Sat, 12 Sep 2026

Package ProbSVMs updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-25

Title: Probabilistic Support Vector Machines
Description: Implements kernel-based classification Support Vector Machines with reliable estimated probabilities of class membership. Theoretical support for the functions in this package can be found in Duarte Silva (2025) <doi:10.1016/j.cor.2025.107203>.
Author: A. Pedro Duarte Silva [aut, cre]
Maintainer: A. Pedro Duarte Silva <psilva@ucp.pt>

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More information about ProbSVMs at CRAN
Permanent link

Package mnirs updated to version 0.8.0 with previous version 0.7.0 dated 2026-08-01

Title: Muscle Near-Infrared Spectroscopy Processing and Analysis
Description: Read, process, and analyse data from muscle near-infrared spectroscopy (mNIRS) devices. Import raw data from file and return time-series data and metadata. Standardised methods for cleaning, filtering, transforming, and analysing mNIRS data. Custom plot theme and colour palette. Intended for mNIRS researchers and practitioners in exercise physiology, sports science, and clinical practice.
Author: Jem Arnold [aut, cre, cph]
Maintainer: Jem Arnold <jem.arnold@gmail.com>

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Package grasps updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-02

Title: Groupwise Regularized Adaptive Sparse Precision Solution
Description: Provides a unified framework for sparse-group regularization and precision matrix estimation in Gaussian graphical models. It implements multiple sparse-group penalties, including sparse-group lasso, sparse-group adaptive lasso, sparse-group SCAD, and sparse-group MCP, and solves them efficiently using ADMM-based optimization. The package is designed for high-dimensional network inference where both sparsity and group structure are present.
Author: Shiying Xiao [aut, cre] , Jun Yan [aut] , Panpan Zhang [aut]
Maintainer: Shiying Xiao <shiying.xiao@outlook.com>

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Package Brobdingnag updated to version 1.3-1 with previous version 1.2-9 dated 2022-10-19

Title: Very Large Numbers in R
Description: Very large numbers in R. Real numbers are held using their natural logarithms, plus a logical flag indicating sign. Functionality for complex numbers is also provided. The package includes a vignette that gives a step-by-step introduction to using S4 methods.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package lpl updated to version 0.15 with previous version 0.13 dated 2025-08-20

Title: Local Partial Likelihood Estimation and Simultaneous Confidence Band
Description: Local partial likelihood estimation by Fan, Lin and Zhou(2006)<doi:10.1214/009053605000000796> and simultaneous confidence band is a set of tools to test the covariates-biomarker interaction for survival data. Test for the covariates-biomarker interaction using the bootstrap method and the asymptotic method with simultaneous confidence band (Liu, Jiang and Chen (2015)<doi:10.1002/sim.6563>).
Author: Bingshu E. Chen [aut, cre], Yicong Liu [aut], Siwei Zhang [aut], Teng Wen [aut], Wenyu Jiang [aut]
Maintainer: Bingshu E. Chen <bingshu.chen@queensu.ca>

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Package sanitizers updated to version 0.1.2 with previous version 0.1.1 dated 2023-06-11

Title: C/C++ Source Code to Trigger Address and Undefined Behaviour Sanitizers
Description: Recent gcc and clang compiler versions provide functionality to test for memory violations and other undefined behaviour; this is often referred to as "Address Sanitizer" (or 'ASAN') and "Undefined Behaviour Sanitizer" ('UBSAN'). The Writing R Extension manual describes this in some detail in Section 4.3 title "Checking Memory Access". This feature has to be enabled in the corresponding binary, eg in R, which is somewhat involved as it also required a current compiler toolchain which is not yet widely available, or in the case of Windows, not available at all (via the common Rtools mechanism). As an alternative, pre-built Docker containers such as the Rocker container 'r-devel-san' or the multi-purpose container 'r-debug' can be used. This package then provides a means of testing the compiler setup as the known code failures provides in the sample code here should be detected correctly, whereas a default build of R will let the package pass. The code samples are based on the exampl [...truncated...]
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between sanitizers versions 0.1.1 dated 2023-06-11 and 0.1.2 dated 2026-09-12

