Mon, 23 Mar 2026

Package pedbp updated to version 2.1.0 with previous version 2.0.3 dated 2025-06-12

Title: Pediatric Blood Pressure
Description: Data and utilities for estimating pediatric blood pressure percentiles by sex, age, and optionally height (stature) as described in Martin et al. (2022) <doi:10.1001/jamanetworkopen.2022.36918>. Blood pressure percentiles for children under one year of age come from Gemelli et al. (1990) <doi:10.1007/BF02171556>. Estimates of blood pressure percentiles for children at least one year of age are informed by data from the National Heart, Lung, and Blood Institute (NHLBI) and the Centers for Disease Control and Prevention (CDC) <doi:10.1542/peds.2009-2107C> or from Lo et al. (2013) <doi:10.1542/peds.2012-1292>. The source-selection flowchart comes from Martin et al. (2022) <doi:10.1542/hpeds.2021-005998>.
Author: Peter DeWitt [aut, cre] , Blake Martin [ctb] , David Albers [ctb] , Tell Bennett [ctb]
Maintainer: Peter DeWitt <peter.dewitt@cuanschutz.edu>

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Package NBDCtools updated to version 1.1.0 with previous version 1.0.2 dated 2025-10-05

Title: National Institutes of Health Brain Development Cohorts Data Hub Tools
Description: A suite of functions to work with data from the National Institutes of Health Brain Development Cohorts Data Hub. The package provides tools to create, clean, process, and filter datasets and associated metadata. These utilities are intended to simplify reproducible data-preparation for future research.
Author: Le Zhang [aut, cre] , Janosch Linkersdoerfer [aut]
Maintainer: Le Zhang <dairc.service@gmail.com>

Diff between NBDCtools versions 1.0.2 dated 2025-10-05 and 1.1.0 dated 2026-03-23

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Package mRc updated to version 0.1.1 with previous version 0.1.0 dated 2023-08-28

Title: Multi-Visit Closed Population Mark-Recapture Estimates
Description: Compute bootstrap confidence intervals for the adjusted Schnabel and Schumacher-Eschmeyer multi-visit mark-recapture estimators based on Dettloff (2023) <doi:10.1016/j.fishres.2023.106756>.
Author: Kyle Dettloff [aut, cre, cph]
Maintainer: Kyle Dettloff <kyle.dettloff@noaa.gov>

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Package alcoholSurv updated to version 0.7.2 with previous version 0.7.0 dated 2025-05-27

Title: Light Daily Alcohol and Longevity
Description: Contains data from an observational study concerning possible effects of light daily alcohol consumption on survival and on HDL cholesterol. It also replicates various simple analyses in Rosenbaum (2025) <doi:10.1080/09332480.2025.2473291>. Finally, it includes new R code in wgtRankCef() that implements and replicates a new method for constructing evidence factors in observational block designs in Rosenbaum (2026) <doi:10.1080/01621459.2026.2624858>).
Author: Paul Rosenbaum [aut, cre]
Maintainer: Paul Rosenbaum <rosenbaum@wharton.upenn.edu>

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Package tinyVAST updated to version 1.5.0 with previous version 1.4.0 dated 2025-12-20

Title: Multivariate Spatio-Temporal Models using Structural Equations
Description: Fits a wide variety of multivariate spatio-temporal models with simultaneous and lagged interactions among variables (including vector autoregressive spatio-temporal ('VAST') dynamics) for areal, continuous, or network spatial domains. It includes time-variable, space-variable, and space-time-variable interactions using dynamic structural equation models ('DSEM') as expressive interface, and the 'mgcv' package to specify splines via the formula interface. See Thorson et al. (2025) <doi:10.1111/geb.70035> for more details.
Author: James T. Thorson [aut, cre] , Sean C. Anderson [aut]
Maintainer: James T. Thorson <James.Thorson@noaa.gov>

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Package tidyBdE updated to version 0.6.0 with previous version 0.5.0 dated 2026-01-13

Title: Download Data from Bank of Spain
Description: Tools to download data series from 'Banco de España' ('BdE') on 'tibble' format. 'Banco de España' is the national central bank and, within the framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the Spanish banking system along with the European Central Bank. This package is in no way sponsored endorsed or administered by 'Banco de España'.
Author: Diego H. Herrero [aut, cre, cph]
Maintainer: Diego H. Herrero <dev.dieghernan@gmail.com>

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Package csdm updated to version 1.0.1 with previous version 1.0.0 dated 2026-02-20

