Sat, 20 Jun 2026

Package repo.data readmission to version 0.2.2 with previous version 0.1.5 dated 2025-09-25

Title: R Repositories Data
Description: Retrieve metadata about packages from repositories to explore package dependencies, links between help pages, aliases, package availability on a given date, and other repository-dependent outcome. In addition, it provides access to information about the processes at CRAN. This metadata can be used to help package maintainers and users navigate changes to dependencies and with reproducibility.
Author: Lluis Revilla Sancho [aut, cre, cph]
Maintainer: Lluis Revilla Sancho <lluis.revilla@gmail.com>

This is a re-admission after prior archival of version 0.1.5 dated 2025-09-25

Diff between repo.data versions 0.1.5 dated 2025-09-25 and 0.2.2 dated 2026-06-20

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 repo.data-0.2.2/repo.data/NAMESPACE                              |    9 
 repo.data-0.2.2/repo.data/NEWS.md                                |    6 
 repo.data-0.2.2/repo.data/R/aaa.R                                |    9 
 repo.data-0.2.2/repo.data/R/alias_utils.R                        |   45 -
 repo.data-0.2.2/repo.data/R/arch_utils.R                         |   14 
 repo.data-0.2.2/repo.data/R/base_alias.R                         |    4 
 repo.data-0.2.2/repo.data/R/base_help.R                          |   51 +-
 repo.data-0.2.2/repo.data/R/base_xrefs.R                         |   63 +-
 repo.data-0.2.2/repo.data/R/bioconductor.R                       |   19 
 repo.data-0.2.2/repo.data/R/cran_actions.R                       |   74 ++
 repo.data-0.2.2/repo.data/R/cran_alias.R                         |   25 
 repo.data-0.2.2/repo.data/R/cran_archive.R                       |   73 +-
 repo.data-0.2.2/repo.data/R/cran_comments.R                      |   22 
 repo.data-0.2.2/repo.data/R/cran_doom.R                          |    3 
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 repo.data-0.2.2/repo.data/R/utils.R                              |  196 +++----
 repo.data-0.2.2/repo.data/R/versions.R                           |    2 
 repo.data-0.2.2/repo.data/R/xrefs_utils.R                        |  254 +++++-----
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 repo.data-0.2.2/repo.data/build/vignette.rds                     |binary
 repo.data-0.2.2/repo.data/data/os_alias.rda                      |binary
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 repo.data-0.2.2/repo.data/inst/doc/repo.data.R                   |   12 
 repo.data-0.2.2/repo.data/inst/doc/repo.data.Rmd                 |   22 
 repo.data-0.2.2/repo.data/inst/doc/repo.data.html                |  141 ++---
 repo.data-0.2.2/repo.data/inst/scripts/cran_actions.R            |   15 
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 105 files changed, 1211 insertions(+), 1013 deletions(-)

More information about repo.data at CRAN
Permanent link

Package IssueTrackeR updated to version 1.4.0 with previous version 1.3.1 dated 2025-10-27

Title: List Things to Do
Description: Manage a 'GitHub' problem using R: wrangle issues, labels and milestones. It includes functions for storing, prioritizing (sorting), displaying, adding, deleting, and selecting (filtering) issues based on qualitative and quantitative information. Issues (labels and milestones) are written in lists and categorized into the S3 class to be easily manipulated as datasets in R.
Author: Tanguy Barthelemy [aut, cre, art]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

Diff between IssueTrackeR versions 1.3.1 dated 2025-10-27 and 1.4.0 dated 2026-06-20

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 IssueTrackeR-1.4.0/IssueTrackeR/NAMESPACE                              |  162 
 IssueTrackeR-1.4.0/IssueTrackeR/NEWS.md                                |  239 
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 IssueTrackeR-1.4.0/IssueTrackeR/R/check.R                              |   32 
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More information about IssueTrackeR at CRAN
Permanent link

Package BayesFBHborrow updated to version 2.0.9 with previous version 2.0.2 dated 2024-09-16

Title: Bayesian Dynamic Borrowing with Flexible Baseline Hazard Function
Description: Allows Bayesian borrowing from a historical dataset for time-to- event data. A flexible baseline hazard function is achieved via a piecewise exponential likelihood with time varying split points and smoothing prior on the historic baseline hazards. The method is described in Scott and Lewin (2026) <doi:10.1093/biostatistics/kxag006>, and a paper focused on the software is in Scott, Axillus, Lewin and Izmirlian (2026) <doi:10.48550/arXiv.2408.04327>.
Author: Darren Scott [aut], Sophia Axillus [aut], Grant Izmirlian [aut, cre]
Maintainer: Grant Izmirlian <grant.izmirlian@astrazeneca.com>

Diff between BayesFBHborrow versions 2.0.2 dated 2024-09-16 and 2.0.9 dated 2026-06-20

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Package TraMineRextras updated to version 0.6.9 with previous version 0.6.8 dated 2024-08-17

Title: TraMineR Extension
Description: Collection of ancillary functions and utilities to be used in conjunction with the 'TraMineR' package for sequence data exploration. Includes, among others, specific functions such as state survival plots, position-wise group-typical states, dynamic sequence indicators, and dissimilarities between event sequences. Also includes contributions by non-members of the TraMineR team such as methods for polyadic data and for the comparison of groups of sequences.
Author: Gilbert Ritschard [aut, cre, ths, cph] , Matthias Studer [aut] , Reto Buergin [aut] , Tim F. Liao [ctb] , Alexis Gabadinho [ctb], Pierre-Alexandre Fonta [ctb], Nicolas S. Muller [ctb], Patrick Rousset [ctb]
Maintainer: Gilbert Ritschard <gilbert.ritschard@unige.ch>

Diff between TraMineRextras versions 0.6.8 dated 2024-08-17 and 0.6.9 dated 2026-06-20

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Package spant updated to version 4.2.0 with previous version 4.1.0 dated 2026-05-21

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385>, Wilson (2025) <DOI:10.1002/mrm.30462> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] , Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin.wilson111@gmail.com>

Diff between spant versions 4.1.0 dated 2026-05-21 and 4.2.0 dated 2026-06-20

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Package ragtop updated to version 1.3.1 with previous version 1.2.1 dated 2026-06-15

Title: Pricing Equity Derivatives with Extensions of Black-Scholes
Description: Algorithms to price American and European equity options, convertible bonds and a variety of other financial derivatives. It uses an extension of the usual Black-Scholes model in which jump to default may occur at a probability specified by a power-law link between stock price and hazard rate as found in the paper by Takahashi, Kobayashi, and Nakagawa (2001) <doi:10.3905/jfi.2001.319302>. We use ideas and techniques from Andersen and Buffum (2002) <doi:10.2139/ssrn.355308> and Linetsky (2006) <doi:10.1111/j.1467-9965.2006.00271.x>.
Author: Brian K. Boonstra [aut, cre]
Maintainer: Brian K. Boonstra <ragtop@boonstra.org>

Diff between ragtop versions 1.2.1 dated 2026-06-15 and 1.3.1 dated 2026-06-20

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 20 files changed, 107 insertions(+), 81 deletions(-)

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New package reproducr with initial version 0.2.0
Package: reproducr
Title: Behavioural Reproducibility Auditing for R Projects
Version: 0.2.0
Description: Audits R scripts for behavioural reproducibility risk. Scans scripts for qualified package::function calls and checks them against a curated database of known silent breaking changes across popular CRAN packages. Flags stochastic calls lacking set.seed() and detects locale-sensitive operations that may produce different results across systems. Supports baseline certification of analytical outputs so that silent numerical drift can be detected across package upgrades or platform changes. Generates human-readable audit reports suitable for academic submission or pharmaceutical QC workflows. For more details see <https://github.com/repro-stats/reproducr>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.0.0)
Imports: utils
Suggests: digest (>= 0.6.0), jsonlite, commonmark, testthat (>= 3.0.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
URL: https://github.com/repro-stats/reproducr
BugReports: https://github.com/repro-stats/reproducr/issues
NeedsCompilation: no
Packaged: 2026-06-15 15:03:22 UTC; ndohpenn
Author: Ndoh Penn [aut, cre]
Maintainer: Ndoh Penn <ndohpenn9@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-20 14:10:02 UTC

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New package neuralnetwork with initial version 0.1.0
Package: neuralnetwork
Title: Fast Compact Multilayer Perceptrons
Version: 0.1.0
Description: A small multilayer perceptron implementation for 'R'. It supports regression and classification, multiple hidden layers, mini-batch training, Adam, SGD, momentum, Nesterov, RPROP, GRPROP and L-BFGS optimizers, dropout, L2 regularization, early stopping, convergence thresholds, gradient clipping, sample and class weights, callback hooks, target scaling and robust Huber loss for regression, 'Rcpp' forward-pass kernels, formula interfaces, model evaluation with balanced classification metrics, cross-validation, compact tuning, permutation importance, model persistence helpers, and 'S3' prediction methods. Methods follow Rumelhart, Hinton and Williams (1986) <doi:10.1038/323533a0>, with optimizers including Riedmiller and Braun (1993) <doi:10.1109/ICNN.1993.298623>, Nocedal (1980) <doi:10.1090/S0025-5718-1980-0572855-7>, and Kingma and Ba (2014) <doi:10.48550/arXiv.1412.6980>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: Rcpp
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-06-15 13:25:04 UTC; jifeng3
Author: Feng Ji [aut, cre]
Maintainer: Feng Ji <f.ji@utoronto.ca>
Repository: CRAN
Date/Publication: 2026-06-20 14:10:08 UTC

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Package MLE updated to version 1.8 with previous version 1.7 dated 2026-03-27

Title: Maximum Likelihood Estimation of Various Univariate and Multivariate Distributions
Description: Several functions for maximum likelihood estimation of various univariate and multivariate distributions. The list includes more than 100 functions for univariate continuous and discrete distributions, distributions that lie on the real line, the positive line, interval restricted, circular distributions. Further, multivariate continuous and discrete distributions, distributions for compositional and directional data, etc. Some references include Johnson N. L., Kotz S. and Balakrishnan N. (1994). "Continuous Univariate Distributions, Volume 1" <ISBN:978-0-471-58495-7>, Johnson, Norman L. Kemp, Adrianne W. Kotz, Samuel (2005). "Univariate Discrete Distributions". <ISBN:978-0-471-71580-1> and Mardia, K. V. and Jupp, P. E. (2000). "Directional Statistics". <ISBN:978-0-471-95333-3>.
Author: Michail Tsagris [aut, cre], Sofia Piperaki [aut], Muhammad Imran [ctb], Rafail Vargiakakis [aut], Nikolaos Kontemeniotis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between MLE versions 1.7 dated 2026-03-27 and 1.8 dated 2026-06-20

 DESCRIPTION       |   10 +++---
 MD5               |    8 ++---
 NAMESPACE         |    1 
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 man/hspher.mle.Rd |   81 ++++++++++++++++++++++++++++++++++++++++++++++--------
 5 files changed, 82 insertions(+), 20 deletions(-)

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New package ggkodom with initial version 1.0.3
Package: ggkodom
Title: Visualize Individual Longitudinal Trajectories
Version: 1.0.3
Description: A 'ggplot2'-based toolkit for visualizing individual-level longitudinal trajectories. Creates linear kodom plots, circular kodom plots, heatmaps, and state-ribbon charts for repeated-measures data. Each subject gets its own visual lane with measurements colored by value, revealing patterns across subjects and time. The circular variant resembles the Kodom flower.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: ggplot2 (>= 3.4.0), rlang, scales
Suggests: testthat (>= 3.0.0), lme4, mgcv, refund, fdapace, patchwork, knitr, rmarkdown, spelling
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-15 21:05:23 UTC; subroy13
Author: Ayoushman Bhattacharya [aut], Sayan Das [aut], Subrata Pal [aut], Subhrajyoty Roy [aut, cre]
Maintainer: Subhrajyoty Roy <subhrajyotyroy@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-20 14:30:02 UTC

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New package fda.vi with initial version 1.0.0
Package: fda.vi
Title: Functional Data Analysis using Variational Inference
Version: 1.0.0
Maintainer: Camila de Souza <camila.souza@uwo.ca>
Description: Implements a variational Expectation-Maximization (VEM) algorithm for smoothing one or multiple functional observations via basis function selection. The algorithm estimates all model parameters simultaneously and automatically, while accounting for within-curve correlation. The approach provides a flexible and computationally efficient framework for smoothing correlated functional data. The algorithm is described in da Cruz, A. C., de Souza, C. P., and Sousa, P. H. (2024). 'Fast Bayesian basis selection for functional data representation with correlated errors.' <doi:10.48550/arXiv.2405.20758>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: stats, graphics, fda, MASS, scales
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/desouzalab/fda.vi
BugReports: https://github.com/desouzalab/fda.vi/issues
NeedsCompilation: no
Packaged: 2026-05-26 15:06:52 UTC; carol
Author: Camila de Souza [cre], Stephen Kinsey [aut], Ana Carolina da Cruz [aut], Pedro Henrique Toledo Oliveira Sousa [aut]
Repository: CRAN
Date/Publication: 2026-06-20 14:10:14 UTC

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Package eplusr updated to version 0.17.0 with previous version 0.16.3 dated 2025-04-22

Title: A Toolkit for Using Whole Building Simulation Program 'EnergyPlus'
Description: A rich toolkit of using the whole building simulation program 'EnergyPlus'(<https://energyplus.net>), which enables programmatic navigation, modification of 'EnergyPlus' models and makes it less painful to do parametric simulations and analysis.
Author: Hongyuan Jia [aut, cre, cph] , Adrian Chong [aut]
Maintainer: Hongyuan Jia <hongyuanjia@cqust.edu.cn>

Diff between eplusr versions 0.16.3 dated 2025-04-22 and 0.17.0 dated 2026-06-20

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 75 files changed, 48430 insertions(+), 45361 deletions(-)

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New package survSampleSize with initial version 0.1.1
Package: survSampleSize
Title: Sample Size Calculator for Survival Endpoint Clinical Trials
Version: 0.1.1
Description: An interactive 'shiny' application for sample size and power calculation under general conditions for clinical trials with survival endpoints. Implements the weighted log-rank method of Lu (2021) <doi:10.1002/pst.2069> via the 'lrstat' package, supporting non-proportional hazards, delayed treatment effects, unequal allocation and dropout, as well as the classic method of Freedman (1982) <doi:10.1002/sim.4780010204> via the 'powerSurvEpi' package. Results are presented interactively with survival curves and event-prediction timelines.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: lrstat, powerSurvEpi, shiny, stats
Suggests: bslib, DT, ggplot2, knitr, plotly, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-15 13:44:10 UTC; lenovo
Author: Huai Jiang [aut, cre]
Maintainer: Huai Jiang <13661928191@163.com>
Repository: CRAN
Date/Publication: 2026-06-20 14:00:02 UTC

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New package spacc with initial version 0.8.3
Package: spacc
Title: Fast Spatial Species Accumulation Curves
Version: 0.8.3
Description: High-performance spatial species accumulation curves using nearest-neighbor algorithms. Implements 'kNN' and 'kNCN' sampling methods with a 'C++' backend for speed. Supports Hill numbers (q=0,1,2), beta diversity partitioning (turnover/nestedness), coverage-based rarefaction and extrapolation, phylogenetic diversity (Faith's PD, mean pairwise distance, mean nearest taxon distance), functional diversity accumulation, diversity-area relationships (DAR), endemism-area curves, sampling-effort correction and fragmentation analysis, and species-area relationship (SAR) models based on extreme value theory (EVT). Multiple starting points (seeds) provide uncertainty quantification. Methods are described in 'Chao' et al. (2014) <doi:10.1890/13-0133.1>, 'Baselga' (2010) <doi:10.1111/j.1466-8238.2009.00490.x>, 'Chao' and 'Jost' (2012) <doi:10.1890/11-1952.1>, 'Faith' (1992) <doi:10.1016/0006-3207(92)91201-3>, 'Ma' (2018) <doi:10.1002/ece3.4526>, 'Borda-de-Agua' et al. [...truncated...]
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
Depends: R (>= 3.5)
LinkingTo: Rcpp, RcppParallel
Imports: Rcpp, RcppParallel, stats, parallel
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, svglite, ggplot2, cli, sf, areaOfEffect, ape, iNEXT, betapart, cluster
VignetteBuilder: knitr
SystemRequirements: GNU make
URL: https://gillescolling.com/spacc/, https://github.com/gcol33/spacc
BugReports: https://github.com/gcol33/spacc/issues
NeedsCompilation: yes
Packaged: 2026-06-14 13:19:29 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-20 13:40:02 UTC

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New package scopusflow with initial version 0.1.0
Package: scopusflow
Title: A Reproducible Workflow Layer for 'Scopus' Bibliographic Searches
Version: 0.1.0
Description: A coherent, quota-aware workflow layer over the Elsevier 'Scopus' Search 'API' <https://dev.elsevier.com/sc_apis.html>. It builds reproducible search plans, retrieves records with rate-limit handling, retry with back-off and optional resumable caching, normalises results to a stable tidy schema, extracts and tracks changes in Digital Object Identifiers (DOIs), compares publication trends across topics and exports to formats compatible with downstream bibliometric tools. Network and 'API' errors are surfaced as typed conditions so that callers can respond to them programmatically. 'Scopus' is a trademark of Elsevier. This package is an independent client and is not affiliated with or endorsed by Elsevier.
License: MIT + file LICENSE
URL: https://github.com/pablobernabeu/scopusflow, https://pablobernabeu.github.io/scopusflow/
BugReports: https://github.com/pablobernabeu/scopusflow/issues
Depends: R (>= 4.1.0)
Imports: cli, httr2 (>= 1.0.0), jsonlite, rlang (>= 1.0.0), stats, tibble, tools, utils
Suggests: ggplot2, knitr, rmarkdown, spelling, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Language: en-GB
NeedsCompilation: no
Packaged: 2026-06-14 22:23:30 UTC; PabloB
Author: Pablo Bernabeu [aut, cre, cph]
Maintainer: Pablo Bernabeu <pcbernabeu@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-20 13:50:02 UTC

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New package muiDataGrid with initial version 0.1.2
Package: muiDataGrid
Title: 'MUI X Data Grid' for 'shiny' Apps and 'Quarto'
Version: 0.1.2
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>
Description: Provides access to 'MUI X Data Grid', a fast and extensible React data table and React data grid, with filtering, sorting, pagination, and more. Bundles the MIT-licensed community edition of the '@mui/x-data-grid' JavaScript library (the commercial 'Pro' and 'Premium' tiers are not included).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.4)
Imports: htmltools, shiny, shiny.react (>= 0.4.0), muiMaterial (>= 0.2.0), utils
Suggests: knitr, rmarkdown, dplyr, testthat (>= 3.0.0)
URL: https://felixluginbuhl.com/muiDataGrid/
BugReports: https://github.com/lgnbhl/muiDataGrid/issues
NeedsCompilation: no
Packaged: 2026-06-14 10:48:41 UTC; felix
Author: Felix Luginbuhl [aut, cre, cph] , MUI [cph] , Meta Platforms, Inc. and affiliates [cph]
Repository: CRAN
Date/Publication: 2026-06-20 13:30:02 UTC

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New package gleifr with initial version 0.1.0
Package: gleifr
Title: Client for the 'GLEIF' API
Version: 0.1.0
Description: Download legal entity reference data from the 'Global Legal Entity Identifier Foundation' ('GLEIF') API. Retrieve Legal Entity Identifier ('LEI') records, their direct and ultimate parent and child relationships, accredited issuers ('Local Operating Units'), and mappings from 'LEI' codes to other identifiers such as 'ISIN', 'BIC', and 'MIC'. See <https://www.gleif.org/en/lei-data/gleif-api> for further details.
License: MIT + file LICENSE
URL: https://m-muecke.github.io/gleifr/, https://github.com/m-muecke/gleifr
BugReports: https://github.com/m-muecke/gleifr/issues
Depends: R (>= 4.1.0)
Imports: curl, httr2, rvest, stats, utils
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-15 13:51:00 UTC; mmuecke
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-20 14:00:07 UTC

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Package DTSR readmission to version 0.2.2 with previous version 0.2.0 dated 2025-04-27

Title: Distributed Trimmed Scores Regression for Handling Missing Data
Description: Provides functions for handling missing data using Distributed Trimmed Scores Regression and other imputation methods. It includes facilities for data imputation, evaluation metrics, and clustering analysis. It is designed to work in distributed computing environments to handle large datasets efficiently. The philosophy of the package is described in Guo G. (2024) <doi:10.1080/03610918.2022.2091779>.
Author: Guangbao Guo [aut, cre, cph] , Ruiling Niu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

This is a re-admission after prior archival of version 0.2.0 dated 2025-04-27

Diff between DTSR versions 0.2.0 dated 2025-04-27 and 0.2.2 dated 2026-06-20

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New package coxstream with initial version 0.1.0
Package: coxstream
Title: Memory-Efficient Cox Proportional Hazards via Streaming Newton-Raphson
Version: 0.1.0
Description: Fits the Cox proportional hazards model using a single descending-order pass per Newton-Raphson iteration. Peak RAM is O(p^2) regardless of the number of rows, making it suitable for datasets that do not fit in memory. Produces identical coefficients to survival::coxph() with Efron tie correction.
URL: https://github.com/tommycarstensen/coxstream-r
BugReports: https://github.com/tommycarstensen/coxstream-r/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp, survival
LinkingTo: Rcpp
Suggests: arrow, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-06-14 21:24:20 UTC; tommy
Author: Tommy Carstensen [aut, cre] , Apache Software Foundation [cph, ctb] , Apache-2.0)
Maintainer: Tommy Carstensen <cran@tommycarstensen.com>
Repository: CRAN
Date/Publication: 2026-06-20 13:40:11 UTC

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New package CamelRatiosIndex with initial version 1.0.0
Package: CamelRatiosIndex
Title: Multivariate-Weighted Indexing of CAMEL Ratios for Bank Performance
Version: 1.0.0
Description: Computes a composite year-on-year index for bank performance assessment using the CAMEL framework (Capital Adequacy, Asset Quality, Management Efficiency, Earnings, Liquidity). The multivariate weighting scheme employs factor analysis with robust covariance estimation to derive communality-based weights from the correlation matrix of CAMEL ratios. Provides functions for index computation, visualization, and comparison across banks and time periods.The methodology is described in Ayimah et al. (2023a) <doi:10.9734/bpi/mono/978-81-19315-32-1> and Ayimah et al. (2023b) <https://ajtem.com/index.php/ajtem/article/view/53>.
License: MIT + file LICENSE
URL: https://github.com/JC-Ayimah/CamelRatiosIndex, https://JC-Ayimah.github.io/CamelRatiosIndex/
BugReports: https://github.com/JC-Ayimah/CamelRatiosIndex/issues
Depends: R (>= 3.5)
Imports: cli (>= 3.6.0), dplyr (>= 1.1.0), ggplot2 (>= 3.4.0), robustfa, rrcov, stats, tibble (>= 3.2.0), utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-15 08:25:35 UTC; JC-AYIMAH
Author: John Coker Ayimah [aut, cph, cre], George Kyei Agyen [aut, cph], Raymond Achiyaale [aut, cph]
Maintainer: John Coker Ayimah <jayimah@htu.edu.gh>
Repository: CRAN
Date/Publication: 2026-06-20 13:50:08 UTC

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Package Gmisc updated to version 3.4.0 with previous version 3.3.0 dated 2026-06-02

Title: Descriptive Statistics, Transition Plots, and More
Description: Utilities for common medical-statistics graphics and tables, including automatic creation of publication-ready "Table 1" summaries; transition (Sankey) plots; flow-chart helpers that extend the grid package; Bézier lines and arrows; and a singular-value-decomposition- based variable-selection method.
Author: Max Gordon [aut, cre]
Maintainer: Max Gordon <max@gforge.se>

Diff between Gmisc versions 3.3.0 dated 2026-06-02 and 3.4.0 dated 2026-06-20

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Package tidyclust updated to version 0.3.1 with previous version 0.3.0 dated 2026-05-21

Title: A Common API to Clustering
Description: A common interface to specifying clustering models, in the same style as 'parsnip'. Creates unified interface across different functions and computational engines.
Author: Emil Hvitfeldt [aut, cre] , Kelly Bodwin [aut], Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