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Package vismeteor updated to version 3.1.0 with previous version 3.0.1 dated 2026-05-19

Title: Analysis of Visual Meteor Data
Description: Provides a suite of analytical functionalities to process and analyze visual meteor observations from the Visual Meteor Database of the International Meteor Organization <https://www.imo.net/>.
Author: Janko Richter [aut, cre]
Maintainer: Janko Richter <janko@richtej.de>

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Package ForceChoice updated to version 1.0.1 with previous version 1.0.0 dated 2026-07-30

Title: Forced-Choice Modeling Based on Item Response Theory and Cognitive Diagnostic Models
Description: Fits, simulates, and evaluates forced-choice and traditional item response theory (IRT) models for noncognitive assessment. Eight model families are supported, spanning dominance (multidimensional IRT (MIRT) 1PL--4PL; multidimensional generalized partial credit model (MGPCM)), ideal-point unfolding (multidimensional generalized graded unfolding model (MGGUM)), and forced-choice designs (forced-choice multidimensional IRT (FCMIRT), forced-choice generalized graded unfolding model (FCGGUM), Thurstonian IRT (TIRT), forced-choice diagnostic classification model (FCDCM), forced-choice generalized deterministic inputs, noisy "and" gate model (FCGDINA)) that mitigate response biases such as acquiescence and social desirability. Core estimation backends include full Bayesian inference via Hamiltonian Monte Carlo (Stan) and a fast improved stochastic expectation-maximization (iStEM) algorithm suitable for large-scale data; FCGDINA also provides a deterministic expectation-maximization (EM) esti [...truncated...]
Author: Haijiang Qin [aut, cre, cph] , Lei Guo [aut, cph]
Maintainer: Haijiang Qin <haijiang133@outlook.com>

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Package easyRasch2 updated to version 1.3.0 with previous version 1.2.0 dated 2026-08-23

Title: Psychometric Analysis with Rasch Measurement Theory
Description: Streamlines reproducible Rasch measurement theory analyses for ordinal item-response data, combining estimation routines from 'eRm', 'psychotools', 'mirt', 'iarm', and 'lavaan' with consistent diagnostic, plotting, and reporting layers. Covers the four basic psychometric criteria summarised by Christensen et al. (2021) <doi:10.1111/sms.13908> -- unidimensionality, local independence, ordered response category thresholds, and invariance across subgroups -- together with item fit, targeting, reliability, category functioning, and descriptive item-response plots. A distinguishing feature is the use of simulation-based critical values to replace rule-of-thumb cutoffs for conditional infit mean-square, Yen's Q3 local-dependence statistic, the largest residual-PCA eigenvalue, ordinal CFA fit indices, and partial-gamma DIF and local-dependence coefficients, optionally augmented with multiplicity-corrected bootstrap p-values. Outputs are knitr::kable() tables and 'ggplot2' figures suitab [...truncated...]
Author: Magnus Johansson [aut, cre] , Nicklas Korsell [ctb] , Mirka Henninger [ctb] , Jan Radek [ctb]
Maintainer: Magnus Johansson <pgmj@pm.me>

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Package SemNeT updated to version 2.0.0 with previous version 1.4.5 dated 2025-11-03

Title: Methods and Measures for Semantic Network Analysis
Description: Implements several functions for the analysis of semantic networks including different network estimation algorithms, partial node bootstrapping (Kenett, Anaki, & Faust, 2014 <doi:10.3389/fnhum.2014.00407>), random walk simulation (Kenett & Austerweil, 2016), and a function to compute global network measures. Significance tests and plotting features are also implemented.
Author: Alexander P. Christensen [aut, cre] , Yoed N. Kenett [aut, ctb]
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>

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More information about SemNeT at CRAN
Permanent link

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
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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

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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
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Package SIPDIBGE updated to version 0.2.2 with previous version 0.2.1 dated 2024-02-01

