CRANberries

Sat, 12 Sep 2026

New package qpost with initial version 1.0.0
Package: qpost
Title: Create a 'Quarto' Blog Post
Version: 1.0.0
Description: Provides an interactive 'RStudio' dialog for creating 'Quarto' blog posts with correctly structured YAML front matter. The dialog collects title, author, date, categories, and other metadata, then scaffolds the post directory, creates the 'index.qmd' file, and optionally copies an image. A companion function appends COinS (ContextObjects in Spans) metadata to posts for automatic bibliographic import into reference managers such as 'Zotero'.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
URL: https://github.com/petzi53/qpost, https://www.peter-baumgartner.net/qpost/
BugReports: https://github.com/petzi53/qpost/issues
Imports: fs, glue, here, htmltools, lubridate, miniUI, purrr, readr, rlang, rstudioapi, shiny, shinyFeedback, stringi, stringr, urltools, yesno, yaml
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-03 15:33:56 UTC; petzi
Author: Peter Baumgartner [aut, cre, cph]
Maintainer: Peter Baumgartner <petzi53@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 15:20:02 UTC

More information about qpost at CRAN
Permanent link

New package chestR with initial version 0.1.0
Package: chestR
Title: Kernel-Weighted Cox Regression for Treatment Effect Heterogeneity
Version: 0.1.0
Description: Explores treatment effect heterogeneity and candidate predictive biomarkers by re-fitting weighted Cox proportional hazards models on a biomarker grid. Kernel weights centred at each grid point produce local coefficient estimates that can be visualised across biomarker space. Builds on ideas related to graphical Cox treatment-covariate interaction methods [see Bonetti and Gelber (2004) <doi:10.1093/biostatistics/kxh002> and local partial-likelihood approaches Fan, Lin and Zhou (2006) <doi:10.1214/009053605000000796>].
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Imports: survival, ggplot2, scales
Suggests: knitr, rmarkdown, mvtnorm, testthat (>= 3.0.0)
Language: en-GB
NeedsCompilation: no
Packaged: 2026-09-03 15:15:40 UTC; richardjackson
Author: Richard Jackson [aut, cre], Caroline Jeffery [aut]
Maintainer: Richard Jackson <richj23@liverpool.ac.uk>
Repository: CRAN
Date/Publication: 2026-09-12 15:10:02 UTC

More information about chestR at CRAN
Permanent link

New package USPopulationSampler with initial version 0.1.1
Package: USPopulationSampler
Title: Population-Weighted Sampling of Geographic Locations in the United States
Version: 0.1.1
Description: Generate geospatial locations within census block groups (BG; the smallest geographic unit for which population counts are available) within target counties, states, or across the entirety of the U.S. randomly selected according to population counts by using the Census Bureau reference data and optionally allow users to conduct temporal assignments on sampled locations using Covid-19 data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: curl, parallel, sf, arrow, data.table, utils, stats
Suggests: dplyr, usmap, ggplot2, tigris, patchwork, lubridate, lwgeom, testthat (>= 3.0.0), spelling
URL: https://github.com/Techavoan/USPopulationSampler
BugReports: https://github.com/Techavoan/USPopulationSampler/issues
Depends: R (>= 3.5)
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-03 11:57:27 UTC; techa
Author: Rithy Techavoan Yean [aut, cre, cph], Andrew Holbrook [aut, cph], Jasen Zhang [ctb]
Maintainer: Rithy Techavoan Yean <techavoan@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 14:20:16 UTC

More information about USPopulationSampler at CRAN
Permanent link

New package spconform with initial version 0.1.0
Package: spconform
Title: Conformal Prediction for Spatially and Spatio-Temporally Dependent Data
Version: 0.1.0
Description: Provides distribution-free, model-agnostic prediction intervals for spatially and spatio-temporally dependent data using localized conformal calibration. Implements locally weighted split conformal prediction for geostatistical (point-referenced) data based on spatial-distance kernels, and a neighbourhood-weighted conformal procedure for areal (lattice) data based on graph adjacency structures. Relaxes the standard exchangeability assumption using spatial proximity, following the localized conformal framework of Mao, Martin and Reich (2024) <doi:10.1080/01621459.2022.2147531>. Includes comprehensive spatial diagnostic tools to audit empirical coverage, conditional spatial strata, and boundary proximity effects.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: graphics, grDevices, stats
Suggests: bmstdr, knitr, mgcv, ranger, rmarkdown, sp, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/amjed-droid/spconform, https://amjed-droid.github.io/spconform/, https://doi.org/10.5281/zenodo.21862024
BugReports: https://github.com/amjed-droid/spconform/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-03 14:57:20 UTC; intel
Author: Ahmed Sattar Jabbar [aut, cre]
Maintainer: Ahmed Sattar Jabbar <ahmed.state.me@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 14:40:02 UTC

More information about spconform at CRAN
Permanent link

New package soReta with initial version 0.1.0
Package: soReta
Title: Ready-to-Analyze Datasets from Camera Trap Data
Version: 0.1.0
Description: Functions to build datasets ready for statistical analysis from camera trap data: GLMM/GAMM on counts/RAI at various temporal levels, group size, occupancy, kernel/circular analysis of activity patterns, temporal interactions between species, hierarchical diel models, and classic capture-mark-recapture. Input data must be formatted in the style produced by 'camtrapR', the standard convention in the field.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, lubridate, tidyr
Suggests: camtrapR, GLMMadaptive, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
URL: https://github.com/OrlandoTomassini/soReta
BugReports: https://github.com/OrlandoTomassini/soReta/issues
NeedsCompilation: no
Packaged: 2026-09-03 09:47:18 UTC; orlan
Author: Orlando Tomassini [aut, cre]
Maintainer: Orlando Tomassini <orlando.tomassini@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 14:10:03 UTC

More information about soReta at CRAN
Permanent link

New package rzig with initial version 0.2.3
Package: rzig
Title: Safe Zig Bindings
Version: 0.2.3
Description: Scaffolds packages backed by Zig and generates a safe native boundary for plain Zig functions. The generated integration converts objects at the language boundary, registers native routines, propagates errors, and compiles across platforms without requiring C++.
License: MIT + file LICENSE
URL: https://github.com/MarekDejaUJ/rzig
BugReports: https://github.com/MarekDejaUJ/rzig/issues
Encoding: UTF-8
SystemRequirements: Zig (>= 0.16.0), see https://ziglang.org/download/
NeedsCompilation: no
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2026-09-03 06:18:10 UTC; runner
Author: Marek Deja [aut, cre]
Maintainer: Marek Deja <marek.deja@uj.edu.pl>
Repository: CRAN
Date/Publication: 2026-09-12 14:40:08 UTC

More information about rzig at CRAN
Permanent link

New package rdatagouv with initial version 0.1.0
Package: rdatagouv
Title: Tools to Download and Explore Datasets from Data.gouv.fr
Version: 0.1.0
Description: Provides a client for the public API of data.gouv.fr, the French government's open data platform. It helps you find a dataset that matches your interests, judge whether it is usable, download it, and re-fetch the exact same table later in a reproducible way. You can search the catalog and filter by producer or theme (dg_find_datasets(), dg_find_organization(), dg_find_topics()), pull a dataset's tabular resources into tidy tibbles (dg_pull_dataset()), inspect the documented variables of its data schema (dg_schema()), and compute summary metrics such as size, number of columns and missing-value rate (dg_summary(), dg_summarise()). Each returned table carries a stable identifier (dg_table_id(), dg_refetch()) so it can be re-fetched later. Requests are built on top of 'httr2'.
License: MIT + file LICENSE
URL: https://astamm.github.io/rdatagouv/, https://github.com/astamm/rdatagouv
BugReports: https://github.com/astamm/rdatagouv/issues
Encoding: UTF-8
VignetteBuilder: quarto
Imports: cli, httr2, jsonlite, nanoparquet, readxl, tibble, vroom
Suggests: dplyr, gt, knitr, pkgdown, quarto, testthat (>= 3.0.0), withr, writexl
NeedsCompilation: no
Packaged: 2026-09-03 11:05:38 UTC; stamm-a
Author: Magali Berland [aut], Pierre Gloaguen [aut], Arthur Leroy [aut], Mahendra Mariadassou [aut], Cedric Midoux [aut], Jean-Francois Rey [aut], Aymeric Stamm [aut, cre]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>
Repository: CRAN
Date/Publication: 2026-09-12 14:20:02 UTC

More information about rdatagouv at CRAN
Permanent link

New package ProMetaR with initial version 1.0.0
Package: ProMetaR
Title: Meta-Analysis of Proportions and Prevalence
Version: 1.0.0
Description: Tools for meta-analysis of proportions and prevalence from studies reporting event counts and sample sizes. Provides transformed and untransformed inverse-variance models, random-effects estimation, heterogeneity statistics, prediction intervals, subgroup analysis, meta-regression, leave-one-out sensitivity analysis, influence diagnostics, forest plots, funnel plots, and an optional binomial generalized linear mixed model interface. The package is designed for epidemiological, veterinary, medical, and One Health applications, including antimicrobial resistance prevalence studies.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), metafor, knitr, rmarkdown
URL: https://github.com/vinodhpmd/ProMetaR
BugReports: https://github.com/vinodhpmd/ProMetaR/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-03 09:26:33 UTC; m
Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 14:10:33 UTC

More information about ProMetaR at CRAN
Permanent link

New package OptOR with initial version 0.1.0
Package: OptOR
Title: Optimal Hyperrectangular Operating Regions
Version: 0.1.0
Language: en-US
Description: Computes optimal axis-aligned hyperrectangles for discrete binary arrays and continuous regions defined by quadratic response functions. The package provides methods for discrete optimization, grid classification, continuous refinement, and exact global extrema calculations. Applications include the identification of practical operating regions within multivariate design spaces, including pharmaceutical development settings related to ICH Q8.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: yes
Imports: stats
Suggests: ggplot2, grid, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Packaged: 2026-09-03 09:33:33 UTC; chris
Author: Christian Palmes [aut, cre], Bayer AG [cph], Raluca Ilinca Schmitt [ctb], Adrian Funke [ctb]
Maintainer: Christian Palmes <christian.palmes@bayer.com>
Repository: CRAN
Date/Publication: 2026-09-12 14:10:39 UTC

More information about OptOR at CRAN
Permanent link

New package normanR with initial version 1.8.79
Package: normanR
Title: Client for the 'Norman Network Database System' REST API
Version: 1.8.79
Description: Offers a programmatic interface to the 'NORMAN Network' REST API, facilitating the systematic query, retrieval, and parsing of environmental chemistry data, emerging substance registries, and mass spectrometry workflows. All data structures are tailored to support downstream environmental data analysis and ecotoxicological modelling.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2, jsonlite
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/urniaz/normanR
BugReports: https://github.com/urniaz/normanR/issues
NeedsCompilation: no
Packaged: 2026-09-03 21:48:08 UTC; urniaz
Author: Rafal Urniaz [aut, cre]
Maintainer: Rafal Urniaz <rafal.urniaz@cantab.net>
Repository: CRAN
Date/Publication: 2026-09-12 15:00:02 UTC

More information about normanR at CRAN
Permanent link

New package MatchAlign with initial version 0.1.2
Package: MatchAlign
Title: Parsing GFA and GAF Alignment Files
Version: 0.1.2
Maintainer: Camille R. Mazurek <camillemazurek23@gmail.com>
Description: Provides tools for extracting segment paths from Graphical Fragment Assembly ('GFA') and Graph Alignment Format ('GAF') files. parse_paths_gfa() reads P (path) and W (walk) records and returns a named list of segment identifiers for each accession. parse_paths_gaf() parses the path string from each alignment and returns a named list of segments traversed by each query. parse_segment_lengths_gfa() reads S records and returns a named list of segment lengths keyed by segment identifier. These tools are intended to simplify downstream interpretation and analysis of pangenome graphs.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
URL: https://github.com/cromazurek/MatchAlign
BugReports: https://github.com/cromazurek/MatchAlign/issues
NeedsCompilation: no
Packaged: 2026-09-03 21:10:48 UTC; camillemazurek2025
Author: Camille R. Mazurek [aut, cre], Michael J. Tisza [ctb]
Repository: CRAN
Date/Publication: 2026-09-12 15:00:12 UTC

More information about MatchAlign at CRAN
Permanent link

New package marcxmlr with initial version 0.1.0
Package: marcxmlr
Title: Faithful and Scalable MARCXML Parsing
Version: 0.1.0
Description: Parses Machine-Readable Cataloging ('MARC 21') XML <https://www.loc.gov/standards/marcxml/> into a canonical tidy long representation while preserving leaders, control fields, data fields, indicators, repeated fields, repeated subfields, and source order. Provides an in-memory reader for manageable catalogues and a bounded-memory converter that writes larger collections as 'Parquet' datasets, with optional local parallel processing.
License: MIT + file LICENSE
URL: https://github.com/larry77/marcxmlr
BugReports: https://github.com/larry77/marcxmlr/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: purrr (>= 1.0.0), stats, tibble (>= 3.0.0), xml2 (>= 1.3.0)
Suggests: arrow, dplyr, future (>= 1.69.0), future.mirai, futurize, furrr, mori, testthat (>= 3.0.0), XML
NeedsCompilation: no
Packaged: 2026-09-03 12:52:42 UTC; lorenzo
Author: Lorenzo Isella [aut, cre]
Maintainer: Lorenzo Isella <lorenzo.isella@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 14:30:02 UTC

More information about marcxmlr at CRAN
Permanent link

New package krt with initial version 0.1.0
Package: krt
Title: Author, Validate, and Export Key Resources Tables
Version: 0.1.0
Description: A toolkit for creating, importing, validating, enriching, rendering, and depositing Key Resources Tables (KRTs). A KRT lists the resources used and generated in a study (antibodies, cell lines, organisms, chemicals, software, datasets, protocols, and more), each paired with a persistent identifier such as a Research Resource Identifier (RRID), a Digital Object Identifier (DOI), a repository accession, or a catalog number, so that resources are unambiguously identifiable and machine-actionable. The package models resources as typed, validated records around a neutral core schema and maps them to journal or funder output profiles, following the FAIR (Findable, Accessible, Interoperable, Reusable) principles of Wilkinson et al. (2016) <doi:10.1038/sdata.2016.18>. It normalizes and optionally resolves identifiers against public registries, extracts resources from manuscripts, and renders tables both in the STAR (Structured, Transparent, Accessible Reporting) Methods style used by Cel [...truncated...]
License: GPL-3
URL: https://github.com/choxos/krt, https://choxos.github.io/krt/
BugReports: https://github.com/choxos/krt/issues
Depends: R (>= 4.1)
Imports: digest, httr2, jsonlite, methods, stats, tools, utils, xml2, yaml
Suggests: bslib, covr, DT, knitr, officer, openxlsx, pdftools, rdflib, rmarkdown, S4Vectors, shiny, spelling, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-03 11:34:08 UTC; choxos
Author: Ahmad Sofi-Mahmudi [aut, cre] , Aligning Science Across Parkinson's [cph] from which the bundled ASAP profile is derived. ASAP does not endorse this package.)
Maintainer: Ahmad Sofi-Mahmudi <a.sofimahmudi@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 14:20:08 UTC

More information about krt at CRAN
Permanent link

New package geosmooth with initial version 0.1.0
Package: geosmooth
Title: Geometric Smoothing and Conditional Expectation Methods
Version: 0.1.0
Description: Provides geometric methods for nonparametric regression and density estimation on data represented as coordinate matrices or weighted graphs. Methods include local polynomial smoothing, model-averaged local polynomial smoothing, local polynomial lifting trend filtering, synchronized local polynomial lifting trend filtering, graph low-pass filtering, and Hessian-energy regression. Methodological references include Gajer and Ravel (2025) "Adaptive Geometric Regression for High-Dimensional Structured Data" <doi:10.48550/arXiv.2511.03817>, Fan and Gijbels (1996, ISBN:9780412983214), Wang et al. (2016) "Trend Filtering on Graphs" <https://www.jmlr.org/papers/v17/15-147.html>, and Kim et al. (2009) "Semi-Supervised Regression Using Hessian Energy" <https://papers.nips.cc/paper/3741-semi-supervised-regression-using-hessian-energy-with-an-application-to-semi-supervised-dimensionality-reduction>.
Copyright: file inst/COPYRIGHTS
License: GPL (>= 3)
URL: https://github.com/pgajer/geosmooth
BugReports: https://github.com/pgajer/geosmooth/issues
Encoding: UTF-8
Language: en-US
SystemRequirements: GNU make
LinkingTo: Rcpp
Depends: R (>= 3.5.0)
Imports: dgraphs (>= 0.1.0), digest, jsonlite, MASS, Matrix, methods, Rcpp, stats, utils
Suggests: genlasso, grip, knitr, rmarkdown, testthat (>= 3.0.0), waldo
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-08-31 21:42:50 UTC; pgajer
Author: Pawel Gajer [aut, cre], Gael Guennebaud [ctb] , Benoit Jacob [ctb] , Authors of Eigen [cph] , Yixuan Qiu [ctb, cph] , Contributors to Spectra [cph] , Sunil Arya [ctb, cph] , David M. Mount [ctb, cph] , University of Maryland [cph]
Maintainer: Pawel Gajer <pgajer@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 14:10:10 UTC

More information about geosmooth at CRAN
Permanent link

New package foresty with initial version 0.1.0
Package: foresty
Title: Forest Plots and Subgroup Effects from Fitted Regression Models
Version: 0.1.0
Description: Draws forest plots of exposure effects from fitted regression models. Name an exposure and 'foresty' plots its effect. Name an effect modifier as well and it refits the model with the interaction term, estimates the exposure effect within each level of the modifier as a linear combination of the coefficients, and reports the joint interaction test beside those estimates. It takes one exposure and one modifier at a time, so the interaction is always a two-way one. Rows of the plot and of the table beside it share one scale, in a layout that can follow a journal's house style. The same results go to a self-contained HTML page holding the subgroup estimates, the joint test and the coefficient table. The 'car' package computes the linear combinations and their tests. Models fitted by stats::glm(), stats::lm(), the 'survival' package, the 'lme4' package and the 'geepack' package are supported, as is any fit supplying coef() and vcov(). Ordinal outcomes are supported through the 'MASS' packa [...truncated...]
License: GPL-3
URL: https://github.com/AkiShiroshita/foresty, https://akishiroshita.github.io/foresty/
BugReports: https://github.com/AkiShiroshita/foresty/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1)
Imports: car (>= 3.1.0), checkmate (>= 2.1.0), ggplot2 (>= 3.4.0), grDevices, grid, patchwork (>= 1.1.0), scales (>= 1.2.0), stats, utils
Suggests: base64enc, broom (>= 1.0.0), bslib (>= 0.5.0), data.table, geepack, gt (>= 0.9.0), Hmisc, knitr, lme4, MASS, nnet, ragg, rmarkdown, rms, sandwich (>= 3.0.0), shiny (>= 1.7.0), survival (>= 3.2.0), svglite, tibble, testthat (>= 3.0.0), zip
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-03 16:56:17 UTC; shiroa1
Author: Akihiro Shiroshita [aut, cre, cph], Yuki Kataoka [aut]
Maintainer: Akihiro Shiroshita <akihirokun8@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 14:40:22 UTC

More information about foresty at CRAN
Permanent link

New package fdic with initial version 0.1.2
Package: fdic
Title: Interface to 'BankFind Suite API'
Version: 0.1.2
Description: Provides a convenient interface to the 'BankFind Suite API' made available by the Federal Deposit Insurance Corporation (FDIC). Contains functions to retrieve data related to qualitative institution information, branch and office locations, Summary of Deposit reporting, financial information, failed financial institutions, structural change events, historic aggregate industry data, and demographics information. See <https://api.fdic.gov/banks/docs/> for the official 'BankFind Suite API' documentation published by the FDIC.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
Depends: R (>= 4.1)
LazyData: true
Imports: cli, httr2, tibble
URL: https://github.com/ketchbrookanalytics/fdic, https://ketchbrookanalytics.github.io/fdic/
BugReports: https://github.com/ketchbrookanalytics/fdic/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-03 19:46:41 UTC; root
Author: Dylan Hughes [aut, cre], Michael Thomas [aut], Ketchbrook Analytics [cph, fnd]
Maintainer: Dylan Hughes <dhughes@ketchbrookanalytics.com>
Repository: CRAN
Date/Publication: 2026-09-12 14:50:02 UTC

More information about fdic at CRAN
Permanent link

New package cauchyreg with initial version 1.0
Package: cauchyreg
Title: Cauchy Regression
Version: 1.0
Date: 2026-09-03
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Compositional, glmnet, Rfast, stats
Description: Cauchy regression modelling and LASSO to perform variable selection are included in this package. Cross-validation is performed to choose the optimal value of the lambda parameter. LASSO is based on the IRLS algorithm. A relevant paper is <doi:10.1109/ICIST.2014.6920341>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-09-03 20:45:39 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-09-12 15:00:07 UTC

More information about cauchyreg at CRAN
Permanent link

New package badcontrols with initial version 1.0.1
Package: badcontrols
Title: Difference-in-Differences with Bad Controls
Version: 1.0.1
Description: Implements methods for difference-in-differences with bad controls, i.e., time-varying covariates that are affected by the treatment. Provides imputation, doubly robust, and machine learning estimators that are based on Caetano, Callaway, Payne, and Sant'Anna (2026) <doi:10.48550/arXiv.2608.03881>.
URL: https://github.com/hugosantanna/badcontrols
BugReports: https://github.com/hugosantanna/badcontrols/issues
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ptetools (>= 1.0.1), stats
Suggests: grf (>= 2.0.0), testthat (>= 3.0.0), knitr, quarto
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-09-03 18:22:11 UTC; hsantanna
Author: Carolina Caetano [aut], Brantly Callaway [aut], Stroud Payne [aut], Hugo Sant'Anna [aut, cre]
Maintainer: Hugo Sant'Anna <hsantanna@uab.edu>
Repository: CRAN
Date/Publication: 2026-09-12 14:40:30 UTC

More information about badcontrols at CRAN
Permanent link

New package AutoEDA with initial version 0.1.1
Package: AutoEDA
Title: Automatic Exploratory Data Analysis
Version: 0.1.1
Description: Automatically performs exploratory data analysis for tabular datasets, including data summaries, missing value analysis, descriptive statistics, visualizations, correlation analysis, outlier detection, and automated report generation. The package provides a streamlined workflow for rapid data exploration and produces publication-ready tables and graphics. For methodological details, see Tukey (1977, ISBN:9780201076165) and the cited methodological literature in the package documentation.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.2)
Imports: e1071, rlang, dplyr, ggplot2, tidyr, psych, factoextra, openxlsx, GGally, visdat, igraph
Suggests: knitr, mice, rmarkdown, testthat (>= 3.0.0), tibble
URL: https://github.com/vinodhpmd/AutoEDA
BugReports: https://github.com/vinodhpmd/AutoEDA/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-03 19:34:42 UTC; m
Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 14:50:15 UTC

More information about AutoEDA at CRAN
Permanent link

New package stratigraphr with initial version 0.5.0
Package: stratigraphr
Title: Archaeological Stratigraphy and Chronological Sequences
Version: 0.5.0
Description: A tidy framework for working with archaeological stratigraphy and chronology. Includes tools for reading, analysing, and visualising stratigraphic sequences (Harris matrices) as directed graphs following the definition of Dye and Buck (2015) <doi:10.1016/j.jas.2015.08.008> and an R interface to the Chronological Query Language (CQL) used in 'OxCal' by Bronk Ramsey (2009) <doi:10.1017/S0033822200033865>.
License: MIT + file LICENSE
URL: https://stratigraphr.joeroe.io, https://github.com/joeroe/stratigraphr
BugReports: https://github.com/joeroe/stratigraphr/issues
Encoding: UTF-8
LazyData: true
Imports: cli, Rdpack, checkmate, glue, igraph (>= 0.3.0), pillar, purrr, relations, rlang, sets, stringr, tidygraph, utils, vctrs, vroom,
Suggests: covr, dplyr, ggraph, knitr, oxcAAR, readr, readxl, rmarkdown, spelling, testthat, tibble
VignetteBuilder: knitr
Depends: R (>= 4.1)
Language: en-GB
NeedsCompilation: no
Packaged: 2026-09-03 08:21:05 UTC; joeroe
Author: Joe Roe [aut, cre, cph]
Maintainer: Joe Roe <joe@joeroe.io>
Repository: CRAN
Date/Publication: 2026-09-12 13:50:02 UTC

More information about stratigraphr at CRAN
Permanent link

New package strategyr with initial version 0.1.7.1
Package: strategyr
Title: Execution-Oriented Strategy Workflows for Dynamic Trading Decisions
Version: 0.1.7.1
Description: Modular, execution-oriented strategy workflows that transform market features, portfolio state, and dynamic quantitative analysis into actionable signals, target positions, portfolio adjustments, and order intents. The package emphasizes path-dependent historical simulation so strategy decisions remain consistent with evolving account state, execution assumptions, and market conditions.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: data.table, stats, Rcpp
LinkingTo: Rcpp
Suggests: testthat, ggplot2, TTR, jsonlite
URL: https://github.com/OliverLDS/strategyr
BugReports: https://github.com/OliverLDS/strategyr/issues
NeedsCompilation: yes
Packaged: 2026-09-02 23:38:43 UTC; oliver
Author: Oliver Zhou [aut, cre]
Maintainer: Oliver Zhou <oliver.yxzhou@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 13:30:02 UTC

More information about strategyr at CRAN
Permanent link

New package Rfactor with initial version 0.2.0
Package: Rfactor
Title: Rainfall Erosivity Calculations from Precipitation Records
Version: 0.2.0
Description: Calculates rainfall erosivity from timestamped precipitation records. The package identifies rainfall events, calculates continuous rolling rainfall intensities, rainfall kinetic energy, and event EI30 erosivity, aggregates contributing event erosivity to monthly and yearly totals, and calculates multi-year mean monthly and annual rainfall erosivity. Storm separation, event omission criteria, intensity durations, and rainfall kinetic-energy equations are configurable. Rainfall kinetic energy can be calculated using the formulations of Brown and Foster (1987) <doi:10.13031/2013.31957>, McGregor et al. (1995) <doi:10.13031/2013.27921>, and Laws and Parsons (1943) <doi:10.1029/TR024i002p00452>.
License: GPL (>= 3)
URL: https://github.com/adrianira/Rfactor
BugReports: https://github.com/adrianira/Rfactor/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: clock, data.table
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-02 13:38:14 UTC; adrian
Author: Adrian Irașoc [aut, cre, cph]
Maintainer: Adrian Irașoc <adrian.irasoc@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 13:50:09 UTC

More information about Rfactor at CRAN
Permanent link

New package NGSToolKit with initial version 0.1.4
Package: NGSToolKit
Title: RNA-Seq Analysis and Genome Visualization 'Shiny' Platform
Version: 0.1.4
Author: Sona Charles [aut, cre], Febin T Nabeel [aut], T E Sheeja [aut]
Maintainer: Sona Charles <sonacharlesicar@gmail.com>
Description: Interactive 'Shiny' web application for comprehensive RNA-Seq data analysis, quality control, differential expression analysis with 'DESeq2', dimensionality reduction (PCA, t-SNE, UMAP), clustering, and integrated 'JBrowse 2' genome visualization. For differential expression analysis methods, see Love (2014) <doi:10.1186/s13059-014-0550-8>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: shiny (>= 1.7.0), shinydashboard (>= 0.7.0), shinyjs (>= 2.1.0), shinycssloaders (>= 1.0.0), DT (>= 0.20), ggplot2 (>= 3.3.0), DESeq2, SummarizedExperiment, uwot, Rtsne, pheatmap, reshape2, Rsamtools, tools, jsonlite, utils, stats, graphics, grDevices
Suggests: testthat (>= 3.0.0)
URL: https://github.com/bigfacilityiisr/NGS-Tool-Kit
BugReports: https://github.com/bigfacilityiisr/NGS-Tool-Kit/issues
NeedsCompilation: no
Packaged: 2026-09-03 02:43:47 UTC; Febin T Nabeel
Repository: CRAN
Date/Publication: 2026-09-12 13:40:22 UTC

More information about NGSToolKit at CRAN
Permanent link

New package MobilityDataPT with initial version 1.0
Package: MobilityDataPT
Title: Get Mobility Related Data for Portugal
Version: 1.0
Description: A collection of methods to get mobility related data for Portugal.
License: GPL
URL: https://github.com/U-Shift/MobilityDataPT, https://u-shift.github.io/MobilityDataPT/
Depends: R (>= 4.1.0)
Imports: dplyr, tidyselect, httr, jsonlite, sf
Suggests: curl, spelling, testthat, withr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-02 15:20:25 UTC; goncalo
Author: Goncalo F. Matos [aut, cre]
Maintainer: Goncalo F. Matos <goncaloafmatos@tecnico.pt>
Repository: CRAN
Date/Publication: 2026-09-12 13:20:02 UTC

More information about MobilityDataPT at CRAN
Permanent link

New package metaGLMM with initial version 1.0.0
Package: metaGLMM
Title: Aggregate-Data Meta-Analysis with Generalized Linear Mixed Models
Version: 1.0.0
Author: Keisuke Hanada [aut, cre]
Maintainer: Keisuke Hanada <keisuke.hanada.87@gmail.com>
Description: Extends traditional random-effects meta-analysis by embedding it within a generalized linear mixed-effects model framework. The package supports covariate adjustment and non-normal responses using aggregate data, and provides likelihood-based inference with computationally efficient likelihood evaluation. The underlying methodology is described in Hanada and Sugimoto (2026) <doi:10.1093/biomtc/ujag148>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
Imports: bbmle, fastGHQuad, graphics, methods, qrng, Rcpp, stats, utils
LinkingTo: Rcpp
LazyData: true
LazyDataCompression: xz
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/keisuke-hanada/metaGLMM
BugReports: https://github.com/keisuke-hanada/metaGLMM/issues
BuildVignettes: yes
NeedsCompilation: yes
Packaged: 2026-09-03 02:05:59 UTC; keisu
Repository: CRAN
Date/Publication: 2026-09-12 13:40:02 UTC