Diff between tidyclust versions 0.3.0 dated 2026-05-21 and 0.3.1 dated 2026-06-20

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Package mintyr updated to version 0.1.3 with previous version 0.1.2 dated 2025-10-25

Title: High-Performance Phenotypic Data Pipelines for Breeding
Description: A streamlined toolkit specifically designed for genomic selection and quantitative genetics in animal breeding. It provides high-performance data manipulation backed by 'data.table', focusing on multi-breed and multi-trait nested grouping operations. Features include zero-copy data importing, automated cross-validation splitting, and robust tools to generate and batch-export formatted phenotypic files required by various breeding software (e.g., 'ASReml-R', 'HIBLUP', 'DMU'), heavily optimizing iterative variance component analysis and large-scale evaluation pipelines.
Author: Guo Meng [aut, cre], Guo Meng [cph]
Maintainer: Guo Meng <tony2015116@163.com>

Diff between mintyr versions 0.1.2 dated 2025-10-25 and 0.1.3 dated 2026-06-20

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Package glyparse updated to version 0.6.1 with previous version 0.6.0 dated 2026-04-29

Title: Parsing Glycan Structure Text Representations
Description: Provides functions to parse glycan structure text representations into 'glyrepr' glycan structures. Currently, it supports StrucGP-style, pGlyco-style, IUPAC-condensed, IUPAC-extended, IUPAC-short, WURCS, Linear Code, and GlycoCT format. It also provides an automatic parser to detect the format and parse the structure string.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

Diff between glyparse versions 0.6.0 dated 2026-04-29 and 0.6.1 dated 2026-06-20

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Package tidypmc (with last version 2.0) was removed from CRAN

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

2024-08-27 2.0
2019-08-01 1.7

Permanent link
Package QuantBondCurves (with last version 0.3.2) was removed from CRAN

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

2025-07-06 0.3.2
2025-01-08 0.3.1
2024-05-16 0.3.0
2024-01-19 0.2.0
2023-07-13 0.1.0

Permanent link
Package sparklyr updated to version 1.9.5 with previous version 1.9.4 dated 2026-04-18

Title: R Interface to Apache Spark
Description: R interface to Apache Spark, a fast and general engine for big data processing, see <https://spark.apache.org/>. This package supports connecting to local and remote Apache Spark clusters, provides a 'dplyr' compatible back-end, and provides an interface to Spark's built-in machine learning algorithms.
Author: Javier Luraschi [aut], Kevin Kuo [aut] , Kevin Ushey [aut], JJ Allaire [aut], Samuel Macedo [ctb], Hossein Falaki [aut], Lu Wang [aut], Andy Zhang [aut], Yitao Li [aut] , Jozef Hajnala [ctb], Maciej Szymkiewicz [ctb] , Wil Davis [ctb], Edgar Ruiz [au [...truncated...]
Maintainer: Edgar Ruiz <edgar@rstudio.com>

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Package netmeta updated to version 3.6-1 with previous version 3.6-0 dated 2026-06-10

Title: Network Meta-Analysis using Frequentist Methods
Description: A comprehensive set of functions providing frequentist methods for network meta-analysis (Balduzzi et al., 2023) <doi:10.18637/jss.v106.i02> and supporting Schwarzer et al. (2015) <doi:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis": - frequentist network meta-analysis following Rücker (2012) <doi:10.1002/jrsm.1058>; - additive network meta-analysis for combinations of treatments (Rücker et al., 2020) <doi:10.1002/bimj.201800167>; - network meta-analysis of binary data using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019) <doi:10.1002/sim.8158>, or penalised logistic regression (Evrenoglou et al., 2022) <doi:10.1002/sim.9562>; - rankograms and ranking of treatments by the Surface under the cumulative ranking curve (SUCRA) (Salanti et al., 2013) <doi:10.1016/j.jclinepi.2010.03.016>; - ranking of treatments using P-scores (frequentist analogue of SUCRAs without resampling) according to [...truncated...]
Author: Gerta Ruecker [aut] , Ulrike Krahn [aut], Jochem Koenig [aut] , Orestis Efthimiou [aut] , Annabel Davies [aut] , Theodoros Papakonstantinou [aut] , Theodoros Evrenoglou [ctb] , Krzysztof Ciomek [ctb] , Nana-adjoa Kwarteng [ctb] , Guido Schwarzer [aut, [...truncated...]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

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Package mapgl updated to version 0.5.0 with previous version 0.4.6 dated 2026-04-14

Title: Interactive Maps with 'Mapbox GL JS' and 'MapLibre GL JS'
Description: Provides an interface to the 'Mapbox GL JS' (<https://docs.mapbox.com/mapbox-gl-js/guides>) and the 'MapLibre GL JS' (<https://maplibre.org/maplibre-gl-js/docs/>) interactive mapping libraries to help users create custom interactive maps in R. Users can create interactive globe visualizations; layer 'sf' objects to create filled maps, circle maps, 'heatmaps', and three-dimensional graphics; and customize map styles and views. The package also includes utilities to use 'Mapbox' and 'MapLibre' maps in 'Shiny' web applications.
Author: Kyle Walker [aut, cre], Egor Kotov [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

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Fri, 19 Jun 2026

Package whisper updated to version 0.4.0 with previous version 0.3.0 dated 2026-03-13

Title: Native R 'torch' Implementation of 'OpenAI' 'Whisper'
Description: Speech-to-text transcription using a native R 'torch' implementation of 'OpenAI' 'Whisper' model <https://github.com/openai/whisper>. Supports multiple model sizes from tiny (39M parameters) to large-v3 (1.5B parameters) with integrated download from 'HuggingFace' <https://huggingface.co/> via the 'hfhub' package. Provides automatic speech recognition with optional language detection and translation to English. Audio preprocessing, mel spectrogram computation, and transformer-based encoder-decoder inference are all implemented in R using the 'torch' package.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph], OpenAI [cph] )
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package RMediation updated to version 1.5.0 with previous version 1.3.0 dated 2025-11-20

Title: Mediation Analysis Confidence Intervals
Description: Computes confidence intervals for nonlinear functions of model parameters (e.g., product of k coefficients) in single-level and multilevel structural equation models. Methods include the distribution of the product, Monte Carlo simulation, and bootstrap methods. It also performs the Model-Based Constrained Optimization (MBCO) procedure for hypothesis testing of indirect effects. References: Tofighi, D., and MacKinnon, D. P. (2011). RMediation: An R package for mediation analysis confidence intervals. Behavior Research Methods, 43, 692-700. <doi:10.3758/s13428-011-0076-x>; Tofighi, D., and Kelley, K. (2020). Improved inference in mediation analysis: Introducing the model-based constrained optimization procedure. Psychological Methods, 25(4), 496-515. <doi:10.1037/met0000259>; Tofighi, D. (2020). Bootstrap Model-Based Constrained Optimization Tests of Indirect Effects. Frontiers in Psychology, 10, 2989. <doi:10.3389/fpsyg.2019.02989>.
Author: Davood Tofighi [aut, cre]
Maintainer: Davood Tofighi <dtofighi@gmail.com>

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Package autoReg updated to version 0.3.5 with previous version 0.3.3 dated 2023-11-14

Title: Automatic Linear and Logistic Regression and Survival Analysis
Description: Make summary tables for descriptive statistics and select explanatory variables automatically in various regression models. Support linear models, generalized linear models and cox-proportional hazard models. Generate publication-ready tables summarizing result of regression analysis and plots. The tables and plots can be exported in "HTML", "pdf('LaTex')", "docx('MS Word')" and "pptx('MS Powerpoint')" documents.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

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Package scmSpillover updated to version 0.1.2 with previous version 0.1.1 dated 2026-01-09

Title: Synthetic Control Method with Spillover Effects
Description: A general-purpose implementation of synthetic control methods that accounts for potential spillover effects between units. Based on the methodology of Cao and Dowd (2019).
Author: Jianfei Cao [aut], Zhanchao Fu [cre]
Maintainer: Zhanchao Fu <fuzhanchao2001@gmail.com>

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Package condathis updated to version 0.1.4 with previous version 0.1.3 dated 2025-11-08

Title: Run Any CLI Tool on a 'Conda' Environment
Description: Simplifies the execution of command line interface (CLI) tools within isolated and reproducible environments. It enables users to effortlessly manage 'Conda' environments, execute command line tools, handle dependencies, and ensure reproducibility in their data analysis workflows.
Author: Lucio Queiroz [aut, cre, cph] , Claudio Zanettini [aut, ctb]
Maintainer: Lucio Queiroz <luciorqueiroz@gmail.com>

Diff between condathis versions 0.1.3 dated 2025-11-08 and 0.1.4 dated 2026-06-19

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Package earthdatalogin updated to version 0.0.5 with previous version 0.0.4 dated 2026-06-12

Title: NASA 'EarthData' Access Utilities
Description: Providing easy, portable access to NASA 'EarthData' products through the use of bearer tokens. Much of NASA's public data catalogs hosted and maintained by its 12 Distributed Active Archive Centers ('DAACs') are now made available on the Amazon Web Services 'S3' storage. However, accessing this data through the standard 'S3' API is restricted to only to compute resources running inside 'us-west-2' Data Center in Portland, Oregon, which allows NASA to avoid being charged data egress rates. This package provides public access to the data from any networked device by using the 'EarthData' login application programming interface (API), <https://www.earthdata.nasa.gov/data/earthdata-login>, providing convenient authentication and access to cloud-hosted NASA 'EarthData' products. This makes access to a wide range of earth observation data from any location straight forward and compatible with R packages that are widely used with cloud native earth observation data (such as 'terra', 's [...truncated...]
Author: Carl Boettiger [aut, cre, cph] , Luis Lopez [aut] , Yuvi Panda [aut], Bri Lind [aut] , Andy Teucher [ctb] , Openscapes [fnd]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package treesitter.r updated to version 1.3.0 with previous version 1.2.0 dated 2025-06-05

Title: 'R' Grammar for 'Tree-Sitter'
Description: Provides bindings to an 'R' grammar for 'Tree-sitter', to be used alongside the 'treesitter' package. 'Tree-sitter' builds concrete syntax trees for source files of any language, and can efficiently update those syntax trees as the source file is edited.
Author: Davis Vaughan [aut, cre], Posit Software, PBC [cph, fnd], Tree-sitter authors [cph]
Maintainer: Davis Vaughan <davis@posit.co>

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Package stt.api updated to version 0.3.0 with previous version 0.2.1 dated 2026-04-01

Title: 'OpenAI' Compatible Speech-to-Text API Client
Description: A minimal-dependency R client for 'OpenAI'-compatible speech-to-text APIs (see <https://platform.openai.com/docs/api-reference/audio>) with optional local fallbacks. Supports 'OpenAI', local servers, and the 'whisper' package for local transcription.
Author: Troy Hernandez [aut, cre] , Cornball AI [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

Diff between stt.api versions 0.2.1 dated 2026-04-01 and 0.3.0 dated 2026-06-19

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Package rstudiothemes updated to version 1.1.2 with previous version 1.1.1 dated 2026-05-11

Title: Create and Install Custom 'RStudio' Themes
Description: Create, convert and install custom 'RStudio' editor themes from 'Visual Studio Code', 'Positron' and 'TextMate' theme files. Convert themes between 'TextMate', 'Visual Studio Code' and 'Positron' formats and install bundled ports of popular themes for use in 'RStudio'.
Author: Diego Hernangomez [aut, cre, cph] , Garrick Aden-Buie [cph] function)
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package craftgrn updated to version 0.1.7 with previous version 0.1.6 dated 2026-06-18

Title: Integrative Chromatin Accessibility and RNA Framework for Gene Regulatory Networks
Description: Provides a reproducible framework for constructing and comparing gene regulatory networks by integrating chromatin accessibility footprint scores with matched RNA expression data. It implements context-specific enhancer-gene linking, transcription factor focused network analysis, differential network analysis, and regulatory topic modeling workflows for systematic exploration of gene regulation across conditions. Methodological background is described in Bentsen and others (2020) <doi:10.1038/s41467-020-18035-1>, Blei, Ng and Jordan (2003) <https://www.jmlr.org/papers/v3/blei03a.html>, and Chen, Li, Zhu and Chen (2015) <doi:10.48550/arXiv.1510.08628>.
Author: Yaoxiang Li [aut, cre], Chunling Yi [aut]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>

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Package blogdown updated to version 1.24 with previous version 1.23 dated 2026-01-17

Title: Create Blogs and Websites with R Markdown
Description: Write blog posts and web pages in R Markdown. This package supports the static site generator 'Hugo' (<https://gohugo.io>) best, and it also supports 'Jekyll' (<https://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).
Author: Yihui Xie [aut, cre] , Christophe Dervieux [aut] , Alison Presmanes Hill [aut] , Amber Thomas [ctb], Beilei Bian [ctb], Brandon Greenwell [ctb], Brian Barkley [ctb], Deependra Dhakal [ctb], Eric Nantz [ctb], Forest Fang [ctb], Garrick Aden-Buie [ctb] [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package bean updated to version 0.2.2 with previous version 0.2.1 dated 2026-06-08

Title: Data Thinning of Species Occurrences in Environmental Space
Description: A suite of tools to mitigate sampling bias in species occurrence records by thinning data in the environmental space (E-space). This process can improve the accuracy and precision of species distribution models (SDM, also known as ecological niche models, ENM). The package offers a data-driven protocol to determine thinning parameters using kernel-density bandwidth selection. Two thinning methods are provided (stochastic and deterministic) to reduce over-sampled environmental conditions and down-weight outlier observations. The name 'bean' reflects the core principle of the method: each 'pod' (a grid cell in E-space) is allowed to contain only a limited number of 'beans' (occurrence points). See Silverman (1986, ISBN:978-0-412-24620-3) and Rousseeuw and Leroy (2003, ISBN:978-0-471-48855-2) for the underlying statistical methods.
Author: Paanwaris Paansri [cre, aut] , Luis E. Escobar [aut, ctb]
Maintainer: Paanwaris Paansri <paanwaris@vt.edu>

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Package metasnf updated to version 2.3.0 with previous version 2.1.2 dated 2025-04-28

Title: Meta Clustering with Similarity Network Fusion
Description: Framework to facilitate patient subtyping with similarity network fusion and meta clustering. The similarity network fusion (SNF) algorithm was introduced by Wang et al. (2014) in <doi:10.1038/nmeth.2810>. SNF is a data integration approach that can transform high-dimensional and diverse data types into a single similarity network suitable for clustering with minimal loss of information from each initial data source. The meta clustering approach was introduced by Caruana et al. (2006) in <doi:10.1109/ICDM.2006.103>. Meta clustering involves generating a wide range of cluster solutions by adjusting clustering hyperparameters, then clustering the solutions themselves into a manageable number of qualitatively similar solutions, and finally characterizing representative solutions to find ones that are best for the user's specific context. This package provides a framework to easily transform multi-modal data into a wide range of similarity network fusion-derived cluster solutio [...truncated...]
Author: Prashanth S Velayudhan [aut, cre], Xiaoqiao Xu [aut], Prajkta Kallurkar [aut], Ana Patricia Balbon [aut], Maria T Secara [aut], Adam Taback [aut], Denise Sabac [aut], Nicholas Chan [aut], Shihao Ma [aut], Bo Wang [aut], Daniel Felsky [aut], Stephanie [...truncated...]
Maintainer: Prashanth S Velayudhan <psvelayu@gmail.com>

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Package crossnma updated to version 1.3.1 with previous version 1.3.0 dated 2024-11-28

Title: Cross-Design & Cross-Format Network Meta-Analysis and Regression
Description: Network meta-analysis and meta-regression (allows including up to three covariates) for individual participant data, aggregate data, and mixtures of both formats using the three-level hierarchical model. Each format can come from randomized controlled trials or non-randomized studies or mixtures of both. Estimates are generated in a Bayesian framework using JAGS. The implemented models are described by Hamza et al. 2023 <DOI:10.1002/jrsm.1619>.
Author: Tasnim Hamza [aut] , Guido Schwarzer [aut, cre] , Georgia Salanti [aut]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

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Package rLifting updated to version 1.0.0 with previous version 0.9.0 dated 2026-02-20

Title: High-Performance Wavelet Lifting Transforms
Description: Performs Wavelet Lifting Transforms focusing on signal denoising and functional data analysis (FDA). Implements a hybrid architecture with a zero-allocation 'C++' core for high-performance processing. Features include unified offline (batch) denoising, causal (real-time) filtering using a ring buffer engine, and adaptive recursive thresholding.
Author: Moises da Silva [aut, cre]
Maintainer: Moises da Silva <moisesdff8@gmail.com>

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Package bdlnm updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-18

Title: Bayesian Distributed Lag Non-Linear Models (B-DLNM)
Description: A Bayesian framework for estimating distributed lag linear and non-linear models. Model fitting is implemented using Integrated Nested Laplace Approximation (R package 'INLA'), together with prediction and visualization of exposure-lag-response associations. Additional functions allow estimation of optimal exposure values (e.g., minimum mortality temperature) and computation of attributable fractions and numbers. Models with 'crossbasis' or 'onebasis' terms are supported (R package 'dlnm').
Author: Pau Satorra [aut, cre] , Marcos Quijal-Zamorano [aut], Joan Ballester [aut], Cristian Tebe [ctb], Miguel A. Martinez-Beneito [aut, ths], Marc Mari-Dell'Olmo [aut, ths]
Maintainer: Pau Satorra <psatorra@igtp.cat>

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Package surveyPrev updated to version 2.0.0 with previous version 1.0.0 dated 2024-04-10

Title: Mapping the Prevalence of Binary Indicators using Survey Data in Small Areas
Description: Provides a pipeline to perform small area estimation and prevalence mapping of binary indicators using health and demographic survey data, described in Dong et al. (2026) <doi:10.1093/jssam/smaf048>, Wakefield et al. (2025) <doi:10.48550/arXiv.2110.09576> and Wakefield et al. (2020) <doi:10.1111/insr.12400>.
Author: Qianyu Dong [cre, aut], Zehang R Li [aut], Yunhan Wu [aut], Jieyi Xu [aut], Andrea Boskovic [aut], Jon Wakefield [aut]
Maintainer: Qianyu Dong <qdong14@ucsc.edu>

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New package rolleigen with initial version 1.0.0
Package: rolleigen
Title: Rolling Eigenanalysis
Version: 1.0.0
Description: Fast and efficient computation of rolling and expanding eigenanalysis for time-series data. The 'rolleigen' package decomposes the covariance matrix of the explanatory variables into eigenvalues and eigenvectors to perform principal component analysis (Pearson, 1901, <doi:10.1080/14786440109462720>; Hotelling, 1933, <doi:10.1037/h0071325>) and principal component regression (Massy, 1965, <doi:10.1080/01621459.1965.10480787>) over rolling and expanding windows. For each window, the eigenvalues and eigenvectors are computed from the covariance matrix and, optionally, ordered from largest to smallest to summarize the directions of greatest variation in the data. A subset of leading components is then used to fit a regression that mitigates collinearity in the explanatory variables. Use cases include dimensionality reduction, factor extraction, and regression on collinear explanatory variables. The package supports rolling and expanding windows, weights, and handling of m [...truncated...]
License: GPL (>= 2)
URL: https://github.com/jasonjfoster/rolleigen
BugReports: https://github.com/jasonjfoster/rolleigen/issues
Depends: R (>= 3.5.0)
Imports: Rcpp, RcppParallel
Suggests: covr, pls, roll, testthat, zoo
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, roll (>= 1.1.7)
Encoding: UTF-8
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2026-06-13 18:07:31 UTC; jason
Author: Jason Foster [aut, cre]
Maintainer: Jason Foster <jason.j.foster@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-19 16:10:02 UTC

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Package Rcmdr updated to version 2.13.0 with previous version 2.12.3 dated 2026-05-03

Title: R Commander
Description: A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.
Author: John Fox [aut], Milan Bouchet-Valat [aut], Manuel Munoz-Marquez [aut, cre], Liviu Andronic [ctb], Michael Ash [ctb], Theophilius Boye [ctb], Stefano Calza [ctb], Andy Chang [ctb], Vilmantas Gegzna [ctb], Philippe Grosjean [ctb], Richard Heiberger [ct [...truncated...]
Maintainer: Manuel Munoz-Marquez <manuel.munoz@uca.es>

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New package predmicror with initial version 1.3.2
Package: predmicror
Title: Fitting Predictive Microbiology Models
Version: 1.3.2
Date: 2026-06-05
Description: Provides predictive microbiology model functions and convenience wrappers for fitting primary growth, microbial inactivation, dynamic, omnibus, and cardinal parameter models to experimental data using nonlinear least squares and related mixed-effects or time-varying workflows. Includes helper functions for extracting fitted values, calculating model diagnostics, and comparing fitted models. Implemented model families include those described by: Zwietering et al. (1990) <doi:10.1128/AEM.56.6.1875-1881.1990>, Baranyi and Roberts (1994) <doi:10.1016/0168-1605(94)90157-0>, Baranyi and Roberts (1995) <doi:10.1016/0168-1605(94)00121-L>, Buchanan et al. (1997) <doi:10.1006/fmic.1997.0125>, Richards (1959) <doi:10.1093/jxb/10.2.290>, Fang et al. (2012) <doi:10.1111/j.1750-3841.2012.02873.x>, Fang et al. (2013) <doi:10.1016/j.fm.2012.12.005>, Huang (2008) <doi:10.1111/j.1750-3841.2008.00785.x>, Huang (2009) <doi:10.1016/j.jfoodeng.2008.07.011&g [...truncated...]
Depends: R (>= 3.4.0)
Imports: graphics, gslnls, nlme, Rdpack, stats, utils
License: GPL (>= 3)
LazyLoad: yes
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Suggests: knitr, rmarkdown, htmltools, commonmark, shinyAce, testthat (>= 3.0.0), ggplot2, deSolve, FME, minpack.lm, reshape2, readxl, shiny
VignetteBuilder: knitr
URL: https://fsqanalytics.github.io/predmicror/, https://github.com/fsqanalytics/predmicror
BugReports: https://github.com/fsqanalytics/predmicror/issues
Packaged: 2026-06-13 22:58:17 UTC; vcadavez
Author: Vasco Cadavez [aut, cre] , Ursula Gonzales-Barron [aut]
Maintainer: Vasco Cadavez <vcadavez@ipb.pt>
Repository: CRAN
Date/Publication: 2026-06-19 16:30:02 UTC

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New package ppmSDR with initial version 2.0.0
Package: ppmSDR
Title: Penalized Principal Machine for Sufficient Dimension Reduction
Version: 2.0.0
Author: Jungmin Shin [aut, cre] , Seung Jun Shin [aut]
Maintainer: Jungmin Shin <c16267@gmail.com>
Description: A unified, computation-friendly framework for penalized principal machines (P2M), a class of sparse sufficient dimension reduction (SDR) estimators for regression and binary classification. Principal machines (PM) estimate the central subspace by solving a family of convex-loss problems over several cutoffs; their penalized counterparts (P2M) add a row-group sparsity penalty so that dimension reduction and variable selection are performed simultaneously. All estimators are fitted by a single group coordinate descent (GCD) algorithm that accommodates least squares, logistic, asymmetric least squares, L2-hinge, hinge (support vector machine, SVM) and quantile losses, together with the least absolute shrinkage and selection operator (LASSO), the smoothly clipped absolute deviation (SCAD) penalty and the minimax concave penalty (MCP). Methods are described in Li, Artemiou and Li (2011) <doi:10.1214/11-AOS932>, Shin and Artemiou (2017) <doi:10.1016/j.csda.2016.12.003>, Artemiou, [...truncated...]
Depends: R (>= 4.1.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, Matrix, grpreg, energy
Suggests: MASS, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/c16267/ppmSDR
BugReports: https://github.com/c16267/ppmSDR/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-13 23:05:11 UTC; shin.991
Repository: CRAN
Date/Publication: 2026-06-19 16:30:10 UTC

More information about ppmSDR at CRAN
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Package CAST updated to version 1.1.0 with previous version 1.0.4 dated 2026-01-26