Title: Cross-Sectional Dependence Models
Description: Provides estimators and utilities for large panel-data models with cross-sectional dependence, including mean group (MG), common correlated effects (CCE) and dynamic CCE (DCCE) estimators, and cross-sectionally augmented ARDL (CS-ARDL) specifications, plus related inference and diagnostics.
Author: Joao Claudio Macosso [aut, cre]
Maintainer: Joao Claudio Macosso <joaoclaudiomacosso@gmail.com>

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Package colourspace updated to version 0.1.1 with previous version 0.0.1 dated 2026-03-04

Title: Convert from One Colour Space to Another, Print a Ready-to-Paste Modern 'CSS' Syntax
Description: Provides a comprehensive 'API' for colour conversion between popular colour spaces ('RGB', 'HSL', 'OKLab', 'OKLch', 'hex', and named colours) along with clean, modern 'CSS' Color Level 4 syntax output. Integrates seamlessly into 'Shiny' and 'Quarto' workflows. Includes nearest colour name lookup powered by a curated database of over 30,000 colour names. 'OKLab'/'OKLCh' colour spaces are described in Ottosson (2020) <https://bottosson.github.io/posts/oklab/>. 'CSS' Color Level 4 syntax follows the W3C specification <https://www.w3.org/TR/css-color-4/>.
Author: Yann Cohen [aut, cre]
Maintainer: Yann Cohen <yannco5@gmail.com>

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Package climaemet updated to version 1.5.1 with previous version 1.5.0 dated 2026-01-11

Title: Climate AEMET Tools
Description: Tools to download the climatic data of the Spanish Meteorological Agency (AEMET) directly from R using their API and create scientific graphs (climate charts, trend analysis of climate time series, temperature and precipitation anomalies maps, warming stripes graphics, climatograms, etc.).
Author: Manuel Pizarro [aut, cph] , Diego Hernangomez [aut, cre] , Gema Fernandez-Aviles [aut] , AEMET [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package shidashi updated to version 0.1.8 with previous version 0.1.6 dated 2024-02-16

Title: A Shiny Dashboard Template Modular System with Chat Bot Support
Description: A template dashboard system with AI agent integrated. Comes with default themes that can be customized. Developers can upload modified templates on 'Github', and users can easily download templates with 'RStudio' project wizard. The key features of the default template include light and dark theme switcher, resizing graphs, synchronizing inputs across sessions, new notification system, fancy progress bars, and card-like flip panels with back sides, as well as various of 'HTML' tool widgets.
Author: Zhengjia Wang [cph, aut, cre] , ColorlibHQ [cph] , Bootstrap contributors [ctb] , Twitter, Inc [cph] , Ivan Sagalaev [ctb, cph] , Rene Haas [ctb, cph] , Zeno Rocha [ctb, cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

Diff between shidashi versions 0.1.6 dated 2024-02-16 and 0.1.8 dated 2026-03-23

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New package tidyttmoment with initial version 0.0.5
Package: tidyttmoment
Title: Functional Trait Moment Calculation
Version: 0.0.5
Depends: R (>= 4.1.0)
Description: Calculates the community four 'moments' (mean, variance, skewness, and kurtosis) of a given trait based on the moments described in Wieczynski et al. (2019) <doi:10.1073/pnas.1813723116>. These functional metrics are extremely useful in characterizing the distribution of traits in a plant community. It also provides tidyverse-friendly wrappers to seamlessly calculate advanced functional diversity indices (e.g., FDis, Rao's Q) using 'fundiversity' (Grenie et al. 2023 <doi:10.1111/ecog.06585>) and functional rarity indices using 'funrar' (Grenie et al. 2017 <doi:10.1111/ddi.12629>). Evaluating these community-weighted moments and diversity metrics allows researchers to evaluate shifts in optimal phenotypes and understand ecological filtering with exactness.
License: MIT + file LICENSE
Suggests: covr, testthat (>= 3.1.5)
Encoding: UTF-8
URL: https://github.com/PaulESantos/tidyttmoment, https://paulesantos.github.io/tidyttmoment/
BugReports: https://github.com/PaulESantos/tidyttmoment/issues
Imports: cli, dplyr, lifecycle, tidyr, fundiversity, funrar, rlang, tibble
NeedsCompilation: no
Packaged: 2026-03-19 04:11:25 UTC; PC
Author: Paul Efren Santos Andrade [aut, cre] , Macroecology Lab [cph, fnd]
Maintainer: Paul Efren Santos Andrade <paulefrens@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-23 17:20:02 UTC