More information about metaGLMM at CRAN
Permanent link

New package matSPACE with initial version 0.1.0
Package: matSPACE
Title: Sparse Partial Correlation Estimation for Matrix-Variate Data
Version: 0.1.0
Description: Fits sparse partial correlation networks for matrix-variate data by extending the SPACE joint partial correlation estimation framework to a Kronecker-product covariance structure. All partial correlations are estimated simultaneously via an L1-penalized ('lasso') shooting algorithm within a single optimization framework, which preserves symmetry of the estimated network and avoids the tuning-parameter selection difficulties of separate node-wise regressions. Optional features include column reweighting, residual variance re-estimation across outer iterations, and automatic generation of a lasso penalty sequence for tuning.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, stats
URL: https://github.com/kimhyew1/matSPACE
BugReports: https://github.com/kimhyew1/matSPACE/issues
NeedsCompilation: yes
Packaged: 2026-09-03 06:37:58 UTC; User
Author: Hyewon Kim [aut, cre], Seongoh Park [aut]
Maintainer: Hyewon Kim <kimhw4126@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 13:40:09 UTC

More information about matSPACE at CRAN
Permanent link

New package LLMRpanel with initial version 0.6.1
Package: LLMRpanel
Title: Benchmarked Silicon Samples for Survey and Experiment Design
Version: 0.6.1
Description: Administers survey and experimental instruments to panels of language-model personas, with respondent-level randomization, benchmark comparison against human data, and conjoint estimation from recorded respondent-level profile assignments. Samples of language-model personas follow Argyle et al. (2023) <doi:10.1017/pan.2023.2>; the case for benchmarking them against human data is set out in Bisbee et al. (2024) <doi:10.1017/pan.2024.5>; the conjoint estimand is the average marginal component effect of Hainmueller et al. (2014) <doi:10.1093/pan/mpt024>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2)
Imports: LLMR (>= 0.8.9), tibble, rlang, cli, stats, utils
Suggests: testthat (>= 3.0.0), ggplot2, knitr, rmarkdown, shiny, bslib, DT, LLMR.shiny (>= 0.1.2)
VignetteBuilder: knitr
URL: https://github.com/asanaei/LLMRpanel, https://asanaei.github.io/LLMRpanel/
BugReports: https://github.com/asanaei/LLMRpanel/issues
NeedsCompilation: no
Packaged: 2026-09-02 01:03:27 UTC; ali
Author: Ali Sanaei [aut, cre, cph]
Maintainer: Ali Sanaei <sanaei@uchicago.edu>
Repository: CRAN
Date/Publication: 2026-09-12 13:20:08 UTC

More information about LLMRpanel at CRAN
Permanent link

New package ibist with initial version 0.1-0
Package: ibist
Title: Data and Functions for Introduction to Biostatistics with R
Version: 0.1-0
Author: Elizabeth Schifano [aut] , Jun Yan [aut, cre]
Maintainer: Jun Yan <jun.yan@uconn.edu>
Description: Provides datasets and supporting functions for the book Introduction to Biostatistics with R by Schifano and Yan (2026+), published by Taylor & Francis. The package is intended for teaching introductory biostatistics and for reproducing examples in the text.
Depends: R (>= 4.4.0)
VignetteBuilder: knitr
License: GPL (>= 3)
URL: https://github.com/ibist/ibist-R
BugReports: https://github.com/ibist/ibist-R/issues
Imports: stats, Rcpp
LinkingTo: Rcpp
Suggests: ggplot2, knitr, rlang, testthat (>= 3.0.0)
LazyData: true
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-09-02 00:41:26 UTC; junyan
Repository: CRAN
Date/Publication: 2026-09-12 13:10:02 UTC

More information about ibist at CRAN
Permanent link

New package FocusGroup with initial version 0.5.2
Package: FocusGroup
Title: Focus Group Simulation Using LLM Agents
Version: 0.5.2
Description: Moderated focus group discussions simulated with large language models. Participants carry personas built from respondent records or labeled survey files. A session runs under a specified turn-taking rule, and one turn can be experimentally manipulated to measure its effect on the next.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: R6, dplyr, tidyr, rlang, haven, withr, LLMR (>= 0.8.8)
Suggests: testthat (>= 3.0.0), ggplot2, quanteda, quanteda.textstats, topicmodels, tidytext, knitr, rmarkdown, pkgdown, shiny, bslib, DT, LLMR.shiny (>= 0.1.2)
VignetteBuilder: knitr
URL: https://github.com/asanaei/FocusGroup, https://asanaei.github.io/FocusGroup/
BugReports: https://github.com/asanaei/FocusGroup/issues
NeedsCompilation: no
Packaged: 2026-09-02 01:03:21 UTC; ali
Author: Ali Sanaei [aut, cre]
Maintainer: Ali Sanaei <sanaei@uchicago.edu>
Repository: CRAN
Date/Publication: 2026-09-12 13:20:14 UTC

More information about FocusGroup at CRAN
Permanent link

New package celliverse with initial version 0.0.2
Package: celliverse
Title: An Ecosystem for Exploring the Universe of Single-Cell Data
Language: en-US
Version: 0.0.2
Description: Contains functions for single-cell RNA sequencing data analysis. It provides core functionalities for clustering cells, identifying markers for predefined clusters, performing sub-clustering of major cell populations, and discovering markers within custom-selected subsets of cells. 'CelliVerse' also includes methods for analyzing cluster similarity and generating intuitive visualizations. Designed to be independent of library size and other sample- or cell-level confounding effects, 'CelliVerse' ensures reliable and interpretable results across a wide range of datasets. Fred Viole and David Nawrocki (2013, ISBN:1490523995). Csardi G, Nepusz T (2006). "The 'igraph' software package for complex network research." InterJournal, Complex Systems, 1695. Adopted algorithms and sources are referenced in function document.
Imports: Matrix, Seurat, SummarizedExperiment, scales, ggplot2, magrittr, igraph, cli, dplyr, data.table, stringr, tidyr, RColorBrewer, ggnewscale, patchwork, tidyselect, methods, Rcpp
LinkingTo: Rcpp, RcppEigen
Suggests: R.rsp, htmltools, knitr, rmarkdown, plumber, jsonlite, httr2, processx, later, promises, callr, httpuv, openssl, fs, svglite, zip, withr, SeuratObject, ComplexHeatmap, hdf5r, rstudioapi
Depends: R (>= 4.1.0)
URL: https://github.com/asalavaty/celliverse, https://asalavaty.github.io/celliverse/
BugReports: https://github.com/asalavaty/celliverse/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
VignetteBuilder: R.rsp
NeedsCompilation: yes
Packaged: 2026-09-03 07:49:15 UTC; salavatyadrian
Author: Adrian Salavaty [aut, cre]
Maintainer: Adrian Salavaty <abbas.salavaty@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 13:40:14 UTC

More information about celliverse at CRAN
Permanent link

New package autotest with initial version 0.2.0
Package: autotest
Title: Automatic Package Testing
Version: 0.2.0
Description: Automatic testing of R packages by tracing function calls made in examples and tests, then systematically varying the inputs to check that functions respond sensibly. The package is a development aid for authors submitting to the 'rOpenSci' statistical software review project ('rOpenSci' authors, 2021; <doi:10.5281/zenodo.5556756>).
License: GPL-3
URL: https://docs.ropensci.org/autotest/, https://github.com/ropensci-review-tools/autotest
BugReports: https://github.com/ropensci-review-tools/autotest/issues
Imports: checkmate, cli, data.table, fs, grDevices, here, magrittr, memoise, methods, pkgload, rlang, testthat, tibble, typetracer, withr
Suggests: devtools, dplyr, DT, goodpractice, knitr, rmarkdown, roxygen2, tidyr, usethis
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-09-02 12:16:34 UTC; smexus
Author: Mark Padgham [aut, cre] , Jouni Helske [ctb]
Maintainer: Mark Padgham <mark.padgham@email.com>
Repository: CRAN
Date/Publication: 2026-09-12 13:10:09 UTC

More information about autotest at CRAN
Permanent link

New package AMRsurveilR with initial version 0.1.0
Package: AMRsurveilR
Title: Antimicrobial Resistance Surveillance, Epidemiology and Risk Analysis
Version: 0.1.0
Description: Provides tools for antimicrobial resistance surveillance, epidemiological analysis, temporal trend detection, early warning detection, spatial cluster identification, and risk factor analysis. The package supports analysis of antimicrobial resistance patterns, resistance to multiple antimicrobial classes, temporal surveillance, and spatial epidemiology for applications in veterinary, medical, and One Health research. Antimicrobial resistance surveillance approaches are informed by guidelines from WHO (2023) <https://www.who.int/publications/i/item/9789240076600> and WOAH (2024) <https://www.woah.org/fileadmin/Home/eng/Health_standards/tahc/2024/en_chapitre_antibio_harmonisation.htm>. Statistical methods include cumulative sum (CUSUM) monitoring (Page, 1954) <doi:10.1093/biomet/41.1-2.100>, exponentially weighted moving average (EWMA) monitoring (Roberts, 1959) <doi:10.1080/00401706.1959.10489860>, Local Moran's I spatial analysis (Anselin, 1995) <doi:10.1111/ [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, rlang, sf, spdep, stats
Suggests: covr, testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-02 23:47:39 UTC; m
Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 13:30:24 UTC

More information about AMRsurveilR at CRAN
Permanent link

New package actisensorlog with initial version 0.2.0
Package: actisensorlog
Title: Summarize 'SensorLog'/'SensorLogger' Activity Data
Version: 0.2.0
Description: Provides functions for analyzing 'SensorLog' <https://sensorlog.berndthomas.net/> and 'SensorLogger' <https://www.tszheichoi.com/sensorlogger> data.
License: GPL-3
Depends: R (>= 4.1.0)
Suggests: testthat, covr, knitr, rmarkdown
Encoding: UTF-8
Imports: actibase, actiread, assertthat, dplyr, geosphere, janitor, lubridate, lutz, purrr, readr, tidyr
URL: https://github.com/jhuwit/actisensorlog, https://jhuwit.github.io/actisensorlog/
BugReports: https://github.com/jhuwit/actisensorlog/issues
NeedsCompilation: no
Packaged: 2026-09-02 15:48:01 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 13:10:16 UTC

More information about actisensorlog at CRAN
Permanent link

New package visual.kaito with initial version 0.1.0
Package: visual.kaito
Title: Interactive 3D Visualizations for Group Comparisons
Version: 0.1.0
Description: Draws interactive, rotatable statistical visualizations in three dimensions, built on 'plotly'. Two families of plots are provided. Triaxial box plots (boxplot3d(), boxplot3d_interactive()) compare groups on three continuous variables at once, with Tukey, fixed-percentile, mean +/- SD, and letter-value box/whisker conventions, plus parametric and non-parametric significance testing (per-axis and joint 3D via MANOVA / PERMANOVA). Bivariate density plots (ttest_plot3d(), manova_plot3d()) compare two or more groups on two continuous variables as overlapping 3D density surfaces, reporting per-axis t-tests together with a joint Hotelling's T-squared test (two groups), or a one-way MANOVA omnibus test with Bonferroni, Tukey, Fisher's LSD, and Dunnett post-hoc comparisons (more than two groups). All plots include live, pre-computed controls (view, method, scale, transparency) so results can be explored interactively without re-running R code.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/gygpsicologos-eng/visual.kaito
BugReports: https://github.com/gygpsicologos-eng/visual.kaito/issues
Suggests: htmlwidgets, knitr, mirt, multcomp, plotly, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-02 10:57:18 UTC; arman
Author: Armando Gonzalez Sanchez [aut, cre]
Maintainer: Armando Gonzalez Sanchez <gygpsicologos@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 13:00:02 UTC

More information about visual.kaito at CRAN
Permanent link

New package SampleSelectR with initial version 1.0.0
Package: SampleSelectR
Title: Randomly Select Samples for Various Probability-Based Methods
Version: 1.0.0
Description: Randomly select samples using simple random sampling (SRS), systematic sampling, and various probability proportional to size (PPS) methods, including systematic PPS and sequential PPS (i.e., Chromy's method). Also includes functionality to allocate sample sizes across strata using proportional, power, Neyman, and optimal allocation methods, and to select samples within strata. Designed to make survey sample design and selection reproducible, efficient, and transparent for survey statisticians and researchers. Sampling methods follow Kalton (1983) <doi:10.4135/9781412984683> and Chromy (1979) <http://www.asasrms.org/Proceedings/papers/1979_081.pdf>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: data.table, rlang, stats, tidytable, utils
LazyData: true
URL: https://github.com/RTIInternational/SampleSelectR, https://rtiinternational.github.io/SampleSelectR/
BugReports: https://github.com/RTIInternational/SampleSelectR/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-01 18:40:01 UTC; sazimmer
Author: Stephanie Zimmer [aut, cre], John David Bunker, Jr. [aut], Thomas Burkett [aut], Philip Lee [aut], Haby Sow [aut], RTI International [cph, fnd]
Maintainer: Stephanie Zimmer <sazimmer@rti.org>
Repository: CRAN
Date/Publication: 2026-09-12 12:10:02 UTC

More information about SampleSelectR at CRAN
Permanent link

New package NeuralSTATIS with initial version 0.1.0
Package: NeuralSTATIS
Title: Neural Network Enhanced STATIS Methodology for Three-Way Data Analysis
Version: 0.1.0
Description: Combines Autoencoders with the STATIS (Structuring Three-way Arrays in Statistics) methodology for dimensional reduction and visualization of multi-way data (tables x individuals x variables). Methods are based on L'Hermier des Plantes (1976) and Carrera Buri & Galindo-Villardón (2026) <https://www.mdpi.com/1999-4893/19/8/637/pdf>.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, ggplot2, ggrepel, grid, gridExtra, reticulate, stats
Suggests: gganimate, gifski, testthat (>= 3.0.0)
URL: https://github.com/fcarrer/NeuralSTATIS
BugReports: https://github.com/fcarrer/NeuralSTATIS/issues
NeedsCompilation: no
Packaged: 2026-09-01 23:20:34 UTC; user
Author: Felix Miguel Carrera Buri [aut, cre]
Maintainer: Felix Miguel Carrera Buri <felix.carrera@xperty.com>
Repository: CRAN
Date/Publication: 2026-09-12 12:30:15 UTC

More information about NeuralSTATIS at CRAN
Permanent link

New package fspls2 with initial version 0.1.0
Package: fspls2
Title: A Package to Find Minimal Transcriptional Signatures
Version: 0.1.0
Date: 2026-09-02
Author: Lachlan Coin [aut, cre]
Imports: R6, jsonlite, Matrix, glmnet, tidyr, MASS, ggplot2, pROC, binom, confintr, DBI, RSQLite, methods,tibble, ggrepel, RColorBrewer, data.table
Depends: R (>= 4.1.0)
Maintainer: Lachlan Coin <l.coin@imb.uq.edu.au>
Description: Identifies minimal biomarker signatures for predicting phenotypes from multiomic data. Integrates multiple omics layers, supports internal cross-validation. Supports missing values in predictors and outcomes. Enables model based imputation of uncertain values. Supports continuous, binary, multi-class and ordinal outcomes.
License: GPL-2
LazyLoad: yes
NeedsCompilation: no
Repository: CRAN
Packaged: 2026-09-02 04:43:34 UTC; lcoin
Date/Publication: 2026-09-12 12:30:02 UTC
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr

More information about fspls2 at CRAN
Permanent link

New package coreval with initial version 0.1.0
Package: coreval
Title: Check Clinical Trial Data Against 'CDISC' Open Rules
Version: 0.1.0
Description: Finds conformance problems in clinical trial data without leaving R, using the openly published 'CDISC' Open Rules ('CORE'). Check a single dataset while you are still writing the code that builds it, or a whole study folder once it exists, and get the findings back as a tidy data frame pointing at the exact row and variable. Reads transport ('XPT'), 'SAS' and comma-separated files, plus 'Define-XML' when present, and covers rules for the 'SDTM', 'SEND' and 'TIG' standards. The rules are bundled inside the package, so nothing is downloaded and your data never leaves your machine: no internet, no API key, no account. When a rule cannot be checked - because it needs a dataset you did not supply, for instance - it is reported as skipped with the reason, never counted as a pass. Meant as a quick first pass before a qualified validation system, never as a replacement for one. An independent project: not affiliated with or endorsed by 'CDISC', and not a 'CORE'-certified conformance engine.
Copyright: Hrach Gevorgyan holds the copyright in this package's own code. The bundled rule definitions and CDISC standards metadata under inst/extdata are derived from cdisc-org/cdisc-open-rules, copyright CDISC, and are used under its MIT license. See inst/COPYRIGHTS for the full notice and for which files that covers.
License: MIT + file LICENSE
URL: https://github.com/hrach-gevorgyan/coreval
BugReports: https://github.com/hrach-gevorgyan/coreval/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: data.table, haven
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), writexl, xml2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-02 06:25:08 UTC; hrach
Author: Hrach Gevorgyan [aut, cre, cph]
Maintainer: Hrach Gevorgyan <hrach.gevorgyan@yandex.com>
Repository: CRAN
Date/Publication: 2026-09-12 12:30:08 UTC

More information about coreval at CRAN
Permanent link

New package Compositionalscsmr with initial version 1.0
Package: Compositionalscsmr
Title: Simplical-Simplicial Spatial Median Regression for Compositional Data
Version: 1.0
Date: 2026-09-02
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: cluster, Compositional, graphics, MASS, Matrix, quadprog, rangen, Rfast, stats
Suggests: Rfast2
Description: Simplicial-simplicial regression is performed via the simplicially constrained spatial median regression model. The regression coefficients are constrained to be non-negative and sum to 1. For the spatial median regression the iteratively reweighted least squares algorithm is adopted, where quadratic programming is used to impose the constraints.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-09-02 07:25:45 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-09-12 12:50:07 UTC

More information about Compositionalscsmr at CRAN
Permanent link

New package basetable with initial version 1.3.2
Package: basetable
Title: Fast and Memory-Efficient Base R Table Manipulation
Version: 1.3.2
Description: A tabular data manipulation, exploration and validation toolkit with a base R-style interface (subset, transform, aggregate, merge, split) and no external computation dependency. Grouping, joins, ordering, filtering, reshaping and delimited-file reading run in a bundled 'C++' engine that uses multiple threads for the heavier operations. Grouped reducers accumulate in compiled code without materialising intermediate columns, so grouped aggregation and counting allocate close to nothing. Results are returned as an ordinary data frame with a light 'basetable' class.
License: MIT + file LICENSE
URL: https://github.com/ielbadisy/basetable
BugReports: https://github.com/ielbadisy/basetable/issues
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: parallel, stats, utils
Suggests: bench, data.table, dplyr, ggplot2, knitr, rmarkdown, scales, testthat (>= 3.0.0)
VignetteBuilder: knitr
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-09-01 22:12:12 UTC; imad-el-badisy
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 12:20:02 UTC

More information about basetable at CRAN
Permanent link

New package sclValid with initial version 0.1.0
Package: sclValid
Title: Ensemble Validation and Ranking of Clustering Methods
Version: 0.1.0
Description: Provides tools for clustering, validation, and ranking of single-cell RNA sequencing data. The package implements multiple clustering approaches, a collection of internal, external, and stability-based validation measures, and rank aggregation for comparing clustering solutions. User-defined clustering functions can also be incorporated into the validation framework. Methods are based in part on Visser and Datta (2025) <doi:10.1002/sim.70331>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Imports: cccd, cli, clue, igraph, mclust, mnormt, pcaMethods, RaceID, RankAggreg, Rcpp, Rtsne, S4Vectors, SingleCellExperiment, SummarizedExperiment
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-09-01 13:18:10 UTC; owvis
Author: Owen Visser [aut, cre], Justina Zurauskienė [ctb] , Christopher Yau [ctb]
Maintainer: Owen Visser <owviss@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 09:40:08 UTC

More information about sclValid at CRAN
Permanent link

New package OmicsBraid with initial version 0.2.3
Package: OmicsBraid
Title: Covariance-Aware Inference of Cross-Omic Effect Trajectories
Description: A research-oriented statistical framework for comparing standardized biological effects across matched omics layers. It estimates layer-specific standardized effects, accounts for cross-omic dependence using matched-subject bootstrap correlations, tests multivariate omnibus evidence, synthesizes consensus effects with generalized least squares, quantifies cross-omic heterogeneity, performs practical-equivalence testing, fits covariance-aware ordered GLS effect trajectories, classifies hierarchical cross-layer effect patterns with separate confirmatory and suggestive states, supports analytic and subject-bootstrap confidence intervals for layer and consensus effects, supports empirical matched-subject permutation and centered-bootstrap calibration of omnibus and heterogeneity tests for non-Gaussian settings, and creates evidence-forest and effect-braid visualizations. The package is designed for analysis-ready bulk multi-omics data or externally estimated summary statistics. It does not [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: ggplot2, stats, utils
Suggests: MultiAssayExperiment, testthat (>= 3.0.0), knitr, rmarkdown
Version: 0.2.3
URL: https://github.com/microbes-potential/OmicsBraid, https://microbes-potential.github.io/OmicsBraid/
BugReports: https://github.com/microbes-potential/OmicsBraid/issues
NeedsCompilation: no
Packaged: 2026-09-01 17:03:31 UTC; mahad
Author: Adeel Farooq [aut, cre]
Maintainer: Adeel Farooq <jhwanj9@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 09:30:02 UTC

More information about OmicsBraid at CRAN
Permanent link

New package undomanager with initial version 0.1.0
Package: undomanager
Title: Manage the History of Any Object with Undo/Redo Operations
Version: 0.1.0
Description: Track the history of any R object and move through it with undo and redo operations. Anything can be stored, from a single number to a data frame or an entire application state. A manager can restrict its history to specific classes and cap how many items it keeps, and it can be reactive to integrate with 'Shiny'.
URL: https://github.com/daattali/undomanager
BugReports: https://github.com/daattali/undomanager/issues
Depends: R (>= 4.0.0)
Imports: checkmate, R6
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), shiny
NeedsCompilation: no
Packaged: 2026-09-01 14:22:38 UTC; Dean
Author: Dean Attali [aut, cre]
Maintainer: Dean Attali <daattali@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 08:50:02 UTC

More information about undomanager at CRAN
Permanent link

New package RobustArithmetic with initial version 0.1.0
Package: RobustArithmetic
Title: Verified Interval Arithmetic and Rigorous Enclosures in Pure R
Version: 0.1.0
Description: Verified interval arithmetic for R, in the inf-sup (endpoint) representation of the set-based flavor of the interval standard. Every operation returns an enclosure that provably contains the exact result: outward rounding is obtained from the predecessor and successor formulas of Rump, Zimmermann, Boldo and Melquiond (2009) <doi:10.1007/s10543-009-0218-z>, which are valid under round-to-nearest and therefore need no change to the floating-point rounding mode. That mode is not reachable from R, and changing it would not be a local act: it is per-thread state of the processor, so it would govern every floating-point operation executed afterwards on that thread, in this package or anywhere else. Elementary functions are provided at two levels: a fast level over the system math library, widened by a declared slack derived from published accuracy measurements, and a rigorous level over 'Rmpfr' with a directed-rounding bridge, reached by an escalation ladder of precisions when a verdic [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: compiler, stats
Suggests: Rmpfr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/IsadoreNabi/RobustArithmetic
BugReports: https://github.com/IsadoreNabi/RobustArithmetic/issues
NeedsCompilation: no
Packaged: 2026-09-01 14:43:46 UTC; josemgomezj
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>
Repository: CRAN
Date/Publication: 2026-09-12 09:00:07 UTC

More information about RobustArithmetic at CRAN
Permanent link

New package rankMANOVA with initial version 0.1.1
Package: rankMANOVA
Title: Rank-Based Tests for Multivariate Data in Nonparametric Factorial Designs
Version: 0.1.1
Date: 2026-09-01
Maintainer: Sarah Friedrich <sarah.friedrich@math.uni-augsburg.de>
Depends: R (>= 4.5.0)
Description: Implemented are an ANOVA-type test statistic for testing hypotheses formulated in Mann-Whitney-type effects in nonparametric factorial designs. Statistical inference is based on a wild or a sample-specific bootstrap approach as described in 'Dobler et al. (2019) <doi:10.1007/s10463-019-00717-3>'. The unweighted treatment effects considered do not depend on sample sizes and allow for transitive ordering. The package thus provides an extension of the univariate 'rankFD' package to multivariate data.
License: GPL-2 | GPL-3
Imports: MASS (>= 7.3-43), parallel, methods, multcomp
LazyData: TRUE
Suggests: knitr, rmarkdown, GFD
Encoding: UTF-8
VignetteBuilder: knitr, rmarkdown
URL: https://github.com/smn74/rankMANOVA
BugReports: https://github.com/smn74/rankMANOVA/issues
NeedsCompilation: no
Packaged: 2026-09-01 13:50:04 UTC; sfriedrich
Author: Sarah Friedrich [aut, cre], Dennis Dobler [aut], Markus Pauly [aut]
Repository: CRAN
Date/Publication: 2026-09-12 08:30:02 UTC

More information about rankMANOVA at CRAN
Permanent link

New package janssonr with initial version 0.1.2
Package: janssonr
Title: Strict JSON Encoding and Decoding via the 'Jansson' C Library
Version: 0.1.2
Date: 2026-09-01
Copyright: cornball.ai, except the bundled Jansson sources under src/jansson, whose per-file copyright holders and license statements are listed in inst/COPYRIGHTS.
Description: An R-safe profile of RFC 8259 JSON: parsing and generation backed by the 'Jansson' C library, linked as a system library where one is available and compiled from the bundled sources otherwise. The parser rejects, with classed conditions carrying line, column, and byte position: malformed or truncated input, trailing content, duplicate object keys at any depth, invalid UTF-8, escapes encoding a null character, reals overflowing double, and integer literals whose magnitude exceeds 2^53, the range within which a double represents every integer exactly. Number literals with a fraction or exponent convert by ordinary correctly rounded IEEE 754 double conversion. Objects decode to named lists in key order, arrays to unnamed lists, and scalars to length-one vectors. The encoder maps named lists to objects in insertion order, unnamed lists to arrays, guarantees that every finite double, signed zero included, round-trips to the exact same value (whole-number doubles are written as integers), an [...truncated...]
License: MIT + file LICENSE
Depends: R (>= 4.4.0)
URL: https://github.com/cornball-ai/janssonr
BugReports: https://github.com/cornball-ai/janssonr/issues
SystemRequirements: jansson (>= 2.11) is linked when present: libjansson-dev (deb), jansson-devel (rpm), jansson (brew). When it is absent, and always on Windows, the bundled Jansson 2.15.1 is compiled into the package.
Suggests: tinytest
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-09-01 14:36:13 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph], Petri Lehtinen [ctb, cph] , Basile Starynkevitch [ctb, cph] , Graeme Smecher [ctb, cph] , Sean Bright [ctb, cph] , David M. Gay [ctb] , Lucent Technologies [cph] , Bob Jenkins [ctb] , bundled by Jansson [...truncated...]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-09-12 09:00:02 UTC

More information about janssonr at CRAN
Permanent link

New package cogmod with initial version 0.3.0
Package: cogmod
Title: Cognitive Models for Subjective Scales and Decision Making Tasks
Version: 0.3.0
Description: Implements cognitive models for data from subjective (Likert or analog) scales and from decision making tasks with reaction times and choice data. Provides random generation, density functions, and custom response distributions for Bayesian estimation with 'brms', covering discreted-beta, ordered beta and choice-confidence models for subjective ratings, reaction-times families (Shifted Log-Normal, Shifted Wald), as well as sequential sampling models including the drift diffusion model (DDM), the racing diffusion model (RDM), the lognormal race model (LNR), and linear ballistic accumulator (LBA) model. The website provides examples and tutorials for using and interpreting the models. Methods are described in Ratcliff and McKoon (2008) <doi:10.1162/neco.2008.12-06-420>, Brown and Heathcote (2008) <doi:10.1016/j.cogpsych.2007.12.002>, Rouder et al. (2015) <doi:10.1007/s11336-013-9396-3>, Tillman et al. (2020) <doi:10.3758/s13423-020-01719-6>, Kubinec (2023) <doi [...truncated...]
URL: https://github.com/DominiqueMakowski/cogmod, https://dominiquemakowski.github.io/cogmod/
BugReports: https://github.com/DominiqueMakowski/cogmod/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: brms, insight, stats
Suggests: testthat, cmdstanr, knitr, rmarkdown, loo, dplyr, ggplot2, ggrepel, easystats, datawizard, bayestestR, parameters, performance, modelbased, report, reformulas, lme4, RWiener, rtdists
Additional_repositories: https://mc-stan.org/r-packages/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-01 12:17:29 UTC; domma
Author: Dominique Makowski [aut, cre]
Maintainer: Dominique Makowski <D.Makowski@sussex.ac.uk>
Repository: CRAN
Date/Publication: 2026-09-12 08:10:02 UTC

More information about cogmod at CRAN
Permanent link

New package varmapack with initial version 0.1.1
Package: varmapack
Title: Burn-in-Free Simulation and Analysis of Gaussian VARMA Models
Version: 0.1.1
Description: Simulates Gaussian vector autoregressive-moving-average time-series models without a burn-in period by drawing startup shocks from their model-implied conditional distribution. Also provides model test cases, autocovariances, spectral radii, and impulse responses.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: R6, randompack (>= 0.1.10)
LinkingTo: randompack
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/jonasson2/varmapack
BugReports: https://github.com/jonasson2/varmapack/issues
NeedsCompilation: yes
Packaged: 2026-09-01 05:31:26 UTC; jonasson
Author: Kristjan Jonasson [aut, cre]
Maintainer: Kristjan Jonasson <jonasson@hi.is>
Repository: CRAN
Date/Publication: 2026-09-12 07:10:03 UTC

More information about varmapack at CRAN
Permanent link

New package sync3d with initial version 0.1.1
Package: sync3d
Title: Synchronized 3D Vector and Marker Animations in 'Plotly'
Version: 0.1.1
Description: Provides a domain-agnostic visualization utility designed to bypass structural rendering limitations within multi-trace three-dimensional animations in 'Plotly' by implementing a decoupled rendering pipeline. Computational processing of time-dependent physical states (markers and nodes) is managed within the R environment, while a custom hardware-accelerated 'WebGL' injection handles the synchronous rendering of complex topological frameworks (lines and edges) directly within the 'UI' browser interface via 'htmlwidgets'. This dual-layer architecture ensures smooth execution of synchronized multi-component 3D animations without framework degradation or controller loss.
License: GPL-3
Encoding: UTF-8
Imports: htmlwidgets, plotly
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-01 09:54:48 UTC; katharinabrecht
Author: Katharina Brecht [aut, cre]
Maintainer: Katharina Brecht <katharina.quantumdata@proton.me>
Repository: CRAN
Date/Publication: 2026-09-12 07:30:02 UTC

