Tue, 16 Jun 2026

Package VizModules updated to version 0.2.0 with previous version 0.1.1 dated 2026-04-08

Title: Flexible, Interactive 'shiny' Modules for Almost Any Plot
Description: Offers a core selection of interactivity-first 'shiny' modules for many plot types meant to serve as flexible building blocks for applications and as the base for more complex modules. These modules allow for the rapid and convenient construction of 'shiny' apps with very few lines of code and decouple plotting from the underlying data. These modules allow for full plot aesthetic customization by the end user through UI inputs. Utility functions for simple UI organization, automated UI tooltips, and additional plot enhancements are also provided. Includes a multi-panel figure builder app for arranging multiple modules together in a free-form layout.
Author: Jared Andrews [aut, cre] , Jacob Martin [aut]
Maintainer: Jared Andrews <jared.andrews07@gmail.com>

Diff between VizModules versions 0.1.1 dated 2026-04-08 and 0.2.0 dated 2026-06-16

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 VizModules-0.2.0/VizModules/R/createModuleApp.R                               |   13 
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 VizModules-0.2.0/VizModules/R/dittoViz_yPlot_module_app.R                     |    3 
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 VizModules-0.2.0/VizModules/R/parse_utils.R                                   |    9 
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 VizModules-0.2.0/VizModules/R/plotthis_SplitBarPlot_module_server.R           |   74 
 VizModules-0.2.0/VizModules/R/plotthis_SplitBarPlot_module_ui.R               |  240 -
 VizModules-0.2.0/VizModules/R/plotthis_ViolinPlot_module_server.R             |  114 
 VizModules-0.2.0/VizModules/R/plotthis_ViolinPlot_module_ui.R                 |   80 
 VizModules-0.2.0/VizModules/R/radarPlot_module_server.R                       |   36 
 VizModules-0.2.0/VizModules/R/radarPlot_module_ui.R                           |   69 
 VizModules-0.2.0/VizModules/R/reset_uniform_ui_inputs.R                       |   35 
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More information about VizModules at CRAN
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Package EpiNow2 updated to version 1.9.0 with previous version 1.8.0 dated 2026-02-04

Title: Estimate and Forecast Real-Time Infection Dynamics
Description: Estimates the time-varying reproduction number, rate of spread, and doubling time using a renewal equation approach combined with Bayesian inference via Stan. Supports Gaussian process and random walk priors for modelling changes in transmission over time. Accounts for delays between infection and observation (incubation period, reporting delays), right-truncation in recent data, day-of-week effects, and observation overdispersion. Can estimate relationships between primary and secondary outcomes (e.g., cases to hospitalisations or deaths) and forecast both. Runs across multiple regions in parallel. Based on Abbott et al. (2020) <doi:10.12688/wellcomeopenres.16006.1> and Gostic et al. (2020) <doi:10.1101/2020.06.18.20134858>.
Author: Sam Abbott [aut] , Joel Hellewell [aut] , Katharine Sherratt [aut], Katelyn Gostic [aut], Joe Hickson [aut], Hamada S. Badr [aut] , Michael DeWitt [aut] , James M. Azam [aut] , Adrian Lison [aut] , Robin Thompson [ctb], Sophie Meakin [ctb], James Mun [...truncated...]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>

Diff between EpiNow2 versions 1.8.0 dated 2026-02-04 and 1.9.0 dated 2026-06-16

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 EpiNow2-1.9.0/EpiNow2/DESCRIPTION                                                       |   10 
 EpiNow2-1.9.0/EpiNow2/MD5                                                               |  617 
 EpiNow2-1.9.0/EpiNow2/NAMESPACE                                                         |   16 
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 EpiNow2-1.9.0/EpiNow2/R/extract.R                                                       |   33 
 EpiNow2-1.9.0/EpiNow2/R/fit.R                                                           |    4 
 EpiNow2-1.9.0/EpiNow2/R/format.R                                                        |   25 
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 EpiNow2-1.9.0/EpiNow2/R/plot.R                                                          |   38 
 EpiNow2-1.9.0/EpiNow2/R/preprocessing.R                                                 |   25 
 EpiNow2-1.9.0/EpiNow2/R/regional_epinow.R                                               |   22 
 EpiNow2-1.9.0/EpiNow2/R/report.R                                                        |    4 
 EpiNow2-1.9.0/EpiNow2/R/setup.R                                                         |   10 
 EpiNow2-1.9.0/EpiNow2/R/simulate_infections.R                                           |   44 
 EpiNow2-1.9.0/EpiNow2/R/simulate_secondary.R                                            |   34 
 EpiNow2-1.9.0/EpiNow2/R/stan.R                                                          |    5 
 EpiNow2-1.9.0/EpiNow2/R/stanmodels.R                                                    |    3 
 EpiNow2-1.9.0/EpiNow2/R/summarise.R                                                     |  161 
 EpiNow2-1.9.0/EpiNow2/R/utilities.R                                                     |   94 
 EpiNow2-1.9.0/EpiNow2/README.md                                                         |    7 
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Package qol updated to version 1.3.2 with previous version 1.3.1 dated 2026-05-16

Title: Powerful 'SAS' Inspired Concepts for more Efficient Bigger Outputs
Description: The main goal is to make descriptive evaluations easier to create bigger and more complex outputs in less time with less code. Introducing format containers with multilabels <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p06ciqes4eaqo6n0zyqtz9p21nfb.htm>, a more powerful summarise which is capable to output every possible combination of the provided grouping variables in one go <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p0jvbbqkt0gs2cn1lo4zndbqs1pe.htm>, tabulation functions which can create any table in different styles <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/n1ql5xnu0k3kdtn11gwa5hc7u435.htm> and other more readable functions. The code is optimized to work fast even with datasets of over a million observations.
Author: Tim Siebenmorgen [aut, cre, cph]
Maintainer: Tim Siebenmorgen <qol_package@proton.me>

Diff between qol versions 1.3.1 dated 2026-05-16 and 1.3.2 dated 2026-06-16

 DESCRIPTION                            |    6 
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 NAMESPACE                              |    9 
 NEWS.md                                |   64 
 R/any_table.R                          | 6483 ++++++++++++++++-----------------
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Package MixMashNet updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-30

Title: Tools for Multilayer and Single Layer Network Modeling
Description: Estimation and bootstrap utilities for single layer and multilayer Mixed Graphical Models, including functions for centrality, bridge metrics, membership stability, and plotting (De Martino et al. (2026) <doi:10.48550/arXiv.2602.05716>).
Author: Maria De Martino [aut, cre], Caterina Gregorio [aut], Adrien Perigord [ctb], Hudson Golino [ctb], Jonas Haslbeck [ctb]
Maintainer: Maria De Martino <maria.demartino@uniud.it>

Diff between MixMashNet versions 1.0.0 dated 2026-04-30 and 1.1.0 dated 2026-06-16

 DESCRIPTION                |    6 
 MD5                        |   36 ++---
 NAMESPACE                  |    2 
 NEWS.md                    |   12 +
 R/community_scores.R       |   67 +++++++++-
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 R/get_edges.R              |  257 +++++++++++++++++++++++++++++++++---------
 R/infer_mgm_spec.R         |   27 +++-
 R/layouts.R                |  141 +++++++++++++++--------
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New package ierd with initial version 0.1.1
Package: ierd
Title: Inverted Exponentiated Rayleigh Distribution Tools
Version: 0.1.1
Description: Provides the density, distribution function, quantile function, random generation, and visualization tools for the Inverted Exponentiated Rayleigh Distribution.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, magrittr, tidyr
URL: https://github.com/SudiptaPal0709/ierd
BugReports: https://github.com/SudiptaPal0709/ierd/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-06-08 22:59:39 UTC; sudip
Author: Sudipta Pal [aut, cre]
Maintainer: Sudipta Pal <sudiptapal0709@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-16 20:10:02 UTC

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New package hydrocan with initial version 0.0.1
Package: hydrocan
Title: Unified Access to Canadian Hydrometric Data
Version: 0.0.1
Description: Provides a unified interface for accessing diverse web-published hydrometric data sources across Canada, presenting users with consistent tabular output regardless of the underlying data source.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/HakaiInstitute/hydrocan, https://hakaiinstitute.github.io/hydrocan/
BugReports: https://github.com/HakaiInstitute/hydrocan/issues
Depends: R (>= 4.2.0)
Imports: cli, dplyr, httr2, tibble
Suggests: httptest2, knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-08 23:46:47 UTC; sam.albers
Author: Sam Albers [aut, cre], Tula Foundation [fnd, cph], Canada Water Agency [fnd]
Maintainer: Sam Albers <sam.albers@hakai.org>
Repository: CRAN
Date/Publication: 2026-06-16 20:10:07 UTC

