CRANberries

Wed, 25 Mar 2026

New package effectcheck with initial version 0.2.3
Package: effectcheck
Title: Statistical Consistency Checker for Published Research Results
Version: 0.2.3
Description: A conservative, assumption-aware statistical consistency checker for published research results. Parses test statistics, effect sizes, and confidence intervals from text, PDF, HTML, and Word documents across multiple citation styles including American Psychological Association (APA), Harvard, Frontiers, PLOS ONE, Scientific Reports, Nature Human Behaviour, PeerJ, eLife, PNAS, and others. Recomputes effect sizes using all plausible variants when design is ambiguous, and validates internal consistency. Supports t-tests, F-tests/ANOVA, correlations, chi-square, z-tests, regression, and nonparametric tests. Provides 'statcheck'-compatible API functions for batch processing of files and directories. Explicitly tracks all assumptions and uncertainty in output. Detects decision errors (significance reversals) similar to 'statcheck'. Note: this package is under active development and results should be independently verified. Use is at the sole responsibility of the user. Contributions and veri [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/giladfeldman/escicheck
BugReports: https://github.com/giladfeldman/escicheck/issues
SystemRequirements: poppler-utils (pdftotext) for PDF text extraction
Imports: stringr, stringi, dplyr, purrr, tibble, xml2, rvest, glue, logger, graphics, stats, utils
Suggests: shiny, shinythemes, DT, knitr, rmarkdown, testthat (>= 3.0.0), MBESS, effectsize, jsonlite, tesseract, magick, qpdf, statcheck
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-20 16:41:04 UTC; filin
Author: Gilad Feldman [aut, cre]
Maintainer: Gilad Feldman <giladfel@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-25 10:50:02 UTC

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New package blends with initial version 0.1.0
Package: blends
Title: Blend Colour Palettes
Version: 0.1.0
Description: Blend colour palettes using blend modes such as multiply and screen.
License: MIT + file LICENSE
URL: https://github.com/davidhodge931/blends, https://davidhodge931.github.io/blends/
BugReports: https://github.com/davidhodge931/blends/issues
Depends: R (>= 4.1.0)
Imports: rlang, scales
Suggests: dplyr, ggplot2, jumble, testthat (>= 3.0.0), tidyr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-03-20 21:33:28 UTC; david
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-25 11:00:02 UTC

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Tue, 24 Mar 2026

New package tabstats with initial version 0.1.0
Package: tabstats
Title: A Lightweight Toolkit for Displaying Customizable Tables
Version: 0.1.0
Maintainer: Joshua Marie <joshua.marie.k@gmail.com>
Description: A lightweight toolkit that provides functions for printing tables from input data in the R console or terminal with customizable formatting. Supported outputs include American Psychological Association (APA)-style tables (American Psychological Association, 2020, ISBN:9781433832178), correlation matrices, contingency tables, and two-column summary tables.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
URL: https://github.com/joshuamarie/tabstats
BugReports: https://github.com/joshuamarie/tabstats/issues
Imports: cli, tibble, vctrs, utils, stats
Suggests: broom, rstatix, glue, tidyr, testthat (>= 3.0.0), knitr, rmarkdown, fansi, crayon, dplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-20 11:32:11 UTC; DESKTOP
Author: Joshua Marie [aut, cre]
Repository: CRAN
Date/Publication: 2026-03-24 10:10:03 UTC

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New package subtools with initial version 1.1.0
Package: subtools
Title: Read and Manipulate Video Subtitles
Version: 1.1.0
Date: 2026-03-16
Maintainer: Francois Keck <francois.keck@gmail.com>
Description: A collection of functions to read, write and manipulate video subtitles. Supported formats include 'srt', 'subrip', 'sub', 'subviewer', 'microdvd', 'ssa', 'ass', 'substation', 'vtt', and 'webvtt'.
Language: en-GB
License: GPL-3
Encoding: UTF-8
Imports: methods, utils, jsonlite, tibble, dplyr, readr, hms, tidytext, rlang
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-20 14:28:28 UTC; as80fywe
Author: Francois Keck [aut, cre, cph] , Bob Rudis [ctb] , Alban Sagouis [ctb]
Repository: CRAN
Date/Publication: 2026-03-24 10:40:02 UTC

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New package stopmotion with initial version 0.1.0
Package: stopmotion
Title: Build Stop Motion Animations from Image Sequences
Version: 0.1.0
License: MIT + file LICENSE
Description: A pipeline-friendly toolkit for assembling stop motion animations from sequences of still images. Provides functions to read image directories, restructure frame sequences (duplicate, splice, arrange), apply per-frame pixel transformations (rotate, wiggle, flip, flop, blur, scale, crop, trim, border, background), and export the result as a GIF. All transformation functions accept a 'frames' argument to target any subset of frames, bridging the gap between 'magick' functions that operate on an entire image stack and fine-grained stop motion editing. Image processing is performed via 'ImageMagick Studio LLC' (2024) <https://imagemagick.org>.
Imports: magick, checkmate
Suggests: testthat (>= 3.0.0), withr, knitr, quarto
VignetteBuilder: quarto
Language: en-GB
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-20 14:50:06 UTC; as80fywe
Author: Alban Sagouis [aut, cre, cph]
Maintainer: Alban Sagouis <sagouis@pm.me>
Repository: CRAN
Date/Publication: 2026-03-24 10:30:03 UTC

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New package prettyPanelMatch with initial version 0.2.0
Package: prettyPanelMatch
Title: 'ggplot2'-Based Visualization for 'PanelMatch' (Imai, Kim, Wang 2023) Results
Version: 0.2.0
Description: Provides 'ggplot2'-based plotting functions for 'PanelMatch' (Imai, Kim, Wang (2023) <doi:10.1111/ajps.12685>) results. Tidy-and-plot function pairs for three 'PanelMatch' outputs: treatment effect estimates (PanelEstimate()), placebo test diagnostics (placebo_test()), and covariate balance checks (get_covariate_balance()). Supports multiple models, significance indicators, faceted balance grids, and full 'ggplot2' extensibility.
License: MIT + file LICENSE
URL: https://github.com/jacqpark/prettyPanelMatch
BugReports: https://github.com/jacqpark/prettyPanelMatch/issues
Encoding: UTF-8
Imports: ggplot2 (>= 3.4.0), dplyr, rlang
Suggests: PanelMatch, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-20 10:30:25 UTC; jacqpark
Author: Jihye Park [aut, cre]
Maintainer: Jihye Park <Jihye.Park@unige.ch>
Repository: CRAN
Date/Publication: 2026-03-24 10:10:10 UTC

More information about prettyPanelMatch at CRAN
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New package pizzarr with initial version 0.1.0
Package: pizzarr
Title: Slice into 'Zarr' Arrays
Version: 0.1.0
Description: An implementation of chunked, compressed, N-dimensional arrays for R following the 'Zarr' specification. Provides array and group creation, reading and writing with configurable chunk shapes, compression codecs, and storage backends including in-memory, local directory, and HTTP stores. Supports both 'Zarr' spec V2 (2024) <doi:10.5281/zenodo.11320255> and V3, enabling interoperable access to large array data commonly used in scientific computing and geospatial applications.
Language: en-US
License: MIT + file LICENSE
BugReports: https://github.com/zarr-developers/pizzarr/issues
URL: https://zarr.dev/pizzarr/
Depends: R (>= 4.1.0)
Imports: jsonlite, stats, R6, qs2, stringr, memoise, utils
Encoding: UTF-8
Suggests: testthat, knitr, covr, bslib, pkgdown, rmarkdown, crul, blosc, vcr (>= 0.6.0), pbapply, parallel, future, future.apply, bench, bit64, withr
NeedsCompilation: no
Packaged: 2026-03-20 15:09:07 UTC; dblodgett
Author: David Blodgett [cre, aut] , Mark Keller [aut] , Artuer Manukyan [aut] , zarr-developers [cph]
Maintainer: David Blodgett <dblodgett@usgs.gov>
Repository: CRAN
Date/Publication: 2026-03-24 10:40:08 UTC

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New package outrigger with initial version 1.1.0
Package: outrigger
Title: Outrigger Regression
Version: 1.1.0
Maintainer: Elliot H. Young <ey244@cam.ac.uk>
Description: Performs outrigger local polynomial regression/ distributional adaptation, using a score-matching spline estimator of the conditional score function. Details of the method can be found in Young, Shah and Samworth (2026) <doi:10.48550/arXiv.2603.11282>.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp, np, mgcv, RColorBrewer
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-03-20 11:16:11 UTC; elliotyoung
Author: Elliot H. Young [cre], Rajen D. Shah [aut], Richard J. Samworth [aut]
Repository: CRAN
Date/Publication: 2026-03-24 10:10:15 UTC

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New package metaDyn with initial version 1.0.1
Package: metaDyn
Title: Multivariate Meta-Analysis of Dynamic Model Estimates
Version: 1.0.1
Description: Fits fixed-, random-, or mixed-effects multivariate meta-analysis models using dynamic model estimates from each individual building on and extending Lee and Gates (2023) <doi:10.1080/00273171.2023.2229310>.
URL: https://github.com/jeksterslab/metaDyn, https://jeksterslab.github.io/metaDyn/
BugReports: https://github.com/jeksterslab/metaDyn/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0), OpenMx (>= 2.22.10)
Imports: Matrix, fitVARMxID (>= 1.0.2)
Suggests: knitr, rmarkdown, testthat, simStateSpace, MASS, metaSEM, expm
NeedsCompilation: no
Packaged: 2026-03-19 17:13:06 UTC; root
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-24 09:10:02 UTC

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New package hierNest with initial version 1.0.0
Package: hierNest
Title: Penalized Regression with Hierarchical Nested Parameterization Structure
Version: 1.0.0
Date: 2026-03-02
Description: Efficient implementation of penalized regression with hierarchical nested parametrization for grouped data. The package provides penalized regression methods that decompose subgroup specific effects into shared global effects, Major subgroup specific effects, and Minor subgroup specific effects, enabling structured borrowing of information across related clinical subgroups. Both lasso and hierarchical overlapping group lasso penalties are supported to encourage sparsity while respecting the nested subgroup structure. Efficient computation is achieved through a modified design matrix representation and a custom majorization minimization algorithm for overlapping group penalties.
License: GPL (>= 2)
Depends: R (>= 3.5),
Imports: cli, dotCall64, ggplot2, magrittr, Matrix, methods, rlang, RSpectra, tidyr, rTensor, pROC, plotly
Suggests: dplyr, gglasso, glmnet, knitr, markdown, rmarkdown, splines, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
VignetteBuilder: knitr
Maintainer: Ziren Jiang <jian0746@umn.edu>
URL: https://github.com/ZirenJiang/hierNest
BugReports: https://github.com/ZirenJiang/hierNest/issues
Packaged: 2026-03-20 02:36:05 UTC; 12805
Author: Ziren Jiang [aut, cre], Jared Huling [aut], Jue Hou [aut], Lingfeng Huo [aut], Daniel J. McDonald [ctb], Xiaoxuan Liang [ctb], Anibal Solon Heinsfeld [ctb], Aaron Cohen [ctb], Yi Yang [ctb], Hui Zou [ctb], Jerome Friedman [ctb], Trevor Hastie [ctb], [...truncated...]
Repository: CRAN
Date/Publication: 2026-03-24 09:20:02 UTC

More information about hierNest at CRAN
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New package HeatmapR with initial version 1.1.0
Package: HeatmapR
Title: Create Heatmaps Using Base Graphics
Version: 1.1.0
Date: 2026-03-19
Description: Provides a lightweight framework for creating high quality, complex heatmaps using base graphics. Supports hierarchical clustering with dendrograms, column and row scaling, cluster sub-divisions, customizable cell colours, shapes and sizes, legends, and flexible layouts for arranging multiple heatmaps. Designed to return plot objects that can be easily arranged with other plots without sacrificing resolution. Methods for hierarchical clustering and distance computations are described in Murtagh and Contreras (2012) <doi:10.1002/wics.53>. Dendrogram visualisation methods are based on the 'ggdendro' package by de Vries and Ripley (2020) <https://CRAN.R-project.org/package=ggdendro>.
URL: https://dillonhammill.github.io/HeatmapR/
BugReports: https://github.com/DillonHammill/HeatmapR/issues
Depends: R (>= 3.5)
Imports: methods, stats, graphics, grDevices, tools
License: GPL-2
Encoding: UTF-8
Language: en-GB
Suggests: covr, testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-20 02:37:25 UTC; dillon
Author: Dillon Hammill [aut, cre]
Maintainer: Dillon Hammill <dillon.hammill21@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-24 09:20:13 UTC

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New package fkcentroids with initial version 0.0.3
Package: fkcentroids
Title: Functional K-Centroids Clustering Using Phase and Amplitude Components
Version: 0.0.3
Description: Cluster functional data using phase and amplitude components of each function. By weighting phase and amplitude variation differently, clustering results can be obtained from multiple perspectives. Routines for synchronization, functional k-means clustering, and functional k-medians clustering are provided.
URL: https://github.com/seungwoo-stat/fkcentroids
BugReports: https://github.com/seungwoo-stat/fkcentroids/issues
License: GPL (>= 3)
Encoding: UTF-8
Imports: fdasrvf, graphics, Kmedians, stats, withr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-20 00:12:05 UTC; SeungwooKang
Author: Seungwoo Kang [aut, cre] , Hee-Seok Oh [aut]
Maintainer: Seungwoo Kang <kangsw@skku.edu>
Repository: CRAN
Date/Publication: 2026-03-24 09:10:08 UTC

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New package EpiStandard with initial version 0.2.0
Package: EpiStandard
Title: Directly Standardise Rates by Age
Version: 0.2.0
Maintainer: Elin Rowlands <elin.rowlands@ndorms.ox.ac.uk>
Description: Provides functions for age standardisation of epidemiological measures such as incidence and prevalence rates. It allows users to apply standard population structures to observed age-specific estimates in order to obtain comparable summary measures across populations or time periods. Functions support calculation of standardised rates, outcome counts, and corresponding confidence intervals. The tools are designed to facilitate reproducible and transparent adjustment for differences in age distributions in epidemiological and public health research.
License: Apache License (>= 2)
Encoding: UTF-8
Suggests: gt, knitr, rmarkdown, testthat (>= 3.0.0), DBI, duckdb, IncidencePrevalence, omopgenerics
Imports: cli, dplyr, rlang, stringr, tidyr, tidyselect, tibble
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
URL: https://oxford-pharmacoepi.github.io/EpiStandard/, https://github.com/oxford-pharmacoepi/EpiStandard
Language: en-GB
BugReports: https://github.com/oxford-pharmacoepi/EpiStandard/issues
NeedsCompilation: no
Packaged: 2026-03-11 15:15:50 UTC; rowelin
Author: Elin Rowlands [aut, cre] , Marta Alcalde-Herraiz [aut] , Nuria Mercade-Besora [aut] , Edward Burn [aut] , Danielle Newby [aut]
Repository: CRAN
Date/Publication: 2026-03-24 10:00:02 UTC

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New package authordown with initial version 0.1.0
Package: authordown
Title: Author Metadata Management and Manuscript Front Matter
Version: 0.1.0
Author: Zhipeng Cao [aut, cre]
Maintainer: Zhipeng Cao <zhipeng30@foxmail.com>
Description: Manage author metadata and generate manuscript front matter. It produces title pages, acknowledgements, conflicts of interest, and contribution sections for large author lists, with helpers for validating and reading common spreadsheet formats.
License: AGPL-3
URL: https://zh1peng.github.io/authordown/, https://github.com/zh1peng/authordown
BugReports: https://github.com/zh1peng/authordown/issues
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: openxlsx, rlang
Suggests: knitr, pkgdown, rmarkdown, shiny, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-20 01:51:44 UTC; Zhipeng
Repository: CRAN
Date/Publication: 2026-03-24 09:20:08 UTC

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New package Rglottography with initial version 1.2.0
Package: Rglottography
Title: Programmatic Access to Glottography Speaker Area Polygons
Version: 1.2.0
Author: Peter Ranacher [aut, cre]
Maintainer: Peter Ranacher <peter.ranacher@gmail.com>
Description: Provides programmatic access to Glottography, an online repository of geospatial speaker-area polygons for the world's languages. The package allows users to list available datasets, download and install them, and load speaker-area polygons as standard spatial 'sf' objects in R. Data are sourced from either the Glottography organization on GitHub <https://github.com/Glottography> or the Glottography community on Zenodo <https://zenodo.org/communities/glottography>. Based on Ranacher et al. (2026) <doi:10.5334/johd.459>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://github.com/Glottography/Rglottography
BugReports: https://github.com/Glottography/Rglottography/issues
Depends: R (>= 4.1.0)
Imports: cli, httr2, jsonlite, sf, tibble
Suggests: testthat (>= 3.0.0), mockery, knitr, rmarkdown, ggplot2, dplyr, rnaturalearth
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-19 21:50:39 UTC; peter
Repository: CRAN
Date/Publication: 2026-03-24 09:00:09 UTC

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New package nnsolve with initial version 0.0.1
Package: nnsolve
Title: Fast Non-Negative Least Squares
Version: 0.0.1
Date: 2026-03-11
Description: Provides a fast algorithm for solving non-negative least squares problems. It implements the Fast Non-Negative Least Squares algorithm of Bro and de Jong (1997) <doi:10.1002/(SICI)1099-128X(199709/10)11:5%3C393::AID-CEM483%3E3.0.CO;2-L>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.1.1)
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-03-19 16:24:30 UTC; nikolask
Author: Nikolaos Kontemeniotis [aut, cre], Michail Tsagris [aut]
Maintainer: Nikolaos Kontemeniotis <kontemeniotisn@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-24 08:50:02 UTC

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New package ecoXCorr with initial version 0.1.9
Package: ecoXCorr
Title: Lagged Cross-Correlation Analysis of Environmental Time Series
Version: 0.1.9
Description: Tools for analysing lagged relationships between environmental variables and ecological or epidemiological time series. The package implements a workflow to aggregate meteorological data over multiple lagged intervals, fit regression models, including mixed-effect models using 'glmmTMB', for each lag window, and visualise varied models outcomes (effect strength and direction, model prediction error...) using cross-correlation maps ('CCM').
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: glmmTMB, ggplot2, stats, performance, Rdpack, shiny, scales
Depends: R (>= 3.5)
URL: https://github.com/Nmoiroux/ecoXCorr
BugReports: https://github.com/Nmoiroux/ecoXCorr/issues
Suggests: testthat (>= 3.0.0), readr
NeedsCompilation: no
Packaged: 2026-03-19 15:20:19 UTC; nm
Author: Nicolas Moiroux [aut, cre] , Colombine Bartholomee [aut] , Paul Taconet [aut]
Maintainer: Nicolas Moiroux <nicolas.moiroux@ird.fr>
Repository: CRAN
Date/Publication: 2026-03-24 08:40:14 UTC

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Mon, 23 Mar 2026

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

More information about paneldesc at CRAN
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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

More information about L0cpt at CRAN
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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

More information about jlview at CRAN
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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

More information about gsClusterDetect at CRAN
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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

More information about forestsearch at CRAN
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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

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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
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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

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

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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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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

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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

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Sat, 21 Mar 2026

New package Rbearcat with initial version 0.2.1
Package: Rbearcat
Title: University of Cincinnati Themes and Utilities for Econometrics and Data Science
Version: 0.2.1
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'.
License: MIT + file LICENSE
URL: https://github.com/saannidhya/Rbearcat
BugReports: https://github.com/saannidhya/Rbearcat/issues
Encoding: UTF-8
Imports: knitr, kableExtra, magrittr, flextable, purrr, officer, colorspace, ggplot2, scales, bookdown, forcats, dplyr, lubridate, stringr, usethis, readr, rmarkdown, xaringan, git2r, gert, modelsummary, broom, patchwork, lmtest, data.table, tools, rlang
Suggests: testthat (>= 2.1.0), tibble, gapminder, ggrepel, gt, reactable, RColorBrewer, fivethirtyeight, gcookbook, haven, here, tidyverse, viridis, fixest, plm, ivreg, forecast, xts, zoo, car, janitor, ssh, askpass, crayon, rstudioapi, ragg, systemfonts
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-17 17:04:16 UTC; rawatsa
Author: Saannidhya Rawat [aut, cre]
Maintainer: Saannidhya Rawat <rawatsa@mail.uc.edu>
Repository: CRAN
Date/Publication: 2026-03-21 09:50:02 UTC

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New package multChernoff with initial version 1.0.0
Package: multChernoff
Title: Finite-Sample Tail Bound of Likelihood Ratio Test under Multinomial Sampling
Version: 1.0.0
Description: Computes a finite-sample tail bound for the log-likelihood ratio test (LRT) statistic under multinomial sampling. The resulting bound is used to compute finite-sample conservative p-values and critical values when the standard chi-squared asymptotics can be unreliable. The package also supports multiple independent multinomial trials.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/richardkwo/multChernoff
BugReports: https://github.com/richardkwo/multChernoff/issues
Imports: plyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-17 18:53:53 UTC; ricguo
Author: Richard Guo [aut, cre, cph], Ivana Liu [aut]
Maintainer: Richard Guo <ricguo@umich.edu>
Repository: CRAN
Date/Publication: 2026-03-21 10:10:02 UTC

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New package mrddGlobal with initial version 0.1.0
Package: mrddGlobal
Title: Global Testing for Multivariate Regression Discontinuity Designs
Version: 0.1.0
Description: Global testing for regression discontinuity designs with more than one running variable. The function cef_disc_test() is used for testing whether there exist non-zero treatment effects along the boundary of the treated region. The function density_disc_test() is used for testing whether there exist discontinuities in the joint density of the running variables along the boundary of the treated region. The methodology follows Samiahulin (2026), "Global Testing for Regression Discontinuity Designs with Multiple Running Variables" <doi:10.48550/arXiv.2602.03819>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: grf, lpdensity, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: dplyr, ggplot2, patchwork, rmarkdown, sf, RANN, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-17 21:14:44 UTC; User
Author: Artem Samiahulin [aut, cre]
Maintainer: Artem Samiahulin <artem.samiahulin@outlook.com>
Repository: CRAN
Date/Publication: 2026-03-21 10:20:02 UTC

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New package GOFclustering with initial version 1.0.4
Package: GOFclustering
Title: Goodness-of-Fit Testing for Model-Based Clustering
Version: 1.0.4
Description: Performs goodness-of-fit tests for model-based clustering based on the methodology developed in <doi:10.48550/arXiv.2511.04206>. It implements a test statistic derived from empirical likelihood to verify the distribution of clusters in multivariate Gaussian mixtures and other latent class models.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.4)
Imports: Rcpp, parallel, VarSelLCM, mixtools, goftest, partitions, randtoolbox, stats, mvtnorm
LinkingTo: Rcpp, RcppArmadillo
ByteCompile: true
NeedsCompilation: yes
Packaged: 2026-03-17 16:08:39 UTC; matt
Author: Salima El Kolei [aut], Matthieu Marbac [aut, cre]
Maintainer: Matthieu Marbac <matthieu.marbac@univ-ubs.fr>
Repository: CRAN
Date/Publication: 2026-03-21 09:40:02 UTC

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New package foldedt with initial version 1.0
Package: foldedt
Title: The Folded t Family of Distributions
Version: 1.0
Date: 2026-03-18
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rfast, stats
Suggests: Rfast2
Description: Maximum likelihood estimation of the folded t and related distributions. The reference paper is: Psarakis and Panaretos (1990). "The folded t distribution". Communications in Statistics--Theory and Methods, 19(7): 2717--2734. <doi:10.1080/03610929008830342>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-03-17 22:10:37 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-03-21 10:20:08 UTC