Title: Collection of Household Survey Packages Conducted by IBGE
Description: Provides access to packages developed for downloading, reading and analyzing microdata from household surveys in Integrated System of Household Surveys - SIPD conducted by Brazilian Institute of Geography and Statistics - IBGE. More information can be obtained from the official website <https://www.ibge.gov.br/>.
Author: Gabriel Assuncao [aut, cre], Luna Hidalgo [aut], Douglas Braga [ctb], Viviane Quintaes [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>

Diff between SIPDIBGE versions 0.2.1 dated 2024-02-01 and 0.2.2 dated 2026-09-12

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More information about SIPDIBGE at CRAN
Permanent link

Package SII readmission to version 1.2.4 with previous version 1.0.3.1 dated 2018-11-18

Title: Calculate ANSI/ASA S3.5-1997 (R2024) Speech Intelligibility Index
Description: Calculates the American National Standards Institute (ANSI) S3.5-1997 Speech Intelligibility Index (SII) (ANSI 1997, (ANSI, 1997)), a standard method for computing the intelligibility of speech from acoustical measurements of speech, noise, and hearing thresholds. This package includes data frames corresponding to Tables 1 - 4 in the ANSI standard as well as functions utilizing these tables and user-provided hearing threshold and noise level measurements to compute the SII score. The methods implemented here extend the standard computations to allow calculation of SII when the measured frequencies do not match those required by the standard by applying interpolation. Furthermore, the package now includes a native, highly optimized C++ implementation of the canonical Moore & Glasberg (2004) specific loudness model for impaired hearing, which structurally mirrors the bramslow2004 implementation from the Auditory Modeling Toolbox (AMT) to calculate loudness in perceptual sones. It als [...truncated...]
Author: Gregory R. Warnes [aut, cph], Mark Shaver [cre, aut]
Maintainer: Mark Shaver <mark.shaver@posteo.net>

This is a re-admission after prior archival of version 1.0.3.1 dated 2018-11-18

Diff between SII versions 1.0.3.1 dated 2018-11-18 and 1.2.4 dated 2026-09-12

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More information about SII at CRAN
Permanent link

Package reporter updated to version 1.4.9 with previous version 1.4.8 dated 2026-07-21

Title: Creates Statistical Reports
Description: Contains functions to create regulatory-style statistical reports. Originally designed to create tables, listings, and figures for the pharmaceutical, biotechnology, and medical device industries, these reports are generalized enough that they could be used in any industry. Generates text, rich-text, PDF, HTML, and Microsoft Word file formats. The package specializes in printing wide and long tables with automatic page wrapping and splitting. Reports can be produced with a minimum of function calls, and without relying on other table packages. The package supports titles, footnotes, page header, page footers, spanning headers, page by variables, and automatic page numbering.
Author: David Bosak [aut, cre], Bill Huang [aut], Kevin Kramer [ctb], Duong Tran [ctb], Raphael Huang [ctb], Archytas Clinical Solutions [cph]
Maintainer: David Bosak <dbosak01@gmail.com>

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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

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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
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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

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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
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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
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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
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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
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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

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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
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Package gcmrec readmission to version 2.0.0 with previous version 1.0-3 dated 2009-02-06

Title: General Class of Models for Recurrent Event Data
Description: Parameter estimation for the general class of semiparametric models for recurrent event data proposed by Peña and Hollander (2004, <ISBN:978-1-4020-7737-6>). The model incorporates an effective age function encoding the impact of interventions after each event occurrence, the effect of accumulating event occurrences, a link function for possibly time-dependent covariates, and optional gamma frailties to induce dependence among inter-event times. It also fits the extension for cancer relapses of González et al. (2005) <doi:10.1002/sim.2410>. Estimation is performed by profile likelihood, with an expectation-maximization algorithm for the frailty model, and the package provides descriptive, diagnostic and predictive tools for the fitted models.
Author: Dolors Pelegri-Siso [aut, cre] , Juan R. Gonzalez [aut], Elizabeth H. Slate [aut], Edsel A. Pena [aut]
Maintainer: Dolors Pelegri-Siso <dolors.pelegri@isglobal.org>