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New package formr with initial version 1.1.0
Package: formr
Title: Companion R Package for the 'formr' Survey Framework
Description: Serves as a companion toolkit for the 'formr' survey framework (<https://rforms.org>). The package acts as a bridge between a 'formr' server and a local R environment. Key features include an API client for fetching, type-casting, and automatically scoring data; a project management workflow for syncing study assets (surveys, CSS) for local editing; and functions for use within 'formr' runs to generate dynamic, personalized feedback plots and to simplify survey logic.
Version: 1.1.0
Depends: R (>= 4.1.0)
Imports: stats, methods, tools, utils, dplyr, ggplot2, scales, haven, stringr, tidyr, knitr, httr, curl, jsonlite, lubridate, rmarkdown, otp, keyring, purrr, readr, rlang
Suggests: testthat (>= 3.0.0), vcr, mockery, withr, rstudioapi, plotly, commonmark
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
URL: https://rubenarslan.github.io/formr/, https://github.com/rubenarslan/formr
BugReports: https://github.com/rubenarslan/formr/issues
NeedsCompilation: no
Packaged: 2026-06-08 20:38:00 UTC; rubenarslan
Author: Ruben Arslan [aut, cre] , Tim B Seidel [aut, ctb]
Maintainer: Ruben Arslan <rubenarslan@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-16 20:10:13 UTC

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New package dtsmartr with initial version 0.1.0
Package: dtsmartr
Title: Interactive Virtualized Data Explorer Grid Widget
Version: 0.1.0
Description: Provides an interactive, virtualized data explorer widget for 'R'. Built on 'React' (via 'reactR') and 'htmlwidgets', it offers column-type detection, multi-value checkbox filtering, sorting, column visibility toggling, virtual scrolling for large datasets, and a full-viewport modal. Includes 'dtsmartr_launch()' with an interactive, zero-code file upload wizard using 'datamods'. Widgets can be embedded in 'R Markdown' / 'Quarto' documents, 'Shiny' applications, or exported as standalone HTML files via 'save_dtsmartr()'.
License: MIT + file LICENSE
URL: https://github.com/wagh-nikhil/dtsmartr
BugReports: https://github.com/wagh-nikhil/dtsmartr/issues
Encoding: UTF-8
Imports: datamods, htmltools, htmlwidgets, jsonlite, reactR, shiny, tools, utils
Suggests: bslib, pharmaverseadam, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-09 11:22:32 UTC; hp
Author: Nikhil Wagh [aut, cre]
Maintainer: Nikhil Wagh <nmw1986@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-16 20:30:02 UTC

More information about dtsmartr at CRAN
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New package bptips with initial version 0.1.0
Package: bptips
Title: Server Earnings Calculations
Version: 0.1.0
Description: A collection of functions that allow servers (specifically BPKP) to summarize and verify shift earnings, identify composition of tips and hourly wage, and track performance through several metrics.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-09 03:32:14 UTC; averybennett
Author: Avery Bennett [aut, cre]
Maintainer: Avery Bennett <avery.bennett@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2026-06-16 20:20:02 UTC

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Package BLSloadR updated to version 0.4.6 with previous version 0.4.5 dated 2026-04-23

Title: Download Time Series Data from the U.S. Bureau of Labor Statistics
Description: These functions provide a convenient interface for downloading data from the U.S. Bureau of Labor Statistics <https://www.bls.gov>. The functions in this package utilize flat files produced by the Bureau of Labor Statistics, which contain full series history. These files include employment, unemployment, wages, prices, industry and occupational data at a national, state, and sub-state level, depending on the series. Individual functions are included for those programs which have data available at the state level. The core functions provide direct access to the Current Employment Statistics (CES) <https://www.bls.gov/ces/>, Local Area Unemployment Statistics (LAUS) <https://www.bls.gov/lau/>, Occupational Employment and Wage Statistics (OEWS) <https://www.bls.gov/oes/> and Alternative Measures of Labor Underutilization (SALT) <https://www.bls.gov/lau/stalt.htm> data produced by the Bureau of Labor Statistics.
Author: Nevada Department of Employment, Training, and Rehabilitation [cph], David Schmidt [aut, cre], Mark Rembert [aut]
Maintainer: David Schmidt <deschmidt@detr.nv.gov>

Diff between BLSloadR versions 0.4.5 dated 2026-04-23 and 0.4.6 dated 2026-06-16

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 12 files changed, 4 insertions(+), 5 deletions(-)

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New package rspdlite with initial version 0.1.0-1
Package: rspdlite
Title: R and C++ Interfaces to 'spdlite' C++ Header Library for Logging
Version: 0.1.0-1
Date: 2026-06-08
License: GPL (>= 2)
Description: The lightweight header-only C++-20 logging library 'spdlite', a lighter version of 'spdlog' and also written by Gabi Melman, provides most of the features of the larger version, and also includes 'fmt' as a fallback if std::format() is not selected.
URL: https://github.com/eddelbuettel/rspdlite
BugReports: https://github.com/eddelbuettel/rspdlite/issues
LinkingTo: Rcpp
Imports: Rcpp
Suggests: tinytest
NeedsCompilation: yes
Packaged: 2026-06-08 15:00:57 UTC; edd
Author: Dirk Eddelbuettel [aut, cre] , Gabi Melman [aut] , Victor Zverovic [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2026-06-16 19:30:02 UTC

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New package nicheR with initial version 0.1.0
Package: nicheR
Title: Ellipsoid-Based Virtual Niches and Visualization
Version: 0.1.0
Description: Provides a robust set of tools for researchers and modelers to construct and define virtual ecological niches using ellipsoid geometries. It enables the identification and extraction of suitable environmental areas, simulation of species occurrence points with various sampling strategies, and visualization of niche boundaries and simulated occurrences in both environmental and geographic space. Inspired by methodologies in 'NicheA' and the 'virtualspecies' R package, 'nicheR' aims to streamline the process of niche conceptualization and data generation for ecological studies. Methodological and theoretical foundations are described in Peterson et al. (2011, ISBN:9780691136882), Etherington et al. (2009) <doi:10.1111/j.1365-2699.2008.02041.x>, Qiao et al. (2015) <doi:10.1111/ecog.01961>, Nunez-Penichet et al. (2021) <doi:10.21425/F5FBG52142>, Cobos and Peterson (2022) <doi:10.17161/bi.v17i.15985>, Alkishe et al. (2022) <doi:10.5194/we-22-33-2022>, and Leroy [...truncated...]
URL: https://github.com/castanedaM/nicheR, https://castanedam.github.io/nicheR/
BugReports: https://github.com/castanedaM/nicheR/issues
Depends: R (>= 3.5)
Imports: terra
Suggests: rgl (>= 1.3), knitr, rmarkdown
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-08 16:02:15 UTC; mcguz
Author: Mariana Castaneda-Guzman [aut, cre] , Connor Hughes [aut] , Paanwaris Paansri [aut] , Marlon E. Cobos [aut]
Maintainer: Mariana Castaneda-Guzman <marianacg@vt.edu>
Repository: CRAN
Date/Publication: 2026-06-16 19:30:08 UTC

More information about nicheR at CRAN
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New package llmjoin with initial version 0.3.0
Package: llmjoin
Title: LLM-Powered Fuzzy Join
Version: 0.3.0
Description: Resolves ambiguous links between data.frames using large language models (LLMs). Supports matching across spelling variations, translations, and differing levels of precision.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, jsonlite, config, readr
Suggests: testthat (>= 3.0.0)
Depends: R (>= 4.2.0)
URL: https://github.com/evanliu3594/llmjoin
BugReports: https://github.com/evanliu3594/llmjoin/issues
NeedsCompilation: no
Packaged: 2026-06-08 18:22:33 UTC; Evan
Author: Yifan LIU [aut, cre]
Maintainer: Yifan LIU <yifan.liu@smail.nju.edu.cn>
Repository: CRAN
Date/Publication: 2026-06-16 19:50:02 UTC