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New package CohortMethod with initial version 6.0.1
Package: CohortMethod
Title: Comparative Cohort Method with Large Scale Propensity and Outcome Models
Version: 6.0.1
Date: 2026-03-16
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>
Description: Functions for performing comparative cohort studies in an observational database in the Observational Medical Outcomes Partnership (OMOP) Common Data Model. Can extract all necessary data from a database. This implements large-scale propensity scores (LSPS) as described in Tian et al. (2018) <doi:10.1093/ije/dyy120>, using a large set of covariates, including for example all drugs, diagnoses, procedures, as well as age, comorbidity indexes, etc. Large scale regularized regression is used to fit the propensity and outcome models as described in Suchard et al. (2013) <doi:10.1145/2414416.2414791>. Functions are included for trimming, stratifying, (variable and fixed ratio) matching and weighting by propensity scores, as well as diagnostic functions, such as propensity score distribution plots and plots showing covariate balance before and after matching and/or trimming. Supported outcome models are (conditional) logistic regression, (conditional) Poisson regression, and (stra [...truncated...]
License: Apache License 2.0
VignetteBuilder: knitr
URL: https://ohdsi.github.io/CohortMethod/, https://github.com/OHDSI/CohortMethod
BugReports: https://github.com/OHDSI/CohortMethod/issues
Depends: R (>= 4.1.0), DatabaseConnector (>= 6.0.0), Cyclops (>= 3.6.0), FeatureExtraction (>= 3.0.0), Andromeda (>= 0.6.3)
Imports: methods, utils, ggplot2, gridExtra, grid, readr, plyr, dplyr, rlang, Rcpp (>= 0.11.2), SqlRender (>= 1.18.0), survival, ParallelLogger (>= 3.4.2), checkmate, EmpiricalCalibration, jsonlite, R6, digest
Suggests: testthat, pROC, knitr, rmarkdown, Eunomia, zip, withr, R.utils, RSQLite, ResultModelManager, markdown, PSweight
SystemRequirements: Java
LinkingTo: Rcpp
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2026-03-16 19:58:45 UTC; schuemie
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut], Patrick Ryan [aut]
Repository: CRAN
Date/Publication: 2026-03-21 09:40:07 UTC

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Fri, 20 Mar 2026

New package nTARP with initial version 0.1.0
Package: nTARP
Title: Cluster Analysis Using Thresholding After Random Projections (n-TARP)
Version: 0.1.0
Description: Implements the high-dimensional clustering technique Thresholding After Random Projections (n-TARP). Provides functionality to iteratively decompose larger datasets using contextual variables or within-cluster sum of squares. See Tarun & Boutin (2018) <doi:10.48550/arXiv.1806.05297> and Tarun & Boutin (2018) <doi:10.4231/R74B2ZJV> for the original method and applications.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: knitr, rmarkdown, HDclassif
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-17 15:50:24 UTC; reepi
Author: David Reeping [aut, cre], Yunmeng Han [aut], Nahal Rashedi [rev]
Maintainer: David Reeping <reepindp@ucmail.uc.edu>
Repository: CRAN
Date/Publication: 2026-03-20 12:40:02 UTC

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New package lakefetch with initial version 0.1.3
Package: lakefetch
Title: Calculate Fetch and Wave Exposure for Lake Sampling Points
Version: 0.1.3
Description: Calculates fetch (open water distance) and wave exposure metrics for lake sampling points. Downloads lake boundaries from 'OpenStreetMap', calculates directional fetch using a ray-casting approach, and optionally integrates National Hydrography Dataset ('NHD') data <https://www.usgs.gov/national-hydrography> for hydrological context including outlet and inlet locations. Can estimate lake depth from surface area using empirical relationships, and integrate historical weather data for cumulative wave energy calculations. Includes an optional interactive 'shiny' application for visualization.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Imports: sf (>= 1.0-0), osmdata (>= 0.2.0), ggplot2 (>= 3.0.0)
Suggests: nhdplusTools, jsonlite, shiny, leaflet, base64enc, parallel, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/jeremylfarrell/lakefetch
BugReports: https://github.com/jeremylfarrell/lakefetch/issues
NeedsCompilation: no
Packaged: 2026-03-17 14:48:10 UTC; FARREJ2
Author: Jeremy Lynch Farrell [aut, cre]
Maintainer: Jeremy Lynch Farrell <farrej2@rpi.edu>
Repository: CRAN
Date/Publication: 2026-03-20 12:30:02 UTC

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New package BORG with initial version 0.2.5
Package: BORG
Title: Bounded Outcome Risk Guard for Model Evaluation
Version: 0.2.5
Description: Automatically detects and enforces valid model evaluation by identifying information reuse between training and evaluation data. Guards against data leakage, look-ahead bias, and invalid cross-validation schemes that inflate performance estimates. Supports temporal, spatial, and grouped evaluation structures. Based on evaluation principles described in Roberts et al. (2017) <doi:10.1111/ecog.02881>, Kaufman et al. (2012) <doi:10.1145/2382577.2382579>, and Kapoor & Narayanan (2023) <doi:10.1016/j.patter.2023.100804>.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, methods, stats, utils
Suggests: caret, rsample, tidyselect, recipes, mlr3, sf, ranger, parsnip, workflows, xgboost, lightgbm, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/gcol33/BORG, https://gillescolling.com/BORG/
BugReports: https://github.com/gcol33/BORG/issues
Depends: R (>= 3.5)
NeedsCompilation: yes
Packaged: 2026-03-17 12:44:37 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-20 12:30:09 UTC

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New package qadf with initial version 1.0.0
Package: qadf
Title: Quantile Autoregressive Distributed Lag Unit Root Test
Version: 1.0.0
Description: Implements the Quantile Autoregressive Distributed Lag (QADF) unit root test proposed by Koenker and Xiao (2004) <doi:10.1198/016214504000001114>. The test examines unit root behaviour across the conditional distribution of a time series using quantile regression, providing a richer characterisation of persistence than standard ADF tests. Critical values follow Hansen (1995) <doi:10.1017/S0266466600009713>. Lag order selection is supported via AIC, BIC, or the t-statistic sequential testing approach.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, quantreg
Suggests: testthat (>= 3.0.0)
URL: https://github.com/muhammedalkhalaf/qadf
BugReports: https://github.com/muhammedalkhalaf/qadf/issues
NeedsCompilation: no
Packaged: 2026-03-17 01:45:18 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-20 11:50:02 UTC

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New package gcor with initial version 0.1.0
Package: gcor
Title: Generalized Correlation and Related Measures
Version: 0.1.0
Depends: R (>= 4.0.0)
Description: Generalized correlation and related measures for assessing nonlinear relationships between variables, including mixed-type data. For methodological background, see <https://r-suzuki.github.io/gcor/method.html>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/r-suzuki/gcor-r
BugReports: https://github.com/r-suzuki/gcor-r/issues
NeedsCompilation: no
Packaged: 2026-03-17 07:43:15 UTC; ryota
Author: Ryota Suzuki [aut, cre]
Maintainer: Ryota Suzuki <suzuki@ef-prime.com>
Repository: CRAN
Date/Publication: 2026-03-20 11:40:02 UTC

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New package crystract with initial version 1.0.0
Package: crystract
Title: Crystallographic Information File (CIF) Data Processing Tools
Version: 1.0.0
Maintainer: Don Ngo <dngo@carnegiescience.edu>
Description: Provides a suite of functions to parse Crystallographic Information Files (.cif), extracting essential data such as chemical formulas, unit cell parameters, atomic coordinates, and symmetry operations. It also includes tools to calculate interatomic distances, identify bonded pairs using various algorithms (minimum_distance, brunner_nn_reciprocal, econ_nn, crystal_nn), determine nearest neighbor counts, and calculate bond angles. The package is designed to facilitate the preparation of crystallographic data for further analysis, including machine learning applications in materials science. Methods are described in: Brunner (1977) <doi:10.1107/S0567739477000461>; Hoppe (1979) <doi:10.1524/zkri.1979.150.14.23>; O'Keeffe (1979) <doi:10.1107/S0567739479001765>; Shannon (1976) <doi:10.1107/S0567739476001551>; Pan et al. (2021) <doi:10.1021/acs.inorgchem.0c02996>; Pauling (1960, ISBN:978-0801403330).
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: data.table, dplyr, stringr, future, future.apply, geometry
Suggests: DT, ggplot2, htmlwidgets, knitr, plotly, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
URL: https://prabhulab.github.io/ml-crystals/
NeedsCompilation: no
Packaged: 2026-03-17 10:59:58 UTC; carnegieuser
Author: Don Ngo [aut, cre] , Anirudh Prabhu [aut] , Julia-Maria Hubner [aut]
Repository: CRAN
Date/Publication: 2026-03-20 11:50:08 UTC

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New package mixediffusion with initial version 1.0.0
Package: mixediffusion
Title: Mixed-Effects Diffusion Models with General Drift
Description: Provides tools for likelihood-based inference in one-dimensional stochastic differential equations with mixed effects using expectation–maximization (EM) algorithms. The package supports Wiener and Ornstein–Uhlenbeck diffusion processes with user-specified drift functions, allowing flexible parametric forms including polynomial, exponential, and trigonometric structures. Estimation is performed via Markov chain Monte Carlo EM.
Version: 1.0.0
License: GPL-3
Encoding: UTF-8
Imports: dplyr, adaptMCMC
Maintainer: Pedro Abraham Montoya Calzada <pedroabraham.montoya@gmail.com>
Depends: R (>= 4.5)
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-16 22:49:43 UTC; Abraham
Author: Pedro Abraham Montoya Calzada [aut, cre, cph] , Rogelio Salinas Gutierrez [aut, cph] , Silvia Rodriguez-Narciso [aut, cph] , Netzahualcoyotl Castaneda-Leyva [aut, cph]
Repository: CRAN
Date/Publication: 2026-03-20 10:30:02 UTC

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New package ctlr with initial version 0.1.0
Package: ctlr
Title: Clinical Tolerance Limits for Assessing Agreement
Version: 0.1.0
Description: Implements clinical tolerance limits (CTL) methodology for assessing agreement between two measurement methods. Estimates the true latent trait using Best Linear Unbiased Predictors (BLUP), models bias and variance components, and calculates overall and conditional agreement probabilities. Provides visualization tools including tolerance limit plots and conditional probability of agreement plots with confidence bands. This package is based on methods described in Taffé (2016) <doi:10.1177/0962280216666667>, Taffé (2019) <doi:10.1177/0962280219844535>, and 'Stata' package Taffé (2025) <doi:10.1177/1536867X251365501>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
Suggests: testthat (>= 3.0.0), withr (>= 2.0.0)
Imports: binom (>= 1.1-1.1), dplyr (>= 1.1.0), ggplot2 (>= 3.3.0), lme4 (>= 1.1-35), lmtest (>= 0.9-40), MASS (>= 7.3-60), mfp2 (>= 1.0.1), sandwich (>= 3.0-0), stats, utils
NeedsCompilation: no
Packaged: 2026-03-16 18:02:07 UTC; dl-rookie
Author: Eliane Maalouf [aut] , Patrick Taffe [cre, aut, cph]
Maintainer: Patrick Taffe <patrick.taffe@unisante.ch>
Repository: CRAN
Date/Publication: 2026-03-20 10:50:02 UTC

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Thu, 19 Mar 2026

New package readecb with initial version 0.1.2
Package: readecb
Title: Access 'European Central Bank' Data
Version: 0.1.2
Description: Provides clean, tidy access to statistical data published by the 'European Central Bank' ('ECB') via the 'ECB Data Portal' API <https://data.ecb.europa.eu>. Covers policy interest rates, 'EURIBOR', euro exchange rates, harmonised consumer price inflation ('HICP'), euro area yield curves, the euro short-term rate ('ESTR'), monetary aggregates (M1, M2, M3), mortgage and lending rates, GDP, unemployment, and government debt-to-GDP. Each dataset has a dedicated function that abstracts away the underlying 'SDMX' key structure, so users do not need to know series codes. A generic fetcher is also provided for direct access to any of the 'ECB' 100-plus dataflows. Data is downloaded on first use and cached locally for subsequent calls.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://github.com/charlescoverdale/readecb
BugReports: https://github.com/charlescoverdale/readecb/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), tools
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-16 18:12:12 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-19 15:10:02 UTC

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New package fred with initial version 0.1.2
Package: fred
Title: Access 'Federal Reserve Economic Data'
Version: 0.1.2
Description: Provides clean, tidy access to economic data from the 'Federal Reserve Economic Data' ('FRED') API <https://fred.stlouisfed.org/docs/api/fred/>. 'FRED' is maintained by the 'Federal Reserve Bank of St. Louis' and contains over 800,000 time series from 118 sources covering GDP, employment, inflation, interest rates, trade, and more. Dedicated functions fetch series observations, search for series, browse categories, releases, and tags, and retrieve series metadata. Multiple series can be fetched in a single call. Server-side unit transformations (percent change, log, etc.) and frequency aggregation are supported. Data is cached locally for subsequent calls. This product uses the 'FRED' API but is not endorsed or certified by the 'Federal Reserve Bank of St. Louis'.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/charlescoverdale/fred
BugReports: https://github.com/charlescoverdale/fred/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), tools
Suggests: testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-03-16 18:12:16 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-19 15:10:08 UTC

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New package wf with initial version 0.0.1
Package: wf
Title: Artificial Intelligence Workflow Tools
Version: 0.0.1
Description: Manage skills for large language model coding agents. Supports installing skills from 'GitHub' or local directories, tracking versions in a lock file, and keeping installations current. Installations can be scoped to a single project or shared globally across projects.
URL: https://christophertkenny.com/wf/, https://github.com/christopherkenny/wf
BugReports: https://github.com/christopherkenny/wf/issues
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli (>= 3.6.0), fs, gh, jsonlite, rlang (>= 1.1.0), yaml
Suggests: testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-03-15 22:39:56 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>
Repository: CRAN
Date/Publication: 2026-03-19 14:40:02 UTC

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New package starburst with initial version 0.3.8
Package: starburst
Title: Seamless AWS Cloud Bursting for Parallel R Workloads
Version: 0.3.8
Description: A 'future' backend that enables seamless execution of parallel R workloads on 'Amazon Web Services' ('AWS', <https://aws.amazon.com>), including 'EC2' and 'Fargate'. 'staRburst' handles environment synchronization, data transfer, quota management, and worker orchestration automatically, allowing users to scale from local execution to 100+ cloud workers with a single line of code change.
License: Apache License 2.0
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: future (>= 1.33.0), globals, paws.compute, paws.storage, paws.management, paws.security.identity, qs2, uuid, renv, jsonlite, crayon, digest, base64enc, processx
Suggests: future.apply, testthat (>= 3.0.0), knitr, rmarkdown, withr, mockery
VignetteBuilder: knitr
URL: https://starburst.ing, https://github.com/scttfrdmn/starburst
BugReports: https://github.com/scttfrdmn/starburst/issues
NeedsCompilation: no
Packaged: 2026-03-16 00:17:30 UTC; scttfrdmn
Author: Scott Friedman [aut, cre]
Maintainer: Scott Friedman <help@starburst.ing>
Repository: CRAN
Date/Publication: 2026-03-19 14:50:02 UTC

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New package readnoaa with initial version 0.1.1
Package: readnoaa
Title: Access 'NOAA' Climate and Weather Data
Version: 0.1.1
Description: Provides clean, tidy access to climate and weather data from the 'National Oceanic and Atmospheric Administration' ('NOAA') via the 'National Centers for Environmental Information' ('NCEI') Data Service API <https://www.ncei.noaa.gov/access/services/data/v1>. Covers daily weather observations, monthly and annual summaries, and 30-year climate normals from over 100,000 stations across 180 countries. No API key is required. Dedicated functions handle the most common datasets, while a generic fetcher provides access to all 'NCEI' datasets. Station discovery functions help users find stations by location or name. Data is downloaded on first use and cached locally for subsequent calls. This package is not endorsed or certified by 'NOAA'.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/charlescoverdale/readnoaa
BugReports: https://github.com/charlescoverdale/readnoaa/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), tools
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-16 17:54:01 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre, cph]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-19 15:00:02 UTC

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New package rainerosr with initial version 0.1.1
Package: rainerosr
Title: Calculate Rainfall Intensity and Erosivity Indices
Version: 0.1.1
Description: Calculates I30 (maximum 30-minute rainfall intensity) and EI30 (erosivity index) from rainfall breakpoint data. Supports multiple storm events, rainfall validation, and visualization for soil erosion modeling and hydrological analysis. Methods are based on Brown and Foster (1987) <doi:10.13031/2013.30422>, Wischmeier and Smith (1978) "Predicting Rainfall Erosion Losses: A Guide to Conservation Planning" <doi:10.22004/ag.econ.171903>, and Renard et al. (1997) "Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE)" (USDA Agriculture Handbook No. 703).
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), lubridate (>= 1.9.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-16 09:21:55 UTC; acer
Author: Sadikul Islam [aut, cre]
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-19 14:50:10 UTC

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New package predictset with initial version 0.3.0
Package: predictset
Title: Conformal Prediction and Uncertainty Quantification
Version: 0.3.0
Description: Implements conformal prediction methods for constructing prediction intervals (regression) and prediction sets (classification) with finite-sample coverage guarantees. Methods include split conformal, 'CV+' and 'Jackknife+' (Barber et al. 2021) <doi:10.1214/20-AOS1965>, 'Conformalized Quantile Regression' (Romano et al. 2019) <doi:10.48550/arXiv.1905.03222>, 'Adaptive Prediction Sets' (Romano, Sesia, Candes 2020) <doi:10.48550/arXiv.2006.02544>, 'Regularized Adaptive Prediction Sets' (Angelopoulos et al. 2021) <doi:10.48550/arXiv.2009.14193>, Mondrian conformal prediction for group-conditional coverage (Vovk et al. 2005), weighted conformal prediction for covariate shift (Tibshirani et al. 2019), and adaptive conformal inference for sequential prediction (Gibbs and Candes 2021). All methods are distribution-free and provide calibrated uncertainty quantification without parametric assumptions. Works with any model that can produce predictions from new data, inclu [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/charlescoverdale/predictset
BugReports: https://github.com/charlescoverdale/predictset/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), grDevices, graphics, stats
Suggests: testthat (>= 3.0.0), ranger, ggplot2, knitr, rmarkdown, parsnip (>= 1.0.0), probably, rsample, workflows
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-14 17:10:13 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre, cph]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-19 14:50:15 UTC

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New package openaq with initial version 1.0.0
Package: openaq
Title: Access Air Quality Data from the 'OpenAQ' API
Description: Provides an interface to the 'OpenAQ' API <https://openaq.org/>, a platform for real-time and historical air quality data from around the world. Users can retrieve measurement data, metadata for sensors and locations for air quality research and monitoring.
Version: 1.0.0
License: MIT + file LICENSE
URL: https://github.com/openaq/openaq-r, https://openaq.github.io/openaq-r/
BugReports: https://github.com/openaq/openaq-r/issues
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.2.0), rstudioapi, methods, lubridate
Suggests: testthat (>= 3.0.0), webmockr (>= 0.8.0), vcr (>= 2.1.0), withr (>= 3.0.2), knitr, maps, rmarkdown, sf (>= 0.9), spelling, jsonlite, mockery,
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-16 00:02:57 UTC; russbiggs
Author: Russ Biggs [aut, cre] , Christian Parker [aut], Francesca Mills [ctb], OpenAQ [cph, fnd]
Maintainer: Russ Biggs <russ@openaq.org>
Repository: CRAN
Date/Publication: 2026-03-19 14:50:21 UTC

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New package ml with initial version 0.1.2
Package: ml
Title: Supervised Learning with Mandatory Splits and Seeds
Version: 0.1.2
Description: Implements the split-fit-evaluate-assess workflow from Hastie, Tibshirani, and Friedman (2009, ISBN:978-0-387-84857-0) "The Elements of Statistical Learning", Chapter 7. Provides three-way data splitting with automatic stratification, mandatory seeds for reproducibility, automatic data type handling, and 10 algorithms out of the box. Uses 'Rust' backend for cross-language deterministic splitting. Designed for tabular supervised learning with minimal ceremony. Polyglot parity with the 'Python' 'mlw' package on 'PyPI'.
License: MIT + file LICENSE
SystemRequirements: Cargo ('Rust' package manager), rustc (>= 1.56.0, optional)
Encoding: UTF-8
URL: https://github.com/epagogy/ml, https://epagogy.ai
BugReports: https://github.com/epagogy/ml/issues
Depends: R (>= 4.1.0)
Imports: cli, rlang, stats, utils, withr
Suggests: testthat (>= 3.0.0), xgboost (>= 2.0.0), ranger, rpart, e1071, kknn, glmnet, naivebayes, lightgbm, tm, tibble, knitr, rmarkdown, caret, rsample
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-15 12:07:30 UTC; simon
Author: Simon Roth [aut, cre]
Maintainer: Simon Roth <simon@epagogy.ai>
Repository: CRAN
Date/Publication: 2026-03-19 14:30:02 UTC

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New package MIRDD with initial version 0.1.0
Package: MIRDD
Title: Diagnostic Tool by Multiple Imputation for Regression Discontinuity Designs
Version: 0.1.0
Description: Estimates local average treatment effects based on regression discontinuity designs (RDD) and multiple imputation regression discontinuity designs (MIRDD). It provides diagnostic tools for RDD by comparing results with those from MIRDD, as proposed in Takahashi (2023) <doi:10.1080/03610918.2021.1960374>.
License: GPL-3
Encoding: UTF-8
Imports: Amelia, rdrobust, stats, graphics
NeedsCompilation: no
Packaged: 2026-03-14 08:52:40 UTC; masay
Author: Masayoshi Takahashi [aut, cre]
Maintainer: Masayoshi Takahashi <mtakahashi615@g.chuo-u.ac.jp>
Repository: CRAN
Date/Publication: 2026-03-19 14:10:08 UTC

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New package infoxtr with initial version 0.1
Package: infoxtr
Title: Information-Theoretic Measures for Revealing Variable Interactions
Version: 0.1
Description: Implements information-theoretic measures to explore variable interactions, including ksg mutual information estimation for continuous variables from Kraskov et al. (2004) <doi:10.1103/PhysRevE.69.066138>, knockoff conditional mutual information described in Zhang & Chen (2025) <doi:10.1126/sciadv.adu6464>, synergistic-unique-redundant decomposition as introduced by Martinez-Sanchez et al. (2024) <doi:10.1038/s41467-024-53373-4>, allowing detection of complex and diverse relationships among variables.
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/infoxtr/, https://github.com/stscl/infoxtr
BugReports: https://github.com/stscl/infoxtr/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppThread,
Imports: methods, sdsfun, sf, terra
Suggests: knitr, Rcpp, RcppThread, readr, rmarkdown, spEDM, tEDM
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-16 15:10:08 UTC; dell
Author: Wenbo Lyu [aut, cre, cph]
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-19 15:00:08 UTC

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New package fitnmr with initial version 1.0
Package: fitnmr
Version: 1.0
Title: Multidimensional Nuclear Magnetic Resonance Peak Fitting and Analysis
Description: Tools for fitting and analyzing 1D-4D nuclear magnetic resonance spectra with analytical models of peak shapes and peak groups. The package reads spectra in 'NMRPipe' format, builds constrained parameter structures for chemical shifts, line widths, scalar couplings, volumes, and phases, and performs nonlinear least-squares optimization for iterative peak discovery or simultaneous fits across multiple spectra. It also provides methods for visualization, preprocessing, and kinetic analysis of 1D time-series data, including automated phase optimization, solvent suppression, time-domain correction for frequency shifts and line broadening, modeling spectra as linear combinations of two component spectra, and exponential rate fitting.
License: GPL-3
URL: https://github.com/smith-group/fitnmr/, https://smith-group.github.io/fitnmr/
Imports: minpack.lm, abind, Matrix, methods
Encoding: UTF-8
Suggests: knitr, rmarkdown, bookdown, gslnls
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-14 17:35:46 UTC; colin
Author: Colin Smith [aut, cre]
Maintainer: Colin Smith <colin.smith@wesleyan.edu>
Repository: CRAN
Date/Publication: 2026-03-19 14:50:29 UTC