Title: 'caret' Applications for Spatial-Temporal Models
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. It includes the newly suggested 'Nearest neighbor distance matching' cross-validation to estimate the performance of spatial prediction models and allows for spatial variable selection to selects suitable predictor variables in view to their contribution to the spatial model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>; Milà et al. (2022) <doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022) <doi:10.1038/s41467-022-29838-9>; L [...truncated...]
Author: Hanna Meyer [cre, aut], Carles Mila [aut], Marvin Ludwig [aut], Jan Linnenbrink [aut], Fabian Schumacher [aut], Philipp Otto [ctb], Chris Reudenbach [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb], Jakub Nowosad [ctb], Darius Goergen [ctb]
Maintainer: Hanna Meyer <hanna.meyer@uni-muenster.de>

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Permanent link

Package ztable updated to version 0.2.5 with previous version 0.2.3 dated 2021-09-28

Title: Zebra-Striped Tables in LaTeX and HTML Formats
Description: Makes zebra-striped tables (tables with alternating row colors) in LaTeX and HTML formats easily from a data.frame, matrix, lm, aov, anova, glm, coxph, nls, fitdistr, mytable and cbind.mytable objects.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

Diff between ztable versions 0.2.3 dated 2021-09-28 and 0.2.5 dated 2026-06-19

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More information about ztable at CRAN
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Package terra updated to version 1.9-34 with previous version 1.9-27 dated 2026-05-10

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started.
Author: Robert J. Hijmans [cre, aut] , Andrew Brown [aut] , Marcia Barbosa [aut] , Krzysztof Dyba [ctb] , Roger Bivand [ctb] , Michael Chirico [ctb] , Emanuele Cordano [ctb] , Edzer Pebesma [ctb] , Barry Rowlingson [ctb] , Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between terra versions 1.9-27 dated 2026-05-10 and 1.9-34 dated 2026-06-19

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 terra-1.9-34/terra/src/gdalio.cpp                      |   23 
 terra-1.9-34/terra/src/geos_methods.cpp                |  298 ++++++
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 terra-1.9-34/terra/src/raster_stats.cpp                |   26 
 terra-1.9-34/terra/src/read_gdal.cpp                   |  159 +++
 terra-1.9-34/terra/src/read_ogr.cpp                    |   39 
 terra-1.9-34/terra/src/sample.cpp                      |    2 
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 terra-1.9-34/terra/src/spatVector.cpp                  |   45 -
 terra-1.9-34/terra/src/spatVector.h                    |    4 
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 87 files changed, 2390 insertions(+), 752 deletions(-)

More information about terra at CRAN
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New package rurl with initial version 1.2.0
Package: rurl
Title: Parse, Clean, and Normalize URLs
Version: 1.2.0
Language: en-US
Description: A lightweight toolkit for extracting structured information from URLs. Includes functions for parsing, normalizing protocols, extracting domains, and constructing clean URLs. The package includes a processed copy of the Public Suffix List from <https://publicsuffix.org> for domain extraction.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: utils, curl, stringi, punycoder (>= 1.0.0)
URL: https://github.com/bart-turczynski/rurl
BugReports: https://github.com/bart-turczynski/rurl/issues
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, withr
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-13 10:02:53 UTC; bartturczynski
Author: Bart Turczynski [aut, cre]
Maintainer: Bart Turczynski <bartek+rurl@turczynski.pl>
Repository: CRAN
Date/Publication: 2026-06-19 15:50:02 UTC

More information about rurl at CRAN
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New package pavdata with initial version 0.1.0
Package: pavdata
Title: Transportation Infrastructure Data Toolbox
Version: 0.1.0
Author: Vilmar Faustino do Nascimento [aut, cre], Carlos David Rodrigues Melo [aut], Nelson de Oliveira Quesado Filho [aut], Jorge Barbosa Soares [con]
Maintainer: Vilmar Faustino do Nascimento <vilmarfaustinok@gmail.com>
Description: An open-source toolbox for storing, validating, managing, and exploring transportation infrastructure data. Provides a relational data model for binders, aggregates, mixtures, and test results, with a human-readable file format (.pavdata) aligned with FAIR principles.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: jsonlite, uuid, graphics
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-13 17:31:51 UTC; nelsonquesado
Repository: CRAN
Date/Publication: 2026-06-19 16:00:02 UTC

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New package OrdinalCompositions with initial version 0.1.0
Package: OrdinalCompositions
Title: Wasserstein-Based Regression for Ordinal Compositional Data
Version: 0.1.0
Date: 2026-06-05
Maintainer: Nicola Piras <nicola.piras97@unica.it>
Description: Tools analyzing regression models for ordinal compositional data using Wasserstein-based distances. The package includes linear programming solvers under simplex constraints, tensor product constructions and performance metrics.
Depends: R (>= 3.5.0)
Imports: lpSolveAPI, stats, extraDistr
Suggests: codalm, knitr, rmarkdown
License: GPL-2
NeedsCompilation: no
Packaged: 2026-06-13 09:40:49 UTC; nicol
Author: Nicola Piras [aut, cre], Monica Musio [aut], Beniamino Cappelletti-Montano [aut]
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
Repository: CRAN
Date/Publication: 2026-06-19 15:50:18 UTC

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New package mx.client with initial version 0.1.1
Package: mx.client
Title: Stateful Matrix Client Helpers
Version: 0.1.1
Date: 2026-06-13
Description: Stateful helpers for building 'Matrix' (<https://matrix.org>) chat clients in R. Builds on the low-level 'mx.api' Client-Server API bindings, adding local configuration persistence, room resolution, sync cursor handling, sync-event extraction, invite acceptance, a conservative Markdown-to-HTML converter for formatted messages, and 'Olm'/'Megolm' end-to-end encryption orchestration over the optional 'mx.crypto' package.
License: Apache License (>= 2)
URL: https://github.com/cornball-ai/mx.client
BugReports: https://github.com/cornball-ai/mx.client/issues
Depends: R (>= 4.0)
Imports: jsonlite, mx.api (>= 0.3.0), stats, tools, utils
Suggests: mx.crypto, simplermarkdown, tinytest
VignetteBuilder: simplermarkdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-13 13:38:32 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-06-19 15:50:07 UTC

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Package hyper.gam updated to version 0.3.2 with previous version 0.3.1 dated 2026-06-13

Title: Generalized Additive Models with Hyper Column
Description: An interactive HTML widget of the perspective plot for generalized additive models. An alternative solution of the function mgcv::vis.gam(). This R package author has retired from academic research. Accordingly, this package should not be considered a validated tool for use in peer-reviewed publications or as the basis for grant applications. Backward compatibility with user-code published in <doi:10.1093/bioinformatics/btaf182> and <doi:10.1093/bioinformatics/btaf430> is not maintained in versions >= 0.3.0 of this package. The authors of those publications are the appropriate contacts for reproducibility inquiries.
Author: Tingting Zhan [aut, cre] , Erjia Cui [ctb]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between hyper.gam versions 0.3.1 dated 2026-06-13 and 0.3.2 dated 2026-06-19

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Package APML0 readmission to version 0.11 with previous version 0.10 dated 2020-01-19

Title: Augmented and Penalized Minimization Method L0
Description: Fit linear, logistic and Cox models regularized with L0, lasso (L1), elastic-net (L1 and L2), or net (L1 and Laplacian) penalty, and their adaptive forms, such as adaptive lasso / elastic-net and net adjusting for signs of linked coefficients. It solves the L0 penalty problem by simultaneously selecting regularization parameters and performing hard-thresholding or selecting the number of non-zeros. This augmented and penalized minimization method provides an approximation solution to the L0 penalty problem, but runs as fast as L1 regularization. The package uses a one-step coordinate descent algorithm and runs extremely fast by taking into account the sparsity structure of coefficients. It can handle very high dimensional data and has superior selection performance.
Author: Xiang Li [aut, cre], Shanghong Xie [aut], Donglin Zeng [aut], Yuanjia Wang [aut]
Maintainer: Xiang Li <spiritcoke@gmail.com>

This is a re-admission after prior archival of version 0.10 dated 2020-01-19

Diff between APML0 versions 0.10 dated 2020-01-19 and 0.11 dated 2026-06-19

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 NAMESPACE                        |    3 
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Package UKFE updated to version 2.0.2 with previous version 2.0.1 dated 2026-05-01

Title: UK Flood Estimation
Description: Functions to implement the methods of the Flood Estimation Handbook (FEH), associated updates and the revitalised flood hydrograph model (ReFH). Currently the package uses NRFA peak flow dataset version 14. Aside from FEH functionality, further hydrological functions are available. Most of the methods implemented in this package are described in one or more of the following: "Flood Estimation Handbook", Centre for Ecology & Hydrology (1999, ISBN:0 948540 94 X). "Flood Estimation Handbook Supplementary Report No. 1", Kjeldsen (2007, ISBN:0 903741 15 7). "Regional Frequency Analysis - an approach based on L-moments", Hosking & Wallis (1997, ISBN: 978 0 521 01940 8). "Making better use of local data in flood frequency estimation", Environment Agency (2017, ISBN: 978 1 84911 387 8). "Sampling uncertainty of UK design flood estimation" , Hammond (2021, <doi:10.2166/nh.2021.059>). "The FEH 2025 statistical method update", UK Centre for Ecology and Hydrology (2025). "Low flow es [...truncated...]
Author: Anthony Hammond [aut, cre]
Maintainer: Anthony Hammond <agqhammond@gmail.com>

Diff between UKFE versions 2.0.1 dated 2026-05-01 and 2.0.2 dated 2026-06-19

 DESCRIPTION            |   11 ++
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New package Time.R with initial version 1.0.0
Package: Time.R
Title: Estimates Time of Concentration and Lag Time for Watersheds
Version: 1.0.0
Date: 2026-05-27
Description: Estimation of time of concentration and lag times for watersheds based on their morphometric characteristics. It includes various methods for calculation and offers plotting functionalities for comparative analysis. For more details see Bransby-Williams (1922, ISSN 2214-5818), Kirpich (1940) <https://hess.copernicus.org/articles/24/2655/2020/>, Kerby (1959, ISBN-13, 979-8355357214), Johnstone & Cross (1949, ISBN:9780823211234), California Division of Highways (1942, ISSN:0012-7353), Clark (1945) <doi:10.1061/TACEAT.0005800>, Giandotti (1934) <doi:10.1080/02626667.2017.1384549>, Passini (1972, ISBN:84-7433-040-8), Témez (1978, ISBN:84-7433-040-8), Pérez (1962, ISSN:0012-7353), Pilgrim (1977) <doi:10.1029/WR013i003p00587>, Bureau of Reclamation (1973, ISBN:9780913232123), Valencia-Zuluaga (1983) <https://repositorio.unal.edu.co/>, Ventura & Heras (1964) <doi:10.1061/9780784413548.005>, Soil Conservation Service (1972, ISBN:OL15009517M), Soil Co [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, readxl, utils
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2026-06-13 03:57:17 UTC; alobo
Author: Alonso Arriagada [aut, cre]
Maintainer: Alonso Arriagada <alonso.arriagada@usach.cl>
Repository: CRAN
Date/Publication: 2026-06-19 14:50:02 UTC

More information about Time.R at CRAN
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Package rrtable updated to version 0.3.4 with previous version 0.3.0 dated 2022-04-04

Title: Reproducible Research with a Table of R Codes
Description: Makes documents containing plots and tables from a table of R codes. Can make "HTML", "pdf('LaTex')", "docx('MS Word')" and "pptx('MS Powerpoint')" documents with or without R code. In the package, modularized 'shiny' app codes are provided. These modules are intended for reuse across applications.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

Diff between rrtable versions 0.3.0 dated 2022-04-04 and 0.3.4 dated 2026-06-19

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More information about rrtable at CRAN
Permanent link

Package pedtools updated to version 2.11.0 with previous version 2.10.0 dated 2026-02-01

Title: Creating and Working with Pedigrees and Marker Data
Description: A comprehensive collection of tools for creating, manipulating and visualising pedigrees and genetic marker data. Pedigrees can be read from text files or created on the fly with built-in functions. A range of utilities enable modifications like adding or removing individuals, breaking loops, and merging pedigrees. An online tool for creating pedigrees interactively, based on 'pedtools', is available at <https://magnusdv.shinyapps.io/quickped>. 'pedtools' is the hub of the 'pedsuite', a collection of packages for pedigree analysis. A detailed presentation of the 'pedsuite' is given in the book 'Pedigree Analysis in R' (Vigeland, 2021, ISBN:9780128244302).
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between pedtools versions 2.10.0 dated 2026-02-01 and 2.11.0 dated 2026-06-19

 DESCRIPTION                               |    8 
 MD5                                       |   95 +--
 NAMESPACE                                 |    4 
 NEWS.md                                   |   25 
 R/getMap.R                                |    6 
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 R/marker_attach.R                         |   10 
 R/marker_database.R                       |    4 
 R/marker_distribute.R                     |    6 
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 R/marker_print.R                          |    2 
 R/marker_setattr_inplace.R                |    2 
 R/marker_transfer.R                       |    4 
 R/mergePed.R                              |   10 
 R/ped.R                                   |  152 ++---
 R/ped_complex.R                           |    4 
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 R/ped_convert.R                           |    4 
 R/ped_founder-inbreeding.R                |   18 
 R/ped_internal.R                          |    8 
 R/ped_labels.R                            |   12 
 R/ped_loops.R                             |  773 +++++++++++++++++++++---------
 R/ped_methods.R                           |    2 
 R/ped_modify.R                            |   16 
 R/ped_plot.R                              |    2 
 R/ped_sex.R                               |    2 
 R/ped_subgroups.R                         |   60 ++
 R/ped_utils.R                             |  127 ++--
 R/plot_methods.R                          |    6 
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 tests/testthat/test-ped-creation.R        |   26 -
 tests/testthat/test-ped-loops.R           |   56 ++
 tests/testthat/test-ped-relatives.R       |   12 
 tests/testthat/test-ped-utils.R           |   33 +
 tests/testthat/test-ped-various.R         |    9 
 49 files changed, 1204 insertions(+), 673 deletions(-)

More information about pedtools at CRAN
Permanent link

New package simplexgof with initial version 0.1.0
Package: simplexgof
Title: Bootstrap-Calibrated Goodness-of-Fit Test for Simplex Regression
Version: 0.1.0
Date: 2026-06-12
Description: Implements the bootstrap-calibrated local-influence goodness-of-fit test for simplex regression models with constant or varying dispersion, following the local influence approach of Zhu and Zhang (2004) <doi:10.1093/biomet/91.3.579> and the simplex regression model of Barndorff-Nielsen and Jorgensen (1991) <doi:10.1016/0047-259X(91)90008-P>. The test statistic aggregates individual local-influence measures under case-weight perturbation. Because the first-order asymptotic normal calibration is severely liberal in finite samples, a parametric bootstrap calibration is provided that restores accurate size control and delivers high power against omitted covariates, neglected dispersion, and distributional misspecification. Plotting functions reproduce the figures and tables of the companion methodological paper. Computational kernels are implemented in 'C++' via 'Rcpp' and 'RcppArmadillo' for speed, and two real datasets are bundled.
License: GPL-3
URL: https://github.com/Raydonal/simplexgof, https://raydonal.github.io/simplexgof/
BugReports: https://github.com/Raydonal/simplexgof/issues
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 1.0.0), parallel, stats, graphics, grDevices
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2026-06-12 23:51:40 UTC; raydonal
Author: Raydonal Ospina [aut, cre]
Maintainer: Raydonal Ospina <raydonal@de.ufpe.br>
Repository: CRAN
Date/Publication: 2026-06-19 12:20:02 UTC

More information about simplexgof at CRAN
Permanent link

New package rotio with initial version 0.1.0
Package: rotio
Title: Pure-R 'OpenTimelineIO' Document Model
Version: 0.1.0
Date: 2026-06-12
Description: A dependency-light 'OpenTimelineIO' (OTIO) <https://github.com/AcademySoftwareFoundation/OpenTimelineIO> document layer in pure R. Provides constructors for the OTIO object model (timelines, tracks, clips, gaps, media references, rational times and time ranges), functional builders that return new objects, and readers and writers for canonical '.otio' files through 'jsonlite'. The optional 'RcppOTIO' package validates output against the real 'OpenTimelineIO' C++ library. No compiled code.
License: Apache License (== 2.0)
URL: https://github.com/cornball-ai/rotio
BugReports: https://github.com/cornball-ai/rotio/issues
Depends: R (>= 4.4.0)
Imports: jsonlite
Additional_repositories: https://cornball-ai.github.io/drat
Suggests: tinytest, RcppOTIO
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-12 22:52:19 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-06-19 12:20:09 UTC

More information about rotio at CRAN
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New package respondeR with initial version 0.1.0
Package: respondeR
Title: Imputing Responder Proportions from Continuous Outcomes
Version: 0.1.0
Description: Express meta-analyses of continuous trial outcomes in terms of responder risks, following the interpretability tutorial of Thorlund, Walter, Johnston, Furukawa and Guyatt (2011) <doi:10.1002/jrsm.46>. Given the mean change, standard deviation and sample size per arm across studies, respondeR estimates the proportion of patients who cross a minimal important difference (MID) threshold under a parametric model for the change scores, and contrasts the arms as a risk difference, risk ratio, odds ratio or number needed to treat. It provides median, unweighted-mean, weighted-mean and per-study (fixed- or random-effects) pooling, the standardized-mean-difference to odds-ratio bridge of Anzures-Cabrera, Sarpatwari and Higgins (2011) <doi:10.1002/sim.4298>, a threshold-free common-language effect size, and a point-and-click 'Shiny' application. The estimation methods were evaluated in a simulation study by Sofi-Mahmudi (2024) <https://hdl.handle.net/11375/30210>.
License: GPL-3
URL: https://github.com/choxos/respondeR, https://choxos.github.io/respondeR/
BugReports: https://github.com/choxos/respondeR/issues
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: stats
Suggests: shiny, shinydashboard, DT, testthat (>= 3.0.0), metafor, knitr, rmarkdown
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-12 18:42:12 UTC; choxos
Author: Ahmad Sofi-Mahmudi [aut, cre]
Maintainer: Ahmad Sofi-Mahmudi <a.sofimahmudi@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-19 12:10:02 UTC

More information about respondeR at CRAN
Permanent link

Package qtlcharts updated to version 0.22 with previous version 0.20 dated 2026-05-23

Title: Interactive Graphics for QTL Experiments
Description: Web-based interactive charts (using D3.js) for the analysis of experimental crosses to identify genetic loci (quantitative trait loci, QTL) contributing to variation in quantitative traits. Broman (2015) <doi:10.1534/genetics.114.172742>.
Author: Karl W Broman [aut, cre] , Michael Bostock [ctb, cph] , jQuery Foundation [cph] , jQuery contributors [ctb] , jQuery UI contributors [ctb]
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between qtlcharts versions 0.20 dated 2026-05-23 and 0.22 dated 2026-06-19

 DESCRIPTION                                               |    8 
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 NAMESPACE                                                 |    3 
 NEWS.md                                                   |   60 ++
 R/chartOpts.R                                             |   16 
 R/grav-data.R                                             |    2 
 R/iboxplot.R                                              |    6 
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More information about qtlcharts at CRAN
Permanent link

Package ecospat updated to version 4.1.4 with previous version 4.1.3 dated 2026-01-23

Title: Spatial Ecology Miscellaneous Methods
Description: Collection of R functions and data sets for the support of spatial ecology analyses with a focus on pre, core and post modelling analyses of species distribution, niche quantification and community assembly. Written by current and former members and collaborators of the ecospat group of Antoine Guisan, Department of Ecology and Evolution (DEE) and Institute of Earth Surface Dynamics (IDYST), University of Lausanne, Switzerland. Read Di Cola et al. (2016) <doi:10.1111/ecog.02671> for details.
Author: Olivier Broennimann [cre, aut, ctb], Valeria Di Cola [aut, ctb], Blaise Petitpierre [ctb], Frank Breiner [ctb], Daniel Scherrer [ctb], Manuela D`Amen [ctb], Christophe Randin [ctb], Robin Engler [ctb], Wim Hordijk [ctb], Heidi Mod [ctb], Julien Potti [...truncated...]
Maintainer: Olivier Broennimann <olivier.broennimann@unil.ch>

Diff between ecospat versions 4.1.3 dated 2026-01-23 and 4.1.4 dated 2026-06-19

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 21 files changed, 865 insertions(+), 770 deletions(-)

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Permanent link

New package DPComb with initial version 1.0
Package: DPComb
Title: Discrete p-Value Combination Tests
Version: 1.0
Depends: R (>= 3.5.0)
Description: Provides tools for performing p-value combination tests with discrete input p-values. These tests combine significance evidence derived from independent discrete statistics to test a global null hypothesis, which is defined by the specified null distribution(s) of these discrete statistics. The testing procedure involves two main steps: (1) Wasserstein Adjustment: Each component of the combination statistic is replaced by an adjusted Z statistic. This adjustment, based on the minimum Wasserstein distance, preserves the discrete nature of the original statistics while better aligning them with their counterparts under continuity. (2) Calculation of the Significance of the Combination Statistic: A continuous distribution that optimally matches the discrete distribution of the combination statistic is obtained, and the testing p-value for the global null hypothesis is computed. The first step is analogous to Lancaster's approach but is generalized based on Wasserstein optimization. The se [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: MCMCpack
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-12 15:46:00 UTC; zheyangwu
Author: Gonzalo Contador [aut, cre], Shuaichuan Feng [aut], Zheyang Wu [aut]
Maintainer: Gonzalo Contador <gonzalo.contador@usm.cl>
Repository: CRAN
Date/Publication: 2026-06-19 12:10:17 UTC

More information about DPComb at CRAN
Permanent link

New package daoh with initial version 0.1.0
Package: daoh
Title: Days Alive and Out of Hospital (DAOH) Calculation
Version: 0.1.0
Description: Calculates Days Alive and Out of Hospital (DAOH) from administrative admission/discharge/mortality data using three algorithms (nights, days, exact) and three death-handling approaches (midday, midnight, zero). Includes tools for comparing methods (Bland-Altman, ICC, reclassification), and plotting.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2 (>= 3.4.0), scales
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, irr
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/davecumin/daoh
BugReports: https://github.com/davecumin/daoh/issues
NeedsCompilation: no
Packaged: 2026-06-12 19:44:10 UTC; dcum007
Author: David Cumin [aut, cre]
Maintainer: David Cumin <d.cumin@auckland.ac.nz>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-06-19 12:20:24 UTC

More information about daoh at CRAN
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New package VCMoE with initial version 0.1.0
Package: VCMoE
Title: Varying-Coefficient Mixture-of-Experts Models
Version: 0.1.0
Description: Fits Gaussian, Binomial, and Negative-Binomial varying-coefficient mixture-of-experts models with local-linear estimation, explicit label alignment, bandwidth selection, diagnostics, bootstrap inference, analytic-style confidence bands, and coefficient-specific analytic GLRT diagnostics with optional bootstrap calibration.
License: MIT + file LICENSE
URL: https://qc-zhao.github.io/VCMoE/, https://github.com/qc-zhao/VCMoE
BugReports: https://github.com/qc-zhao/VCMoE/issues
Encoding: UTF-8
Imports: ggplot2, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-12 06:14:21 UTC; qicheng
Author: Qicheng Zhao [aut, cre]
Maintainer: Qicheng Zhao <790471666@qq.com>
Repository: CRAN
Date/Publication: 2026-06-19 11:40:02 UTC

More information about VCMoE at CRAN
Permanent link

New package SurvSPro with initial version 0.1.0
Package: SurvSPro
Title: Survival Prediction with Spatially Adjusted Protein Summaries
Version: 0.1.0
Maintainer: Seungjun Ahn <seungjun.ahn@mountsinai.org>
Description: A survival prediction framework using spatially adjusted protein summaries from spatial proteomics data, including imaging mass cytometry data. Cell-level protein intensities are modeled with spatial spline regression to estimate spatially adjusted mean expression and residual variance. Methodological details are described in Ahn et al. (2026) <doi:10.64898/2026.06.08.730964>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: dplyr, mgcv, survival, sp
Suggests: testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-11 23:54:25 UTC; seungjunahn
Author: Seungjun Ahn [cre, aut] , Eun Jeong Oh [aut] , Diddier Prada [ctb], Ali Shojaie [ctb]
Repository: CRAN
Date/Publication: 2026-06-19 11:30:07 UTC