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New package GLBFP with initial version 0.5.1
Package: GLBFP
Title: General Linear Blend Frequency Polygon Density Estimation
Version: 0.5.1
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>.
License: GPL (>= 3)
URL: https://aureliennicosiaulaval.github.io/GLBFP/, https://github.com/AurelienNicosiaULaval/GLBFP
BugReports: https://github.com/AurelienNicosiaULaval/GLBFP/issues
Depends: R (>= 4.1.0)
Imports: ggplot2, plotly
Suggests: knitr, MASS, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-08 10:37:16 UTC; aureliennicosia
Author: Aurelien Nicosia [aut, cre]
Maintainer: Aurelien Nicosia <aurelien.nicosia@mat.ulaval.ca>
Repository: CRAN
Date/Publication: 2026-06-16 19:20:02 UTC

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New package ggmemo with initial version 0.1.0
Package: ggmemo
Title: Add Arrows, Labels, and Change Annotations to 'ggplot2' Charts
Version: 0.1.0
Description: Add callout arrows, highlight data points, and show percent change between rows on 'ggplot2' charts in one line of code. annotate_callout() points at a data row with an arrow and label. annotate_change() draws a color-coded arrow between two rows and labels the delta as percent change, absolute difference, or percentage points. Designed for business charts, quarterly reports, and dashboards. Built on top of the 'ggpp' package.
URL: https://lindsay-lintelman.github.io/ggmemo/, https://github.com/lindsay-lintelman/ggmemo
BugReports: https://github.com/lindsay-lintelman/ggmemo/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, ggpp, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-08 14:33:42 UTC; lindsaylintelman
Author: Lindsay Lintelman [aut, cre]
Maintainer: Lindsay Lintelman <lindsay.lintelman@posit.co>
Repository: CRAN
Date/Publication: 2026-06-16 19:30:15 UTC

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New package GenerateIndexPedigree with initial version 1.0.0
Package: GenerateIndexPedigree
Title: Generate Pedigrees for Index Case Based on US Census Data
Version: 1.0.0
Maintainer: Katelyn Queen <kqueen@mednet.ucla.edu>
Description: A series of functions to generate a pedigree around a given person with a known genetic mutation, based on US census data. Pedigree will also track mutation status of all members. Pedigree is built down to children, back to grandparents, and out to cousins. There is also a function to generate pedigrees without genetic mutations.
License: MIT + file LICENSE
URL: https://github.com/katelynqueen98/GenerateIndexPedigree
Imports: dplyr, stats
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-08 18:17:04 UTC; kqueen
Author: Katelyn Queen [aut, cre, cph] , Kevin Abuhanna [aut] , Paul Spellman [aut, cph]
Repository: CRAN
Date/Publication: 2026-06-16 19:50:13 UTC

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New package easyLSEA with initial version 0.2.1
Package: easyLSEA
Title: Lipid Set Enrichment Analysis with Dual KS and 'fgsea' Engines
Version: 0.2.1
Description: Provides biology-aware lipid set enrichment analysis (LSEA) for lipidomics data using dual engines: the Kolmogorov-Smirnov test and the fast gene set enrichment algorithm from the 'fgsea' package. Annotates lipids into biological groups at three levels (lipid class, LIPID MAPS category, functional category) and tests for coordinated directional shifts between conditions. Includes fatty acid chain analysis with trend plots weighted by lipid abundance (Spearman rank correlation, configurable smoothing), wide-format chain position output (sn-1, sn-2, sn-3, sn-4), annotation confidence filtering, and export utilities for reproducible reporting in CSV, 'Excel', and PDF formats. Vignettes are available in English and Spanish. Methods are based on Subramanian et al. (2005) <doi:10.1073/pnas.0506580102> and Korotkevich et al. (2021) <doi:10.1101/060012>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, withr
Suggests: fgsea, knitr, openxlsx, rmarkdown, spelling, testthat (>= 3.0.0)
URL: https://github.com/DavidGO464/easyLSEA
BugReports: https://github.com/DavidGO464/easyLSEA/issues
LazyData: true
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-06-08 17:35:46 UTC; david_md
Author: David Guardamino Ojeda [aut, cre]
Maintainer: David Guardamino Ojeda <david.guardamino@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-16 19:40:02 UTC

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New package CiteSource with initial version 0.2.1
Package: CiteSource
Title: Data-Driven Search Strategy Development and Evidence Synthesis Reporting
Version: 0.2.1
Date: 2026-06-08
Description: Deduplicates bibliographic citations from multiple sources while preserving customizable metadata, supporting data-driven search strategy development and evidence synthesis reporting. Search results can be analyzed using plots and tables, and imported or exported in 'RIS' and 'CSV' formats. An interactive 'shiny' application is included for exploratory use.
License: GPL (>= 3)
URL: https://eshackathon.github.io/CiteSource/
BugReports: https://github.com/ESHackathon/CiteSource/issues
Imports: dplyr, DT, forcats, ggnewscale, ggplot2, glue, gt, igraph, parallelly, purrr, RecordLinkage, rlang, scales, stringr, tibble, tidyr, tidyselect, UpSetR, utf8
Suggests: bslib, htmltools, jsonlite, knitr, plotly, progressr, rmarkdown, shiny, shinyalert, shinybusy, shinyjs, shinyWidgets, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-06-08 17:44:15 UTC; tnril
Author: Trevor Riley [aut, cre] , Kaitlyn Hair [aut] , Lukas Wallrich [aut] , Matthew Grainger [aut] , Sarah Young [aut] , Chris Pritchard [aut] , Neal Haddaway [aut] , Martin Westgate [cph] , Eliza Grames [cph] , Kaitlyn Hair [cph] , CAMARADES Group [cph] )
Maintainer: Trevor Riley <tnriley@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-16 19:50:19 UTC

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New package CEACT with initial version 0.5.0
Package: CEACT
Title: Cost-Effectiveness Analysis Toolkit for Clinical Trials
Version: 0.5.0
Author: Imad EL BADISY [aut, cre]
Maintainer: Imad EL BADISY <elbadisyimad@gmail.com>
Description: Provides tools for trial-based economic evaluation of healthcare interventions. Computes and visualizes incremental cost-effectiveness ratios, cost-effectiveness acceptability curves, cost-effectiveness planes, net monetary benefit tables, and one-way deterministic sensitivity analyses. Supports cost-utility analyses using observed summaries and non-parametric bootstrap uncertainty.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/ielbadisy/CEACT
BugReports: https://github.com/ielbadisy/CEACT/issues
Depends: R (>= 3.5.0)
Imports: ggplot2, boot
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-08 19:28:28 UTC; imad-el-badisy
Repository: CRAN
Date/Publication: 2026-06-16 20:00:02 UTC

More information about CEACT at CRAN
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Package binspp updated to version 0.2.4 with previous version 0.2.3 dated 2025-12-03

Title: Bayesian Inference for Neyman-Scott Point Processes
Description: The Bayesian MCMC estimation of parameters for Thomas-type cluster point process with various inhomogeneities. It allows for inhomogeneity in (i) distribution of parent points, (ii) mean number of points in a cluster, (iii) cluster spread. The package also allows for the Bayesian MCMC algorithm for the homogeneous generalized Thomas process. The cluster size is allowed to have a variance that is greater or less than the expected value (cluster sizes are over or under dispersed). Details are described in Dvořák, Remeš, Beránek & Mrkvička (2022) <arXiv: 10.48550/arXiv.2205.07946>.
Author: Mrkvicka Tomas [aut], Dvorak Jiri [aut], Beranek Ladislav [aut], Remes Radim [aut, cre], Park Jaewoo [ctb], Lee Sujeong [ctb]
Maintainer: Remes Radim <inrem@jcu.cz>