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New package DESNP with initial version 0.1.0
Package: DESNP
Title: Differentially Expressed Single Nucleotide Polymorphism
Version: 0.1.0
Maintainer: Sayanti Guha Majumdar <sayanti23gm@gmail.com>
Description: Provides a framework for the identification and analysis of Differentially Expressed Single Nucleotide Polymorphisms (deSNPs) using high-throughput sequencing data. It enables users to import SNP count data from variant files, perform allele-specific read count extraction, and statistically detect SNPs showing significant differences in allele expression between biological conditions or sample groups. This package contains tools for calculating SNP-index and Delta SNP-index from VCF-derived allele depth data with statistical testing and filtering, including sliding-window analysis of genomic regions.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: vcfR, dplyr, tidyr, magrittr, tidyselect, VGAM, stats, utils, GenomicRanges, IRanges, S4Vectors, GenomeInfoDb, tools, ggplot2
NeedsCompilation: no
Packaged: 2026-03-16 11:54:30 UTC; HP
Author: Sayanti Guha Majumdar [aut, cre], Saima Bano [aut], Nandita Banerjee [aut], Rahul Kumar Tiwari [aut], Dipro Sinha [aut], Subham Ghosh [aut], Sanjeev Kumar [aut]
Repository: CRAN
Date/Publication: 2026-03-19 15:00:22 UTC

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New package Desimml with initial version 0.1.4
Package: Desimml
Title: Distributed Estimation in Single-Index Models with Multiple Links ('Desimml')
Version: 0.1.4
Description: Provides a user-friendly wrapper for fitting Distributed Single-Index Models with Multiple Links ('SIMML'). It estimates a linear combination (single-index) of baseline covariates X and models the treatment-specific outcome y via treatment-specific, non-parametrically estimated link functions. This allows flexible modelling of complex relationships between covariates, treatments and outcomes.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, mgcv
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-13 04:09:02 UTC; 86198
Author: Guangbao Guo [aut, cre]
Maintainer: Guangbao Guo <ggb11111111@163.com>
VignetteBuilder: knitr
Repository: CRAN
Date/Publication: 2026-03-19 14:40:07 UTC

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New package BTWAR with initial version 1.0.1
Package: BTWAR
Title: Butterworth-Induced Autoregressive Model
Version: 1.0.1
Description: Implements the Butterworth-Induced Autoregressive ('BTWAR') model, where autoregressive coefficients are obtained from analog Butterworth filter prototypes mapped into the discrete-time domain using the Matched Z-Transform. The framework establishes a structured connection between frequency-domain filter design and time-domain autoregressive modeling. Model order selection is performed via nested rolling-origin cross-validation. Method described in Bras-Geraldes, Rocha and Martins (2026) <doi:10.3390/math14030479>.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Imports: ggplot2, pracma, tseries, scales
Suggests: knitr, rmarkdown, spelling
VignetteBuilder: knitr
URL: https://doi.org/10.3390/math14030479, https://github.com/cgeraldes/BTWAR
BugReports: https://github.com/cgeraldes/BTWAR/issues
Packaged: 2026-03-15 19:33:25 UTC; carlosgeraldes
Author: Carlos Bras-Geraldes [aut, cre, cph], J. Leonel Rocha [aut, cph]
Maintainer: Carlos Bras-Geraldes <cgeraldes@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-19 14:40:12 UTC

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New package achieveGap with initial version 0.1.0
Package: achieveGap
Title: Modeling Achievement Gap Trajectories with Hierarchical Penalized Splines
Version: 0.1.0
Description: Implements a hierarchical penalized spline framework for estimating achievement gap trajectories in longitudinal educational data. The achievement gap between two groups (e.g., low versus high socioeconomic status) is modeled directly as a smooth function of grade while the baseline trajectory is estimated simultaneously within a mixed-effects model. Smoothing parameters are selected using restricted maximum likelihood (REML), and simultaneous confidence bands with correct joint coverage are constructed using posterior simulation. The package also includes functions for simulation-based benchmarking, visualization of gap trajectories, and hypothesis testing for global and grade-specific differences. The modeling framework builds on penalized spline methods (Eilers and Marx, 1996, <doi:10.1214/ss/1038425655>) and generalized additive modeling approaches (Wood, 2017, <doi:10.1201/9781315370279>), with uncertainty quantification following Marra and Wood (2012, <doi:10.1111/ [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: mgcv (>= 1.9-0), lme4 (>= 1.1-0), MASS (>= 7.3-0), ggplot2 (>= 3.4.0)
Suggests: knitr (>= 1.36), rmarkdown (>= 2.11), testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/achieveGap
BugReports: https://github.com/causalfragility-lab/achieveGap/issues
NeedsCompilation: no
Packaged: 2026-03-14 05:05:13 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-03-19 14:10:02 UTC

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New package optimizr with initial version 1.0.1
Package: optimizr
Title: Further Numerical Optimization Algorithms
Version: 1.0.1
Description: A collection of numerical optimization algorithms. One is a simple implementation of the primitive grid search algorithm, the other is an extension of the simulated annealing algorithm that can take custom boundaries into account. The methodology for this bounded simulated annealing algorithm is due to Haario and Saksman (1991), <doi:10.2307/1427681>.
Imports: stats, progressr, future.apply
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), doFuture
NeedsCompilation: no
Packaged: 2026-03-13 10:22:46 UTC; Lukas
Author: Lukas D Sauer [aut, cre]
Maintainer: Lukas D Sauer <sauer@imbi.uni-heidelberg.de>
Repository: CRAN
Date/Publication: 2026-03-19 13:20:02 UTC

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New package gtheoryr with initial version 0.1.0
Package: gtheoryr
Title: Simple Generalizability Theory for Crossed and Nested Designs
Version: 0.1.0
Description: Provides a small, beginner-friendly interface for estimating variance components in simple generalizability theory designs. The package currently supports a fully crossed persons-by-items design and a simple items-within-person nested design, along with design-study summaries for relative and absolute decisions.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-15 10:16:45 UTC; Ujjwa
Author: Ujjwal Tyagi [aut, cre]
Maintainer: Ujjwal Tyagi <ujjwaltyagiii@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-19 13:50:10 UTC

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New package crstools with initial version 1.0.0
Package: crstools
Title: Tools to Work with Projections
Version: 1.0.0
Description: Choose the appropriate map projection for a given application, visualise the resulting distortion, and georeference data from unknown projections. The full functionalities of the package are described in Pozzi et al. (2026) <doi:10.31223/X5K17P> (pre-print).
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: sf, ggplot2, terra, cli, jpeg, rlang
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pastclim, rnaturalearth, rnaturalearthdata, tidyterra, svglite, spelling
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2026-03-14 18:13:09 UTC; andrea
Author: Andrea Manica [aut, cre] , Andrea Pozzi [aut], Cecilia Padilla-Iglesias [aut], Evie Carter [aut], Michela Leonardi [aut], Aramish Fatima [aut], Ondrej Pelanek [aut], Nile Stephenson [aut], Margherita Colucci [aut], Dominik C Jud [aut], Cassandra Guna [...truncated...]
Maintainer: Andrea Manica <am315@cam.ac.uk>
Repository: CRAN
Date/Publication: 2026-03-19 13:30:02 UTC

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New package cointsmall with initial version 1.0.2
Package: cointsmall
Title: Cointegration Tests with Structural Breaks in Small Samples
Version: 1.0.2
Description: Implements cointegration tests with structural breaks designed for small sample sizes, following the methodology of Trinh (2022) <https://ideas.repec.org/p/ema/worpap/2022-01.html>. Supports models with no breaks, breaks in constant only, and breaks in both constant and slope. Provides endogenous break date detection using ADF or SSR minimization criteria, with small-sample adjusted critical values via response surface methodology.
License: GPL-3
URL: https://github.com/muhammedalkhalaf/cointsmall
BugReports: https://github.com/muhammedalkhalaf/cointsmall/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-13 20:45:25 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Hoang Huy Trinh [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-19 14:00:02 UTC

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New package baskwrap with initial version 1.0.3
Package: baskwrap
Title: Wrapper Package for Several Basket Trial R Packages
Version: 1.0.3
Description: A simple interface to switch between two methods for calculating basket trial characteristics, numerical integration ("exact") and Monte Carlo simulation ("simulated") for the basket trial design by Fujikawa et al. 2020 <doi:10.1002/bimj.201800404>. The exact implementation is from the 'baskexact' package, see Baumann (2024) <doi:10.1016/j.softx.2024.101793>. The simulated implementation is from the 'basksim' package, which was developed for Baumann et al. (2024) <doi:10.1080/19466315.2024.2402275>. The package's syntax is compatible with the 'basksim' syntax and easily extendable.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: basksim (>= 0.1.0), baskexact
URL: https://github.com/LukasDSauer/baskwrap
BugReports: https://github.com/LukasDSauer/baskwrap/issues
Suggests: testthat (>= 3.0.0), here, reticulate, ggplot2
NeedsCompilation: no
Packaged: 2026-03-13 10:22:08 UTC; Lukas
Author: Lukas D Sauer [aut, cre]
Maintainer: Lukas D Sauer <sauer@imbi.uni-heidelberg.de>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-03-19 13:20:12 UTC

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New package arl with initial version 0.1.4
Package: arl
Title: Embedded Lisp Dialect
Version: 0.1.4
Description: Provides a Scheme-inspired Lisp dialect embedded in R, with macros, tail-call optimization, and seamless interoperability with R functions and data structures. (The name 'arl' is short for 'An R Lisp.') Implemented in pure R with no compiled code.
License: MIT + file LICENSE
Depends: R (>= 4.0)
Imports: R6 (>= 2.5.0)
Suggests: testthat (>= 3.0.0), covr (>= 3.6.0), lintr (>= 3.3.0), withr (>= 2.5.0), profvis (>= 0.3.7), bench (>= 1.1.2), jsonlite (>= 2.0.0), knitr (>= 1.51), rmarkdown (>= 2.30), jinjar (>= 0.3.0)
URL: https://github.com/wwbrannon/arl, https://doi.org/10.5281/zenodo.18740487
BugReports: https://github.com/wwbrannon/arl/issues
Language: en-US
Encoding: UTF-8
ByteCompile: true
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2026-03-14 01:48:19 UTC; will
Author: William Brannon [aut, cre, cph]
Maintainer: William Brannon <will.brannon+cran@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-19 14:00:09 UTC

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New package aboveR with initial version 0.1.0
Package: aboveR
Title: 'LiDAR' Terrain Analysis and Change Detection from Above
Version: 0.1.0
Description: Terrain change detection, cut and fill volume estimation, terrain profiling, reclamation monitoring, erosion analysis, and flood risk assessment from 'LiDAR' (Light Detection and Ranging) point clouds and digital elevation models ('DEMs'). Applications include surface mine reclamation monitoring, sediment pond capacity tracking, highwall safety classification, and erosion channel detection. Built on 'lidR' for point cloud I/O and 'terra' for raster operations. Includes access utilities for 'KyFromAbove' cloud-native elevation data on Amazon Web Services ('AWS') <https://kyfromabove.ky.gov/>. Methods for terrain change detection and volume estimation follow Li and others (2005) <doi:10.1016/j.geomorph.2004.10.007>.
License: MIT + file LICENSE
URL: https://github.com/chrislyonsKY/aboveR
BugReports: https://github.com/chrislyonsKY/aboveR/issues
Depends: R (>= 4.1.0)
Imports: lidR, terra, sf
Suggests: rstac, httr2, cli, rgl, mapview, ggplot2, whitebox, testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-12 20:48:19 UTC; chrislyons
Author: Chris Lyons [aut, cre]
Maintainer: Chris Lyons <chris.lyons@ky.gov>
Repository: CRAN
Date/Publication: 2026-03-19 13:10:10 UTC

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Wed, 18 Mar 2026

New package tabpfn with initial version 0.1.0
Package: tabpfn
Title: Prior-Data Fitted Network Foundational Model for Tabular Data
Version: 0.1.0
Description: Provides a consistent API for classification and regression models based on the 'TabPFN' model of Hollmann et al. (2025), "Accurate predictions on small data with a tabular foundation model," Nature, 637(8045) <doi:10.1038/s41586-024-08328-6>. The calculations are served via 'Python' to train and predict the model.
License: Apache License (>= 2)
URL: https://tabpfn.tidymodels.org, https://github.com/tidymodels/tabpfn
BugReports: https://github.com/tidymodels/tabpfn/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, generics, hardhat, purrr, reticulate (>= 1.41.0.1), rlang (>= 1.1.0), tibble
Suggests: covr, modeldata, recipes, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-13 13:02:41 UTC; max
Author: Max Kuhn [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>
Repository: CRAN
Date/Publication: 2026-03-18 10:30:02 UTC

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New package synopR with initial version 0.2.2
Package: synopR
Title: Tidy Decoding of SYNOP (Surface Synoptic Observations) Meteorological Messages
Version: 0.2.2
Description: Decode raw SYNOP (surface synoptic observations) messages into tidy data frames. Supports batch processing of messages from the same station, extracting data from Sections 0, 1, and 3, including temperature, dew point, pressure, wind, clouds, and precipitation. The decoding logic follows the specifications defined in the World Meteorological Organization (2019) "Manual on Codes, Volume I.1 (WMO-No. 306)" <https://library.wmo.int/idurl/4/35713>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, stringr, tidyr, purrr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://ezequiel1593.github.io/synopR/
BugReports: https://github.com/ezequiel1593/synopR/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-13 13:14:27 UTC; eleze
Author: Ezequiel Elias [aut, cre]
Maintainer: Ezequiel Elias <elezeru15@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-03-18 10:30:07 UTC

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New package SCIproj with initial version 1.0.0
Package: SCIproj
Title: Creates a Scientific Project Skeleton as an R Package
Version: 1.0.0
Description: Provides a template for new research projects structured as an R package-based research compendium. Everything - data, R scripts, custom functions and manuscript or reports - is contained within the same package to facilitate collaboration and promote reproducible research, following the FAIR principles.
Language: en-US
License: MIT + file LICENSE
Depends: R(>= 4.1.0)
Imports: usethis (>= 2.0.0), rstudioapi
Suggests: knitr, renv, rmarkdown, targets, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://github.com/saskiaotto/SCIproj
BugReports: https://github.com/saskiaotto/SCIproj/issues
NeedsCompilation: no
Packaged: 2026-03-13 14:49:55 UTC; saskiaotto
Author: Saskia Otto [aut, cre, cph]
Maintainer: Saskia Otto <saskia.a.otto@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-18 10:50:10 UTC

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New package episomer with initial version 3.0.32
Package: episomer
Title: Early Detection of Public Health Threats from Social Media Data
Version: 3.0.32
Description: It allows you to automatically monitor trends of social media messages by time, place and topic aiming at detecting public health threats early through the detection of signals (i.e., an unusual increase in the number of messages per time, topic and location). It was designed to focus on infectious diseases, and it can be extended to all hazards or other fields of study by modifying the topics and keywords. More information on the original package 'epitweetr' is available in the peer-review publication Espinosa et al. (2022) <doi:10.2807/1560-7917.ES.2022.27.39.2200177>.
License: EUPL
URL: https://github.com/EU-ECDC/episomer
BugReports: https://github.com/EU-ECDC/episomer/issues
Encoding: UTF-8
Imports: dplyr, curl, DT, emayili, future, httr, htmltools, jsonlite, keyring, ggplot2, janitor, magrittr, parallel, plotly, processx, readxl, rlang, rmarkdown, rnaturalearthdata, openxlsx, shiny, stringr, stats, tibble, tools, utils, xtable, httr2, lubridate, sf, cli
Suggests: knitr, taskscheduleR, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-13 08:03:33 UTC; fod
Author: Laura Espinosa [aut, fnd, cre] , Francisco Orchard [aut, ctr] , Gianfranco Spiteri [ctb, fnd], Ariana Wijermans [ctb] , Thomas Mollet [ctb] , Adrian Prodan [ctb], Martin Norling [ctb], Enrique Delgado [ctb], Thomas Czernichow [ctb], Maria Prieto Gonz [...truncated...]
Maintainer: Laura Espinosa <laura.espinosa@ecdc.europa.eu>
Repository: CRAN
Date/Publication: 2026-03-18 10:50:02 UTC

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New package datadiff with initial version 0.4.4
Package: datadiff
Title: Data Validation Based on YAML Rules
Version: 0.4.4
Description: A comprehensive data validation package that allows comparing datasets using configurable validation rules defined in 'YAML' files. Built on top of the 'pointblank' package for robust data validation, it supports exact matching, tolerance-based numeric comparisons, text normalization, and row count validation.
License: MIT + file LICENSE
Depends: R (>= 4.0.0)
Imports: dplyr (>= 1.0.0), pointblank (>= 0.12.3), rlang (>= 0.4.0), stats, tidyselect (>= 1.0.0), utils, yaml (>= 2.2.0)
Suggests: arrow, DBI, dbplyr, duckdb, knitr, rmarkdown, RSQLite, stringr, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
URL: https://github.com/ThinkR-open/datadiff
BugReports: https://github.com/ThinkR-open/datadiff/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-13 15:06:32 UTC; PC
Author: Vincent Guyader [cre, aut] , ThinkR [cph], Agence technique de l'information sur l'hospitalisation [spn]
Maintainer: Vincent Guyader <vincent@thinkr.fr>
Repository: CRAN
Date/Publication: 2026-03-18 11:00:02 UTC

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New package bdlnm with initial version 0.1.0
Package: bdlnm
Title: Bayesian Distributed Lag Non-Linear Models (B-DLNM)
Version: 0.1.0
Description: A Bayesian framework for estimating distributed lag linear and non-linear models. Model fitting is implemented using Integrated Nested Laplace Approximation (R package 'INLA'), together with prediction and visualization of exposure-lag-response associations. Additional functions allow estimation of optimal exposure values (e.g., minimum mortality temperature) and computation of attributable fractions and numbers. Models with 'crossbasis' or 'onebasis' terms are supported (R package 'dlnm').
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/pasahe/bdlnm
BugReports: https://github.com/pasahe/bdlnm/issues
Depends: R (>= 4.4)
LazyData: true
VignetteBuilder: knitr
Imports: dlnm, cli, tsModel, crs, graphics, grDevices, stats, utils
Suggests: INLA (>= 23.4.24), knitr, rmarkdown, testthat (>= 3.0.0), sn, splines, tidyr, lubridate, ggplot2
Additional_repositories: https://inla.r-inla-download.org/R/stable
NeedsCompilation: no
Packaged: 2026-03-13 12:11:22 UTC; psatorra
Author: Pau Satorra [aut, cre] , Marcos Quijal-Zamorano [aut], Joan Ballester [aut], Cristian Tebe [ctb], Miguel A. Martinez-Beneito [aut, ths], Marc Mari-Dell'Olmo [aut, ths]
Maintainer: Pau Satorra <psatorra@igtp.cat>
Repository: CRAN
Date/Publication: 2026-03-18 10:20:02 UTC

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New package mnpPlasmonR with initial version 0.1.0
Package: mnpPlasmonR
Title: Optical Response of Metallic Nanoparticles (Drude + Rayleigh)
Version: 0.1.0
Description: Computes dielectric response and optical cross-sections of metallic nanoparticles using Drude dielectric model and Rayleigh approximation.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-12 23:30:29 UTC; runner
Author: Galih Ridho Utomo [aut, cre]
Maintainer: Galih Ridho Utomo <g4lihru@students.unnes.ac.id>
Repository: CRAN
Date/Publication: 2026-03-18 08:40:02 UTC

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Tue, 17 Mar 2026

New package soilVAE with initial version 0.1.9
Package: soilVAE
Title: Supervised Variational Autoencoder Regression via 'reticulate'
Version: 0.1.9
Description: Supervised latent-variable regression for high-dimensional predictors such as soil reflectance spectra. The model uses an encoder-decoder neural network with a stochastic Gaussian latent representation regularized by a Kullback-Leibler term, and a supervised prediction head trained jointly with the reconstruction objective. The implementation interfaces R with a 'Python' deep-learning backend and provides utilities for training, tuning, and prediction.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: reticulate, stats
Suggests: knitr, rmarkdown, prospectr, pls
VignetteBuilder: knitr
SystemRequirements: Python (>= 3.9); TensorFlow (>= 2.13); Keras (>= 3)
URL: https://hugomachadorodrigues.github.io/soilVAE/, https://github.com/HugoMachadoRodrigues/soilVAE/
BugReports: https://github.com/HugoMachadoRodrigues/soilVAE/issues
NeedsCompilation: no
Packaged: 2026-03-12 21:02:56 UTC; rodrigues.h
Author: Hugo Rodrigues [aut, cre]
Maintainer: Hugo Rodrigues <rodrigues.machado.hugo@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-03-17 19:10:02 UTC

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New package savvyPR with initial version 0.1.0
Package: savvyPR
Title: Savvy Parity Regression Model Estimation with 'savvyPR'
Version: 0.1.0
Description: Implements the Savvy Parity Regression 'savvyPR' methodology for multivariate linear regression analysis. The package solves an optimization problem that balances the contribution of each predictor variable to ensure estimation stability in the presence of multicollinearity. It supports two distinct parameterization methods, a Budget-based approach that allocates a fixed loss contribution to each predictor, and a Target-based approach (t-tuning) that utilizes a relative elasticity weight for the response variable. The package provides comprehensive tools for model estimation, risk distribution analysis, and parameter tuning via cross-validation (PR1, PR2, and PR3 model types) to optimize predictive accuracy. Methods are based on Asimit, Chen, Ichim and Millossovich (2026) <https://openaccess.city.ac.uk/id/eprint/35005/>.
License: GPL (>= 3)
URL: https://ziwei-chenchen.github.io/savvyPR/
BugReports: https://github.com/ziwei-chenchen/savvyPR/issues
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: glmnet, Matrix, stats, nleqslv, ggplot2, gridExtra
Suggests: MASS, knitr, rmarkdown, testthat (>= 3.0.0), covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-12 17:25:43 UTC; lanceyun
Author: Ziwei Chen [aut, cre] , Vali Asimit [aut] , Pietro Millossovich [aut]
Maintainer: Ziwei Chen <Ziwei.Chen.3@citystgeorges.ac.uk>
Repository: CRAN
Date/Publication: 2026-03-17 19:10:08 UTC

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New package RedeAgroRadar with initial version 0.1.1
Package: RedeAgroRadar
Title: Weather Radar Monitoring and 'Telegram' Alerts for Agriculture Research
Version: 0.1.1
Description: Provides tools to download, process, and analyze real-time meteorological radar images from Simepar (Paraná, Brazil) <https://www.simepar.br/simepar/radar_msc>. Designed to support the 'Rede Agropesquisa' hydrological monitoring, it includes functions to detect rainfall intensity based on Red, Green, and Blue (RGB) color values within predefined circular study areas. Features automated integration with the 'Telegram Bot API' <https://core.telegram.org/bots/api> to send spatialized image alerts and an interactive 'shiny' dashboard for easy configuration and continuous weather tracking.
License: GPL-3
Encoding: UTF-8
Language: pt-BR
Imports: httr, magick, shiny, bslib
URL: https://github.com/santoshbdias/RedeAgroRadar
BugReports: https://github.com/santoshbdias/RedeAgroRadar/issues
NeedsCompilation: no
Packaged: 2026-03-12 18:59:50 UTC; SantosHBDias
Author: Santos Henrique Brant Dias [aut, cre] , Stephanie Abisag Saez Meyer Piazza [aut] , Edison Schmidt Filho [aut]
Maintainer: Santos Henrique Brant Dias <santoshbdias@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-17 19:10:26 UTC

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New package fqardl with initial version 1.0.2
Package: fqardl
Title: Fourier ARDL Methods: Quantile, Nonlinear, Multi-Threshold & Unit Root Tests
Version: 1.0.2
Date: 2026-02-25
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Description: Comprehensive implementation of advanced ARDL methodologies for cointegration analysis with structural breaks and asymmetric effects. Includes: (1) Fourier Quantile ARDL (FQARDL) - quantile regression with Fourier approximation for analyzing relationships across the conditional distribution; (2) Fourier Nonlinear ARDL (FNARDL) - asymmetric cointegration with partial sum decomposition following Shin, Yu & Greenwood-Nimmo (2014) <doi:10.1007/978-1-4899-8008-3_9>; (3) Multi-Threshold NARDL (MTNARDL) - multiple regime asymmetry analysis; (4) Fourier Unit Root Tests - ADF and KPSS tests with Fourier terms following Enders & Lee (2012) <doi:10.1016/j.econlet.2012.05.019> and Becker, Enders & Lee (2006) <doi:10.1111/j.1467-9892.2006.00490.x>. Features automatic lag and frequency selection, PSS bounds testing following Pesaran, Shin & Smith (2001) <doi:10.1002/jae.616>, bootstrap cointegration tests, Wald tests for asymmetry, dynamic multiplier computati [...truncated...]
License: GPL-3
URL: https://github.com/muhammedalkhalaf/fqardl
BugReports: https://github.com/muhammedalkhalaf/fqardl/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: quantreg (>= 5.0), ggplot2 (>= 3.0.0), tidyr, gridExtra, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, plotly, covr
NeedsCompilation: no
Packaged: 2026-03-12 17:56:21 UTC; acad_
Repository: CRAN
Date/Publication: 2026-03-17 19:10:14 UTC

