports bottom up, top down, and hybrid assembly strategies; enemy-item and enemy-stimulus exclusions; stimulus all in/all out or partial selection; anchor item/stimulus specification; and item exposure control. Accommodates both single-objective and multi-objective optimization ('weighted sum', 'maximin', 'capped maximin', 'minimax', and 'goal programming'). Enables simultaneous assembly of multiple panels with item and stimulus content balancing and exposure control. Provides analytical evaluation of assembled MST performance within seconds. Includes tools for diagnosing [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
LazyData: true
Imports: stats, utils, dplyr, rlang, methods, Matrix, ggplot2
Suggests: testthat (>= 3.0.0),knitr,rmarkdown, kableExtra,highs,lpSolveAPI,Rglpk,Rsymphony,irtQ,mstR,numDeriv,ggformula,ggpubr
VignetteBuilder: knitr
URL: https://github.com/Hongchen030/mstATA
BugReports: https://github.com/Hongchen030/mstATA/issues
NeedsCompilation: no
Packaged: 2026-03-18 15:24:07 UTC; hongchen
Author: Hong Chen [aut, cre]
Maintainer: Hong Chen <hongchen030@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-23 10:00:02 UTC

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New package fdid with initial version 1.0.2
Package: fdid
Title: Factorial Difference-in-Differences
Version: 1.0.2
Date: 2026-03-18
Description: Implements the factorial difference-in-differences (FDID) framework for panel data settings where all units are exposed to a universal event but vary in a baseline factor G. Provides support for various estimators; supports robust, bootstrap, and jackknife variance; returns dynamic, pre/event/post aggregates and raw means; and includes helpers for data preparation and plotting. Methodology follows Xu, Zhao and Ding (2026) <doi:10.1080/01621459.2026.2628343>.
URL: https://yiqingxu.org/packages/fdid/, https://github.com/xuyiqing/fdid
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: estimatr, dplyr, tidyr, rlang, tidyselect, RColorBrewer, foreach, doFuture, future, ebal, grf, car, sandwich
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.6.0)
NeedsCompilation: no
Packaged: 2026-03-18 05:33:27 UTC; yiqingxu
Author: Yiqing Xu [aut, cre], Rivka Lipkovitz [aut], Enhan Liu [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>
Repository: CRAN
Date/Publication: 2026-03-23 09:20:07 UTC

More information about fdid at CRAN
Permanent link

New package dtlscores with initial version 0.1.0
Package: dtlscores
Title: Scrape Deutsche Turnliga Archive
Version: 0.1.0
Description: Provides helper functions to scrape the online archive of the Deutsche Turnliga <https://www.deutsche-turnliga.de/archiv.html>. Also included is data of one competition and one matchday as test data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rvest
Suggests: testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-18 10:11:42 UTC; julian
Author: Julian Grimm [aut, cre]
Maintainer: Julian Grimm <grimmjulian225@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-23 09:30:02 UTC

More information about dtlscores at CRAN
Permanent link

New package dhmeasures with initial version 1.0
Package: dhmeasures
Title: Digital History Measures
Version: 1.0
Maintainer: Steph Buongiorno <steph.buon@gmail.com>
Description: Provides statistical functions to aid in the analysis of contemporary and historical corpora. These transparent functions may be useful to anyone, and were designed with the social sciences and humanities in mind. JSD (Jensen-Shannon Divergence) is a measure of the distance between two probability distributions. The JSD and Original JSD functions expand on existing functions, by calculating the JSD for distributions of words in text groups for all pairwise groups provided (Drost (2018) <doi:10.21105/joss.00765>). The Log Likelihood function is inspired by the work of digital historian Jo Guldi (Guldi (2022) <https://github.com/joguldi/digital-history>). Also includes helper functions that can count word frequency in each text grouping, and remove stop words.
URL: https://github.com/stephbuon/dhmeasures
BugReports: https://github.com/stephbuon/dhmeasures/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp (>= 1.0.9), dplyr, tidytext
LinkingTo: Rcpp
LazyData: true
Depends: R (>= 3.5.0)
NeedsCompilation: yes
Packaged: 2026-03-18 14:17:34 UTC; stephbuongiorno
Author: Ryan Schaefer [aut] , Steph Buongiorno [aut, cre]
Repository: CRAN
Date/Publication: 2026-03-23 09:50:02 UTC

More information about dhmeasures at CRAN
Permanent link

Package corrselect updated to version 3.2.1 with previous version 3.1.0 dated 2026-01-08