More information about SurvSPro at CRAN
Permanent link

Package prLogistic readmission to version 2.0.2 with previous version 1.2 dated 2013-09-19

Title: Estimation of Prevalence Ratios via Logistic Regression Models
Description: Estimates adjusted prevalence ratios (PR) and their confidence intervals from logistic regression models, addressing the well-known limitation of odds ratios (OR) as approximations to PR in cross-sectional studies with common outcomes. Supports independent observations (glm()), clustered/multilevel data (glmer() from 'lme4'), longitudinal data via Generalised Estimating Equations (geeglm() from 'geepack'), and complex survey designs (svyglm() from 'survey'). Inference is available via the delta method (conditional and marginal standardisation) and via bootstrap (normal-approximation and percentile intervals). Continuous covariates are handled through user-specified or median-based reference values; flexible baseline specification allows any reference category to be chosen for factor predictors. Based on the methodology described in Amorim & Ospina (2021) <doi:10.1590/0001-3765202120190316>.
Author: Raydonal Ospina [aut, cre] , Leila D. Amorim [aut]
Maintainer: Raydonal Ospina <raydonal@de.ufpe.br>

This is a re-admission after prior archival of version 1.2 dated 2013-09-19

Diff between prLogistic versions 1.2 dated 2013-09-19 and 2.0.2 dated 2026-06-19

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New package pointcoral with initial version 0.1.0
Package: pointcoral
Title: Local Point-Count Processing for Coral Photoquadrats
Version: 0.1.0
Description: Imports Coral Point Count with Excel extensions (CPCe) point-count annotations and related exported tables, standardizes labels with a user-supplied crosswalk, creates ecological cover summaries, writes quality-control overlays, and exports machine-learning-ready point labels, image patches, sparse masks, and train/validation/test splits. The package is fully local and does not depend on third-party web platforms, user accounts, or other closed services. CPCe methods are described by Kohler and Gill (2006) "Coral Point Count with Excel extensions (CPCe): A Visual Basic program for the determination of coral and substrate coverage using random point count methodology" <doi:10.1016/j.cageo.2005.11.009>.
License: MIT + file LICENSE
URL: https://github.com/el-cordero/pointcoral
BugReports: https://github.com/el-cordero/pointcoral/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, dplyr, fs, janitor, magick, png, purrr, readr, readxl, rlang, stringr, tibble
Suggests: devtools, glue, knitr, rmarkdown, roxygen2, styler, testthat (>= 3.0.0), tidyr, writexl
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-12 10:33:53 UTC; ec
Author: Elvin Cordero [aut, cre]
Maintainer: Elvin Cordero <elvin.cordero@seamountgeo.com>
Repository: CRAN
Date/Publication: 2026-06-19 11:50:02 UTC

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New package nirs4alldatasets with initial version 0.2.0
Package: nirs4alldatasets
Title: Acquire Curated NIRS Reference Datasets ('nirs4all-datasets')
Version: 0.2.0
Description: R binding over the 'nirs4all-datasets' C 'ABI' ('n4ds_*'): resolve a dataset id from the distributable catalog index into a version-pinned download contract, fetch the canonical 'Parquet' ('Dataverse' / 'Zenodo' / 'figshare') with SHA-256 verification into a local cache, and re-verify a cached directory offline. JSON crosses the stable C 'ABI'; analysis of the data is left to the host.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: yes
SystemRequirements: Cargo (Rust toolchain), rustc
Packaged: 2026-06-12 13:41:41 UTC; runner
Author: Gregory Beurier [aut, cre]
Maintainer: Gregory Beurier <gregory.beurier@cirad.fr>
Repository: CRAN
Date/Publication: 2026-06-19 12:00:08 UTC

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New package nhscancerwaits with initial version 1.0.2
Package: nhscancerwaits
Title: NHS Cancer Waiting-Time Analysis, Benchmarking and Multilevel Modelling
Version: 1.0.2
Description: Provides tools for importing, harmonising, cleaning, analysing, benchmarking and visualising National Health Service (NHS) England Cancer Waiting Times data. The package supports national performance monitoring, provider-level benchmarking and cancer pathway comparisons through key performance indicator summaries, provider filtering, clustering analyses, mixed-effects regression models, variance decomposition, intraclass correlation coefficient estimation, adjusted provider performance estimation and sensitivity analyses. Functions are included for exploratory analysis, publication-ready visualisations and spreadsheet exports, supporting reproducible health services research, cancer services evaluation, quality improvement and assessment of waiting-time performance across healthcare organisations. Mixed-effects modelling functionality is based on Bates et al. (2015) <doi:10.18637/jss.v067.i01>. Multilevel modelling concepts and variance decomposition follow Gelman and Hill (2007, [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.2.0)
Imports: dplyr, tidyr, readr, readxl, stringr, lubridate, rlang, ggplot2, scales, lme4, broom.mixed, performance, cluster, stats, writexl
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, quarto, covr
VignetteBuilder: knitr
URL: https://github.com/zerish12/nhscancerwaits
BugReports: https://github.com/zerish12/nhscancerwaits/issues
NeedsCompilation: no
Packaged: 2026-06-12 13:55:47 UTC; muhammadzahirkhan
Author: Muhammad Zahir Khan [aut, cre]
Maintainer: Muhammad Zahir Khan <zahirstat007@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-19 12:00:14 UTC

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Package mmrm updated to version 0.3.18 with previous version 0.3.17 dated 2026-01-08

Title: Mixed Models for Repeated Measures
Description: Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuous outcomes in randomized clinical trials and beyond; see Cnaan, Laird and Slasor (1997) <doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E> for a tutorial and Mallinckrodt, Lane, Schnell, Peng and Mancuso (2008) <doi:10.1177/009286150804200402> for a review. This package implements MMRM based on the marginal linear model without random effects using Template Model Builder ('TMB') which enables fast and robust model fitting. Users can specify a variety of covariance matrices, weight observations, fit models with restricted or standard maximum likelihood inference, perform hypothesis testing with Satterthwaite or Kenward-Roger adjustment, and extract least square means estimates by using 'emmeans'.
Author: Daniel Sabanes Bove [aut, cre] , Liming Li [aut] , Julia Dedic [aut], Doug Kelkhoff [aut], Kevin Kunzmann [aut], Brian Matthew Lang [aut], Christian Stock [aut], Ya Wang [aut], Craig Gower-Page [ctb], Dan James [aut], Jonathan Sidi [aut], Daniel Leib [...truncated...]
Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove@rconis.com>

Diff between mmrm versions 0.3.17 dated 2026-01-08 and 0.3.18 dated 2026-06-19

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New package kofn with initial version 0.4.0
Package: kofn
Title: Maximum Likelihood Estimation for k-Out-of-n System Data
Version: 0.4.0
Description: Maximum likelihood estimation of component lifetime parameters from system-level observations of k-out-of-n systems. Supports exponential and Weibull component distributions under multiple observation schemes: Scheme 0 (system lifetime only), Scheme 1 (periodic inspection), and Scheme 2 (complete monitoring). Provides an EM algorithm for Weibull parallel systems and Fisher information comparison across schemes. The k-out-of-n framework unifies series (k=1) and parallel (k=m) systems as a censoring problem on component lifetimes. Conforms to the 'likelihood.model' generics and returns fitted objects compatible with 'algebraic.mle'. The data-generating process and topology infrastructure (system survival, density, signature, structure function, importance measures) are delegated to the 'dist.structure' package; 'kofn' focuses exclusively on inference for the k-out-of-n family.
License: MIT + file LICENSE
URL: https://github.com/queelius/kofn, https://queelius.github.io/kofn/
BugReports: https://github.com/queelius/kofn/issues
Depends: R (>= 4.1.0)
Imports: stats, numDeriv, likelihood.model, compositional.mle, generics, dist.structure, algebraic.dist, flexhaz (>= 0.5.2)
Suggests: algebraic.mle, maskedcauses, testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-11 11:33:51 UTC; spinoza
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>
Repository: CRAN
Date/Publication: 2026-06-19 12:00:29 UTC

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New package impala with initial version 0.1.0
Package: impala
Title: Bayesian Model Calibration
Version: 0.1.0
Description: Package provides tools for modular Bayesian model calibration. these tools allow for posterior exploration with sampling methods including tempering and adaptive Markov Chain Monte Carlo (MCMC). Allows for pooled calibration or hierarchal calibration of parameters. For more information see Francom et al., 2025 <DOI:10.1137/24M1644092>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, methods, progress, einsum,
Suggests: fdasrvf, BASS, BayesPPR, mvBayes, coda, bayesplot, gridExtra, hexbin, knitr, rmarkdown
URL: https://github.com/sandialabs/rImpala
BugReports: https://github.com/sandialabs/rImpala/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-12 14:31:34 UTC; jdtuck
Author: J. Derek Tucker [aut, cre] , Sandia National Laboratories [cph, fnd]
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>
Repository: CRAN
Date/Publication: 2026-06-19 12:00:36 UTC

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New package devkit with initial version 1.0.0
Package: devkit
Title: Practical Utilities for Package Development and Session Auditing
Version: 1.0.0
Description: Provides a comprehensive collection of practical R utilities designed to streamline the full life cycle of package development, interactive data analysis, and session management. It offers tools for package management, development workflows, debugging, data processing, and system optimization. These utilities help R developers and data scientists automate release tasks, manage and scan dependencies, audit session states, optimize memory usage, and scramble sensitive Personally Identifiable Information ('PII').
Encoding: UTF-8
License: MIT + file LICENSE
Language: en-US
Depends: R (>= 3.5.0)
Imports: tools
Suggests: testthat, devtools, roxygen2, usethis, knitr, rmarkdown, withr
VignetteBuilder: knitr
URL: https://zankrut20.github.io/devkit/, https://github.com/zankrut20/devkit
BugReports: https://github.com/zankrut20/devkit/issues
NeedsCompilation: no
Packaged: 2026-06-12 03:18:23 UTC; zankrut
Author: Zankrut Goyani [aut, cre, cph]
Maintainer: Zankrut Goyani <zankrut20@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-19 11:30:02 UTC

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Package rampage updated to version 0.2.1 with previous version 0.2.0 dated 2025-07-07

Title: Calibrated Color Ramps
Description: Value-calibrated color ramps can be useful to emphasize patterns in data from complex distributions. Colors can be tied to specific values, and the association can be expanded into full color ramps that also include the relationship between colors and values. Such ramps can be used in a variety of cases when heatmap-type plots are necessary, including the visualization of vector and raster spatial data, such as topographies.
Author: Adam T. Kocsis [cre, aut] , Deutsche Forschungsgemeinschaft [fnd], FAU GeoZentrum Nordbayern [fnd]
Maintainer: Adam T. Kocsis <adam.t.kocsis@gmail.com>

Diff between rampage versions 0.2.0 dated 2025-07-07 and 0.2.1 dated 2026-06-19

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Package GRIDCOPULA (with last version 1.1.1) was removed from CRAN

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

2026-05-06 1.1.1
2025-09-13 1.1.0
2024-04-05 1.0.1
2022-09-13 1.0.0

Permanent link
Package MLCOPULA (with last version 1.1.0) was removed from CRAN

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

2025-09-19 1.1.0
2024-10-23 1.0.1
2024-06-06 1.0.0

Permanent link
Package DrugExposureDiagnostics updated to version 1.1.8 with previous version 1.1.7 dated 2026-04-15

Title: Diagnostics for OMOP Common Data Model Drug Records
Description: Ingredient specific diagnostics for drug exposure records in the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Ger Inberg [aut, cre] , Edward Burn [aut] , Theresa Burkard [aut] , Yuchen Guo [ctb] , Marti Catala [ctb] , Mike Du [ctb] , Xintong Li [ctb] , Ross Williams [ctb] , Erasmus MC [cph]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

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Package ncar readmission to version 0.6.1 with previous version 0.6.0 dated 2026-04-24

Title: Noncompartmental Analysis for Pharmacokinetic Report
Description: Conduct a noncompartmental analysis with industrial strength. Some features are 1) CDISC SDTM terms 2) Automatic or manual slope selection 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method 5) Produce pdf, rtf, text report files. * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).
Author: Kyun-Seop Bae [aut, cre], Michael E. Schaffer [ctb, cph]
Maintainer: Kyun-Seop Bae <k@acr.kr>

This is a re-admission after prior archival of version 0.6.0 dated 2026-04-24

Diff between ncar versions 0.6.0 dated 2026-04-24 and 0.6.1 dated 2026-06-19

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Package eyeris updated to version 3.2.0 with previous version 3.1.0 dated 2026-06-05

Title: Flexible, Extensible, & Reproducible Pupillometry Preprocessing
Description: Pupillometry offers a non-invasive window into the mind and has been used extensively as a psychophysiological readout of arousal signals linked with cognitive processes like attention, stress, and emotional states [Clewett et al. (2020) <doi:10.1038/s41467-020-17851-9>; Kret & Sjak-Shie (2018) <doi:10.3758/s13428-018-1075-y>; Strauch (2024) <doi:10.1016/j.tins.2024.06.002>]. Yet, despite decades of pupillometry research, many established packages and workflows to date lack design patterns based on Findability, Accessibility, Interoperability, and Reusability (FAIR) principles [see Wilkinson et al. (2016) <doi:10.1038/sdata.2016.18>]. 'eyeris' provides a modular, performant, and extensible preprocessing framework for pupillometry data with BIDS-like organization and interactive output reports [Esteban et al. (2019) <doi:10.1038/s41592-018-0235-4>; Gorgolewski et al. (2016) <doi:10.1038/sdata.2016.44>]. Development was supported, in part, by the S [...truncated...]
Author: Shawn Schwartz [aut, cre] , Mingjian He [ctb], Haopei Yang [ctb], Alice Xue [ctb], Gustavo Santiago-Reyes [ctb]
Maintainer: Shawn Schwartz <shawn.t.schwartz@gmail.com>

Diff between eyeris versions 3.1.0 dated 2026-06-05 and 3.2.0 dated 2026-06-19

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More information about eyeris at CRAN
Permanent link

Package cartographr updated to version 0.2.5 with previous version 0.2.4 dated 2025-09-18

Title: Crafting Print-Ready Maps and Layered Visualizations
Description: Simplifying the creation of print-ready maps, this package offers a user-friendly interface derived from 'ggplot2' for handling OpenStreetMap data. It streamlines the map-making process, allowing users to focus on the story their maps tell. Transforming raw geospatial data into informative visualizations is made easy with simple features 'sf' geometries. Whether for urban planning, environmental studies, or impactful public presentations, this tool facilitates straightforward and effective map creation. Enhance the dissemination of spatial information with high-quality, narrative-driven visualizations!
Author: David Willinger [aut, cre, cph]
Maintainer: David Willinger <david.willinger@gmail.com>

Diff between cartographr versions 0.2.4 dated 2025-09-18 and 0.2.5 dated 2026-06-19

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Permanent link

Package DiscreteGapStatistic (with last version 1.1.2) was removed from CRAN

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

2025-03-05 1.1.2
2024-12-09 1.0.0
2024-10-25 0.1.0

Permanent link
Package cultevo (with last version 1.0.2) was removed from CRAN

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

2018-04-24 1.0.2

Permanent link
Package sd2R updated to version 0.2.1 with previous version 0.1.9 dated 2026-04-09

Title: Stable Diffusion Image Generation
Description: Provides Stable Diffusion image generation using the 'ggmlR' library, with no 'Python' or external API dependencies. Supports text-to-image and image-to-image generation for SD 1.x, SD 2.x, 'SDXL', Flux, and 'FLUX.2'. A single sd_generate() function handles the entire pipeline, including sampling and high-resolution output. Features multi-GPU support, a 'Shiny' GUI, and runs on CPU or 'Vulkan' GPU across Linux, macOS, and Windows.
Author: Yuri Baramykov [aut, cre] , Georgi Gerganov [ctb, cph] , leejet [ctb, cph] , stduhpf [ctb] , Green-Sky [ctb] , wbruna [ctb] , akleine [ctb] , Martin Raiber [cph] , Rich Geldreich [cph] , RAD Game Tools [cph] , Valve Software [cph] , Alex Evans [cph] [...truncated...]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

Diff between sd2R versions 0.1.9 dated 2026-04-09 and 0.2.1 dated 2026-06-19

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Permanent link

Package omock updated to version 0.7.0 with previous version 0.6.2 dated 2026-03-23

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

Diff between omock versions 0.6.2 dated 2026-03-23 and 0.7.0 dated 2026-06-19

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Package glyrepr updated to version 0.12.1 with previous version 0.12.0 dated 2026-05-14

Title: Representation for Glycan Compositions and Structures
Description: Computational representations of glycan compositions and structures, including details such as linkages, anomers, and substituents. Supports varying levels of monosaccharide specificity (e.g., "Hex" or "Gal") and ambiguous linkages. Provides robust parsing and generation of IUPAC-condensed structure strings. Optimized for vectorized operations on glycan structures, with efficient handling of duplications. As the cornerstone of the glycoverse ecosystem, this package delivers the foundational data structures that power glycomics and glycoproteomics analysis workflows.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

Diff between glyrepr versions 0.12.0 dated 2026-05-14 and 0.12.1 dated 2026-06-19

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Package duckdb updated to version 1.5.4 with previous version 1.5.2 dated 2026-04-13

Title: DBI Package for the DuckDB Database Management System
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and an R Database Interface (DBI) connector.
Author: Hannes Muehleisen [aut] , Mark Raasveldt [aut] , Kirill Mueller [cre] , Stichting DuckDB Foundation [cph], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrocher [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between duckdb versions 1.5.2 dated 2026-04-13 and 1.5.4 dated 2026-06-19

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Package cancensus updated to version 0.6.1 with previous version 0.6.0 dated 2026-04-14

Title: Access, Retrieve, and Work with Canadian Census Data and Geography
Description: Integrated, convenient, and uniform access to Canadian Census data and geography retrieved using the 'CensusMapper' API. This package produces analysis-ready tidy data frames and spatial data in multiple formats, as well as convenience functions for working with Census variables, variable hierarchies, and region selection. API keys are freely available with free registration at <https://censusmapper.ca/api>. Census data and boundary geometries are reproduced and distributed on an "as is" basis with the permission of Statistics Canada (Statistics Canada 1996; 2001; 2006; 2011; 2016; 2021).
Author: Jens von Bergmann [aut] , Dmitry Shkolnik [aut, cre] , Aaron Jacobs [aut]
Maintainer: Dmitry Shkolnik <shkolnikd@gmail.com>

Diff between cancensus versions 0.6.0 dated 2026-04-14 and 0.6.1 dated 2026-06-19

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More information about cancensus at CRAN
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Package xfun updated to version 0.59 with previous version 0.58 dated 2026-06-01

Title: Supporting Functions for Packages Maintained by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] , Wush Wu [ctb], Daijiang Li [ctb], Xianying Tan [ctb], Salim Brueggemann [ctb] , Christophe Dervieux [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between xfun versions 0.58 dated 2026-06-01 and 0.59 dated 2026-06-19

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More information about xfun at CRAN
Permanent link

Package withr updated to version 3.0.3 with previous version 3.0.2 dated 2024-10-28

Title: Run Code 'With' Temporarily Modified Global State
Description: A set of functions to run code 'with' safely and temporarily modified global state. Many of these functions were originally a part of the 'devtools' package, this provides a simple package with limited dependencies to provide access to these functions.
Author: Jim Hester [aut], Lionel Henry [aut, cre], Kirill Mueller [aut], Kevin Ushey [aut], Hadley Wickham [aut], Winston Chang [aut], Jennifer Bryan [ctb], Richard Cotton [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Lionel Henry <lionel@posit.co>

Diff between withr versions 3.0.2 dated 2024-10-28 and 3.0.3 dated 2026-06-19

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Package SAMtool updated to version 1.9.2 with previous version 1.9.1 dated 2026-01-15

Title: Stock Assessment Methods Toolkit
Description: Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform data-rich fisheries. 'SAMtool' provides a conditioning model, assessment models of varying complexity with standardized reporting, model-based management procedures, and diagnostic tools for evaluating assessments inside closed-loop simulation.
Author: Quang Huynh [aut, cre], Tom Carruthers [aut], Adrian Hordyk [aut]
Maintainer: Quang Huynh <quang@bluematterscience.com>

Diff between SAMtool versions 1.9.1 dated 2026-01-15 and 1.9.2 dated 2026-06-19

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More information about SAMtool at CRAN
Permanent link

Package RobustAFT updated to version 1.4-10 with previous version 1.4-7 dated 2023-08-21

Title: Truncated Maximum Likelihood Fit and Robust Accelerated Failure Time Regression for Gaussian and Log-Weibull Case
Description: R functions for the computation of the truncated maximum likelihood and the robust accelerated failure time regression for gaussian and log-Weibull case.
Author: Alfio Marazzi [aut], Jean-Luc Muralti [aut], Alex Randriamiharisoa [cre]
Maintainer: Alex Randriamiharisoa <exelami@gmail.com>

Diff between RobustAFT versions 1.4-7 dated 2023-08-21 and 1.4-10 dated 2026-06-19

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Permanent link

Package RcppArmadillo updated to version 15.4.0-1 with previous version 15.2.7-1 dated 2026-05-29

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library aiming towards a good balance between speed and ease of use. It provides high-level syntax and functionality deliberately similar to Matlab. It is useful for algorithm development directly in C++, or quick conversion of research code into production environments. It provides efficient classes for vectors, matrices and cubes where dense and sparse matrices are supported. Integer, floating point and complex numbers are supported. A sophisticated expression evaluator (based on template meta-programming) automatically combines several operations to increase speed and efficiency. Dynamic evaluation automatically chooses optimal code paths based on detected matrix structures. Matrix decompositions are provided through integration with LAPACK, or one of its high performance drop-in replacements (such as 'MKL' or 'OpenBLAS'). It can automatically use 'OpenMP' multi-threading (parallelisation) to speed up computationally expensive operations [...truncated...]
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , Doug Bates [aut] , Binxiang Ni [aut], Conrad Sanderson [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 15.2.7-1 dated 2026-05-29 and 15.4.0-1 dated 2026-06-19

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Package neonUtilities updated to version 4.0.0 with previous version 3.0.3 dated 2026-01-23

Title: Utilities for Working with NEON Data
Description: NEON data packages can be accessed through the NEON Data Portal <https://www.neonscience.org> or through the NEON Data API (see <https://data.neonscience.org/data-api> for documentation). Data delivered from the Data Portal are provided as monthly zip files packaged within a parent zip file, while individual files can be accessed from the API. This package provides tools that aid in discovering, downloading, and reformatting data prior to use in analyses. This includes downloading data via the API, merging data tables by type, and converting formats. For more information, see the readme file at <https://github.com/NEONScience/NEON-utilities>.
Author: Claire Lunch [aut, cre, ctb], Christine Laney [aut, ctb], Nathan Mietkiewicz [aut, ctb], Eric Sokol [aut, ctb], Kaelin Cawley [aut, ctb], NEON [aut]
Maintainer: Claire Lunch <clunch@battelleecology.org>

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Package Hmisc updated to version 5.2-6 with previous version 5.2-5 dated 2026-01-09

Title: Harrell Miscellaneous
Description: Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, simulation, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX and html code, recoding variables, caching, simplified parallel computing, encrypting and decrypting data using a safe workflow, general moving window statistical estimation, and assistance in interpreting principal component analysis.
Author: Frank E Harrell Jr [aut, cre] , Cole Beck [ctb], Charles Dupont [ctb]
Maintainer: Frank E Harrell Jr <fh@fharrell.com>

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Package graphlayouts updated to version 1.2.4 with previous version 1.2.3 dated 2026-02-21

Title: Additional Layout Algorithms for Network Visualizations
Description: Several new layout algorithms to visualize networks are provided which are not part of 'igraph'. Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>. Some more specific algorithms allow the user to emphasize hidden group structures in networks or focus on specific nodes.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

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Package emplik updated to version 1.3-3 with previous version 1.3-2 dated 2024-12-06