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New package ememax with initial version 0.1.0
Package: ememax
Title: Estimation for Binary Emax Models with Missing Responses and Bias Reduction
Version: 0.1.0
Description: Provides estimation utilities for binary Emax dose-response models. Includes Expectation-Maximization based maximum likelihood estimation when the binary response is missing, as well as bias-reduced estimators including Jeffreys-penalized likelihood, Firth-score, and Cox-Snell corrections.The methodology is described in Zhang, Pradhan, and Zhao (2025) <doi:10.1177/09622802251403356> and Zhang, Pradhan, and Zhao (2026) <doi:10.1080/10543406.2026.2627387>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0), clinDR (>= 2.5.2)
Imports: BB, brglm, boot, formula.tools, MASS, maxLik, numDeriv, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-12 21:13:36 UTC; jiangshanzhang
Author: Jiangshan Zhang [aut, cre], Vivek Pradhan [aut], Yuxi Zhao [aut]
Maintainer: Jiangshan Zhang <jiszhang@ucdavis.edu>
Repository: CRAN
Date/Publication: 2026-03-17 19:10:20 UTC

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New package cdcanthro with initial version 0.1.0
Package: cdcanthro
Title: Sex- and Age-Standardized Metrics from the Centers for Disease and Control (CDC) Growth Charts
Version: 0.1.0
Description: Calculation of sex- and age-standardized growth metrics based on the 2000 CDC growth charts. Provides functions to generate z-scores and percentiles for weight, height, and BMI using the LMS method (lambda-mu-sigma). Includes extended BMI-z scores for values above the 95th percentile to more accurately characterize the sex- and age-standardized BMI of children with very high BMIs.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: data.table, stats
NeedsCompilation: no
Packaged: 2026-03-12 16:42:52 UTC; davidfreedman
Author: David Freedman [aut, cre]
Maintainer: David Freedman <DavidSFreedman@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-17 19:00:17 UTC

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New package TransHDM with initial version 1.0.1
Package: TransHDM
Title: High-Dimensional Mediation Analysis via Transfer Learning
Version: 1.0.1
Description: Provides a framework for high-dimensional mediation analysis using transfer learning. The main function TransHDM() integrates large-scale source data to improve the detection power of potential mediators in small-sample target studies. It addresses data heterogeneity via transfer regularization and debiased estimation while controlling the false discovery rate. The package also includes utilities for data generation (gen_simData_homo(), gen_simData_hetero()), baseline methods such as lasso() and dblasso(), sure independence screening via SIS(), and model diagnostics through source_detection(). The methodology is described in Pan et al. (2025) <doi:10.1093/bib/bbaf460>.
License: GPL (>= 3)
URL: https://github.com/Gaohuer/TransHDM
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: glmnet (>= 4.1-10), caret (>= 7.0-1), MASS (>= 7.3-61), doParallel (>= 1.0.17), foreach (>= 1.5.2), HDMT (>= 1.0.5)
Suggests: knitr (>= 1.50), rmarkdown (>= 2.30), spelling (>= 2.3.2)
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-12 13:09:14 UTC; DELL
Author: Huer Gao [aut, cre, cph], Lulu Pan [aut, cph], Yongfu Yu [ctb, cph], Guoyou Qin [ctb, cph]
Maintainer: Huer Gao <gaohuer@proton.me>
Repository: CRAN
Date/Publication: 2026-03-17 18:20:09 UTC

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New package osktnorm with initial version 1.1.2
Package: osktnorm
Title: A Moment-Targeting Normality Transformation Based on Tukey g-h Distribution
Version: 1.1.2
Date: 2026-03-07
Maintainer: Zeynel Cebeci <cebeciz@gmail.com>
Description: Implements a moment-targeting normality transformation based on the simultaneous optimization of Tukey g-h distribution parameters. The method is designed to minimize both asymmetry (skewness) and excess peakedness (kurtosis) in non-normal data by mapping it to a standard normal distribution Cebeci et al (2026) <doi:10.3390/sym18030458>. Optimization is performed by minimizing an objective function derived from the Anderson-Darling goodness-of-fit statistic with Stephens's correction factor, utilizing the L-BFGS-B algorithm for robust parameter estimation. This approach provides an effective alternative to power transformations like Box-Cox and Yeo-Johnson, particularly for data requiring precise tail-behavior adjustment.
Depends: R (>= 4.1.0)
Imports: Rcpp, stats, doParallel, foreach, parallel, groupcompare
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, readxl, writexl
VignetteBuilder: knitr
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-03-12 12:54:26 UTC; user1
Author: Zeynel Cebeci [aut, cre], Figen Ceritoglu [aut], Melis Celik Guney [aut], Adnan Unalan [aut]
Repository: CRAN
Date/Publication: 2026-03-17 18:20:02 UTC

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New package NeStage with initial version 0.8.0
Package: NeStage
Title: Effective Population Size from Stage-Structured Populations
Version: 0.8.0
Date: 2026-03-07
Author: Raymond L. Tremblay [aut, cre]
Maintainer: Raymond L. Tremblay <raymond.tremblay@gmail.com>
Description: Computes effective population size (Ne) and the Ne/N ratio for stage-structured populations using the matrix population model framework of Yonezawa (2000) <doi:10.1111/j.0014-3820.2000.tb01244.x>. Functions are provided for sexually reproducing, clonally reproducing, and mixed (sexual + clonal) populations. Includes sensitivity and elasticity analyses for Ne/N with respect to vital rates.
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: ggplot2
Suggests: dplyr, tidyr, purrr, expm, gt (>= 0.9.0), knitr, popbio, popdemo, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/RaymondLTremblay/NeStage
BugReports: https://github.com/RaymondLTremblay/NeStage/issues
NeedsCompilation: no
Packaged: 2026-03-12 14:34:38 UTC; raymondtremblay
Repository: CRAN
Date/Publication: 2026-03-17 18:20:15 UTC

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New package AMDconfigurations with initial version 0.1.0
Package: AMDconfigurations
Title: Geometric Analysis of Configurations in High-Dimensional Spaces
Version: 0.1.0
Description: Tools for analysing the geometry of configurations in high-dimensional spaces using the Average Membership Degree (AMD) framework and synthetic configuration generation. The package supports a domain-agnostic approach to studying the shape, dispersion, and internal structure of point clouds, with applications across biological and ecological datasets, including those derived from deep-time records. The AMD framework builds on the idea that strongly coupled systems may occupy a limited set of recurrent regimes in state space, producing high-occupancy regions separated by sparsely populated transitional configurations. The package focuses on detecting these concentration patterns and quantifying their geometric definition without assuming any underlying dynamical model. It provides AMD curve computation, cluster assignment, and sigma-equivalent estimation, together with S3 methods for plotting, printing, and summarising AMD and sigma-equivalent objects. Mendoza (2025) <https://mmendoz [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/mmendoza1967/AMDconfigurations, https://mmendoza1967.github.io/AMDconfigurations/
BugReports: https://github.com/mmendoza1967/AMDconfigurations/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: e1071, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pkgdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-12 04:30:56 UTC; Manuel Mendoza
Author: Manuel Mendoza [aut, cre]
Maintainer: Manuel Mendoza <mmendoza@mncn.csic.es>
Repository: CRAN
Date/Publication: 2026-03-17 18:10:03 UTC

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New package unsurv with initial version 0.5.0
Package: unsurv
Title: Unsupervised Clustering of Individualized Survival Curves
Version: 0.5.0
Author: Imad EL BADISY [aut, cre]
Maintainer: Imad EL BADISY <elbadisyimad@gmail.com>
Date: 2026-03-12
Description: Tools for clustering individualized survival curves using the Partitioning Around Medoids (PAM) algorithm, with monotonic enforcement, optional smoothing, weighted distances (L1/L2), automatic K selection via silhouette width, prediction for new curves, basic stability checks, and plotting helpers. The clustering strategy follows Kaufman and Rousseeuw (1990, ISBN:0471878766).
License: MIT + file LICENSE
URL: https://github.com/ielbadisy/unsurv
BugReports: https://github.com/ielbadisy/unsurv/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, cluster, ggplot2
Suggests: tidyr, dplyr, scales, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-12 11:50:15 UTC; imad-el-badisy
Repository: CRAN
Date/Publication: 2026-03-17 18:00:03 UTC

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New package pecanr with initial version 0.1.2
Package: pecanr
Title: Partial Eta-Squared for Crossed and Nested Linear Mixed Models
Version: 0.1.2
Description: Computes partial eta-squared effect sizes for fixed effects in linear mixed models fitted with the 'lme4' package. Supports crossed and nested random effects structures with any number of grouping factors. Random slope variances are translated to the outcome scale using a variance decomposition approach, correctly accounting for predictor scaling and interaction terms. Both general and operative effect sizes are provided. Methods are based on Correll, Mellinger, McClelland, and Judd (2020) <doi:10.1016/j.tics.2019.12.009>, Correll, Mellinger, and Pedersen (2022) <doi:10.3758/s13428-021-01687-2>, and Rights and Sterba (2019) <doi:10.1037/met0000184>.
License: MIT + file LICENSE
URL: https://github.com/bcohen0901/pecanr
BugReports: https://github.com/bcohen0901/pecanr/issues
Encoding: UTF-8
Imports: lme4
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-04 00:51:44 UTC; brandoncohen
Author: Brandon Cohen [aut, cre] , Joshua Correll [aut, ths]
Maintainer: Brandon Cohen <brandon.cohen-1@colorado.edu>
Repository: CRAN
Date/Publication: 2026-03-17 18:00:08 UTC

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New package ggpop with initial version 1.7.0
Package: ggpop
Title: Icon-Based Population Charts and Plots for 'ggplot2'
Version: 1.7.0
Date: 2026-03-06
Description: Create engaging population and point plots charts in R. 'ggpop' allows users to represent population data and points proportionally using customizable icons, facilitating the creation of circular representative population charts as well as any point-plots.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, cowplot, ggforce, gganimate, ggrepel, ggtext, scales, reactable, reactablefmtr
Depends: R (>= 4.0.5)
Imports: ggplot2, dplyr, ggimage, magick, rlang, tidyr, purrr, fontawesome, rsvg, cli, tibble
VignetteBuilder: knitr
ByteCompile: true
BugReports: https://github.com/jurjoroa/ggpop/issues
URL: https://jurjoroa.github.io/ggpop/
NeedsCompilation: no
Packaged: 2026-03-12 00:51:30 UTC; jorgeroa
Author: Jorge A. Roa-Contreras [aut, cre] , Ralitza Soultanova [aut] , Fernando Alarid-Escudero [aut] , Carlos Pineda-Antunez [aut]
Maintainer: Jorge A. Roa-Contreras <jorgeroa@stanford.edu>
Repository: CRAN
Date/Publication: 2026-03-17 17:40:10 UTC

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Mon, 16 Mar 2026

New package tvrmst with initial version 0.0.6
Package: tvrmst
Title: Time-Varying Restricted Mean Survival Time from Survival Matrices
Version: 0.0.6
Author: Imad EL BADISY [aut, cre]
Maintainer: Imad EL BADISY <elbadisyimad@gmail.com>
Description: Utilities for restricted mean survival time (RMST) and time-varying restricted mean survival time quantities computed from survival curves provided on a time grid. The package is model-agnostic and accepts only a time vector and survival matrices, returning RMST-based quantities and bootstrap summaries. For restricted mean survival time methodology, see Royston and Parmar (2013) <doi:10.1186/1471-2288-13-152>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: ggplot2, survival, testthat (>= 3.0.0), roxygen2 (>= 7.0.0)
NeedsCompilation: no
Packaged: 2026-03-11 15:19:35 UTC; imad-el-badisy
Repository: CRAN
Date/Publication: 2026-03-16 19:40:02 UTC

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New package snakeplot with initial version 0.3.0
Package: snakeplot
Title: Serpentine Plots for Long Timeline, Sequential and Survey Data
Version: 0.3.0
Description: Visualize long timelines, extended sequences and temporally chained survey responses and experience sampling data using intuitive serpentine (snake) plots. Supports distribution bars, tick-mark plots, inter-item correlation arcs, faceted multi-construct panels, and daily time-of-day positioning for ecological momentary assessment data.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: graphics, grDevices, stats
LazyData: true
URL: https://github.com/mohsaqr/snakeplot
BugReports: https://github.com/mohsaqr/snakeplot/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-11 14:44:23 UTC; mohammedsaqr
Author: Mohammed Saqr [aut, cre, cph], Sonsoles Lopez-Pernas [aut]
Maintainer: Mohammed Saqr <saqr@saqr.me>
Repository: CRAN
Date/Publication: 2026-03-16 19:30:03 UTC

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New package scimetr with initial version 1.2.0
Package: scimetr
Title: Analysis of Scientific Publication Data with R
Version: 1.2.0
Date: 2026-03-01
Description: Tools for quantitative research in scientometrics and bibliometrics. This package provides routines for importing bibliographic data from Clarivate Web of Science (<https://www.webofscience.com/wos/>) and performing bibliometric analysis.
Depends: R (>= 4.1.0), graphics
Imports: dplyr, tidyr, stringr, stringi, scales, ggplot2, rlang, openxlsx
Suggests: DT, rmarkdown, knitr
License: GPL (>= 2)
URL: https://rubenfcasal.github.io/scimetr/, https://github.com/rubenfcasal/scimetr/
BugReports: https://github.com/rubenfcasal/scimetr/issues/
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-11 19:22:35 UTC; ruben
Author: Ruben Fernandez-Casal [aut, cre] , Borja Lafuente-Rego [aut] , Maria Jose Lombardia [aut] , Javier Tarrio-Saavedra [aut] , Julian Costa-Bouzas [aut] , Yesica Fernandez-Ramos [ctb], Guillermo Lopez-Taboada [ctb]
Maintainer: Ruben Fernandez-Casal <rubenfcasal@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-16 20:00:02 UTC

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New package ROCModels with initial version 1.0.0
Package: ROCModels
Title: ROC Models and AUC Estimation
Version: 1.0.0
Description: The receiver operating characteristic (ROC) curve is one of the most widely used tools for evaluating diagnostic and prognostic biomarkers across diverse scientific fields, particularly in medicine. Despite its ubiquity, ROC estimation and testing methods differ substantially in their assumptions and resulting curve properties. This package provides a unified framework for constructing, visualizing, and comparing parametric, nonparametric, semiparametric, and Bayesian ROC curves. 'ROCModels' helps researchers identify and implement ROC inference methods most suitable for their data. See the accompanying vignette 'ROCModels_Package_Doc' for a detailed introduction. Alonzo, T. A., and Pepe, M. S. (2002) <doi: 10.1093/biostatistics/3.3.421>, Andrews, D. F., and Herzberg, A. M. (1985) <doi: 10.1007/978-1-4612-5098-2>, Bamber, D. (1975) <doi: 10.1016/0022-2496(75)90001-2>, Cox, D. R. (1972) <doi:10.1111/j.2517-6161.1972.tb00899.x>, Cox, D. R. (1975) <doi: 10.1093/ [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, kedd, dplyr, survival, nleqslv, HDInterval, ROCit, doParallel, foreach, pbivnorm, nor1mix, parallel, readr, MASS, doRNG
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-11 18:31:53 UTC; rsn11
Author: Ruhul Ali Khan [aut], Ruhul Ali Khan [aut, cre], Raja Sanjeev Kumar Nakka [aut], Musie Ghebremichael [aut]
Maintainer: Ruhul Ali Khan <ruhulali.khan@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-16 19:50:13 UTC

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New package r4sub with initial version 0.1.0
Package: r4sub
Title: Easily Install and Load the R4SUB Ecosystem
Version: 0.1.0
Description: The 'r4sub' package is a meta-package that installs and loads core packages of the R4SUB (R for Regulatory Submission) clinical submission readiness ecosystem. Loading 'r4sub' attaches 'r4subcore', 'r4subtrace', 'r4subscore', 'r4subrisk', 'r4subdata', and 'r4subprofile'.
License: MIT + file LICENSE
URL: https://github.com/R4SUB/r4sub
BugReports: https://github.com/R4SUB/r4sub/issues
Depends: R (>= 4.2)
Imports: cli, r4subcore, r4subdata, r4subprofile, r4subrisk, r4subscore, r4subtrace, rlang, tibble, utils
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-06 12:15:09 UTC; aeroe
Author: Pawan Rama Mali [aut, cre, cph]
Maintainer: Pawan Rama Mali <prm@outlook.in>
Repository: CRAN
Date/Publication: 2026-03-16 19:20:02 UTC

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New package lumbermark with initial version 0.9.0
Package: lumbermark
Title: Resistant Clustering via Chopping Up Mutual Reachability Minimum Spanning Trees
Version: 0.9.0
Date: 2026-03-09
Description: Implements a fast and resistant divisive clustering algorithm which identifies a specified number of clusters: 'lumbermark' iteratively chops off sizeable limbs that are joined by protruding segments of a dataset's mutual reachability minimum spanning tree; see Gagolewski (2026) <https://lumbermark.gagolewski.com/>. The use of a mutual reachability distance pulls peripheral points farther away from each other. When combined with the 'deadwood' package, it can act as an outlier detector. The 'Python' version of 'lumbermark' is available via 'PyPI'.
BugReports: https://github.com/gagolews/lumbermark/issues
URL: https://lumbermark.gagolewski.com/, https://clustering-benchmarks.gagolewski.com/, https://github.com/gagolews/lumbermark
License: AGPL-3
Imports: Rcpp, deadwood
Suggests: datasets,
LinkingTo: Rcpp
Encoding: UTF-8
SystemRequirements: OpenMP
NeedsCompilation: yes
Packaged: 2026-03-10 09:48:46 UTC; gagolews
Author: Marek Gagolewski [aut, cre, cph]
Maintainer: Marek Gagolewski <marek@gagolewski.com>
Repository: CRAN
Date/Publication: 2026-03-16 19:10:02 UTC

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New package golden with initial version 0.0.1
Package: golden
Title: Framework for Patient-Level Microsimulation of Risk Factor Trajectories & Hazard-Based Events
Version: 0.0.1
Date: 2026-03-04
Description: Fast, flexible, patient-level microsimulation. Time-stepped simulation with a 'C++' back-end from user-supplied initial population, trajectories, hazards, and corresponding event transitions. User-defined aggregate time series histories are returned together with the final population. Designed for simulation of chronic diseases with continuous and evolving risk factors, but could easily be applied more generally.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.1.0), data.table
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), SciViews, knitr, rmarkdown, ggplot2
Depends: R (>= 3.5)
LazyData: true
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-11 15:06:54 UTC; runner
Author: Pete Dodd [aut, cre] , Robert Chisholm [aut] , University of Sheffield [cph], Horizon Europe [fnd]
Maintainer: Pete Dodd <p.j.dodd@sheffield.ac.uk>
Repository: CRAN
Date/Publication: 2026-03-16 19:50:02 UTC

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New package ebx with initial version 1.0.0
Package: ebx
Title: 'Earth Blox' API Client
Version: 1.0.0
Maintainer: Neil Mayo <n.mayo@earthblox.io>
Description: Client library for the 'Earth Blox' API (<https://api.earthblox.io/>). Provides authentication and endpoints for interacting with 'Earth Blox' geospatial analytics services. Compatible with 'Shiny' applications.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: httr2 (>= 1.0.0), jsonlite (>= 1.7.0), R6 (>= 2.5.0), base64enc (>= 0.1-3)
Suggests: testthat (>= 3.0.0), withr (>= 2.5.0), shiny (>= 1.7.0)
NeedsCompilation: no
Packaged: 2026-03-11 12:26:05 UTC; nmayo
Author: Neil Mayo [aut, cre], Quosient Ltd. [cph]
Repository: CRAN
Date/Publication: 2026-03-16 19:10:07 UTC

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New package easyEWAS with initial version 1.0.1
Package: easyEWAS
Title: Perform and Visualize EWAS Analysis
Version: 1.0.1
Description: Tools for conducting epigenome-wide association studies (EWAS) and visualizing results. Users provide sample metadata and methylation matrices to run EWAS with linear models, linear mixed-effects models, or Cox models. The package supports downstream visualization, bootstrap validation, enrichment analysis, batch effect correction, and differentially methylated region (DMR) analysis with optional parallel computing. Methods are described in Wang et al. (2025) <doi:10.1093/bioadv/vbaf026>, Johnson et al. (2007) <doi:10.1093/biostatistics/kxj037>, and Peters et al. (2015) <doi:10.1186/1756-8935-8-6>.
License: GPL (>= 3)
URL: https://github.com/ytwangZero/easyEWAS, https://easyewas-tutorial.github.io/
BugReports: https://github.com/ytwangZero/easyEWAS/issues
Encoding: UTF-8
Imports: R6, boot, CMplot, ddpcr, doParallel, dplyr, foreach, lmerTest, magrittr, parallel, readxl, survival, tictoc, vroom, withr, R.utils, lubridate
Suggests: AnnotationHub, ExperimentHub, DMRcate, sva, BiocParallel, clusterProfiler, enrichplot, org.Hs.eg.db, knitr, rmarkdown
Depends: R (>= 4.4.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-11 09:43:59 UTC; yuting
Author: Yuting Wang [aut, cre], Xu Gao [aut]
Maintainer: Yuting Wang <ytwang@pku.edu.cn>
Repository: CRAN
Date/Publication: 2026-03-16 19:10:14 UTC

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New package dyadicMarkov with initial version 0.1.0
Package: dyadicMarkov
Title: Pattern Identification for Dyadic Sequences Using Transition Matrices
Version: 0.1.0
Description: Provides methods for analyzing dyadic interaction sequences using transition matrices within the Actor-Partner Interdependence Model. The package supports the computation of empirical transition counts, maximum likelihood estimation of transition probabilities and identification of interaction patterns in univariate and bivariate dyadic interaction sequences.
License: MIT + file LICENSE
URL: https://github.com/BoellenruecherM/dyadicMarkov-public
BugReports: https://github.com/BoellenruecherM/dyadicMarkov-public/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-11 16:44:22 UTC; bolle
Author: Mattia Boellenruecher [aut, cre, cph], Megane Bollenrucher [aut], Jean-Philippe Antonietti [aut]
Maintainer: Mattia Boellenruecher <mattia.boellenruecher@student.unisg.ch>
Repository: CRAN
Date/Publication: 2026-03-16 19:50:08 UTC

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New package a5R with initial version 0.2.0
Package: a5R
Title: 'A5' Discrete Global Grid System
Version: 0.2.0
Description: Bindings for the "A5 geospatial index" <https://a5geo.org/>. 'A5' partitions the Earth's surface into pentagonal cells across 31 resolution levels using an equal-area projection onto a dodecahedron. Provides functions for indexing coordinates to cells, traversing the cell hierarchy, computing cell boundaries, and compacting/uncompacting cell sets. Powered by the 'A5' 'Rust' crate via 'extendr'.
License: Apache License (>= 2)
URL: https://github.com/belian-earth/a5R, https://belian-earth.github.io/a5R/
BugReports: https://github.com/belian-earth/a5R/issues
Depends: R (>= 4.2)
Imports: cli, rlang (>= 1.1.0), units, vctrs (>= 0.6.0), wk (>= 0.9.0)
Suggests: knitr, pillar, rmarkdown, sf, testthat (>= 3.0.0), tibble, withr
VignetteBuilder: knitr
SystemRequirements: Cargo (Rust's package manager), rustc
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-03-11 10:37:40 UTC; hugh
Author: Hugh Graham [aut, cre], belian.earth [cph]
Maintainer: Hugh Graham <hugh@belian.earth>
Repository: CRAN
Date/Publication: 2026-03-16 19:10:19 UTC