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New package tflmetaR with initial version 0.1.5
Package: tflmetaR
Title: Manage Annotation Metadata in Statistical Outputs
Version: 0.1.5
Description: Provides functions to retrieve headers, titles, and footnotes from structured metadata sources (e.g., Excel or CSV files) for annotating tables, listings, and figures in clinical study reports (CSRs) or other formal deliverables. It supports separation of metadata from analysis code in clinical reporting workflows.
License: Apache License (>= 2.0)
Depends: R (>= 4.1.0)
Imports: jsonlite, readxl, writexl
Suggests: dplyr, gridify, gt, haven, knitr, mockery (>= 0.3.0), rmarkdown, survival, survminer, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-13 20:24:06 UTC; e643795
Author: Amber Wu [aut], Gary Cao [aut], Lan Cheng [aut], Yao Lu [aut, cre], UCB S.A., Belgium [cph, fnd]
Maintainer: Yao Lu <yao.lu@ucb.com>
Repository: CRAN
Date/Publication: 2026-03-23 17:50:02 UTC

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New package taxodist with initial version 0.1.0
Package: taxodist
Title: Taxonomic Distance and Phylogenetic Lineage Computation
Version: 0.1.0
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>
Description: Computes phylogenetic distances between any two taxa using hierarchical lineage data retrieved from The Taxonomicon <http://taxonomicon.taxonomy.nl>, a comprehensive curated classification of all life based on Systema Naturae 2000 (Brands, 1989 <http://taxonomicon.taxonomy.nl>). Given any two taxon names, retrieves their full lineages, identifies the most recent common ancestor (MRCA), and computes a dissimilarity index based on the depth of the most recent common ancestor. Supports individual distance queries, pairwise distance matrices, clade filtering, and lineage utilities.
Language: en-US
License: GPL-3
URL: https://github.com/rodrigosqrt3/taxodist
BugReports: https://github.com/rodrigosqrt3/taxodist/issues
Encoding: UTF-8
SystemRequirements: internet access
Depends: R (>= 4.1.0)
Imports: httr (>= 1.4.0), rvest (>= 1.0.0), stringr (>= 1.4.0), purrr (>= 0.3.0), cli (>= 3.0.0), utils, stats
Suggests: testthat (>= 3.0.0), mockery, knitr, rmarkdown, xml2, ape
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-19 14:34:19 UTC; rodri
Author: Rodrigo Fonseca Villa [aut, cre]
Repository: CRAN
Date/Publication: 2026-03-23 17:40:03 UTC

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New package soiltillr with initial version 0.1.0
Package: soiltillr
Title: Analyse Soil Tillage Depth and Erosion Over Time
Version: 0.1.0
Description: Provides tools to record, validate, and analyse soil tillage depth and erosion across years and field treatments. Includes functions for year-wise tillage operation summaries, erosion depth tracking, compaction detection, soil loss estimation, and visualisation of temporal changes in tillage and erosion profiles. Methods follow Lal (2001) <doi:10.1201/9780203739280> and Renard et al. (1997) "Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE)" <https://ntrl.ntis.gov/NTRL/dashboard/searchResults/titleDetail/PB97153704.xhtml>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: bzip2
Depends: R (>= 3.5.0)
Imports: dplyr (>= 1.1.0), ggplot2 (>= 3.4.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-19 08:44:10 UTC; acer
Author: Sadikul Islam [aut, cre]
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-23 17:30:02 UTC

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New package rmdd with initial version 0.0.0.1
Package: rmdd
Title: Resolve Mammal Names with the Mammal Diversity Database
Version: 0.0.0.1
Description: Download, inspect, reconcile, and summarize mammal taxonomic names with the Mammal Diversity Database (MDD). Supports accepted names, synonyms, original combinations, distribution summaries, and mapped outputs derived from packaged MDD releases. Designed for reproducible mammal name resolution workflows in 'R'.
License: MIT + file LICENSE
URL: https://github.com/PaulESantos/rmdd, https://www.mammaldiversity.org/
BugReports: https://github.com/PaulESantos/rmdd/issues
Depends: R (>= 4.3.0)
Imports: cli, dplyr, fs, ggplot2, fuzzyjoin, lifecycle, readr, rnaturalearth, sf, rlang, stringr, tibble, tools, utils
Suggests: covr, knitr, lintr, pkgdown, rmarkdown, rnaturalearthdata, roxygen2, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-19 03:36:30 UTC; PC
Author: Paul E. Santos Andrade [aut, cre, cph]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-23 17:20:07 UTC