Diff between binspp versions 0.2.3 dated 2025-12-03 and 0.2.4 dated 2026-06-16

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New package BayesTSM with initial version 1.0.1
Package: BayesTSM
Title: Bayesian Progressive Three State Model with Censoring Due to Intervention
Version: 1.0.1
Description: In screening programs, individuals are usually followed up and tested (screened) for the development of a disease, such as cancer. The target disease often develops progressively in stages; for example healthy (state 1), pre-state disease (state 2), and the disease state (state 3). When the pre-state disease is found during screening it is intervened upon, for example by surgical removal of a lesion, so that the progression of the pre-state disease to disease is interrupted. This is called censoring due to intervention. Researchers often want to estimate the time from baseline to the pre-state disease, the time from the pre-state disease to the disease, and the total time from baseline to the disease. In addition, researchers often want to regress these times on baseline covariates. To these ends, 'BayesTSM' estimates a progressive three-state model with censoring due to intervention using Bayesian estimation methods, as described in Klausch et al. (2023) <doi:10.1214/22-AOAS1669> [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/thomasklausch2/bayestsm
BugReports: https://github.com/thomasklausch2/bayestsm/issues
Encoding: UTF-8
Imports: actuar, coda, doParallel, foreach, graphics, ggplot2, MASS, MCMCpack, mvtnorm, parallel, posterior, Rcpp, rlang, survival
LinkingTo: Rcpp
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, bookdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2026-06-08 19:41:14 UTC; thomas
Author: Thomas Klausch [aut, cre]
Maintainer: Thomas Klausch <t.klausch@amsterdamumc.nl>
Repository: CRAN
Date/Publication: 2026-06-16 20:00:07 UTC

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Package rigr updated to version 1.0.10 with previous version 1.0.9 dated 2026-04-03

Title: Regression, Inference, and General Data Analysis Tools in R
Description: A set of tools to streamline data analysis. Learning both R and introductory statistics at the same time can be challenging, and so we created 'rigr' to facilitate common data analysis tasks and enable learners to focus on statistical concepts. We provide easy-to-use interfaces for descriptive statistics, one- and two-sample inference, and regression analyses. 'rigr' output includes key information while omitting unnecessary details that can be confusing to beginners. Heteroscedasticity-robust ("sandwich") standard errors are returned by default, and multiple partial F-tests and tests for contrasts are easy to specify. A single regression function can fit both linear and generalized linear models, allowing students to more easily make connections between different classes of models.
Author: Amy D Willis [aut, cre] , Taylor Okonek [aut], Charles J Wolock [aut], Brian D Williamson [aut], Scott S Emerson [aut], Andrew J Spieker [aut], Yiqun T Chen [aut], Travis Y Hee Wai [ctb], James P Hughes [ctb], R Core Team [ctb], Akhil S Bhel [ctb], T [...truncated...]
Maintainer: Amy D Willis <adwillis@uw.edu>

Diff between rigr versions 1.0.9 dated 2026-04-03 and 1.0.10 dated 2026-06-16

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Package pvEBayes updated to version 0.3.0 with previous version 0.2.2 dated 2026-03-13

Title: Empirical Bayes Methods for Pharmacovigilance
Description: A suite of empirical Bayes methods to use in pharmacovigilance. Contains various model fitting and post-processing functions. For more details see Tan et al. (2025) <doi:10.1002/sim.70195>, <doi:10.48550/arXiv.2512.01057>; Koenker and Mizera (2014) <doi:10.1080/01621459.2013.869224>; Efron (2016) <doi:10.1093/biomet/asv068>.
Author: Yihao Tan [aut, cre] , Marianthi Markatou [aut] , Saptarshi Chakraborty [aut] , Raktim Mukhopadhyay [aut]
Maintainer: Yihao Tan <yihaotan@buffalo.edu>

Diff between pvEBayes versions 0.2.2 dated 2026-03-13 and 0.3.0 dated 2026-06-16

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Package OmopSketch updated to version 1.1.0 with previous version 1.0.1 dated 2026-02-06

Title: Characterise Tables of an OMOP Common Data Model Instance
Description: Summarises key information in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Assess suitability to perform specific epidemiological studies and explore the different domains to obtain feasibility counts and trends.
Author: Marta Alcalde-Herraiz [aut] , Kim Lopez-Guell [aut] , Elin Rowlands [aut] , Cecilia Campanile [aut, cre] , Edward Burn [aut] , Marti Catala [aut]
Maintainer: Cecilia Campanile <cecilia.campanile@ndorms.ox.ac.uk>

Diff between OmopSketch versions 1.0.1 dated 2026-02-06 and 1.1.0 dated 2026-06-16

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Package animl updated to version 3.3.0 with previous version 3.2.0 dated 2026-02-03

Title: A Collection of ML Tools for Species Detection and Classification in Camera Trap Images and Videos
Description: Functions required to classify subjects within camera trap field data. The package can handle both images and videos. The authors recommend a two-step approach using Microsoft's 'MegaDector' model and then a second model trained on the classes of interest.
Author: Kyra Swanson [aut, cre] , Mathias Tobler [aut]
Maintainer: Kyra Swanson <tswanson@sdzwa.org>

Diff between animl versions 3.2.0 dated 2026-02-03 and 3.3.0 dated 2026-06-16

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Package free1way.docreg updated to version 1.0-1 with previous version 1.0-0 dated 2026-05-22

Title: Additional Documentation and Regression Tests for 'stats::free1way()'
Description: Function 'stats::free1way()' implements semiparametrically efficient population- and permutation-based inference in distribution-free stratified K-sample oneway layouts. This package provides additional documentation, including a detailed description of the implementation, and serves as a home for extensive regression tests.
Author: Torsten Hothorn [aut, cre], Kurt Hornik [aut], Frank E Harrell Jr [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between free1way.docreg versions 1.0-0 dated 2026-05-22 and 1.0-1 dated 2026-06-16

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Package EcoNiche updated to version 1.0.3 with previous version 1.0.2 dated 2026-03-10

Title: Community Niche Position and Width Estimation Tools
Description: Provides methods for estimating species niche position and niche breadth under continuous environmental gradients. The package implements canonical correspondence analysis (CCA), partial CCA (pCCA), generalized additive models (GAM), and Levins' niche breadth metrics for species-level and community-level analyses. Methods are based on ter Braak (1986) <doi:10.2307/1938672>, Okie et al. (2015) <doi:10.1098/rspb.2014.2630>, Feng et al. (2020) <doi:10.1111/mec.15441>, Wood (2017) <doi:10.1201/9781315370279>, and Levins (1968, ISBN:978-0691080628).
Author: Shuotao Zhou [aut, cre], Kai Feng [aut], Ye Deng [aut]
Maintainer: Shuotao Zhou <zhoushuotao@stu.hunau.edu.cn>

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Package depcoeff updated to version 1.0.1 with previous version 0.1.1 dated 2026-01-20

Title: Dependency Coefficients
Description: Functions to compute coefficients measuring the dependence of two or more than two variables. The functions can be deployed to gain information about functional dependencies of the variables with emphasis on monotone functions. The statistics describe how well one response variable can be approximated by a monotone function of other variables. In regression analysis the variable selection is an important issue. In this framework the functions could be useful tools in modeling the regression function. Detailed explanations on the subject can be found in papers Liebscher (2014) <doi:10.2478/demo-2014-0004>; Liebscher (2017) <doi:10.1515/demo-2017-0012>; Liebscher (2021): <https://arfjournals.com/image/catalog/Journals%20Papers/AJSS/No%202%20(2021)/4-AJSS_123-150.pdf>; Liebscher (2021): Kendall regression coefficient. Computational Statistics and Data Analysis 157. 107140.
Author: Eckhard Liebscher [aut, cre]
Maintainer: Eckhard Liebscher <eckhard.liebscher@hs-merseburg.de>

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Package CurricularComplexity updated to version 1.0.2 with previous version 1.0.1 dated 2026-01-08

Title: Toolkit for Analyzing Curricular Complexity
Description: Enables educational researchers and practitioners to calculate the curricular complexity of a plan of study, visualize its prerequisite structure at scale, and conduct customizable analyses. The original tool can be found at <https://curricularanalytics.org>. Additional functions to explore curriculum complexity from the literature are also included.
Author: David Reeping [aut, cre]
Maintainer: David Reeping <reepindp@ucmail.uc.edu>

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Package csmGmm updated to version 0.5.0 with previous version 0.4.0 dated 2025-09-16

Title: Conditionally Symmetric Multidimensional Gaussian Mixture Model
Description: Implements the conditionally symmetric multidimensional Gaussian mixture model (csmGmm) for large-scale testing of composite null hypotheses in genetic association applications such as mediation analysis, pleiotropy analysis, and replication analysis. In such analyses, we typically have J sets of K test statistics where K is a small number (e.g. 2 or 3) and J is large (e.g. 1 million). For each one of the J sets, we want to know if we can reject all K individual nulls. Please see the vignette for a quickstart guide. The paper describing these methods is "Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies" by Sun R, McCaw Z, & Lin X (Journal of the American Statistical Association 2025, <doi:10.1080/01621459.2024.2422124>).
Author: Ryan Sun [aut, cre], Emily Kim [aut]
Maintainer: Ryan Sun <ryansun.work@gmail.com>