This is a re-admission after prior archival of version 1.0-3 dated 2009-02-06

Diff between gcmrec versions 1.0-3 dated 2009-02-06 and 2.0.0 dated 2026-09-12

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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
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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
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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
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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

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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

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Package actigraph.sleepr updated to version 0.4.0 with previous version 0.3.1 dated 2026-06-02

Title: Detect Periods of Sleep and Non-Wear in 'ActiGraph' Data
Description: Reads *.agd files exported from 'ActiGraph' devices; implements the Troiano (2008) <doi:10.1249/mss.0b013e31815a51b3> and Choi (2011) <doi:10.1249/MSS.0b013e3181ed61a3> algorithms for detecting periods on non-wear; implements the Sadeh (1994) <doi:10.1093/sleep/17.3.201>, Cole-Kripke (1992) <doi:10.1093/sleep/15.5.461>, and Oakley (1997) algorithms for detecting asleep/awake state and the Tudor-Locke (2014) <doi:10.1139/apnm-2013-0173> algorithm to detect sleep periods from asleep/awake states.
Author: Desislava Petkova [aut, cre], John Muschelli [ctb]
Maintainer: Desislava Petkova <desislavka@gmail.com>

Diff between actigraph.sleepr versions 0.3.1 dated 2026-06-02 and 0.4.0 dated 2026-09-12

 DESCRIPTION                        |   19 ++++-----
 MD5                                |   39 ++++++++++---------
 NAMESPACE                          |   58 ++++++++++++++++++----------
 NEWS.md                            |    5 ++
 R/actigraph.sleepr-package.R       |    1 
 R/apply_cole_kripke.R              |   69 +++++++++++++++++++++++++++++++---
 R/apply_oakley.R                   |only
 R/read_agd.R                       |    6 +-
 R/tbl_agd.R                        |    2 
 README.md                          |   61 ++++++++++++------------------
 build/partial.rdb                  |only
 build/vignette.rds                 |binary
 inst/doc/detect-sleep.Rmd          |   26 ++++++++----
 inst/doc/detect-sleep.html         |   69 +++++++++++++++++++++-------------
 man/apply_cole_kripke.Rd           |   20 ++++++++-
 man/apply_oakley.Rd                |only
 man/read_agd.Rd                    |    6 +-
 man/tbl_agd.Rd                     |    2 
 tests/testthat/test_input_agdb.R   |   13 ++++++
 tests/testthat/test_nonwear_func.R |   43 +++++++++++++++++++++
 tests/testthat/test_sleep_func.R   |   75 +++++++++++++++++++++++++++++++++++++
 vignettes/detect-sleep.Rmd         |   26 ++++++++----
 22 files changed, 396 insertions(+), 144 deletions(-)

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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

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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

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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

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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

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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

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Package metajam readmission to version 0.3.2 with previous version 0.3.1 dated 2024-08-16

Title: Easily Download Data and Metadata from 'DataONE'
Description: A set of tools to foster the development of reproducible analytical workflow by simplifying the download of data and metadata from 'DataONE' (<https://www.dataone.org>) and easily importing this information into R.
Author: Julien Brun [cre, aut] , Irene Steves [aut] , Mitchell Maier [aut] , Kristen Peach [aut] , Nicholas Lyon [aut] , Nathan Hwangbo [ctb] , Derek Strong [ctb] , Colin Smith [ctb] , Regents of the University of California [cph]
Maintainer: Julien Brun <julien.brun@alumni.duke.edu>