More information about sync3d at CRAN
Permanent link

New package smrlasso with initial version 1.0
Package: smrlasso
Title: LASSO Spatial Median Regression
Version: 1.0
Date: 2026-09-01
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Compositional, glmnet, Rfast, stats
Description: Penalized spatial median regression using LASSO. The iteratively reweighted least squares algorithm is used to solve the spatial median regression problem and weighted LASSO is employed.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-09-01 08:39:38 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-09-12 08:00:02 UTC

More information about smrlasso at CRAN
Permanent link

New package postvocs with initial version 0.2.5
Package: postvocs
Title: Post-Processing Tools for GC-MS Volatile Organic Compound Data
Version: 0.2.5
Description: Provides functions for processing Shimadzu gas chromatography-mass spectrometry (GC-MS) exported text files, extracting Chemical Abstracts Service (CAS) numbers and peak areas, building abundance matrices, annotating compounds, and screening based on occurrence frequency. The package is designed for organizing, identifying, and screening volatile compounds in metabolomics and environmental studies.
Depends: R (>= 4.5.0)
Imports: dplyr, tidyr, openxlsx, readxl, rlang, webchem, tools
License: GPL (>= 3)
URL: https://github.com/HanXT97/postvocs
BugReports: https://github.com/HanXT97/postvocs/issues
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-09-01 05:29:47 UTC; Hanxt
Author: Xiaotao Han [aut, cre]
Maintainer: Xiaotao Han <postvocs.r@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 07:10:08 UTC

More information about postvocs at CRAN
Permanent link

New package pilotr with initial version 0.3.0
Package: pilotr
Title: Simulate Experimental and Behavioural Data from a Portable Design Specification
Version: 0.3.0
Description: Generative simulation of experimental and behavioural data sets from a portable JavaScript Object Notation (JSON) design specification shared with the 'Python' package of the same name. Supports user-specified fixed effect sizes, crossed by-subject and by-item random intercepts and slopes, predictors measured with error, realistic response families (Gaussian, lognormal, shifted lognormal, ex-Gaussian, Bernoulli, Poisson, ordinal and Beta), and simulation-based power and precision-based design analysis, including the Type S and Type M errors of Gelman and Carlin (2014) <doi:10.1177/1745691614551642> and a region of practical equivalence. A shared cross-language random-number generator means that, given the same specification and seed, the R and 'Python' implementations produce identical data: exactly for the Gaussian family and for any family with rounding set, and to within the last unit in the last place for families applying a transcendental function to the linear predictor, wh [...truncated...]
License: MIT + file LICENSE
URL: https://pablobernabeu.github.io/pilotr/r/, https://github.com/pablobernabeu/pilotr
BugReports: https://github.com/pablobernabeu/pilotr/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: jsonlite, parallel, stats
Suggests: shiny, future, promises, ggplot2 (>= 3.4.0), lme4, lmerTest, callr, knitr, rmarkdown, testthat (>= 3.0.0), MASS
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-01 09:05:54 UTC; PabloB
Author: Pablo Bernabeu [aut, cre]
Maintainer: Pablo Bernabeu <pcbernabeu@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 07:30:08 UTC

More information about pilotr at CRAN
Permanent link

New package GrangerRKHS with initial version 0.1.0
Package: GrangerRKHS
Title: RKHS-Based Nonlinear Granger Causality Testing via Conditional Centering
Version: 0.1.0
Description: Provides methods for nonlinear Granger causality testing in reproducing kernel Hilbert space (RKHS), using kernel ridge regression for conditional mean estimation and conditional centering for construction of the test statistic.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
NeedsCompilation: no
Packaged: 2026-09-01 08:45:32 UTC; AAA
Author: Yuhan Tian [aut, cre], Adam Waterbury [aut], Marie-Christine Dueker [aut]
Maintainer: Yuhan Tian <tyh9293@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 07:20:02 UTC

More information about GrangerRKHS at CRAN
Permanent link

New package AutoGenAI with initial version 0.1.0
Package: AutoGenAI
Title: Adaptive Optimization of Prompts, Models and Generation Strategies
Version: 0.1.0
Description: Provides provider-agnostic tools for jointly comparing and optimizing prompts, language-model providers, and generation strategies for generative artificial intelligence workflows. Candidate configurations can be evaluated using user-supplied scoring functions, cost and latency measurements, robustness perturbations, Pareto-front screening, budget and latency constraints, prompt evolution, adaptive routing, self-consistency, and text-output ensembles. The core workflow is designed to run offline with deterministic mock providers, while external model application programming interfaces can be connected through user-defined provider functions. Evolutionary search concepts are described by Goldberg (1989, ISBN:0201157675), and multi-objective optimization concepts are related to Deb, Pratap, Agarwal and Meyarivan (2002) <doi:10.1109/4235.996017>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: jsonlite
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-29 11:41:53 UTC; marvian
Author: Leila Marvian Mashhad [aut, cre]
Maintainer: Leila Marvian Mashhad <leila.marveian@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 07:40:02 UTC

More information about AutoGenAI at CRAN
Permanent link

Fri, 11 Sep 2026

New package siniaR with initial version 0.1.0
Package: siniaR
Title: Access to Peru's Environmental Statistics ('SINIA' / 'MINAM')
Version: 0.1.0
Description: Provides programmatic access to official environmental statistics and data of Peru from the National Environmental Information System ('SINIA', <https://sinia.minam.gob.pe/>), Ministry of the Environment ('MINAM'). Includes indicator catalogs, technical metadata sheets ('fichas técnicas'), and structured historical series for 'R'.
Language: es
License: MIT + file LICENSE
URL: https://github.com/PaulESantos/siniaR, https://paulesantos.github.io/siniaR/
BugReports: https://github.com/PaulESantos/siniaR/issues
Depends: R (>= 3.6.0)
Imports: cli (>= 3.0.0), curl (>= 4.3.0), jsonlite (>= 1.7.0), tibble (>= 3.0.0)
Suggests: DT, dplyr, ggplot2, htmltools, knitr, rmarkdown, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-09-01 01:25:38 UTC; PC
Author: Paul Efren Santos Andrade [aut, cre, cph]
Maintainer: Paul Efren Santos Andrade <paulefrens@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-11 16:00:02 UTC

More information about siniaR at CRAN
Permanent link

New package sglssnal with initial version 0.1.0
Package: sglssnal
Title: Sparse-Group Lasso via Semismooth Newton Augmented Lagrangian
Version: 0.1.0
Description: Implements the sparse-group lasso method of Zhang et al. (2020) <doi:10.1007/s10107-018-1329-6>. Unlike many widely available methods based on first-order descent, this method uses second-order information to solve the dual optimization problem via a semismooth Newton method.
License: MIT + file LICENSE
URL: https://github.com/roobnloo/sglssnal
BugReports: https://github.com/roobnloo/sglssnal/issues
Depends: R (>= 4.4.0)
Encoding: UTF-8
LazyData: true
Imports: Matrix, Rcpp, RSpectra, methods, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-08-31 23:04:17 UTC; boethius
Author: Robin Liu [aut, cre], Yangjing Zhang [ctb]
Maintainer: Robin Liu <robin28liu@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-11 15:30:02 UTC

More information about sglssnal at CRAN
Permanent link

New package arcstat with initial version 0.2.0
Package: arcstat
Title: Arc-Length Statistics: Goodness of Fit, Distributions and a Bayesian Test
Version: 0.2.0
Description: Inference from the arc length of statistical functions. Three tools share one pure-C back-end: a goodness-of-fit test based on the arc length of the probability plot, with an analytic saddlepoint null and sensitivity to local density structure that the empirical-distribution tests miss; two constructions that build a distribution from the arc length of its defining curve, the arc-length generator and the quantile arc-length family estimated by L-moments; and a Bayesian nonparametric arc-length goodness-of-fit test on the Dirichlet-process posterior. The same C sources back the 'Python' package 'arcstat'.
URL: https://github.com/mtloots/arcstat
BugReports: https://github.com/mtloots/arcstat/issues
License: GPL-3
Encoding: UTF-8
Imports: stats
NeedsCompilation: yes
Suggests: MASS, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Packaged: 2026-08-31 19:10:05 UTC; home
Author: M. Theodor Loots [aut, cre]
Maintainer: M. Theodor Loots <theo.loots@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-11 14:30:13 UTC

More information about arcstat at CRAN
Permanent link

New package rpsurv with initial version 0.7.1
Package: rpsurv
Title: Fast Royston-Parmar Flexible Parametric Survival Models
Version: 0.7.1
Description: Fits Royston-Parmar flexible parametric survival models (Royston and Parmar, 2002) <doi:10.1002/sim.1203> on the log cumulative hazard, odds, and probit scales, with time-varying (non-proportional) covariate effects via restricted cubic splines in log time. The likelihood and its analytic gradient are evaluated in C++ with 'RcppParallel', giving large speedups over pure-R implementations for large datasets.
License: MIT + file LICENSE
URL: https://github.com/ielbadisy/rpsurv
BugReports: https://github.com/ielbadisy/rpsurv/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp, RcppParallel, survival, stats, graphics, grDevices
LinkingTo: Rcpp, RcppParallel
SystemRequirements: GNU make
Suggests: rstpm2, flexsurv, numDeriv, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2026-08-31 17:24:07 UTC; imad-el-badisy
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-11 13:50:02 UTC

More information about rpsurv at CRAN
Permanent link

New package validateR with initial version 0.2.0
Package: validateR
Title: Simple Data Frame Validation and Quality Checks
Version: 0.2.0
Description: Checks a data frame for common data quality issues, including missing values, outliers, duplicate rows, and type inconsistencies. Results are returned as a structured 'validation_report' object with 'print' and 'plot' methods for quick inspection.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: graphics, stats
VignetteBuilder: knitr
URL: https://github.com/UgyenNorbu/validateR
BugReports: https://github.com/UgyenNorbu/validateR/issues
NeedsCompilation: no
Packaged: 2026-08-31 13:26:26 UTC; ugyennorbu
Author: Ugyen Norbu [aut, cre]
Maintainer: Ugyen Norbu <unorbu2019@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-09-11 12:20:02 UTC

More information about validateR at CRAN
Permanent link

New package r4subpharma with initial version 0.1.0
Package: r4subpharma
Title: 'pharmaverse' Adapters for R4SUB Submission Readiness Evidence
Version: 0.1.0
Description: Bridges the 'pharmaverse' clinical reporting stack and the R4SUB (Ready for Submission) ecosystem. Converts 'metacore' metadata objects and ADaM (Analysis Data Model) datasets - such as those built with 'admiral' - into standardized R4SUB evidence table rows via 'r4subcore', so that submission readiness can be scored with 'r4subscore' without changing an existing pharmaverse pipeline.
License: MIT + file LICENSE
URL: https://r4sub.github.io/r4subpharma/, https://github.com/R4SUB/r4subpharma
BugReports: https://github.com/R4SUB/r4subpharma/issues
Depends: R (>= 4.2)
Imports: cli, r4subcore, tibble
Suggests: knitr, metacore, pharmaverseadam, r4subdata, r4subprofile, r4subscore, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-08-31 17:07:11 UTC; alpine
Author: Pawan Rama Mali [aut, cre, cph]
Maintainer: Pawan Rama Mali <prm@outlook.in>
Repository: CRAN
Date/Publication: 2026-09-11 13:00:02 UTC

More information about r4subpharma at CRAN
Permanent link

New package nbsurv with initial version 0.5.1
Package: nbsurv
Title: Conditional Naive Bayes Survival Modelling for Right-Censored Data
Version: 0.5.1
Description: Fits conditional naive Bayes survival models for right-censored outcomes using inverse-probability of censoring weighting. The package provides model fitting, prediction, resampling-based evaluation, cross-validation, hyper-parameter tuning, and permutation variable importance utilities for horizon-specific survival prediction. The model is the censored naive Bayes classifier of Wolfson et al. (2015) <doi:10.1002/sim.6526>, which combines the marginal Kaplan-Meier survivor function with horizon-specific class-conditional covariate densities and inverse-probability-of-censoring weights. Resampling evaluation uses the inverse-probability-of-censoring-weighted Brier score of Gerds and Schumacher (2006) <doi:10.1002/bimj.200610301>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: graphics, survival, stats, utils
Suggests: knitr, pkgload, pec, quarto, ranger, rmarkdown, testthat
VignetteBuilder: knitr
URL: https://github.com/ielbadisy/nbsurv
BugReports: https://github.com/ielbadisy/nbsurv/issues
NeedsCompilation: no
Packaged: 2026-08-31 17:09:00 UTC; imad-el-badisy
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-11 12:50:02 UTC

More information about nbsurv at CRAN
Permanent link

New package eidosapi with initial version 1.2.0
Package: eidosapi
Title: Connect to the Taxonomic Services of the Spanish Inventory of Natural Patrimony and Biodiversity
Version: 1.2.0
Description: Provides access to 'EIDOS' <https://iepnb.gob.es/areas-tematicas/especies-silvestres/eidos>, the taxonomic information service from the Spanish Inventory of Natural Patrimony and Biodiversity. This package includes a suite of functions that help retrieve species' taxonomic and conservation information from 'EIDOS' and match taxa names against the checklists available in the database. More information can be found at Miranda Cebrián, H. (2025) <doi:10.7818/ECOS.3134>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: jsonlite, fuzzyjoin, readxl, curl, httr
URL: https://github.com/hmirceb/eidosapi
BugReports: https://github.com/hmirceb/eidosapi/issues
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-31 12:09:05 UTC; hector
Author: Hector Miranda-Cebrian [aut, cre, cph]
Maintainer: Hector Miranda-Cebrian <hectorm94@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-11 12:00:09 UTC

More information about eidosapi at CRAN
Permanent link

New package danlex with initial version 0.1.0
Package: danlex
Title: Access Danish Legislation from Retsinformation
Version: 0.1.0
Description: Provides access to Danish acts, regulations and treaties published by Retsinformation via its European Legislation Identifier (ELI) service. Part of the lexverse family of packages for legal and regulatory data.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
URL: https://github.com/KristianVepsalainen/danlex
BugReports: https://github.com/KristianVepsalainen/danlex/issues
Encoding: UTF-8
Imports: httr2, rlang, tibble, xml2
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-08-31 12:08:00 UTC; kristianvepsalainen
Author: Kristian Vepsaelaeinen [aut, cre]
Maintainer: Kristian Vepsaelaeinen <kristian.vepsalainen@proton.me>
Repository: CRAN
Date/Publication: 2026-09-11 12:00:15 UTC

More information about danlex at CRAN
Permanent link

New package ICESat2VegR with initial version 0.0.1
Package: ICESat2VegR
Title: ICESat-2 Data Analysis for Land and Vegetation
Version: 0.0.1
Description: Provides tools for downloading, reading, processing, visualizing, and exporting NASA's ICESat-2 ATL03 (Global Geolocated Photon Data) and ATL08 (Land and Vegetation Height) products. Supports photon- and segment-level analysis, spatial sampling, gridding, statistical and machine-learning modeling, and integration with 'Google Earth Engine' (<https://earthengine.google.com/>) for wall-to-wall mapping of vegetation structure and other land attributes.
Depends: R (>= 4.1.0)
Imports: curl, data.table, sf, fs, getPass, geojsonsf, googledrive, googleCloudStorageR, grDevices, jsonlite, httr2, magrittr, mathjaxr, methods, Rcpp, Rdpack, R6, randomForest, reticulate, terra, dplyr, servr, stringr, xml2
Encoding: UTF-8
URL: https://github.com/carlos-alberto-silva/ICESat2VegR
BugReports: https://github.com/carlos-alberto-silva/ICESat2VegR/issues
NeedsCompilation: yes
BuildManual: TRUE
Suggests: chromote, devtools, ggplot2, grid, gridExtra, hdf5r, htmlwidgets, knitr, leaflet, leafsync, lwgeom, mapview, png, rmarkdown, rstudioapi, signal, stars, testthat (>= 3.0.0), webshot, viridis, withr
LinkingTo: Rcpp
SystemRequirements: - GDAL (>= 3.0.0) - PROJ (>= 6.0.0) - HDF5 (>= 1.8.13)
License: GPL (>= 3)
Packaged: 2026-09-10 17:24:06 UTC; carlo
Author: Carlos Alberto Silva [aut, cph, cre], Caio Hamamura [aut, cph], Cesar Alvites [aut, ctb], Alexander J. Gaskins [aut, ctb], Sunil Arya [ctb, cph] ), David Mount [ctb, cph] ), University of Maryland [cph] ), Chuck Gantz [ctb] , Cole Krehbiel [ctb]
Maintainer: Carlos Alberto Silva <c.silva@ufl.edu>
Repository: CRAN
Date/Publication: 2026-09-11 07:10:09 UTC

More information about ICESat2VegR at CRAN
Permanent link

Thu, 10 Sep 2026

New package mathr with initial version 0.1.3
Package: mathr
Version: 0.1.3
Title: Scientific Computation Using R
Description: A collection of undergraduate level mathematical routines for quantitative work, covering calculus, distribution functions, random variate generation, linear algebra, differential equations and optimization, sized for one semester.
Depends: R (>= 3.0.0)
Copyright: 2018-2026, Kyun-Seop Bae
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
URL: https://github.com/ksbae/mathr
BugReports: https://github.com/ksbae/mathr/issues
Packaged: 2026-08-31 05:38:17 UTC; Kyun-SeopBae
Author: Kyun-Seop Bae [aut, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>
Repository: CRAN
Date/Publication: 2026-09-10 15:10:02 UTC

More information about mathr at CRAN
Permanent link

New package intraclass with initial version 0.1.0
Package: intraclass
Title: Modern Intraclass Correlation Coefficients
Version: 0.1.0
Description: Estimates interrater-reliability intraclass correlation coefficients (ICCs) within the generalizability-theory framework using modern variance-component estimation (linear mixed models) rather than the classical analysis-of-variance mean-squares approach. Provides the full ICC family (absolute agreement versus consistency, single versus average, fixed versus random raters, one-way versus two-way) with boundary-aware Monte-Carlo confidence intervals, support for imbalanced, incomplete, and multilevel (nested) designs, decision-study projection to other numbers of raters, and an interactive helper for choosing the correct coefficient. Multilevel methods follow ten Hove, Jorgensen and van der Ark (2022) <doi:10.1037/met0000391>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, generics, glmmTMB, lifecycle, rlang, stats, tibble
Suggests: brms, coda, covr, ggplot2, irr, irrICC, knitr, lavaan, lme4, merDeriv, posterior, psych, rmarkdown, spelling, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/jmgirard/intraclass, https://jmgirard.github.io/intraclass/
BugReports: https://github.com/jmgirard/intraclass/issues
Depends: R (>= 4.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-31 01:00:17 UTC; jmgirard
Author: Jeffrey Girard [aut, cre]
Maintainer: Jeffrey Girard <me@jmgirard.com>
Repository: CRAN
Date/Publication: 2026-09-10 15:10:10 UTC

More information about intraclass at CRAN
Permanent link

New package icebergr with initial version 0.1.0
Package: icebergr
Title: Read and Write 'Apache Iceberg' Tables
Version: 0.1.0
Description: A native client for 'Apache Iceberg', the open table format used by 'Snowflake', 'Databricks', 'BigQuery', 'AWS' and 'Dremio'. R has otherwise been able to read 'Iceberg' tables only by routing through 'DuckDB' as an intermediary, which rules out writes, snapshot management and catalog integration. This package talks to 'Iceberg' directly: it connects to REST and 'AWS Glue' catalogs, lists namespaces and tables, reads the schema and partition specification of a table, scans data with predicates and projections pushed down, travels back through snapshot history, and appends new data. 'Apache Arrow' is the interchange layer throughout, so scan results arrive in R without a serialisation round trip. Built on 'iceberg-rust', the Apache-governed 'Rust' implementation, via 'extendr'. Supports table spec versions 1 and 2; see the 'README' for the full matrix of supported and unsupported features. This is a community package, not affiliated with or endorsed by The Apache Software Foundation; ' [...truncated...]
License: GPL (>= 3)
URL: https://github.com/PursuitOfDataScience/icebergr
BugReports: https://github.com/PursuitOfDataScience/icebergr/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.2)
Imports: nanoarrow (>= 0.4.0), rlang (>= 1.1.0), tibble
Suggests: bit64, dplyr, knitr, rmarkdown, testthat (>= 3.1.7), vctrs, withr (>= 2.3.0)
VignetteBuilder: knitr
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.92, xz
NeedsCompilation: yes
Packaged: 2026-08-28 19:12:45 UTC; youzhi
Author: Youzhi Yu [aut, cre], The Apache Software Foundation [cph]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>
Repository: CRAN
Date/Publication: 2026-09-10 15:30:16 UTC

More information about icebergr at CRAN
Permanent link

New package tvbounds with initial version 0.1.1
Package: tvbounds
Title: Sensitivity Analysis and Bounds under Total Variation Neighborhoods
Version: 0.1.1
Description: Implements the sensitivity analysis framework of Palomba (2026) "Sensitivity Analysis in Population Shares" <https://filippopalomba.github.io/#jmp> for randomized experiments with attrition, counterfactuals in structural models, and recentered instrumental variables. Computes and plots sensitivity bounds together with their confidence intervals and robustness summary measures.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), stats, utils, withr
Suggests: JuliaCall, testthat (>= 3.1.5), knitr, rmarkdown
SystemRequirements: For tvbounds_counterfactual(): Julia (>= 1.9) and the Artelys KNITRO solver with a valid license.
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-30 17:10:06 UTC; fpalomba
Author: Filippo Palomba [aut, cre, cph]
Maintainer: Filippo Palomba <fpalomba@princeton.edu>
Repository: CRAN
Date/Publication: 2026-09-10 14:20:02 UTC

More information about tvbounds at CRAN
Permanent link

New package exnexSurv with initial version 1.3.0
Package: exnexSurv
Title: Bayesian EXNEX Models for Survival Analysis in Basket Trials
Version: 1.3.0
Description: Implements the Bayesian Exchangeable Non-Exchangeable (EXNEX) framework for right-censored log-normal survival data in basket trials. Based on 'Rcpp' and 'RcppArmadillo', the package provides a fast Gibbs sampler supporting EXNEX, complete pooling, and no pooling models to facilitate methodological comparisons and simulation studies.
License: MIT + file LICENSE
URL: https://github.com/victorney/exnexSurv, https://victorney.github.io/exnexSurv/
BugReports: https://github.com/victorney/exnexSurv/issues
Imports: Rcpp (>= 1.1.1), hardhat (>= 1.4.0), checkmate (>= 2.1.0)
Suggests: testthat (>= 3.3.0), survival (>= 3.8), knitr, rmarkdown, ggplot2, bayesplot, viridisLite
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-08-30 15:53:41 UTC; victo
Author: Victor Ney [aut, cre]
Maintainer: Victor Ney <victorney@ime.usp.br>
Repository: CRAN
Date/Publication: 2026-09-10 14:20:15 UTC

More information about exnexSurv at CRAN
Permanent link

New package co2e with initial version 0.1.0
Package: co2e
Title: Global Warming Potential Lookups and CO2-Equivalent Conversion
Version: 0.1.0
Description: Provides curated Global Warming Potential (GWP) values from IPCC Assessment Reports 4 through 6, gas name standardization across documented naming variants (IUPAC/common names, per-report naming changes, and EPA/data.gov naming), and CO2-equivalent conversion utilities. Values are drawn from official IPCC source tables, with corrections applied for two substances where the published table is known to contain errors; see the package vignette for details and source-by-source provenance notes.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tibble, stringr
Suggests: tidyr, readr, testthat (>= 3.0.0), knitr, rmarkdown, spelling
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/joewcorra/co2e
BugReports: https://github.com/joewcorra/co2e/issues
NeedsCompilation: no
Packaged: 2026-08-30 16:21:11 UTC; joewc
Author: Joe Corra [aut, cre, cph]
Maintainer: Joe Corra <Joewcorra@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 14:10:02 UTC

More information about co2e at CRAN
Permanent link

New package epkde with initial version 0.1.0
Package: epkde
Title: Bayesian Bandwidth Selection for Multivariate KDE via Expectation Propagation
Version: 0.1.0
Author: Maurizio Filippone [aut, cre]
Maintainer: Maurizio Filippone <maurizio.filippone@kaust.edu.sa>
Description: Implements the approximate Bayesian method for bandwidth selection in multivariate kernel density estimation (KDE) proposed in Filippone & Sanguinetti (2011) <doi:10.1016/j.csda.2011.05.023>. The method uses the Expectation Propagation (EP) algorithm to approximate the posterior distribution of the inverse bandwidth (precision matrix) under a leave-one-out cross-validated likelihood. Three covariance structures are supported: isotropic (scalar precision), diagonal, and full precision matrix. Online Bayesian updating is supported for the isotropic case. The approximate posterior can be used for bandwidth selection, model comparison (via the model evidence / Bayes factor), and online learning.
Depends: R (>= 4.0.0)
License: GPL-3
Encoding: UTF-8
Imports:
Suggests: ks, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/mauriziofilippone/epkde
BugReports: https://github.com/mauriziofilippone/epkde/issues
NeedsCompilation: no
Packaged: 2026-08-30 09:29:08 UTC; filippm
Repository: CRAN
Date/Publication: 2026-09-10 13:10:08 UTC

More information about epkde at CRAN
Permanent link

New package infometrics with initial version 0.3.0
Package: infometrics
Title: Information-Theoretic Methods for Econometric Estimation
Version: 0.3.0
Date: 2026-08-29
Description: Implements the class of Information-Theoretic (IT) estimators for econometric models, following the unified framework of Golan (2008) <doi:10.1561/0800000004>. Provides Generalized Maximum Entropy (GME) and Generalized Cross-Entropy (GCE) estimators for linear regression, instrumental variables, one-way error-component panel data, multinomial response, matrix balancing, and first-order Markov transition matrices, together with pure and noisy inverse-problem solvers. All estimators use the concentrated (dual) formulation for computational efficiency and report normalized-entropy, entropy-ratio, and Fano-bound diagnostics.
License: GPL-3
URL: https://github.com/GenMaxEnt/infometrics_R
BugReports: https://github.com/GenMaxEnt/infometrics_R/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats
Suggests: bookdown, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-30 08:32:06 UTC; gnbtr
Author: Ganbaatar Jambal [aut, cre]
Maintainer: Ganbaatar Jambal <jg3169a@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 13:00:02 UTC

More information about infometrics at CRAN
Permanent link

New package RSEML with initial version 0.1.0
Package: RSEML
Title: Case-Based Least Squares Estimation of Nonlinear Structural Equation Models
Version: 0.1.0
Date: 2026-08-28
Description: Estimates structural equation models by case-based least squares: the latent scores of every observation are treated as free variables of a constrained optimization problem, so that arbitrary nonlinear model equations, bounds and constraints on latent variables and inequality constraints on parameters become possible. Model equations are specified as plain text (e.g. "y == a*exp(b*eta)"). Gradients are obtained by automatic differentiation via 'RTMB', and the constrained problem is solved with 'nloptr' (SLSQP or augmented Lagrangian). Missing data are handled case-wise. The methodology is described in Oldenburg (2024) <doi:10.19139/soic-2310-5070-1868> and Oldenburg (2025) <doi:10.19139/soic-2310-5070-2324>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: RTMB, nloptr, stats
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-08-29 12:48:31 UTC; root
Author: Reinhard Oldenburg [aut, cre]
Maintainer: Reinhard Oldenburg <reinhard.oldenburg@math.uni-augsburg.de>
Repository: CRAN
Date/Publication: 2026-09-10 09:20:12 UTC

More information about RSEML at CRAN
Permanent link

New package otter with initial version 0.1.0
Package: otter
Title: Ott's Utility Functions
Version: 0.1.0
Description: A growing collection of personal utility functions. Currently provides tools to parse Rich Text Format (RTF) files and extract their tables into data frames, automatically detecting header rows, merging multi-page tables, and resolving merged cells. Particularly useful for tables produced by SAS or by the 'r2rtf' package, which are commonly used for clinical trial and regulatory reporting.
License: MIT + file LICENSE
URL: https://github.com/ottvahtrik/otter, https://ottvahtrik.github.io/otter/
BugReports: https://github.com/ottvahtrik/otter/issues
Encoding: UTF-8
Suggests: lintr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-28 16:48:57 UTC; ottvahtrik
Author: Ott Vahtrik [aut, cre]
Maintainer: Ott Vahtrik <ott.vahtrik@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 09:20:02 UTC

More information about otter at CRAN
Permanent link

New package oesir with initial version 0.3.2
Package: oesir
Title: Online Sliced Inverse Regression for Elliptical Model with Streaming Data
Version: 0.3.2
Author: Sirui Yan [aut], Guangbao Guo [aut, cre]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Description: For high-dimensional streaming heavy-tailed elliptical data, traditional sliced inverse regression methods require full offline data and cannot adapt to incremental data arrival. This package implements Online Sliced Inverse Regression for Elliptical Model with Streaming Data (OE-SIR) algorithm with two recursive updating strategies, including offline batch SIR as benchmark, elliptical heavy-tailed data simulator, subspace evaluation metric and batch simulation tools for numerical experiments. Cai, Z., Li, R., & Zhu, L. (2020) <doi:10.48550/arXiv.2002.02795>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, Matrix, MASS
NeedsCompilation: no
Language: en-US
Packaged: 2026-08-05 09:27:43 UTC; Lenovo
Repository: CRAN
Date/Publication: 2026-09-10 09:20:08 UTC

More information about oesir at CRAN
Permanent link

New package cudaverse with initial version 0.4.1
Package: cudaverse
Title: Lightweight 'CUDA' Numerical Computing
Version: 0.4.1
Description: Provides a lightweight interface to graphics processing unit (GPU)-accelerated numerical computing using 'CUDA'. Dense tensors, sparse matrices, decompositions, distances, exact nearest neighbours, clustering, graph workflows, and embeddings share one consistent interface. The native backend discovers the 'NVIDIA CUDA Driver API', 'cuBLAS', and 'cuSOLVER' libraries at runtime without bundling 'LibTorch' or the 'CUDA Runtime'. Stage-level provenance records the backend, device, and data transfers used by each result. A portable implementation supports package validation on systems without 'CUDA'. Background for the included Leiden community detection and uniform manifold approximation and projection methods is given by Traag, Waltman and van Eck (2019) <doi:10.1038/s41598-019-41695-z> and McInnes et al. (2018) <doi:10.21105/joss.00861>, respectively.
License: MIT + file LICENSE
URL: https://cudaverse.github.io/cudaverse/, https://github.com/cudaverse/cudaverse
BugReports: https://github.com/cudaverse/cudaverse/issues
Encoding: UTF-8
Language: en-US
Imports: Matrix, methods, stats
Suggests: igraph (>= 2.0.0), knitr, rmarkdown, RSpectra, Rtsne, S4Vectors, SingleCellExperiment, testthat (>= 3.0.0), torch, uwot
VignetteBuilder: knitr
SystemRequirements: For GPU execution on Windows or Linux: NVIDIA CUDA-capable GPU, NVIDIA driver with CUDA Driver API, NVIDIA cuBLAS 12, and NVIDIA cuSOLVER 11
NeedsCompilation: yes
Packaged: 2026-08-29 06:34:48 UTC; Li
Author: Yaoxiang Li [aut, cre]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-10 09:30:02 UTC