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Package tesselle updated to version 1.7.0 with previous version 1.6.0 dated 2025-04-28

Title: Easily Install and Load 'tesselle' Packages
Description: Easy install and load key packages from the 'tesselle' suite in a single step. The 'tesselle' suite is a collection of packages for research and teaching in archaeology. These packages focus on quantitative analysis methods developed for archaeology. The 'tesselle' packages are designed to work seamlessly together and to complement general-purpose and other specialized statistical packages. These packages can be used to explore and analyze common data types in archaeology: count data, compositional data and chronological data. Learn more about 'tesselle' at <https://www.tesselle.org>.
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [art] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package RaceID updated to version 0.4.2 with previous version 0.4.1 dated 2026-06-12

Title: Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data
Description: Application of 'RaceID' allows inference of cell types and prediction of lineage trees by the 'StemID2' algorithm (Herman, J.S., Sagar, Grun D. (2018) <DOI:10.1038/nmeth.4662>). 'VarID2' is part of this package and allows quantification of biological gene expression noise at single-cell resolution (Rosales-Alvarez, R.E., Rettkowski, J., Herman, J.S., Dumbovic, G., Cabezas-Wallscheid, N., Grun, D. (2023) <DOI:10.1186/s13059-023-02974-1>).
Author: Dominic Gruen [aut, cre]
Maintainer: Dominic Gruen <dominic.gruen@gmail.com>

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Package circularEV readmission to version 0.1.2 with previous version 0.1.1 dated 2022-05-13

Title: Extreme Value Analysis for Circular Data
Description: General functions for performing extreme value analysis on a circular domain as part of the statistical methodology in the paper by Konzen, E., Neves, C., and Jonathan, P. (2021). Modeling nonstationary extremes of storm severity: Comparing parametric and semiparametric inference. Environmetrics, 32(4), e2667 <doi:10.1002/env.2667>.
Author: Evandro Konzen [aut, cre]
Maintainer: Evandro Konzen <circularev.r@gmail.com>

This is a re-admission after prior archival of version 0.1.1 dated 2022-05-13

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Package treestats updated to version 1.71.12 with previous version 1.70.11 dated 2026-05-20

Title: Phylogenetic Tree Statistics
Description: Collection of phylogenetic tree statistics, collected throughout the literature. All functions have been written to maximize computation speed. The package includes umbrella functions to calculate all statistics, all balance associated statistics, or all branching time related statistics. Furthermore, the 'treestats' package supports summary statistic calculations on Ltables, provides speed-improved coding of branching times, Ltable conversion and includes algorithms to create intermediately balanced trees. Full description can be found in Janzen (2024) <doi:10.1016/j.ympev.2024.108168>.
Author: Thijs Janzen [cre, aut]
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>

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Package stylo updated to version 0.7.71 with previous version 0.7.7 dated 2026-05-12

Title: Stylometric Multivariate Analyses
Description: Supervised and unsupervised multivariate methods, supplemented by GUI and some visualizations, to perform various analyses in the field of computational stylistics, authorship attribution, etc. For further reference, see Eder et al. (2016), <https://journal.r-project.org/articles/RJ-2016-007/index.html>. You are also encouraged to visit the Computational Stylistics Group's website <https://computationalstylistics.github.io/>, where a reasonable amount of information about the package and related projects are provided.
Author: Maciej Eder [aut, cre], Jan Rybicki [aut], Mike Kestemont [aut], Steffen Pielstroem [aut]
Maintainer: Maciej Eder <maciejeder@gmail.com>

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Package rswipl readmission to version 10.1.9 with previous version 10.1.8 dated 2026-05-29

Title: Embed 'SWI'-'Prolog'
Description: Interface to 'SWI'-'Prolog', <https://www.swi-prolog.org/>. This package is normally not loaded directly, please refer to package 'rolog' instead. The purpose of this package is to provide the 'Prolog' runtime on systems that do not have a software installation of 'SWI'-'Prolog'.
Author: Matthias Gondan [aut, com, cre] , Jan Wielemaker [ctb, cph] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

This is a re-admission after prior archival of version 10.1.8 dated 2026-05-29

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Permanent link

Package RcmdrMisc updated to version 2.10.2 with previous version 2.10.1 dated 2026-01-08

Title: R Commander Miscellaneous Functions
Description: Various statistical, graphics, and data-management functions used by the Rcmdr package in the R Commander GUI for R.
Author: John Fox [aut], Manuel Munoz-Marquez [aut, cre], Robert Muenchen [ctb], Dan Putler [ctb]
Maintainer: Manuel Munoz-Marquez <manuel.munoz@uca.es>

Diff between RcmdrMisc versions 2.10.1 dated 2026-01-08 and 2.10.2 dated 2026-06-16

 DESCRIPTION              |   10 +++++-----
 MD5                      |   18 +++++++++---------
 NEWS                     |    4 ++++
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 R/cv.R                   |    3 ++-
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 man/RcmdrMisc-package.Rd |   18 ++++++------------
 man/cv.Rd                |    4 +++-
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 man/reexports.Rd         |    2 +-
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More information about RcmdrMisc at CRAN
Permanent link

Package MBC updated to version 0.10-8 with previous version 0.10-7 dated 2024-11-12

Title: Multivariate Bias Correction of Climate Model Outputs
Description: Calibrate and apply multivariate bias correction algorithms for climate model simulations of multiple climate variables. Three methods described by Cannon (2016) <doi:10.1175/JCLI-D-15-0679.1> and Cannon (2018) <doi:10.1007/s00382-017-3580-6> are implemented -- (i) MBC Pearson correlation (MBCp), (ii) MBC rank correlation (MBCr), and (iii) MBC N-dimensional PDF transform (MBCn) -- as is the Rank Resampling for Distributions and Dependences (R2D2) method. An additional multivariate rescaling method based on the linear Monge-Kantorovich map for Gaussian optimal transport of dependence structure is also included.
Author: Alex J. Cannon [aut, cre]
Maintainer: Alex J. Cannon <alex.cannon@canada.ca>

Diff between MBC versions 0.10-7 dated 2024-11-12 and 0.10-8 dated 2026-06-16

 DESCRIPTION        |   21 ++++++++++++---------
 MD5                |   16 +++++++++-------
 NAMESPACE          |    3 ++-
 R/MRSmk.R          |only
 README.md          |   46 ++--------------------------------------------
 inst/CITATION      |   34 +++++++---------------------------
 man/MBC-package.Rd |   18 +++++++++++++++---
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 man/QDM.Rd         |    2 +-
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More information about MBC at CRAN
Permanent link

Package geometa updated to version 0.10.0 with previous version 0.9.3 dated 2025-11-22

Title: Tools for Reading and Writing ISO/OGC Geographic Metadata
Description: Provides facilities to read, write and validate geographic metadata defined with ISO TC211 / OGC ISO geographic information metadata standards, and encoded using the ISO 19139 and ISO 19115-3 (XML) standard technical specifications. This includes ISO 19110 (Feature cataloguing), 19115 (dataset metadata), 19119 (service metadata) and 19136 (GML). Other interoperable schemas from the OGC are progressively supported as well, such as the Sensor Web Enablement (SWE) Common Data Model, the OGC GML Coverage Implementation Schema (GMLCOV), or the OGC GML Referenceable Grid (GMLRGRID).
Author: Emmanuel Blondel [aut, cre] , R Consortium [fnd]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between geometa versions 0.9.3 dated 2025-11-22 and 0.10.0 dated 2026-06-16