This is a re-admission after prior archival of version 0.3.1 dated 2024-08-16

Diff between metajam versions 0.3.1 dated 2024-08-16 and 0.3.2 dated 2026-09-12

 DESCRIPTION                                  |   30 +-
 MD5                                          |   68 ++---
 NEWS.md                                      |    7 
 R/check_version.R                            |    4 
 R/download_ISO_data.R                        |    2 
 R/download_d1_data.R                         |   56 ++--
 R/download_d1_data_pkg.R                     |    6 
 R/get_pkg_pids.R                             |    2 
 R/tabularize_eml.R                           |    8 
 R/utils.R                                    |    2 
 README.md                                    |    1 
 build/vignette.rds                           |binary
 inst/doc/use01_dataset-single-arctic.R       |   22 -
 inst/doc/use01_dataset-single-arctic.Rmd     |    4 
 inst/doc/use01_dataset-single-arctic.html    |   13 -
 inst/doc/use02_dataset-single-dataone.R      |   59 +----
 inst/doc/use02_dataset-single-dataone.Rmd    |   73 +-----
 inst/doc/use02_dataset-single-dataone.html   |  110 +++------
 inst/doc/use03_dataset-batch-processing.R    |  318 +++++++++++++--------------
 inst/doc/use03_dataset-batch-processing.Rmd  |    2 
 inst/doc/use03_dataset-batch-processing.html |   11 
 inst/doc/use04_reading-raster.R              |   48 ++--
 inst/doc/use04_reading-raster.Rmd            |    2 
 inst/doc/use04_reading-raster.html           |   11 
 inst/doc/use05_package-download.R            |   28 +-
 inst/doc/use05_package-download.html         |    9 
 man/check_version.Rd                         |    4 
 man/download_d1_data.Rd                      |    6 
 man/download_d1_data_pkg.Rd                  |    6 
 man/tabularize_eml.Rd                        |    8 
 tests/testthat/test-download_d1_data.R       |    9 
 vignettes/use01_dataset-single-arctic.Rmd    |    4 
 vignettes/use02_dataset-single-dataone.Rmd   |   73 +-----
 vignettes/use03_dataset-batch-processing.Rmd |    2 
 vignettes/use04_reading-raster.Rmd           |    2 
 35 files changed, 461 insertions(+), 549 deletions(-)

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Package days2lessons updated to version 1.0.0 with previous version 0.1.3 dated 2025-05-20

Title: Distributes Teachers Lessons On Days in a Balanced Manner
Description: The set of teacher/class lessons is completed with a column that allocates a day to each lesson, so that the distribution of lessons by day, by class, and by teacher is as uniform as possible. <https://vlad.bazon.net/>.
Author: Vlad Bazon [aut, cre]
Maintainer: Vlad Bazon <vlad.bazon@gmail.com>

Diff between days2lessons versions 0.1.3 dated 2025-05-20 and 1.0.0 dated 2026-09-12

 DESCRIPTION                 |    8 ++--
 MD5                         |   33 ++++++++++---------
 NAMESPACE                   |   29 +++++++++-------
 NEWS.md                     |    6 +++
 R/daily_cls2prof.R          |only
 R/data.R                    |    2 -
 R/days2tupl.R               |   11 ++++--
 R/globals.R                 |only
 R/less2days.R               |    2 -
 R/mount_days.R              |    6 ++-
 inst/doc/balanced_sch.R     |   18 +++++-----
 inst/doc/balanced_sch.Rmd   |    9 +++--
 inst/doc/balanced_sch.html  |   76 ++++++++++++++++++++++++--------------------
 man/LSS.Rd                  |    2 -
 man/daily_cls2prof.Rd       |only
 man/days2lessons-package.Rd |    5 ++
 man/days2tupl.Rd            |    5 +-
 man/mount_days.Rd           |    3 +
 vignettes/balanced_sch.Rmd  |    9 +++--
 19 files changed, 131 insertions(+), 93 deletions(-)

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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

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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

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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

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Package GGIR updated to version 3.3-9 with previous version 3.3-8 dated 2026-07-24

Title: Raw Accelerometer Data Analysis
Description: A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' <https://activinsights.com/>, binary (.gt3x) and .csv-export data from 'Actigraph' <https://ametris.com/> devices, and binary (.cwa) and .csv-export data from 'Axivity' <https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format. Also the package allows for external function embedding.
Author: Vincent T van Hees [aut, cre], Jairo H Migueles [aut] , Samuel T Afolabi [ctb] , Severine Sabia [ctb], Matthew R Patterson [ctb], Zhou Fang [ctb], Joe Heywood [ctb], Joan Capdevila Pujol [ctb], Lena Kushleyeva [ctb], Mathilde Chen [ctb], Manasa Yerra [...truncated...]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