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New package paneldesc with initial version 0.1.1
Package: paneldesc
Title: Descriptive Analysis and Visualization for Panel Data
Version: 0.1.1
Description: Provides a comprehensive set of tools for describing and visualizing panel data structures, as well as for summarizing and visualizing variables within a panel data context.
License: GPL-3
URL: https://github.com/dtereshch/paneldesc, https://dtereshch.github.io/paneldesc-guides/
BugReports: https://github.com/dtereshch/paneldesc/issues
LazyData: true
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-19 10:02:55 UTC; dmitrii-work
Author: Dmitrii Tereshchenko [aut, cre]
Maintainer: Dmitrii Tereshchenko <dtereshch@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-23 17:30:10 UTC

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New package multiCCA with initial version 0.1.0
Package: multiCCA
Title: Multiple Canonical Correlation Analysis (Kernel and Functional)
Version: 0.1.0
Description: Implements methods for multiple canonical correlation analysis (CCA) for more than two data blocks, with a focus on multivariate repeated measures and functional data. The package provides two approaches: (i) multiple kernel CCA, which embeds each data block into a reproducing kernel Hilbert space to capture nonlinear dependencies, and (ii) multiple functional CCA, which represents repeated measurements as smooth functions and performs analysis in a Hilbert space framework. Both approaches are formulated via covariance operators and solved as generalized eigenvalue problems with regularization to ensure numerical stability. The methods allow estimation of canonical variables, generalized canonical correlations, and low-dimensional representations for exploratory analysis and visualization of dependence structures across multiple feature sets. The implementation follows the framework developed in Górecki, Krzyśko, Gnettner and Kokoszka (2025) <doi:10.48550/arXiv.2510.04457>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: fda, geigen, ggplot2, rlang
URL: https://github.com/Halmaris/multiCCA
BugReports: https://github.com/Halmaris/multiCCA/issues
NeedsCompilation: no
Packaged: 2026-03-19 14:57:46 UTC; Tomek
Author: Tomasz Gorecki [aut, cre]
Maintainer: Tomasz Gorecki <tomasz.gorecki@amu.edu.pl>
Repository: CRAN
Date/Publication: 2026-03-23 17:50:07 UTC

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New package L0cpt with initial version 0.2.0
Package: L0cpt
Title: Change Point Detection with L0 Penalty
Version: 0.2.0
Date: 2026-3-18
Description: Under an L0 penalty framework, a computationally efficient implementation of change point detection is developed. By integrating active set algorithms with warm start initialization, the package achieves linear-time complexity for solving change point detection problems. References: Wen et al. (2020) <doi:10.18637/jss.v094.i04>; Zhu et al. (2020)<doi:10.1073/pnas.2014241117>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ggplot2, stats
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-03-19 06:22:41 UTC; wangt
Author: Tianhao Wang [aut, cre]
Maintainer: Tianhao Wang <tianhaowang@mail.ustc.edu.cn>
Repository: CRAN
Date/Publication: 2026-03-23 17:20:28 UTC

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New package jlview with initial version 0.1.0
Package: jlview
Title: Zero-Copy Julia to R Array Bridge via ALTREP
Version: 0.1.0
Description: Provides zero-copy R views of Julia-owned arrays by implementing ALTREP (Alternative Representations) classes that return pointers directly into Julia's memory. The package integrates with 'JuliaCall' and uses C-level finalizers for safe cross-runtime garbage collection.
License: MIT + file LICENSE
URL: https://github.com/tanaylab/jlview
BugReports: https://github.com/tanaylab/jlview/issues
Depends: R (>= 4.0.0)
SystemRequirements: Julia (>= 1.6, https://julialang.org/downloads/)
Imports: JuliaCall, Matrix, methods
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
Packaged: 2026-03-19 12:45:24 UTC; aviezerl
Author: Aviezer Lifshitz [aut, cre] , Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>
Repository: CRAN
Date/Publication: 2026-03-23 17:40:08 UTC

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New package gsClusterDetect with initial version 1.0.0
Package: gsClusterDetect
Title: Utilities for Geo-Spatial Cluster Detection and Significance Classification
Version: 1.0.0
Maintainer: Luke Mullany <luke.mullany@jhuapl.edu>
Description: Provides utilities for manipulating time series of location-based counts of events to detect geo-spatial clusters. Significance of these clusters is determined using a set of models that classify based on a learned relationship between observed and the log(observed/expected) ratio of counts. The approach implemented here is similar to prospective space-time estimation of clusters using the scan statistic.
URL: https://github.com/lmullany/gsClusterDetect
BugReports: https://github.com/lmullany/gsClusterDetect/issues
License: Apache License (>= 2)
Encoding: UTF-8
LazyData: true
Imports: cli, data.table (>= 1.16.0), sf
Depends: R (>= 4.3)
Suggests: ggplot2, plotly, tigris, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-03-19 13:39:19 UTC; mullalc1
Author: Luke Mullany [aut, cre], Howard Burkom [aut]
Repository: CRAN
Date/Publication: 2026-03-23 17:40:13 UTC