Title: Correlation-Based and Model-Based Predictor Pruning
Description: Provides functions for predictor pruning using association-based and model-based approaches. Includes corrPrune() for fast correlation-based pruning, modelPrune() for VIF-based regression pruning, and exact graph-theoretic algorithms (Eppstein–Löffler–Strash, Bron–Kerbosch) for exhaustive subset enumeration. Supports linear models, GLMs, and mixed models ('lme4', 'glmmTMB').
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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 corrselect-3.2.1/corrselect/DESCRIPTION                                                                            |   15 
 corrselect-3.2.1/corrselect/MD5                                                                                    |  223 
 corrselect-3.2.1/corrselect/NAMESPACE                                                                              |   13 
 corrselect-3.2.1/corrselect/NEWS.md                                                                                |   18 
 corrselect-3.2.1/corrselect/R/CorrCombo.R                                                                          |  427 -
 corrselect-3.2.1/corrselect/R/MatSelect.R                                                                          |    9 
 corrselect-3.2.1/corrselect/R/assocSelect.R                                                                        |    5 
 corrselect-3.2.1/corrselect/R/corrSelect.R                                                                         |    3 
 corrselect-3.2.1/corrselect/R/corrSubset.R                                                                         |   12 
 corrselect-3.2.1/corrselect/R/corrselect-package.R                                                                 |    2 
 corrselect-3.2.1/corrselect/R/zzz.R                                                                                |only
 corrselect-3.2.1/corrselect/README.md                                                                              |   32 
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 corrselect-3.2.1/corrselect/man/CorrCombo.Rd                                                                       |   84 
 corrselect-3.2.1/corrselect/man/assocSelect.Rd                                                                     |    2 
 corrselect-3.2.1/corrselect/man/corrSubset.Rd                                                                      |    6 
 corrselect-3.2.1/corrselect/man/corrselect-package.Rd                                                              |    4 
 corrselect-3.2.1/corrselect/tests/testthat/test-CorrCombo.R                                                        |  990 +-
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 corrselect-3.2.1/corrselect/tests/testthat/test-corrMatSelect-els.R                                                |   16 
 corrselect-3.2.1/corrselect/tests/testthat/test-corrPrune.R                                                        | 3240 ++++----
 corrselect-3.2.1/corrselect/tests/testthat/test-corrSelect.R                                                       | 1906 ++--
 corrselect-3.2.1/corrselect/tests/testthat/test-corrSubset.R                                                       |  360 
 corrselect-3.2.1/corrselect/tests/testthat/test-modelPrune.R                                                       | 3910 +++++-----
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 corrselect-3.2.1/corrselect/vignettes/comparison.Rmd                                                               | 1211 +--
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 corrselect-3.2.1/corrselect/vignettes/theory.Rmd                                                                   | 3112 ++++---
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Package TMB updated to version 1.9.21 with previous version 1.9.20 dated 2026-03-17

Title: Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'
Description: With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.
Author: Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug [ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen [ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie Brooks [ctb], Alex Forrence [ctb], Christoffer Moesgaard Albertsen [...truncated...]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

Diff between TMB versions 1.9.20 dated 2026-03-17 and 1.9.21 dated 2026-03-23

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Package spicy updated to version 0.6.0 with previous version 0.5.0 dated 2026-03-14

Title: Descriptive Statistics and Data Management Tools
Description: Provides tools for descriptive data analysis, variable inspection, and quick tabulation workflows in 'R'. Summarizes variable metadata, labels, classes, missing values, and representative values, with support for readable frequency tables, cross-tabulations, association measures for contingency tables (Cramer's V, Phi, Goodman-Kruskal Gamma, Kendall's Tau-b, Somers' D, and others), and APA-style reporting tables. Includes helpers for interactive codebooks, variable label extraction, clipboard export, and row-wise descriptive summaries. Designed to make descriptive analysis faster, clearer, and easier to work with in practice.
Author: Amal Tawfik [aut, cre, cph]
Maintainer: Amal Tawfik <amal.tawfik@hesav.ch>

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Package spatstat.geom updated to version 3.7-3 with previous version 3.7-2 dated 2026-03-21

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Warick Brown [ctb], Tilman Davies [ctb], Ute Hahn [ctb], Martin Hazelton [ctb], Abdollah Jalilian [ctb], Greg McSwiggan [ctb, cph], Sebastian Meyer [ctb, cph], Jens Oeh [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package SafeVote updated to version 1.0.2 with previous version 1.0.1 dated 2024-10-05

Title: Election Vote Counting with Safety Features
Description: Fork of 'vote_2.3-2', Raftery et al. (2021) <DOI:10.32614/RJ-2021-086>, with additional support for stochastic experimentation.
Author: Clark Thomborson [cre, aut]
Maintainer: Clark Thomborson <c.thomborson@auckland.ac.nz>