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 MD5                                             | 1012 ++++++++++++------------
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 R/ISOAbstractSpatialRepresentation.R            |    3 
 R/ISOAbstractSpatialResolution.R                |    3 
 R/ISOAbstractStandardOrderProcess.R             |    3 
 R/ISOAbstractTemporalQuality.R                  |    3 
 R/ISOAbstractTypedDate.R                        |    3 
 R/ISOAddress.R                                  |    5 
 R/ISOAnchor.R                                   |    5 
 R/ISOAngle.R                                    |    5 
 R/ISOApplicationSchemaInformation.R             |    5 
 R/ISOAssociatedResource.R                       |    3 
 R/ISOAssociationType.R                          |    5 
 R/ISOAttributeGroup.R                           |    3 
 R/ISOBand.R                                     |    5 
 R/ISOBaseBoolean.R                              |    5 
 R/ISOBaseCharacterString.R                      |    5 
 R/ISOBaseDate.R                                 |    5 
 R/ISOBaseDateTime.R                             |    5 
 R/ISOBaseDecimal.R                              |    5 
 R/ISOBaseInteger.R                              |    5 
 R/ISOBaseReal.R                                 |    5 
 R/ISOBinary.R                                   |    5 
 R/ISOBoundingPolygon.R                          |    5 
 R/ISOBrowseGraphic.R                            |    5 
 R/ISOCTCodelistValue.R                          |    6 
 R/ISOCellGeometry.R                             |    5 
 R/ISOCharacterSet.R                             |    5 
 R/ISOCitation.R                                 |    5 
 R/ISOClassification.R                           |    5 
 R/ISOCodelist.R                                 |  121 ++
 R/ISOCodelistCatalogue.R                        |    5 
 R/ISOConformanceResult.R                        |    5 
 R/ISOConstraints.R                              |    5 
 R/ISOContact.R                                  |    6 
 R/ISOContentInformation.R                       |    5 
 R/ISOCountry.R                                  |    5 
 R/ISOCoupledResource.R                          |    5 
 R/ISOCouplingType.R                             |    5 
 R/ISOCoverageContentType.R                      |   12 
 R/ISOCoverageDescription.R                      |    5 
 R/ISODCPList.R                                  |    5 
 R/ISODataIdentification.R                       |    5 
 R/ISODataIdentification19115_3.R                |    3 
 R/ISODataIdentification19139.R                  |    3 
 R/ISODataQualityAbstractElement.R               |    5 
 R/ISODataQualityCompleteness.R                  |   15 
 R/ISODataQualityLogicalConsistency.R            |   25 
 R/ISODataQualityPositionalAccuracy.R            |   20 
 R/ISODataQualityScope.R                         |    3 
 R/ISODataQualityTemporalAccuracy.R              |   20 
 R/ISODataQualityThematicAccuracy.R              |   23 
 R/ISODate.R                                     |    5 
 R/ISODateType.R                                 |    5 
 R/ISODescriptiveResult.R                        |    3 
 R/ISODigitalTransferOptions.R                   |    5 
 R/ISODimension.R                                |    5 
 R/ISODimensionNameType.R                        |    5 
 R/ISODistance.R                                 |    5 
 R/ISODistribution.R                             |    5 
 R/ISODistributor.R                              |    5 
 R/ISOEvaluationMethod.R                         |   18 
 R/ISOEvaluationMethodType.R                     |    5 
 R/ISOExtent.R                                   |    5 
 R/ISOFeatureCatalogueDescription.R              |    5 
 R/ISOFeatureType.R                              |    5 
 R/ISOFeatureType19115_3.R                       |    2 
 R/ISOFeatureType19139.R                         |    3 
 R/ISOFeatureTypeInfo.R                          |    3 
 R/ISOFileName.R                                 |    5 
 R/ISOFormat.R                                   |    5 
 R/ISOFreeText.R                                 |    5 
 R/ISOGeographicBoundingBox.R                    |    5 
 R/ISOGeographicDescription.R                    |    5 
 R/ISOGeographicExtent.R                         |    5 
 R/ISOGeometricObjectType.R                      |    5 
 R/ISOGeometricObjects.R                         |    5 
 R/ISOGeorectified.R                             |    5 
 R/ISOGeoreferenceable.R                         |    5 
 R/ISOGridSpatialRepresentation.R                |    5 
 R/ISOIdentification.R                           |    5 
 R/ISOIdentification19115_3.R                    |    3 
 R/ISOIdentification19139.R                      |    3 
 R/ISOImageDescription.R                         |    5 
 R/ISOImageryAcquisitionInformation.R            |    5 
 R/ISOImageryAlgorithm.R                         |    5 
 R/ISOImageryBand.R                              |    5 
 R/ISOImageryBandDefinition.R                    |    5 
 R/ISOImageryContext.R                           |    5 
 R/ISOImageryCoverageDescription.R               |    5 
 R/ISOImageryCoverageResult.R                    |    5 
 R/ISOImageryEnvironmentalRecord.R               |    5 
 R/ISOImageryEvent.R                             |    5 
 R/ISOImageryGCP.R                               |    5 
 R/ISOImageryGCPCollection.R                     |    5 
 R/ISOImageryGeolocationInformation.R            |    5 
 R/ISOImageryGeometryType.R                      |    5 
 R/ISOImageryGeorectified.R                      |    5 
 R/ISOImageryGeoreferenceable.R                  |    5 
 R/ISOImageryImageDescription.R                  |    5 
 R/ISOImageryInstrument.R                        |    5 
 R/ISOImageryMetadata.R                          |    5 
 R/ISOImageryNominalResolution.R                 |    5 
 R/ISOImageryObjective.R                         |    5 
 R/ISOImageryObjectiveType.R                     |    5 
 R/ISOImageryOperation.R                         |    5 
 R/ISOImageryOperationType.R                     |    5 
 R/ISOImageryPlan.R                              |    5 
 R/ISOImageryPlatform.R                          |    5 
 R/ISOImageryPlatformPass.R                      |    5 
 R/ISOImageryPolarisationOrientation.R           |    5 
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 R/ISOImageryProcessStep.R                       |    5 
 R/ISOImageryProcessStepReport.R                 |    5 
 R/ISOImageryProcessing.R                        |    5 
 R/ISOImageryRangeElementDescription.R           |    5 
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 R/ISOImageryRequirement.R                       |    5 
 R/ISOImageryRevision.R                          |    3 
 R/ISOImagerySensor.R                            |    3 
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 R/ISOImagerySequence.R                          |    5 
 R/ISOImagerySource.R                            |    5 
 R/ISOImageryTransferFunctionType.R              |    5 
 R/ISOImageryTrigger.R                           |    5 
 R/ISOImagingCondition.R                         |    5 
 R/ISOIndividual.R                               |    3 
 R/ISOInitiativeType.R                           |    5 
 R/ISOInstrumentationEvent.R                     |    3 
 R/ISOInstrumentationEventList.R                 |    3 
 R/ISOInstrumentationEventType.R                 |    4 
 R/ISOKeywordClass.R                             |    3 
 R/ISOKeywordType.R                              |    5 
 R/ISOKeywords.R                                 |    5 
 R/ISOLanguage.R                                 |    5 
 R/ISOLegalConstraints.R                         |    5 
 R/ISOLength.R                                   |    5 
 R/ISOLineage.R                                  |    5 
 R/ISOLocalName.R                                |    3 
 R/ISOLocale.R                                   |    5 
 R/ISOLocaleContainer.R                          |    5 
 R/ISOLocalisedCharacterString.R                 |    5 
 R/ISOMDFeatureCatalogue.R                       |    3 
 R/ISOMaintenanceFrequency.R                     |    5 
 R/ISOMaintenanceInformation.R                   |    5 
 R/ISOMeasure.R                                  |    5 
 R/ISOMeasureReference.R                         |    3 
 R/ISOMedium.R                                   |    5 
 R/ISOMediumFormat.R                             |    5 
 R/ISOMemberName.R                               |    5 
 R/ISOMetaIdentifier.R                           |    5 
 R/ISOMetadata.R                                 |    5 
 R/ISOMetadataScope.R                            |    4 
 R/ISOMimeFileType.R                             |    5 
 R/ISOMultiplicity.R                             |    5 
 R/ISOMultiplicityRange.R                        |    5 
 R/ISOOnLineFunction.R                           |    5 
 R/ISOOnlineResource.R                           |    5 
 R/ISOOperationChainMetadata.R                   |    5 
 R/ISOOperationMetadata.R                        |    5 
 R/ISOOrganisation.R                             |    3 
 R/ISOParameterDirection.R                       |    3 
 R/ISOPeriodDuration.R                           |    5 
 R/ISOPixelOrientation.R                         |    5 
 R/ISOPortrayalCatalogueReference.R              |    5 
 R/ISOPresentationForm.R                         |    5 
 R/ISOProcessParameter.R                         |    3 
 R/ISOProcessStep.R                              |    5 
 R/ISOProgress.R                                 |    5 
 R/ISOQualityResultFile.R                        |    3 
 R/ISOQuantitativeResult.R                       |    5 
 R/ISORangeDimension.R                           |    5 
 R/ISORecordType.R                               |    5 
 R/ISOReferenceSystem.R                          |    5 
 R/ISOReferenceSystemType.R                      |    3 
 R/ISOReleasability.R                            |    3 
 R/ISORepresentativeFraction.R                   |    5 
 R/ISOResolution.R                               |    5 
 R/ISOResponsibility.R                           |    3 
 R/ISORestriction.R                              |    5 
 R/ISORole.R                                     |    5 
 R/ISOSRVParameter.R                             |    5 
 R/ISOSRVParameterDirection.R                    |    5 
 R/ISOSampleDimension.R                          |    3 
 R/ISOScale.R                                    |    5 
 R/ISOScope.R                                    |    3 
 R/ISOScopeCode.R                                |    5 
 R/ISOScopeDescription.R                         |    5 
 R/ISOScopedName.R                               |    5 
 R/ISOSecurityConstraints.R                      |    5 
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 R/ISOServiceIdentification.R                    |    5 
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 R/ISOStandardOrderProcess.R                     |    5 
 R/ISOTelephone.R                                |    5 
 R/ISOTelephoneType.R                            |    4 
 R/ISOTemporalExtent.R                           |    5 
 R/ISOTopicCategory.R                            |    5 
 R/ISOTopologyLevel.R                            |    5 
 R/ISOTypeName.R                                 |    5 
 R/ISOURI.R                                      |    3 
 R/ISOUnlimitedInteger.R                         |    5 
 R/ISOUomIdentifier.R                            |    3 
 R/ISOUsabilityElement.R                         |    5 
 R/ISOUsage.R                                    |    5 
 R/ISOVectorSpatialRepresentation.R              |    5 
 R/ISOVerticalExtent.R                           |    5 
 R/data_codelists.R                              |only
 README.md                                       |    2 
 data                                            |only
 man/ISOAbsoluteExternalPositionalAccuracy.Rd    |    7 
 man/ISOAbstractAcquisitionInformation.Rd        |    3 
 man/ISOAbstractApplicationSchemaInformation.Rd  |    3 
 man/ISOAbstractCatalogue.Rd                     |    5 
 man/ISOAbstractCitation.Rd                      |    3 
 man/ISOAbstractCompleteness.Rd                  |    5 
 man/ISOAbstractConstraints.Rd                   |    3 
 man/ISOAbstractContentInformation.Rd            |    3 
 man/ISOAbstractDataEvaluation.Rd                |    3 
 man/ISOAbstractDataQuality.Rd                   |    3 