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New package forestsearch with initial version 0.1.0
Package: forestsearch
Title: Exploratory Subgroup Identification in Clinical Trials with Survival Endpoints
Version: 0.1.0
Description: Implements statistical methods for exploratory subgroup identification in clinical trials with survival endpoints. Provides tools for identifying patient subgroups with differential treatment effects using machine learning approaches including Generalized Random Forests (GRF), LASSO regularization, and exhaustive combinatorial search algorithms. Features bootstrap bias correction using infinitesimal jackknife methods to address selection bias in post-hoc analyses. Designed for clinical researchers conducting exploratory subgroup analyses in randomized controlled trials, particularly for multi-regional clinical trials (MRCT) requiring regional consistency evaluation. Supports both accelerated failure time (AFT) and Cox proportional hazards models with comprehensive diagnostic and visualization tools. Methods are described in León et al. (2024) <doi:10.1002/sim.10163>.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
VignetteBuilder: knitr
Imports: data.table, doFuture, dplyr, foreach, future, future.apply, future.callr, ggplot2, glmnet, grf, gt, patchwork, policytree, progressr, randomForest, rlang, stringr, survival, weightedsurv
Suggests: DiagrammeR, doRNG, htmltools, tidyr, forestploter, cubature, svglite, knitr, rmarkdown, katex
URL: https://github.com/larry-leon/forestsearch, https://larry-leon.github.io/forestsearch/
BugReports: https://github.com/larry-leon/forestsearch/issues
NeedsCompilation: no
Packaged: 2026-03-19 04:27:29 UTC; larryleon
Author: Larry Leon [aut, cre]
Maintainer: Larry Leon <larry.leon.05@post.harvard.edu>
Repository: CRAN
Date/Publication: 2026-03-23 17:20:14 UTC

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New package DirichletRF with initial version 0.1.0
Package: DirichletRF
Title: "Dirichlet Random Forest"
Version: 0.1.0
Description: Implementation of the Dirichlet Random Forest algorithm for compositional response data. Supports maximum likelihood estimation ('MLE') and method-of-moments ('MOM') parameter estimation for the Dirichlet distribution. Provides two prediction strategies; averaging-based predictions (average of responses within terminal nodes) and parameter-based predictions (expected value derived from the estimated Dirichlet parameters within terminal nodes). For more details see Masoumifard, van der Westhuizen, and Gardner-Lubbe (2026, ISBN:9781032903910).
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0), parallel
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-03-19 14:14:40 UTC; 29827094
Author: Khaled Masoumifard [aut, cre] , Stephan van der Westhuizen [aut] , Sugnet Lubbe [aut]
Maintainer: Khaled Masoumifard <masoumifardk@yahoo.com>
Repository: CRAN
Date/Publication: 2026-03-23 17:40:25 UTC

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New package citestR with initial version 0.1.1
Package: citestR
Title: Conditional Independence of Missingness Test
Version: 0.1.1
Description: Tests whether missingness in explanatory variables is conditionally independent of the outcome, given observed data. Uses multiply-imputed datasets and cross-validated classifiers to produce a test statistic and p-value, with a sensitivity parameter (kappa) for calibrating interpretation. Wraps the 'citest' 'Python' engine via a local 'FastAPI' server over 'HTTP', so no 'reticulate' dependency is needed at runtime.
License: MIT + file LICENSE
URL: https://github.com/midasverse/citest
BugReports: https://github.com/midasverse/citest/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
SystemRequirements: Python (>= 3.9) with the 'midasverse-citest-api' package
Imports: curl, httr2 (>= 1.0.0), processx (>= 3.8.0), rlang (>= 1.1.0)
Suggests: arrow, jsonlite, reticulate, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-19 14:38:48 UTC; t.robinson7
Author: Thomas Robinson [aut, cre], Ranjit Lall [aut]
Maintainer: Thomas Robinson <t.robinson7@lse.ac.uk>
Repository: CRAN
Date/Publication: 2026-03-23 17:40:19 UTC

More information about citestR at CRAN
Permanent link

Package micEconDistRay updated to version 0.1-4 with previous version 0.1-2 dated 2023-05-12

Title: Econometric Production Analysis with Ray-Based Distance Functions
Description: Econometric analysis of multiple-input-multiple-output production technologies with ray-based input distance functions as suggested by Price and Henningsen (2023): "A Ray-Based Input Distance Function to Model Zero-Valued Output Quantities: Derivation and an Empirical Application", Journal of Productivity Analysis 60, p. 179-188, <doi:10.1007/s11123-023-00684-1>.
Author: Arne Henningsen [aut, cre], Juan Jose Price [aut]
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