Title: Empirical Likelihood Ratio for Censored/Truncated Data
Description: Empirical likelihood ratio tests and confidence intervals for means/quantiles/hazards from possibly censored and/or truncated data. In particular, the empirical likelihood for the Kaplan-Meier/Nelson-Aalen estimator. Now does AFT regression too.
Author: Mai Zhou [aut, cre, cph], Yifan Yang [aut], Art Owen [aut]
Maintainer: Mai Zhou <maizhou@gmail.com>

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Thu, 18 Jun 2026

Package varGuid updated to version 0.1.5 with previous version 0.1.4 dated 2026-05-29

Title: Variance-Guided Regression Improving Upon OLS and ANOVA
Description: Fits variance-guided linear regression models that provide an alternative to ordinary least squares (OLS) for general linear-model design matrices, including ANOVA-style encodings. The methods use an iteratively reweighted least squares estimator or an iteratively reweighted lasso estimator and implement the global linear mean-variance model from the associated 2026 Statistics in Medicine article <doi:10.1002/sim.70632>. Under the assumptions in that paper, the estimator matches the homoscedastic baseline in population predictive quasi-risk when variance is constant and improves on it when the variance depends on covariates. The grouping-based nonlinear prediction extension from Section 3 is available in the development version on GitHub.
Author: Sibei Liu [aut], Min Lu [aut, cre]
Maintainer: Min Lu <luminwin@gmail.com>

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Package traumar updated to version 1.2.7 with previous version 1.2.6 dated 2026-05-07

Title: Calculate Metrics for Trauma System Performance
Description: Hospitals, hospital systems, and even trauma systems that provide care to injured patients may not be aware of robust metrics that can help gauge the efficacy of their programs in saving the lives of injured patients. 'traumar' provides robust functions driven by the academic literature to automate the calculation of relevant metrics to individuals desiring to measure the performance of their trauma center or even a trauma system. 'traumar' also provides some helper functions for the data analysis journey. Users can refer to the following publications for descriptions of the methods used in 'traumar'. TRISS methodology, including probability of survival, and the W, M, and Z Scores - Flora (1978) <doi:10.1097/00005373-197810000-00003>, Boyd et al. (1987, PMID:3106646), Llullaku et al. (2009) <doi:10.1186/1749-7922-4-2>, Singh et al. (2011) <doi:10.4103/0974-2700.86626>, Baker et al. (1974, PMID:4814394), and Champion et al. (1989) <doi:10.1097/00005373-198905000- [...truncated...]
Author: Nicolas Foss [aut, cre], Iowa Department of Health and Human Services [cph]
Maintainer: Nicolas Foss <nicolas.foss@hhs.iowa.gov>

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Package quantilogram updated to version 3.2.1 with previous version 3.1.1 dated 2024-08-27

Title: Cross-Quantilogram
Description: Estimation and inference methods for the cross-quantilogram. The cross-quantilogram is a measure of nonlinear dependence between two variables, based on either unconditional or conditional quantile functions. It can be considered an extension of the correlogram, which is a correlation function over multiple lag periods that mainly focuses on linear dependency. One can use the cross-quantilogram to detect the presence of directional predictability from one time series to another. This package provides a statistical inference method based on the stationary bootstrap. For detailed theoretical and empirical explanations, see Linton and Whang (2007) for univariate time series analysis and Han, Linton, Oka and Whang (2016) for multivariate time series analysis. The full references for these key publications are as follows: (1) Linton, O., and Whang, Y. J. (2007). The quantilogram: with an application to evaluating directional predictability. Journal of Econometrics, 141(1), 250-282 < [...truncated...]
Author: Tatsushi Oka [aut, cre], Heejon Han [ctb], Oliver Linton [ctb], Yoon-Jae Whang [ctb]
Maintainer: Tatsushi Oka <oka.econ@gmail.com>

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Package lssdoc updated to version 0.1.1 with previous version 0.1.0 dated 2026-06-15

Title: Render Multilingual Questionnaires from 'LimeSurvey' '.lss' Files
Description: Render 'LimeSurvey' '.lss' survey exports as multilingual questionnaire documents in Word ('.docx') or PDF, displaying up to four languages side by side with localized chrome in English, French, German, Spanish and Italian. Includes a rule-based automated audit that flags missing translations, forward filter references, duplicate codes, array-scale inconsistencies and orphan structural references. Designed for anyone working with a 'LimeSurvey' survey: researchers, methodologists, ethics committees, translators and reviewers. Processing is fully local: the source file is the only input and no questionnaire content is uploaded to a third-party service.
Author: Amal Tawfik [aut, cre, cph]
Maintainer: Amal Tawfik <amal.tawfik@hesav.ch>

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Package BayesianDisaggregation updated to version 0.2.1 with previous version 0.1.2 dated 2025-10-16

Title: Evidence-Based Bayesian Disaggregation of Aggregate Indices
Description: Disaggregates an observed aggregate price index into sectoral components with a Bayesian state-space model in which the aggregate enters as a genuine observation density rather than as a renormalization identity. A random-walk-with-drift transition in log space (with partial pooling on the drift and the innovation scale) and an estimable cross-sectional concentration produce posterior draws of the sectoral indices with credible intervals, suitable as multiple-imputation input for downstream dynamic models. The Hamiltonian Monte Carlo engine follows Stan (Carpenter et al., 2017) <doi:10.18637/jss.v076.i01>; model comparison uses Pareto Smoothed Importance Sampling Leave-One-Out cross-validation (Vehtari, Gelman and Gabry, 2017) <doi:10.1007/s11222-016-9696-4>. A closed-form linear-Gaussian Kalman/RTS smoother provides an exact, MCMC-free Bayesian alternative for the same aggregate evidence.
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>

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Package EmpiricalDynamics updated to version 0.1.5 with previous version 0.1.3 dated 2026-03-17

Title: Empirical Discovery of Differential Equations from Time Series Data
Description: A comprehensive toolkit for discovering differential and difference equations from empirical time series data using symbolic regression. The package implements a complete workflow from data preprocessing (including Total Variation Regularized differentiation for noisy economic data), visual exploration of dynamical structure, and symbolic equation discovery via genetic algorithms. It leverages a high-performance 'Julia' backend ('SymbolicRegression.jl') to provide industrial-grade robustness, physics-informed constraints, and rigorous out-of-sample validation. Designed for economists, physicists, and researchers studying dynamical systems from observational data.
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>

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Package finna updated to version 0.1.2 with previous version 0.1.1 dated 2025-01-22

Title: Access the 'Finna' API
Description: Provides functions to access and retrieve metadata from the 'Finna' API <https://api.finna.fi/>, which aggregates content from Finnish archives, libraries, and museums.
Author: Akewak Jeba [aut, cre] , Leo Lahti [aut]
Maintainer: Akewak Jeba <akjeba@utu.fi>

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Package dfms updated to version 1.0.1 with previous version 1.0.0 dated 2026-01-26

Title: Dynamic Factor Models
Description: Efficient estimation of Dynamic Factor Models using the Expectation Maximization (EM) algorithm or Two-Step (2S) estimation, supporting datasets with missing data and mixed-frequency nowcasting applications. Factors follow a stationary VAR process of order p. Estimation options include: running the Kalman Filter and Smoother once with PCA initial values (2S) as in Doz, Giannone and Reichlin (2011) <doi:10.1016/j.jeconom.2011.02.012>; iterated Kalman Filtering and Smoothing until EM convergence as in Doz, Giannone and Reichlin (2012) <doi:10.1162/REST_a_00225>; or the adapted EM algorithm of Banbura and Modugno (2014) <doi:10.1002/jae.2306>, allowing arbitrary missing-data patterns and monthly-quarterly mixed-frequency datasets. The implementation uses the 'Armadillo' 'C++' library and the 'collapse' package for fast estimation. A comprehensive set of methods supports interpretation and visualization, forecasting, and decomposition of the 'news' content of macroeconomi [...truncated...]
Author: Sebastian Krantz [aut, cre], Rytis Bagdziunas [aut], Santtu Tikka [rev], Eli Holmes [rev], Christian Klettner [ctb]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package bayesianOU updated to version 0.2.0 with previous version 0.1.3 dated 2025-12-19

Title: Bayesian Nonlinear Ornstein-Uhlenbeck Models with Stochastic Volatility
Description: Fits Bayesian nonlinear Ornstein-Uhlenbeck models with cubic drift, stochastic volatility, and Student-t innovations. The package implements hierarchical priors for sector-specific parameters and supports parallel MCMC sampling via 'Stan'. Model comparison is performed using Pareto Smoothed Importance Sampling Leave-One-Out (PSIS-LOO) cross-validation following Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4>. Prior specifications follow recommendations from Gelman (2006) <doi:10.1214/06-BA117A> for scale parameters.
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>

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Package bibnets updated to version 0.6.0 with previous version 0.4.4 dated 2026-05-20

Title: Importing, Constructing, and Exporting Bibliometric Networks
Description: Imports, constructs, and exports bibliometric networks from scholarly metadata. Reads 'Scopus', 'Web of Science', 'BibTeX', 'RIS', 'OpenAlex', 'Lens.org', 'Dimensions', and 'Crossref' exports. Goes beyond standard co-networks with attention-weighted networks (lead, last, proximity, circular position weights), position-aware counting (harmonic, arithmetic, geometric, golden-ratio), similarity and dissimilarity normalisations, temporal networks with fixed, sliding, and cumulative windows, disparity-filter backbone extraction, historiograph construction, and local citation scoring. Methods described in López-Pernas, Saqr & Apiola (2023) <doi:10.1007/978-3-031-25336-2_5>.
Author: Mohammed Saqr [aut, cre, cph] , Sonsoles Lopez-Pernas [aut]
Maintainer: Mohammed Saqr <saqr@saqr.me>

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New package wnpmle with initial version 0.1.2
Package: wnpmle
Title: Weighted NPMLE for Recurrent Events with a Competing Terminal Event
Version: 0.1.2
Description: Provides regression modeling and prediction for the marginal mean of recurrent events in the presence of a competing terminal event using the weighted nonparametric maximum likelihood estimator (wNPMLE) of Bellach and Kosorok (2026) <doi:10.48550/arXiv.2605.25934>. Two classes of transformation models are implemented: Box-Cox transformation models and logarithmic transformation models. These extend the proportional means model of Ghosh and Lin (2002) <doi:10.17615/pt0g-y207> and the transformation model framework of Zeng and Lin (2006) <doi:10.1093/biomet/93.3.627>. Parameter estimation is performed using automatic differentiation through the Template Model Builder (TMB) framework. Standard errors are computed using sandwich variance estimators that account for estimation of the inverse-probability censoring weights following Bellach, Kosorok, Rüschendorf and Fine (2019) <doi:10.1080/01621459.2017.1401540>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: TMB (>= 1.9.0), survival, methods, MASS, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/abellach/wnpmle
BugReports: https://github.com/abellach/wnpmle/issues
NeedsCompilation: no
Packaged: 2026-06-11 04:55:07 UTC; abell
Author: Anna Bellach [aut, cre]
Maintainer: Anna Bellach <abellach.biostat@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-18 17:10:02 UTC

More information about wnpmle at CRAN
Permanent link

New package transitiontrees with initial version 0.1.2
Package: transitiontrees
Title: Transition Trajectories and Dynamics of Variable-Length Pathways or Sequences
Version: 0.1.2
Description: Analyzes transition trajectories in event, sequence, and ordered data, focusing on how states follow one another, how far processes unfold, and where pathways branch or converge. Trajectories are modeled using variable-order prediction suffix trees (Ron, Singer, & Tishby, 1996) <doi:10.1023/A:1026490906255>, implemented in both frequency-based and prediction-based forms. The framework includes multiple pruning, validation, and smoothing techniques to ensure model robustness. Visualization options include transition trees, radial sunburst diagrams, transition heatmaps, and forward trajectory trees.
License: GPL-3
URL: https://github.com/mohsaqr/transitiontrees
BugReports: https://github.com/mohsaqr/transitiontrees/issues
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1)
Imports: ggplot2, grDevices, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, visNetwork, tna, Nestimate
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-11 10:37:17 UTC; mohammedsaqr
Author: Mohammed Saqr [aut, cre, cph], Sonsoles Lopez-Pernas [aut]
Maintainer: Mohammed Saqr <saqr@saqr.me>
Repository: CRAN
Date/Publication: 2026-06-18 17:10:08 UTC

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New package vecrep with initial version 0.1.0
Package: vecrep
Title: Compact Vector Replication
Version: 0.1.0
Description: Replicates vectors using ALTREP (Alternative Representations for R Objects), avoiding unnecessary memory allocation. When a vector is repeated many times, only a reference to the original data is stored rather than copying the full expanded replicates into memory. The expanded data is only materialised if it is modified, making repeated vectors cheap to create and pass around. This is particularly useful when working with large repeated sequences, such as replicated index vectors, simulation inputs, or repeated reference values in data pipelines.
Depends: R (>= 3.5)
License: MIT + file LICENSE
URL: https://pkg.mitchelloharawild.com/vecrep/, https://github.com/mitchelloharawild/vecrep
BugReports: https://github.com/mitchelloharawild/vecrep/issues
Encoding: UTF-8
Language: en-GB
ByteCompile: yes
Suggests: spelling, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-06-11 16:21:26 UTC; mitchell
Author: Mitchell O'Hara-Wild [aut, cre, cph] , Gabriel Becker [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Repository: CRAN
Date/Publication: 2026-06-18 16:50:02 UTC

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New package GammaFrailty with initial version 0.1.0
Package: GammaFrailty
Title: Gamma Frailty Regression Models with Multiple Baseline Distributions
Version: 0.1.0
Description: Implements univariate gamma frailty regression models for survival data with six different baseline distributions: the Arvind distribution (Pandey et al., 2024), the Lindley distribution (Lindley, 1958), the Linear Failure Rate distribution (Bain, 1974), the Power Xgamma distribution (Tyagi et al., 2022), the Modified Topp-Leone distribution (Singh et al., 2025), and the Power Failure Rate distribution (Mugdadi, 2005). The package supports uncensored (complete) and censored data (right, left, interval, and progressive censoring) with and without covariates. It provides maximum likelihood estimation, standard errors, confidence intervals, t-statistics, p-values, Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), a bootstrap approximation of the Widely Applicable Information Criterion (WAIC), k-fold cross-validation, variance inflation factors, R-squared, adjusted R-squared, Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), an ove [...truncated...]
License: GPL-3
Depends: R (>= 4.0.0)
Imports: survival, maxLik, numDeriv, MASS, stats, graphics, grDevices, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-11 18:44:25 UTC; 30017827
Author: Shikhar Tyagi [aut, cre]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-18 17:00:02 UTC

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New package craftgrn with initial version 0.1.6
Package: craftgrn
Title: Integrative Chromatin Accessibility and RNA Framework for Gene Regulatory Networks
Version: 0.1.6
Description: Provides a reproducible framework for constructing and comparing gene regulatory networks by integrating chromatin accessibility footprint scores with matched RNA expression data. It implements context-specific enhancer-gene linking, transcription factor focused network analysis, differential network analysis, and regulatory topic modeling workflows for systematic exploration of gene regulation across conditions. Methodological background is available at <doi:10.1038/s41467-020-18035-1>, <https://www.jmlr.org/papers/v3/blei03a.html>, and <doi:10.48550/arXiv.1510.08628>.
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: cli, cluster, config, data.table, dplyr, digest, future, future.apply, ggplot2, enrichR, jsonlite, LDAvis, methods, pheatmap, readr, Rcpp, tibble, tidyr, yaml
LinkingTo: Rcpp
Suggests: AnnotationDbi, arrow, EnsDb.Hsapiens.v86, EnsDb.Mmusculus.v79, fgsea, golem, ggraph, ggrepel, gtable, gridExtra, htmlwidgets, igraph, Matrix, msigdbr, parallelly, progressr, RColorBrewer, knitr, rmarkdown, rstudioapi, scales, shiny, spelling, testthat, withr
VignetteBuilder: knitr
SystemRequirements: Optional Shiny app support on Linux may require libuv headers, for example libuv1-dev, or cmake for bundled libuv builds in transitive dependencies.
Encoding: UTF-8
Language: en-US
URL: https://oncologylab.github.io/craftgrn/, https://github.com/oncologylab/craftgrn
BugReports: https://github.com/oncologylab/craftgrn/issues
NeedsCompilation: yes
Packaged: 2026-06-11 16:24:12 UTC; yl814
Author: Yaoxiang Li [aut, cre], Chunling Yi [aut]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
Repository: CRAN
Date/Publication: 2026-06-18 16:50:08 UTC

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Package cpp11bigwig updated to version 0.2.0 with previous version 0.1.3 dated 2025-12-11

Title: Read bigWig and bigBed Files
Description: Read bigWig and bigBed files using "libBigWig" <https://github.com/dpryan79/libBigWig>. Provides lightweight access to the binary bigWig and bigBed formats developed by the UCSC Genome Browser group.
Author: Jay Hesselberth [aut, cre], RNA Bioscience Initiative [fnd, cph], Devon Ryan [cph]
Maintainer: Jay Hesselberth <jay.hesselberth@gmail.com>

Diff between cpp11bigwig versions 0.1.3 dated 2025-12-11 and 0.2.0 dated 2026-06-18

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 20 files changed, 309 insertions(+), 45 deletions(-)

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New package ustats with initial version 0.1.5
Package: ustats
Title: R Interface to Python Tools for Computing Higher-Order U-Statistics
Version: 0.1.5
Description: Provides an R interface to the Python package 'u-stats' <https://pypi.org/project/u-stats/> for efficient computation of higher-order U-statistics using Einstein summation notation, implementing the methods of Chen, Zhang, and Liu (2025) <doi:10.48550/arXiv.2508.12627>. The package automatically converts R objects to 'NumPy' or 'PyTorch' tensors via 'reticulate' and supports GPU acceleration when 'PyTorch' with 'CUDA' is available. Python dependencies are declared via 'reticulate' and can be installed automatically on first use. Designed for large-scale statistical estimation where numerical stability and performance are critical.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: reticulate (>= 1.41)
SystemRequirements: Python (>= 3.11); Python packages: u-stats, numpy, torch (installed automatically on first use, or via setup_ustats())
Suggests: knitr, rmarkdown, rstudioapi, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/cxy0714/U-Statistics-R, https://pypi.org/project/u-stats/
BugReports: https://github.com/cxy0714/U-Statistics-R/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-06-11 10:19:29 UTC; thinkbook-cxy
Author: Xingyu Chen [aut, cre], Ruiqi Zhang [aut], Lin Liu [aut]
Maintainer: Xingyu Chen <xingyuchen0714@sjtu.edu.cn>
Repository: CRAN
Date/Publication: 2026-06-18 14:10:02 UTC

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New package svmf with initial version 1.0
Package: svmf
Title: The Scaled von Mises-Fisher Distribution
Version: 1.0
Date: 2026-06-11
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rfast, stats
Description: Functions to perform maximum likelihood estimation of and random value simulation from the scaled von Mises-Fisher distribution. The distribution is elliptical symmetric and can be applied to spherical and hyper-spherical data. The reference paper is Scealy J.L. and Wood A.T.A. (2019), <doi:10.1080/01621459.2019.1585249>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-06-11 13:06:51 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-06-18 14:20:02 UTC

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New package proratar with initial version 0.1.0
Package: proratar
Title: Proportional Allocation with Sum Consistency
Version: 0.1.0
Description: Provides robust functions for proportional allocation of numeric values. It guarantees sum consistency after rounding or integer truncation using one of two adjustment methods: the largest remainder method or max-value adjustment. Handles edge cases like NA weights and vector total values seamlessly.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-11 09:28:13 UTC; HOMMA
Author: Shunsuke Homma [aut, cre]
Maintainer: Shunsuke Homma <shunsuke.homma@proton.me>
Repository: CRAN
Date/Publication: 2026-06-18 14:10:07 UTC

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New package NDPalette with initial version 1.0.0
Package: NDPalette
Title: Notre Dame Color Palettes for R
Version: 1.0.0
Date: 2026-06-05
Description: Provides color palettes that approximate the University of Notre Dame brand colors, together with 'ggplot2' discrete color and fill scales. The default palette leads with six Notre Dame brand colors that read clearly on a white background and extends through seven former Notre Dame brand colors, interpolating when more colors are needed than the brand supplies. The palette is intended for statistical visualization and psychometric analysis: the white-safe ordering keeps plotted categories legible, and the near-white-to-navy ramps suit continuous quantities such as correlations and factor loadings. A colorblind-friendly ordering of the Notre Dame colors themselves (arranged so the colors stay distinguishable under simulated deuteranopia, protanopia, and tritanopia), the former colors as a standalone palette, the four near-white brand tints (plus six informal soft backgrounds) for backgrounds and sequential ramps, a reference table of every color with brand and role labels, and a palette [...truncated...]
Imports: graphics, grDevices, utils
Suggests: ggplot2 (>= 3.4.0), knitr, rmarkdown, shiny, bslib, colorspace, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.0.0)
URL: https://kenkelley.org, https://github.com/yelleKneK/NDPalette
BugReports: https://github.com/yelleKneK/NDPalette/issues
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-11 10:53:03 UTC; kkelley
Author: Ken Kelley [aut, cre]
Maintainer: Ken Kelley <kkelley@nd.edu>
Repository: CRAN
Date/Publication: 2026-06-18 14:20:22 UTC

More information about NDPalette at CRAN
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Package LMPdata updated to version 0.2.1 with previous version 0.2.0 dated 2025-01-30

Title: Easy Import of the EU Labour Market Policy Data
Description: European Commission's Labour Market Policy (LMP) database (<https://webgate.ec.europa.eu/empl/redisstat/databrowser/explore/all/lmp?lang=en&display=card&sort=category>) provides information on labour market interventions, which are government actions to help and support the unemployed and other disadvantaged groups in the transition from unemployment or inactivity to work. It covers the EU countries and Norway. This package provides functions for downloading and importing the LMP data and metadata (codelists).
Author: Aleksander Rutkowski [aut, cre]
Maintainer: Aleksander Rutkowski <alek.rutkowski@gmail.com>

Diff between LMPdata versions 0.2.0 dated 2025-01-30 and 0.2.1 dated 2026-06-18

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 README.md           |  193 ++++++++++++-------------
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 9 files changed, 459 insertions(+), 349 deletions(-)

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Package LLMTranslate updated to version 0.4.0 with previous version 0.3.0 dated 2026-01-12

Title: 'shiny' App for TRAPD/ISPOR Survey Translation with LLMs
Description: A 'shiny' application to automate forward and back survey translation with optional reconciliation using large language models (LLMs). Supports both item-by-item and batch translation modes for optimal performance and context-aware translations. Handles multi-sheet Excel files and supports OpenAI (GPT), Google Gemini, and Anthropic Claude models. Follows the TRAPD (Translation, Review, Adjudication, Pretesting, Documentation) framework and ISPOR (International Society for Pharmacoeconomics and Outcomes Research) recommendations. See Harkness et al. (2010) <doi:10.1002/9780470609927.ch7> and Wild et al. (2005) <doi:10.1111/j.1524-4733.2005.04054.x>.
Author: Jonas R. Kunst [aut, cre]
Maintainer: Jonas R. Kunst <jonas.r.kunst@bi.no>

Diff between LLMTranslate versions 0.3.0 dated 2026-01-12 and 0.4.0 dated 2026-06-18

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Package ggvfields updated to version 1.0.1 with previous version 1.0.0 dated 2025-03-15

Title: Vector Field Visualizations with 'ggplot2'
Description: A 'ggplot2' extension for visualizing vector fields in two-dimensional space. Provides flexible tools for creating vector and stream field layers, visualizing gradients and potential fields, and smoothing vector and scalar data to estimate underlying patterns.
Author: Dusty Turner [aut, cre], David Kahle [aut], Rodney X. Sturdivant [aut]
Maintainer: Dusty Turner <dusty.s.turner@gmail.com>

Diff between ggvfields versions 1.0.0 dated 2025-03-15 and 1.0.1 dated 2026-06-18

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 66 files changed, 1758 insertions(+), 1509 deletions(-)