Diff between GGIR versions 3.3-8 dated 2026-07-24 and 3.3-9 dated 2026-09-12

 DESCRIPTION                              |    8 -
 MD5                                      |   67 +++++++-------
 NEWS.md                                  |   10 ++
 R/HASPT.R                                |   13 ++
 R/check_params.R                         |    4 
 R/g.getmeta.R                            |    9 +
 R/g.part5.R                              |   17 ++-
 R/g.part5.definedays.R                   |  143 +++++++++++++++++--------------
 R/g.part5.lux_persegment.R               |   19 ++--
 R/g.part5.onsetwaketiming.R              |    1 
 R/g.part5.savetimeseries.R               |    4 
 R/g.part5_analyseSegment.R               |   70 ++++++++++-----
 R/g.report.part5.R                       |   67 +++++++++-----
 R/load_params.R                          |    4 
 R/visualReport.R                         |    2 
 R/zzz.R                                  |    9 +
 build/vignette.rds                       |binary
 inst/doc/CutPoints.html                  |    2 
 inst/doc/ExternalFunction.html           |    2 
 inst/doc/GGIR.html                       |    2 
 inst/doc/GGIRParameters.Rmd              |    2 
 inst/doc/GGIRParameters.html             |   27 +++++
 inst/doc/GGIRoutput.html                 |    2 
 inst/doc/TutorialDaySegmentAnalyses.Rmd  |    8 +
 inst/doc/TutorialDaySegmentAnalyses.html |   32 +++++-
 inst/doc/readmyacccsv.html               |    2 
 man/GGIR-package.Rd                      |    4 
 man/GGIR.Rd                              |   16 +++
 tests/testthat/test_HASPT.R              |   27 +++++
 tests/testthat/test_greadaccfile.R       |   26 +----
 tests/testthat/test_load_check_params.R  |    2 
 tests/testthat/test_part5_qwindow.R      |   56 +++++++++---
 tests/testthat/test_zzz.R                |only
 vignettes/GGIRParameters.Rmd             |    2 
 vignettes/TutorialDaySegmentAnalyses.Rmd |    8 +
 35 files changed, 444 insertions(+), 223 deletions(-)

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Package tesseract updated to version 5.3.1 with previous version 5.3.0 dated 2026-09-04

Title: Open Source OCR Engine
Description: Bindings to 'Tesseract': a powerful optical character recognition (OCR) engine that supports over 100 languages. The engine is highly configurable in order to tune the detection algorithms and obtain the best possible results.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between tesseract versions 5.3.0 dated 2026-09-04 and 5.3.1 dated 2026-09-12

 tesseract-5.3.0/tesseract/inst/tessdata       |only
 tesseract-5.3.1/tesseract/DESCRIPTION         |    6 +--
 tesseract-5.3.1/tesseract/MD5                 |   46 ++------------------------
 tesseract-5.3.1/tesseract/NEWS                |    3 +
 tesseract-5.3.1/tesseract/cleanup             |    1 
 tesseract-5.3.1/tesseract/inst/doc/intro.html |    4 +-
 tesseract-5.3.1/tesseract/src/tesseract.cpp   |    8 ++--
 7 files changed, 17 insertions(+), 51 deletions(-)

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Package zenstats (with last version 0.1.2) was removed from CRAN

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

2024-05-31 0.1.2

Permanent link
Package polite (with last version 0.1.4) was removed from CRAN

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

2026-08-22 0.1.4
2026-05-11 0.1.4
2023-06-30 0.1.3
2022-08-09 0.1.2
2019-11-30 0.1.1

Permanent link
Package extrasteps (with last version 0.3.0) was removed from CRAN

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

2025-09-05 0.3.0
2024-10-03 0.1.0

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Package dsdp (with last version 0.1.2) was removed from CRAN