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Package ragg updated to version 1.5.2 with previous version 1.5.1 dated 2026-03-06

Title: Graphic Devices Based on AGG
Description: Anti-Grain Geometry (AGG) is a high-quality and high-performance 2D drawing library. The 'ragg' package provides a set of graphic devices based on AGG to use as alternative to the raster devices provided through the 'grDevices' package.
Author: Thomas Lin Pedersen [cre, aut] , Maxim Shemanarev [aut, cph] , Tony Juricic [ctb, cph] , Milan Marusinec [ctb, cph] , Spencer Garrett [ctb] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between ragg versions 1.5.1 dated 2026-03-06 and 1.5.2 dated 2026-03-23

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Package omock updated to version 0.6.2 with previous version 0.6.1 dated 2026-02-03

Title: Creation of Mock Observational Medical Outcomes Partnership Common Data Model
Description: Creates mock data for testing and package development for the Observational Medical Outcomes Partnership common data model. The package offers functions crafted with pipeline-friendly implementation, enabling users to effortlessly include only the necessary tables for their testing needs.
Author: Mike Du [aut, cre] , Marti Catala [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Xihang Chen [aut]
Maintainer: Mike Du <mike.du@ndorms.ox.ac.uk>

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Package LikertMakeR updated to version 2.0.0 with previous version 1.4.0 dated 2026-02-11

Title: Synthesise and Correlate Likert Scale and Rating-Scale Data Based on Summary Statistics
Description: Generate and correlate synthetic Likert and rating-scale questionnaire responses with predefined means, standard deviations, Cronbach's Alpha, Factor Loading table, coefficients, and other summary statistics. It can be used to simulate Likert data, construct multi-item scales, generate correlation matrices, and create example survey datasets for teaching statistics, psychometrics, and methodological research. Worked examples and documentation are available in the package articles, accessible via the package website, <https://winzarh.github.io/LikertMakeR/>.
Author: Hume Winzar [cre, aut]
Maintainer: Hume Winzar <winzar@gmail.com>

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Package delimtools readmission to version 0.2.2 with previous version 0.2.1 dated 2025-09-29

Title: Helper Functions for Species Delimitation Analysis
Description: Helpers functions to process, analyse, and visualize the output of single locus species delimitation methods. For full functionality, please install suggested software at <https://legallab.github.io/delimtools/articles/install.html>.
Author: Pedro Bittencourt [aut, cre, cph] , Rupert Collins [aut, ctb, cph] , Tomas Hrbek [aut, ctb]
Maintainer: Pedro Bittencourt <pedro.sennabittencourt@gmail.com>

This is a re-admission after prior archival of version 0.2.1 dated 2025-09-29

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Package btw updated to version 1.2.1 with previous version 1.2.0 dated 2026-03-16

Title: A Toolkit for Connecting R and Large Language Models
Description: A complete toolkit for connecting 'R' environments with Large Language Models (LLMs). Provides utilities for describing 'R' objects, package documentation, and workspace state in plain text formats optimized for LLM consumption. Supports multiple workflows: interactive copy-paste to external chat interfaces, programmatic tool registration with 'ellmer' chat clients, batteries-included chat applications via 'shinychat', and exposure to external coding agents through the Model Context Protocol. Project configuration files enable stable, repeatable conversations with project-specific context and preferred LLM settings.
Author: Garrick Aden-Buie [aut, cre] , Simon Couch [aut] , Joe Cheng [aut], Posit Software, PBC [cph, fnd], Google [cph] , Microsoft [cph] , Jamie Perkins [cph]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>

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Package avesperu updated to version 0.1.0 with previous version 0.0.8 dated 2026-01-08

Title: Access to the List of Bird Species of Peru
Description: Provides access to the species checklist published in 'List of the Birds of Peru' by Plenge, M. A. and Angulo, F. (version 29-12-2025) <https://sites.google.com/site/boletinunop/checklist>. The package exposes the current Peru bird checklist as an R dataset and includes tools for species lookup, taxonomic reconciliation, and fuzzy matching of scientific names. These features help streamline taxonomic validation for researchers and conservationists.
Author: Paul E. Santos Andrade [aut, cre, cph]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>

Diff between avesperu versions 0.0.8 dated 2026-01-08 and 0.1.0 dated 2026-03-23

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Package AV1R updated to version 0.1.3 with previous version 0.1.2 dated 2026-03-05