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New package gendertext with initial version 0.1.0
Package: gendertext
Title: Detect Gendered Words in Text and Suggest Neutral Alternatives
Version: 0.1.0
Description: Identifies gendered words and phrases in text using a built in dictionary of more than two hundred gendered terms paired with gender neutral alternatives. Reports the share of gendered language in a text, lists every gendered term found together with its suggested neutral replacement, and can rewrite a text in gender neutral form. Plain text files are read with base R, while other document formats such as PDF and Word are supported through the optional 'readtext' package. The dictionary is informed by published guidance on gender inclusive language, including the United Nations guidelines <https://www.un.org/en/gender-inclusive-language/> and the European Parliament guidance on gender neutral language.
License: MIT + file LICENSE
URL: https://github.com/mashrur-ayon/gendertext
BugReports: https://github.com/mashrur-ayon/gendertext/issues
Depends: R (>= 3.5)
Suggests: knitr, readtext, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-11 14:36:06 UTC; mashr
Author: S M Mashrur Arafin Ayon [aut, cre, cph] , Rodaba Zaman Adrita [aut, dtc]
Maintainer: S M Mashrur Arafin Ayon <mashrur399@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-18 14:30:02 UTC

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Package eurodata updated to version 1.8.0 with previous version 1.7.0 dated 2023-05-06

Title: Fast and Easy Eurostat Data Import and Search
Description: Interface to Eurostat’s API (SDMX 2.1) with fast data.table-based import of data, labels, and metadata. On top of the core functionality, data search and data description/comparison functions are also provided. Use <https://github.com/alekrutkowski/eurodata_codegen> — a point-and-click app for rapid and easy generation of richly-commented R code — to import a Eurostat dataset or its subset (based on the eurodata::importData() function).
Author: Aleksander Rutkowski [aut, cre]
Maintainer: Aleksander Rutkowski <alek.rutkowski@gmail.com>

Diff between eurodata versions 1.7.0 dated 2023-05-06 and 1.8.0 dated 2026-06-18

 DESCRIPTION     |   12 ++---
 MD5             |    6 +-
 R/core_import.R |  132 ++++++++++++++++++++++++++++++++++++++++++++------------
 README.md       |    8 +--
 4 files changed, 117 insertions(+), 41 deletions(-)

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New package edr4r with initial version 0.1.0
Package: edr4r
Title: Client for the 'OGC API - Environmental Data Retrieval' Standard
Version: 0.1.0
Description: A tidy 'R' client for services implementing the 'OGC API - Environmental Data Retrieval' ('EDR') standard. It is general purpose, but most of its real-world use is against in-situ monitoring networks (stream gauges, weather stations, snow and reservoir telemetry) that expose their stations and time series as 'EDR' collections. Known working endpoints include the 'USGS waterdata OGC API' and the 'Western Water Datahub'. Provides discovery, query, and parsing helpers for the locations, items, position, area, cube, radius, trajectory, and corridor query types. Returns 'CoverageJSON' as tidy 'tibble' rows and 'GeoJSON' as 'sf' objects.
License: MIT + file LICENSE
URL: https://github.com/ksonda/edr4r
BugReports: https://github.com/ksonda/edr4r/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, httr2 (>= 1.0.0), jsonlite, purrr, rlang, tibble, vctrs
Suggests: base64enc, ggplot2, htmlwidgets, knitr, leaflet, rmarkdown, sf, svglite, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-11 14:22:22 UTC; konda
Author: Kyle Onda [aut, cre, cph]
Maintainer: Kyle Onda <konda@lincolninst.edu>
Repository: CRAN
Date/Publication: 2026-06-18 14:30:08 UTC

More information about edr4r at CRAN
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Package datadiff updated to version 0.5.0 with previous version 0.4.4 dated 2026-03-18

Title: Data Validation Based on 'YAML' Rules
Description: A comprehensive data validation package that allows comparing datasets using configurable validation rules defined in 'YAML' files. Built on top of the 'pointblank' package for robust data validation, it supports exact matching, tolerance-based numeric comparisons, text normalization, and row count validation.
Author: Vincent Guyader [cre, aut] , ThinkR [cph], Agence technique de l'information sur l'hospitalisation [spn]
Maintainer: Vincent Guyader <vincent@thinkr.fr>

Diff between datadiff versions 0.4.4 dated 2026-03-18 and 0.5.0 dated 2026-06-18

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 46 files changed, 5734 insertions(+), 5094 deletions(-)

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New package climatestatsr with initial version 0.1.2
Package: climatestatsr
Title: Statistical Tools for Climate Change Analysis
Version: 0.1.2
Date: 2026-05-21
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Description: A comprehensive collection of statistical functions for climate change research. Provides tools for temporal trend detection based on the Mann-Kendall (MK) test (Mann 1945 <doi:10.2307/1907187>; Kendall 1975, ISBN:0852641990) and Sen's slope (Sen 1968 <doi:10.2307/2285891>), spatial autocorrelation using Moran's I (Moran 1950 <doi:10.2307/2332142>), extreme value analysis using the Generalised Extreme Value (GEV) distribution and Peaks-Over-Threshold (POT) method (Coles 2001 <doi:10.1007/978-1-4471-3675-0>), standardised drought indices including the Standardised Precipitation Index (SPI; McKee et al. 1993) and the Standardised Precipitation Evapotranspiration Index (SPEI; Vicente-Serrano et al. 2010 <doi:10.1175/2009JCLI2909.1>), and formal detection-attribution methods via optimal fingerprint regression and Empirical Orthogonal Function (EOF) analysis (Allen and Tett 1999 <doi:10.1007/s003820050291>), and apparent temperature via the heat index (St [...truncated...]
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0.0)
Imports: stats, graphics, utils
Suggests: ggplot2 (>= 3.4.0), sf (>= 1.0-0), ncdf4 (>= 1.21), testthat (>= 3.0.0), knitr (>= 1.42), rmarkdown (>= 2.20)
VignetteBuilder: knitr
NeedsCompilation: no
ByteCompile: true
Packaged: 2026-06-11 12:11:32 UTC; acer
Author: Sadikul Islam [aut, cre] , Rajesh Kaushal [aut]
Repository: CRAN
Date/Publication: 2026-06-18 14:20:14 UTC

More information about climatestatsr at CRAN
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New package WinsCRT with initial version 0.1.0
Package: WinsCRT
Title: Win Statistics Inference for Cluster-Randomized Trials
Version: 0.1.0
Description: Provides estimation and inference for win statistics in cluster-randomized trials with prioritized (hierarchical) composite outcomes. Supported summaries include the win ratio, win odds, net benefit, and desirability of outcome ranking (DOOR), with variance estimation and testing procedures that account for within-cluster correlation. Methods are described in the accompanying manuscript (2026) <doi:10.48550/arXiv.2604.18341>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: Rcpp, stats
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2026-06-10 22:15:19 UTC; xi32457
Author: Xi Fang [aut, cre], Fan Li [aut]
Maintainer: Xi Fang <x.fang@yale.edu>
Repository: CRAN
Date/Publication: 2026-06-18 13:40:07 UTC

More information about WinsCRT at CRAN
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New package sdc.redistribute with initial version 0.1.0
Package: sdc.redistribute
Title: Redistribute Values Between Geographic Areas
Version: 0.1.0
Description: Estimate attribute values for one set of polygons from values measured on a different, misaligned set. Provides area-weighted areal interpolation and a dasymetric method that distributes values across a point layer (such as parcel centroids). Count (extensive) measures are total-preserving; rate (intensive) measures use area-weighted means.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: sf
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, areal, spelling, covr
URL: https://dads2busy.github.io/sdc.redistribute/, https://github.com/dads2busy/sdc.redistribute
BugReports: https://github.com/dads2busy/sdc.redistribute/issues
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-10 17:46:32 UTC; ads7fg
Author: Aaron Schroeder [aut, cre]
Maintainer: Aaron Schroeder <ads7fg@virginia.edu>
Repository: CRAN
Date/Publication: 2026-06-18 13:30:02 UTC

More information about sdc.redistribute at CRAN
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New package RankGWASK with initial version 0.1.1
Package: RankGWASK
Title: Ranked Set Sampling Genome-Wide Association Studies Toolkit
Version: 0.1.1
Description: Provides methods for genome-wide association studies (GWAS) using ranked set sampling (RSS) designs. The package includes tools for ranked set sample selection, standard and RSS-based association analyses, simulation of genotype and phenotype data, statistical comparison of RSS and simple random sampling (SRS) approaches, visualization of GWAS results, and power analysis under alternative sampling schemes.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.3.0)
Imports: qqman
NeedsCompilation: no
Packaged: 2026-06-11 05:50:40 UTC; Dr. Imtiyaz
Author: Khalid Ul Islam Rather [aut, cre]
Maintainer: Khalid Ul Islam Rather <drkhalidulislam@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-18 14:00:10 UTC

More information about RankGWASK at CRAN
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New package nonabsdid with initial version 0.3.2
Package: nonabsdid
Title: Visualize Heterogeneity-Robust Event Studies for Non-Absorbing Treatments
Version: 0.3.2
Description: Runs several heterogeneity-robust difference-in-differences (DID) event-study estimators for non-absorbing (i.e., treatment can switch on and off) binary treatments through their own packages, harmonizes their output onto a common time axis and tidy data structure, and overlays them in a single 'ggplot2' panel for visual comparison. Supported estimators include those provided by 'DIDmultiplegtDYN', 'PanelMatch', and 'fect', with an optional naive two-way fixed-effects reference series via 'fixest'. The underlying methods are respectively described in Clement de Chaisemartin and Xavier D'Haultfoeuille. "Difference-in-Differences Estimators of Intertemporal Treatment Effects." The Review of Economics and Statistics (2026) <doi:10.1162/rest_a_01414>, Kosuke Imai, In Song Kim, and Erik H. Wang. "Matching methods for causal inference with time‐series cross‐sectional data." American Journal of Political Science 67.3 (2023) <doi:10.1111/ajps.12685>, Licheng Liu, Ye Wang, and Yiqin [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, dplyr, ggplot2, rlang, stats, tibble
Suggests: DIDmultiplegtDYN, polars, PanelMatch, fect, fixest, knitr, rmarkdown, testthat (>= 3.0.0), vdiffr, withr
URL: https://github.com/takuma1102/nonabsdid
BugReports: https://github.com/takuma1102/nonabsdid/issues
VignetteBuilder: knitr
Additional_repositories: https://rpolars.r-universe.dev
NeedsCompilation: no
Packaged: 2026-06-10 23:43:04 UTC; 81809
Author: Takuma Iwasaki [aut, cre]
Maintainer: Takuma Iwasaki <iwasakit@stanford.edu>
Repository: CRAN
Date/Publication: 2026-06-18 13:50:02 UTC

More information about nonabsdid at CRAN
Permanent link

New package medfit with initial version 0.2.1
Package: medfit
Title: Infrastructure for Mediation Model Fitting and Extraction
Version: 0.2.1
Date: 2026-06-10
Description: Provides S7-based infrastructure for fitting mediation models, extracting path coefficients, and performing bootstrap inference. Designed as a foundation package for the mediation analysis ecosystem, supporting 'probmed', 'RMediation', and 'medrobust' packages. Implements unified interfaces for model fitting across different engines (currently generalized linear models, with future support for mixed models and Bayesian methods), standardized extraction of mediation paths from various model types, and robust bootstrap inference methods. Mediation inference methods are described in MacKinnon, Lockwood and Williams (2004) <doi:10.1207/s15327906mbr3901_4> and Tofighi and MacKinnon (2011) <doi:10.3758/s13428-011-0076-x>.
License: GPL (>= 3)
URL: https://data-wise.github.io/medfit/, https://github.com/data-wise/medfit
BugReports: https://github.com/data-wise/medfit/issues
Depends: R (>= 4.1.0)
Imports: S7 (>= 0.1.0), stats, methods, checkmate, generics, MASS
Suggests: lavaan (>= 0.6-0), testthat (>= 3.0.0), tibble
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-06-10 20:01:03 UTC; dt
Author: Davood Tofighi [aut, cre]
Maintainer: Davood Tofighi <dtofighi@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-18 13:40:02 UTC

More information about medfit at CRAN
Permanent link

Package kinesis updated to version 0.4.0 with previous version 0.3.1 dated 2025-09-29

Title: 'shiny' Applications for the 'tesselle' Packages
Description: A collection of 'shiny' applications for the 'tesselle' packages <https://www.tesselle.org/>. This package provides applications for archaeological data analysis and visualization. These mainly, but not exclusively, include applications for chronological modelling (e.g. matrix seriation, aoristic analysis) and count data analysis (e.g. diversity measures, compositional data analysis).
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [art] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

Diff between kinesis versions 0.3.1 dated 2025-09-29 and 0.4.0 dated 2026-06-18

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 po/R-fr.po                          |  445 ++++++++++++++++++++++++------------
 po/R-kinesis.pot                    |  432 +++++++++++++++++++++++-----------
 104 files changed, 1523 insertions(+), 1202 deletions(-)

More information about kinesis at CRAN
Permanent link

New package accuracylevel with initial version 0.1.0
Package: accuracylevel
Title: Robust Accuracy-Level Metrics for Predictive Model Evaluation
Version: 0.1.0
Author: Achmad Syahrul Choir [cre, aut], Mety Agustini [aut], Kartika Fithriasari [aut], Dedy Dwi Prastyo [aut]
Maintainer: Achmad Syahrul Choir <madsyair@stis.ac.id>
Description: Implements novel accuracy-level metrics for evaluating continuous data prediction models. Four metrics are provided: Counted Squared Error (CSE), Counted Absolute Error (CAE), Counted Absolute Percentage Error (CAPE), and Symmetric Counted Absolute Percentage Error (SCAPE). These metrics offer robust, consistent, and interpretable evaluation on a 0-100% scale, addressing limitations of conventional metrics like RMSE, MAE, and MAPE. The package integrates with 'caret', 'tidymodels', and common forecasting frameworks. Based on Agustini, Fithriasari, and Prastyo (2026) <doi:10.1016/j.dajour.2025.100661>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/madsyair/accuracylevel
BugReports: https://github.com/madsyair/accuracylevel/issues
Depends: R (>= 3.5.0)
Imports: stats, graphics, utils
Suggests: rlang (>= 0.4.0), caret, yardstick, forecast, testthat (>= 3.0.0), knitr, rmarkdown, ggplot2, tibble, dplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-10 15:53:03 UTC; madsyair
Repository: CRAN
Date/Publication: 2026-06-18 13:20:02 UTC

More information about accuracylevel at CRAN
Permanent link

Package ggseg.formats updated to version 0.0.3 with previous version 0.0.2 dated 2026-04-03

Title: Brain Atlas Data Structures for the 'ggsegverse' Ecosystem
Description: Provides the 'ggseg_atlas' S3 class used across the 'ggsegverse' ecosystem for 2D and 3D brain visualisation. Ships four bundled atlases ('Desikan-Killiany', 'FreeSurfer' 'aseg', 'TRACULA', 'SUIT') and functions for querying, subsetting, renaming, and enriching atlas objects. Also includes readers for 'FreeSurfer' statistics files.
Author: Athanasia Mo Mowinckel [aut, cre] , Center for Lifespan Changes in Brain and Cognition , University of Oslo [cph]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

Diff between ggseg.formats versions 0.0.2 dated 2026-04-03 and 0.0.3 dated 2026-06-18

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Package umweltapir updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-21

Title: Access 'umwelt.info' API
Description: Provides an R-based access to the datasets including their resources from the portal <https://umwelt.info>. The package allows for an easy integration of those datasets into your R-based workflows. The functionality of the package mirrors the web-based access as provided at <https://umwelt.info>. You can use the same queries and get the same datasets by accessing our API.
Author: Johannes Vogel [aut, cre], Maximilian Berthold [aut], Luise Quoss [ctb], Nationales Zentrum fuer Umwelt- und Naturschutzinformationen [cph]
Maintainer: Johannes Vogel <johannes.vogel@uba.de>

Diff between umweltapir versions 0.1.0 dated 2026-04-21 and 0.2.0 dated 2026-06-18

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Package twbparser updated to version 0.5.0 with previous version 0.4.0 dated 2026-04-13

Title: Parse 'Tableau' Workbooks into Tidy Data and Dependency Graphs
Description: High-performance parsing of 'Tableau' workbook files into tidy data frames and dependency graphs for other visualization tools like R 'Shiny' or 'Power BI' replication, plus an interactive 'Shiny' workbook inspector for uploaded .twb and .twbx files.
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>

Diff between twbparser versions 0.4.0 dated 2026-04-13 and 0.5.0 dated 2026-06-18

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Package mMARCH.AC readmission to version 3.3.4.3 with previous version 3.3.4.0 dated 2026-02-05

Title: Processing of Accelerometry Data with 'GGIR' in mMARCH
Description: Mobile Motor Activity Research Consortium for Health (mMARCH) is a collaborative network of studies of clinical and community samples that employ common clinical, biological, and digital mobile measures across involved studies. One of the main scientific goals of mMARCH sites is developing a better understanding of the inter-relationships between accelerometry-measured physical activity (PA), sleep (SL), and circadian rhythmicity (CR) and mental and physical health in children, adolescents, and adults. Currently, there is no consensus on a standard procedure for a data processing pipeline of raw accelerometry data, and few open-source tools to facilitate their development. The R package 'GGIR' is the most prominent open-source software package that offers great functionality and tremendous user flexibility to process raw accelerometry data. However, even with 'GGIR', processing done in a harmonized and reproducible fashion requires a non-trivial amount of expertise combined with a care [...truncated...]
Author: Wei Guo [aut, cre], Andrew Leroux [aut], Vadim Zipunnikov [aut], Kathleen Merikangas [aut]
Maintainer: Wei Guo <wei.guo3@nih.gov>

This is a re-admission after prior archival of version 3.3.4.0 dated 2026-02-05

Diff between mMARCH.AC versions 3.3.4.0 dated 2026-02-05 and 3.3.4.3 dated 2026-06-18

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Permanent link

Package metaHelper updated to version 1.0.1 with previous version 1.0.0 dated 2024-07-28

Title: Transforms Statistical Measures Commonly Used for Meta-Analysis
Description: Helps calculate statistical values commonly used in meta-analysis. It provides several methods to compute different forms of standardized mean differences, as well as other values such as standard errors and standard deviations. The methods used in this package are described in the following references: Altman D G, Bland J M. (2011) <doi:10.1136/bmj.d2090> Borenstein, M., Hedges, L.V., Higgins, J.P.T. and Rothstein, H.R. (2009) <doi:10.1002/9780470743386.ch4> Chinn S. (2000) <doi:10.1002/1097-0258(20001130)19:22%3C3127::aid-sim784%3E3.0.co;2-m> Cochrane Handbook (2011) <https://www.cochrane.org/authors/handbooks-and-manuals/handbook/archive/v5.1.0> Cooper, H., Hedges, L. V., & Valentine, J. C. (2009) <https://psycnet.apa.org/record/2009-05060-000> Cohen, J. (1977) <https://psycnet.apa.org/record/1987-98267-000> Ellis, P.D. (2009) <https://www.psychometrica.de/effect_size.html> Goulet-Pelletier, J.-C., & Cousineau, D. (2018) <doi:10.2 [...truncated...]
Author: Robert Emprechtinger [aut, cre] , Guido Schwarzer [aut] , Ulf Toelch [aut], Guenther Schreder [aut], Gerald Gartlehner [aut]
Maintainer: Robert Emprechtinger <emprechtinger@stateofhealth.at>

Diff between metaHelper versions 1.0.0 dated 2024-07-28 and 1.0.1 dated 2026-06-18

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More information about metaHelper at CRAN
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Package fastreg updated to version 0.14.1 with previous version 0.13.8 dated 2026-06-12

Title: Fast Conversion and Querying of Danish Registers with 'Parquet'
Description: Converts large Danish register files ('sas7bdat') into 'Parquet' format with year-based 'Hive' partitioning and chunked reading for larger-than-memory files. Supports parallel conversion with a 'targets' pipeline and reading those registers into 'DuckDB' tables for faster querying and analyses.
Author: Signe Kirk Broedbaek [aut, cre] , Luke Johnston [aut] , Steno Diabetes Center Aarhus [cph], Aarhus University [cph]
Maintainer: Signe Kirk Broedbaek <signekb@clin.au.dk>

Diff between fastreg versions 0.13.8 dated 2026-06-12 and 0.14.1 dated 2026-06-18

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Permanent link

New package gmsp with initial version 0.4.6
Package: gmsp
Title: Ground Motion Signal Processing
Version: 0.4.6
Description: Implements short-time Fourier transform (STFT) based processing of strong-motion time series: time-grid regularisation, STFT-window and anti-alias-resampling strategy selection, edge tapering, and frequency-domain integration and differentiation, mapping a single input (acceleration, velocity, or displacement) to a consistent triplet under a chosen analysis bandwidth. Also provides intrinsic-mode-function decomposition via empirical mode decomposition (EMD), ensemble EMD (EEMD), and variational mode decomposition (VMD) with optional band-rule filtering; elastic single-degree-of-freedom (SDOF) response spectra (pseudo-spectral acceleration, velocity, and displacement) by exact state-space integration; intensity measures including peak, root-mean-square (RMS), Arias intensity, significant-duration, cumulative absolute velocity, mean period, and the derived indices earthquake destructiveness potential (EPI) and power-of-input (PDI); and D50 and D100 horizontal response spectra. Methods: H [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://averriK.github.io/gmsp/
Depends: R (>= 4.1.0)
Imports: data.table, digest, EMD, expm, hht, jsonlite, openssl, pracma, purrr, seewave, signal, spectral, stats, stringr, utils, VMDecomp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-10 14:43:33 UTC; averrik
Author: Alejandro Verri Kozlowski [aut, cre, cph]
Maintainer: Alejandro Verri Kozlowski <averri@fi.uba.ar>
Repository: CRAN
Date/Publication: 2026-06-18 10:30:02 UTC

More information about gmsp at CRAN
Permanent link

Package eve updated to version 1.1 with previous version 1.0 dated 2025-11-11

Title: The Eigenvalues Entropy as a Classifier Evaluation Measure
Description: The confusion matrix (CM) is used to get a classifier's evaluation measure in order to select a method among many. A stochastic matrix and its transformation are computed from the CM. The eigenvalues of the transformed symmetric matrix are used to get an entropy which appears to be a good evaluation measure. Many other measures, commonly used, are provided for comparison purpose.
Author: Doulaye Dembele [aut, cre]
Maintainer: Doulaye Dembele <doulaye@igbmc.fr>

Diff between eve versions 1.0 dated 2025-11-11 and 1.1 dated 2026-06-18

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Package easyRaschBayes updated to version 0.3.0 with previous version 0.2.0.1 dated 2026-04-23

Title: Bayesian Rasch Analysis Using 'brms'
Description: Reproduces classic Rasch psychometric analysis features using Bayesian item response theory models fitted with 'brms' following Bürkner (2021) <doi:10.18637/jss.v100.i05> and Bürkner (2020) <doi:10.3390/jintelligence8010005>. Supports both dichotomous and polytomous Rasch models. Features include posterior predictive item fit, conditional infit, item-restscore associations, person fit, differential item functioning, local dependence assessment via Q3 residual correlations, dimensionality assessment with residual principal components analysis, person-item targeting plots, item category probability curves, and reliability using relative measurement uncertainty following Bignardi et al. (2025) <doi:10.31234/osf.io/h54k8_v1>.
Author: Magnus Johansson [aut, cre] , Giacomo Bignardi [ctb] , Kristoffer Magnusson [ctb]
Maintainer: Magnus Johansson <pgmj@pm.me>

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Permanent link

New package cairovolt with initial version 1.0.0
Package: cairovolt
Title: E-Commerce Charging & Audio Equipment Analysis Utilities
Version: 1.0.0
Author: Abdullah Cairovolt [aut, cre]
Maintainer: Abdullah Cairovolt <abdullahcairovolt@gmail.com>
Packaged: 2026-06-10 13:10:00 UTC; amf0930
Description: Standard metrics converter and comparator for consumer electronics. Provides utility functions for converting battery capacity (mAh to Wh), comparing wall charger output times, and validating product specifications using standard formulas. Includes a sample dataset of electronic accessories compiled from CairoVolt's catalog.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://cairovolt.com/en/
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2026-06-18 10:10:02 UTC