More information about cudaverse at CRAN
Permanent link

New package AlleloBin with initial version 1.0.0
Package: AlleloBin
Title: A Shiny Application for Allele Binning in Microsatellite Markers
Version: 1.0.0
Description: Provides allele binning functionality for SSR/microsatellite markers using least-squares minimization (Idury & Cardon (1997) <doi:10.1101/gr.7.11.1104>). Includes a 'Shiny' application for interactive use, summary statistics, and visualization.
License: GPL-3
Encoding: UTF-8
Imports: shiny, readxl, stats, utils, openxlsx
Suggests: testthat (>= 3.0.0), roxygen2
URL: https://github.com/vpprasanth/AlleloBin
BugReports: https://github.com/vpprasanth/AlleloBin/issues
NeedsCompilation: no
Packaged: 2026-08-29 08:07:51 UTC; vppra
Author: VP Prasanth [aut, cre], Subhash Chandra [aut], DA Hoisington [aut], B Jayashree [aut]
Maintainer: VP Prasanth <prasanth.stat@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 09:10:02 UTC

More information about AlleloBin at CRAN
Permanent link

New package agriPAM with initial version 0.1.0
Package: agriPAM
Title: Agricultural Policy Analysis Matrix Toolkit
Version: 0.1.0
Description: Builds and analyses Policy Analysis Matrices ('PAMs') for agricultural production systems. Computes private and social profitability, policy transfers, the domestic resource cost ratio, nominal protection coefficients for outputs and inputs, the effective protection coefficient, the private cost ratio, the profitability coefficient, subsidy ratios, and social cost-benefit ratios. Supports itemised farm budgets, parity prices, grouped analysis, deterministic sensitivity analysis, switching values, and correlated Monte Carlo simulation. Methods follow Monke and Pearson (1989, ISBN:0801419530) and the Food and Agriculture Organization of the United Nations (2007, ISBN:9789251057476).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: graphics, grDevices, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Classification/JEL: Q12, Q18
NeedsCompilation: no
Packaged: 2026-08-29 20:12:24 UTC; majum
Author: Chiranjit Mazumder [aut, cre], Himadri Sekhar Roy [aut], Utkarsh Tiwari [aut], Pramit Pandit [aut], Bikramjeet Ghose [aut]
Maintainer: Chiranjit Mazumder <majumder.chira@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 09:30:09 UTC

More information about agriPAM at CRAN
Permanent link

New package aanova with initial version 1.0.1
Package: aanova
Title: Robust Ecological and Fisheries Data Analysis and Visualization
Version: 1.0.1
Description: A comprehensive statistical and visualization toolkit tailored for fisheries science, stock assessment workflows, and aquatic ecology. It provides streamlined wrappers for univariate and factorial ANOVA, ANCOVA, MANOVA, generalized linear models (GLMs) for count data, non-linear morphometric regressions, custom correlation heatmaps, and integrated Mantel test network linkages.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: RColorBrewer, dplyr, emmeans, ggplot2, ggpubr, multcomp, tidyr, stringr, MASS, vegan
Suggests: knitr, multcompView, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2026-08-29 20:52:15 UTC; User
Author: Ataher Ali [aut, cre]
Maintainer: Ataher Ali <ataher.cu.ms@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 09:30:15 UTC

More information about aanova at CRAN
Permanent link

New package socketR with initial version 1.0.4
Package: socketR
Title: POSIX Socket Programming for R
Version: 1.0.4
Description: Provides a small, type-safe interface to POSIX sockets on Linux.
License: Apache License (>= 2)
Encoding: UTF-8
SystemRequirements: Linux operating system with POSIX socket APIs and C++17 compiler
Imports: R6
Suggests: arrow, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://sassoftware.github.io/socketr/
BugReports: https://github.com/sassoftware/socketr/issues
NeedsCompilation: yes
Packaged: 2026-08-28 16:18:47 UTC; edhell
Author: Eduardo Hellas [aut, cre], SAS [cph, fnd]
Maintainer: Eduardo Hellas <ehellas@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 08:30:02 UTC

More information about socketR at CRAN
Permanent link

New package IndFarmCost with initial version 0.1.0
Package: IndFarmCost
Title: Indian Farm Cost Concepts for Agricultural Economic Analysis
Version: 0.1.0
Description: Implements commonly used Indian farm cost concepts for agricultural economic analysis, including Cost A1, A2, B1, B2, C1, C2, and C3. Tools are provided to calculate cost concepts from farm-level input data, aggregate costs across groups, summarize distributions, compute returns and benefit-cost ratios, estimate cost of production and break-even values, decompose cost shares, conduct one-way sensitivity analysis, and visualize concept-wise costs. The implementation is designed for reproducible farm management and cost-of-cultivation studies.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-28 14:57:35 UTC; majum
Author: Chiranjit Mazumder [aut, cre], Mrinmoy Ray [aut], Utkarsh Tiwari [aut]
Maintainer: Chiranjit Mazumder <majumder.chira@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 08:30:08 UTC

More information about IndFarmCost at CRAN
Permanent link

New package EpiQuestionR with initial version 0.1.1
Package: EpiQuestionR
Title: Questionnaire Analysis for Epidemiology and One Health Research
Version: 0.1.1
Description: Provides tools for the analysis of questionnaire and survey data in epidemiological and One Health research. The package supports data preparation, reliability assessment, exploratory factor analysis, Kaiser-Meyer-Olkin assessment, parallel analysis, visualization, reporting, and export of results using a consistent analysis workflow. The methods are based on established approaches to psychometric and multivariate analysis; see Kaiser (1974) <doi:10.1007/BF02291575>, Horn (1965) <doi:10.1007/BF02289447>, and Tabachnick and Fidell (2019, ISBN:9780134790541).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.3.0)
Imports: ggplot2, Matrix, graphics, lavaan, psych, stats, generics, withr, tibble
Suggests: broom, broom.helpers, car, corrplot, covr, dplyr, DT, flextable, forcats, gt, gtsummary, haven, janitor, knitr, leaflet, ltm, MASS, mirt, MBESS, nnet, officer, plotly, purrr, readr, readxl, rlang, rmarkdown, semPlot, sf, shiny, shinydashboard, spdep, spelling, stringr, testthat (>= 3.0.0), tidyr, tmap, e1071, jsonlite, openxlsx, reshape2, scales, yaml
VignetteBuilder: knitr
URL: https://github.com/vinodhpmd/EpiQuestionR
BugReports: https://github.com/vinodhpmd/EpiQuestionR/issues
NeedsCompilation: no
Packaged: 2026-08-29 04:03:20 UTC; m
Author: Vinodh Kumar Obli Rajendran [aut, cre] , Keerthi Aaradhana [aut]
Maintainer: Vinodh Kumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-10 09:00:18 UTC

More information about EpiQuestionR at CRAN
Permanent link

New package AHTauDesign with initial version 0.1.0
Package: AHTauDesign
Title: Truncation Time Selection for Average Hazard Analyses
Version: 0.1.0
Description: Implements a two-stage, design-informed framework for selecting the truncation time in time-to-event trials analyzed with the average hazard estimand, motivated by pediatric oncology settings with small samples, slow accrual, and limited follow-up. Stage 1 validates a clinically proposed truncation time against the planned design using simulation-based diagnostics for risk-set support, follow-up coverage, estimability, and estimator stability, classifying it as Pass, Borderline, or Fail. Stage 2 performs constrained optimization over a grid of candidate truncation times within a clinical-distance window, maximizing a utility subject to feasibility constraints, with an independent evaluation run to assess the selected time. Supports proportional-hazards, early-, and delayed-effect patterns, uniform accrual with administrative censoring, and calibrated exponential random censoring.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: survival, stats, utils
Suggests: ggplot2, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-25 04:01:27 UTC; xinyueyue
Author: Xinyue Zhao [aut, cre], Haitao Pan [aut]
Maintainer: Xinyue Zhao <xinyuezhao27@gwu.edu>
Repository: CRAN
Date/Publication: 2026-09-10 08:40:08 UTC

More information about AHTauDesign at CRAN
Permanent link

Wed, 09 Sep 2026

New package winning with initial version 0.3.0
Package: winning
Title: Contest Win Probabilities and Ability Calibration
Version: 0.3.0
Description: Solves the horse race problem in both directions. Infers relative ability from win probabilities (or betting dividends) for contests whose entrants share a common performance distribution, with dead heats handled exactly, by the lattice fixed-point algorithm of Cotton (2021) <doi:10.1137/19M1276261>. Also computes all N win probabilities of a factor-structured Gaussian race (multinomial probit with low-rank-plus-diagonal covariance) in one shared-lattice pass of O(Q*N*L) operations, and inverts observed shares to abilities by a damped Newton method with analytic slopes. A dependency-free base-R port of the reference python package 'winning'. Performances are times: lowest wins.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/microprediction/winning
BugReports: https://github.com/microprediction/winning/issues
Suggests: mvtnorm, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-27 16:41:35 UTC; petercotton
Author: Peter Cotton [aut, cre]
Maintainer: Peter Cotton <peter.cotton@microprediction.com>
Repository: CRAN
Date/Publication: 2026-09-09 16:30:02 UTC

More information about winning at CRAN
Permanent link

New package shinygenui with initial version 0.1.0
Package: shinygenui
Title: Generative UI for 'shiny'
Version: 0.1.0
Description: Build interactive user interfaces for 'shiny' applications through a conversation with a large language model (LLM). Developers choose a set of reusable components, and the model arranges and updates those components as the user describes what they need. Each component's inputs are checked before it is shown, and the model supplies data rather than executable code. Applications can also save and replay the sequence of interface changes without contacting a model. For background on generative user interfaces, see Leviathan et al. (2026) <doi:10.48550/arXiv.2604.09577>.
License: MIT + file LICENSE
URL: https://nanx.me/shinygenui/, https://github.com/nanxstats/shinygenui
BugReports: https://github.com/nanxstats/shinygenui/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: bslib, cli, ellmer (>= 0.4.0), htmltools, jsonlite, promises, R6, rlang, shiny, shinychat (>= 0.4.0), stats, utils, whisker
Suggests: DT, ggplot2, knitr, rmarkdown, shinytest2, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-28 05:07:02 UTC; nanx
Author: Nan Xiao [aut, cre, cph]
Maintainer: Nan Xiao <me@nanx.me>
Repository: CRAN
Date/Publication: 2026-09-09 16:40:02 UTC

More information about shinygenui at CRAN
Permanent link

New package rvisual with initial version 0.1.1
Package: rvisual
Title: Visual Data Analysis 'RStudio' 'Addin' with AI Copilot
Version: 0.1.1
Description: An 'RStudio' 'addin' providing a visual, point-and-click interface for data manipulation and analysis, designed for users transitioning from 'SPSS' to R. Every visual action generates clean, reproducible R code using 'tidyverse' conventions ('dplyr', 'tidyr'). Includes a context-aware AI copilot supporting multiple 'LLM' providers ('OpenAI', 'Anthropic' Claude, 'Google Gemini') with built-in proxy support and privacy controls.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Imports: shiny (>= 1.7.0), rstudioapi (>= 0.13), bslib (>= 0.5.0), htmltools, DT (>= 0.28), dplyr (>= 1.1.0), readxl (>= 1.4.0), jsonlite (>= 1.8.0), httr2 (>= 0.2.3), glue (>= 1.6.0), rlang (>= 1.1.0), DBI (>= 1.1.0), tools, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, haven, readr, writexl, RPostgres, RMySQL, ROracle, RSQLite, odbc
URL: https://github.com/facszero/rvisual
BugReports: https://github.com/facszero/rvisual/issues
NeedsCompilation: no
Packaged: 2026-08-28 14:49:25 UTC; fcanete
Author: Fernando Canete [aut, cre]
Maintainer: Fernando Canete <facs.zero@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 16:50:02 UTC

More information about rvisual at CRAN
Permanent link

New package NLIN with initial version 0.1.0
Package: NLIN
Title: Critical Points for Nonlinear Growth Models
Version: 0.1.0
Description: Computes analytical critical points for nonlinear growth models from known parameter values.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
URL: https://github.com/helleensilvaa/NLIN
BugReports: https://github.com/helleensilvaa/NLIN/issues
NeedsCompilation: no
Packaged: 2026-08-27 18:52:35 UTC; helle
Author: Hellen Sonaly Silva Alves [aut, cre]
Maintainer: Hellen Sonaly Silva Alves <hellensilva.estat@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 16:30:07 UTC

More information about NLIN at CRAN
Permanent link

New package HDElliptical with initial version 0.1.2
Package: HDElliptical
Title: High-Dimensional Methods for Elliptically Symmetric Distributions
Version: 0.1.2
Description: Fast, documented implementations of robust estimation, testing, dimension reduction, classification, and clustering methods for high-dimensional elliptically symmetric data. Computational kernels use 'Rcpp' and 'RcppArmadillo'. The package follows methods reviewed in Feng (2026), "High-Dimensional Data Analysis for Elliptically Symmetric Distributions" <https://github.com/flnankai/HDElliptical/releases>.
License: MIT + file LICENSE
URL: https://github.com/flnankai/HDElliptical
BugReports: https://github.com/flnankai/HDElliptical/issues
Depends: R (>= 4.2.0)
Imports: mvtnorm, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
SystemRequirements: C++17
Packaged: 2026-08-27 14:42:59 UTC; flnankai
Author: Long Feng [aut, cre, cph] , Dan Zhuang [ctb]
Maintainer: Long Feng <flnankai@nankai.edu.cn>
Repository: CRAN
Date/Publication: 2026-09-09 16:30:14 UTC

More information about HDElliptical at CRAN
Permanent link

New package datacaged with initial version 0.2.1
Package: datacaged
Title: CAGED Microdata Download and Storage in 'DuckDB'
Version: 0.2.1
Description: Tools to download, parse, and store Brazilian CAGED (Cadastro Geral de Empregados e Desempregados) microdata using 'DuckDB'. Supports both legacy CAGED (pre-2020), Novo CAGED (2020+), and adjustment files, enabling efficient local storage and analysis workflows. Data is sourced from the HuggingFace repository <https://huggingface.co/datasets/alexsandroprado/caged>.
SystemRequirements: 7-Zip (optional, required for PPMd-compressed files from CAGED antigo and CAGED Ajustes)
Depends: R (>= 4.2.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
Date: 2026-08-26
Imports: archive, cli, DBI, dplyr, duckdb, future, furrr, glue, httr2 (>= 1.0.0), progressr, purrr, readr (>= 2.1.0), stringr, tibble, tools, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, dbplyr
VignetteBuilder: knitr
URL: https://github.com/gecomt/datacaged
BugReports: https://github.com/gecomt/datacaged/issues
NeedsCompilation: no
Packaged: 2026-08-27 21:57:03 UTC; alexsandro
Author: Alexsandro Prado [aut, cre]
Maintainer: Alexsandro Prado <alexsandro.prado@ufersa.edu.br>
Repository: CRAN
Date/Publication: 2026-09-09 16:40:07 UTC

More information about datacaged at CRAN
Permanent link

New package BOLDNODE with initial version 1.0.0
Package: BOLDNODE
Title: Search and Explore BOLD Data Packages Efficiently
Version: 1.0.0
Description: Provides efficient tools for exploring and transforming the Barcode of Life Data Systems (BOLD) data packages on local machines. It enables fast local querying of the data packages without relying on live API calls. Results can be easily converted into formats compatible with widely used R packages and third party tools.
License: CC BY 4.0
Encoding: UTF-8
Imports: data.table, DBI, dbplyr, dplyr, duckdb, progressr, rlang, sf, tidyr
Suggests: ape, Biostrings, BiocManager, knitr, rmarkdown, DT, ggplot2, ggrepel, maps, muscle, pak, phangorn, tibble, vegan
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-27 19:13:48 UTC; sameerpadhye
Author: Sameer Padhye [aut, cre], Spencer K. Monckton [aut], Dirk Steinke [ctb], Jireh Agda [ctb], Teresita M. Porter [ctb]
Maintainer: Sameer Padhye <spadhye@uoguelph.ca>
Repository: CRAN
Date/Publication: 2026-09-09 16:30:31 UTC

More information about BOLDNODE at CRAN
Permanent link

New package xaci with initial version 0.1.0
Package: xaci
Title: Actuarial Climate Index
Version: 0.1.0
Description: Computes the Actuarial Climate Index (ACI) and its components (temperature, precipitation, drought, wind, sea level) from gridded climate data ('NetCDF') and tide gauge records. Implements the methodology described in Garrido, Milhaud & Olympio (2025) <https://hal.science/hal-04491982v2> for a French/European actuarial climate index, building on the American Academy of Actuaries framework, to any country in the world.
License: MIT + file LICENSE
URL: https://github.com/XavierMilhaud/xaci
BugReports: https://github.com/XavierMilhaud/xaci/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ncdf4 (>= 1.19), dplyr (>= 1.1), zoo (>= 1.8), readr (>= 2.1), ggplot2 (>= 3.4.0), tidyr, sf, rnaturalearth, geodata, terra, units, parallel
Suggests: testthat (>= 3.0.0), patchwork (>= 1.1.0), ecmwfr (>= 2.0.0), rnaturalearthdata, gganimate, gifski, knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-08-13 12:09:40 UTC; XM
Author: Xavier Milhaud [aut, cre, ctb], Dabakh Kane [ctb], Esteban Mauboussin [ctb]
Maintainer: Xavier Milhaud <xavier.milhaud.research@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 15:20:02 UTC

More information about xaci at CRAN
Permanent link

New package tulpa with initial version 0.2.0
Package: tulpa
Title: Template Unified Latent Process Architecture for Bayesian Hierarchical Models
Version: 0.2.0
Description: A general-purpose engine for fitting Bayesian hierarchical models with spatial fields, temporal effects, spatially varying coefficients, and multiple inference backends. Scalable spatial structure includes Hilbert space approximate Gaussian processes (HSGP; Riutort-Mayol et al. 2023 <doi:10.1007/s11222-022-10167-2>), nearest-neighbor Gaussian processes (NNGP; Datta et al. 2016 <doi:10.1080/01621459.2015.1044091>), intrinsic conditional autoregressive models (ICAR; Besag, York, and Mollie 1991 <doi:10.1007/BF00116466>), the reparameterized Besag-York-Mollie model (BYM2; Riebler et al. 2016 <doi:10.1177/0962280216660421>), and stochastic partial differential equation fields (SPDE; Lindgren, Rue, and Lindstrom 2011 <doi:10.1111/j.1467-9868.2011.00777.x>). Temporal structure covers random walks, autoregressive processes, and Gaussian processes. Inference is tiered by correctness guarantee: exact Hamiltonian Monte Carlo with the No-U-Turn sampler, Laplace and n [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
SystemRequirements: C++17
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.12), Matrix, tulpaMesh (>= 0.1.3), generics, lifecycle, stats, tools, utils, methods, graphics, grDevices
Suggests: testthat (>= 3.0.0), bayesplot, ggplot2, sf, terra, knitr, rmarkdown, posterior (>= 1.5.0), loo (>= 2.7.0), rstantools, lme4, nlme, lmtest, numDeriv, spdep, MASS, betareg, glmmTMB, pscl, tweedie, fmesher, patchwork, stars, statmod, withr
LinkingTo: Rcpp, RcppEigen, Matrix
VignetteBuilder: knitr
URL: https://github.com/gcol33/tulpa, https://gillescolling.com/tulpa/
BugReports: https://github.com/gcol33/tulpa/issues
NeedsCompilation: yes
Packaged: 2026-08-27 23:30:17 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph] , Frances Y. Kuo [ctb, cph] , Stephen Joe [ctb, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 15:30:02 UTC

More information about tulpa at CRAN
Permanent link

New package SpatMix with initial version 0.1.0
Package: SpatMix
Title: Spatial Mixture Models for Clustering
Version: 0.1.0
Description: Fits spatial mixture models, including spatial Gaussian mixtures and mixtures of spatial factor analyzers, to complete or incomplete data. Spatial decay can be represented by monotone I-splines or a normalized sigmoid. Missing entries are handled using a built-in partial expectation-maximization procedure for matrix-variate data. The spatial covariance and spatial factor analyzer models are described in Lu and colleagues (2026a) "Spatial Covariance Constraints for Gaussian Mixture Models" <doi:10.48550/arXiv.2601.07979> and Lu and colleagues (2026b) "Mixtures of spatial factor analyzers for tensor-variate data" <doi:10.48550/arXiv.2607.07887>.
License: MIT + file LICENSE
URL: https://github.com/LHZMix/SpatMix
BugReports: https://github.com/LHZMix/SpatMix/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: MASS, matrixStats, Rcpp, splines2, stats, withr
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-08-27 23:20:46 UTC; Hanzhang
Author: Hanzhang Lu [aut, cre], Jeffrey L. Andrews [aut, ths]
Maintainer: Hanzhang Lu <hanzhang.lu@ubc.ca>
Repository: CRAN
Date/Publication: 2026-09-09 15:30:19 UTC

More information about SpatMix at CRAN
Permanent link

New package PricingBandits with initial version 2.0.0
Package: PricingBandits
Title: Multi-Armed Bandit Approaches to Pricing Experiments
Version: 2.0.0
Description: Implements multi-armed bandit approaches for pricing experiments with an unknown demand curve, as developed in Weaver, Kumar, and Jain, "Nonparametric Pricing Bandits Leveraging Informational Externalities to Learn the Demand Curve" <doi:10.1287/mksc.2022.0247>. Includes Upper Confidence Bound (UCB) and Thompson Sampling (TS) baselines, Gaussian process variants ('GP-UCB', 'GP-TS'), monotonic Gaussian process variants that constrain demand to be weakly decreasing in price, and heterogeneous-noise extensions. The willingness-to-pay distribution is fully user-specified via a vector of consumer valuations, so any demand environment can be simulated or replayed.
License: MIT + file LICENSE
URL: https://github.com/ian-weaver/PricingBandits
BugReports: https://github.com/ian-weaver/PricingBandits/issues
Encoding: UTF-8
Imports: stats, Matrix, hash, nloptr, MASS, dplyr, TruncatedNormal, R.utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-27 09:08:30 UTC; ithew
Author: Ian N. Weaver [aut, cre], Vineet Kumar [aut], Lalit Jain [aut]
Maintainer: Ian N. Weaver <weaver.n.ian@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-09-09 14:30:02 UTC

More information about PricingBandits at CRAN
Permanent link

New package FeNEU with initial version 3.0.2
Package: FeNEU
Title: Routines for Evaluating Forest Inventory Data
Version: 3.0.2
Date: 2026-08-27
Description: Provides a collection of routines for evaluating data from larger forest management units, typically sample inventories, but also stand-wise inventories. The idea is to support modern forest planning approaches and to be open by design to new data sources and evaluation methods. For the methodological background of forest inventories see Kangas and Maltamo (2006) "Forest Inventory: Methodology and Applications" <doi:10.1007/1-4020-4381-3>.
License: AGPL (>= 3)
Encoding: UTF-8
Imports: tibble, dplyr, purrr, rlang, Rdpack, tidyr, readr, ggplot2, tidyselect (>= 1.2.0), foreach, doSNOW, lifecycle, parallel, progressr, stringr, stringdist, sf
Depends: R (>= 4.4), ForestElementsR (>= 3.0.0)
Suggests: knitr, kableExtra, rmarkdown, tinytex, testthat (>= 3.0.0)
SystemRequirements: pandoc (>= 1.12.3) and a LaTeX distribution (e.g. TinyTeX, see ?tinytex::install_tinytex) with the booktabs, longtable, siunitx, and makecell LaTeX packages are required for the *_pdf() output functions.
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-27 16:15:25 UTC; casto
Author: Peter Biber [aut, cre] , Astor Torano Caicoya [aut]
Maintainer: Peter Biber <peter.biber@lwf.bayern.de>
Repository: CRAN
Date/Publication: 2026-09-09 15:00:10 UTC

More information about FeNEU at CRAN
Permanent link

New package farmPartial with initial version 0.1.0
Package: farmPartial
Title: Tools for Farm Partial-Budget Analysis
Version: 0.1.0
Description: Provides tools for evaluating the incremental economic consequences of a proposed farm-management change using partial-budget logic. Functions organize added returns, reduced costs, added costs, and reduced returns; compare baseline and alternative budgets; calculate net changes and marginal rates of return; conduct one- and two-way sensitivity, scenario, break-even, dominance, marginal, and Monte Carlo uncertainty analyses; and convert capital changes to annual equivalents. The framework follows the approach described by the International Maize and Wheat Improvement Center (1988, ISBN: 968-6127-19-4) for farm-management, extension, and on-farm research.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: graphics, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-27 10:24:01 UTC; majum
Author: Chiranjit Mazumder [aut, cre, cph], Utkarsh Tiwari [aut, cph], Anbukkani Perumal [aut, cph]
Maintainer: Chiranjit Mazumder <chiranjit@iari.res.in>
Repository: CRAN
Date/Publication: 2026-09-09 14:40:10 UTC

More information about farmPartial at CRAN
Permanent link

New package erplots with initial version 0.1.2
Package: erplots
Title: Model-Agnostic Exposure-Response Plots
Version: 0.1.2
Description: Provides a fluent mini-language for building exposure-response plots (model curves/ribbons, quantile-binned summaries, data strips, and grouped distribution panels) from observed data and a fitted exposure-response model. Designed to be model-agnostic: any model object that implements the er_predict() generic (and, optionally, er_simulate() and er_summary()) can be visualised.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Imports: dplyr (>= 1.1.0), ggplot2 (>= 4.0.0), patchwork (>= 1.3.2), purrr, rlang, scales, stats, tibble, tidyselect, withr
Suggests: erglm, hexbin, knitr, MASS, mvtnorm, rmarkdown, spelling, testthat (>= 3.0.0)
URL: https://github.com/djnavarro/erplots, https://erplots.djnavarro.net/
BugReports: https://github.com/djnavarro/erplots/issues
Depends: R (>= 4.1.0)
LazyData: true
Language: en-GB
NeedsCompilation: no
Packaged: 2026-08-27 12:29:52 UTC; danielle
Author: Danielle Navarro [aut, cre]
Maintainer: Danielle Navarro <djnavarro@protonmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 15:00:02 UTC

More information about erplots at CRAN
Permanent link

New package ERBioR with initial version 0.9.0
Package: ERBioR
Title: Reproducible Occupational Biological Risk Assessment with the ERBio Method
Version: 0.9.0
Description: A source-traceable computational implementation of the ERBio method for occupational biological risk assessment. It provides deterministic risk calculation, versioned questionnaires, a scientifically audited regulatory biological-agent registry, workplace-level assessment, preventive planning outputs, bilingual Spanish-English functionality and reproducible reports. The software preserves a single language-neutral calculation core and keeps method-faithful components distinct from explicit computational extensions. The underlying ERBio method was developed by Aguilar-Elena and is described in Aguilar-Elena (2015) <doi:10.5281/zenodo.22107465>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: utils
Suggests: testthat (>= 3.0.0), shiny, DT, readxl, openxlsx
NeedsCompilation: no
Packaged: 2026-08-27 15:21:38 UTC; okashi
Author: Raul Aguilar-Elena [aut, cre] , Ana Delgado-Garcia [aut]
Maintainer: Raul Aguilar-Elena <raguilar@universidadviu.com>
Repository: CRAN
Date/Publication: 2026-09-09 14:50:26 UTC

More information about ERBioR at CRAN
Permanent link

New package epistandardiseR with initial version 0.0.2
Package: epistandardiseR
Title: Tools for Direct Standardisation with Confidence Intervals
Version: 0.0.2
Description: Provides tools to compute directly standardised rates using the 2013 European Standard Population for age and deprivation-standardised rates using a 10% per decile assumption. Sex standardisation uses an assumed equal proportion of both males and females. The package Includes variance estimation and 95% confidence intervals for population health applications. Functions support flexible grouping variables and age bands, enabling reproducible and automated analyses.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, rlang, magrittr, stats, tidyr
Depends: R (>= 3.5)
URL: https://github.com/JoeBlackford/epistandardiseR
BugReports: https://github.com/JoeBlackford/epistandardiseR/issues
NeedsCompilation: no
Packaged: 2026-08-28 08:39:04 UTC; Joe.Blackford
Author: Joe Blackford [aut, cre]
Maintainer: Joe Blackford <joseph.blackford@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-09 14:40:16 UTC

More information about epistandardiseR at CRAN
Permanent link

New package ducklake with initial version 0.6.0
Package: ducklake
Title: Interact with 'DuckLake' from R
Version: 0.6.0
Description: A 'tidyverse'-friendly interface to 'DuckLake' <https://ducklake.select/>, the 'DuckDB' lakehouse format. Attach versioned data lakes from R and work with them using familiar 'dplyr' verbs, with support for ACID transactions, time travel queries, snapshot audit trails, data inlining, encrypted storage, multiple catalog backends ('DuckDB', 'PostgreSQL', 'SQLite', 'MySQL'), and remote access over the 'Quack' protocol from 'DuckDB'.
License: MIT + file LICENSE
URL: https://tgerke.github.io/ducklake-r/, https://github.com/tgerke/ducklake-r
BugReports: https://github.com/tgerke/ducklake-r/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, DBI, dbplyr (>= 2.5.0), dplyr, duckdb (>= 1.5.1)
Suggests: admiral, DiagrammeR, fs, ggplot2, jsonlite, knitr, lubridate, pharmaversesdtm, purrr, rmarkdown, spelling, stringr, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-08-27 14:26:06 UTC; tgerke
Author: Travis Gerke [aut, cre], Stefan Linner [ctb], Javier Orraca-Deatcu [ctb]
Maintainer: Travis Gerke <travisgerke@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 14:50:02 UTC