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

2026-08-21 0.1.2
2026-04-15 0.1.1-1
2023-02-11 0.1.1
2022-12-05 0.1.0

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Package ddst updated to version 1.6.11 with previous version 1.4 dated 2016-05-26

Title: Data Driven Smooth Tests
Description: Smooth tests are data driven (alternative hypothesis is dynamically selected based on data). In this package you will find two groups of smooth of test: goodness-of-fit tests and nonparametric tests for comparing distributions. Among goodness-of-fit tests there are tests for exponent, Gaussian, Gumbel and uniform distribution. Among nonparametric tests there are tests for stochastic dominance, k-sample test, test with umbrella alternatives and test for change-point problems.
Author: Przemyslaw Biecek [aut, cre] , Teresa Ledwina [aut], Grzegorz Wylupek [aut]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between ddst versions 1.4 dated 2016-05-26 and 1.6.11 dated 2026-09-12

 ddst-1.4/ddst/R/ddst.IIC.R                         |only
 ddst-1.4/ddst/R/ddst.base.cos.R                    |only
 ddst-1.4/ddst/R/ddst.base.legendre.R               |only
 ddst-1.4/ddst/R/ddst.exp.Nk.R                      |only
 ddst-1.4/ddst/R/ddst.extr.Nk.R                     |only
 ddst-1.4/ddst/R/ddst.extr.test.R                   |only
 ddst-1.4/ddst/R/ddst.norm.Nk.R                     |only
 ddst-1.4/ddst/R/ddst.norm.test.R                   |only
 ddst-1.4/ddst/R/ddst.phi.R                         |only
 ddst-1.4/ddst/R/ddst.uniform.Nk.R                  |only
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 ddst-1.4/ddst/man/ddst.extr.test.Rd                |only
 ddst-1.4/ddst/man/ddst.norm.test.Rd                |only
 ddst-1.6.11/ddst/DESCRIPTION                       |   45 
 ddst-1.6.11/ddst/MD5                               |   56 
 ddst-1.6.11/ddst/NAMESPACE                         |   46 
 ddst-1.6.11/ddst/NEWS.md                           |only
 ddst-1.6.11/ddst/R/ddst.againststochdom.test.R     |only
 ddst-1.6.11/ddst/R/ddst.evd.test.R                 |only
 ddst-1.6.11/ddst/R/ddst.exp.test.R                 | 3586 ++++++++++++++++-----
 ddst-1.6.11/ddst/R/ddst.forstochdom.test.R         |only
 ddst-1.6.11/ddst/R/ddst.ksample.test.R             |only
 ddst-1.6.11/ddst/R/ddst.misc.R                     |only
 ddst-1.6.11/ddst/R/ddst.normbounded.test.R         |only
 ddst-1.6.11/ddst/R/ddst.normunbounded.test.R       |only
 ddst-1.6.11/ddst/R/ddst.plot.R                     |only
 ddst-1.6.11/ddst/R/ddst.twosample.test.R           |only
 ddst-1.6.11/ddst/R/ddst.umbrellaknownp.test.R      |only
 ddst-1.6.11/ddst/R/ddst.umbrellaunknownp.test.R    |only
 ddst-1.6.11/ddst/R/ddst.uniform.test.R             |  149 
 ddst-1.6.11/ddst/R/ddst.upwardtrend.test.R         |only
 ddst-1.6.11/ddst/R/zzz.R                           | 3568 ++++++++++----------
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 ddst-1.6.11/ddst/man/ddst.againststochdom.test.Rd  |only
 ddst-1.6.11/ddst/man/ddst.evd.test.Rd              |only
 ddst-1.6.11/ddst/man/ddst.exp.test.Rd              |   96 
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 ddst-1.6.11/ddst/man/ddst.umbrellaknownp.test.Rd   |only
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 ddst-1.6.11/ddst/man/ddst.uniform.test.Rd          |  103 
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 ddst-1.6.11/ddst/man/plot.ddst.test.Rd             |only
 ddst-1.6.11/ddst/vignettes                         |only
 48 files changed, 4851 insertions(+), 2798 deletions(-)

More information about ddst at CRAN
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