More information about cairovolt at CRAN
Permanent link

New package actibase with initial version 0.2.0
Package: actibase
Title: Baseline Functions for Actigraphy and Activity Processing and Analysis
Version: 0.2.0
Description: Provides baseline functions for actigraphy and activity data. This package is intended to be extended by downstream overlays such as 'actiread', 'actimetrics', and 'stepcount'.
License: GPL-3
Depends: R (>= 4.1.0)
Suggests: testthat, utils, covr, knitr, readr
Encoding: UTF-8
LazyData: true
Imports: magrittr, dplyr, lubridate, hms, tidyr, janitor, assertthat, vctrs
URL: https://github.com/jhuwit/actibase, https://jhuwit.github.io/actibase/
BugReports: https://github.com/jhuwit/actibase/issues
NeedsCompilation: no
Packaged: 2026-06-10 12:58:37 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-18 10:10:06 UTC

More information about actibase at CRAN
Permanent link

Package SurrogateRank updated to version 3.0 with previous version 2.2 dated 2026-01-07

Title: Rank-Based Test to Evaluate a Surrogate Marker
Description: Uses a novel rank-based nonparametric approach to evaluate a surrogate marker in a small sample size setting. Details are described in Parast et al (2024) <doi:10.1093/biomtc/ujad035>, in Hughes A et al (2025) <doi:10.1002/sim.70241>, and in Hughes A et al (2026) <doi:10.48550/arXiv.2605.03819>. A tutorial for this package can be found at <https://www.laylaparast.com/surrogaterank> and a Shiny App implementing the package can be found at <https://parastlab.shinyapps.io/SurrogateRankApp/>.
Author: Layla Parast [aut, cre], Arthur Hughes [aut]
Maintainer: Layla Parast <parast@austin.utexas.edu>

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More information about SurrogateRank at CRAN
Permanent link

Package ProduceR updated to version 1.3 with previous version 1.2 dated 2026-05-19

Title: Concise and Efficient Tools for Everyday Statistical Production
Description: A set of concise and efficient tools for statistical production. Can also be used for data management. In statistical production, you deal with complex data and need to control your process at each step of your work. Concise functions are very helpful, because you do not hesitate to use them. The following functions are included in the package. 'dup' checks duplicates. 'miss' checks missing values. 'tac' computes contingency table of all columns. 'toc' compares two tables, spotting significant deviations. 'chi2_find' compares columns within a data.frame, spotting related categories of (a more complex function).
Author: Vincent Reduron [cre, aut]
Maintainer: Vincent Reduron <vincent.reduron@laposte.net>

Diff between ProduceR versions 1.2 dated 2026-05-19 and 1.3 dated 2026-06-18

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More information about ProduceR at CRAN
Permanent link

New package fable.intermittent with initial version 0.1.0
Package: fable.intermittent
Title: Forecasting Models for Intermittent Time Series
Version: 0.1.0
Description: Extends the 'fable' framework to support forecasting methods specifically designed for intermittent time series data, where demand occurs sporadically with many zero values. All methods produce probabilistic forecasts returned as 'distributional' objects. The returned forecasts can be used to evaluate accuracy, plot and print the results seamlessly with 'fable'. The methods include: Harvey, Fernandes (1989) <doi:10.1080/07350015.1989.10509750>, Willemain, Smart, Schwarz (2004) <doi:10.1016/S0169-2070(03)00013-X>, Zhou, Viswanathan (2011) <doi:10.1016/j.ijpe.2010.09.021>, Snyder, Ord, Beaumont (2012) <doi:10.1016/j.ijforecast.2011.03.009>, Kolassa (2016) <doi:10.1016/j.ijforecast.2015.12.004>, Hasni, Aguir, Babai, Jemai (2019) <doi:10.1080/00207543.2018.1424375>, Damato, Azzimonti, Corani (2025) <doi:10.1016/j.ijforecast.2025.10.001>, Sbrana (2025) <doi:10.1080/01605682.2025.2569661>.
License: LGPL (>= 3)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 4.1.0), fabletools (>= 0.6.0)
Imports: tsibble (>= 1.0.0), distributional (>= 0.3.0), nloptr (>= 2.0.0), rlang (>= 1.0.0), Rcpp (>= 1.0.0)
Suggests: dplyr, testthat (>= 3.3.0), tweedie, ggtime, ggplot2, tibble, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/StefanoDamato/fable.intermittent
BugReports: https://github.com/StefanoDamato/fable.intermittent/issues
NeedsCompilation: yes
Packaged: 2026-06-09 07:19:12 UTC; stefano.damato
Author: Stefano Damato [aut, cre, cph] , Lorenzo Zambon [aut] , Dario Azzimonti [aut]
Maintainer: Stefano Damato <stefanodamato128@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-18 10:00:02 UTC

More information about fable.intermittent at CRAN
Permanent link

Package ecotraj updated to version 1.2.2 with previous version 1.2.0 dated 2025-11-11

Title: Ecological Trajectory Analysis
Description: Analysis of temporal changes (i.e. dynamics) of ecological entities, defined as trajectories on a chosen multivariate space, by providing a set of trajectory metrics and visual representations [De Caceres et al. (2019) <doi:10.1002/ecm.1350>; and Sturbois et al. (2021) <doi:10.1016/j.ecolmodel.2020.109400>; Djeghri et al. (2026a) <doi:10.1002/ecm.70058>; Djeghri et al. (2026b) <doi:10.24072/pcjournal.736>]. Includes functions to estimate metrics for individual trajectories (length, directionality, angles, ...) as well as metrics to relate pairs of trajectories (dissimilarity and convergence). Functions are also provided to estimate the ecological quality of ecosystem with respect to reference conditions [Sturbois et al. (2023) <doi:10.1002/ecs2.4726>].
Author: Miquel De Caceres [aut, cre] , Nicolas Djeghri [aut] , Anthony Sturbois [aut] , Javier De la Casa [ctb]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

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More information about ecotraj at CRAN
Permanent link

Package Rpolyhedra readmission to version 0.6.0 with previous version 0.5.6 dated 2024-11-06

Title: Polyhedra Database
Description: A polyhedra database scraped from various sources as R6 objects and 'rgl' visualizing capabilities.
Author: Alejandro Baranek [aut, com, cre, cph], Leonardo Belen [aut, com, cph], qbotics [cph], Barret Schloerke [rev], Lijia Yu [rev]
Maintainer: Alejandro Baranek <abaranek@dc.uba.ar>

This is a re-admission after prior archival of version 0.5.6 dated 2024-11-06

Diff between Rpolyhedra versions 0.5.6 dated 2024-11-06 and 0.6.0 dated 2026-06-18

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Package rolog readmission to version 0.9.27 with previous version 0.9.26 dated 2026-04-21

Title: Query 'SWI'-'Prolog' from R
Description: This R package connects to SWI-Prolog, <https://www.swi-prolog.org/>, so that R can send deterministic and non-deterministic queries to prolog (consult, query/submit, once, findall).
Author: Matthias Gondan [aut, com, cre] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

This is a re-admission after prior archival of version 0.9.26 dated 2026-04-21

Diff between rolog versions 0.9.26 dated 2026-04-21 and 0.9.27 dated 2026-06-18

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Package nycOpenData readmission to version 0.2.2 with previous version 0.2.1 dated 2026-04-11

Title: A Lightweight Interface to NYC Open Data APIs
Description: Provides a unified set of helper functions to access datasets from the NYC Open Data platform <https://opendata.cityofnewyork.us/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API. The package includes endpoints for 311 service requests, DOB job applications, juvenile justice metrics, school safety, environmental data, event permitting, and additional citywide datasets.
Author: Christian Martinez [aut, cre] , Crystal Adote [ctb] , Jonah Dratfield [ctb] , Joyce Escatel-Flores [ctb] , Rob Hutto [ctb] , Isley Jean-Pierre [ctb] , Shannon Joyce [ctb] , Laura Rose-Werner [ctb] , Emma Tupone [ctb] , Xinru Wang [ctb]
Maintainer: Christian Martinez <c.martinez0@outlook.com>

This is a re-admission after prior archival of version 0.2.1 dated 2026-04-11

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Package LitFetchR updated to version 1.0.0 with previous version 0.2.2 dated 2026-04-14

Title: Automatically Fetching References Metadata from Literature Databases
Description: Provides functions to automatically retrieve and deduplicate reference metadata based on saved search strings. Access to Web of Science and Scopus requires personal API keys, while PubMed can be queried without one. The optional deduplication functionality requires the package 'ASySD' available from <https://github.com/camaradesuk/ASySD>.
Author: Thomas Dumond [cre, aut, cph] , Charles Caraguel [ctb] , Torben Nielsen [ctb]
Maintainer: Thomas Dumond <thomas.dumond@adelaide.edu.au>

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Package VARshrink updated to version 0.5.0 with previous version 0.3.3 dated 2026-01-09

Title: Shrinkage Estimation Methods for Vector Autoregressive Models
Description: Vector autoregressive (VAR) model is a fundamental and effective approach for multivariate time series analysis. Shrinkage estimation methods can be applied to high-dimensional VAR models with dimensionality greater than the number of observations, contrary to the standard ordinary least squares method. This package is an integrative package delivering nonparametric, parametric, and semiparametric methods in a unified and consistent manner, such as the multivariate ridge regression in Golub, Heath, and Wahba (1979) <doi:10.2307/1268518>, a James-Stein type nonparametric shrinkage method in Opgen-Rhein and Strimmer (2007) <doi:10.1186/1471-2105-8-S2-S3>, and Bayesian estimation methods using noninformative and informative priors in Lee, Choi, and S.-H. Kim (2016) <doi:10.1016/j.csda.2016.03.007> and Ni and Sun (2005) <doi:10.1198/073500104000000622>.
Author: Namgil Lee [aut, cre, cph] , Heon Young Yang [ctb], Sung-Ho Kim [aut, cph]
Maintainer: Namgil Lee <namgil.lee@kangwon.ac.kr>

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Package MAIHDA updated to version 0.1.11 with previous version 0.1.8 dated 2026-05-16

Title: Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy
Description: Provides a comprehensive toolkit for conducting Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA). Methods are described in Merlo (2018) <doi:10.1016/j.socscimed.2017.12.026> and Evans et al. (2018) <doi:10.1016/j.socscimed.2017.11.011>. Automatically generates intersectional strata, fits analytical models, extracts statistics, and produces visualizations.
Author: Hamid Bulut [aut, cre]
Maintainer: Hamid Bulut <me@hamidbulut.com>

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Package dqcheckr updated to version 0.2.2 with previous version 0.2.1 dated 2026-06-08

Title: Automated Data Quality Checks for Recurring Dataset Deliveries
Description: Automates quality verification of recurring external dataset deliveries. For each new file arrival, it runs single-snapshot quality checks, compares the file to the previous delivery, writes a self-contained 'HTML' report, and records summary statistics in a local 'SQLite' database for long-term trend tracking. Supports 'CSV' and fixed-width formats. Custom organisation-specific checks can be supplied as plain R files.
Author: Mick Mioduszewski [aut, cre]
Maintainer: Mick Mioduszewski <mick@mioduszewski.net>

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Package MultiATSM updated to version 1.5.1-2 with previous version 1.5.1-1 dated 2026-02-26

Title: Multicountry Term Structure of Interest Rates Models
Description: Package for estimating, analyzing, and forecasting multi-country macro-finance affine term structure models (ATSMs). All setups build on the single-country unspanned macroeconomic risk framework from Joslin, Priebsch, and Singleton (2014, JF) <doi:10.1111/jofi.12131>. Multicountry extensions by Jotikasthira, Le, and Lundblad (2015, JFE) <doi:10.1016/j.jfineco.2014.09.004>, Candelon and Moura (2023, EM) <doi:10.1016/j.econmod.2023.106453>, and Candelon and Moura (2024, JFEC) <doi:10.1093/jjfinec/nbae008> are also available. The package also provides tools for bias correction as in Bauer Rudebusch and Wu (2012, JBES) <doi:10.1080/07350015.2012.693855>, bootstrap analysis, and several graphical/numerical outputs.
Author: Rubens Moura [aut, cre]
Maintainer: Rubens Moura <rubens.gtmoura@gmail.com>

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Package GPArotation updated to version 2026.6-1 with previous version 2026.4-1 dated 2026-04-29

Title: Gradient Projection Factor Rotation
Description: Gradient projection algorithms for orthogonal and oblique rotation of factor loadings matrices in factor analysis. Implements a comprehensive set of rotation criteria including quartimax, quartimin, oblimin, geomin, simplimax, the Crawford-Ferguson family, and target rotation, among others. Supports multiple random starts. For details see Bernaards and Jennrich (2005) <doi:10.1177/0013164404272507>.
Author: Coen Bernaards [aut, cre], Paul Gilbert [aut], Robert Jennrich [aut]
Maintainer: Coen Bernaards <cab.gparotation@gmail.com>

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Package testit updated to version 1.1 with previous version 1.0 dated 2026-05-13

Title: A Simple Package for Testing R Packages
Description: A minimal, dependency-free testing framework for R packages. Write tests as simple R expressions that return TRUE, using assert() for assertions (with informative error messages on failure), has_error() / has_warning() / has_message() for testing conditions, and test_pkg() to run all tests with full access to internal (non-exported) package functions. Snapshot testing via Markdown files is also supported.
Author: Yihui Xie [aut, cre] , Tomas Kalibera [ctb], Steven Mortimer [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package qwraps2 updated to version 0.6.3 with previous version 0.6.2 dated 2026-02-28

Title: Quick Wraps 2
Description: A collection of (wrapper) functions the creator found useful for quickly placing data summaries and formatted regression results into '.Rnw' or '.Rmd' files. Functions for generating commonly used graphics, such as receiver operating curves or Bland-Altman plots, are also provided by 'qwraps2'. 'qwraps2' is an updated version of a package 'qwraps'. The original version 'qwraps' was never submitted to CRAN but can be found at <https://github.com/dewittpe/qwraps/>. The implementation and limited scope of the functions within 'qwraps2' <https://github.com/dewittpe/qwraps2/> is fundamentally different from 'qwraps'.
Author: Peter DeWitt [aut, cre] , Tell Bennett [ctb]
Maintainer: Peter DeWitt <dewittpe@gmail.com>

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Package JWileymisc updated to version 1.4.5 with previous version 1.4.4 dated 2025-09-06

Title: Miscellaneous Utilities and Functions
Description: Miscellaneous tools and functions, including: generate descriptive statistics tables, format output, visualize relations among variables or check distributions, and generic functions for residual and model diagnostics.
Author: Joshua F. Wiley [aut, cre]
Maintainer: Joshua F. Wiley <jwiley.psych@gmail.com>

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Package IRISSeismic updated to version 1.9.0 with previous version 1.8.0 dated 2026-03-19

Title: Classes and Methods for Seismic Data Analysis
Description: Provides classes and methods for seismic data analysis. The base classes and methods are inspired by the python code found in the 'ObsPy' python toolbox <https://github.com/obspy/obspy>. Additional classes and methods support data returned by web services provided by the EarthScope Consortium. <https://service.earthscope.org/>.
Author: Jonathan Callahan [aut], Rob Casey [aut], Gillian Sharer [aut, cre], Mary Templeton [aut], Chad Trabant [ctb]
Maintainer: Gillian Sharer <gillian.sharer@earthscope.org>

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Package ergMargins updated to version 1.6.2 with previous version 1.6.1 dated 2025-09-13

Title: Process Analysis for Exponential Random Graph Models
Description: Calculates marginal effects and conducts process analysis in exponential family random graph models (ERGM). Includes functions to conduct mediation and moderation analyses and to diagnose multicollinearity. URL: <https://github.com/sduxbury/ergMargins>. BugReports: <https://github.com/sduxbury/ergMargins/issues>. Duxbury, Scott W (2021) <doi:10.1177/0049124120986178>. Long, J. Scott, and Sarah Mustillo (2018) <doi:10.1177/0049124118799374>. Mize, Trenton D. (2019) <doi:10.15195/v6.a4>. Karlson, Kristian Bernt, Anders Holm, and Richard Breen (2012) <doi:10.1177/0081175012444861>. Duxbury, Scott W (2018) <doi:10.1177/0049124118782543>. Duxbury, Scott W, Jenna Wertsching (2023) <doi:10.1016/j.socnet.2023.02.003>. Huang, Peng, Carter Butts (2023) <doi:10.1016/j.socnet.2023.07.001>.
Author: Scott Duxbury [aut, cre, cph]
Maintainer: Scott Duxbury <duxbury@email.unc.edu>

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Package DrugUtilisation updated to version 1.2.0 with previous version 1.1.0 dated 2026-01-28

Title: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model
Description: Summarise patient-level drug utilisation cohorts using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. New users and prevalent users cohorts can be generated and their characteristics, indication and drug use summarised.
Author: Marti Catala [aut, cre] , Mike Du [ctb] , Yuchen Guo [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Xintong Li [ctb] , Marta Alcalde-Herraiz [ctb] , Nuria Mercade-Besora [aut] , Xihang Chen [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

Diff between DrugUtilisation versions 1.1.0 dated 2026-01-28 and 1.2.0 dated 2026-06-18

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Package ojsr (with last version 0.1.5) was removed from CRAN

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

2024-11-13 0.1.5
2020-09-23 0.1.2
2020-07-01 0.1.1
2020-04-24 0.1.0

Permanent link

Wed, 17 Jun 2026

Package SeuratExplorer updated to version 0.1.6 with previous version 0.1.4 dated 2026-03-30

Title: An 'Shiny' App for Exploring scRNA-seq Data Processed in 'Seurat'
Description: A simple, one-command package which runs an interactive dashboard capable of common visualizations for single cell RNA-seq. 'SeuratExplorer' requires a processed 'Seurat' object, which is saved as 'rds' or 'qs2' file.
Author: Yongchao Zhang [aut, cre]
Maintainer: Yongchao Zhang <zhangyongchao@nibs.ac.cn>

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Package Spower updated to version 0.6.4 with previous version 0.6.3 dated 2026-05-21

Title: Power Analyses using Monte Carlo Simulations
Description: Provides a general purpose simulation-based power analysis API for routine and customized simulation experimental designs. The package focuses exclusively on Monte Carlo simulation experiment variants of (expected) prospective power analyses, criterion analyses, compromise analyses, sensitivity analyses, and a priori/post-hoc analyses. The default simulation experiment functions defined within the package provide stochastic variants of the power analysis subroutines in G*Power 3.1 (Faul, Erdfelder, Buchner, and Lang, 2009) <doi:10.3758/brm.41.4.1149>, along with various other parametric and non-parametric power analysis applications (e.g., mediation analyses) and support for Bayesian power analysis by way of Bayes factors or posterior probability evaluations. Additional functions for building empirical power curves, reanalyzing simulation information, and for increasing the precision of the resulting power estimates are also included, each of which utilize similar API structures. [...truncated...]
Author: Phil Chalmers [aut, cre]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package REDCapExporter updated to version 0.3.5 with previous version 0.3.4 dated 2026-03-09

Title: Automated Construction of R Data Packages from REDCap Projects
Description: Export all data, including metadata, from a REDCap (Research Electronic Data Capture) Project via the REDCap API <https://projectredcap.org/wp-content/resources/REDCapTechnicalOverview.pdf>. The exported (meta)data will be processed and formatted into a stand-alone R data package which can be installed and shared between researchers. Several default reports are generated as vignettes in the resulting package.
Author: Peter DeWitt [aut, cre]
Maintainer: Peter DeWitt <peter.dewitt@cuanschutz.edu>

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Package Uno updated to version 2.7.4 with previous version 2.7.3-1 dated 2026-06-11

Title: R Interface to the 'Uno' Nonlinear Optimization Solver
Description: Bindings to 'Uno' (Unifying Nonlinear Optimization), a C++ solver for smooth nonlinearly constrained optimization. 'Uno' unifies Lagrange-Newton methods, including sequential quadratic programming and interior-point methods, by decomposing them into interacting building blocks (constraint-relaxation, inequality-handling, Hessian, and globalization strategies) that can be freely combined, either through options or through presets that reproduce established solvers such as 'filterSQP' and 'IPOPT'. The framework is described in Vanaret and Leyffer (2024) <doi:10.48550/arXiv.2406.13454>.
Author: Balasubramanian Narasimhan [aut, cre], Charlie Vanaret [aut, cph] , Sven Leyffer [aut, cph] , HiGHS development team [cph] ; see inst/COPYRIGHTS)
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

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Package ig.degree.betweenness updated to version 0.2.1 with previous version 0.2.0 dated 2025-06-24

Title: "Node+Edge Betweenness Community Detection Algorithm for 'igraph' Objects"
Description: Implements the "Node + Edge Betweenness" community detection algorithm for network analysis using 'igraph' objects. This algorithm combines node degree and betweenness centrality measures to identify communities within networks, with a gradient evident in social partitioning. The package provides functions for implementation of the algorithm, visualization, and analysis of the resulting community structure along with the original dataset used in the publication. Methods are based on results from Smith, Pittman and Xu (2026) <doi:10.1002/cjs.70060>.
Author: Benjamin Smith [aut, cre] , Tyler Pittman [aut] , Wei Xu [aut]
Maintainer: Benjamin Smith <benyamin.smith@mail.utoronto.ca>

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Package GLBFP updated to version 0.5.2 with previous version 0.5.1 dated 2026-06-16

Title: General Linear Blend Frequency Polygon Density Estimation
Description: Implements nonparametric density estimation with Averaged Shifted Histogram (ASH), Linear Blend Frequency Polygon (LBFP), and General Linear Blend Frequency Polygon (GLBFP) estimators. The package provides pointwise and grid-based estimation workflows, sparse-prefix grid-count computation, plotting helpers, and plug-in bandwidth selection. Methodological background follows Scott (1992) <doi:10.1002/9780470316849>, Terrell and Scott (1985) <doi:10.1080/01621459.1985.10477163>, and Carbon and Duchesne (2024) <doi:10.1007/s10463-023-00883-5>.
Author: Aurelien Nicosia [aut, cre], Thierry Duchesne [aut], Michel Carbon [aut]
Maintainer: Aurelien Nicosia <aurelien.nicosia@mat.ulaval.ca>

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Package ebrahim.gof updated to version 2.1.0 with previous version 2.0.0 dated 2026-06-12

Title: Ebrahim-Farrington Goodness-of-Fit Test for Logistic Regression
Description: Implements the Ebrahim-Farrington goodness-of-fit test for logistic regression models, particularly effective for sparse data and binary outcomes. This test provides an improved alternative to the traditional Hosmer-Lemeshow test by using a modified Pearson chi-square statistic with data-dependent grouping. The test is based on Farrington (1996) theoretical framework but simplified for practical implementation with binary data. Includes functions for both the original Farrington test (for grouped data) and the new Ebrahim-Farrington test (for binary data with automatic grouping), the Directed Ebrahim-Farrington (DEF) test that targets calibration-shape departures, and an ensemble that combines the DEF bases via the Cauchy combination test. Also provides 'run.all.gof()', which runs a battery of classical and modern goodness-of-fit and calibration tests (including McCullagh, Osius-Rojek, le Cessie-van Houwelingen, Stute-Zhu, and the GiViTI calibration test) in one call. For more details [...truncated...]
Author: Ebrahim Khaled Ebrahim [aut, cre]
Maintainer: Ebrahim Khaled Ebrahim <ebrahimkhaled@alexu.edu.eg>

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Package dbplyr updated to version 2.6.0 with previous version 2.5.2 dated 2026-02-13

Title: A 'dplyr' Back End for Databases
Description: A 'dplyr' back end for databases that allows you to work with remote database tables as if they are in-memory data frames. Basic features work with any database that has a 'DBI' back end; more advanced features require 'SQL' translation to be provided by the package author.
Author: Hadley Wickham [aut, cre], Maximilian Girlich [aut], Edgar Ruiz [aut], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package AdmixPoly updated to version 1.0.1 with previous version 1.0.0 dated 2026-06-08

Title: Global and Local Admixture Inference in Polyploids
Description: Provides functions to perform global (genome-wide) and local admixture inference from bi- and multi-allelic marker dosages (discrete or continuous) in polyploid species.
Author: Simon Rio [aut, cre] , Tristan Mary-Huard [aut] , Franck Gauthier [aut]
Maintainer: Simon Rio <simon.rio@cirad.fr>