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Package MRMCbinary updated to version 1.0.6 with previous version 1.0.5 dated 2025-02-20

Title: Multi-Reader Multi-Case Analysis of Binary Diagnostic Tests
Description: Implements methods for comparing sensitivities and specificities in balanced (or fully crossed) multi-reader multi-case (MRMC) studies with binary diagnostic test results. It implements conditional logistic regression and provides score tests equivalent to Cochran's Q test (which corresponds to McNemar's test when comparing two modalities only). The methodology is based on Lee et al. (2026) <doi:10.1002/sim.70471>.
Author: Seungjae Lee [aut, cre] , Woojoo Lee [aut]
Maintainer: Seungjae Lee <seungjae2525@gmail.com>

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Package LipidMS updated to version 3.1.3 with previous version 3.1.2 dated 2025-12-18

Title: Lipid Annotation for LC-MS/MS DDA or DIA Data
Description: Lipid annotation in untargeted LC-MS lipidomics based on fragmentation rules. Alcoriza-Balaguer MI, Garcia-Canaveras JC, Lopez A, Conde I, Juan O, Carretero J, Lahoz A (2019) <doi:10.1021/acs.analchem.8b03409>.
Author: M Isabel Alcoriza-Balaguer [aut, cre], Celia Regal-Marques [aut]
Maintainer: M Isabel Alcoriza-Balaguer <maribel_alcoriza@iislafe.es>

Diff between LipidMS versions 3.1.2 dated 2025-12-18 and 3.1.3 dated 2026-03-23

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New package climatekit with initial version 0.1.0
Package: climatekit
Title: Unified Climate Indices for Temperature, Precipitation, and Drought
Version: 0.1.0
Description: Compute 35+ standard climate indices from daily weather observations. Includes temperature indices (frost days, ice days, growing degree days), precipitation indices (dry spells, heavy precipitation, intensity), drought indices (Standardized Precipitation Index, Standardized Precipitation-Evapotranspiration Index), agroclimatic indices (Huglin, Winkler, Branas), and comfort indices (wind chill, heat index, humidex, fire danger). All functions accept vectors of observations with dates and return tidy data frames with metadata. Implements the 'ET-SCI' Expert Team on Sector-specific Climate Indices definitions where applicable. No external API calls; pairs with data packages such as 'readnoaa' for acquisition.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli (>= 3.6.0), stats, tools
Suggests: testthat (>= 3.0.0)
URL: https://github.com/charlescoverdale/climatekit
BugReports: https://github.com/charlescoverdale/climatekit/issues
NeedsCompilation: no
Packaged: 2026-03-18 20:23:11 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-23 14:30:02 UTC

More information about climatekit at CRAN
Permanent link

Package cjar updated to version 0.2.1 with previous version 0.2.0 dated 2025-01-16

Title: R Client for 'Customer Journey Analytics' ('CJA') API
Description: Connect and pull data from the 'CJA' API, which powers 'CJA Workspace' <https://github.com/AdobeDocs/cja-apis>. The package was developed with the analyst in mind and will continue to be developed with the guiding principles of iterative, repeatable, timely analysis. New features are actively being developed and we value your feedback and contribution to the process.
Author: Ben Woodard [aut, cre], Charles Gallagher [ctb], Braxton Butcher [ctb]
Maintainer: Ben Woodard <benrwoodard@gmail.com>

Diff between cjar versions 0.2.0 dated 2025-01-16 and 0.2.1 dated 2026-03-23

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Package spanishoddata updated to version 0.2.3 with previous version 0.2.2 dated 2026-02-24

Title: Get Spanish Origin-Destination Data
Description: Gain seamless access to origin-destination (OD) data from the Spanish Ministry of Transport, hosted at <https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad>. This package simplifies the management of these large datasets by providing tools to download zone boundaries, handle associated origin-destination data, and process it efficiently with the 'duckdb' database interface. Local caching minimizes repeated downloads, streamlining workflows for researchers and analysts. Methods described in Kotov et al. (2026) <doi:10.1177/23998083251415040>. Extensive documentation is available at <https://ropenspain.github.io/spanishoddata/index.html>, offering guides on creating static and dynamic mobility flow visualizations and transforming large datasets into analysis-ready formats.
Author: Egor Kotov [aut, cre] , Robin Lovelace [aut] , Eugeni Vidal-Tortosa [ctb]
Maintainer: Egor Kotov <kotov.egor@gmail.com>

Diff between spanishoddata versions 0.2.2 dated 2026-02-24 and 0.2.3 dated 2026-03-23