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New package WaveST with initial version 0.1.0
Package: WaveST
Title: Wavelet-Based Spatial Time Series Models
Version: 0.1.0
Maintainer: Dr. Ranjit Kumar Paul <ranjitstat@gmail.com>
Description: An integrated wavelet-based spatial time series modelling framework designed to enhance predictive accuracy under noisy and nonstationary conditions by jointly exploiting multi-resolution (wavelet) information and spatial dependence. The package implements WaveSARIMA() (Wavelet Based Spatial AutoRegressive Integrated Moving Average model using regression features with forecast::auto.arima()) and WaveSNN() (Wavelet Based Spatial Neural Network model using neuralnet with hyperparameter search). Both functions support spatial transformation via a user-supplied spatial matrix, lag feature construction, MODWT-based wavelet sub-series feature generation, time-ordered train/test splitting, and performance evaluation (Root Mean Square Error (RMSE), Mean Absolute Error (MAE), R-squared (R²), and Mean Absolute Percentage Error (MAPE)), returning fitted models and actual vs predicted values for train and test sets. The package has been developed using the algorithm of Paul et al. (2023) <doi:1 [...truncated...]
Encoding: UTF-8
Imports: forecast, stats, neuralnet, tsutils, wavelets
Suggests: devtools, roxygen2, usethis
License: GPL-3
NeedsCompilation: no
Packaged: 2026-03-11 05:54:57 UTC; YEASIN
Author: Dr. Md Yeasin [aut], Dr. Ranjit Kumar Paul [aut, cre], Akarsh Kumar Singh [aut]
Repository: CRAN
Date/Publication: 2026-03-16 18:50:02 UTC

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New package RenyiExtropy with initial version 0.4.0
Package: RenyiExtropy
Title: Entropy and Extropy Measures for Probability Distributions
Version: 0.4.0
Description: Provides functions to compute Shannon entropy, Renyi entropy, Tsallis entropy, and related extropy measures for discrete probability distributions. Includes joint and conditional entropy, KL divergence, Jensen-Shannon divergence, cross-entropy, normalized entropy, and Renyi extropy (including the conditional and maximum forms). All measures use the natural logarithm (nats). Useful for information theory, statistics, and machine learning applications.
License: MIT + file LICENSE
URL: https://github.com/itsmdivakaran/RenyiExtropy
BugReports: https://github.com/itsmdivakaran/RenyiExtropy/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-11 08:32:16 UTC; maheshdivakaran
Author: Divakaran Mahesh [aut, cre] , G Rajesh [aut] , Sreekumar Jayalekshmi [aut]
Maintainer: Divakaran Mahesh <itsmdivakaran@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-16 19:00:08 UTC

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New package causalplot with initial version 0.2.1
Package: causalplot
Title: Create Publication-Ready Causal Diagrams
Version: 0.2.1
Description: Creates publication-ready causal diagrams using 'ggplot2'. Provides simple templates for common causal diagrams (e.g., mediating mechanisms and parallel pathways) with customizable labels, colors, fonts, and export-friendly defaults.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggforce, ggplot2, ggtext
Suggests: shiny, shinythemes
URL: https://github.com/sebastianvanbaalen/causalplot
BugReports: https://github.com/sebastianvanbaalen/causalplot/issues
NeedsCompilation: no
Packaged: 2026-03-11 06:55:23 UTC; sebastian
Author: Sebastian van Baalen [aut, cre, cph]
Maintainer: Sebastian van Baalen <sebastian.van-baalen@pcr.uu.se>
Repository: CRAN
Date/Publication: 2026-03-16 19:00:02 UTC

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New package widr with initial version 0.1.0
Package: widr
Title: Interface to the World Inequality Database (WID)
Version: 0.1.0
Description: Interface to the World Inequality Database (WID) API <https://wid.world>. Downloads distributional national accounts data with filters for country, year, percentile, age group, and population type. Includes code validation and reference tables. Independent implementation unaffiliated with the World Inequality Lab (WIL) or the Paris School of Economics.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: base64enc, jsonlite, digest, ggplot2, httr2, scales, tools, utils
Suggests: testthat (>= 3.0.0), covr, knitr, rmarkdown, withr
VignetteBuilder: knitr
URL: https://github.com/cherylisabella/widr
BugReports: https://github.com/cherylisabella/widr/issues
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-10 18:39:50 UTC; Isabella
Author: Cheryl Isabella Lim [aut, cre]
Maintainer: Cheryl Isabella Lim <cheryl.academic@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-16 16:40:02 UTC

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New package UnitMix with initial version 0.0.1
Package: UnitMix
Title: Detecting Measurement-Unit Errors via Gaussian Mixture Models
Version: 0.0.1
Description: Tools to detect and correct measurement-unit errors in multivariate numeric data using model-based clustering. Gaussian mixture models with user-defined translation vectors identify clusters of records that differ in scale or unit. Core functionality includes cluster assignment via the EM algorithm, error correction based on posterior probabilities and pairwise scatterplot visualizations. For more details see Di Zio, Guarnera and Luzi (2005) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2005001/article/8087-eng.pdf>.
License: GPL-3
Encoding: UTF-8
Imports: mvtnorm
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-10 08:22:53 UTC; UTENTE
Author: Cristina Faricelli [aut, cre], Renato Magistro [aut]
Maintainer: Cristina Faricelli <cristina.faricelli@istat.it>
Repository: CRAN
Date/Publication: 2026-03-16 16:30:14 UTC

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New package rmedsem with initial version 1.0.0
Package: rmedsem
Title: Statistical Mediation Analysis for SEMs
Version: 1.0.0
Description: Conducts mediation analysis for structural equation models (SEM) estimated with 'lavaan', 'blavaan', 'cSEM', or 'modsem'. Implements the Baron and Kenny (1986) <doi:10.1037/0022-3514.51.6.1173> and Zhao, Lynch & Chen (2010) <doi:10.1086/651257> approaches to determine the presence and type of mediation. Supports covariance-based SEM, partial least squares SEM, Bayesian SEM, and moderated mediation models. Reports indirect effects with standard errors from Sobel, Delta, Monte-Carlo, and bootstrap methods, along with effect size measures (RIT, RID).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: lavaan, mvtnorm, ggplot2, dplyr, purrr, stats
URL: https://github.com/ihrke/rmedsem, https://ihrke.github.io/rmedsem/
BugReports: https://github.com/ihrke/rmedsem/issues
Depends: R (>= 4.1.0)
LazyData: true
Suggests: blavaan, boot, cSEM, HDInterval, modsem, semPlot, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-10 21:13:16 UTC; mmi041
Author: Mehmet Mehmetoglu [aut] , Matthias Mittner [aut, cre] , Kjell Slupphaug [aut]
Maintainer: Matthias Mittner <matthias.mittner@uit.no>
Repository: CRAN
Date/Publication: 2026-03-16 16:50:02 UTC

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New package rangen with initial version 0.0.1
Package: rangen
Title: Random Number Generators and Utilities
Description: Provides a collection of random number generators for common and custom distributions, along with utility functions for sampling and simulation.
Version: 0.0.1
Date: 2026-03-09
Maintainer: Manos Papadakis <papadakm95@gmail.com>
License: GPL-3
Imports: Rcpp (>= 0.12.3)
LinkingTo: Rcpp (>= 0.12.3), RcppArmadillo, zigg
Depends: R (>= 3.5.0)
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-03-09 11:05:25 UTC; epapadakis
Author: Manos Papadakis [aut, cre, cph], Michail Tsagris [ctb], Omar Alzeley [ctb]
Repository: CRAN
Date/Publication: 2026-03-16 16:30:02 UTC

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New package MultiSpline with initial version 0.1.1
Package: MultiSpline
Title: Spline-Based Nonlinear Modeling for Multilevel and Longitudinal Data
Version: 0.1.1
Description: Provides tools for fitting, predicting, and visualizing nonlinear relationships in single-level, multilevel, and longitudinal regression models. Nonlinear functional forms are represented using natural cubic splines from 'splines' and smooth terms from 'mgcv'. The package offers a unified interface for specifying nonlinear effects, interactions with time variables, random-intercept clustering structures, and additional linear covariates. Utilities are included to generate prediction grids and produce effect plots, facilitating interpretation and visualization of nonlinear relationships in applied regression workflows. The implementation builds on established methods for spline-based regression and mixed-effects modeling (Hastie and Tibshirani, 1990 <doi:10.1201/9780203738535>; Bates et al., 2015 <doi:10.18637/jss.v067.i01>; Wood, 2017 <doi:10.1201/9781315370279>). Applications include hierarchical and longitudinal data structures common in education, health, and socia [...truncated...]
Depends: R (>= 4.2.0)
Imports: stats, lme4, mgcv, dplyr, ggplot2, rlang
Suggests: lmerTest, knitr, rmarkdown, reformulas, testthat (>= 3.0.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-10 13:44:08 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-03-16 16:40:33 UTC

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New package mtgjsonsdk with initial version 0.1.0
Package: mtgjsonsdk
Title: 'DuckDB'-Backed Query Client for 'MTGJSON' Card Data
Version: 0.1.0
Description: Auto-downloads Parquet data from the 'MTGJSON' CDN and exposes the full Magic: The Gathering dataset through R6-based query interfaces backed by 'DuckDB'.
URL: https://mtgjson.com
BugReports: https://github.com/mtgjson/mtgjson-sdk-r/issues
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: R6, DBI, duckdb, httr2, jsonlite
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-10 03:02:26 UTC; zach
Author: Zachary Halpern [aut, cre], Robert Pratt [aut]
Maintainer: Zachary Halpern <zach@mtgjson.com>
Repository: CRAN
Date/Publication: 2026-03-16 16:20:02 UTC

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New package MSMGOptimizer with initial version 0.1.0
Package: MSMGOptimizer
Title: Mine Sustainability Modeling Group (MSMG) 'SimaPro' CSV Optimizer
Version: 0.1.0
Description: A 'Shiny' application for converting 'Excel'-based Life Cycle Inventory (LCI) data into 'SimaPro' CSV (Comma-Separated Values) format for use in Life Cycle Assessment (LCA) modeling. Developed by the Mine Sustainability Modeling Group (MSMG) at Missouri University of Science and Technology under NSF (National Science Foundation) funding (Award No. 2219086). See Pizzol (2022) <https://github.com/massimopizzol/Simapro-CSV-converter> for the original 'Python' implementation that inspired this tool.
URL: https://github.com/Duah-Philip/MSMGOptimizer
BugReports: https://github.com/Duah-Philip/MSMGOptimizer/issues
Depends: R (>= 4.0.0)
License: Apache License (>= 2)
Encoding: UTF-8
Imports: shiny (>= 1.10.0), shinydashboard (>= 0.7.3), readxl (>= 1.4.5), dplyr (>= 1.1.0), DT (>= 0.33), waiter (>= 0.2.5), htmltools (>= 0.5.8.1), zip (>= 2.3.0)
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-10 09:25:23 UTC; dpbxc
Author: Philip Duah [aut, cre], Kwame Awuah-Offei [aut]
Maintainer: Philip Duah <dpbxc@mst.edu>
Repository: CRAN
Date/Publication: 2026-03-16 16:30:19 UTC

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New package marimekko with initial version 0.1.0
Package: marimekko
Title: Marimekko Plots for 'ggplot2'
Version: 0.1.0
Description: Create marimekko (mosaic) plots as a 'ggplot2' layer. Column widths encode marginal proportions of one categorical variable and segment heights encode conditional proportions of a second categorical variable.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.5.0)
Suggests: knitr, pkgdown, plotly, rmarkdown, testthat (>= 3.0.0), vdiffr (>= 1.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-10 11:52:23 UTC; dawidkaledkowski
Author: Dawid Kaledkowski [aut, cre]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-16 16:40:09 UTC

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New package icecdr with initial version 1.0.0
Package: icecdr
Title: Download Sea Ice Concentration Data from the NSIDC Climate Data Record
Version: 1.0.0
Description: Programmatic access to NSIDC's sea ice concentration CDR versions 4 and 5 via its ERDAPP server. Supports caching results and optional fixes for some inconsistencies of the raw files.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.3.0)
Suggests: here, ncdf4, rcdo, testthat (>= 3.0.0), vcr
Imports: checkmate, cli, digest, glue, httr2, rlang
URL: https://github.com/eliocamp/icecdr
BugReports: https://github.com/eliocamp/icecdr/issues
NeedsCompilation: no
Packaged: 2026-03-10 03:28:36 UTC; user1
Author: Elio Campitelli [cre, aut, cph]
Maintainer: Elio Campitelli <eliocampitelli@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-16 16:20:09 UTC

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New package Fiscal with initial version 1.0.0
Package: Fiscal
Title: Income Tax Calculations (UK)
Version: 1.0.0
Date: 2026-03-09
Description: Income tax calculations for England, Northern Ireland and Wales. Estimate annual income tax within the different taxation bands at specified levels of both taxable income and the Personal Allowance, emulating the results obtained at <https://www.gov.uk/estimate-income-tax>. Calculate the standard Personal Allowance at various levels of taxable income. Estimate the personal allowance required to recoup a specified amount of income tax.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-03-09 21:13:38 UTC; frzmce
Author: Mark Eisler [aut, cre, cph]
Maintainer: Mark Eisler <mark@markeisler.com>
Repository: CRAN
Date/Publication: 2026-03-16 16:10:03 UTC

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New package essentialstools with initial version 0.1.2
Package: essentialstools
Title: Datasets and Utilities for Essentials of Statistics for the Behavioral Sciences
Version: 0.1.2
Description: Provides instructional datasets and simple wrapper functions for selected analyses used in 'Essentials of Statistics for the Behavioral Sciences'. The package is intended to support textbook examples by distributing data in a form that is easy for students and instructors to access within R. Current functionality includes packaged datasets and convenience wrappers for functions from 'ez', 'pwr', and 'WebPower' for analysis of variance and statistical power calculations. The package is designed as a companion resource for teaching and learning in introductory and intermediate statistics courses.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Imports: ez, WebPower, pwr
NeedsCompilation: no
Packaged: 2026-03-10 13:33:04 UTC; Jim
Author: James Witnauer [aut, cre]
Maintainer: James Witnauer <jwitnaue@brockport.edu>
Repository: CRAN
Date/Publication: 2026-03-16 16:40:16 UTC

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New package demofit with initial version 0.1.1
Package: demofit
Title: Parametric Mortality Curve Fitting and Mortality Forecasting Tools
Version: 0.1.1
Author: Jackie Li [aut, cre, cph]
Maintainer: Jackie Li <jackieli@smu.edu.sg>
Description: Provides tools for fitting parametric mortality curves. Implements multiple optimisation strategies to enhance robustness and stability of parameter estimation. Offers tools for forecasting mortality rates guided by mortality curves. For modelling details see: Tabeau (2001) <doi:10.1007/0-306-47562-6_1>, Renshaw and Haberman (2006) <doi:10.1016/j.insmatheco.2005.12.001>, Cairns et al. (2009) <doi:10.1080/10920277.2009.10597538>.
License: GPL-3
Encoding: UTF-8
Imports: forecast, minpack.lm, MortalityLaws, NlcOptim, stats, graphics, grDevices
NeedsCompilation: no
Packaged: 2026-03-10 20:31:15 UTC; Jackie
Repository: CRAN
Date/Publication: 2026-03-16 16:50:08 UTC

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New package chomper with initial version 0.1.3
Package: chomper
Title: A Comprehensive Hit or Miss Probabilistic Entity Resolution Model
Version: 0.1.3
Description: Provides Bayesian probabilistic methods for record linkage and entity resolution across multiple datasets using the Comprehensive Hit Or Miss Probabilistic Entity Resolution (CHOMPER) model. The package implements three main inference approaches: (1) Evolutionary Variational Inference for record Linkage (EVIL), (2) Coordinate Ascent Variational Inference (CAVI), and (3) Markov Chain Monte Carlo (MCMC) with split and merge process. The model supports both discrete and continuous fields, and it performs locally-varying hit mechanism for the attributes with multiple truths. It also provides tools for performance evaluation based on either approximated variational factors or posterior samples. The package is designed to support parallel computing with multi-threading support for EVIL to estimate the linkage structure faster.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo, RcppThread
Imports: Rcpp
Depends: R (>= 3.5)
LazyData: true
Suggests: blink, ggplot2, knitr, patchwork, rmarkdown, salso, spelling
VignetteBuilder: knitr
URL: https://github.com/hjkim8987/chomper
BugReports: https://github.com/hjkim8987/chomper/issues
Language: en-US
NeedsCompilation: yes
Packaged: 2026-03-10 19:14:49 UTC; hyungjoonkim
Author: Hyungjoon Kim [aut, cre], Andee Kaplan [aut], Matthew Koslovsky [aut]
Maintainer: Hyungjoon Kim <hjkim8987@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-16 16:40:26 UTC

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New package xtbreakcoint with initial version 1.0.4
Package: xtbreakcoint
Title: Panel Cointegration Tests with Structural Breaks
Version: 1.0.4
Date: 2026-03-09
Description: Implements panel cointegration tests allowing for structural breaks and cross-section dependence following the methodology of Banerjee and Carrion-i-Silvestre (2015) <doi:10.1002/jae.2348>. The package provides iterative factor-break estimation, individual ADF tests on defactored residuals, standardized panel test statistics, and the Bai and Ng (2004) <doi:10.1111/j.1468-0262.2004.00528.x> MQ test for identifying common stochastic trends. Supports five model specifications with varying deterministic components and break structures.
License: GPL-3
URL: https://github.com/muhammedalkhalaf/xtbreakcoint
BugReports: https://github.com/muhammedalkhalaf/xtbreakcoint/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-03-09 17:54:28 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Anindya Banerjee [ctb] , Josep Lluis Carrion-i-Silvestre [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-16 16:00:03 UTC

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New package usportsR with initial version 1.0.0
Package: usportsR
Title: Access U SPORTS Data
Version: 1.0.0
Description: Tools package to extract and analyze data from U SPORTS, the governing body of university sport in Canada.
License: MIT + file LICENSE
Imports: dplyr, magrittr, tibble
Encoding: UTF-8
URL: https://github.com/uwaggs/usportsR, https://uwaggs.github.io/usportsR/
BugReports: https://github.com/uwaggs/usportsR/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-09 17:03:51 UTC; pierreaucoin
Author: Shamar Phillips [aut, cre], Matthew Chow [aut] , Rithika Silva [aut], Aucoin Pierre [aut] , David Awosoga [aut] , University of Waterloo Analytics Group for Games and Sports [cph]
Maintainer: Shamar Phillips <slphilli@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2026-03-16 15:50:02 UTC

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New package qshap with initial version 1.0
Package: qshap
Title: Fast Calculation of Feature Contributions in Boosting Trees
Version: 1.0
Date: 2026-03-02
Description: Computes feature-specific R-squared (R2) contributions for boosting tree models using a Shapley-value-based decomposition of the total R-squared in polynomial time. Supports models fitted with 'XGBoost' and 'LightGBM', and provides efficient parallel implementations suitable for large-scale problems. Multiple visualization tools are included for interpreting and communicating feature contributions. The methodology is described in Jiang, Zhang, and Zhang (2025) <doi:10.48550/arXiv.2407.03515>.
License: GPL (>= 2)
URL: https://github.com/catstats/Q-SHAP_R
BugReports: https://github.com/catstats/Q-SHAP_R/issues
Imports: Rcpp (>= 1.0.14), xgboost (>= 3.1.3.1), parallel, lightgbm, viridisLite, ggplot2, jsonlite, methods, progress
Suggests: shiny
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-03-09 19:50:27 UTC; jiangzhongli
Author: Steven He [aut], Zhongli Jiang [aut, cre], Dabao Zhang [aut]
Maintainer: Zhongli Jiang <zhongli.jiang.stats@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-16 16:00:07 UTC

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New package optbinningR with initial version 0.2.1
Package: optbinningR
Title: Optimal Binning Methods for Predictive Modeling and Analytics
Version: 0.2.1
Description: Native R tools for optimal binning workflows in predictive modeling. The package provides APIs for binary, multi-class and continuous targets, with multi-variable binning and scorecard workflows. Methods are informed by Navas-Palencia (2020) <doi:10.48550/arXiv.2001.08025> and Navas-Palencia (2021) <doi:10.48550/arXiv.2104.08619>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, utils
Suggests: testthat (>= 3.0.0), jsonlite, lintr, covr
URL: https://github.com/s-rani1/optbinningR
BugReports: https://github.com/s-rani1/optbinningR/issues
NeedsCompilation: no
Packaged: 2026-03-09 20:13:36 UTC; sudheerrani
Author: S. Rani [aut, cre]
Maintainer: S. Rani <s.rani@live.com>
Repository: CRAN
Date/Publication: 2026-03-16 16:00:13 UTC

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New package mvardlurt with initial version 1.0.2
Package: mvardlurt
Title: Multivariate ARDL Unit Root Test
Version: 1.0.2
Description: Implements the multivariate autoregressive distributed lag (ARDL) unit root test proposed by Sam, McNown, Goh, and Goh (2024) <doi:10.1080/03796205.2024.2439101>. The test augments the standard ADF regression with lagged levels of a covariate to improve power when cointegration exists. Bootstrap critical values ensure correct size regardless of nuisance parameters. Provides automatic lag selection via AIC/BIC, diagnostic tests, and comprehensive inference tables following the four-case framework.
License: GPL-3
URL: https://github.com/muhammedalkhalaf/mvardlurt
BugReports: https://github.com/muhammedalkhalaf/mvardlurt/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: grDevices, graphics, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-03-09 17:54:26 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-16 15:50:10 UTC

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New package jumble with initial version 0.1.0
Package: jumble
Title: A Discrete Colour Palette
Version: 0.1.0
Description: A pretty discrete colour palette that is also relatively colourblind and contrast-safe for a light background.
License: MIT + file LICENSE
URL: https://github.com/davidhodge931/jumble, https://davidhodge931.github.io/jumble/
BugReports: https://github.com/davidhodge931/jumble/issues
Depends: R (>= 4.1.0)
Suggests: scales, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-03-09 18:56:46 UTC; david
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-16 15:50:16 UTC

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New package hmetad with initial version 0.1.0
Package: hmetad
Title: Fit the Meta-D' Model of Confidence Ratings Using 'brms'
Version: 0.1.0
Description: Implementation of Bayesian regressions over the meta-d' model of psychological data from two alternative forced choice tasks with ordinal confidence ratings. For more information, see Maniscalco & Lau (2012) <doi:10.1016/j.concog.2011.09.021>. The package is a front-end to the 'brms' package, which facilitates a wide range of regression designs, as well as tools for efficiently extracting posterior estimates, plotting, and significance testing.
License: GPL (>= 3)
Depends: R (>= 4.2.0), brms (>= 2.23.0)
Imports: abind (>= 1.4.8), dplyr (>= 1.2.0), glue (>= 1.8.0), posterior (>= 1.6.1), rlang (>= 1.1.7), stats, stringr (>= 1.6.0), tidybayes (>= 3.0.7), tidyr (>= 1.3.2)
Suggests: colorspace, knitr, purrr (>= 1.2.1), rmarkdown, testthat (>= 3.0.0), tidyverse (>= 2.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://metacoglab.github.io/hmetad/, https://github.com/metacoglab/hmetad
BugReports: https://github.com/metacoglab/hmetad/issues
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-09 18:52:02 UTC; kevin
Author: Kevin O'Neill [aut, cre, cph] , Stephen Fleming [aut, cph]
Maintainer: Kevin O'Neill <kevin.o'neill@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2026-03-16 16:00:26 UTC

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New package dormancy with initial version 0.1.0
Package: dormancy
Title: Detection and Analysis of Dormant Patterns in Data
Version: 0.1.0
Description: A novel framework for detecting, quantifying, and analyzing dormant patterns in multivariate data. Dormant patterns are statistical relationships that exist in data but remain inactive until specific trigger conditions emerge. This concept, inspired by biological dormancy (seeds, pathogens) and geological phenomena (dormant faults), provides tools to identify latent risks, hidden correlations, and potential phase transitions in complex systems. The package introduces methods for quantifying dormancy depth, trigger sensitivity, and awakening risk - enabling analysts to discover patterns that conventional methods miss because they focus only on currently active relationships.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, utils, grDevices, graphics, Rcpp (>= 1.0.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2, covr
LinkingTo: Rcpp
VignetteBuilder: knitr
URL: https://github.com/danymukesha/dormancy/, https://danymukesha.github.io/dormancy/
BugReports: https://github.com/danymukesha/dormancy/issues/
NeedsCompilation: yes
Packaged: 2026-03-09 20:30:00 UTC; dany.mukesha
Author: Dany Mukesha [aut, cre]
Maintainer: Dany Mukesha <danymukesha@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-16 16:00:33 UTC