 man/ISOAbstractDistribution.Rd                  |    3 
 man/ISOAbstractExtent.Rd                        |    3 
 man/ISOAbstractFeatureCatalogue.Rd              |    3 
 man/ISOAbstractFeatureType.Rd                   |    3 
 man/ISOAbstractFormat.Rd                        |    3 
 man/ISOAbstractGenericName.Rd                   |    3 
 man/ISOAbstractLineageInformation.Rd            |    3 
 man/ISOAbstractLogicalConsistency.Rd            |    5 
 man/ISOAbstractMDContentInformation.Rd          |    5 
 man/ISOAbstractMaintenanceInformation.Rd        |    3 
 man/ISOAbstractMetadata.Rd                      |    3 
 man/ISOAbstractMetadataExtension.Rd             |    3 
 man/ISOAbstractMetaquality.Rd                   |    3 
 man/ISOAbstractOnlineResource.Rd                |    3 
 man/ISOAbstractParameter.Rd                     |    3 
 man/ISOAbstractPlatform.Rd                      |    3 
 man/ISOAbstractPortrayalCatalogueInformation.Rd |    3 
 man/ISOAbstractPositionalAccuracy.Rd            |    5 
 man/ISOAbstractPropertyType.Rd                  |    3 
 man/ISOAbstractQualityElement.Rd                |    3 
 man/ISOAbstractReferenceSystem.Rd               |    3 
 man/ISOAbstractResourceDescription.Rd           |    3 
 man/ISOAbstractResponsibility.Rd                |    3 
 man/ISOAbstractResult.Rd                        |    5 
 man/ISOAbstractSpatialRepresentation.Rd         |    3 
 man/ISOAbstractSpatialResolution.Rd             |    3 
 man/ISOAbstractStandardOrderProcess.Rd          |    3 
 man/ISOAbstractTemporalAccuracy.Rd              |    5 
 man/ISOAbstractTemporalQuality.Rd               |    3 
 man/ISOAbstractThematicAccuracy.Rd              |    5 
 man/ISOAbstractTypedDate.Rd                     |    3 
 man/ISOAccuracyOfATimeMeasurement.Rd            |    7 
 man/ISOAddress.Rd                               |    7 
 man/ISOAggregationDerivation.Rd                 |    3 
 man/ISOAnchor.Rd                                |    5 
 man/ISOAngle.Rd                                 |    5 
 man/ISOApplicationSchemaInformation.Rd          |    5 
 man/ISOAssociatedResource.Rd                    |    3 
 man/ISOAssociationType.Rd                       |    7 
 man/ISOAttributeGroup.Rd                        |    3 
 man/ISOBand.Rd                                  |    5 
 man/ISOBaseBoolean.Rd                           |    5 
 man/ISOBaseCharacterString.Rd                   |    5 
 man/ISOBaseDate.Rd                              |    5 
 man/ISOBaseDateTime.Rd                          |    5 
 man/ISOBaseDecimal.Rd                           |    5 
 man/ISOBaseInteger.Rd                           |    5 
 man/ISOBaseReal.Rd                              |    5 
 man/ISOBinary.Rd                                |    7 
 man/ISOBoundingPolygon.Rd                       |    5 
 man/ISOBrowseGraphic.Rd                         |    5 
 man/ISOCTCodelistValue.Rd                       |    6 
 man/ISOCellGeometry.Rd                          |    7 
 man/ISOCharacterSet.Rd                          |    5 
 man/ISOCitation.Rd                              |    7 
 man/ISOClassification.Rd                        |    7 
 man/ISOCodelist.Rd                              |   18 
 man/ISOCodelistCatalogue.Rd                     |    5 
 man/ISOCompletenessCommission.Rd                |    7 
 man/ISOCompletenessOmission.Rd                  |    7 
 man/ISOConceptualConsistency.Rd                 |    7 
 man/ISOConfidence.Rd                            |    3 
 man/ISOConformanceResult.Rd                     |    5 
 man/ISOConstraints.Rd                           |    5 
 man/ISOContact.Rd                               |    8 
 man/ISOCountry.Rd                               |    5 
 man/ISOCoupledResource.Rd                       |    5 
 man/ISOCouplingType.Rd                          |    5 
 man/ISOCoverageContentType.Rd                   |   14 
 man/ISOCoverageDescription.Rd                   |    7 
 man/ISODCPList.Rd                               |    7 
 man/ISODataIdentification.Rd                    |    5 
 man/ISODataIdentification19115_3.Rd             |    3 
 man/ISODataIdentification19139.Rd               |    5 
 man/ISODataInspection.Rd                        |    3 
 man/ISODataQualityAbstractElement.Rd            |    5 
 man/ISODataQualityScope.Rd                      |    5 
 man/ISODate.Rd                                  |    5 
 man/ISODateType.Rd                              |    7 
 man/ISODescriptiveResult.Rd                     |    3 
 man/ISODigitalTransferOptions.Rd                |    7 
 man/ISODimension.Rd                             |    7 
 man/ISODimensionNameType.Rd                     |    7 
 man/ISODistance.Rd                              |    5 
 man/ISODistribution.Rd                          |    7 
 man/ISODistributor.Rd                           |    7 
 man/ISODomainConsistency.Rd                     |    7 
 man/ISOEvaluationMethod.Rd                      |    3 
 man/ISOEvaluationMethodType.Rd                  |    7 
 man/ISOExtent.Rd                                |    5 
 man/ISOFeatureCatalogueDescription.Rd           |    7 
 man/ISOFeatureType.Rd                           |    7 
 man/ISOFeatureType19115_3.Rd                    |    4 
 man/ISOFeatureType19139.Rd                      |    5 
 man/ISOFeatureTypeInfo.Rd                       |    3 
 man/ISOFileName.Rd                              |    5 
 man/ISOFormat.Rd                                |    7 
 man/ISOFormatConsistency.Rd                     |    7 
 man/ISOFreeText.Rd                              |    7 
 man/ISOFullInspection.Rd                        |    3 
 man/ISOGeographicBoundingBox.Rd                 |    5 
 man/ISOGeographicDescription.Rd                 |    5 
 man/ISOGeographicExtent.Rd                      |    5 
 man/ISOGeometricObjectType.Rd                   |    5 
 man/ISOGeometricObjects.Rd                      |    5 
 man/ISOGeorectified.Rd                          |    5 
 man/ISOGeoreferenceable.Rd                      |    5 
 man/ISOGridSpatialRepresentation.Rd             |    5 
 man/ISOGriddedDataPositionalAccuracy.Rd         |    7 
 man/ISOHomogeneity.Rd                           |    3 
 man/ISOIdentification.Rd                        |    5 
 man/ISOIdentification19115_3.Rd                 |    3 
 man/ISOIdentification19139.Rd                   |    3 
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 man/ISOImageryAbstractGeolocationInformation.Rd |    5 
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 man/ISOImageryBand.Rd                           |    5 
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 man/ISOImageryCoverageDescription.Rd            |    5 
 man/ISOImageryCoverageResult.Rd                 |    5 
 man/ISOImageryEnvironmentalRecord.Rd            |    5 
 man/ISOImageryEvent.Rd                          |    5 
 man/ISOImageryGCP.Rd                            |    5 
 man/ISOImageryGCPCollection.Rd                  |    5 
 man/ISOImageryGeometryType.Rd                   |    5 
 man/ISOImageryGeorectified.Rd                   |    5 
 man/ISOImageryGeoreferenceable.Rd               |    5 
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 man/ISOImageryInstrument.Rd                     |    5 
 man/ISOImageryMetadata.Rd                       |    5 
 man/ISOImageryNominalResolution.Rd              |    5 
 man/ISOImageryObjective.Rd                      |    5 
 man/ISOImageryObjectiveType.Rd                  |    5 
 man/ISOImageryOperation.Rd                      |    5 
 man/ISOImageryOperationType.Rd                  |    5 
 man/ISOImageryPlan.Rd                           |    5 
 man/ISOImageryPlatform.Rd                       |    5 
 man/ISOImageryPlatformPass.Rd                   |    5 
 man/ISOImageryPolarisationOrientation.Rd        |    5 
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 man/ISOImageryProcessStep.Rd                    |    5 
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 man/ISOImageryRangeElementDescription.Rd        |    5 
 man/ISOImageryRequestedDate.Rd                  |    7 
 man/ISOImageryRequirement.Rd                    |    5 
 man/ISOImageryRevision.Rd                       |    3 
 man/ISOImagerySensor.Rd                         |    3 
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 man/ISOImagerySource.Rd                         |    5 
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 man/ISOKeywordClass.Rd                          |    3 
 man/ISOKeywordType.Rd                           |    7 
 man/ISOKeywords.Rd                              |    7 
 man/ISOLanguage.Rd                              |    7 
 man/ISOLegalConstraints.Rd                      |    7 
 man/ISOLength.Rd                                |    5 
 man/ISOLineage.Rd                               |    7 
 man/ISOLocalName.Rd                             |    3 
 man/ISOLocale.Rd                                |    7 
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 man/ISOMemberName.Rd                            |    5 
 man/ISOMetaIdentifier.Rd                        |    7 
 man/ISOMetadata.Rd                              |    5 
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 man/ISOPresentationForm.Rd                      |    7 
 man/ISOProcessParameter.Rd                      |    3 
 man/ISOProcessStep.Rd                           |    7 
 man/ISOQualityResultFile.Rd                     |    3 
 man/ISOQuantitativeAttributeAccuracy.Rd         |    7 
 man/ISOQuantitativeResult.Rd                    |    7 
 man/ISORangeDimension.Rd                        |    7 
 man/ISORecordType.Rd                            |    5 
 man/ISOReferenceSystem.Rd                       |    7 
 man/ISOReferenceSystemType.Rd                   |    5 
 man/ISORelativeInternalPositionalAccuracy.Rd    |    7 
 man/ISOReleasability.Rd                         |    3 
 man/ISORepresentativeFraction.Rd                |    7 
 man/ISORepresentativity.Rd                      |    3 
 man/ISOResolution.Rd                            |    5 
 man/ISOResponsibility.Rd                        |    3 
 man/ISORestriction.Rd                           |    7 
 man/ISORole.Rd                                  |    7 
 man/ISOSRVParameter.Rd                          |    4 
 man/ISOSRVParameterDirection.Rd                 |    5 
 man/ISOSRVServiceIdentification.Rd              |    6 
 man/ISOSampleBasedInspection.Rd                 |    3 
 man/ISOSampleDimension.Rd                       |    3 
 man/ISOScale.Rd                                 |    5 
 man/ISOScope.Rd                                 |    3 
 man/ISOScopeCode.Rd                             |    5 
 man/ISOScopeDescription.Rd                      |    5 
 man/ISOScopedName.Rd                            |    5 
 man/ISOSecurityConstraints.Rd                   |    7 
 man/ISOSeries.Rd                                |    5 
 man/ISOSource.Rd                                |    7 
 man/ISOSpatialRepresentation.Rd                 |    5 
 man/ISOSpatialRepresentationType.Rd             |    5 
 man/ISOSpatialTemporalExtent.Rd                 |    7 
 man/ISOStandaloneQualityReportInformation.Rd    |    3 
 man/ISOStandardOrderProcess.Rd                  |    5 
 man/ISOStatus.Rd                                |    5 
 man/ISOTelephone.Rd                             |    7 
 man/ISOTelephoneType.Rd                         |    6 
 man/ISOTemporalConsistency.Rd                   |    7 
 man/ISOTemporalExtent.Rd                        |    5 
 man/ISOTemporalValidity.Rd                      |    7 
 man/ISOThematicClassificationCorrectness.Rd     |    7 
 man/ISOTopicCategory.Rd                         |    7 
 man/ISOTopologicalConsistency.Rd                |    7 
 man/ISOTopologyLevel.Rd                         |    7 
 man/ISOTypeName.Rd                              |    5 
 man/ISOURI.Rd                                   |    3 
 man/ISOUnlimitedInteger.Rd                      |    5 
 man/ISOUomIdentifier.Rd                         |    3 
 man/ISOUsabilityElement.Rd                      |    5 
 man/ISOUsage.Rd                                 |    5 
 man/ISOVectorSpatialRepresentation.Rd           |    7 
 man/ISOVerticalExtent.Rd                        |    7 
 man/codelists.Rd                                |only
 man/parseISOCodelists.Rd                        |only
 509 files changed, 716 insertions(+), 2939 deletions(-)