More information about ducklake at CRAN
Permanent link

New package cfbseedR with initial version 0.2.0
Package: cfbseedR
Title: Simulate and Evaluate College Football Seasons
Version: 0.2.0
Description: Simulate college football seasons and compute standings, conference ranks, conference champions, and College Football Playoff (CFP) seeds. Implements the official season-scoped championship-game tiebreaker procedure of each Football Bowl Subdivision (FBS) conference and the CFP's season-keyed automatic-qualifier policies, including the 2026 formats. Seasons are simulated week by week with a pluggable results generator, and external tiebreaker inputs such as committee rankings or analytics composites can be supplied. Adapts the approach of the 'nflseedR' package by Sebastian Carl and Lee Sharpe to college football semantics.
License: MIT + file LICENSE
URL: https://cfbseedR.sportsdataverse.org, https://github.com/sportsdataverse/cfbseedR
BugReports: https://github.com/sportsdataverse/cfbseedR/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr (>= 1.1.0), furrr, future, progressr, purrr, rlang, stats, tibble, tidyr, utils
Suggests: cfbfastR, gt (>= 0.9.0), knitr, rmarkdown, scales (>= 1.2.0), testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-27 11:12:56 UTC; saiem
Author: Saiem Gilani [cre, aut, cph] , Sebastian Carl [aut] , Lee Sharpe [aut]
Maintainer: Saiem Gilani <saiem.gilani@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 14:50:11 UTC

More information about cfbseedR at CRAN
Permanent link

New package apsimeval with initial version 0.1.0
Package: apsimeval
Title: Evaluation, Visualisation and Sensitivity Analysis of 'APSIM' Classic Output
Version: 0.1.0
Description: Reads Agricultural Production Systems sIMulator ('APSIM') Classic 7.x '.out' files, pairs simulated series with sparse observed measurements, and computes the goodness-of-fit statistics used in crop-model calibration and validation, including the decomposition of root mean squared error into systematic and unsystematic components. Produces publication grade figures with 'ggplot2': one-to-one scatter plots, residual and Taylor diagrams, probability of exceedance curves, multi-variable timelines with a secondary axis, and distribution plots, assembled into multi-panel figures at journal column widths in colour, greyscale or line art. Treatment structure encoded in simulation names is parsed into factor columns, and the sensitivity of an output to those factors is quantified by variance decomposition, one-at-a-time analysis or range screening. A built-in 'shiny' interface watches the output directory and refreshes incrementally as 'APSIM' regenerates its files.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), stats, utils, tools, grDevices
Suggests: patchwork, shiny, DT, bslib, yaml, readxl, multcompView, testthat (>= 3.0.0), knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2026-08-27 07:30:59 UTC; root
Author: Sukamal Sarkar [aut, cre]
Maintainer: Sukamal Sarkar <sukamal.sarkar@gm.rkmvu.ac.in>
Repository: CRAN
Date/Publication: 2026-09-09 14:10:24 UTC

More information about apsimeval at CRAN
Permanent link

New package agriME with initial version 0.1.0
Package: agriME
Title: Agricultural Marketing Efficiency and Price Spread Analysis
Version: 0.1.0
Description: Provides reproducible tools for analysing agricultural marketing channels, price spread, the producer's share in the consumer price, intermediary costs and margins, and alternative indices of marketing efficiency. Implements conventional, Shepherd, and Acharya measures; validates stage-level channel accounts; compares and ranks channels; and supplies bootstrap confidence intervals, scenario sensitivity analysis, loss-adjusted margins, break-even calculations, and base-graphics methods. Methodological context is provided by Acharya and Agarwal (2021, ISBN:9789389688061) and Shepherd (2007) <https://www.fao.org/4/u8770e/u8770e00.htm>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
NeedsCompilation: no
Imports: stats
Packaged: 2026-08-27 09:23:23 UTC; majum
Author: Chiranjit Mazumder [aut, cre], Bikramjeet Ghose [aut], Pramit Pandit [aut]
Maintainer: Chiranjit Mazumder <chiranjit@iari.res.in>
Repository: CRAN
Date/Publication: 2026-09-09 14:20:08 UTC

More information about agriME at CRAN
Permanent link

New package uroscores with initial version 0.1.0
Package: uroscores
Title: Scoring Tools for Urology and Pelvic Health Research Instruments
Version: 0.1.0
Description: Scores standardized patient-reported instruments used in urology and pelvic health research, including the International Prostate Symptom Score (Barry et al., 1992), the Overactive Bladder Symptom Score (Homma et al., 2006) <doi:10.1016/j.urology.2006.02.042>, the O'Leary-Sant interstitial cystitis indices, the short forms of the Urogenital Distress Inventory and the Incontinence Impact Questionnaire (Uebersax et al., 1995) <doi:10.1002/nau.1930140206>, the Sandvik incontinence severity index, and the Benign Prostatic Hyperplasia Impact Index. Instruments are declarative definitions read by a single scoring engine. Responses are checked against the permitted value set of each item, missing items follow the published rule for the instrument or return NA when none was published, severity bands are assigned by membership, and published minimal important difference statistics are included for responder analyses.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/faizamirullah/uroscores
BugReports: https://github.com/faizamirullah/uroscores/issues
NeedsCompilation: no
Packaged: 2026-08-26 15:49:42 UTC; root
Author: Muhammad Faiz Amirullah Nurhadi [aut, cre]
Maintainer: Muhammad Faiz Amirullah Nurhadi <faizamirullah@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 13:00:02 UTC

More information about uroscores at CRAN
Permanent link

New package nlmixr2utils with initial version 0.3.1
Package: nlmixr2utils
Title: Shared Infrastructure for 'nlmixr2' Extension Packages
Version: 0.3.1
Description: Provides shared worker-plan helpers, covariance utilities, model reexports, equation rendering methods, and package data used by the split 'nlmixr2' extension packages, including 'nlmixr2boot', 'nlmixr2llp', 'nlmixr2scm', and 'nlmixr2sir'. These helpers give the extension packages a common canonical raw-results schema, run-cache and seeding infrastructure, and equation-printing methods so that each extension package does not need to reimplement this shared functionality separately.
Depends: R (>= 4.0)
License: GPL (>= 3)
URL: https://github.com/nlmixr2/nlmixr2utils
BugReports: https://github.com/nlmixr2/nlmixr2utils/issues
Imports: cli (>= 3.4.0), future, future.apply, jsonlite, knitr, methods, nlmixr2est (>= 5.0.0), parallel, rxode2 (>= 5.0.0)
Suggests: nlmixr2data, progressr, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-27 06:30:21 UTC; justin
Author: Justin Wilkins [aut, cre, cph] , Matthew Fidler [aut] , Vipul Mann [aut], Vishal Sarsani [aut] , Christian Bartels [ctb], Bill Denney [aut]
Maintainer: Justin Wilkins <justin.wilkins@occams.com>
Repository: CRAN
Date/Publication: 2026-09-09 12:30:02 UTC

More information about nlmixr2utils at CRAN
Permanent link

New package CLIQUE with initial version 1.0.0
Package: CLIQUE
Title: Conditional Local Importance by Quantile Expectations
Version: 1.0.0
Description: Provides methods for interpretable machine learning with an emphasis on local feature importance estimation. The package implements the CLIQUE framework for computing observation-level importance values. Additional tools are included for visualizing multi-class partial dependence relationships across predictors and response classes.
License: GPL-3
URL: https://github.com/KelvynBladen/CLIQUE
Depends: R (>= 4.1.0)
Imports: caret, dplyr, fastDummies, future, future.apply, stats, tidyr, ggplot2, ggh4x, randomForest, rlang, pdp
Suggests: testthat (>= 3.0.0), datasets
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-27 06:45:02 UTC; kelvy
Author: Kelvyn Bladen [aut, cre] , Adele Cutler [aut], D. Richard Cutler [aut], Kevin R. Moon [aut]
Maintainer: Kelvyn Bladen <kelvyn.bladen@usu.edu>
Repository: CRAN
Date/Publication: 2026-09-09 12:40:23 UTC

More information about CLIQUE at CRAN
Permanent link

New package linkagg with initial version 0.1.0
Package: linkagg
Title: Linked Selection Across Aggregate Views
Version: 0.1.0
Description: Brush a row-level display and see aggregate displays fill in proportion to the rows selected, with the row-to-group mapping retained. Aggregate views such as bar charts summarise many rows into one mark, so a selection made on individual rows is resolved back through the row to group mapping to fill each mark partially. Output is an 'htmlwidget' that works inside 'shiny' or as a single self-contained HTML file with no server, so an interactive figure can be archived or shared like a static one.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: utils, htmlwidgets (>= 1.6.0)
Suggests: shiny (>= 1.7.0), bslib (>= 0.5.0), testthat (>= 3.0.0), htmltools, survival, pharmaverseadam
URL: https://github.com/renit12345-ship-it/linkagg
BugReports: https://github.com/renit12345-ship-it/linkagg/issues
NeedsCompilation: no
Packaged: 2026-08-21 13:26:01 UTC; kimi
Author: Renit Anthony [aut, cre], Mike Bostock [ctb, cph]
Maintainer: Renit Anthony <renit12345@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 12:00:02 UTC

More information about linkagg at CRAN
Permanent link

New package tidycjk with initial version 0.1.0
Package: tidycjk
Title: Tidy Tools for Chinese, Japanese and Korean Text
Version: 0.1.0
Description: A tidy toolkit for text that is written in Chinese, Japanese or Korean. Most text tooling in R assumes that words are separated by whitespace, which CJK writing does not use, so ordinary summaries of a text column either treat a sentence as one undifferentiated blob or split it into isolated characters. Word segmentation is therefore a pluggable engine that the caller names explicitly rather than a bundled dictionary, because where a word ends is a fact about a language and not about Unicode. 'tidycjk' classifies characters by Unicode block, reports which script and which language a text is written in, measures how much of a text is CJK, and turns those measurements into tibbles that slot straight into a 'tidyverse' workflow. It also measures display width in terminal columns, pads and truncates to a width rather than to a character count, and normalises fullwidth and halfwidth forms surgically -- including composing halfwidth katakana voiced marks into single code points -- without th [...truncated...]
License: GPL (>= 3)
URL: https://pursuitofdatascience.github.io/tidyckj/, https://github.com/PursuitOfDataScience/tidyckj
BugReports: https://github.com/PursuitOfDataScience/tidyckj/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 3.5.0)
Imports: dplyr (>= 1.1.0), stringi, tibble, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-27 00:38:41 UTC; youzhi
Author: Youzhi Yu [aut, cre]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>
Repository: CRAN
Date/Publication: 2026-09-09 10:20:02 UTC

More information about tidycjk at CRAN
Permanent link

New package georefar with initial version 0.1.0
Package: georefar
Title: Wrapper for the Argentine 'Georef' Geocoding API
Version: 0.1.0
Description: Query the Argentine national geographic normalization service 'georef' <https://apis.datos.gob.ar/georef> from R, searching provinces, departments, municipalities, localities, settlements, census units, streets and educational institutions, normalizing addresses and performing reverse geocoding. Results are returned as data frames, and batch queries can be sent in a single request.
License: GPL-3
URL: https://github.com/datosgobar/georefar
BugReports: https://github.com/datosgobar/georefar/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: assertthat, curl, dplyr, httr2, jsonlite, purrr
Suggests: mockery, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-08-26 18:46:41 UTC; Julian
Author: Julian Echandi [aut, cre], Alen Carbajal [aut]
Maintainer: Julian Echandi <jechandi.gobar@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-09 09:20:02 UTC

More information about georefar at CRAN
Permanent link

New package FuzzyLogit with initial version 0.1.1
Package: FuzzyLogit
Title: Fuzzy Logistic Regression
Version: 0.1.1
Description: Fits logistic regression models in which the binary response is represented by a triangular fuzzy number rather than an exact crisp label, allowing uncertainty in class membership to be encoded directly in the outcome. Model parameters are estimated using the Fuzzy Least Squares approach of Diamond (1988) <doi:10.1016/0020-0255(88)90047-3>, following the integrated fuzzy logistic regression method of Yapici Pehlivan and Sahin (2018) <https://dergipark.org.tr/en/pub/jssa/issue/37877/437725>. Provides fitting, prediction, classification, cross-validation, and diagnostic plotting methods, along with tools for comparing model behaviour across different assumed levels of label uncertainty.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, dplyr, tidyr, ggplot2, MASS
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-26 21:38:22 UTC; LENOVO
Author: Md Faruk Hasan [aut, cre], Azizur Rahman [aut]
Maintainer: Md Faruk Hasan <md_faruk_hasan@sfu.ca>
Repository: CRAN
Date/Publication: 2026-09-09 09:40:14 UTC

More information about FuzzyLogit at CRAN
Permanent link

Tue, 08 Sep 2026

New package spatcovar with initial version 0.1.0
Package: spatcovar
Title: Construct Spatial Covariates from Polygon Data
Version: 0.1.0
Description: Provides a consistent interface for constructing commonly used spatial covariates from polygon data. Computes polygon areas, distances to reference features, point and line intersection counts, line lengths within polygons, polygon overlap areas and shares, and raster zonal summaries. Handles coordinate reference system validation, geometry repair, unit conversion, row preservation, and standardised missing value semantics while relying on established spatial libraries for the underlying geometry operations.
License: MIT + file LICENSE
URL: https://github.com/emre-cebeci/spatcovar
BugReports: https://github.com/emre-cebeci/spatcovar/issues
Encoding: UTF-8
Imports: exactextractr (>= 0.9.0), sf (>= 1.0.0), terra, units
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-26 01:53:51 UTC; emrecebeci
Author: Emre Cebeci [aut, cre]
Maintainer: Emre Cebeci <cebeciemre1@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:30:02 UTC

More information about spatcovar at CRAN
Permanent link

New package PseudoVoigtMixt with initial version 0.1.0
Package: PseudoVoigtMixt
Title: Multivariate Pseudo-Voigt Mixture Models
Version: 0.1.0
Description: Fits multivariate pseudo-Voigt mixture models for model-based clustering and outlier detection. The model combines multivariate Gaussian and Cauchy distributions within each cluster to accommodate heavy-tailed observations and decompose the data into a high-density region and a low-density remainder, with outliers more likely to arise from the latter.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: MASS, tclust
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-25 21:47:44 UTC; babakdehkordi
Author: Babak Fathollahi Dehkordi [aut, cre], Jeffery Andrews [aut, ths]
Maintainer: Babak Fathollahi Dehkordi <babak.dehkordi.f@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:20:15 UTC

More information about PseudoVoigtMixt at CRAN
Permanent link

New package pressfreedom with initial version 0.2.0
Package: pressfreedom
Title: Press Freedom Dashboard
Version: 0.2.0
Date: 2026-08-25
Description: A Shiny dashboard for exploring Reporters Without Borders (RWB) Press Freedom Index data from 2002 to the present. Combines RWB scores with United Nations M49 geographic classifications to enable comparisons across countries, regions, and time.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: pressfreedom.data (>= 0.3.0), shiny, bslib, dplyr, plotly, ggplot2, htmlwidgets, RColorBrewer, countrycode, tidyr, purrr
Suggests: pkgdown, testthat (>= 3.0.0)
URL: https://github.com/petzi53/pressfreedom, https://www.peter-baumgartner.net/pressfreedom/
BugReports: https://github.com/petzi53/pressfreedom/issues
NeedsCompilation: no
Packaged: 2026-08-26 11:19:53 UTC; petzi
Author: Peter Baumgartner [aut, cre]
Maintainer: Peter Baumgartner <petzi53@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:40:02 UTC

More information about pressfreedom at CRAN
Permanent link

New package pinsearch with initial version 0.1.6
Package: pinsearch
Title: Specification Search for Partial Factorial Invariance
Version: 0.1.6
Description: Automate specification search for identifying noninvariant items in factorial invariance analyses, as described in Yoon & Millsap (2007) <doi:10.1080/10705510701301677>. Models are specified in 'lavaan' syntax. Supports continuous indicators with loadings, intercepts, residuals (uniqueness), and residual covariances invariance, and ordered categorical indicators with loadings, thresholds, and residual covariances invariance.
License: GPL-3
Encoding: UTF-8
Imports: lavaan, stats
Suggests: boot, difR, knitr, MASS, rmarkdown, testthat (>= 3.0.0), withr
URL: https://github.com/marklhc/pinsearch, https://marklhc.github.io/pinsearch/
BugReports: https://github.com/marklhc/pinsearch/issues
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-26 13:56:43 UTC; marklai
Author: Mark Lai [aut, cre, cph]
Maintainer: Mark Lai <marklhc@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:40:07 UTC

More information about pinsearch at CRAN
Permanent link

New package pdglasso with initial version 2.0.1
Package: pdglasso
Title: Graphical Lasso for Coloured Gaussian Graphical Models for Paired Data
Version: 2.0.1
Description: Implements methods for coloured Gaussian graphical models with equality "R"estrictions on "CON"centration values (RCON models; Højsgaard and Lauritzen (2008) <doi:10.1111/j.1467-9868.2008.00666.x>) for paired data (pdRCON models). Provides an Alternating Direction Method of Multipliers (ADMM) algorithm for solving the penalized likelihood problem introduced by Ranciati and Roverato (2024) <doi:10.1007/s11222-024-10513-6>. Provides functions for computing maximum likelihood estimates and generating simulated pdRCON models and datasets.
License: GPL (>= 3)
Imports: Rcpp (>= 1.0.13), MASS
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2026-08-26 05:01:03 UTC; Lenovo Yoga
Author: Saverio Ranciati [aut] , Alberto Roverato [aut] , Anna Vesely [aut, cre] , Peter Majcen [aut]
Maintainer: Anna Vesely <anna.vesely2@unibo.it>
Repository: CRAN
Date/Publication: 2026-09-08 13:30:09 UTC

More information about pdglasso at CRAN
Permanent link

New package octawave with initial version 0.1.0
Package: octawave
Title: Spatial Octahedral Quantum Wave Functions
Version: 0.1.0
Description: Provides mathematical tools for simulating and visualizing three-dimensional octahedral quantum wave interferences and spatial resonance fields. Includes functions for MRI slice generation of fullerene structures and wave models. Computational modeling and three-dimensional visualization of fullerene and octahedral topologies are implemented within the R statistical environment, with interactive plotting powered by 'plotly'. Theoretical foundations are based on the topological frameworks of Cataldo et al. (2015) <doi:10.1002/wcms.1207>, Dresselhaus et al. (1996, ISBN:9780122218200), and Coxeter (1973, ISBN:9780486614809); the geometric principles of equations of the octahedron type are outlined in Bobenko and Suris (2012) <doi:10.1093/imrn/rnr083>. Additional structural and biological symmetry contexts are derived from Bragg (1914) <doi:10.1098/rspa.1914.0015> and Caspar and Klug (1962) <doi:10.1101/sqb.1962.027.001.005>.
License: GPL-3
Encoding: UTF-8
Imports: graphics, grDevices, matlab, plotly
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-26 10:50:27 UTC; katharinabrecht
Author: Katharina Brecht [aut, cre]
Maintainer: Katharina Brecht <katharina.quantumdata@proton.me>
Repository: CRAN
Date/Publication: 2026-09-08 13:40:13 UTC

More information about octawave at CRAN
Permanent link

New package numops with initial version 1.0.0
Package: numops
Title: Lightweight Numerical Operations
Version: 1.0.0
URL: https://github.com/Macosso/numops
BugReports: https://github.com/Macosso/numops/issues
Description: Provides dependency-free helpers for recurring numerical tasks on vectors, matrices, and arrays. Operations cover bounds, interpolation, remapping, division, Euclidean norms, normalization, and adjacent differences. Multi-input operations use strict scalar recycling, reject incompatible lengths, and preserve names, dimensions, and dimension names where applicable. Explicit handling of invalid intervals, zero denominators, and zero norms gives consistent behavior for common edge cases.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-26 13:40:12 UTC; Joaoc
Author: Joao Claudio Macosso [aut, cre]
Maintainer: Joao Claudio Macosso <joaoclaudiomacosso@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:40:18 UTC

More information about numops at CRAN
Permanent link

New package DPrivStats with initial version 0.1.0
Package: DPrivStats
Title: Differentially Private Classical Statistical Inference
Version: 0.1.0
Description: Implements differentially private (DP) versions of common classical statistical procedures, including descriptive statistics (mean, variance, quantiles, histograms), hypothesis tests (t-test, chi-square, Kolmogorov-Smirnov, one-way ANOVA), and regression (closed-form DP linear regression and DP-SGD for generalized linear models). Provides Laplace and Gaussian mechanisms with analytic calibration, exponential mechanism for medians, privacy-aware confidence intervals that account for both sampling and privacy noise, and privacy budget accounting via basic, advanced, and Renyi differential privacy (RDP) composition. Designed for official statistics and privacy-preserving data analysis research.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, MASS, Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2
LinkingTo: Rcpp
VignetteBuilder: knitr
URL: https://github.com/MukulBijalwan/DPrivStats
BugReports: https://github.com/MukulBijalwan/DPrivStats/issues
LazyData: true
NeedsCompilation: yes
Packaged: 2026-08-26 05:58:50 UTC; Admin
Author: Mukul Bijalwan [aut, cre]
Maintainer: Mukul Bijalwan <mukulbijalwan555@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:30:29 UTC

More information about DPrivStats at CRAN
Permanent link

New package chms with initial version 7.1
Package: chms
Title: Accelerometer Processing Methods for Cycle 7 of the CHMS
Version: 7.1
Description: 'ActiGraph wGT3X-BT' accelerometer processing methods using the standardized workflow developed by Statistics Canada for cycle 7 of the Canadian Health Measures Survey (CHMS). The package promotes transparent and reproducible data processing while supporting the harmonization of analytical approaches among researchers wishing to align with Statistics Canada's methods. For general details about the processing methods, please consult Clarke J, Gribbon A, St-Laurent M, Ferrao T, Barnes J, Kuzik N, Colley R (2026) <doi: 10.25318/82-003-x202600200001-eng>.
License: MIT + file LICENSE
URL: https://github.com/statcan/chms
BugReports: https://github.com/statcan/chms/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: cli, DBI, dbplyr, dplyr, haven, hms, jsonlite, knitr, lubridate, mirai, mori, parallelly, purrr, R6, readr, rlang, RSQLite, stats, stringr, tidyr, utils, zoo
Suggests: config, ggplot2, janitor, kableExtra, PhysicalActivity, quarto, scales, testthat, tibble
NeedsCompilation: no
Packaged: 2026-08-25 23:45:32 UTC; barnjoe
Author: Joel Barnes [aut, cre], Janine Clarke [ctb], Rachel Colley [ctb], His Majesty the King in Right of Canada, as represented by Statistics Canada [cph]
Maintainer: Joel Barnes <joel.barnes@statcan.gc.ca>
Repository: CRAN
Date/Publication: 2026-09-08 13:30:15 UTC

More information about chms at CRAN
Permanent link

New package BuSuCo with initial version 0.2.0
Package: BuSuCo
Title: Coordinate Survey Samples for Businesses
Version: 0.2.0
Description: Contains a number of functions for different business sample coordination algorithms together with a function to generate customizable business data sets. For more details see Straubinger (2025) <https://ubt.opus.hbz-nrw.de/frontdoor/index/index/docId/2785>.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: data.table, EnvStats
NeedsCompilation: no
Packaged: 2026-08-10 15:03:37 UTC; jstra
Author: Johannes Straubinger [aut, cre], Ralf Muennich [aut]
Maintainer: Johannes Straubinger <johannes.straubinger@statistik.gv.at>
Repository: CRAN
Date/Publication: 2026-09-08 13:40:29 UTC

More information about BuSuCo at CRAN
Permanent link

New package AQIR with initial version 0.1.0
Package: AQIR
Title: Air Quality Indexing and Statistical Reporting
Version: 0.1.0
Description: Provides a comprehensive framework for Air Quality Index (AQI) analysis from air pollutant concentration data using Central Pollution Control Board (CPCB) criteria. Calculates pollutant-specific AQI sub-indices and derives the overall AQI and its category, identifies the primary pollutant, and summarises, ranks, and visualizes results across monitoring locations. Methodology follows Central Pollution Control Board (2014,"National Air Quality Index") <https://app.cpcbccr.com/ccr_docs/FINAL-REPORT_AQI_.pdf>.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, lubridate, stats, utils
Suggests: plotly, readxl
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-08-26 12:54:54 UTC; JARVIS
Author: S. Hariharan [aut, cre], V. Ra. Charumathi [aut], S. Vishnu Shankar [aut]
Maintainer: S. Hariharan <Hari1971haran@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:40:35 UTC

More information about AQIR at CRAN
Permanent link

New package AIGENIE with initial version 2.1.2
Package: AIGENIE
Title: Automatic Item Generation and Validation via Network-Integrated Evaluation
Version: 2.1.2
Date: 2026-08-26
Maintainer: Hudson Golino <hfg9s@virginia.edu>
Description: Automated psychological scale development and structural validation using large language models (LLMs) and network psychometric methods. Implements the AI-GENIE framework (Automatic Item Generation and Validation via Network-Integrated Evaluation) to generate candidate items, compute embedding representations, and estimate dimensional structure using Exploratory Graph Analysis (EGA). Item quality is evaluated using Unique Variable Analysis to identify redundant items and Bootstrap EGA to assess item and dimension stability. Supports both fully automated item generation and analysis of user-provided item sets, facilitating efficient, theory-informed measurement development prior to empirical data collection.
License: AGPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.6.0), EGAnet (>= 2.4.0)
Imports: reticulate, ggplot2, igraph, patchwork, jsonlite
Suggests: testthat (>= 3.0.0), tictoc, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://laralee.github.io/AIGENIE/, https://github.com/laralee/AIGENIE
BugReports: https://github.com/laralee/AIGENIE/issues
NeedsCompilation: no
Packaged: 2026-08-26 16:37:32 UTC; Hudson
Author: Lara Russell-Lasalandra [aut, cph] , Alexander Christensen [aut, cph] , Hudson Golino [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-09-08 13:50:09 UTC

More information about AIGENIE at CRAN
Permanent link

New package actiwalkability with initial version 0.1.0
Package: actiwalkability
Title: Access the EPA Walkability Index
Version: 0.1.0
Description: Provides helpers for querying the EPA Walkability Index <https://www.epa.gov/smartgrowth/national-walkability-index-user-guide-and-methodology> and working with Census GEOID/FIPS identifiers <https://www.census.gov/programs-surveys/geography/guidance/geo-identifiers.html>.
License: GPL-3
Depends: R (>= 4.1.0)
Suggests: covr, ggplot2, ggrepel, knitr, withr, testthat, rmarkdown, curl
Encoding: UTF-8
VignetteBuilder: knitr
Imports: arcgislayers, assertthat, dplyr, rlang
URL: https://github.com/jhuwit/actiwalkability, https://jhuwit.github.io/actiwalkability/
BugReports: https://github.com/jhuwit/actiwalkability/issues
NeedsCompilation: no
Packaged: 2026-08-26 01:35:28 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:20:09 UTC

More information about actiwalkability at CRAN
Permanent link

New package sfOpenData with initial version 0.1.2
Package: sfOpenData
Title: A Lightweight Interface to San Francisco Open Data APIs
Version: 0.1.2
Description: Provides a unified set of helper functions to access datasets from the San Francisco Open Data platform <https://data.sfgov.org/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API. The package provides a consistent interface for discovering and downloading datasets from the San Francisco Open Data Portal using human-readable dataset keys or official Socrata dataset identifiers.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: curl, dplyr, httr, janitor, jsonlite, rlang, tibble
Suggests: ggplot2, knitr, rmarkdown, scales, testthat (>= 3.0.0), tidyr, vcr (>= 0.6.0), webmockr
URL: https://github.com/nyc-open-data-lab/sfOpenData, https://github.com/nyc-open-data-lab/sfOpenData/
BugReports: https://github.com/nyc-open-data-lab/sfOpenData/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-08-25 15:24:03 UTC; christianmartinez
Author: Shelby Lyn Gomes [aut] , Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-08 12:30:11 UTC

More information about sfOpenData at CRAN
Permanent link

New package nisone with initial version 0.0.2
Package: nisone
Title: Inference for Samples of Size at Least One
Version: 0.0.2
Description: Provides different interval estimates of a location parameter when the sample size is one or more. These include classical methods when n=1, new Bayesian analogues of these classical methods, and extensions of these methods to larger sample sizes in the normal case. Other functions calculate Bayes factors based on t-statistics, and implement the (generalized) inverse normal distribution. These methods are described in Gerard (2026) <doi:10.48550/arXiv.2607.25007>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://dcgerard.github.io/nisone/
BugReports: https://github.com/dcgerard/nisone/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-25 18:56:16 UTC; dgerard
Author: David Gerard [aut, cre]
Maintainer: David Gerard <gerard.1787@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 12:40:02 UTC

More information about nisone at CRAN
Permanent link

New package minirocketR with initial version 0.1.0
Package: minirocketR
Title: 'MiniRocket': A Very Fast (Almost) Deterministic Transform for Time Series Classification
Version: 0.1.0
Description: High-performance R and C++ implementation using 'OpenMP' parallelization for the 'MiniRocket' algorithm. Extracts features from univariate time series for downstream classification as described in 'Dempster et al.' (2021) (<doi:10.1145/3447548.3467231>).
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Imports: Rcpp (>= 1.0.0), stats
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++17, OpenMP
Suggests: knitr, rmarkdown, spelling, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-08-25 14:33:03 UTC; manuel
Author: Manuel Villacorta Tilve [aut, cre]
Maintainer: Manuel Villacorta Tilve <mvt.oviedo@yahoo.es>
Repository: CRAN
Date/Publication: 2026-09-08 12:30:25 UTC

More information about minirocketR at CRAN
Permanent link

New package ekioplot with initial version 1.1.0
Package: ekioplot
Title: EKIO Visual Identity for 'ggplot2'
Version: 1.1.0
Description: Implements EKIO's visual identity for data visualization with 'ggplot2'. Supplies a coordinated theme, color palettes, discrete and continuous scales, and helpers for accessible text contrast. Includes high-level recipes for common charts so analysts can create consistent, publication-ready graphics with concise code.
URL: https://viniciusoike.github.io/ekioplot/, https://github.com/viniciusoike/ekioplot
License: MIT + file LICENSE
Copyright: file inst/COPYRIGHTS
Depends: R (>= 4.1.0)
Encoding: UTF-8
LazyData: true
Imports: cli, ggplot2 (>= 4.0.0), grDevices, rlang, systemfonts
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0), tibble, yaml
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-25 17:53:34 UTC; viniciusreginatto
Author: Vinicius Oike [aut, cre, cph]
Maintainer: Vinicius Oike <viniciusor@ekio.io>
Repository: CRAN
Date/Publication: 2026-09-08 12:30:30 UTC