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New package boundedur with initial version 1.0.1
Package: boundedur
Title: Unit Root Tests for Bounded Time Series
Version: 1.0.1
Description: Implements unit root tests for bounded time series following Cavaliere and Xu (2014) <doi:10.1016/j.jeconom.2013.08.012>. Standard unit root tests (ADF, Phillips-Perron) have non-standard limiting distributions when the time series is bounded. This package provides modified ADF and M-type tests (MZ-alpha, MZ-t, MSB) with p-values computed via Monte Carlo simulation of bounded Brownian motion. Supports one-sided (lower bound only) and two-sided bounds, with automatic lag selection using the MAIC criterion of Ng and Perron (2001) <doi:10.1111/1468-0262.00256>.
License: GPL-3
URL: https://github.com/muhammedalkhalaf/boundedur
BugReports: https://github.com/muhammedalkhalaf/boundedur/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-09 17:14:10 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Giuseppe Cavaliere [ctb] , Fang Xu [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-16 15:50:22 UTC

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Fri, 13 Mar 2026

New package xtbhst with initial version 1.0.1
Package: xtbhst
Title: Bootstrap Slope Heterogeneity Test for Panel Data
Version: 1.0.1
Description: Implements the bootstrap slope heterogeneity test for panel data based on Blomquist and Westerlund (2015) <doi:10.1007/s00181-015-0978-z>. Tests the null hypothesis that slope coefficients are homogeneous across cross-sectional units. Provides both standard and adjusted Delta statistics with bootstrap p-values. Supports partialling out of control variables and cross-sectional averages for dealing with cross-sectional dependence.
License: GPL-3
URL: https://github.com/muhammedalkhalaf/xtbhst
BugReports: https://github.com/muhammedalkhalaf/xtbhst/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, graphics, grDevices
Suggests: testthat (>= 3.0.0), plm
NeedsCompilation: no
Packaged: 2026-03-09 17:14:06 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Tore Bersvendsen [ctb], Jan Ditzen [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-13 13:30:02 UTC

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New package S7schema with initial version 0.1.0
Package: S7schema
Title: 'S7' Framework for Schema-Validated YAML Configuration
Version: 0.1.0
Description: Provides a generic framework for working with YAML (YAML Ain't Markup Language) configuration files. Uses 'ajv' (Another JSON Schema Validator) via 'V8' to validate configurations against JSON Schema definitions. Configuration objects inherit from 'S7' classes and base lists, supporting downstream extension through custom classes and methods.
License: Apache License (>= 2)
URL: https://novonordisk-opensource.github.io/S7schema/, https://github.com/NovoNordisk-OpenSource/S7schema
BugReports: https://github.com/NovoNordisk-OpenSource/S7schema/issues
Depends: R (>= 4.1)
Imports: cli, rlang, S7, tools, V8, yaml (>= 2.3.8)
Suggests: jsonlite, knitr, purrr, rmarkdown, testthat (>= 3.0.0), tibble, tidyr, withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-09 14:53:12 UTC; oath
Author: Aksel Thomsen [aut, cre], Matthew Phelps [aut], Novo Nordisk A/S [cph], Evgeny Poberezkin [cph] , Python Software Foundation [cph] ), Vladimir Zapparov [cph] , Vincent Le Goff [cph] , Vsevolod Strukchinsky [cph]
Maintainer: Aksel Thomsen <oath@novonordisk.com>
Repository: CRAN
Date/Publication: 2026-03-13 13:10:21 UTC

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New package qardlr with initial version 1.0.1
Package: qardlr
Title: Quantile Autoregressive Distributed Lag Model
Version: 1.0.1
Date: 2026-03-07
Description: Implements the Quantile Autoregressive Distributed Lag (QARDL) model of Cho, Kim and Shin (2015) <doi:10.1016/j.jeconom.2015.01.003>. Estimates quantile-specific long-run (beta), short-run autoregressive (phi), and impact (gamma) parameters. Features include BIC-based automatic lag selection, Error Correction Model (ECM) parameterization, Wald tests for parameter constancy across quantiles, rolling/recursive QARDL estimation, Monte Carlo simulation, and publication-ready output tables.
License: GPL-3
URL: https://github.com/muhammedalkhalaf/qardlr
BugReports: https://github.com/muhammedalkhalaf/qardlr/issues
Depends: R (>= 3.5.0)
Imports: quantreg (>= 5.95), stats, MASS
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-09 13:37:40 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb] , Jin Seo Cho [ctb] , Tae-Hwan Kim [ctb] , Yongcheol Shin [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-13 13:10:02 UTC

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New package inkaR with initial version 0.4.3
Package: inkaR
Title: Download and Analyze Spatial Development Data from INKAR
Version: 0.4.3
Description: A lightweight package to download spatial development indicators from the BBSR INKAR (Indikatoren und Karten zur Raum- und Stadtentwicklung) database. It provides a modern interface using 'httr2', robust caching, concurrent API querying for fast spatial dimension lookups, and native geospatial mapping integration.
URL: https://github.com/ofurkancoban/inkaR
BugReports: https://github.com/ofurkancoban/inkaR/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: httr2, jsonlite, tibble, dplyr, rlang, tidyr, utils
Suggests: readxl, testthat (>= 3.0.0), knitr, rmarkdown, sf, geodata, ggplot2, httptest2
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-03-09 14:18:21 UTC; ofurkancoban
Author: Omer Furkan Coban [aut, cre]
Maintainer: Omer Furkan Coban <oemer.furkan.coban@uni-oldenburg.de>
Repository: CRAN
Date/Publication: 2026-03-13 13:10:08 UTC

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New package hatemicoint with initial version 1.0.1
Package: hatemicoint
Title: Hatemi-J Cointegration Test with Two Unknown Regime Shifts
Version: 1.0.1
Description: Implements the Hatemi-J (2008) cointegration test which allows for two unknown structural breaks (regime shifts) in the cointegrating relationship. The test provides three test statistics: ADF* (Augmented Dickey-Fuller), Zt* (Phillips-Perron Z_t), and Za* (Phillips-Perron Z_alpha), along with endogenously determined break dates. Critical values are based on simulations from Hatemi-J (2008) <doi:10.1007/s00181-007-0175-9>.
License: GPL-3
URL: https://github.com/muhammedalkhalaf/hatemicoint
BugReports: https://github.com/muhammedalkhalaf/hatemicoint/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-03-09 17:14:09 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-13 13:30:08 UTC

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New package freebsdcontribs with initial version 0.1.0
Package: freebsdcontribs
Title: 'FreeBSD' Contributor and Commit Statistics
Version: 0.1.0
Description: Over 30 years of 'FreeBSD' commit activity and contributor growth. Includes daily commit counts and new committer data extracted from the cloned git repository (1993-2026), plus 'Phabricator' signup statistics (2013-2026). Contains no personal data -- only aggregated counts. Useful for time series analysis, growth modeling, and studying open source community dynamics.
License: CC0
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0)
URL: https://github.com/chrislongros/freebsdcontribs
BugReports: https://github.com/chrislongros/freebsdcontribs/issues
NeedsCompilation: no
Packaged: 2026-03-09 16:42:27 UTC; chris
Author: Christos Longros [aut, cre]
Maintainer: Christos Longros <chris.longros@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-13 13:30:19 UTC

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New package amp.dm with initial version 0.2.0
Package: amp.dm
Title: Data Management Tools for Pharmacometrics
Version: 0.2.0
Description: Tools and functions to efficiently create datasets used in pharmacometric analysis. Additional functionality is added to create documentation and prepare files for submission and quality control purposes.
Depends: R (>= 4.3.0)
License: GPL (>= 3)
URL: https://leidenadvancedpkpd.github.io/amp.dm/, https://github.com/LeidenAdvancedPKPD/amp.dm
BugReports: https://github.com/LeidenAdvancedPKPD/amp.dm/issues
Encoding: UTF-8
VignetteBuilder: quarto
Imports: tools, utils, stats, grDevices, cli, rlang, dplyr, vctrs, forcats, readxl, haven, fs, xtable
Suggests: ggplot2, patchwork, rstudioapi, knitr, R3port, testthat, quarto, tidyr
NeedsCompilation: no
Packaged: 2026-03-09 15:48:09 UTC; r.hooijmaijers
Author: Richard Hooijmaijers [aut, cre, cph], LAPP Consultants [fnd, cph]
Maintainer: Richard Hooijmaijers <richardhooijmaijers@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-13 13:20:02 UTC

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Thu, 12 Mar 2026

New package xtcspqardl with initial version 1.0.2
Package: xtcspqardl
Title: Cross-Sectionally Augmented Panel Quantile ARDL
Version: 1.0.2
Date: 2026-03-09
Description: Implements the Cross-Sectionally Augmented Panel Quantile Autoregressive Distributed Lag (CS-PQARDL) model and the Quantile Common Correlated Effects Mean Group (QCCEMG) estimator for panel data with cross-sectional dependence. The package handles unobserved common factors through cross-sectional averages following Pesaran (2006) <doi:10.1111/j.1468-0262.2006.00692.x> and Chudik and Pesaran (2015) <doi:10.1016/j.jeconom.2015.03.007>. Quantile regression for dynamic panels follows Harding, Lamarche, and Pesaran (2018) <doi:10.1016/j.jeconom.2018.07.010>. The ARDL approach to cointegration testing is based on Pesaran, Shin, and Smith (2001) <doi:10.1002/jae.616>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: quantreg (>= 5.97), stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/muhammedalkhalaf/xtcspqardl
BugReports: https://github.com/muhammedalkhalaf/xtcspqardl/issues
NeedsCompilation: no
Packaged: 2026-03-09 04:19:28 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 20:20:02 UTC

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New package caustests with initial version 1.0.2
Package: caustests
Title: Multiple Granger Causality Tests
Version: 1.0.2
Description: Comprehensive suite of Granger causality tests including standard Toda-Yamamoto (1995) <doi:10.1016/0304-4076(94)01616-8>, Fourier-based tests with single frequency (Enders and Jones, 2016) <doi:10.1515/snde-2014-0101> and cumulative frequencies (Nazlioglu et al., 2019) <doi:10.1080/1540496X.2018.1434072>, as well as quantile causality tests (Cai et al., 2023) <doi:10.1016/j.frl.2023.104327> and Bootstrap Fourier Granger Causality in Quantiles (Cheng et al., 2021) <doi:10.1007/s12076-020-00263-0>. All tests include bootstrap inference for robust p-values.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats, quantreg
Suggests: testthat (>= 3.0.0)
URL: https://github.com/muhammedalkhalaf/caustests
BugReports: https://github.com/muhammedalkhalaf/caustests/issues
NeedsCompilation: no
Packaged: 2026-03-09 12:46:07 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 20:10:03 UTC

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New package voucher with initial version 1.0.2
Package: voucher
Title: 'Trustdown' Interface for R
Version: 1.0.2
Description: A R interface to the 'vouch' project (<https://github.com/mitchellh/vouch>), which bills itself as "a community trust management system based on explicit vouches to participate". 'vouch' is a 'Nushell' module, so 'voucher' provides a R application programming interface (API) to modify the 'VOUCHED.td' database without 'Nushell'. 'voucher' does not depend on 'vouch' or 'Nushell'.
License: GPL (>= 3)
URL: https://github.com/VisruthSK/voucher, https://voucher.visruth.com/
Depends: R (>= 4.1.0)
Imports: cli, fs
Suggests: spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-09 05:54:33 UTC; visru
Author: Visruth Srimath Kandali [aut, cre, cph]
Maintainer: Visruth Srimath Kandali <public@visruth.com>
Repository: CRAN
Date/Publication: 2026-03-12 19:40:02 UTC

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New package ThinkingGrid with initial version 0.1.0
Package: ThinkingGrid
Title: Thinking Grid Statistics
Version: 0.1.0
Depends: R (>= 3.5.0)
Description: Provides comprehensive tools for conducting research using the Thinking Grid framework, a psychological measurement approach for understanding the stream of thought. Includes functions for generating Qualtrics surveys with the thinking grid, processing survey responses, calculating quadrant depths, and creating various visualization types including heatmaps, animations, and statistical plots. See Irving, Z. C., Murray, S., Kuvar, V., Urena, M., and Mills, C. (2025) "Consciousness, Just in Time: Fluctuations in the Stream of Consciousness during Tasks and Rest" (manuscript under review, draft available from zci7c@virginia.edu).
URL: https://a-kulkarn.github.io/qualtrics-thinkgrid/
BugReports: https://github.com/a-kulkarn/qualtrics-thinkgrid/issues
Imports: colorspace, cowplot, ggplot2, gifski, grid, gridExtra, methods, reticulate (>= 1.45), scales, stats, utils
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: png, testthat (>= 3.0.0), vdiffr, lme4, knitr, rmarkdown, sjPlot
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-06 06:27:38 UTC; f004584
Author: Avinash Kulkarni [aut, cre, cph], Vishal Kuvar [aut] , Zac Irving [ctb, fnd]
Maintainer: Avinash Kulkarni <avi.kulkarni.2.71@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 19:20:02 UTC

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New package SigBridgeRUtils with initial version 0.2.6
Package: SigBridgeRUtils
Title: Some Utilities & Base Supports for 'SigBridgeR'
Version: 0.2.6
Description: Provides fundamental function support for 'SigBridgeR' and its single-cell phenotypic screening algorithm, including optional functions.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: furrr, future, MASS, Matrix, matrixStats, microbenchmark, preprocessCore, Rfast, SeuratObject, sparseMatrixStats, testthat
Imports: chk, cli, data.table, processx, purrr, reticulate, rlang
NeedsCompilation: no
Packaged: 2026-03-09 07:33:45 UTC; yyx
Author: Yuxi Yang [cre, aut]
Maintainer: Yuxi Yang <15364051195@163.com>
Repository: CRAN
Date/Publication: 2026-03-12 19:40:07 UTC

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New package obr with initial version 0.2.2
Package: obr
Title: Access Office for Budget Responsibility Data
Version: 0.2.2
Description: Provides clean, tidy access to data published by the Office for Budget Responsibility (OBR), the UK's independent fiscal watchdog. Covers the Public Finances Databank (outturn for PSNB, PSND, receipts, and expenditure since 1946), the Historical Official Forecasts Database (every OBR forecast since 2010), the Economic and Fiscal Outlook detailed forecast tables (five-year projections from the latest Budget), the Welfare Trends Report (incapacity benefit spending and caseloads), and the Fiscal Risks and Sustainability Report (50-year state pension projections). Data is downloaded from the OBR on first use and cached locally for subsequent calls. Data is sourced from the OBR website <https://obr.uk>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://github.com/charlescoverdale/obr
BugReports: https://github.com/charlescoverdale/obr/issues
Depends: R (>= 4.1.0)
Imports: httr2, readxl, cli
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-09 08:53:37 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 19:50:02 UTC

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New package ISMtools with initial version 0.1.0
Package: ISMtools
Title: Interpretive Structural Modelling Analysis Tools
Version: 0.1.0
Description: A comprehensive toolkit for Interpretive Structural Modelling (ISM) analysis. Provides functions for creating adjacency matrices from various input formats including SSIM (Structural Self-Interaction Matrix), computing reachability matrices using Warshall's algorithm, performing hierarchical level partitioning, MICMAC (Cross-Impact Matrix Multiplication Applied to Classification) analysis, and visualizing ISM structures through both static and interactive diagrams. ISM is a methodology for identifying and summarizing relationships among specific elements which define an issue or problem, as described in Warfield (1974) <doi:10.1109/TSMC.1974.5408524>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: graphics, stats
Suggests: igraph, visNetwork, viridis, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-09 03:46:49 UTC; tangy
Author: Yi Tang [aut, cre]
Maintainer: Yi Tang <tangyi@cidp.edu.cn>
Repository: CRAN
Date/Publication: 2026-03-12 19:30:08 UTC

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New package dialvalidator with initial version 0.1.0
Package: dialvalidator
Title: Phone Number Validation Using Google's 'libphonenumber' Metadata
Version: 0.1.0
Description: Parses, validates, formats, and classifies phone numbers using Google's 'libphonenumber' metadata. Covers 240+ territories with support for mobile, landline, toll-free, and other number types. Unlike 'dialr', this package requires no Java runtime — metadata is parsed ahead of time from the upstream 'PhoneNumberMetadata.xml' and shipped as a bundled R object. Functions accept character vectors and return simple R types (logical, character, data.frame).
License: Apache License (>= 2)
URL: https://pcstrategyandopsco.github.io/dialvalidator/, https://github.com/pcstrategyandopsco/dialvalidator
BugReports: https://github.com/pcstrategyandopsco/dialvalidator/issues
Encoding: UTF-8
Imports: cli, rlang, stringr
Suggests: xml2, testthat (>= 3.0.0), knitr, rmarkdown
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-09 09:49:32 UTC; peeyooshchandra
Author: Peeyoosh Chandra [aut, cre]
Maintainer: Peeyoosh Chandra <pc@strategyandops.co>
Repository: CRAN
Date/Publication: 2026-03-12 19:50:08 UTC

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New package decisionpaths with initial version 0.1.0
Package: decisionpaths
Title: Construct and Audit Longitudinal Decision Paths
Version: 0.1.0
Description: Tools for constructing and auditing longitudinal decision paths from panel data. Implements a decision infrastructure framework for representing institutional AI systems as generators of time-ordered binary decision sequences. Provides functions to build path objects from panel data, summarise per-unit descriptors (dosage, switching rate, onset, duration, longest run), compute the Decision Reliability Index (DRI) following Cronbach (1951) <doi:10.1007/BF02310555>, estimate Shannon decision-path entropy following Shannon (1948) <doi:10.1002/j.1538-7305.1948.tb01338.x>, classify systems by infrastructure type (static, periodic, continuous, human-in-the-loop), and evaluate subgroup disparities in decision exposure and stability. Applications include education, policy, health, and organisational research.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli (>= 3.0.0), dplyr (>= 1.0.0), magrittr (>= 2.0.0), rlang (>= 0.4.0), stats, tibble (>= 3.0.0)
Suggests: ggplot2 (>= 3.3.0), knitr, patchwork, rmarkdown, testthat (>= 3.0.0), tidyr (>= 1.1.0)
URL: https://github.com/causalfragility-lab/decisionpaths
BugReports: https://github.com/causalfragility-lab/decisionpaths/issues
NeedsCompilation: no
Packaged: 2026-03-09 00:44:29 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-03-12 19:30:02 UTC

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New package brightspaceR with initial version 0.1.0
Package: brightspaceR
Title: Access D2L 'Brightspace' Data Sets via the 'BDS' API
Version: 0.1.0
Description: Connect to the D2L 'Brightspace' Data Sets ('BDS') API via 'OAuth2', download all available datasets as tidy data frames with proper types, join them using convenience functions that know the foreign key relationships, and analyse student engagement, performance, and retention with ready-made analytics functions.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
URL: https://pcstrategyandopsco.github.io/brightspaceR/, https://github.com/pcstrategyandopsco/brightspaceR
BugReports: https://github.com/pcstrategyandopsco/brightspaceR/issues
Encoding: UTF-8
Imports: cli, config, curl, dplyr, httr2, lubridate, openssl, purrr, readr, rlang, stringr, tibble, tools, utils
Suggests: httptest2, knitr, pkgdown, rmarkdown, rstudioapi, testthat (>= 3.0.0), withr, yaml
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-09 09:39:02 UTC; peeyooshchandra
Author: Peeyoosh Chandra [aut, cre]
Maintainer: Peeyoosh Chandra <pc@strategyandops.co>
Repository: CRAN
Date/Publication: 2026-03-12 19:50:13 UTC

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New package stacr with initial version 0.1.0
Package: stacr
Title: Tidy 'STAC' Workflows for R
Version: 0.1.0
Description: Wraps the 'rstac' package with a pipe-friendly, tidy API. All results return 'tibbles' instead of nested lists. Ships with a catalog registry of known 'STAC' endpoints including Planetary Computer, Earth Search, and 'USGS', while supporting any 'STAC' API URL.
License: MIT + file LICENSE
URL: https://github.com/null-island-labs/stacr
BugReports: https://github.com/null-island-labs/stacr/issues
Depends: R (>= 4.1.0)
Imports: rstac, tibble, cli
Suggests: gdalcubes, jsonlite, leaflet, sf, testthat (>= 3.0.0), withr, knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-08 18:32:11 UTC; chrislyons
Author: Chris Lyons [aut, cre, cph]
Maintainer: Chris Lyons <chrislyons@nullislandlabs.dev>
Repository: CRAN
Date/Publication: 2026-03-12 09:10:02 UTC

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New package xtpqardl with initial version 1.0.1
Package: xtpqardl
Title: Panel Quantile Autoregressive Distributed Lag Model
Version: 1.0.1
Date: 2026-02-20
Description: Estimation of Panel Quantile Autoregressive Distributed Lag (PQARDL) models that combine panel ARDL methodology with quantile regression. Supports Pooled Mean Group (PMG), Mean Group (MG), and Dynamic Fixed Effects (DFE) estimators across multiple quantiles. Computes long-run cointegrating parameters, error correction term speed of adjustment, half-life of adjustment, and performs Wald tests for parameter equality across quantiles. Based on the econometric frameworks of Pesaran, Shin, and Smith (1999) <doi:10.1080/01621459.1999.10474156>, Cho, Kim, and Shin (2015) <doi:10.1016/j.jeconom.2015.02.030>, and Bildirici and Kayikci (2022) <doi:10.1016/j.energy.2022.124303>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats, quantreg
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-07 13:56:08 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:10:03 UTC

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New package xtdhcoint with initial version 1.0.1
Package: xtdhcoint
Title: Durbin-Hausman Panel Cointegration Tests
Version: 1.0.1
Date: 2026-03-07
Description: Implements the Durbin-Hausman panel cointegration tests of Westerlund (2008) <doi:10.1002/jae.963>. The tests are robust to cross-sectional dependence through common factor extraction using principal components. Provides both group-mean (DHg) and panel (DHp) test statistics with automatic factor number selection via information criteria.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/muhammedalkhalaf/xtdhcoint
BugReports: https://github.com/muhammedalkhalaf/xtdhcoint/issues
NeedsCompilation: no
Packaged: 2026-03-08 10:16:40 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb] , Joakim Westerlund [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:30:02 UTC

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New package wstats with initial version 0.1.1
Package: wstats
Title: Weighted Descriptive Statistics
Version: 0.1.1
Description: Weighted versions of common descriptive statistics (variance, standard deviation, covariance, correlation, quantiles).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: glue, rlang
Suggests: pkgdown, testthat (>= 3.0.0)
LinkingTo: cpp11
NeedsCompilation: yes
Packaged: 2026-03-07 21:51:04 UTC; jgaeb
Author: Johann D. Gaebler [aut, cre]
Maintainer: Johann D. Gaebler <me@jgaeb.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:20:02 UTC

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New package rMIDAS2 with initial version 0.1.1
Package: rMIDAS2
Title: Multiple Imputation with 'MIDAS2' Denoising Autoencoders
Version: 0.1.1
Description: Fits 'MIDAS' denoising autoencoder models for multiple imputation of missing data, generates multiply-imputed datasets, computes imputation means, and runs Rubin's rules regression analysis. Wraps the 'MIDAS2' 'Python' engine via a local 'FastAPI' server over 'HTTP', so no 'reticulate' dependency is needed at runtime. Methods are described in Lall and Robinson (2022) <doi:10.1017/pan.2020.49> and Lall and Robinson (2023) <doi:10.18637/jss.v107.i09>.
License: MIT + file LICENSE
URL: https://github.com/MIDASverse/MIDAS2
BugReports: https://github.com/MIDASverse/MIDAS2/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
SystemRequirements: Python (>= 3.9) with the 'midasverse-midas-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: 2026-03-08 10:22:49 UTC; t.robinson7
Author: Thomas Robinson [aut, cre], Ranjit Lall [aut]
Maintainer: Thomas Robinson <t.robinson7@lse.ac.uk>
Repository: CRAN
Date/Publication: 2026-03-12 08:30:08 UTC