Diff between AdmixPoly versions 1.0.0 dated 2026-06-08 and 1.0.1 dated 2026-06-17

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More information about AdmixPoly at CRAN
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Package ordPanel updated to version 0.1.2 with previous version 0.1.1 dated 2026-03-19

Title: Ordered Panel
Description: The ordered panel methodology (Zezulinski et al 2025 <doi:10.1159/000545366>) provides a structured framework for identifying and organizing sets of biomarkers, such as genetic variants, that distinguish between positive and negative subjects in a study when only a training cohort is available. This approach is particularly useful in situations where an independent validation cohort does not yet exist, rendering conventional performance metrics such as the receiver operating characteristic (ROC) curve and area under the ROC curve (AUC) inappropriate or potentially misleading. The methodology emphasizes transparent construction and evaluation of ordered signatures of biomarkers, allowing investigators to examine operating characteristics without establishing predictive performance.
Author: Tingting Zhan [aut, cre] , Aejaz Sayeed [dtc]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between ordPanel versions 0.1.1 dated 2026-03-19 and 0.1.2 dated 2026-06-17

 DESCRIPTION             |   20 +++++++++++---------
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Package AntClassify updated to version 0.2.2 with previous version 0.2.1 dated 2026-05-07

Title: Functional Guilds, Invasion Status, Endemism, and Rarity of Ants
Description: Provides functions for the analysis of ant communities, aiming to standardize workflows in myrmecology. The package automates the assignment of species to functional guilds based on trophic strategies, feeding habits, and foraging behavior, using established classification frameworks (Silva et al., 2015 <doi:10.7476/9788574554419>; Silvestre et al., 2003 <isbn:9588151236>; Delabie et al., 2000 <https://www.researchgate.net/publication/44961742_Sampling_Ground-Dwelling_Ants_Case_Studies_from_the_World%27s_Rain_Forests>), and also includes a novel classification system implemented within the package, developed from ant species occurring in urban environments. It also includes routines to flag exotic species of Brazil (Vieira, 2025, unpublished master's thesis), identify endemic species (Silva et al., 2025 <doi:10.37885/250920259>), and classify species rarity and rarity forms of the Atlantic Forest (Silva et al., 2024 <doi:10.1016/j.biocon.2024.110640>). The [...truncated...]
Author: Debora C. O. Goncalves [aut, cre], Nathalia S. Silva [aut], Rony P. S. Almeida [aut], Livia P. Prado [aut], Maria S. C. Morini [aut]
Maintainer: Debora C. O. Goncalves <debora_cog@outlook.com>

Diff between AntClassify versions 0.2.1 dated 2026-05-07 and 0.2.2 dated 2026-06-17

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More information about AntClassify at CRAN
Permanent link

New package tinyoauth with initial version 0.1.0
Package: tinyoauth
Title: Minimal OAuth 2.0 Client
Version: 0.1.0
Date: 2026-06-10
Description: A dependency-light OAuth 2.0 <https://www.rfc-editor.org/rfc/rfc6749> client supporting the client-credentials and authorization-code grants with token refresh. Built on 'curl' and 'jsonlite', with base R's socket server for the redirect listener, avoiding heavier HTTP stacks. Includes a helper for the 'OpenAI' <https://openai.com/> 'Codex' device login, a similar but non-standard variant of the OAuth 2.0 device authorization grant.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: curl, jsonlite
Suggests: tinytest
URL: https://github.com/cornball-ai/tinyoauth
BugReports: https://github.com/cornball-ai/tinyoauth/issues
NeedsCompilation: no
Packaged: 2026-06-10 06:05:34 UTC; troy
Author: Troy Hernandez [aut, cre] , Sounkou Mahamane Toure [ctb], cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-06-17 17:40:02 UTC

More information about tinyoauth at CRAN
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Package surveyframe updated to version 0.3.2 with previous version 0.3.1 dated 2026-06-02

Title: Survey Instrument Workflows
Description: Supports survey research workflows built around a typed instrument object (the sframe). Features include visual instrument design via a browser-based builder or 'Shiny' studio, export to a self-contained static HTML survey, an embeddable 'Shiny' module, SHA-256 integrity-checked serialisation to the '.sframe' format, multi-page survey rendering, branching logic, response quality checking, scale scoring, psychometric diagnostics, analysis-plan execution, model syntax planning, an interactive response dashboard, codebook generation, and reproducible HTML reporting.
Author: Mohammed Ali Sharafuddin [aut, cre]
Maintainer: Mohammed Ali Sharafuddin <mohammedali.page@gmail.com>

Diff between surveyframe versions 0.3.1 dated 2026-06-02 and 0.3.2 dated 2026-06-17

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More information about surveyframe at CRAN
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Package PCPS updated to version 1.0.9 with previous version 1.0.8 dated 2025-08-23

Title: Principal Coordinates of Phylogenetic Structure
Description: Set of functions for analysis of Principal Coordinates of Phylogenetic Structure (PCPS).
Author: Vanderlei Julio Debastiani [aut, cre]
Maintainer: Vanderlei Julio Debastiani <vanderleidebastiani@yahoo.com.br>

Diff between PCPS versions 1.0.8 dated 2025-08-23 and 1.0.9 dated 2026-06-17

 PCPS-1.0.8/PCPS/R/FUN.ADONIS.R           |only
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More information about PCPS at CRAN
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New package NBKP with initial version 0.1.0
Package: NBKP
Title: Beta Kernel Process Modeling with Negative Binomial Response
Version: 0.1.0
Description: An extension of the Beta Kernel Process model designed to handle negative binomial responses for count data modeling, building upon Zhao, Qing and Xu (2025) <doi:10.48550/arXiv.2508.10447>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats,graphics,utils,dirmult,gridExtra,lattice,optimx,tgp,lhs
NeedsCompilation: no
Packaged: 2026-06-10 07:06:19 UTC; a37
Author: Xueqin Li [aut], Xingyue Fa [aut], Shanqing Yin [aut, cre], Yi Zhuo [aut]
Maintainer: Shanqing Yin <2191983548@qq.com>
Repository: CRAN
Date/Publication: 2026-06-17 17:40:19 UTC

More information about NBKP at CRAN
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Package iSTAY updated to version 1.1.0 with previous version 1.0.0 dated 2025-10-28

Title: Information-Based Stability and Synchrony Measures
Description: Provides functions to compute a continuum of information-based measures for quantifying the temporal stability of populations, communities, and ecosystems, as well as their associated synchrony, based on species (or species assemblage) biomass, or other key variables. When biodiversity data are available, the package also enables the assessment of the corresponding diversity–stability and diversity–synchrony relationships. All measures are applicable in both temporal and spatial contexts. The theoretical and methodological background is detailed in Chao et al. (2025) <doi:10.1101/2025.08.20.671203>.
Author: Anne Chao [aut, cre], Yu-Ti Lee [aut], Keng-Lei Lin [aut], Po-Yen Chuang [aut]
Maintainer: Anne Chao <chao@stat.nthu.edu.tw>

Diff between iSTAY versions 1.0.0 dated 2025-10-28 and 1.1.0 dated 2026-06-17

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Package gazepath readmission to version 1.4 with previous version 1.3 dated 2020-02-09

Title: Parse Eye-Tracking Data into Fixations
Description: Eye-tracking data must be transformed into fixations and saccades before it can be analyzed. This package provides a non-parametric speed-based approach to do this on a trial basis. The method is especially useful when there are large differences in data quality, as the thresholds are adjusted accordingly. The same pre-processing procedure can be applied to all participants, while accounting for individual differences in data quality. The method is described in van Renswoude et al. (2018) <doi:10.3758/s13428-017-0909-3>.
Author: Ingmar Visser [aut, cre], Daan van Renswoude [aut]
Maintainer: Ingmar Visser <i.visser@uva.nl>

This is a re-admission after prior archival of version 1.3 dated 2020-02-09

Diff between gazepath versions 1.3 dated 2020-02-09 and 1.4 dated 2026-06-17

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More information about gazepath at CRAN
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Package gaawr2 updated to version 0.0.8 with previous version 0.0.7 dated 2026-03-10

Title: Genetic Association Analysis
Description: This is a companion to Henry-Stewart talk by Zhao (2026, <doi:10.69645/FRFQ9519>), which gathers information, metadata and scripts to showcase modern genetic analysis -- ranging from testing of polymorphic variant(s) for Hardy-Weinberg equilibrium, association with traits using genetic and statistical models, Bayesian implementation, power calculation in study design, and genetic annotation. It also covers R integration with the Linux environment, GitHub, package creation and web applications. The earlier version by Zhao (2009, <doi:10.69645/DCRY5578>) provides a brief introduction to these topics.
Author: Jing Hua Zhao [aut, cre] , Benjamin Altmann [ctb], Brian Ripley [ctb]
Maintainer: Jing Hua Zhao <jinghuazhao@hotmail.com>

Diff between gaawr2 versions 0.0.7 dated 2026-03-10 and 0.0.8 dated 2026-06-17

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More information about gaawr2 at CRAN
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New package fileaccess with initial version 0.1.1
Package: fileaccess
Title: File and Directory Access Validation
Version: 0.1.1
Description: Provides utility functions to validate read, write, execute, network, directory, and file access for local and Universal Naming Convention (UNC) network paths. Useful for pre-flight checks before file operations in data pipelines.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: tools
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2026-06-10 03:39:57 UTC; JSV
Author: Vaishali JS [aut, cre]
Maintainer: Vaishali JS <vaishali123.js@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-17 17:40:07 UTC

More information about fileaccess at CRAN
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New package civic.icarm with initial version 0.2.0
Package: civic.icarm
Title: Interpretable Civic-Accountable and Responsible Machine Learning
Version: 0.2.0
Description: A general-purpose framework for Interpretable Civic-Accountable and Responsible Machine Learning (ICARM). Works with any clean tabular data and automatically detects whether a task is binary classification, multi-class classification, or regression from the target variable type. Provides a single unified entry point civic_fit() alongside tidy interfaces for global and local model explanations, group-level fairness auditing, probability calibration, multi-model comparison, threshold analysis, and reproducible audit trails. Designed to support the DataCitizen-Pro research agenda at Ludwigsburg University of Education: developing data literacy, statistical reasoning, and democratic judgment formation in civic and political teacher education. References: Biecek (2018) <doi:10.18637/jss.v085.i04>, Kuhn (2008) <doi:10.18637/jss.v028.i05>, Awe (2025) <https://github.com/Olawaleawe/civic.icarm>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: stats, utils, rpart, ggplot2, dplyr, tidyr, tibble, purrr, rlang, jsonlite, digest
Suggests: DALEX, glmnet, mgcv, pROC, nnet, testthat, covr
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-10 09:03:39 UTC; olawa
Author: Olushina Olawale Awe [aut, cre], Ludwigsburg University of Education [fnd]
Maintainer: Olushina Olawale Awe <olawaleawe@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-17 17:50:06 UTC

More information about civic.icarm at CRAN
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New package bayesqm with initial version 0.1.0
Package: bayesqm
Title: Bayesian Q Methodology: Probabilistic Factor Analysis
Version: 0.1.0
Date: 2026-05-18
Description: A Bayesian factor-analytic framework for Q methodology. Fits a low-rank factor model to Q-sort data with a Student-t likelihood and a hierarchical normal prior on loadings, samples the posterior with Stan, resolves rotational ambiguity via the MatchAlign post-processing of Poworoznek et al. (2025) <doi:10.1214/25-BA1544>, and returns posterior summaries including credible intervals for loadings and factor scores, probabilistic dominant-factor membership, distinguishing and consensus statements, and PSIS-LOO-based factor enumeration following Vehtari et al. (2017) <doi:10.1007/s11222-016-9696-4> with the Sivula et al. (2025) <doi:10.1214/25-BA1569> parsimony rule.
License: GPL (>= 3)
URL: https://github.com/rdazadda/bayesqm, https://rdazadda.github.io/bayesqm/
BugReports: https://github.com/rdazadda/bayesqm/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: stats, utils, tools, parallel, rstantools (>= 2.3.0)
Suggests: cmdstanr (>= 0.8.0), rstan (>= 2.32.0), loo (>= 2.7.0), GPArotation (>= 2024.3-1), lpSolve, readxl (>= 1.4.0), jsonlite (>= 1.8.0), posterior (>= 1.5.0), ggplot2 (>= 3.4.0), ggdist (>= 3.3.0), ggridges (>= 0.5.0), scales (>= 1.2.0), knitr (>= 1.40), rmarkdown (>= 2.20), testthat (>= 3.0.0), vdiffr (>= 1.0.0)
VignetteBuilder: knitr
Additional_repositories: https://stan-dev.r-universe.dev
NeedsCompilation: no
Packaged: 2026-06-10 02:15:55 UTC; rdazadda
Author: Raymond Dacosta Azadda [aut, cre], AK-ACE Team [aut], Karsten Hueffer [aut], Taa'aii Peter [aut], Stacy Rasmus [aut]
Maintainer: Raymond Dacosta Azadda <rdazadda@alaska.edu>
Repository: CRAN
Date/Publication: 2026-06-17 17:40:12 UTC

More information about bayesqm at CRAN
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Package paws.common updated to version 0.8.10 with previous version 0.8.9 dated 2026-02-17

Title: Paws Low-Level Amazon Web Services API
Description: Functions for making low-level API requests to Amazon Web Services <https://aws.amazon.com>. The functions handle building, signing, and sending requests, and receiving responses. They are designed to help build higher-level interfaces to individual services, such as Simple Storage Service (S3).
Author: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between paws.common versions 0.8.9 dated 2026-02-17 and 0.8.10 dated 2026-06-17

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Package omopgenerics updated to version 1.4.0 with previous version 1.3.7 dated 2026-03-07

Title: Methods and Classes for the OMOP Common Data Model
Description: Provides definitions of core classes and methods used by analytic pipelines that query the OMOP (Observational Medical Outcomes Partnership) common data model.
Author: Marti Catala [aut, cre] , Edward Burn [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Marta Alcalde-Herraiz [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

Diff between omopgenerics versions 1.3.7 dated 2026-03-07 and 1.4.0 dated 2026-06-17

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More information about omopgenerics at CRAN
Permanent link

Package DiceView updated to version 4.0 with previous version 3.2 dated 2026-05-19

Title: Methods for Visualization of Computer Experiments Design and Surrogate
Description: View 2D/3D sections, contour plots, mesh of excursion sets for computer experiments designs, surrogates or test functions.
Author: Yann Richet [aut, cre] , Yves Deville [aut], Clement Chevalier [ctb]
Maintainer: Yann Richet <yann.richet@asnr.fr>

Diff between DiceView versions 3.2 dated 2026-05-19 and 4.0 dated 2026-06-17

 DESCRIPTION               |   13 +++++++------
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Permanent link

New package teems with initial version 0.1.1
Package: teems
Title: Trade and Environment Equilibrium Modeling System
Version: 0.1.1
Description: Equilibrium models are frequently employed to examine the potential impacts of economic, energy, and trade policies as well as form the foundation of most integrated assessment models. The 'teems' package handles all aspects of running equilibrium models while facilitating transparent and reproducible workflows.
License: AGPL (>= 3)
URL: https://teemsphere.github.io/, https://github.com/teemsphere/teems/
BugReports: https://github.com/teemsphere/teems/issues
Depends: R (>= 4.3.0)
Imports: cli (>= 3.4.0), data.table (>= 1.15.0), purrr (>= 1.0.0), R6 (>= 2.4.0), rlang (>= 1.0.0), stats, tibble (>= 3.0.0), tools, utils
Suggests: testthat (>= 3.0.0), withr (>= 3.0.0)
LinkingTo: cpp11
Encoding: UTF-8
Language: en-US
SystemRequirements: Docker (https://www.docker.com)
NeedsCompilation: yes
Packaged: 2026-06-10 02:37:44 UTC; mpc
Author: Matthew Cantele [aut, cre, cph] , Tom Kompas [ctb, ths] , Ha Van Pham [ctb] , Martin Ingram [ctb]
Maintainer: Matthew Cantele <matthew.cantele@protonmail.com>
Repository: CRAN
Date/Publication: 2026-06-17 14:10:03 UTC

More information about teems at CRAN
Permanent link

Package NCA updated to version 5.0.2 with previous version 5.0.1 dated 2026-04-28

Title: Necessary Condition Analysis
Description: Performs a Necessary Condition Analysis (NCA). (Dul, J. 2016. Necessary Condition Analysis (NCA). ''Logic and Methodology of 'Necessary but not Sufficient' causality." Organizational Research Methods 19(1), 10-52) <doi:10.1177/1094428115584005>. NCA identifies necessary (but not sufficient) conditions in datasets, where x causes (e.g. precedes) y. Instead of drawing a regression line ''through the middle of the data'' in an xy-plot, NCA draws the ceiling line. The ceiling line y = f(x) separates the area with observations from the area without observations. (Nearly) all observations are below the ceiling line: y <= f(x). The empty zone is in the upper left hand corner of the xy-plot (with the convention that the x-axis is ''horizontal'' and the y-axis is ''vertical'' and that values increase ''upwards'' and ''to the right''). The ceiling line is a (piecewise) linear non-decreasing line: a linear step function or a straight line. It indicates which level of x (e.g., an effort, [...truncated...]
Author: Jan Dul [aut], Govert Buijs [cre]
Maintainer: Govert Buijs <buijs@rsm.nl>

Diff between NCA versions 5.0.1 dated 2026-04-28 and 5.0.2 dated 2026-06-17

 DESCRIPTION           |    8 +++----
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 14 files changed, 126 insertions(+), 72 deletions(-)

More information about NCA at CRAN
Permanent link

Package mapSpain updated to version 1.2.0 with previous version 1.1.0 dated 2026-03-26

Title: Administrative Boundaries and Static Map Tiles for Spain
Description: Administrative boundaries of Spain at several levels (Autonomous Communities and Cities, provinces, municipalities and 'NUTS'), based on 'GISCO' from 'Eurostat' <https://ec.europa.eu/eurostat/web/gisco> and 'CartoBase ANE' from 'Instituto Geográfico Nacional' <https://www.ign.es/>. Includes tools to download and process static map tiles and a 'leaflet' plugin for Spanish public administration tile providers.
Author: Diego Hernangomez [aut, cre, cph] , Eurostat [cph] , Instituto Geografico Nacional [cph] , Francisco J. Goerlich [ctb]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between mapSpain versions 1.1.0 dated 2026-03-26 and 1.2.0 dated 2026-06-17

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 tests/testthat/test-esp-get-ccaa-siane.R         |  332 ++----
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 tests/testthat/test-esp-get-roads.R              |  209 +--
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 tests/testthat/test-esp-get-stations.R           |  160 +-
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 tests/testthat/test-esp-make-provider.R          |  110 +-
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 tests/testthat/test-esp-siane-bulk-download.R    |  105 -
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 tests/testthat/test-utils-country.R              |  100 -
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 183 files changed, 16776 insertions(+), 17448 deletions(-)

More information about mapSpain at CRAN
Permanent link

Package conMItion updated to version 0.4.0 with previous version 0.3.1 dated 2026-05-26

Title: Conditional Mutual Information Estimation for Multi-Omics Data
Description: The biases introduced in association measures, particularly mutual information, are influenced by factors such as tumor purity, mutation burden, and hypermethylation. This package provides the estimation of conditional mutual information (CMI) and its statistical significance with a focus on its application to multi-omics data. Utilizing B-spline functions (inspired by Daub et al. (2004) <doi:10.1186/1471-2105-5-118>), the package offers tools to estimate the association between heterogeneous multi- omics data, while removing the effects of confounding factors. This helps to unravel complex biological interactions. In addition, it includes methods to evaluate the statistical significance of these associations, providing a robust framework for multi-omics data integration and analysis. This package is ideal for researchers in computational biology, bioinformatics, and systems biology seeking a comprehensive tool for understanding interdependencies in omics data.
Author: Gaojianyong Wang [aut, cre]
Maintainer: Gaojianyong Wang <gjywang@gmail.com>

Diff between conMItion versions 0.3.1 dated 2026-05-26 and 0.4.0 dated 2026-06-17

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 9 files changed, 282 insertions(+), 42 deletions(-)

More information about conMItion at CRAN
Permanent link

Package cffr updated to version 1.4.1 with previous version 1.4.0 dated 2026-05-04

Title: Generate Citation File Format ('CFF') Metadata for R Packages
Description: Citation File Format ('CFF') version 1.2.0 <doi:10.5281/zenodo.5171937> is a human- and machine-readable file format for software citation metadata. Core utilities generate, read, write and validate Citation File Format metadata for R packages.
Author: Diego Hernangomez [aut, cre, cph] , Joao Martins [rev] , Scott Chamberlain [rev]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between cffr versions 1.4.0 dated 2026-05-04 and 1.4.1 dated 2026-06-17

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 cffr-1.4.1/cffr/NAMESPACE                                                     |  176 
 cffr-1.4.1/cffr/NEWS.md                                                       |  246 
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 cffr-1.4.1/cffr/R/cff_create.R                                                |  206 
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 cffr-1.4.1/cffr/R/cff_read.R                                                  |  140 
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 cffr-1.4.1/cffr/R/docs.R                                                      |   44 
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 cffr-1.4.1/cffr/R/zzz.R                                                       |   26 
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 cffr-1.4.1/cffr/inst/WORDLIST                                                 |    6 
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 cffr-1.4.1/cffr/inst/examples/preferred-citation-conference-paper-2.cff       |   74 
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 cffr-1.4.1/cffr/inst/examples/preferred-citation-no-vol.cff                   |   60 
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 cffr-1.4.1/cffr/inst/examples/preferred-citation-report-no-affiliation.cff    |   58 
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 cffr-1.4.1/cffr/inst/examples/tidyverse-joss-paper.cff                        |   58 
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 cffr-1.4.1/cffr/man/as_bibentry.Rd                                            |   73 
 cffr-1.4.1/cffr/man/as_cff.Rd                                                 |   36 
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 cffr-1.4.1/cffr/man/cff.Rd                                                    |   15 
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 cffr-1.4.1/cffr/man/cff_git_hook.Rd                                           |   10 
 cffr-1.4.1/cffr/man/cff_modify.Rd                                             |   11 
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 cffr-1.4.1/cffr/man/cff_schema.Rd                                             |   20 
 cffr-1.4.1/cffr/man/cff_validate.Rd                                           |   30 
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 187 files changed, 12207 insertions(+), 12196 deletions(-)

More information about cffr at CRAN
Permanent link

New package spqrp with initial version 0.1.0
Package: spqrp
Title: Sample Provenance Quality Resolver in Proteomics
Version: 0.1.0
Description: Detect sample-provenance inconsistencies and potential mix-ups in mass-spectrometry-based plasma-proteome cohorts. Provides a clustering-based approach (build a nearest-neighbour graph in a dimensionality-reduced space and iteratively split large components by edge weight), a threshold-based approach (classify sample pairs as belonging or not-belonging from a pairwise distance cutoff), parameter optimization over distance metrics and cutoffs, and a pairwise random-forest classifier for protein importance ranking. This is a native R port of the author's Python package 'spqrp' (<https://github.com/fhradilak/spqrp>), implementing methods from an associated manuscript currently in preparation.
License: GPL-3
URL: https://github.com/fhradilak/spqrp_r
BugReports: https://github.com/fhradilak/spqrp_r/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.5.0)
Imports: cli, dplyr (>= 1.1.0), ggplot2 (>= 3.5.0), igraph (>= 2.0.0), lgr, pROC, randomForest, ranger (>= 0.16.0), rlang, solitude (>= 1.1.3), stats, tibble, tidyr (>= 1.3.0), utils, withr
Suggests: knitr, plotly (>= 4.10.0), recipes, rmarkdown, smacof, testthat (>= 3.0.0), themis, uwot (>= 0.2.0), vdiffr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-09 14:02:19 UTC; franziska
Author: Franziska Hradilak [aut, cre]
Maintainer: Franziska Hradilak <Franziska.Hradilak@student.hpi.uni-potsdam.de>
Repository: CRAN
Date/Publication: 2026-06-17 13:20:02 UTC

More information about spqrp at CRAN
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