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Package SIHR updated to version 2.1.1 with previous version 2.1.0 dated 2024-04-24

Title: Statistical Inference in High Dimensional Regression
Description: The goal of SIHR is to provide inference procedures in the high-dimensional generalized linear regression setting for: (1) linear functionals <doi:10.48550/arXiv.1904.12891> <doi:10.48550/arXiv.2012.07133>, (2) conditional average treatment effects, (3) quadratic functionals <doi:10.48550/arXiv.1909.01503>, (4) inner product, (5) distance.
Author: Zhenyu Wang [aut], Prabrisha Rakshit [aut], Tony Cai [aut], Zijian Guo [aut, cre]
Maintainer: Zijian Guo <zijguo@stat.rutgers.edu>

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Package REndo updated to version 2.4.11 with previous version 2.4.10 dated 2024-07-02

Title: Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables
Description: Fits linear models with endogenous regressor using latent instrumental variable approaches. The methods included in the package are Lewbel's (1997) <doi:10.2307/2171884> higher moments approach as well as Lewbel's (2012) <doi:10.1080/07350015.2012.643126> heteroscedasticity approach, Park and Gupta's (2012) <doi:10.1287/mksc.1120.0718> joint estimation method that uses Gaussian copula and Kim and Frees's (2007) <doi:10.1007/s11336-007-9008-1> multilevel generalized method of moment approach that deals with endogeneity in a multilevel setting. These are statistical techniques to address the endogeneity problem where no external instrumental variables are needed. See the publication related to this package in the Journal of Statistical Software for more details: <doi:10.18637/jss.v107.i03>. Note that with version 2.0.0 sweeping changes were introduced which greatly improve functionality and usability but break backwards compatibility.
Author: Raluca Gui [cre, aut], Markus Meierer [aut], Rene Algesheimer [aut], Patrik Schilter [aut]
Maintainer: Raluca Gui <raluca.gui@gmail.com>

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Package redcapAPI updated to version 2.12.0 with previous version 2.11.5 dated 2025-12-09

Title: Interface to 'REDCap'
Description: Access data stored in 'REDCap' databases using the Application Programming Interface (API). 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>, Harris, et al. (2009) <doi:10.1016/j.jbi.2008.08.010>, Harris, et al. (2019) <doi:10.1016/j.jbi.2019.103208>) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The API allows users to access data and project meta data (such as the data dictionary) from the web programmatically. The 'redcapAPI' package facilitates the process of accessing data with options to prepare an analysis-ready data set consistent with the definitions in a database's data dictionary.
Author: Benjamin Nutter [ctb, aut], Shawn Garbett [cre, ctb] , Savannah Obregon [ctb], Thomas Obadia [ctb], Marcus Lehr [ctb], Brian High [ctb], Stephen Lane [ctb], Will Beasley [ctb], Will Gray [ctb], Nick Kennedy [ctb], Tan Hsi-Nien [ctb], Jeffrey Horner [ [...truncated...]
Maintainer: Shawn Garbett <shawn.garbett@vumc.org>

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Package ogrdbstats updated to version 0.5.5 with previous version 0.5.4 dated 2025-07-07

Title: Analysis of Adaptive Immune Receptor Repertoire Germ Line Statistics
Description: Multiple tools are now available for inferring the personalised germ line set from an adaptive immune receptor repertoire. Output from these tools is converted to a single format and supplemented with rich data such as usage and characterisation of 'novel' germ line alleles. This data can be particularly useful when considering the validity of novel inferences. Use of the analysis provided is described in <doi:10.3389/fimmu.2019.00435>.
Author: William Lees [aut, cre]
Maintainer: William Lees <william@lees.org.uk>

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Package NADA2 updated to version 2.0.2 with previous version 2.0.1 dated 2025-09-30

Title: Data Analysis for Censored Environmental Data
Description: Contains methods described by Dennis Helsel in his book "Statistics for Censored Environmental Data using Minitab and R" (2011) and courses and videos at <https://practicalstats.com>. This package incorporates functions of NADA and adds new functionality.
Author: Paul Julian [aut, cre], Dennis Helsel [aut, cph], Lopaka Lee [aut, cph]
Maintainer: Paul Julian <pauljulianphd@gmail.com>

Diff between NADA2 versions 2.0.1 dated 2025-09-30 and 2.0.2 dated 2026-03-23

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Package labdsv updated to version 2.3-0 with previous version 2.1-2 dated 2025-07-31