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New package readoecd with initial version 0.3.0
Package: readoecd
Title: Download and Tidy Data from the OECD
Version: 0.3.0
Description: Provides clean, tidy access to key economic indicators published by the Organisation for Economic Co-operation and Development (OECD), covering GDP, CPI inflation, unemployment, tax revenue, government deficit, health expenditure, education expenditure, income inequality, labour productivity, and current account balance across all 38 OECD member countries. Data is downloaded from the OECD Data Explorer API <https://data-explorer.oecd.org> on first use and cached locally for subsequent calls. Returns tidy long-format data frames ready for analysis and visualisation.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://github.com/charlescoverdale/readoecd
BugReports: https://github.com/charlescoverdale/readoecd/issues
Depends: R (>= 4.1.0)
Imports: httr2, cli
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-07 18:57:32 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:10:09 UTC

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New package ons with initial version 0.1.0
Package: ons
Title: Download Data from the Office for National Statistics
Version: 0.1.0
Description: Provides functions to download and tidy statistical data published by the Office for National Statistics <https://www.ons.gov.uk>. Covers GDP, inflation (CPI, CPIH, RPI), unemployment, employment, wages, trade, retail sales, house prices, productivity, population, and public sector finances. Most series are fetched from the ONS website using its CSV time series endpoint. House price data is sourced from HM Land Registry <https://www.gov.uk/government/organisations/land-registry>. Data is cached locally between sessions.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), tools
Suggests: testthat (>= 3.0.0)
URL: https://github.com/charlescoverdale/ons
BugReports: https://github.com/charlescoverdale/ons/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-03-08 18:34:01 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 09:00:02 UTC

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New package lmmprobe with initial version 0.1.0
Package: lmmprobe
Title: Sparse High-Dimensional Linear Mixed Modeling with a Partitioned Empirical Bayes ECM Algorithm
Version: 0.1.0
Date: 2026-02-27
Description: Implements a partitioned Empirical Bayes Expectation Conditional Maximization (ECM) algorithm for sparse high-dimensional linear mixed modeling as described in Zgodic, Bai, Zhang, and McLain (2025) <doi:10.1007/s11222-025-10649-z>. The package provides efficient estimation and inference for mixed models with high-dimensional fixed effects.
License: GPL (>= 2)
URL: https://github.com/anjazgodic/lmmprobe
BugReports: https://github.com/anjazgodic/lmmprobe/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.8.3), lme4 (>= 1.1-29), future.apply (>= 1.10.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, MASS
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-08 16:13:58 UTC; peter
Author: Anja Zgodic [aut, cre], Ray Bai [aut] , Jiajia Zhang [aut] , Alex McLain [aut] , Peter Olejua [aut]
Maintainer: Anja Zgodic <anja.zgodic@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 09:00:09 UTC

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New package INCVCommunityDetection with initial version 0.1.0
Package: INCVCommunityDetection
Title: Inductive Node-Splitting Cross-Validation for Community Detection
Version: 0.1.0
Description: Implements Inductive Node-Splitting Cross-Validation (INCV) for selecting the number of communities in stochastic block models. Provides f-fold and random-split node-level cross-validation, along with competing methods including CROISSANT, Edge Cross-Validation (ECV), and Node Cross-Validation (NCV). Supports both SBM and Degree-Corrected Block Models (DCBM), with multiple loss functions (L2, binomial deviance, AUC). Includes network simulation utilities for SBM, RDPG, and latent space models.
URL: https://github.com/ivylinzhang97/incv-community-detection
BugReports: https://github.com/ivylinzhang97/incv-community-detection/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: methods, Matrix, RSpectra, ClusterR, irlba, parallel, cluster, Rfast, data.table, IMIFA, stats
Suggests: latentnet, network, rdist, igraph, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-07 18:02:22 UTC; linzhang
Author: Lin Zhang [aut, cre], Bokai Yang [aut]
Maintainer: Lin Zhang <linzhang1126@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:10:15 UTC

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New package hmrc with initial version 0.3.0
Package: hmrc
Title: Download and Tidy HMRC Statistical Data
Version: 0.3.0
Description: Provides functions to download, parse, and tidy statistical data published by HM Revenue and Customs (HMRC) on GOV.UK. Covers monthly tax receipts (41 tax heads from 2016), VAT (from 1973), fuel duties (from 1990), tobacco duties (from 1991), annual Corporation Tax receipts, stamp duty, research and development tax credit statistics (from 2000), tax gap estimates, Income Tax liabilities by income range, and monthly property transaction counts. File URLs are resolved at runtime via the GOV.UK Content API <https://www.gov.uk/api/content>, so data is always current without hardcoded URLs. Files are cached locally between sessions.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), readODS (>= 2.3.0), readxl (>= 1.4.0), tools
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, scales
VignetteBuilder: knitr
URL: https://github.com/charlescoverdale/hmrc
BugReports: https://github.com/charlescoverdale/hmrc/issues
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-08 15:30:25 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:50:02 UTC

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New package fbardl with initial version 1.0.2
Package: fbardl
Title: Fourier Bootstrap ARDL Cointegration Test
Version: 1.0.2
Description: Implements the Fourier Bootstrap Autoregressive Distributed Lag (FBARDL) bounds testing approach for cointegration analysis. Combines the Pesaran, Shin & Smith (2001) <doi:10.1002/jae.616> ARDL bounds testing framework with Fourier terms to capture structural breaks following Yilanci, Bozoklu & Gorus (2020) <doi:10.1080/00036846.2019.1686454>, and bootstrap critical values based on McNown, Sam & Goh (2018) <doi:10.1080/00036846.2017.1366643> and Bertelli, Vacca & Zoia (2022) <doi:10.1016/j.econmod.2022.105987>. Features include automatic lag selection via AIC/BIC, optimal Fourier frequency selection by minimum SSR, long-run and short-run coefficient estimation, diagnostic tests, and dynamic multiplier analysis.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
LazyData: true
URL: https://github.com/muhammedalkhalaf/fbardl
BugReports: https://github.com/muhammedalkhalaf/fbardl/issues
NeedsCompilation: no
Packaged: 2026-03-08 11:05:20 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:40:02 UTC

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New package boe with initial version 0.1.0
Package: boe
Title: Download Data from the Bank of England Statistical Database
Version: 0.1.0
Description: Provides functions to download and tidy statistical data published by the Bank of England <https://www.bankofengland.co.uk>. Covers Bank Rate, SONIA, gilt yields, exchange rates, mortgage rates, mortgage approvals, consumer credit, and money supply. Series are fetched from the Bank of England Interactive Statistical Database using its CSV endpoint. Data is cached locally between sessions.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), tools
Suggests: testthat (>= 3.0.0), ggplot2, scales
URL: https://github.com/charlescoverdale/boe
BugReports: https://github.com/charlescoverdale/boe/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-03-08 17:24:20 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 09:00:23 UTC

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New package tempodisco with initial version 2.1.0
Package: tempodisco
Title: Temporal Discounting Models
Description: Tools for working with temporal discounting data, designed for behavioural researchers to simplify data cleaning/scoring and model fitting. The package implements widely used methods such as computing indifference points from adjusting amount task (Frye et al., 2016, <doi:10.3791/53584>), testing for non-systematic discounting per the criteria of Johnson & Bickel (2008, <doi:10.1037/1064-1297.16.3.264>), scoring questionnaires according to the methods of Kirby et al. (1999, <doi:10.1037//0096-3445.128.1.78>) and Wileyto et al (2004, <doi:10.3758/BF03195548>), Bayesian model selection using a range of discount functions (Franck et al., 2015, <doi:10.1002/jeab.128>), drift diffusion models of discounting (Peters & D'Esposito, 2020, <doi:10.1371/journal.pcbi.1007615>), and model-agnostic measures of discounting such as area under the curve (Myerson et al., 2001, <doi:10.1901/jeab.2001.76-235>) and ED50 (Yoon & Higgins, 2008, <doi:10 [...truncated...]
Author: Isaac Kinley [aut, cre]
Maintainer: Isaac Kinley <isaac.kinley@gmail.com>
License: GPL-3
Version: 2.1.0
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, graphics, methods, grDevices, RWiener
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
URL: https://kinleyid.github.io/tempodisco/
BugReports: https://github.com/kinleyid/tempodisco/issues
NeedsCompilation: no
Packaged: 2026-03-07 15:05:39 UTC; isaac
Repository: CRAN
Date/Publication: 2026-03-12 08:00:02 UTC

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New package PubMatrixR with initial version 1.0.0
Package: PubMatrixR
Title: PubMed Pairwise Co-Occurrence Matrix Construction and Visualization
Version: 1.0.0
Description: Queries the 'NCBI' (National Center for Biotechnology Information) Entrez 'E-utilities' API to count pairwise co-occurrences between two sets of terms in 'PubMed' or 'PubMed Central'. It returns a matrix-like data frame of publication counts and can export hyperlink-enabled results in CSV or ODS format. The package also provides heatmap helpers for exploratory visualization of overlap patterns. Based on the method described in Becker et al. (2003) "PubMatrix: a tool for multiplex literature mining" <doi:10.1186/1471-2105-4-61>.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/ToledoEM/PubMatrixR-v2
BugReports: https://github.com/ToledoEM/PubMatrixR-v2/issues
Imports: pbapply, pheatmap, readODS, xml2
Suggests: dplyr, ggplot2, kableExtra, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-07 16:24:20 UTC; enrique
Author: Tyler Laird [aut], Enrique Toledo [aut, cre]
Maintainer: Enrique Toledo <enriquetoledo@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:00:08 UTC

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Wed, 11 Mar 2026

New package SHRED with initial version 1.0.0
Package: SHRED
Title: Setwise Hierarchical Rate of Erroneous Discovery
Version: 1.0.0
Maintainer: Toby Kenney <tkenney@mathstat.dal.ca>
Description: Setwise Hierarchical Rate of Erroneous Discovery (SHRED) methods for setwise variable selection with false discovery rate (FDR) control. Setwise variable selection means that sets of variables may be selected when the true variable cannot be identified. This allows us to maintain FDR control but increase power. Details of the SHRED methods are in Organ, Kenney & Gu (2026) <doi:10.48550/arXiv.2603.02160>.
License: GPL-3
Encoding: UTF-8
Imports: graphics, stats, ClustOfVar
NeedsCompilation: no
Packaged: 2026-03-07 12:42:44 UTC; tkenney
Author: Sarah Organ [aut], Toby Kenney [cre], Hong Gu [aut]
Repository: CRAN
Date/Publication: 2026-03-11 20:00:03 UTC

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New package rmsBMA with initial version 0.1.1
Package: rmsBMA
Title: Reduced Model Space Bayesian Model Averaging
Version: 0.1.1
Description: Implements Bayesian model averaging for settings with many candidate regressors relative to the available sample size, including cases where the number of regressors exceeds the number of observations. By restricting attention to models with at most M regressors, the package supports reduced model space inference, thereby preserving degrees of freedom for estimation. It provides posterior summaries, Extreme Bounds Analysis, model selection procedures, joint inclusion measures, and graphical tools for exploring model probabilities, model size distributions, and coefficient distributions. The methodological approach follows Doppelhofer and Weeks (2009) <doi:10.1002/jae.1046>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Imports: ggplot2, ggpubr, grid, gridExtra, Matrix, stats, tidyr, utils
Depends: R (>= 3.5.0)
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-06 19:53:25 UTC; becku
Author: Krzysztof Beck [aut, cre]
Maintainer: Krzysztof Beck <beckkrzysztof@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-11 19:30:03 UTC

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New package badp with initial version 0.4.0
Package: badp
Title: Bayesian Averaging for Dynamic Panels
Version: 0.4.0
Description: Implements Bayesian model averaging for dynamic panels with weakly exogenous regressors as described in the paper by Moral-Benito (2013, <doi:10.1080/07350015.2013.818003>). The package provides functions to estimate dynamic panel data models and analyze the results of the estimation.
License: MIT + file LICENSE
URL: https://badp-project.github.io/bdsm/, https://github.com/badp-project/bdsm
BugReports: https://github.com/badp-project/bdsm/issues
Encoding: UTF-8
LazyData: true
Suggests: pkgdown, rmarkdown, spelling, testthat (>= 3.0.0)
Imports: dplyr, ggplot2, ggpubr, grid, gridExtra, knitr, magrittr, optimbase, parallel, pbapply, Rcpp, RcppArmadillo, rje, rlang, rootSolve, stats, tidyr, tidyselect
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Depends: R (>= 3.5)
Language: en-US
NeedsCompilation: yes
Packaged: 2026-03-06 22:15:30 UTC; admin
Author: Krzysztof Beck [aut], Piotr Cukier [aut], Marcin Dubel [aut, cre], Mariusz Szczepanczyk [aut], Mateusz Wyszynski [aut]
Maintainer: Marcin Dubel <marcindubel@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-11 19:30:09 UTC

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New package ardlverse with initial version 1.1.2
Package: ardlverse
Title: Comprehensive ARDL Modeling Framework: Panel, Bootstrap, Quantile-Nonlinear, and Fourier Extensions
Version: 1.1.2
Date: 2026-02-26
Description: A unified framework for Autoregressive Distributed Lag (ARDL) modeling and cointegration analysis. Implements Panel ARDL with Pooled Mean Group (PMG), Mean Group (MG), and Dynamic Fixed Effects (DFE) estimators following Pesaran, Shin & Smith (1999) <doi:10.1002/jae.616>. Provides bootstrap-based bounds testing per Pesaran, Shin & Smith (2001) <doi:10.1002/jae.616>. Includes Quantile Nonlinear ARDL (QNARDL) combining distributional and asymmetric effects based on Shin, Yu & Greenwood-Nimmo (2014) <doi:10.1007/978-1-4899-8008-3_9>, and Fourier ARDL for modeling smooth structural breaks following Enders & Lee (2012) <doi:10.1016/j.econlet.2012.05.019>. Features include Augmented ARDL (AARDL) with deferred t and F tests, Multiple-Threshold NARDL for complex asymmetries, Rolling/Recursive ARDL for time-varying relationships, and Panel NARDL for nonlinear panel cointegration. All methods include comprehensive diagnostics, publication-ready outputs, an [...truncated...]
License: GPL-3
URL: https://github.com/muhammedalkhalaf/ardlverse
BugReports: https://github.com/muhammedalkhalaf/ardlverse/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, MASS, quantreg, lmtest, ggplot2, gridExtra, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr
NeedsCompilation: no
Packaged: 2026-03-07 04:24:37 UTC; acad_
Author: Muhammad Abdullah Alkhalaf [aut, cre] , Merwan Roudane [ctb]
Maintainer: Muhammad Abdullah Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-11 19:50:02 UTC

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New package WBI with initial version 0.1.0
Package: WBI
Title: Wasserstein Bipolarization Index
Version: 0.1.0
Description: Computation of the Wasserstein Bipolarization Index as described in Lee and Sobel (Forthcoming) <doi:10.48550/arXiv.2408.03331>. Provides both asymptotic (Sommerfeld, 2017 <https://ediss.uni-goettingen.de/bitstream/handle/11858/00-1735-0000-0023-3FA1-C/DissertationSommerfeldRev.pdf?sequence=1>) and bootstrap methods (Efron and Narasimhan, 2020 <doi:10.1080/10618600.2020.1714633>) for calculating confidence intervals.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: transport, dplyr, bcaboot
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-06 16:32:31 UTC; hanelee
Author: Hane Lee [aut, cre]
Maintainer: Hane Lee <hl3333@columbia.edu>
Repository: CRAN
Date/Publication: 2026-03-11 16:40:11 UTC

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New package RFmstate with initial version 0.1.2
Package: RFmstate
Title: Random Forest-Based Multistate Survival Analysis
Version: 0.1.2
Author: Yiqing Chen [aut, cre]
Maintainer: Yiqing Chen <y.chen@tamu.edu>
Description: Fits cause-specific random survival forests for flexible multistate survival analysis with covariate-adjusted transition probabilities computed via product-integral. State transitions are modeled by random forests. Subject-specific transition probability matrices are assembled from predicted cumulative hazards using the product-integral formula. Also provides a standalone Aalen-Johansen nonparametric estimator as a covariate-free baseline. Supports arbitrary state spaces with any number of states (three or more) and any set of allowed transitions, applicable to clinical trials, disease progression, reliability engineering, and other domains where subjects move among discrete states over time. Provides per-transition feature importance, bias-variance diagnostics, and comprehensive visualizations. Handles right censoring and competing transitions. Methods are described in Ishwaran et al. (2008) <doi:10.1214/08-AOAS169> for random survival forests, Putter et al. (2007) <doi:10.10 [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: survival, ranger, stats, graphics, grDevices, utils
Suggests: knitr, rmarkdown, mstate, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-27 16:41:43 UTC; y.chen
Repository: CRAN
Date/Publication: 2026-03-11 16:40:16 UTC

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New package ModalCens with initial version 0.1.0
Package: ModalCens
Title: Parametric Modal Regression with Right Censoring
Version: 0.1.0
Description: Implements parametric modal regression for continuous positive distributions of the exponential family under right censoring. Provides functions to link the conditional mode to a linear predictor using reparameterizations for Gamma, Beta, Weibull, and Inverse Gaussian families. Includes maximum likelihood estimation via numerical optimization, asymptotic inference based on the observed Fisher information matrix, and model diagnostics using randomized quantile residuals.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics
URL: https://github.com/chedgala/ModalCens
BugReports: https://github.com/chedgala/ModalCens/issues
NeedsCompilation: no
Packaged: 2026-03-06 18:12:16 UTC; chedgala
Author: Christian Galarza [aut, cre], Victor Lachos [aut]
Maintainer: Christian Galarza <chedgala@espol.edu.ec>
Repository: CRAN
Date/Publication: 2026-03-11 16:40:22 UTC

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New package ICEHmeasures with initial version 1.0.1
Package: ICEHmeasures
Title: The Equiplot Graph and Complex Inequality Measures
Version: 1.0.1
Description: Generates the equiplot, an iconic dot-plot graph for visualizing inequalities, as well as three complex inequality measures: the slope index of inequality, the concentration index and the mean absolute difference to the mean. For more details see World Health Organization (2013) <https://www.who.int/docs/default-source/gho-documents/health-equity/handbook-on-health-inequality-monitoring/handbook-on-health-inequality-monitoring.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tidyr, tibble, ggplot2 (>= 3.4.0), survey, rlang, grDevices, car
Suggests: viridisLite
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-06 19:30:43 UTC; Leo
Author: Leonardo Ferreira [aut, cre], Luisa Arroyave [aut]
Maintainer: Leonardo Ferreira <lferreira@equidade.org>
Repository: CRAN
Date/Publication: 2026-03-11 16:50:20 UTC

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New package glasstabs with initial version 0.1.0
Package: glasstabs
Title: Animated Glass-Style Tabs and Multi-Select Filter for 'Shiny'
Version: 0.1.0
Description: Tools for creating animated glassmorphism-style tab navigation and multi-select dropdown filters in 'shiny' applications. The package provides a tab navigation component and a searchable multi-select widget with multiple checkbox indicator styles, select-all controls, and customizable colour themes. The widgets are compatible with standard 'shiny' layouts and 'bs4Dash' dashboards.
License: MIT + file LICENSE
URL: https://github.com/PrigasG/glasstabs, https://prigasg.github.io/glasstabs/
BugReports: https://github.com/PrigasG/glasstabs/issues
Imports: htmltools (>= 0.5.0), shiny (>= 1.7.0)
Suggests: bs4Dash, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-06 19:28:24 UTC; priga
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-11 16:50:08 UTC

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New package earthUI with initial version 0.1.1
Package: earthUI
Title: Interactive 'shiny' GUI for the 'earth' Package
Version: 0.1.1
Description: Provides a 'shiny'-based graphical user interface for the 'earth' package, enabling interactive building and exploration of Multivariate Adaptive Regression Splines (MARS) models. Features include data import from CSV and 'Excel' files, automatic detection of categorical variables, interactive control of interaction terms via an allowed matrix, comprehensive model diagnostics with variable importance and partial dependence plots, and publication-quality report generation via 'Quarto'.
License: AGPL (>= 3)
URL: https://github.com/wcraytor/earthUI
BugReports: https://github.com/wcraytor/earthUI/issues
Depends: R (>= 4.1.0)
Imports: earth (>= 5.3.0), ggplot2, readxl, shiny, stats, tools, utils
Suggests: bslib, callr, DBI, DT, jsonlite, knitr, plotly, quarto, rmarkdown, RSQLite, showtext, sysfonts, testthat (>= 3.0.0), writexl
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-06 19:24:12 UTC; claude-code
Author: William Craytor [aut, cre]
Maintainer: William Craytor <bcraytor@proton.me>
Repository: CRAN
Date/Publication: 2026-03-11 16:50:14 UTC

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New package llmjson with initial version 0.1.0
Package: llmjson
Title: Repair Malformed JSON Strings
Version: 0.1.0
Description: Repairs malformed JSON strings, particularly those generated by Large Language Models. Handles missing quotes, trailing commas, unquoted keys, and other common JSON syntax errors.
License: MIT + file LICENSE
URL: https://github.com/DyfanJones/llmjson, https://dyfanjones.r-universe.dev/llmjson
BugReports: https://github.com/DyfanJones/llmjson/issues
Depends: R (>= 4.2)
Suggests: bit64, ellmer, testthat (>= 3.0.0)
SystemRequirements: Cargo (Rust's package manager), rustc
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-03-05 18:19:02 UTC; Dyfan.Jones
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-11 08:40:10 UTC

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New package easyRaschBayes with initial version 0.1.0
Package: easyRaschBayes
Title: Bayesian Rasch Analysis Using 'brms'
Version: 0.1.0
Description: Reproduces classic Rasch psychometric analysis features using Bayesian item response theory models fitted with 'brms' following Bürkner (2021) <doi:10.18637/jss.v100.i05> and Bürkner (2020) <doi:10.3390/jintelligence8010005>. Supports both dichotomous and polytomous Rasch models. Features include posterior predictive item fit, conditional infit, item-restscore associations, person fit, differential item functioning, local dependence assessment via Q3 residual correlations, dimensionality assessment with residual principal components analysis, person-item targeting plots, item category probability curves, and reliability using relative measurement uncertainty following Bignardi et al. (2025) <doi:10.31234/osf.io/h54k8_v1>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: brms (>= 2.20.0), rlang (>= 1.0.0), dplyr (>= 1.1.0), tidyr (>= 1.3.0), tibble (>= 3.0.0), ggdist, stats, grDevices
Suggests: ggplot2 (>= 3.4.0), ggrepel, patchwork, eRm, testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/pgmj/easyRaschBayes
BugReports: https://github.com/pgmj/easyRaschBayes/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-04 22:45:46 UTC; magnus.johansson.3
Author: Magnus Johansson [aut, cre] , Giacomo Bignardi [ctb]
Maintainer: Magnus Johansson <pgmj@pm.me>
Repository: CRAN
Date/Publication: 2026-03-11 08:10:08 UTC

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Tue, 10 Mar 2026

New package ggsky with initial version 0.1.0
Package: ggsky
Title: Galactic and Equatorial Coordinate Implementation for 'ggplot2'
Version: 0.1.0
Description: Simple tools to draw sky maps in 'ggplot2' using galactic or equatorial coordinates. Includes custom coordinate systems, grid labels, and helpers for sky map breaks.
License: MIT + file LICENSE
URL: https://uskovgs.github.io/ggsky/
BugReports: https://github.com/uskovgs/ggsky/issues
Imports: ggplot2, grid
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-03-06 14:24:00 UTC; uskov
Author: Grigory Uskov [aut, cre, cph]
Maintainer: Grigory Uskov <uskov.russia@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-10 21:10:09 UTC

More information about ggsky at CRAN
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New package bs4Dashkit with initial version 0.1.0
Package: bs4Dashkit
Title: Branding, Theme Application and Navigation Utilities for 'bs4Dash' Dashboards
Version: 0.1.0
Description: Provides branding, theme application, and navigation utilities for applications built with 'bs4Dash' and 'shiny'. Supports configurable sidebar brand display modes, hover-expand behavior, and theme customization using CSS variables. Includes standardized navigation components such as refresh and help controls, along with helpers for common navigation bar and footer layouts.
License: MIT + file LICENSE
URL: https://github.com/PrigasG/bs4Dashkit
BugReports: https://github.com/PrigasG/bs4Dashkit/issues
Imports: bs4Dash, digest, htmltools, shiny
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-06 14:01:02 UTC; priga
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-10 21:10:15 UTC