More information about ekioplot at CRAN
Permanent link

New package bbqr with initial version 0.1.0
Package: bbqr
Title: Bayesian Quantile Regression with Lasso and Adaptive Lasso
Version: 0.1.0
Description: Markov chain Monte Carlo samplers for Bayesian quantile regression, based on the asymmetric Laplace distribution and the location-scale mixture representation of Kozumi and Kobayashi (2011) <doi:10.1080/00949655.2010.496117>. A binary response and an observed continuous response are both supported, each with three penalty layers behind one interface: no penalty, following Benoit and Van den Poel (2012) <doi:10.1002/jae.1216>; the Bayesian lasso, following Benoit, Al-Hamzawi and Yu (2013) <doi:10.1007/s00180-013-0439-0>; and the Bayesian adaptive lasso of Rubio Garcia (2023) <https://soar.wichita.edu/entities/publication/a2f86232-4704-4ec2-b685-751e7b04ec42>. In the binary family each is available as published and in a corrected form, the default, in which every improper prior component is replaced by a proper one so that the posterior exists unconditionally; the continuous family ships the corrected form only. The continuous adaptive-lasso layer at its default r [...truncated...]
License: GPL (>= 2)
Copyright: See inst/COPYRIGHTS for the attribution of third-party components inherited from the 'bayesQR' package.
Encoding: UTF-8
Depends: R (>= 4.2)
Imports: graphics, stats, utils
Suggests: testthat (>= 3.0.0), coda, knitr, rmarkdown, quantreg
VignetteBuilder: knitr
NeedsCompilation: yes
URL: https://github.com/fernandorubiogarcia/bbqr
BugReports: https://github.com/fernandorubiogarcia/bbqr/issues
Packaged: 2026-08-25 20:39:30 UTC; ferna
Author: Fernando Rubio Garcia [aut, cre] , Dries F. Benoit [ctb, cph] , Rahim Al-Hamzawi [ctb], Keming Yu [ctb], Dirk Van den Poel [ctb]
Maintainer: Fernando Rubio Garcia <j332v755@wichita.edu>
Repository: CRAN
Date/Publication: 2026-09-08 13:00:13 UTC

More information about bbqr at CRAN
Permanent link

New package catfda with initial version 0.1.0
Package: catfda
Title: Statistical Analysis for Categorical Functional Data
Version: 0.1.0
Description: Implements methods for estimating latent Gaussian processes from categorical functional data using binomial, probit, or multinomial GAM-based approaches, and for clustering individuals via multivariate functional principal component scores. Methods are described in Champon et al. (2026) <doi:10.1080/01621459.2026.2672226>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/XiaoxiaChampon/catfda
BugReports: https://github.com/XiaoxiaChampon/catfda/issues
Imports: mgcv (>= 1.8-40), stats, rlang (>= 1.0.0), foreach (>= 1.5.0), doRNG (>= 1.8.0)
Suggests: doParallel, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-25 13:52:14 UTC; pog66
Author: Xiaoxia Champon [aut], Ana-Maria Staicu [aut], Chathura Jayalath [aut, cre] , Anthony Weishampel [ctb], William Rand [ctb]
Maintainer: Chathura Jayalath <acj.chathura@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 11:50:09 UTC

More information about catfda at CRAN
Permanent link

Mon, 07 Sep 2026

New package RcppTrust with initial version 0.1.0
Package: RcppTrust
Title: Thread-Safe C++ Port of the 'trust' Trust Region Optimizer
Version: 0.1.0
Description: Does local optimization using two derivatives and trust regions. Guaranteed to converge to a local minimum of the objective function. This is a thread-safe C++ port of the algorithm in the 'trust' package by Charles J. Geyer, exposed both as a drop-in R function and as a C-callable, thread-safe entry point (with function pointers registered for other packages to call without linking against this package's shared library) so it can be used from parallel C++ code such as in 'nlmixr2est'.
License: MIT + file LICENSE
URL: https://github.com/nlmixr2/RcppTrust/, https://nlmixr2.github.io/RcppTrust/, http://www.stat.umn.edu/geyer/trust/
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo, BH
Suggests: testthat (>= 3.0.0), stats, knitr, rmarkdown, trust, microbenchmark
SystemRequirements: C++17
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-08-25 13:26:50 UTC; matt-fidler
Author: Charles J. Geyer [aut] , Matthew Fidler [aut, cre]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-07 12:20:02 UTC

More information about RcppTrust at CRAN
Permanent link

New package CompositionalZADR with initial version 1.0
Package: CompositionalZADR
Title: Compositional Data Analysis with the Zero Adjusted Dirichlet Distribution
Version: 1.0
Date: 2026-08-20
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Compositional, graphics, grDevices, Rfast, stats
Suggests: Rfast2
Description: Regression, discriminant analysis, maximum likelihood estimation, random values generation, and contour plots of the zero adjusted Dirichlet distribution. The relevant paper is Tsagris M. and Stewart C. (2018). "A Dirichlet regression model for compositional data with zeros". Lobachevskii Journal of Mathematics, 39(3): 398--412. <doi:10.1134/S1995080218030198>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-08-25 06:39:57 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-09-07 11:20:02 UTC

More information about CompositionalZADR at CRAN
Permanent link

New package icio with initial version 1.0.0
Package: icio
Version: 1.0.0
Title: Global Value Chain Decomposition of Inter-Country Input-Output Tables
Description: Four global value chain (GVC) decompositions of gross exports from inter-country input-output tables are implemented. The Leontief decomposition derives the value added origin of exports by country and industry, as in Hummels, Ishii and Yi (2001) <doi:10.1016/S0022-1996(00)00093-3>. The Koopman, Wang and Wei (2014) <doi:10.1257/aer.104.2.459> decomposition splits country-level exports into 9 value added components, and the Wang, Wei and Zhu (2013) <doi:10.3386/w19677> decomposition splits bilateral exports into 16 value added components. The Borin and Mancini (2019) <doi:10.1596/1813-9450-8804> decomposition splits country-, sector- or bilateral-level exports into up to 13 value added and GVC components, and also provides a corrected version of the (biased) Koopman-Wang-Wei decomposition. It is the recommended method and reproduces the 'icio' command for 'Stata' described in Belotti, Borin and Mancini (2021) <doi:10.1177/1536867X211045573>.
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>
Depends: R (>= 3.5.0)
Imports: data.table, matrixStats
License: GPL-3
URL: https://sebkrantz.github.io/icio/, https://github.com/SebKrantz/icio
BugReports: https://github.com/SebKrantz/icio/issues
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-08-05 20:50:35 UTC; sebastiankrantz
Author: Sebastian Krantz [aut, cre] , Bastiaan Quast [aut] , Fei Wang [aut], Victor Stolzenburg [aut], Oliver Reiter [ctb]
Repository: CRAN
Date/Publication: 2026-09-07 10:20:02 UTC

More information about icio at CRAN
Permanent link

Sat, 05 Sep 2026

New package sssp with initial version 0.1.0
Package: sssp
Title: Semi-Symmetric Sparse Projection
Version: 0.1.0
Description: Computes the exact joint sparsity and group sparsity projection using the Semi-symmetric Sparse Projection algorithm of J. Shen and S. Damadi, "Sparse projection onto semi-symmetric sets with applications to sparse optimization", Journal of Global Optimization (2026), <doi:10.1007/s10898-026-01592-y>.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2026-08-24 21:35:34 UTC; saeed
Author: Saeed Damadi [aut, cre]
Maintainer: Saeed Damadi <sparsification@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-05 14:10:02 UTC

More information about sssp at CRAN
Permanent link

New package vbpm with initial version 0.9.1
Package: vbpm
Title: Variational Bayes Psychometric Models
Version: 0.9.1
Description: Variational Bayes estimation for a family of psychometric measurement models. Two models are provided. Variational Bayes factor analysis (vbfa) is a regularized partially confirmatory factor model spanning the confirmatory-exploratory continuum via spike-and-slab priors on the loadings (Chen, Guo, Zhang, and Pan, 2021 <doi:10.1037/met0000293>; Chen, 2023 <doi:10.3758/s13428-022-01884-7>; Jin and Chen, 2025 <doi:10.1080/10705511.2024.2432612>), with an optional dynamic (warm-started) regularization path, an orthogonal bifactor parameterization, and optional sparse residual (local dependence) estimation through a graphical spike-and-slab prior solved by QUIC (Jin, Chen, Yan, and Zhang, 2026 <doi:10.31234/osf.io/dehtv_v2>). Regularized MIMIC (vbmimic) extends this to multiple-indicators multiple-causes models, placing spike-and-slab priors on both the measurement and the structural part (Jin and Chen, 2025 <doi:10.1080/00273171.2025.2483253>). Companion tools [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: Rcpp, MASS, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: numDeriv, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/Jinsong-Chen/vbpm
BugReports: https://github.com/Jinsong-Chen/vbpm/issues
NeedsCompilation: yes
Packaged: 2026-08-24 18:44:24 UTC; HKU
Author: Jinsong Chen [aut, cre] , Yi Jin [aut]
Maintainer: Jinsong Chen <jinsong.chen@live.com>
Repository: CRAN
Date/Publication: 2026-09-05 14:00:02 UTC

More information about vbpm at CRAN
Permanent link

New package suppr with initial version 1.0.0
Package: suppr
Title: Supplementary Idiomatic Utilities and Extensions
Version: 1.0.0
Description: Miscellaneous supplementary functions designed to follow idiomatic 'R' conventions. Some functions are simple wrappers that reduce repetitive code, while others address common tasks or extend existing 'R' functions.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: rlang, testthat (>= 3.0.0)
Imports: methods, stats
Depends: R (>= 4.0.0)
URL: https://lj-jenkins.github.io/suppr/, https://github.com/LJ-Jenkins/suppr
BugReports: https://github.com/LJ-Jenkins/suppr/issues
NeedsCompilation: yes
Packaged: 2026-08-24 14:59:56 UTC; lukej
Author: Luke Jenkins [aut, cre, cph]
Maintainer: Luke Jenkins <luke-jenkins-dev@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-05 13:30:02 UTC

More information about suppr at CRAN
Permanent link

New package spatpersist with initial version 0.1.0
Package: spatpersist
Title: Create Persistent Identifiers for Longitudinal Spatial Data
Version: 0.1.0
Description: Creates dataset-local persistent identifiers for polygon units observed across time. Configurable overlap metrics, thresholds, and one-to-one matching rules identify continuity while separate identifiers track boundary versions and broader lineages through splits, mergers, and replacements. Candidate-link diagnostics, validation checks, registry reconciliation, and lineage summaries keep the resulting decisions inspectable and reproducible.
License: MIT + file LICENSE
URL: https://github.com/emre-cebeci/spatpersist
BugReports: https://github.com/emre-cebeci/spatpersist/issues
Encoding: UTF-8
Imports: sf
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-24 15:38:56 UTC; emrecebeci
Author: Emre Cebeci [aut, cre]
Maintainer: Emre Cebeci <cebeciemre1@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-05 13:50:02 UTC

More information about spatpersist at CRAN
Permanent link

New package qdaR with initial version 0.1.0
Package: qdaR
Title: Read and Analyse Qualitative Coding Exported from Zotero
Version: 0.1.0
Description: Reads the versioned exchange files written by the Zotero plugins 'zotQDA' and 'qdaZ' -- coded fragments, code systems, coding histories and team-consensus results -- validates them against the shipped contract, and reproduces the plugin's graphics with 'ggplot2'. Adds what those plugins deliberately leave out: six agreement coefficients with bootstrap confidence intervals, the reliability of the segmentation itself, chi-squared tests of code by group tables with effect sizes, correspondence analysis, multidimensional scaling and hierarchical clustering of codes. Projects from other programs can be read through the 'REFI-QDA' interchange standard <https://www.qdasoftware.org/>, which makes those analyses available to users of established software that does not offer them; the subset a '.qdpx' supports is reported on import. Reference files are included, so every function can be tried without a Zotero installation.
License: AGPL-3
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: ggplot2, jsonlite, stats, utils, MASS
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, vegawidget, withr, xml2
VignetteBuilder: knitr
URL: https://zotqda.org, https://qdar.zotqda.org/, https://github.com/fre-ms/qdaR
BugReports: https://github.com/fre-ms/qdaR/issues
NeedsCompilation: no
Packaged: 2026-08-24 17:49:08 UTC; felmuell
Author: fre.ms [aut, cre]
Maintainer: fre.ms <fre.ms@fre.ms>
Repository: CRAN
Date/Publication: 2026-09-05 13:50:08 UTC

More information about qdaR at CRAN
Permanent link

New package mvdpd with initial version 0.1-1
Package: mvdpd
Title: Robust DPD Methods for Casewise and Cellwise Contamination
LazyLoad: yes
Version: 0.1-1
Date: 2026-08-23
Description: Robust multivariate estimation based on multivariate, composite and componentwise Density Power Divergence (DPD) minimization in multivariate normal distribution for casewise and cellwise contamination. Robust estimation for multivariate ordered gamma model using multivariate and composite DPD minimization. See A. Ghosh, C. Agostinelli, and A. Basu (2026) A Composite Divergence Approach to Robust Multivariate Estimation under Cellwise and Casewise Contamination. <doi:10.48550/arXiv.2608.18914> for full details.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: MASS
Suggests: knitr, robustbase, cellWise, dplyr, ggplot2, reshape2, tidyr
SuggestsNote: mostly only because of vignette graphics
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-24 06:50:59 UTC; claudio
Author: Claudio Agostinelli [aut, cre], Abhik Ghosh [aut], Ayanendranath Basu [aut]
Maintainer: Claudio Agostinelli <claudio.agostinelli@unitn.it>
Repository: CRAN
Date/Publication: 2026-09-05 14:00:10 UTC

More information about mvdpd at CRAN
Permanent link

New package ctOpenData with initial version 0.1.1
Package: ctOpenData
Title: A Lightweight Interface to Connecticut Open Data APIs
Version: 0.1.1
Description: Provides a unified set of helper functions to access datasets from the Connecticut Open Data platform <https://data.ct.gov/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API. The package provides a consistent interface for discovering and downloading datasets from the Connecticut Open Data Portal using human-readable dataset keys or official Socrata dataset identifiers.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: curl, dplyr, httr, janitor, jsonlite, rlang, tibble
Suggests: ggplot2, knitr, rmarkdown, scales, testthat (>= 3.0.0), tidyr, vcr (>= 0.6.0), webmockr
URL: https://github.com/gomes-sh/ctOpenData
BugReports: https://github.com/gomes-sh/ctOpenData/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-08-24 16:53:10 UTC; magic
Author: Shelby Lyn Gomes [aut] , Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-05 13:50:14 UTC

More information about ctOpenData at CRAN
Permanent link

New package CodeCarbonR with initial version 0.1.0
Package: CodeCarbonR
Title: Track Energy Consumption and Carbon Emissions of R Code
Version: 0.1.0
Description: Wraps the Python 'codecarbon' package via 'reticulate' to measure the energy consumption and estimated carbon emissions of R code. Provides a self-contained setup routine that installs 'codecarbon' into a dedicated conda environment, and an R-facing tracker API for measuring a block of code or a longer-running session.
License: MIT + file LICENSE
URL: https://beabock.github.io/CodeCarbonR/, https://github.com/beabock/CodeCarbonR
BugReports: https://github.com/beabock/CodeCarbonR/issues
Encoding: UTF-8
Imports: R6, reticulate
Suggests: knitr, pkgdown, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
SystemRequirements: Python (>= 3.9); codecarbon Python package (>= 2.2.2), installed via setup_carbon_tracker()
NeedsCompilation: no
Packaged: 2026-08-24 15:33:04 UTC; beabo
Author: Beatrice Bock [aut, cre, cph] , Rachel Paterson [aut], Dylan van Bramer [aut]
Maintainer: Beatrice Bock <beabockm@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-05 13:50:20 UTC

More information about CodeCarbonR at CRAN
Permanent link

New package STATassist with initial version 1.0.0
Package: STATassist
Title: Standardised Statistical Comparison Workflows
Version: 1.0.0
Description: Runs the applicable tests for a comparison in one call and returns standardised result tables. One-sample, two-group, multi-group, factorial and categorical workflows report parametric, rank-based and robust results side by side with effect sizes, confidence intervals and multiplicity-adjusted p-values. Supervised fits, embeddings, clustering and simulators follow the same result contracts. Methods include those of Welch (1947) <doi:10.1093/biomet/34.1-2.28>, Wilcoxon (1945) <doi:10.2307/3001968>, Mann and Whitney (1947) <doi:10.1214/aoms/1177730491>, Kruskal and Wallis (1952) <doi:10.1080/01621459.1952.10483441>, Friedman (1937) <doi:10.1080/01621459.1937.10503522>, Tukey (1949) <doi:10.2307/3001913>, Dunn (1964) <doi:10.1080/00401706.1964.10490181>, Yuen (1974) <doi:10.1093/biomet/61.1.165>, Brunner and Munzel (2000) <doi:10.1002/(SICI)1521-4036(200001)42:1%3C17::AID-BIMJ17%3E3.0.CO;2-U>, Algina, Keselman and Penfield (2005) <d [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/hiows/STATassist
BugReports: https://github.com/hiows/STATassist/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: caret, dbscan, glmnet, grDevices, graphics, kernlab, randomForest, Rtsne, stats, umap, utils
Suggests: jsonlite, pROC, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-08-24 11:03:13 UTC; hiows
Author: Wonseok Oh [aut, cre]
Maintainer: Wonseok Oh <hiows97@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-05 12:50:02 UTC

More information about STATassist at CRAN
Permanent link

Fri, 04 Sep 2026

New package plotomics with initial version 0.1.0
Package: plotomics
Title: High-Performance Bioinformatics Visualizations
Version: 0.1.0
Description: Lightweight, GPU-accelerated bioinformatics visualization widgets (volcano plots, expression and clustered heatmaps, dot plots, stacked violins, embeddings, spatial tissue maps, oncoprints, protein domain lollipops, Kaplan-Meier curves, mutational signature profiles, UpSet plots, treemaps, networks and Hi-C contact matrices) backed by a shared JavaScript core and exposed to R through 'htmlwidgets'. Designed for large datasets that render smoothly in the browser, the 'RStudio' Viewer, R Markdown, Quarto and Shiny.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: htmlwidgets
Suggests: knitr, rmarkdown, shiny, testthat (>= 3.0.0), survival
VignetteBuilder: knitr
URL: https://github.com/samuelbharti/plotomics, https://doi.org/10.5281/zenodo.21926306
BugReports: https://github.com/samuelbharti/plotomics/issues
NeedsCompilation: no
Packaged: 2026-08-24 10:10:36 UTC; Samuel
Author: Samuel Bharti [aut, cre]
Maintainer: Samuel Bharti <samuelbharti.io@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-04 21:50:02 UTC

More information about plotomics at CRAN
Permanent link

New package syrona with initial version 0.2.1
Package: syrona
Title: Stratified Prevalence Comparison Across OMOP CDM Datasets
Version: 0.2.1
Description: Derives stratified prevalence tables from the condition, procedure, and drug records in OMOP CDM (Observational Medical Outcomes Partnership Common Data Model) databases, computes log2 prevalence ratios between paired datasets, and synthesizes them via random-effects meta-analysis at multiple aggregation levels (year, age group, and sex). Between-study variance is estimated with the Paule-Mandel method, as described in Paule and Mandel (1982) <doi:10.6028/jres.087.022>.
License: MIT + file LICENSE
URL: https://github.com/HealthInformaticsUT/Syrona
BugReports: https://github.com/HealthInformaticsUT/Syrona/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.1.0), dbplyr (>= 2.3.0), DBI (>= 1.2.0), CDMConnector (>= 2.0.0), omopgenerics (>= 1.3.0), tibble, tidyr, cli, rlang, shiny, ggplot2, ggiraph, ggtext, scales, grDevices, stats, readr (>= 2.0.0), meta (>= 6.0.0)
Suggests: testthat (>= 3.0.0), duckdb (>= 0.9.0), RPostgres, CohortConstructor (>= 0.6.0), DT, shinycssloaders, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-06 12:34:32 UTC; maarjapajusalu
Author: Maarja Pajusalu [aut, cre]
Maintainer: Maarja Pajusalu <maarja.pajusalu@ut.ee>
Repository: CRAN
Date/Publication: 2026-09-04 20:10:02 UTC

More information about syrona at CRAN
Permanent link

New package bGMYC4 with initial version 4.1.6
Package: bGMYC4
Title: Bayesian General Mixed Yule-Coalescent Model for Species Delimitation
Version: 4.1.6
Description: Implements a Bayesian version of the general mixed Yule-coalescent model for species delimitation. It uses Markov Chain Monte Carlo simulation to evaluate the posterior distribution of the model and supports flexible prior specification on model parameters.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: ape (>= 5.0), future, future.apply
Suggests: mcmcse, plotly, base64enc, testthat (>= 3.0.0), knitr, rmarkdown, htmltools, htmlwidgets, treeio, ggtree, dplyr
VignetteBuilder: knitr, rmarkdown
URL: https://github.com/DmitryKarabanov/bGMYC4
BugReports: https://github.com/DmitryKarabanov/bGMYC4/issues
NeedsCompilation: no
Packaged: 2026-08-24 07:20:13 UTC; Professional
Author: Noah Reid [aut, cph] , Dmitry Karabanov [aut, cre]
Maintainer: Dmitry Karabanov <dk@ibiw.ru>
Repository: CRAN
Date/Publication: 2026-09-04 20:30:02 UTC

More information about bGMYC4 at CRAN
Permanent link

New package AugmentedPooledRCBD with initial version 0.1.0
Package: AugmentedPooledRCBD
Title: Augmented Pooled Randomized Complete Block Design Analysis
Version: 0.1.0
Maintainer: Santosha Rathod <santoshagriculture@gmail.com>
Description: Augmented randomized complete block designs (augmented RCBDs) are useful for researchers to evaluate large numbers of unreplicated test entries with limited replicated checks. This R and 'Shiny'-based statistical package provides methods for the analysis of augmented randomized complete block designs (augmented RCBDs) across multiple environments. The package performs environment-wise augmented RCBD analysis and pooled analysis across environments, including analysis of variance (ANOVA), testing for homogeneity of error variances across environments, adjusted treatment means, treatment sum-of-squares partitioning, standard error of the mean (SEM), critical difference (CD), and treatment ranking. For pooled analysis, environment-specific error variances are assessed for homogeneity and used for appropriate transformation where required, followed by a general linear model incorporating environment, block nested within environment, treatment, and environment x treatment interaction. This [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: car, dplyr, emmeans, shiny, DT, shinybusy, rlang
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-24 05:58:45 UTC; Dr. Santosh Rathod
Author: Santosha Rathod [aut, cre, ctb], Susheel Kumar Sarkar [aut, ctb], Bijoy Chanda [aut, ctb], Bellamkonda Jyostna [aut], Sayantani Karmakar [aut], Vishnu Shankar [aut], Santosh Ganapati Patil [aut], Prabhat Kumar [aut], Prashant Vikram [aut], Mrinmoy Ra [...truncated...]
Repository: CRAN
Date/Publication: 2026-09-04 19:50:09 UTC

More information about AugmentedPooledRCBD at CRAN
Permanent link

New package ambre with initial version 2.1.2
Package: ambre
Title: Multi-Barrier Approach for Water Reuse Risk Assessment
Version: 2.1.2
Description: Provides a Quantitative Microbial Risk Assessment (QMRA) framework for the reuse of treated wastewater in agricultural irrigation. Following a multi-barrier approach, the package simulates pathogen inflow and removal along a treatment train, estimates human exposure, and computes health risk indicators such as infection probability, illness probability, and Disability-Adjusted Life Years (DALYs). It also supports an economic analysis of the treatment scenarios considered. For more details see <doi:10.36904/20240595>.
License: MIT + file LICENSE
URL: https://forge.inrae.fr/reversaal/reut/ambre-package
BugReports: https://forge.inrae.fr/reversaal/reut/ambre-package/-/issues
Depends: R (>= 4.1.0)
Imports: colorspace, cowplot, dplyr, EnvStats, formattable, ggplot2, plyr, purrr, readxl, rlang, scales, sfsmisc, stats, stringr, tibble, tidyr, utils
Suggests: knitr, rmarkdown, spelling, testthat, writexl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-24 06:34:38 UTC; flgirard
Author: Flora Girard [aut, cre] , Nicolas Forquet [ctb] , Arthur Breant [ctb], Colin Fay [ctb]
Maintainer: Flora Girard <flora.girard@inrae.fr>
Repository: CRAN
Date/Publication: 2026-09-04 19:50:02 UTC

More information about ambre at CRAN
Permanent link

Thu, 03 Sep 2026

New package spfcICOMP with initial version 0.1.0
Package: spfcICOMP
Title: Shrinkage Principal Fitted Components with Information Complexity-Based Model Selection
Version: 0.1.0
Description: Implements shrinkage principal fitted components for sufficient dimension reduction in high-dimensional regression and classification. Provides regularised covariance estimation using Oracle Approximating Shrinkage and Maximum Entropy Covariance, structural-dimension selection using conventional and information-complexity criteria, response-guided feature screening, reduced-space prediction, and simulation utilities. Methodological foundations include Cook and Forzani (2008) <doi:10.1214/08-STS275>, Chen et al. (2010) <doi:10.1109/TSP.2010.2053029>, Bozdogan (2000) <doi:10.1006/jmps.1999.1277>, and Olorede and Yahya (2019) <doi:10.48550/arXiv.1909.13017>.
License: MIT + file LICENSE
URL: https://github.com/ilovemaths/spfcICOMP
BugReports: https://github.com/ilovemaths/spfcICOMP/issues
Encoding: UTF-8
Language: en-GB
Imports: MASS
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2026-08-21 20:26:55 UTC; DR OLOREDE
Author: Kabir Opeyemi Olorede [aut, cre, cph]
Maintainer: Kabir Opeyemi Olorede <kabir.olorede@kwasu.edu.ng>
Repository: CRAN
Date/Publication: 2026-09-03 13:50:02 UTC

More information about spfcICOMP at CRAN
Permanent link

New package K4Guru with initial version 0.1.0
Package: K4Guru
Title: Teacher Context Data Files for TIMSS 2023 Grade 4
Version: 0.1.0
Description: The official Trends in International Mathematics and Science Study (TIMSS) 2023 website provides Teacher Context Data Files for Grade 4 in RData format. However, the available data are presented solely as numerical values. This package transforms the numerical data into categorical variables, enabling clearer interpretation and reducing ambiguity in statistical analysis. The category labels are provided in Bahasa Indonesia. This initiative contributes to promoting the use of Bahasa Indonesia in programming, in line with its designation as one of the official languages of the United Nations. For more details see <https://timss2023.org/>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-08-06 14:40:44 UTC; HP
Author: Fadhlul Mubarak [aut, cre] , Vinny Yuliani Sundara [aut]
Maintainer: Fadhlul Mubarak <mubarakfadhlul@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 13:10:03 UTC

More information about K4Guru at CRAN
Permanent link

New package BUSfinancial with initial version 0.1.0
Package: BUSfinancial
Title: Economic Analysis of Islamic Commercial Bank Financial Time Series in Indonesia
Version: 0.1.0
Description: Provides simple economic indicators for analyzing financial position time series of Islamic Commercial Banks in Indonesia.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-08-24 00:43:03 UTC; HP
Author: Fadhlul Mubarak [aut, cre] , Vinny Yuliani Sundara [aut]
Maintainer: Fadhlul Mubarak <mubarakfadhlul@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 13:20:02 UTC

More information about BUSfinancial at CRAN
Permanent link

New package wishartinference with initial version 0.1.0
Package: wishartinference
Title: Bayesian Inference for the Wishart Distribution Parameters
Version: 0.1.0
Description: Posterior inference for the shape parameter alpha and mean matrix mu in the model X_i ~ Wishart_p(2*alpha, Sigma), under both an improper prior and a proper Gamma/inverse-Wishart prior. The posterior mode is found via a Newton-within-EM algorithm and joint samples are drawn via rejection sampling.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo, BH
Suggests: testthat (>= 3.1.5)
NeedsCompilation: yes
Packaged: 2026-08-20 16:37:30 UTC; sunnyshi
Author: Philip Everson [aut], Hanqi Shi [aut, cre]
Maintainer: Hanqi Shi <hshi1@swarthmore.edu>
Repository: CRAN
Date/Publication: 2026-09-03 12:10:02 UTC

More information about wishartinference at CRAN
Permanent link

New package SujathaDist with initial version 1.0.0
Package: SujathaDist
Title: Statistical Methods for the Sujatha Distribution
Version: 1.0.0
Maintainer: Hosenur Rahman Prodhani <hosenur72@gmail.com>
Description: Provides computational tools for the Sujatha distribution, including probability density, cumulative distribution, quantile function, random number generation, parameter estimation by maximum likelihood, goodness-of-fit procedures, and associated statistical methods for lifetime data analysis. The implemented methods are based on the Sujatha distribution proposed by Shanker (2016) <doi:10.59170/stattrans-2016-023>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
URL: https://github.com/hosenur72/SujathaDist
BugReports: https://github.com/hosenur72/SujathaDist/issues
NeedsCompilation: no
Packaged: 2026-08-23 16:53:13 UTC; hosen
Author: Hosenur Rahman Prodhani [aut, cre]
Repository: CRAN
Date/Publication: 2026-09-03 12:20:16 UTC

More information about SujathaDist at CRAN
Permanent link

New package statfidelity with initial version 0.1.0
Package: statfidelity
Title: Audit Statistical Fidelity of AI-Mediated Official Statistics
Version: 0.1.0
Description: Provides deterministic tools for auditing whether artificial intelligence systems preserve the numerical, semantic, contextual, temporal, geographic, unit, provenance, revision, transformation, and uncertainty properties of official statistics. Structured reference statistics and machine-generated claims can be compared with non-compensatory critical-error rules, weakest-link and geometric fidelity summaries, provenance graphs, and portable SHA-256 proof bundles. The package also provides bounded connectors for official Eurostat, World Bank, OECD, United Nations SDG, United Kingdom Office for National Statistics, and United States Bureau of Labor Statistics application programming interfaces, plus an extensible HTTPS JSON API registry with session-only API-key support. Prompt perturbation, statistical red-team generation, minimal-pair tests, and starter benchmark data support reproducible evaluation of generative, retrieval-augmented, and agentic statistical systems. An embedded alignm [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: digest, jsonlite, stats, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-20 16:38:12 UTC; marvian
Author: Hossein Hassani [aut], Steve MacFeely [aut], Leila Marvian Mashhad [aut, cre]
Maintainer: Leila Marvian Mashhad <leila.marveian@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 12:10:08 UTC