Title: 'AV1' Video Encoding for Biological Microscopy Data
Description: Converts legacy microscopy video formats (H.264/H.265, AVI/MJPEG, TIFF stacks) to the modern 'AV1' codec with minimal quality loss. Typical use cases include compressing large TIFF stacks from confocal microscopy and time-lapse experiments from hundreds of gigabytes to manageable sizes, re-encoding MP4 files exported from 'CellProfiler', 'ImageJ'/'Fiji', and microscope software with approximately 2x better compression at the same visual quality, and converting legacy AVI (MJPEG) and H.265 recordings to a single patent-free format suited for long-term archival. Automatically selects the best available backend: GPU hardware acceleration via 'Vulkan' 'VK_KHR_VIDEO_ENCODE_AV1' or 'VAAPI' (tested on AMD RDNA4; bundled headers, builds with any 'Vulkan' SDK >= 1.3.275), with automatic fallback to CPU encoding through 'FFmpeg' and 'SVT-AV1'. User controls quality via a single CRF parameter; each backend adapts automatically (CPU and Vulkan use CRF directly, VAAPI targets 55 percent of input [...truncated...]
Author: Yuri Baramykov [aut, cre]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

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Package uaparserjs updated to version 0.3.6 with previous version 0.3.5 dated 2020-05-11

Title: Parse 'User-Agent' Strings
Description: Despite there being a section in RFC 7231 <https://datatracker.ietf.org/doc/html/rfc7231#section-5.5.3> defining a suggested structure for 'User-Agent' headers this data is notoriously difficult to parse consistently. Tools are provided that will take in user agent strings and return structured R objects. This is a 'V8'-backed package based on the 'ua-parser' project <https://github.com/ua-parser>.
Author: Bob Rudis [aut, cph], Greg Hunt [aut, cre, cph], Lindsey Simon [aut] , Tobie Langel [aut] , Colman Humphrey [ctb]
Maintainer: Greg Hunt <greg@firmansyah.com>

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Package Rbearcat updated to version 0.2.2 with previous version 0.2.1 dated 2026-03-21

Title: University of Cincinnati Themes and Utilities for Econometrics and Data Science
Description: Provides plotting helpers, table-formatting utilities, and report templates for econometrics, model development, and applied data analysis. Includes University of Cincinnati branded themes for 'ggplot2', 'modelsummary', 'flextable', 'rmarkdown', 'bookdown', and 'quarto'.
Author: Saannidhya Rawat [aut, cre]
Maintainer: Saannidhya Rawat <rawatsa@mail.uc.edu>

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Package ProbeDeveloper updated to version 1.1.1 with previous version 1.1.0 dated 2022-01-30

Title: Develop Hybridization Probes
Description: Hybridization probes for target sequences can be made based on melting temperature value calculated by R package 'TmCalculator' <https://CRAN.R-project.org/package=TmCalculator> and methods extended from Beliveau, B. J.,(2018) <doi:10.1073/pnas.1714530115>, and those hybridization probes can be used to capture specific target regions in fluorescence in situ hybridization and next generation sequence experiments.
Author: Junhui Li [cre, aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

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Package netseer updated to version 0.1.3 with previous version 0.1.2 dated 2025-09-10

Title: Graph Prediction from a Graph Time Series
Description: Predicting the structure of a graph including new nodes and edges using a time series of graphs. Flux balance analysis, a linear and integer programming technique used in biochemistry is used with time series prediction methods to predict the graph structure at a future time point Kandanaarachchi (2025) <doi:10.48550/arXiv.2507.05806>.
Author: Sevvandi Kandanaarachchi [aut, cre] , Stefan Westerlund [aut]
Maintainer: Sevvandi Kandanaarachchi <sevvandik@gmail.com>

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Package graphpcor readmission to version 0.1.24 with previous version 0.1.15 dated 2026-01-15

Title: Models for Correlation Matrices Based on Graphs
Description: Implement some models for correlation/covariance matrices including two approaches to model correlation matrices from a graphical structure. One use latent parent variables as proposed in Sterrantino et. al. (2024) <doi:10.1007/s10260-025-00788-y>. The other uses a graph to specify conditional relations between the variables. The graphical structure makes correlation matrices interpretable and avoids the quadratic increase of parameters as a function of the dimension. In the first approach a natural sequence of simpler models along with a complexity penalization is used. The second penalizes deviations from a base model. These can be used as prior for model parameters, considering C code through the 'cgeneric' interface for the 'INLA' package (<https://www.r-inla.org>). This allows one to use these models as building blocks combined and to other latent Gaussian models in order to build complex data models.
Author: Elias Teixeira Krainski [cre, aut, cph] , Denis Rustand [aut, cph] , Anna Freni-Sterrantino [aut, cph] , Janet van Niekerk [aut, cph] , Haavard Rue’ [aut]
Maintainer: Elias Teixeira Krainski <eliaskrainski@gmail.com>