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New package wefnexus with initial version 1.0.0
Package: wefnexus
Title: Water-Energy-Food-Nutrient-Carbon Nexus Analysis for Agronomic Systems
Version: 1.0.0
Description: Provides functions for analysing Water-Energy-Food-Nutrient-Carbon (WEFNC) nexus interactions in agricultural production systems. Includes functions for computing water use efficiency (WUE), water productivity (WP), and water footprint (WF) including green, blue, and grey components following the methodology of Hoekstra et al. (2011, ISBN:9781849712798). Includes energy budgeting tools for energy use efficiency (EUE), energy return on investment (EROI), net energy (NE), and energy productivity (EP). Computes nutrient use efficiency (NUE) metrics including agronomic efficiency (AE), physiological efficiency (PE), recovery efficiency (RE), and partial factor productivity (PFP) as defined by Dobermann (2007) <https://digitalcommons.unl.edu/agronomyfacpub/316/> and Congreves et al. (2021) <doi:10.3389/fpls.2021.637108>. Estimates carbon footprint (CF), greenhouse gas (GHG) emissions, soil organic carbon (SOC) stocks, and global warming potential (GWP) using Intergovernmental Pa [...truncated...]
License: GPL (>= 3)
URL: https://github.com/lalitrolaniya/wefnexus
BugReports: https://github.com/lalitrolaniya/wefnexus/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, rlang
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-06 11:12:28 UTC; lalitrolaniya
Author: Lalit Kumar Rolaniya [aut, cre] , Hemant Poonia [aut] , Ram Lal Jat [aut] , Monika Punia [aut] , Raja Ram Choudhary [aut]
Maintainer: Lalit Kumar Rolaniya <lalitrolaniya@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-10 20:50:02 UTC

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New package rapidcodeR with initial version 0.1.0
Package: rapidcodeR
Title: Optimized Data Analysis System for AI-Based Text Processing
Version: 0.1.0
Description: Extracts machine-readable variables from natural language text using AI APIs. Optimized for speed and cost efficiency through parallel processing and direct CSV-formatted responses from language models. Supports multiple AI providers with robust error handling and automatic retry mechanisms for failed extractions.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stringr, openai, groqR, dplyr, rlang, parallel, future, future.apply
Suggests: testthat (>= 3.0.0), irr
NeedsCompilation: no
Packaged: 2026-03-05 23:16:55 UTC; gelon
Author: Gabriel Loenn [aut, cre], Sebastian Schutte [ctb]
Maintainer: Gabriel Loenn <gablon@prio.org>
Repository: CRAN
Date/Publication: 2026-03-10 20:40:02 UTC

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New package DTFM with initial version 0.1.5
Package: DTFM
Title: Distributed Online Covariance Matrix Tests for Truncated Factor Model
Version: 0.1.5
Description: The truncated factor model is a statistical model designed to handle specific data structures in data analysis. 'DTFM' is a powerful tool designed to efficiently process and analyze distributed datasets. The philosophy of the package is described in Guo et al. (2023) <doi:10.1007/s00180-022-01270-z>.
License: MIT + file LICENSE
Suggests: rmarkdown, psych
Depends: R (>= 3.5.0)
Encoding: UTF-8
Language: en-US
Author: Beibei Wu [aut], Guangbao Guo [aut, cre]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Imports: SOPC, MASS, mvtnorm, matrixcalc, stats, tmvtnorm
Packaged: 2026-03-05 11:29:59 UTC; 86198
NeedsCompilation: no
LazyData: true
Repository: CRAN
Date/Publication: 2026-03-10 20:50:16 UTC

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New package GMX with initial version 0.9-2
Package: GMX
Title: Extended Graphical Model Checks for the Rasch Family of Models
Version: 0.9-2
Date: 2026-03-06
Description: The function plotLRT() draws pairwise graphical model checks for the Rasch Model (RM; Rasch, 1960), the Partial Credit Model(PCM; Masters, 1982), and the Rating Scale Model (RSM; Andrich, 1978) using the output object of eRm::LRtest(). The function cLRT() provides a conditional Likelihood Ratio Test (Andersen, 1973), using the routines of 'psychotools'. Users may choose to plot the threshold parameters, the cumulative thresholds, the average thresholds per item, or the person parameters. Extended coloring options allow for automated item-wise or threshold-wise coloring. For multi-group splits, all pairwise group comparisons are drawn automatically. For more details see Andersen (1973) <doi:10.1007/BF02291180>, Andrich (1978) <doi:10.1007/BF02293814>, Masters (1982) <doi:10.1007/BF02296272> and Rasch (1960, ISBN:9780598554512).
Depends: R (>= 3.0.0)
License: GPL (>= 3)
Imports: psychotools
Suggests: eRm
NeedsCompilation: no
Packaged: 2026-03-06 07:14:46 UTC; aa
Author: Rainer W. Alexandrowicz [aut, cre]
Maintainer: Rainer W. Alexandrowicz <rainer.alexandrowicz@aau.at>
Repository: CRAN
Date/Publication: 2026-03-10 19:50:02 UTC

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New package EcoNiche with initial version 1.0.2
Package: EcoNiche
Title: Community Niche Position and Width Estimation Tools
Version: 1.0.2
Description: Provides methods for estimating species niche position and niche breadth under continuous environmental gradients. The package implements canonical correspondence analysis (CCA), partial CCA (pCCA), generalized additive models (GAM), and Levins' niche breadth metrics for species-level and community-level analyses. Methods are based on ter Braak (1986) <doi:10.2307/1938672>, Okie et al. (2015) <doi:10.1098/rspb.2014.2630>, Feng et al. (2020) <doi:10.1111/mec.15441>, Wood (2017) <doi:10.1201/9781315370279>, and Levins (1968, ISBN:978-0691080628).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, mgcv, vegan,
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, viridisLite
VignetteBuilder: knitr
URL: https://github.com/yedeng-lab/EcoNiche
BugReports: https://github.com/yedeng-lab/EcoNiche/issues
NeedsCompilation: no
Packaged: 2026-03-06 03:30:52 UTC; 12857
Author: Shuotao Zhou [aut, cre], Kai Feng [aut], Ye Deng [aut]
Maintainer: Shuotao Zhou <zhoushuotao@stu.hunau.edu.cn>
Repository: CRAN
Date/Publication: 2026-03-10 12:10:02 UTC

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New package ArchipelagoEngine with initial version 0.1.1
Package: ArchipelagoEngine
Title: Spatial Weight Construction for Archipelagic Geographies
Version: 0.1.1
Description: Implements specialized K-Nearest Neighbor (KNN) logic to address the unique challenges of spatial modeling in archipelagic environments. Standard contiguity models often leave significant portions of island nations (e.g., 20% of the Philippines) mathematically isolated. This package provides tools to ensure 100% network connectivity, neutralizing spatial bias and enabling robust econometric inference. Methodology follows Anselin (1988, ISBN:9024737354) and LeSage and Pace (2009) <doi:10.1201/9781420064254>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: sf, spdep, magrittr
Suggests: splm, spatialreg, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-03-06 03:54:00 UTC; Nino Jay Talingting
Author: NJ Talingting [aut, cre]
Maintainer: NJ Talingting <ninotalingting77@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-10 12:10:07 UTC

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New package vaster with initial version 0.6.0
Package: vaster
Title: Tools for Raster Grid Logic
Version: 0.6.0
Description: Provides raster grid logic, operations that describe a discretized rectangular domain and do not require access to materialized data. Grids are arrays with dimension and extent, and many operations are functions of dimension only: number of columns, number of rows, or they are a combination of the dimension and the extent the range in x and the range in y in that order. Here we provide direct access to this logic without need for connection to any materialized data or formats. Grid logic includes functions that relate the cell index to row and column, or row and column to cell index, row, column or cell index to position. These methods are described in Loudon, TV, Wheeler, JF, Andrew, KP (1980) <doi:10.1016/0098-3004(80)90015-1>, and implementations were in part derived from Hijmans R (2024) <doi:10.32614/CRAN.package.terra>.
NeedsCompilation: yes
Encoding: UTF-8
URL: https://github.com/hypertidy/vaster, https://hypertidy.github.io/vaster/
BugReports: https://github.com/hypertidy/vaster/issues
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
License: MIT + file LICENSE
Packaged: 2026-03-05 22:29:51 UTC; mdsumner
Author: Michael Sumner [aut, cre] , Robert Hijmans [ctb]
Maintainer: Michael Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-10 11:50:02 UTC

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New package ROOT with initial version 0.1.1
Package: ROOT
Title: Rashomon Set of Optimal Trees
Version: 0.1.1
Description: Implements a general framework for globally optimizing user-specified objective functionals over interpretable binary weight functions represented as sparse decision trees, called ROOT (Rashomon Set of Optimal Trees). It searches over candidate trees to construct a Rashomon set of near-optimal solutions and derives a summary tree highlighting stable patterns in the optimized weights. ROOT includes a built-in generalizability mode for identifying subgroups in trial settings for transportability analyses (Parikh et al. (2025) <doi:10.1080/01621459.2025.2495319>).
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: mlbench, testthat (>= 3.0.0), knitr, rmarkdown, ragg
Imports: MASS, rpart, gbm, stats, withr, rpart.plot
URL: https://github.com/peterliu599/ROOT
BugReports: https://github.com/peterliu599/ROOT/issues
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-05 19:04:35 UTC; yh785
Author: Yiren Hou [aut] , Peter Liu [aut, cre] , Sean McGrath [aut] , Harsh Parikh [aut]
Maintainer: Peter Liu <bliu68@jh.edu>
Repository: CRAN
Date/Publication: 2026-03-10 11:40:12 UTC

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New package readaec with initial version 0.1.1
Package: readaec
Title: Access Australian Electoral Commission Data
Version: 0.1.1
Description: Provides clean, tidy access to Australian Electoral Commission (AEC) federal election data. Includes results for the House of Representatives and Senate from 2007 onwards, at both division and polling place level. Data is downloaded directly from the AEC <https://results.aec.gov.au> on first use and cached locally for subsequent calls.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-AU
Imports: httr2, readr, dplyr, cli, rappdirs, glue
Suggests: ggplot2, purrr, tidyr, sf, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/charlescoverdale/readaec
BugReports: https://github.com/charlescoverdale/readaec/issues
NeedsCompilation: no
Packaged: 2026-03-05 20:30:32 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-10 11:40:02 UTC

More information about readaec at CRAN
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New package lucidr with initial version 0.1.0
Package: lucidr
Title: 'Lucide' Icons for 'R'
Version: 0.1.0
Description: A lightweight wrapper for the 'Lucide' icon library <https://lucide.dev>. Embed beautiful and consistent 'SVG' icons inline in any 'R' web application.
License: MIT + file LICENSE
URL: https://github.com/hyperverse-r/lucidr
BugReports: https://github.com/hyperverse-r/lucidr/issues
Depends: R (>= 3.5)
Imports: htmltools
Suggests: htmxr, plumber2, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-05 17:39:36 UTC; arthur
Author: Arthur Breant [aut, cre]
Maintainer: Arthur Breant <arthur@thinkr.fr>
Repository: CRAN
Date/Publication: 2026-03-10 11:30:02 UTC

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New package comexr with initial version 0.2.0
Package: comexr
Title: Client for the Brazilian Foreign Trade Statistics API ('ComexStat')
Version: 0.2.0
Description: Interface to the 'ComexStat' API <https://comexstat.mdic.gov.br/> from the Brazilian Ministry of Development, Industry, Trade and Services (MDIC). Provides access to detailed export and import data, including general trade statistics (1997-present), city-level data, historical data (1989-1996), and auxiliary tables with product codes (NCM - Nomenclatura Comum do Mercosul, NBM - Nomenclatura Brasileira de Mercadorias, HS - Harmonized System), countries, economic classifications (CGCE - Classificacao por Grandes Categorias Economicas, SITC - Standard International Trade Classification, ISIC - International Standard Industrial Classification), and other categories. Uses only 'httr2' for HTTP requests and 'cli' for console messages.
License: MIT + file LICENSE
URL: https://strategicprojects.github.io/comexr/, https://github.com/StrategicProjects/comexr
BugReports: https://github.com/StrategicProjects/comexr/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.0.0), cli (>= 3.6.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, tibble
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-05 13:05:42 UTC; leite
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorin [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-03-10 11:20:02 UTC

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New package bmco with initial version 0.1.0
Package: bmco
Title: Bayesian Analysis for Multivariate Categorical Outcomes
Version: 0.1.0
Description: Provides Bayesian methods for comparing groups on multiple binary outcomes. Includes basic tests using multivariate Bernoulli distributions, subgroup analysis via generalized linear models, and multilevel models for clustered data. For statistical underpinnings, see Kavelaars, Mulder, and Kaptein (2020) <doi:10.1177/0962280220922256>, Kavelaars, Mulder, and Kaptein (2024) <doi:10.1080/00273171.2024.2337340>, and Kavelaars, Mulder, and Kaptein (2023) <doi:10.1186/s12874-023-02034-z>. An interactive shiny app to perform sample size computations is available.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: TRUE
LazyDataCompression: xz
Imports: abind, coda, MCMCpack, msm, pgdraw, tcltk, Rdpack, stats
Suggests: knitr, rmarkdown, testthat, RefManageR
VignetteBuilder: knitr
URL: https://github.com/XynthiaKavelaars/bmco, https://xynthia-kavelaars.shinyapps.io/bmco-pwr/
BugReports: https://github.com/XynthiaKavelaars/bmco/issues
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-03-05 14:51:38 UTC; xk1
Author: Xynthia Kavelaars [aut, cre] , Joris Mulder [ths] , Maurits Kaptein [ths] , Dutch Research Council [fnd]
Maintainer: Xynthia Kavelaars <xynthia.kavelaars@ou.nl>
Repository: CRAN
Date/Publication: 2026-03-10 11:30:07 UTC

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Mon, 09 Mar 2026

New package pep725 with initial version 1.0.0
Package: pep725
Title: Pan-European Phenological Data Analysis
Version: 1.0.0
Description: Provides a framework for quality-aware analysis of ground-based phenological data from the PEP725 Pan-European Phenology Database (Templ et al. (2018) <doi:10.1007/s00484-018-1512-8>; Templ et al. (2026) <doi:10.1111/nph.70869>) and similar observation networks. Implements station-level data quality grading, outlier detection, phenological normals (climate baselines), anomaly detection, elevation and latitude gradient estimation with robust regression, spatial synchrony quantification, partial least squares (PLS) regression for identifying temperature-sensitive periods, and sequential Mann-Kendall trend analysis. Supports data import from PEP725 files, conversion of user-supplied data, and downloadable synthetic datasets for teaching without barriers of registration. All analysis outputs provide 'print', 'summary', and 'plot' methods. Interactive spatial visualization is available via 'leaflet'.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1), data.table, ggplot2
Imports: dplyr, mgcv, methods, patchwork, purrr, robustbase, stats, tibble, tidyr, tidyselect, utils, rnaturalearth, sf
Suggests: ggmap, knitr, leaflet, miniUI, nlme, quantreg, rmarkdown, rnaturalearthdata, pls, shiny, sp, testthat (>= 3.0.0)
VignetteBuilder: knitr
BugReports: https://github.com/matthias-da/pep725/issues
URL: https://github.com/matthias-da/pep725
NeedsCompilation: no
Packaged: 2026-03-04 16:31:19 UTC; matthias
Author: Matthias Templ [aut, cre] , Barbara Templ [aut]
Maintainer: Matthias Templ <matthias.templ@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-09 17:10:02 UTC

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New package EstHTSeed with initial version 0.1.0
Package: EstHTSeed
Title: Hydro Time Analysis of Seed Germination
Version: 0.1.0
Description: Dry seed germinates by imbibing water from soil where the physiological process of germination starts after sufficient water has been imbibed by the seed. The germination time of the seed is inversely proportion to the difference between soil water potential and the base seed water potential which is described by hydro time model (Bradford, 2002 <https://www.jstor.org/stable/4046371>). The parameters of the model like speed of germination, stress tolerance, uniformity of germination are unknown fixed values (Ghosh et al., 2026 <doi:10.1111/aab.70041>) which are to be estimated using statistical regression model where the validity of the adopted statistical model has been established theoretically. The package will help to estimate the tuning parameter for proportion of viable seeds along with standard error and p- values for inference.
Author: Dr. Himadri Ghosh [aut, cre], Dr. Debopam Rakshit [aut], Dr. Md Yeasin [aut], Mr. Saikath Das [aut]
Maintainer: Dr. Himadri Ghosh <hghosh@gmail.com>
Imports: stats, dplyr, ggplot2, tidyr
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-05 11:50:08 UTC; Debopam
Repository: CRAN
Date/Publication: 2026-03-09 17:10:12 UTC

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New package rrobot with initial version 0.1.3
Package: rrobot
Title: Robust Outlier Detection for Diverse Distributions
Version: 0.1.3
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>
Description: Provides robust outlier detection techniques for identifying anomalies in multivariate data, with a focus on methods that remain effective under non-Gaussian distributions. For more details see Saluja, Parlak, and Mejia (2026+) <doi:10.48550/arXiv.2505.11806>.
License: GPL-3
URL: https://github.com/mandymejia/rrobot
BugReports: https://github.com/mandymejia/rrobot/issues
Depends: R (>= 3.6.0)
Imports: MASS, stats, cellWise, expm, robustbase, gamlss, imputeTS, isotree, ggplot2, tidyr, reshape2, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-04 21:08:12 UTC; ddpham
Author: Amanda Mejia [aut, cre], Damon Pham [ctb] , Saranjeet Singh Saluja [ctb], Fatma Parlak [ctb], Zeshawn Zahid [ctb]
Repository: CRAN
Date/Publication: 2026-03-09 16:30:02 UTC

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New package rformat with initial version 0.1.0
Package: rformat
Title: Base R Code Formatter
Version: 0.1.0
Description: A minimal R code formatter following base R style conventions. Formats R code with consistent spacing, indentation, and structure.
License: GPL-3
URL: https://github.com/cornball-ai/rformat
BugReports: https://github.com/cornball-ai/rformat/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp
LinkingTo: Rcpp
Suggests: tinytest, simplermarkdown
VignetteBuilder: simplermarkdown
NeedsCompilation: yes
Packaged: 2026-03-05 02:46:29 UTC; troy
Author: Troy Hernandez [aut, cre] , Dirk Eddelbuettel [ctb]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-03-09 16:30:09 UTC

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New package fozziejoin with initial version 0.0.13
Package: fozziejoin
Title: Utilities for Joining Dataframes with Inexact Matching
Version: 0.0.13
Description: Provides functions for joining data frames based on inexact criteria, including string distance, Manhattan distance, Euclidean distance, and interval overlap. This API is designed as a modern, performance-oriented alternative to the 'fuzzyjoin' package (Robinson 2026) <doi:10.32614/CRAN.package.fuzzyjoin>. String distance functions utilizing 'q-grams' are adapted with permission from the 'textdistance' 'Rust' crate (Orsinium 2024) <https://docs.rs/textdistance/latest/textdistance/>. Other string distance calculations rely on the 'rapidfuzz' 'Rust' crate (Bachmann 2023) <https://docs.rs/rapidfuzz/0.5.0/rapidfuzz/>. Interval joins are backed by a Adelson-Velsky and Landis tree as implemented by the 'interavl' 'Rust' crate <https://docs.rs/interavl/0.5.0/interavl/>.
License: MIT + file LICENSE
Depends: R (>= 4.2)
Imports: stats, tibble, utils
Suggests: babynames, dplyr, fuzzyjoin, knitr, microbenchmark, qdapDictionaries, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
URL: https://github.com/fozzieverse/fozziejoin
BugReports: https://github.com/fozzieverse/fozziejoin/issues
SystemRequirements: Cargo (Rust's package manager), rustc, xz
NeedsCompilation: yes
Packaged: 2026-03-04 23:50:01 UTC; jon
Author: Jon Downs [aut, cre], The authors of the dependency Rust crates [ctb, cph]
Maintainer: Jon Downs <jon@jondowns.net>
Repository: CRAN
Date/Publication: 2026-03-09 16:20:02 UTC

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New package ROBOSRMSMOTE with initial version 1.0.0
Package: ROBOSRMSMOTE
Title: Robust Oversampling with RM-SMOTE for Imbalanced Classification
Version: 1.0.0
Date: 2026-03-04
Description: Provides the ROBOSRMSMOTE (Robust Oversampling with RM-SMOTE) framework for imbalanced classification tasks. This package extends Mahalanobis distance-based oversampling techniques by integrating robust covariance estimators to better handle outliers and complex data distributions. The implemented methodology builds upon and significantly expands the RM-SMOTE algorithm originally proposed by Taban et al. (2025) <doi:10.1007/s10260-025-00819-8>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: rrcov (>= 1.7.0), meanShiftR (>= 0.56), stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-03-04 17:25:24 UTC; root
Author: Emre Dunder [aut], Mehmet Ali Cengiz [aut], Zainab Subhi Mahmood Hawrami [aut, cre], Abdulmohsen Alharthi [aut]
Maintainer: Zainab Subhi Mahmood Hawrami <zaianbsubhi@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-09 11:20:08 UTC

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New package restrictR with initial version 0.1.0
Package: restrictR
Title: Composable Runtime Contracts for R
Version: 0.1.0
Description: Build reusable validators from small building blocks using the base pipe operator. Define runtime contracts once with 'restrict()' and enforce them anywhere in code. Validators compose naturally, support dependent rules via formulas, and produce clear, path-aware error messages. No DSL, no operator overloading, just idiomatic R.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
URL: https://gillescolling.com/restrictR/, https://github.com/gcol33/restrictR
BugReports: https://github.com/gcol33/restrictR/issues
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, svglite, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-04 15:39:24 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-09 11:20:02 UTC

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New package cdnbcr with initial version 1.1.1
Package: cdnbcr
Title: Correlated Destructive Negative Binomial Cure Rate Model
Version: 1.1.1
Maintainer: Rodrigo M. R. de Medeiros <rodrigo.matheus@ufrn.br>
Description: Provides tools for modeling time-to-event data with a cure fraction under correlated destructive negative binomial cure rate models. The models assume multiple latent competing causes with possible dependence and allow for elimination (inactivation) of some initial causes. Estimation is performed via an Expectation-Maximization algorithm, and diagnostic tools based on Cox-Snell residuals are provided.
Encoding: UTF-8
LazyData: true
URL: https://github.com/rdmatheus/cdnbcr
BugReports: https://github.com/rdmatheus/cdnbcr/issues
Suggests: survival, testthat (>= 3.0.0)
Imports: Formula (>= 1.2.4), pracma (>= 2.3.3)
Depends: R (>= 3.5)
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2026-03-04 13:19:07 UTC; rodri
Author: Rodrigo M. R. de Medeiros [aut, cre, cph] , Diego Gallardo [aut]
Repository: CRAN
Date/Publication: 2026-03-09 11:10:02 UTC

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New package BEMPdata with initial version 0.2.1
Package: BEMPdata
Title: Access the Bangladesh Environmental Mobility Panel Dataset
Version: 0.2.1
Description: Provides functions to download and work with the Bangladesh Environmental Mobility Panel (BEMP), a household panel survey tracing the impacts of riverbank erosion and flooding on (im)mobility, socio-economic outcomes, and political attitudes along the Jamuna River in Bangladesh (2021-2024). Wave datasets (20 files across 14 survey rounds) are hosted on Zenodo (<https://zenodo.org/records/18229498>) and downloaded on demand with local caching. Bundled data include a merged cross-wave codebook and wave metadata.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: utils, tools, readr, haven, shiny
Suggests: bslib, DT, ggplot2, dplyr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/janfreihardt/BEMPdata
BugReports: https://github.com/janfreihardt/BEMPdata/issues
NeedsCompilation: no
Packaged: 2026-03-04 12:30:59 UTC; fjan
Author: Jan Freihardt [aut, cre]
Maintainer: Jan Freihardt <fjan@ethz.ch>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-03-09 11:10:08 UTC

More information about BEMPdata at CRAN
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