More information about statfidelity at CRAN
Permanent link

New package SCCDdesign with initial version 0.1.0
Package: SCCDdesign
Title: Construction of Screening Designs for Mixed Level Continuous and Categorical Factors
Version: 0.1.0
Description: Provides functions for constructing screening designs for experiments involving three-level continuous and two-level categorical factors. The package implements three methods proposed by Jones, B., Lekivetz, R., Majumdar, D. and Nachtsheim, C. (2025) <doi:10.1080/00401706.2024.2362149> for generating efficient screening designs for even run sizes. It also includes functions for constructing conference matrices using Paley Type I and Type II constructions, as well as construction of pseudo conference matrices by coordinate exchange algorithm given by Jones, B. and Nachtsheim, C. J. (2011) <doi:10.1080/00224065.2011.11917841> which are used in the development of these screening designs.
License: GPL-3
Encoding: UTF-8
Imports: pracma, AlgDesign
NeedsCompilation: no
Packaged: 2026-08-13 16:47:20 UTC; VYSHNA
Author: Vyshna I C [aut, cre], Cini Varghese [aut, ctb], Safeela Nasrin [aut], Boyina Devi Priyanka [aut, ctb], Mohd Harun [aut, ctb], Anindita Datta [aut, ctb]
Maintainer: Vyshna I C <vyshnaic@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 12:20:22 UTC

More information about SCCDdesign at CRAN
Permanent link

New package mlr3automl with initial version 0.1.0
Package: mlr3automl
Title: Automated Machine Learning for 'mlr3'
Version: 0.1.0
Description: Flexible automated machine learning (AutoML) system for the 'mlr3' ecosystem. Automatically selects a suitable machine learning algorithm and tunes its hyperparameters for a given task. Constructs preprocessing pipelines with multiple parallel branches using 'mlr3pipelines' and jointly optimizes them together with the learners using 'mlr3tuning'. The optimization is driven by asynchronous decentralized Bayesian optimization by Egele et al. (2023) <doi:10.1109/e-Science58273.2023.10254839>.
License: LGPL-3
URL: https://mlr3automl.mlr-org.com, https://github.com/mlr-org/mlr3automl
BugReports: https://github.com/mlr-org/mlr3automl/issues
Depends: mlr3 (>= 1.6.0), mlr3tuning (>= 1.6.0), R (>= 3.3.0), rush (>= 1.2.1)
Imports: bbotk (>= 1.7.1), checkmate, data.table, lhs, mlr3learners (>= 0.14.0), mlr3mbo (>= 1.2.0), mlr3misc (>= 0.15.1), mlr3pipelines, paradox (>= 1.0.1), R6, utils
Suggests: callr, e1071, fastai, glmnet, kknn, lgr, lightgbm, MASS, mirai, mlr3extralearners, mlr3torch (>= 0.3.3), mlr3viz, ranger, redux, reticulate, rpart, testthat (>= 3.0.0), torch, xgboost (>= 3.2.1.1)
Additional_repositories: https://mlr-org.r-universe.dev
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-08-20 09:05:18 UTC; marc
Author: Marc Becker [cre, aut, cph] , Damir Pulatov [aut], Baisu Zhou [aut], Lona Koers [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>
Repository: CRAN
Date/Publication: 2026-09-03 12:20:03 UTC

More information about mlr3automl at CRAN
Permanent link

New package later2 with initial version 0.1
Package: later2
Title: Utilities for Scheduling Functions to Execute Later with Event Loops
Version: 0.1
Description: Executes arbitrary R or C functions some time after the current time, after the R execution stack has emptied. The functions are scheduled in an event loop. This is a derived work from the 'later' package aiming to reduce the number of dependencies.
License: Apache License 2.0
URL: https://github.com/pachadotdev/later2
BugReports: https://github.com/pachadotdev/later2/issues
Depends: R (>= 3.5)
Suggests: tinytest, parallel, litedown
LinkingTo: cpp4r
Encoding: UTF-8
VignetteBuilder: litedown
NeedsCompilation: yes
Packaged: 2026-08-23 18:00:28 UTC; pacha
Author: Winston Chang [aut] , Joe Cheng [aut], Charlie Gao [aut] , Posit Software, PBC [aut, cph] , Marcus Geelnard [ctb, cph] , Evan Nemerson [ctb, cph] , Mauricio Vargas Sepulveda [aut, cre]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 12:50:02 UTC

More information about later2 at CRAN
Permanent link

New package icons with initial version 1.0.0
Package: icons
Title: Easily Insert SVG Icons into R Outputs
Version: 1.0.0
Description: Provides tools to download, style, and insert scalable vector graphics (SVG) icons into R output, such as 'R Markdown' and 'Quarto' documents, 'Shiny' apps, 'gt' tables, and 'ggplot2' visualisations via the 'ggicons' package. Bundles popular icon libraries, such as 'Font Awesome' (<https://fontawesome.com>), 'Academicons' (<https://jpswalsh.github.io/academicons/>), and 'Material Design Icons' (<https://fonts.google.com/icons>), which are downloaded on demand to keep the package small, or build a custom icon set from any folder of local SVG files. Icon appearance, such as size, colour, and position, can be customised.
Depends: R (>= 3.1.3)
Imports: base64enc, knitr, rlang, htmltools, glue, rappdirs, xml2, stringr, jsonlite, cli, utils, vctrs
Suggests: rsvg, gh, rmarkdown, pillar, shiny, testthat (>= 3.0.0)
URL: https://pkg.mitchelloharawild.com/icons/, https://github.com/mitchelloharawild/icons
BugReports: https://github.com/mitchelloharawild/icons/issues
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-08-23 11:38:49 UTC; mitchell
Author: Mitchell O'Hara-Wild [aut, cre] , Earo Wang [ctb] , Timothy Hyndman [ctb] , Matthew Warkentin [ctb] , Tom Jemmett [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Repository: CRAN
Date/Publication: 2026-09-03 12:10:14 UTC

More information about icons at CRAN
Permanent link

New package graphvec with initial version 0.1.0
Package: graphvec
Version: 0.1.0
Title: Vectorised Graph Data Structures
Description: Extends vectors to include graph relationships between their elements, and offers tools to compute useful summaries of the graph structure for use in summarising, filtering, and otherwise manipulating the graph. Node identity is positional rather than value-based, so isolated nodes and repeated values are represented without special handling. Three complementary data structures are provided, each an ordinary vector that stays a column in a data frame and slices consistently with it: 'node_vec' is vectorised along the nodes of a graph, 'edge_vec' is vectorised along its edges, and 'agg_vec' (with the tabular 'agg_df') represents the aggregation structure common in data analysis, such as a total row over a set of categories. This makes graph relationships a native part of tidy rectangular data analysis workflows, alongside tools such as those in 'dplyr'. Each of these can also be converted to 'igraph' objects for further analysis.
License: MIT + file LICENSE
Imports: tibble
Suggests: crayon, dplyr, igraph, pillar, testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://pkg.mitchelloharawild.com/graphvec/, https://github.com/mitchelloharawild/graphvec
BugReports: https://github.com/mitchelloharawild/graphvec/issues
NeedsCompilation: no
Packaged: 2026-08-20 13:54:47 UTC; mitchell
Author: Mitchell O'Hara-Wild [aut, cre]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Repository: CRAN
Date/Publication: 2026-09-03 12:40:02 UTC

More information about graphvec at CRAN
Permanent link

New package Compositionalasmr with initial version 1.0
Package: Compositionalasmr
Title: The alpha-Spatial Median Regression for Compositional Data
Version: 1.0
Date: 2026-08-20
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Compositional, minpack.lm, parallel, rangen, Rfast, stats
Suggests: Rfast2
Description: The alpha-spatial median regression is performed via the iteretively reweighted least squares algorithm. At first the alpha-transformation of Tsagris, Preston and Wood (2011) <doi:10.48550/arXiv.1106.1451> is applied and then the non-linear regression model is fitted.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-08-20 09:12:36 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-09-03 12:20:27 UTC

More information about Compositionalasmr at CRAN
Permanent link

New package awkreader with initial version 0.1.0
Package: awkreader
Title: File Reading with Pre-Filtering, Pattern Searching, and Distributed Files
Version: 0.1.0
Description: Provides high-performance tools for out-of-core text processing and data ingestion by leveraging system 'AWK' utilities. Allows users to count records, filter rows, and compute streaming aggregations—such as group-by means, streaming medians, standard deviations, and correlations—directly on disk prior to reading data into R. By delegating line-by-line filtering and summarization to system-level 'AWK' commands and streaming results back through data.table::fread(), the package significantly reduces memory footprint and execution times when working with large individual files or multi-file directory structures.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: data.table
NeedsCompilation: no
Packaged: 2026-08-23 16:23:18 UTC; akshat
Author: David Shilane [aut], Akshat Maurya [aut, cre], Jason Livingston [aut], Chung-Woo Lee [aut], Mayur Bansal [aut], Srivastav Budugutta [aut]
Maintainer: Akshat Maurya <codingmaster902@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 12:20:11 UTC

More information about awkreader at CRAN
Permanent link

New package PTLENKies with initial version 0.1.0
Package: PTLENKies
Title: Computation of PTLENKies Distribution Properties
Version: 0.1.0
Author: Mintode Nicodeme Atchade [aut], Theophile Otodji [aut, cre]
Maintainer: Theophile Otodji <otodjitheodule@gmail.com>
Description: Implements statistical tools for analyzing, simulating, and computing properties of the Power Topp Leone Exponential Negative Kies Burr (PTLENKBurr). See Atchadé M, Otodji T, and Djibril A (2024) <doi:10.1063/5.0179458> and Atchadé M, Otodji T, Djibril A, and N'bouké M (2023) <doi:10.1515/phys-2023-0151> for details.
Depends: R (>= 4.1.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Language: en
Imports: graphics, stats
NeedsCompilation: no
Packaged: 2026-08-04 08:54:43 UTC; Théophile OTODJI
Repository: CRAN
Date/Publication: 2026-09-03 11:50:47 UTC

More information about PTLENKies at CRAN
Permanent link

New package pcatR with initial version 1.0.1
Package: pcatR
Title: Analyze and Visualize Pragmatic Context Assessment Tool Data
Version: 1.0.1
Description: Provides a reproducible workflow for importing, validating, classifying, summarizing, visualizing, and reporting responses to the 14-item Pragmatic Context Assessment Tool (pCAT). The package preserves the instrument's two-part response structure, supports original and updated Consolidated Framework for Implementation Research (CFIR) mappings, describes team agreement and disagreement, compares repeated assessments, and creates implementation action-planning outputs. It does not calculate or claim a validated total pCAT scale score. The instrument is described by Robinson and Damschroder (2023) <doi:10.1186/s43058-022-00380-5>; updated CFIR mappings are from Domlyn et al. (2026) <doi:10.1186/s43058-026-00956-5>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), grDevices, grid, stats, utils
Suggests: covr, knitr, pkgdown, rmarkdown, shiny, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
URL: https://github.com/JaeManP/pcatR, https://jaemanp.github.io/pcatR/
BugReports: https://github.com/JaeManP/pcatR/issues
Packaged: 2026-08-21 23:25:50 UTC; runner
Author: Lilac Li [aut, cph] , Jae Man Park [cre, cph]
Maintainer: Jae Man Park <jaemanblp2@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 11:40:02 UTC

More information about pcatR at CRAN
Permanent link

New package normalblockr with initial version 0.2.1
Package: normalblockr
Title: Gaussian Graphical Models with Latent Clustering Structure
Version: 0.2.1
Description: Implements the Normal-Block model, a Gaussian graphical model with a latent clustering structure for the multivariate analysis of continuous data. The model clusters variables and, building on the graphical lasso, infers a network of statistical dependencies between clusters rather than between individual variables, for known or unknown clusterings, with an optional zero-inflation extension for data with an excess of exact zeros. See Tous & Chiquet (2026) <doi:10.1016/j.csda.2026.108347> for the model itself and its variational expectation-maximization estimation procedure.
License: GPL (>= 3)
URL: https://github.com/jchiquet/normalblockr
BugReports: https://github.com/jchiquet/normalblockr/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: glassoFast, Matrix, dplyr, tidyr, tibble, purrr, R6, ggplot2, igraph, sbm, corrplot, scales, MASS, stats, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), aricode, covr, Metrics, rmarkdown, pheatmap, paletteer, ggthemes, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-08-20 11:30:04 UTC; jchiquet
Author: Jeanne Tous [aut], Julien Chiquet [aut, cre]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>
Repository: CRAN
Date/Publication: 2026-09-03 12:00:02 UTC

More information about normalblockr at CRAN
Permanent link

New package modMStates with initial version 0.0.1
Package: modMStates
Title: Simulation and Estimation of Continuous-Time Multi-State Markov Models for Panel Data
Version: 0.0.1
Description: A higher-level interface to continuous-time Markov multi-state models for panel (interval-censored) data. Seven canonical clinical process structures are supplied with structurally valid generator matrices, so that transition matrices and starting values need not be constructed by hand. Panel data can be simulated from exact trajectories under regular or irregular observation schedules, with optional exactly observed absorption times and optional Weibull holding times for assessing the Markov assumption. A single fitting call validates the input against the assumed structure and returns the estimated generator with confidence intervals, mean sojourn times, transition probability matrices and observed transition counts, together with the optimiser's convergence code. A Monte Carlo driver reports Monte Carlo standard errors alongside bias, root mean squared error and interval coverage. Likelihood evaluation is delegated to 'msm' (Jackson, 2011, <doi:10.18637/jss.v038.i08>); the pan [...truncated...]
License: GPL-3
Encoding: UTF-8
Language: en-GB
Depends: R (>= 3.5.0)
Imports: msm (>= 1.6), stats, utils
Suggests: testthat (>= 3.0.0), survival
URL: https://github.com/infinitebstats/modMStates
BugReports: https://github.com/infinitebstats/modMStates/issues
NeedsCompilation: no
Packaged: 2026-08-23 10:14:21 UTC; root
Author: Atanu Bhattacharjee [aut, cre, ctb], Akash Pawar [aut, ctb]
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 11:50:13 UTC

More information about modMStates at CRAN
Permanent link

New package magp with initial version 0.8.0
Package: magp
Title: Mapping-Based Additive Gaussian Process Models
Version: 0.8.0
Description: Fits mapping-based additive Gaussian process models for experiments in which each component has both a quantitative level and a position in an ordered sequence. Two model structures are available: a compact two-dimensional mapping and a full mapping with one fewer dimension than the number of components. Both models support parameter estimation, point prediction, and plug-in predictive uncertainty. Input checks validate the sequence data and apply consistent scaling to the quantitative inputs. Computationally intensive covariance and gradient calculations are implemented in C++ with 'Rcpp'. The model was introduced by Xiao et al. (2024) <doi:10.1080/01621459.2022.2123335>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp, nloptr, stats
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-08-22 03:51:29 UTC; skr
Author: Tony Wang [aut, cre, cph], Qian Xiao [aut, cph], Yaping Wang [cph], Abhyuday Mandal [cph], Xinwei Deng [cph]
Maintainer: Tony Wang <wangtony883@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 11:40:09 UTC

More information about magp at CRAN
Permanent link

New package iop with initial version 0.1.0
Package: iop
Title: Inflated Ordered Probit and Logit Models
Version: 0.1.0
Description: Estimation, inference, and quantities of interest for ordered probit and ordered logit models whose outcome contains an inflated category: a single ordered category (bottom, middle, top, or any other) that mixes observations generated by the ordered process with observations generated by a distinct split-population process. Fits the zero-inflated ordered probit of Harris and Zhao (2007) <doi:10.1016/j.jeconom.2007.01.002> and its middle- and top-inflated extensions (Bagozzi and Mukherjee 2012 <doi:10.1093/pan/mps020>; Bagozzi, Hill, Moore and Mukherjee 2015 <doi:10.1177/0022002713520530>; Bagozzi, Joo and Mukherjee 2024 <doi:10.1093/fpa/orae006>), generalized to an arbitrary inflated category and to the logit link, with optional correlated errors for the probit form, plus the standard ordered probit and logit and their partial proportional-odds (non-parallel) variants on the same footing. Provides analytic, robust, and cluster-robust standard errors, survey weig [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: Rcpp, stats, graphics, methods, numDeriv, MASS
LinkingTo: Rcpp
Suggests: ordinal, VGAM, mvtnorm, pbivnorm, sandwich, DHARMa, testthat (>= 3.0.0), knitr, rmarkdown, broom, modelsummary, texreg, parallel, AER
VignetteBuilder: knitr
URL: https://github.com/bagozzib/iop, https://bagozzib.github.io/iop/
BugReports: https://github.com/bagozzib/iop/issues
NeedsCompilation: yes
Packaged: 2026-08-23 10:03:41 UTC; bagoz
Author: Benjamin E. Bagozzi [aut, cre]
Maintainer: Benjamin E. Bagozzi <bagozzib@udel.edu>
Repository: CRAN
Date/Publication: 2026-09-03 11:50:24 UTC

More information about iop at CRAN
Permanent link

New package golosovRST with initial version 0.0.1
Package: golosovRST
Title: Golosov Relative Size Triangle Classification and Plotting
Version: 0.0.1
Description: Computes coordinates for the Golosov Relative Size Triangle (RST), classifies party-system observations into Golosov subtypes using polygon mapping and produces publication-ready Relative Size Triangle plots. Method reference: Golosov, G. V. (2011) "Party system classification: A methodological inquiry" <doi:10.1177/1354068810377189>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, rlang
Suggests: sf, testthat (>= 3.0.0), dplyr
NeedsCompilation: no
Packaged: 2026-08-17 09:22:10 UTC; 39333
Author: Federico Taddei [aut, cre]
Maintainer: Federico Taddei <federico.taddei@unimi.it>
Repository: CRAN
Date/Publication: 2026-09-03 11:50:37 UTC

More information about golosovRST at CRAN
Permanent link

New package geolibre with initial version 0.2.0
Package: geolibre
Title: Interactive GIS with 'GeoLibre'
Version: 0.2.0
Description: Embeds the full 'GeoLibre' geographic information system in 'R Markdown', 'Quarto', 'Shiny', and the 'RStudio' Viewer. Create maps from 'GeoJSON' and 'sf' objects, markers, heatmaps, and tabular coordinates; add 'Cloud Optimized GeoTIFF', 'XYZ', 'WMS', 'WMTS', 'WFS', 'PMTiles', vector tile, '3D Tiles', and video sources; classify choropleths, arrange layers, and add legends, colorbars, and split-map comparisons. Control the camera, export standalone 'HTML', and read and write '.geolibre.json' project files. The underlying application is described in Wu (2026) <doi:10.5281/zenodo.20785400>.
License: MIT + file LICENSE
URL: https://r.geolibre.app, https://github.com/opengeos/geolibre-r, https://geolibre.app
BugReports: https://github.com/opengeos/geolibre-r/issues
Depends: R (>= 4.1.0)
Imports: htmlwidgets, jsonlite, utils
Suggests: sf, shiny, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-08-23 01:48:43 UTC; qiusheng
Author: Qiusheng Wu [aut, cre], Open Geospatial Solutions [cph]
Maintainer: Qiusheng Wu <giswqs@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 11:30:02 UTC

More information about geolibre at CRAN
Permanent link

New package essential8 with initial version 0.1.0
Package: essential8
Title: Reproducible Cardiovascular Health Metric Scoring
Version: 0.1.0
Description: Provides a reproducible R implementation of the American Heart Association Life's Essential 8 cardiovascular health scoring framework for complete adult records from people aged 20 years or older. Calculates the eight component scores and their unweighted composite score using the 2022 adult definition described by Lloyd-Jones et al. (2022) <doi:10.1161/CIR.0000000000001078>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://thatoneguy006.github.io/essential8/, https://github.com/thatoneguy006/essential8
BugReports: https://github.com/thatoneguy006/essential8/issues
NeedsCompilation: no
Packaged: 2026-08-23 01:51:46 UTC; Carso
Author: Carson Richardson [aut, cre, cph]
Maintainer: Carson Richardson <carson.richardson@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-03 11:20:09 UTC

More information about essential8 at CRAN
Permanent link

New package EpiLossR with initial version 0.1.0
Package: EpiLossR
Title: Economic Loss Estimation for Animal Disease Mortality and Morbidity
Version: 0.1.0
Date: 2026-08-01
Description: Provides standardized tools for estimating direct economic losses associated with mortality and morbidity in animal diseases. The package implements reproducible methods for calculating mortality- and morbidity-related losses using a common S3 object framework with methods for summarization, visualization, and data export. It is intended for veterinary epidemiologists, animal health economists, veterinarians, researchers, and students. The methods are informed by Rushton (2009, ISBN:9781845936934) and Bennett (2003, ISBN:9780851996224).
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
ByteCompile: true
Depends: R (>= 4.2.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/vinodhpmd/EpiLossR
BugReports: https://github.com/vinodhpmd/EpiLossR/issues
NeedsCompilation: no
Packaged: 2026-08-23 11:17:20 UTC; m
Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 12:00:22 UTC

More information about EpiLossR at CRAN
Permanent link

New package ccwr with initial version 0.0.2
Package: ccwr
Title: Clone-Censor-Weight Methods for Target Trial Emulation
Version: 0.0.2
Description: Provides methods for clone-censor-weight analyses that emulate target trials with grace-period treatment strategies using observational time-to-event data. Tools clone participants across strategies, apply strategy-specific artificial censoring, and estimate inverse probability of censoring weights using pooled logistic or Cox models, fit weighted outcome models, and obtain subject-level bootstrap confidence intervals by repeating the complete analysis. The methods are described by Maringe et al. (2020) <doi:10.1093/ije/dyaa057> and Gaber et al. (2024) <doi:10.1002/cam4.70461>.
License: MIT + file LICENSE
Copyright: See inst/COPYRIGHTS
URL: https://github.com/CausalInferenceLab/ccwr
BugReports: https://github.com/CausalInferenceLab/ccwr/issues
Encoding: UTF-8
Depends: R (>= 4.4.0)
Imports: dplyr, readr, survival, tibble, rlang, glue
Suggests: knitr, rmarkdown, testthat (>= 3.2.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-20 23:02:09 UTC; sanghopark
Author: Sang Ho Park [aut, cre], Youngrok Lee [aut], Jihyeon Baek [aut], Hye Won Yang [aut], Donghoon Jeong [aut]
Maintainer: Sang Ho Park <shstat1729@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 12:00:16 UTC

More information about ccwr at CRAN
Permanent link

New package biohttp with initial version 0.1.2
Package: biohttp
Title: Normalized HTTP Transport with Circuit Breaking and Caching
Version: 0.1.2
Description: Web service calls return a normalized result value instead of raising a condition, so a caller branches on data rather than on an error handler. Transport failure, a non-success status code, and an unreadable response body are reported as three distinct outcomes. Per-host circuit breaking, retry with a transient-failure predicate, optional throttling, redacted request headers, and a success-only cache come as defaults. Many questions to one source can be asked as a single batch, where only the entries the cache is missing reach the network. Service-specific knowledge is left to the client packages built on top. The circuit breaker is the pattern described in Nygard (2018, ISBN:9781680502398).
License: MIT + file LICENSE
URL: https://github.com/samuelbharti/biohttp, https://www.samuelbharti.com/biohttp/
BugReports: https://github.com/samuelbharti/biohttp/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0)
Imports: cachem, curl, httr2, jsonlite, rlang, tools
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), webfakes, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-23 03:19:46 UTC; Samuel
Author: Samuel Bharti [aut, cre, cph]
Maintainer: Samuel Bharti <samuelbharti.io@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 11:50:41 UTC

More information about biohttp at CRAN
Permanent link

New package biobouncer with initial version 0.1.4
Package: biobouncer
Title: Validate Biological Identifiers and Inputs
Version: 0.1.4
Description: Gene symbols, ontology terms, variant formats, and database accessions are validated through one small application programming interface (API), either offline against identifier patterns and bundled snapshots or live against a source web service. Results are designed to match those of the companion 'Python' package for the same inputs. Input order and length are preserved, and errors are reported explicitly rather than as a silent failure. Identifier patterns follow the registry and nomenclature described in Hoyt et al. (2022) <doi:10.1038/s41597-022-01807-3> and den Dunnen et al. (2016) <doi:10.1002/humu.22981>.
License: MIT + file LICENSE
URL: https://github.com/samuelbharti/biobouncer, https://www.samuelbharti.com/biobouncer/r/
BugReports: https://github.com/samuelbharti/biobouncer/issues
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: checkmate, cli, curl, jsonlite, tibble, tools, utils, yaml
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-22 22:09:12 UTC; Samuel
Author: Samuel Bharti [aut, cre, cph]
Maintainer: Samuel Bharti <samuelbharti.io@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 11:20:15 UTC

More information about biobouncer at CRAN
Permanent link

Wed, 02 Sep 2026

New package scalednap with initial version 1.0.0
Package: scalednap
Title: Community Detection by Scaled Null-Adjusted Persistence
Version: 1.0.0
Description: Finds the vertex partition of an undirected graph that maximises a persistence-based objective, using the Milano local-search algorithm. Three related quality measures are supported: the persistence probability of a community, its null-adjusted persistence (NAP), and the scaled null-adjusted persistence (Scaled-NAP), which interpolates between NAP and modularity. The methods are described in Avellone et al. (2023) <doi:10.1007/s10288-023-00559-z> and Avellone et al. (2025) <doi:10.1016/j.ins.2025.123032>.
License: GPL (>= 2)
Encoding: UTF-8
SystemRequirements: C++20
URL: https://github.com/aavellone/scalednap-r
BugReports: https://github.com/aavellone/scalednap-r/issues
Suggests: igraph, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-08-22 22:18:09 UTC; ale
Author: Alessandro Avellone [aut, cre], Paolo Bartesaghi [aut], Stefano Benati [aut], Rosanna Grassi [aut]
Maintainer: Alessandro Avellone <alessandro.avellone@unimib.it>
Repository: CRAN
Date/Publication: 2026-09-02 22:10:02 UTC

More information about scalednap at CRAN
Permanent link

New package BivKLD with initial version 0.1.0
Package: BivKLD
Title: Bivariate Kullback-Leibler Divergence
Version: 0.1.0
Date: 2026-08-22
Description: Estimates the directed Kullback-Leibler divergence between two bivariate continuous distributions by numerical integration of kernel density estimates. Also computes pairwise divergences among groups and exact divergences for discrete, bivariate normal, bivariate Pareto type II, and independent bivariate Weibull models. The kernel estimator follows Chackochan, Sankaran and Nair (2026) <doi:10.1080/03610926.2025.2496687>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ks
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-22 19:56:54 UTC; Saurav Singla
Author: Saurav Singla [aut, cre], Rafflesia Chackochan [aut]
Maintainer: Saurav Singla <s00singla@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-02 21:30:09 UTC

More information about BivKLD at CRAN
Permanent link

New package dScoreTest with initial version 1.0.0
Package: dScoreTest
Title: Debiased Score Tests for Goodness of Fit and Model Comparison
Version: 1.0.0
Description: Debiased (Neyman-orthogonalized) score tests for assessing whether a semiparametric or parametric regression model is well-specified and for comparing nested models. The test employs a hunt-and-test strategy: on a held-out hunt sample, it fits the null model and uses machine learning to find a direction in which the null model's score seems positive; on an independent test sample, it assesses the significance of the score in the hunted direction. The test employs orthogonalization to eliminate the bias from estimating the null model, yielding a test statistic that is asymptotically standard normal under the null without requiring a parametric form for the alternative. Methods are provided for 'glm', 'lm' and 'mgcv::gam' fits as well as for detecting heterogeneous treatment effects. The methodology is described in Dhawan, Guo and Shah (2026) <doi:10.48550/arXiv.2607.28861>.
URL: https://unbiased.co.in/dScoreTest/, https://github.com/richardkwo/dScoreTest
BugReports: https://github.com/richardkwo/dScoreTest/issues
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: grf, mgcv
Suggests: knitr, rmarkdown, speff2trial, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-20 12:12:54 UTC; ricguo
Author: F. Richard Guo [aut, cre, cph] , Aditya Dhawan [aut]
Maintainer: F. Richard Guo <ricguo@umich.edu>
Repository: CRAN
Date/Publication: 2026-09-02 20:20:02 UTC

More information about dScoreTest at CRAN
Permanent link

New package rollcast with initial version 0.1.0
Package: rollcast
Title: Probabilistic Forecasting with Adaptive Mixtures of Rolling Statistics
Version: 0.1.0
Description: Implements a probabilistic time-series forecasting framework based on adaptive mixtures of rolling statistical anchors. Rolling means, medians, minimum and maximum values, regression endpoints, and user-specified quantiles define candidate forecast locations. A proper-score gating model assigns state-dependent mixture weights, optional state-conditional residual sampling adds local dispersion, and recursive simulation produces marginal and joint predictive distributions. Numeric hyperparameters can be supplied as scalars or candidate vectors for causal validation-based selection.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.12), stats, graphics, grDevices, utils
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-08-21 07:09:06 UTC; gianc
Author: Giancarlo Vercellino [aut, cre]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-02 12:30:02 UTC

More information about rollcast at CRAN
Permanent link

New package mwana with initial version 0.2.5
Package: mwana
Title: An Efficient Workflow for Plausibility Checks and Prevalence Analysis of Wasting in R
Version: 0.2.5
Description: A simple and streamlined workflow for plausibility checks and prevalence analysis of wasting based on the Standardized Monitoring and Assessment of Relief and Transition (SMART) Methodology <https://smartmethodology.org/>, with application in R.
License: GPL (>= 3)
Depends: R (>= 4.1)
Imports: dplyr, lubridate, nipnTK, rlang, scales, srvyr (>= 1.3.0), stats, zscorer, tibble, methods, purrr
Suggests: knitr, rmarkdown, quarto, spelling, testthat (>= 3.0.0),
Encoding: UTF-8
Language: en-GB
LazyData: true
URL: https://github.com/mphimo/mwana, https://mphimo.github.io/mwana/
BugReports: https://github.com/mphimo/mwana/issues
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-08-22 16:39:54 UTC; tomaszaba
Author: Tomas Zaba [aut, cre, cph] , Ernest Guevarra [aut, cph] , Mark Myatt [aut]
Maintainer: Tomas Zaba <tomas.zaba@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-02 12:20:02 UTC