Title: Ordination and Multivariate Analysis for Ecology
Description: A variety of ordination and community analyses useful in analysis of data sets in community ecology. Includes many of the common ordination methods, with graphical routines to facilitate their interpretation, as well as several novel analyses.
Author: David W. Roberts [aut, cre]
Maintainer: David W. Roberts <droberts@montana.edu>

Diff between labdsv versions 2.1-2 dated 2025-07-31 and 2.3-0 dated 2026-03-23

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Package TSEAL updated to version 0.1.5 with previous version 0.1.4 dated 2026-03-16

Title: Time Series Analysis Library
Description: The library allows to perform a multivariate time series classification based on the use of Discrete Wavelet Transform for feature extraction, a step wise discriminant to select the most relevant features and finally, the use of a linear or quadratic discriminant for classification. Note that all these steps can be done separately which allows to implement new steps. Velasco, I., Sipols, A., de Blas, C. S., Pastor, L., & Bayona, S. (2023) <doi:10.1186/S12938-023-01079-X>. Percival, D. B., & Walden, A. T. (2000,ISBN:0521640687). Maharaj, E. A., & Alonso, A. M. (2014) <doi:10.1016/j.csda.2013.09.006>.
Author: Ivan Velasco [aut, cre, cph]
Maintainer: Ivan Velasco <ivan.velasco@urjc.es>

Diff between TSEAL versions 0.1.4 dated 2026-03-16 and 0.1.5 dated 2026-03-23

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Package rworkflows readmission to version 1.0.10 with previous version 1.0.8 dated 2026-01-08

Title: Test, Document, Containerise, and Deploy R Packages
Description: Reproducibility is essential to the progress of research, yet achieving it remains elusive even in computational fields. Continuous Integration (CI) platforms offer a powerful way to launch automated workflows to check and document code, but often require considerable time, effort, and technical expertise to setup. We therefore developed the rworkflows suite to make robust CI workflows easy and freely accessible to all R package developers. rworkflows consists of 1) a CRAN/Bioconductor-compatible R package template, 2) an R package to quickly implement a standardised workflow, and 3) a centrally maintained GitHub Action.
Author: Brian Schilder [aut] , Alan Murphy [aut, ctb] , Hiranyamaya Dash [ctb, cre] , Nathan Skene [aut]
Maintainer: Hiranyamaya (Hiru) Dash <hdash.work@gmail.com>

This is a re-admission after prior archival of version 1.0.8 dated 2026-01-08

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Package ggdiceplot updated to version 1.1.0 with previous version 1.0.1 dated 2025-12-08

Title: DicePlot Visualization for 'ggplot2'
Description: Provides 'ggplot2' extensions for creating dice-based visualizations where each dot position represents a specific categorical variable. The package includes geom_dice() for displaying presence/absence of categorical variables using traditional dice patterns. Each dice position (1-6) represents a different category, with dots shown only when that category is present. This allows intuitive visualization of up to 6 categorical variables simultaneously.
Author: Matthias Flotho [aut, cre]
Maintainer: Matthias Flotho <matthias.flotho@ccb.uni-saarland.de>

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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>

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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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More information about rKolada at CRAN
Permanent link

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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Permanent link

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

More information about YangHuiMagic at CRAN
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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

More information about wcvpmatch at CRAN
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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

More information about theRefdate at CRAN
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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 ++++----
 MD5                        |   26 +++++++++++++-------------
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 build/partial.rdb          |binary
 man/entropy_cont.Rd        |    4 ++--
 man/entropy_disc.Rd        |    2 +-
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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

More information about MultiResponseR at CRAN
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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

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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
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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
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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>

Diff between corrselect versions 3.1.0 dated 2026-01-08 and 3.2.1 dated 2026-03-23

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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 
 corrselect-3.2.1/corrselect/inst/doc/advanced.Rmd                                                                  |   60 
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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>

Diff between spicy versions 0.5.0 dated 2026-03-14 and 0.6.0 dated 2026-03-23

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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>

Diff between spatstat.geom versions 3.7-2 dated 2026-03-21 and 3.7-3 dated 2026-03-23

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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>

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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 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

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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 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/R/stat-distrmix-line.R                                                                   |   21 
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 ggpmisc-0.7.0/ggpmisc/R/stat-ma-eq.R                                                                           |   63 
 ggpmisc-0.7.0/ggpmisc/R/stat-ma-line.R                                                                         |   55 
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 ggpmisc-0.7.0/ggpmisc/R/stat-quant-eq.R                                                                        |   63 
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 ggpmisc-0.7.0/ggpmisc/R/stat-spikes.R                                                                          |    2 
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 ggpmisc-0.7.0/ggpmisc/R/utilities-fm.R                                                                         |  329 ++
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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
Permanent link


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