This is a re-admission after prior archival of version 0.1.15 dated 2026-01-15

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

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

2022-10-11 0.1.0

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Package cycleTrendR (with last version 0.3.0) was removed from CRAN

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

2026-01-26 0.3.0
2026-01-22 0.2.0

Permanent link
Package TSP updated to version 1.2.7 with previous version 1.2.6 dated 2025-11-27

Title: Infrastructure for the Traveling Salesperson Problem
Description: Basic infrastructure and some algorithms for the traveling salesperson problem (also traveling salesman problem; TSP). The package provides some simple algorithms and an interface to the Concorde TSP solver and its implementation of the Chained-Lin-Kernighan heuristic. The code for Concorde itself is not included in the package and has to be obtained separately. Hahsler and Hornik (2007) <doi:10.18637/jss.v023.i02>.
Author: Michael Hahsler [aut, cre, cph] , Kurt Hornik [aut, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package ggpmisc updated to version 0.7.0 with previous version 0.6.3 dated 2025-11-29

Title: Miscellaneous Extensions to 'ggplot2'
Description: Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Statistics to locate and tag peaks and valleys and to label plots with the equation of a fitted polynomial model by ordinary least squares, major axis, quantile and robust and resistant regression approaches. Line and model equation for Normal mixture models. Labels for P-value, R^2 or adjusted R^2 or information criteria for fitted models; parametric and non-parametric correlation; ANOVA table or summary table for fitted models as plot insets; annotations for multiple pairwise comparisons with adjusted P-values. Model fit classes for which suitable methods are provided by package 'broom' and 'broom.mixed' are supported as well as user-defined wrappers on model fit functions, allowing model selection and conditional labelling. Scales and stats to build volcano and quadrant plots based on outcomes, fold changes, p-values and false discovery rates.
Author: Pedro J. Aphalo [aut, cre] , Kamil Slowikowski [ctb] , Samer Mouksassi [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

Diff between ggpmisc versions 0.6.3 dated 2025-11-29 and 0.7.0 dated 2026-03-23

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 ggpmisc-0.7.0/ggpmisc/NEWS.md                                                                                  |   53 
 ggpmisc-0.7.0/ggpmisc/R/ggpmisc.R                                                                              |   59 
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 ggpmisc-0.7.0/ggpmisc/R/stat-distrmix-line.R                                                                   |   21 
 ggpmisc-0.7.0/ggpmisc/R/stat-fit-broom-tb.R                                                                    |   38 
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 ggpmisc-0.7.0/ggpmisc/R/stat-fit-residuals.R                                                                   |  180 -
 ggpmisc-0.7.0/ggpmisc/R/stat-ma-eq.R                                                                           |   63 
 ggpmisc-0.7.0/ggpmisc/R/stat-ma-line.R                                                                         |   55 
 ggpmisc-0.7.0/ggpmisc/R/stat-multcomp.R                                                                        |   43 
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 ggpmisc-0.7.0/ggpmisc/R/stat-quant-band.r                                                                      |   18 
 ggpmisc-0.7.0/ggpmisc/R/stat-quant-eq.R                                                                        |   63 
 ggpmisc-0.7.0/ggpmisc/R/stat-quant-line.r                                                                      |  107 
 ggpmisc-0.7.0/ggpmisc/R/stat-spikes.R                                                                          |    2 
 ggpmisc-0.7.0/ggpmisc/R/utilities-eq-label.R                                                                   |   52 
 ggpmisc-0.7.0/ggpmisc/R/utilities-fm.R                                                                         |  329 ++
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 ggpmisc-0.7.0/ggpmisc/man/sprintf_dm.Rd                                                                        |    2 
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 ggpmisc-0.7.0/ggpmisc/man/swap_xy.Rd                                                                           |   16 
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More information about ggpmisc at CRAN
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Package filearray updated to version 0.2.1 with previous version 0.2.0 dated 2025-04-01

Title: File-Backed Array for Out-of-Memory Computation
Description: Stores large arrays in files to avoid occupying large memories. Implemented with super fast gigabyte-level multi-threaded reading/writing via 'OpenMP'. Supports multiple non-character data types (double, float, complex, integer, logical, and raw).
Author: Zhengjia Wang [aut, cre, cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

Diff between filearray versions 0.2.0 dated 2025-04-01 and 0.2.1 dated 2026-03-23

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 14 files changed, 101 insertions(+), 34 deletions(-)

More information about filearray at CRAN
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