More information about mwana at CRAN
Permanent link

New package ExperimentalDesignGeneratorandRandomiser with initial version 0.1.0
Package: ExperimentalDesignGeneratorandRandomiser
Version: 0.1.0
Date: 2026-08-22
Title: 'EDGAR': Experimental Design Generator and Randomiser
Description: Native R implementation of 'EDGAR', the Experimental Design Generator and Randomiser. 'EDGAR' was originally developed as a suite of 'Excel' <https://www.microsoft.com/microsoft-365/excel> workbooks by the Biometrics team at Rothamsted Research <http://www.edgarweb.org.uk/>. The algorithms were subsequently re-implemented in the open-source 'Python' <https://www.python.org/> project 'rotsl/edgar' <https://rotsl.github.io/edgar/>, distributed as the 'edgar-design' package on 'PyPI' <https://pypi.org/project/edgar-design/>. This R package is a native R port of that 'Python' implementation: it does not require 'Python', 'reticulate' <https://CRAN.R-project.org/package=reticulate>, or any external service at runtime, and provides deterministic, reproducible randomisation for nine experimental designs including alpha designs (Patterson and Williams, 1976) <doi:10.1093/biomet/63.1.83>. Cross-language reproducibility with the 'Python' implementation i [...truncated...]
Maintainer: BiologyAutomation <phonics-tiffs1i@icloud.com>
URL: https://github.com/biologyautomation/edgar-r, https://rotsl.github.io/edgar/, http://www.edgarweb.org.uk/
BugReports: https://github.com/biologyautomation/edgar-r/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6)
Suggests: jsonlite, openxlsx, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-22 16:42:43 UTC; tslwork
Author: Rohan R [aut, cph] , BiologyAutomation [cre]
Repository: CRAN
Date/Publication: 2026-09-02 12:30:13 UTC

More information about ExperimentalDesignGeneratorandRandomiser at CRAN
Permanent link

New package biopalette with initial version 0.2.2
Package: biopalette
Title: Image-Inspired Color Palettes for Biomedical Visualization
Version: 0.2.2
Description: Provides a curated collection of image-inspired color palettes for biomedical visualization. The palettes are organized as qualitative, sequential, or diverging scales and include documented source context and intended use. The package provides functions to retrieve, inspect, preview, and apply these palettes in base R and 'ggplot2' graphics, together with utilities for working with palette definitions.
License: MIT + file LICENSE
URL: https://github.com/evanbio/biopalette, https://evanbio.github.io/biopalette/
BugReports: https://github.com/evanbio/biopalette/issues
Depends: R (>= 4.1)
Imports: cli, ggplot2, jsonlite, scales
Encoding: UTF-8
Language: en-US
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-08-22 15:45:05 UTC; 84241
Author: Yibin Zhou [aut, cre]
Maintainer: Yibin Zhou <evanzhou.bio@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-02 12:10:02 UTC

More information about biopalette at CRAN
Permanent link

New package rhythm.metrics with initial version 1.1.0
Package: rhythm.metrics
Title: Analyse and Visualise Speech Rhythm and Timing Metrics
Version: 1.1.0
Description: Calculates and visualises speech rhythm and timing metrics. The 'rhythm.metrics' package provides a standardised workflow to compute common metrics including Delta C, Delta V, VarcoC, VarcoV, the percentage of vocalic intervals (%V), and both raw and normalised Pairwise Variability Indices (rPVI, nPVI). It includes functions for calculating and visualising these measures to facilitate cross-linguistic and developmental rhythm research. Delta C, Delta V, and %V measures are based on Ramus et al. (1999) <doi:10.1016/S0010-0277(99)00058-X>; VarcoC and VarcoV measures are based on Dellwo (2006, ISBN: 9783631554777); and rPVI-C and nPVI-V are based on Grabe & Low (2002) <doi:10.1515/9783110197105.2.515>.
License: GPL (>= 3)
Depends: R (>= 4.5.0)
Imports: dplyr, ggplot2, ggsci, magrittr, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-08-22 12:00:38 UTC; Cong
Author: Cong Zhang [aut, cre]
Maintainer: Cong Zhang <cong.zhang@newcastle.ac.uk>
Repository: CRAN
Date/Publication: 2026-09-02 11:50:02 UTC

More information about rhythm.metrics at CRAN
Permanent link

New package nethist with initial version 1.0.0
Package: nethist
Title: Network Histograms
Version: 1.0.0
Date: 2026-08-17
Maintainer: Youngseok Song <youngseok.song@mail.wvu.edu>
Description: Estimates network histograms, a blockmodel approximation to the graphon underlying a network's connectivity pattern, for both single-layer and multilayer networks. Implements graphon estimation methods including the profile-likelihood method of Olhede and Wolfe (2014) <doi:10.1073/pnas.1400374111> and the least-squares method of Gao, Lu, and Zhou (2015) <doi:10.1214/15-AOS1354> for single-layer networks, and the multilayer extension of Song and Olhede (2026) <doi:10.48550/arXiv.2608.14536>.
SystemRequirements: Fortran compiler (for linking LAPACK/BLAS via 'RcppArmadillo')
Suggests: testthat (>= 3.0.0), tinytest, igraphdata, xml2, knitr, rmarkdown, Matrix, network, ergm.multi, lifecycle, withr, mclust, plot3D
Encoding: UTF-8
Imports: lattice, methods, Rcpp(>= 1.0.9), stats, RSpectra, ggplot2, ggtext, graphics, reshape2, igraph, rlang
LinkingTo: Rcpp, RcppArmadillo, testthat
Depends: R (>= 3.5.0)
LazyData: true
URL: https://enigmasong.github.io/nethist/
BugReports: https://github.com/EnigmaSong/nethist/issues
License: MIT + file LICENSE
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-08-22 05:04:09 UTC; ys00030
Author: Youngseok Song [aut, cre], Sofia C. Olhede [aut]
Repository: CRAN
Date/Publication: 2026-09-02 11:30:02 UTC

More information about nethist at CRAN
Permanent link

New package ltgsmd with initial version 0.2.2
Package: ltgsmd
Title: Latent True-Score and Target-Population Anchored Geometric SMD
Version: 0.2.2
Description: Implements the latent true-score and target-population anchored geometric standardized mean difference (LTG-SMD) framework for two-group effect-size analysis. Provides plug-in estimation, analytic delta-method confidence intervals using a sample fourth-moment plug-in, bias-corrected and bias-corrected-accelerated nonparametric bootstrap confidence intervals with study x group stratification, denominator-sensitivity profiles, and multi-site meta-analytic wrappers. Includes denominator-diagnostic reporting, a pluggable reliability estimator interface, and an explicit interface for specifying the target reference distribution. Companion software to the methodological paper "The Denominator Chooses the Estimand: A Target-Population True-Score Framework for Standardized Mean Differences" (Nakamura, in press, Psychological Methods).
License: MIT + file LICENSE
URL: https://doi.org/10.17605/OSF.IO/KW9R6
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats
Suggests: boot, metafor, psych, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-22 06:39:42 UTC; root
Author: Daiki Nakamura [aut, cre]
Maintainer: Daiki Nakamura <nakamura@miyazaki-u.ac.jp>
Repository: CRAN
Date/Publication: 2026-09-02 11:30:09 UTC

More information about ltgsmd at CRAN
Permanent link

New package ggstratify with initial version 0.0.1
Package: ggstratify
Title: Fast Stratified Descriptive Figures with a Point-and-Click GUI
Version: 0.0.1
Description: A point-and-click 'shiny' interface for the descriptive analysis that comes before any model is chosen. Pass a data frame, pick the variable to describe, and add the layers you want to see it within: a second variable becomes the panels of a 'ggplot2' facet_wrap(), and further variables become separate figures, one file each, taken either one variable at a time or crossed. Every stratum is reported with the number of observations behind it, on the figure and on each of its panels; strata that contain none are listed rather than dropped, and rows with a missing value in a layer variable are excluded and counted. A continuous variable can be categorized into quantile groups, equal-width bins or user-supplied cut points and then used as a layer; the figure types follow those offered by the 'ggplotgui' package and add the line plot for change over time, an optional LOWESS smoother, and the Kaplan-Meier curve estimated by 'survival', with an optional number-at-risk table. Columns are descri [...truncated...]
License: GPL-3
URL: https://github.com/AkiShiroshita/ggstratify, https://akishiroshita.github.io/ggstratify/
BugReports: https://github.com/AkiShiroshita/ggstratify/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: bslib (>= 0.5.0), checkmate (>= 2.1.0), data.table (>= 1.14.0), ggplot2 (>= 3.4.0), grDevices, patchwork (>= 1.1.0), ragg, shiny (>= 1.7.0), stats, survival (>= 3.2.0), utils
Suggests: knitr, rmarkdown, svglite (>= 2.1.0), testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-22 09:00:30 UTC; shiroa1
Author: Akihiro Shiroshita [aut, cre, cph], Yuki Kataoka [aut]
Maintainer: Akihiro Shiroshita <akihirokun8@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-02 11:40:02 UTC

More information about ggstratify at CRAN
Permanent link

New package flexsynth with initial version 0.2.1
Package: flexsynth
Title: Flexible Synthetic Data for Nested, Longitudinal and Linked Multi-Table Data
Version: 0.2.1
Description: Generates utility-oriented synthetic data for supported flat, nested, longitudinal and tree-linked multi-table designs, including patients, admissions, procedures and laboratory results linked by identifiers. The default engine uses sequential conditional synthesis; an opt-in differentially private engine implements person-level (epsilon, delta) mechanisms and records their budget accounting. Synthetic output is not anonymisation. Empirical utility and disclosure-risk diagnostics are descriptive and do not by themselves establish that a release is safe.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: graphics, grDevices, parallel, stats, utils
Suggests: testthat (>= 3.0.0), rpart, ranger, partykit, data.table, knitr, litedown
VignetteBuilder: litedown
URL: https://github.com/lauyeehow1986-hub/Flexsynth
BugReports: https://github.com/lauyeehow1986-hub/Flexsynth/issues
NeedsCompilation: no
Packaged: 2026-08-19 00:32:29 UTC; lauye
Author: Yee How Lau [aut, cre]
Maintainer: Yee How Lau <lauyeehow1986@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-02 12:00:02 UTC

More information about flexsynth at CRAN
Permanent link

New package BKVerify with initial version 0.1.1
Package: BKVerify
Title: Consistency Auditing of Reported Plant Breeding Statistics
Version: 0.1.1
Description: Audits published or draft plant breeding tables for internal arithmetic consistency. Analysis of variance tables, precision statistics and genetic variability parameters are jointly over-determined by exact algebraic identities; 'BKVerify' recomputes every derivable quantity using rounding-interval arithmetic and reports a value as inconsistent only when no combination of values inside the reported rounding intervals can satisfy the identity. The package deliberately restricts itself to relationships that hold irrespective of which variance-component definition an author adopted, so that flagged results reflect arithmetic inconsistency rather than methodological disagreement. Implemented checks cover analysis of variance internal structure, coefficient of variation, standard error of mean and critical difference, the genetic advance identity of Johnson, Robinson and Comstock (1955) <doi:10.2134/agronj1955.00021962004700070009x>, the relation between genotypic and phenotypic coeff [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-22 09:41:37 UTC; ASUS
Author: Praveen Kumar [aut, cre]
Maintainer: Praveen Kumar <bkpraveenars@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-02 11:40:08 UTC

More information about BKVerify at CRAN
Permanent link

Tue, 01 Sep 2026

New package FitVerse with initial version 1.0-1
Package: FitVerse
Title: Parametric Distribution Fitting and Analysis
Version: 1.0-1
Date: 2026-08-09
Description: Provides a unified, user-friendly interface for fitting parametric probability distributions to continuous univariate data. 'FitVerse' supports 52 distribution families spanning symmetric, right-skewed, heavy-tailed, bounded, and extreme-value shapes, and three estimation methods: Maximum Likelihood Estimation (MLE), Method of Moments (MOM), and L-Moments (L-MOM). Automatic best-fit selection is performed using AIC, BIC, and goodness-of-fit tests (Kolmogorov-Smirnov, Anderson-Darling, Cramer-von Mises (CvM)). Every fitted model produces a publication-quality diagnostic plot: a histogram overlaid with the fitted density curve and the estimated PDF formula annotated directly on the figure. An optional interactive version is produced via 'plotly'. Additional tools include bootstrap confidence intervals for parameter estimates and return levels, batch fitting across multiple columns for automated workflows and web-upload use cases, JSON serialisation for integration with 'Shiny' web applic [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics, grDevices, utils, tools, actuar (>= 3.1.0), mc2d (>= 0.1.18), evd (>= 2.3.3), sn (>= 2.1.0), fitdistrplus (>= 1.1.0), lmomco (>= 2.3.7), ggplot2 (>= 3.4.0), goftest (>= 1.2.3), gridExtra (>= 2.3)
Suggests: shiny (>= 1.7.0), bslib (>= 0.5.0), DT, plotly (>= 4.10.0), testthat (>= 3.0.0), knitr (>= 1.40), rmarkdown (>= 2.20), kableExtra, jsonlite (>= 1.8.0), base64enc, MASS, GeneralizedHyperbolic, truncnorm
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-22 01:24:26 UTC; karunareddy
Author: Karuna G. Reddy [aut, cre] , M. G. M. Khan [aut]
Maintainer: Karuna G. Reddy <karuna.reddy@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2026-09-01 14:20:02 UTC

More information about FitVerse at CRAN
Permanent link

New package getaca with initial version 0.1.6
Package: getaca
Title: Reproducible External Data Dependencies
Version: 0.1.6
Language: en-GB
Description: Declares, retrieves, verifies, tracks and actively manages external data dependencies too large or too fast-moving to ship inside a package. Resources are identified by package, name and version, pinned to a Secure Hash Algorithm (SHA-256) checksum, and resolved through an explicit policy so that the same installed package always resolves the same bytes. A registry served from a remote host may be signed with Ed25519 and verified against a key the declaring package ships, so the declaration and the key that vouches for it arrive by different routes. Hashing follows National Institute of Standards and Technology (2015) "Secure Hash Standard" <doi:10.6028/NIST.FIPS.180-4>; signing follows Bernstein, Duif, Lange, Schwabe and Yang (2012) "High-Speed High-Security Signatures" <doi:10.1007/s13389-012-0027-1> and Josefsson and Liusvaara (2017) "Edwards-Curve Digital Signature Algorithm (EdDSA)" <doi:10.17487/RFC8032>. Designed for reproducible offline use and graceful behavi [...truncated...]
License: MIT + file LICENSE
URL: https://gillescolling.com/getaca/, https://github.com/gcol33/getaca
BugReports: https://github.com/gcol33/getaca/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: curl (>= 5.0.0), stats, tools, utils
Suggests: jsonlite, knitr, rmarkdown, testthat (>= 3.0.0), withr, yaml
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-08-22 00:53:37 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph] , Daniel J. Bernstein [ctb] , Bernard van Gastel [ctb] , Wesley Janssen [ctb] , Tanja Lange [ctb] , Peter Schwabe [ctb] , Sjaak Smetsers [ctb]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-01 14:00:02 UTC

More information about getaca at CRAN
Permanent link

New package AvatarTLA with initial version 0.1.0
Package: AvatarTLA
Title: Color Palettes from 'Avatar: The Last Airbender'
Version: 0.1.0
Description: Color palettes inspired by characters and nations from the animated series 'Avatar: The Last Airbender' for use in R graphics.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: graphics, grDevices
URL: https://github.com/Gerardo-Manzanarez-Villasana/AvatarTLA
BugReports: https://github.com/Gerardo-Manzanarez-Villasana/AvatarTLA/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-08-22 01:04:22 UTC; Gerardo Manzanarez
Author: Gerardo Manzanarez-Villasana [aut, cre]
Maintainer: Gerardo Manzanarez-Villasana <jupiter.gmv@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-01 14:00:29 UTC

More information about AvatarTLA at CRAN
Permanent link

New package phynotype with initial version 0.6.2
Package: phynotype
Title: Clustering and Consensus Meta-Clustering
Version: 0.6.2
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Description: Tools for clustering, consensus meta-clustering, validation, exploratory interpretation, cluster prediction, and plotting. The package provides a clustering workflow with consensus clustering following Strehl and Ghosh (2002) <https://www.jmlr.org/papers/v3/strehl02a.html>.
URL: https://CRAN.R-project.org/package=phynotype
BugReports: https://github.com/ielbadisy/phynotype/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cluster, clustMixType, dbscan, functionals, ggplot2, ggrepel, mclust, parallel, rlang, stats, utils
Suggests: FactoMineR, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-21 14:46:53 UTC; imad-el-badisy
Repository: CRAN
Date/Publication: 2026-09-01 11:30:02 UTC

More information about phynotype at CRAN
Permanent link

New package fastgbm with initial version 0.6.1
Package: fastgbm
Title: Fast Histogram Gradient Boosting for Regression, Classification, and Survival Analysis
Version: 0.6.1
Description: A fast gradient boosting machine covering four task types with one interface: regression (squared error), binary and multiclass classification (logistic and one-vs-rest), and right-censored survival analysis via Cox (Breslow ties), accelerated failure time (normal location-scale), or piecewise-exponential objectives. Provides native missing-value routing, baseline-hazard estimation and survival-probability prediction for the survival objectives, and deterministic multi-threaded training via 'RcppParallel'. Methods are described in Friedman (2001) <doi:10.1214/aos/1013203451>.
License: MIT + file LICENSE
URL: https://github.com/ielbadisy/fastgbm
BugReports: https://github.com/ielbadisy/fastgbm/issues
Encoding: UTF-8
Depends: R (>= 4.5.0)
Imports: stats, utils, Rcpp, RcppParallel
LinkingTo: Rcpp, RcppParallel
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, survival, ggplot2, pdp, gbm, xgboost, ranger
VignetteBuilder: knitr
SystemRequirements: C++17, GNU make
NeedsCompilation: yes
Packaged: 2026-08-21 22:11:27 UTC; imad-el-badisy
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-01 11:50:12 UTC

More information about fastgbm at CRAN
Permanent link

New package datom with initial version 0.1.1
Package: datom
Title: A Unified Framework for Versioned, Traceable Tabular Data
Version: 0.1.1
Description: Provides versioned storage for tabular data without a database or a server. Each table is written as an immutable, content-addressed version -- identical content is detected and stored only once -- while its version history and metadata are kept as code in a 'git' repository and the data itself in a local filesystem or cloud object storage ('S3'). Any past version can be read back exactly by its identifier, and each table records the sources it was derived from, so a project carries full data lineage. A lightweight reader role retrieves current or historical data from storage alone, without 'git' or write access, giving downstream analyses and pipelines a single versioned source of truth. It targets analytical and scientific data management, such as preparing clinical study datasets, and is designed as a foundation for higher-level governance tooling.
License: MIT + file LICENSE
URL: https://github.com/amashadihossein/datom, https://amashadihossein.github.io/datom/
BugReports: https://github.com/amashadihossein/datom/issues
Depends: R (>= 4.1.0)
Imports: arrow, cli, digest, fs, glue, httr2, jsonlite, paws.storage, purrr, rlang, utils, yaml
Suggests: covr, git2r, knitr, mockery, rio, rmarkdown, testthat (>= 3.0.0), withr
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-21 23:39:05 UTC; afshinmashadi-hossein
Author: Afshin Mashadi-Hossein [aut, cre, cph]
Maintainer: Afshin Mashadi-Hossein <amashadihossein@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-01 11:40:15 UTC

More information about datom at CRAN
Permanent link

New package urbstatdata with initial version 0.1.0
Package: urbstatdata
Title: Seven Data Sets for Urban and Built-Environment Statistics
Version: 0.1.0
Description: Seven documented data sets from transport, traffic safety, urban planning, construction and architectural engineering. The package provides fixed, redistributable snapshots with consistent variable names. Each help page records the source, licence, unit of observation, transformations and limitations of its data set. Sources include Yeh (2018) <doi:10.24432/C5J30W>, Tsanas and Xifara (2012) <doi:10.24432/C51307>, Yeh (1998) <doi:10.24432/C5PK67>, Seoul Bike Sharing Demand (2020) <doi:10.24432/C5F62R>, and Singh and Chaudhari (2018) <doi:10.24432/C5P605>.
URL: https://github.com/mariocools/urbstatdata
BugReports: https://github.com/mariocools/urbstatdata/issues
License: MIT + file LICENSE
Copyright: See inst/COPYRIGHTS.
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-08-10 14:05:03 UTC; djdim
Author: Mario Cools [aut, cre, cph]
Maintainer: Mario Cools <mario.cools@uliege.be>
Repository: CRAN
Date/Publication: 2026-09-01 08:50:02 UTC

More information about urbstatdata at CRAN
Permanent link

New package tmdbR with initial version 0.2.2
Package: tmdbR
Title: Modern 'R' Client for 'The Movie Database' API
Version: 0.2.2
Copyright: Original 'TMDb' 1.1 components copyright Andrea Capozio. 'tmdbR' modifications copyright Gordon Kuzet.
Description: A modern, tested client for version 3 of 'The Movie Database' ('TMDB') API. It modernises the interface originally provided by the legacy 'TMDb' package by Capozio (2020) <https://CRAN.R-project.org/package=TMDb> while adding secure web requests, bearer-token authentication, structured errors, retries, safe query encoding, and automatic pagination.
License: Artistic-2.0
URL: https://developer.themoviedb.org/docs/getting-started, https://CRAN.R-project.org/package=TMDb, https://github.com/vader75/tmdbR
BugReports: https://github.com/vader75/tmdbR/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.0.0), jsonlite (>= 1.8.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-21 21:39:19 UTC; gkuzet
Author: Gordon Kuzet [aut, cre, cph], Andrea Capozio [ctb, cph]
Maintainer: Gordon Kuzet <gordon@kuzet.com>
Repository: CRAN
Date/Publication: 2026-09-01 09:00:02 UTC

More information about tmdbR at CRAN
Permanent link

New package tidygedcom with initial version 0.2.0
Package: tidygedcom
Title: Read and Tidy 'GEDCOM' Genealogy Files
Version: 0.2.0
Description: Reads and parses 'GEDCOM' (Genealogical Data Communication) files, the standard interchange format exported by genealogical software, and converts them into tidy data frames. Individuals, families, life events, and parent-child links are extracted into rectangular structures suitable for pedigree and kinship analysis. Additional helpers summarize file contents, convert place coordinates, and repair malformed records. Wikipedia family tree templates can be parsed into the same tidy structure. For a discussion of these and related data structures see [Hunter et al. (2026) <doi:10.1007/s10519-026-10259-z>].
License: GPL-3
URL: https://github.com/R-Computing-Lab/tidygedcom/, https://r-computing-lab.github.io/tidygedcom/
BugReports: https://github.com/R-Computing-Lab/tidygedcom/issues
Depends: R (>= 3.5.0)
Imports: BGmisc, dplyr, igraph, purrr, rlang, stringr, tidyr
Suggests: discord, EasyMx, ggpedigree, ggplot2, kinship2, knitr, OpenMx, rmarkdown, testthat (>= 3.0.0), tidyverse, withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-21 20:28:00 UTC; smaso
Author: S. Mason Garrison [aut, cre, cph] , Christian Waugh [aut, dtc]
Maintainer: S. Mason Garrison <garrissm@wfu.edu>
Repository: CRAN
Date/Publication: 2026-09-01 08:50:08 UTC

More information about tidygedcom at CRAN
Permanent link

New package theoryforge with initial version 0.6.0
Package: theoryforge
Title: Systematic Theory Development
Version: 0.6.0
Description: Provides a rigorous, reproducible workflow for building, developing and testing scientific theories represented as versioned, machine-checkable objects. Functions read and validate theory objects, score them against a versioned rigour checklist, screen constructs for lexical redundancy, and emit byte-identical diagram intermediate representations. The package is the feature-parity twin of a 'Python' package of the same name, with behaviour pinned by a shared specification so the two implementations produce identical verdicts.
License: MIT + file LICENSE
URL: https://github.com/pablobernabeu/theoryforge, https://pablobernabeu.github.io/theoryforge/r/
BugReports: https://github.com/pablobernabeu/theoryforge/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: jsonlite, stats, tools, utils, yaml
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, httr, curl, dagitty, ggm, DiagrammeR, DiagrammeRsvg, htmltools, spelling
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-21 13:53:12 UTC; PabloB
Author: Pablo Bernabeu [aut, cre]
Maintainer: Pablo Bernabeu <pcbernabeu@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-01 08:30:02 UTC

More information about theoryforge at CRAN
Permanent link

New package depictr with initial version 0.3.0
Package: depictr
Title: A Unified Toolkit for Visualising Statistical Models and Data
Version: 0.3.0
Description: A cohesive, publication-ready toolkit of plots that span the whole analysis workflow with one consistent look. It covers exploratory data analysis (distributions, categorical summaries, bivariate plots, scatter-plot matrices, correlation heatmaps, missing-data maps, outliers, estimation statistics and descriptive tables); multivariate analysis, clustering with diagnostics and Kaplan-Meier survival curves; time series (trends, autocorrelation, decomposition, seasonality and forecasting); model estimates and inference (forest plots, model comparison, frequentist and Bayesian estimates, predicted values, interactions, random effects and optimiser checks); diagnostics and classification (residual panels, binned residuals, influence, quantile-quantile, receiver operating characteristic (ROC) curves, calibration, threshold tuning and confusion matrices); uncertainty and power; and reporting helpers (a shared theme, colourblind-aware palettes, plot composition and saving). Every plotting func [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.5.0), stringr, scales, patchwork (>= 1.3.0), rlang, stats, grDevices, utils, Rdpack
Suggests: lme4, lmerTest, broom, simr, knitr, rmarkdown, survival, ggdist, posterior, boot, cluster, colorspace, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://pablobernabeu.github.io/depictr/, https://github.com/pablobernabeu/depictr
BugReports: https://github.com/pablobernabeu/depictr/issues
NeedsCompilation: no
Packaged: 2026-08-21 13:55:09 UTC; PabloB
Author: Pablo Bernabeu [aut, cre]
Maintainer: Pablo Bernabeu <pcbernabeu@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-01 08:30:09 UTC

More information about depictr at CRAN
Permanent link

New package deOpenData with initial version 0.1.0
Package: deOpenData
Title: A Lightweight Interface to Delaware Open Data APIs
Version: 0.1.0
Description: Provides a unified set of helper functions to access datasets from the Delaware Open Data platform <https://data.delaware.gov/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API. The package provides a consistent interface for discovering and downloading datasets from the Delaware Open Data Portal using human-readable dataset keys or official Socrata dataset identifiers.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: curl, dplyr, httr, janitor, jsonlite, rlang, tibble
Suggests: ggplot2, knitr, rmarkdown, scales, testthat (>= 3.0.0), tidyr, vcr (>= 0.6.0), webmockr
URL: https://github.com/gomes-sh/nolaOpenData
BugReports: https://github.com/gomes-sh/nolaOpenData/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-08-21 17:44:21 UTC; magic
Author: Shelby Lyn Gomes [aut] , Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-01 08:40:02 UTC

More information about deOpenData at CRAN
Permanent link

New package dawnn with initial version 2.1.1
Package: dawnn
Title: Differential Abundance with Neural Networks
Version: 2.1.1
Description: Detects regions of differential abundance in single-cell transcriptomic data by applying a pre-trained neural network model to the labels of each cell's nearest neighbours. Tests for both local and global differential abundance, controlling the false discovery rate with the Benjamini-Yekutieli procedure. The method is described in Hall and Castellano (2023) <doi:10.1101/2023.05.05.539427>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats, Seurat, reticulate, keras, utils, withr, tools
Depends: R (>= 4.0.0)
Suggests: rmarkdown, knitr, testthat (>= 3.1.7), callr, dplyr, pkgload, viridis
VignetteBuilder: knitr
URL: https://george-hall-ucl.github.io/dawnn/, https://github.com/george-hall-ucl/dawnn
BugReports: https://github.com/george-hall-ucl/dawnn/issues
SystemRequirements: Python (>= 3.9) with TensorFlow (>= 2.0), typically installed in a conda environment and selected via the 'tf_conda_env' argument of run_dawnn(). See the package documentation for setup instructions.
NeedsCompilation: no
Packaged: 2026-08-21 19:03:16 UTC; georgehall2
Author: George Hall [aut, cre] , Sergi Castellano [aut] , University College London [cph]
Maintainer: George Hall <george.hall@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2026-09-01 08:40:09 UTC

More information about dawnn at CRAN
Permanent link

New package BsplineQuantRegGui with initial version 0.2.2
Package: BsplineQuantRegGui
Title: Interactive 'Shiny' Interface for 'BsplineQuantReg'
Version: 0.2.2
Language: en-GB
Date: 2026-07-28
Description: A user-friendly interactive Shiny interface for the 'BsplineQuantReg' package, enabling quantile regression using B-splines with shape constraints, based on the method described in Abbes (2025). Almost all parameters of the main function 'quantile_spline()' can be tuned. Features include interactive knot placement, per-region constraint specification, 'CSV' data import, direct demo access, reproducible R code generation, and solver selection. The version 0.2.2 handles knots multiplicity, Bspline basis visualisation, mean-square regression, pp form visualisation under human readable form, in local or canonical bases, The GUI provides two modes, basic (compatible with 'BsplineQuantReg' >= 0.2.2) and advanced (requires 'BsplineQuantReg' >= 0.2.5 for stable multiplicity features). This GUI an improved version of the 'Python Tk' version of 'BsplineQuantRegPy'.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.6.0)
Imports: BsplineQuantReg (>= 0.2.5), shiny, shinyjs, DT, plotly, png, shinythemes, colourpicker, png, ECOSolveR
Suggests: cobs, testthat
NeedsCompilation: no
Packaged: 2026-08-21 20:18:23 UTC; abbes
Author: Alexandre Abbes [aut, cre]
Maintainer: Alexandre Abbes <alexandre.abbes@proton.me>
Repository: CRAN
Date/Publication: 2026-09-01 08:50:15 UTC

More information about BsplineQuantRegGui at CRAN
Permanent link

New package actiquantiles with initial version 0.1.0
Package: actiquantiles
Title: Map Activity Data to Normalized Quantiles
Version: 0.1.0
Description: Provides functions mapping physical activity measures to normalized quantiles. Currently, only maps the 'NHANES' quantiles, but other quantiles will be integrated.
License: GPL-3
Depends: R (>= 3.5)
Suggests: testthat, covr, knitr, rmarkdown, dplyr
Encoding: UTF-8
Imports: mapnhanespa
URL: https://github.com/jhuwit/actiquantiles, https://jhuwit.github.io/actiquantiles/
BugReports: https://github.com/jhuwit/actiquantiles/issues
NeedsCompilation: no
Packaged: 2026-08-21 18:25:40 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-01 08:40:15 UTC

More information about actiquantiles at CRAN
Permanent link

Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.