More information about geometa at CRAN
Permanent link

Package CDMConnector updated to version 2.6.0 with previous version 2.5.1 dated 2026-04-03

Title: Connect to an OMOP Common Data Model
Description: Provides tools for working with observational health data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model format with a pipe friendly syntax. Common data model database table references are stored in a single compound object along with metadata.
Author: Ger Inberg [aut, cre] , Adam Black [aut] , Artem Gorbachev [aut], Edward Burn [aut], Marti Catala Sabate [aut], Ioanna Nika [aut]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

Diff between CDMConnector versions 2.5.1 dated 2026-04-03 and 2.6.0 dated 2026-06-16

 CDMConnector-2.5.1/CDMConnector/tests/testthat/_problems               |only
 CDMConnector-2.5.1/CDMConnector/tests/testthat/testthat-problems.rds   |only
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 CDMConnector-2.6.0/CDMConnector/NAMESPACE                              |    6 
 CDMConnector-2.6.0/CDMConnector/NEWS.md                                |    8 
 CDMConnector-2.6.0/CDMConnector/R/cdm.R                                |  126 +++-
 CDMConnector-2.6.0/CDMConnector/R/cohdSimilarConcepts.R                |   12 
 CDMConnector-2.6.0/CDMConnector/R/dbSource.R                           |   62 ++
 CDMConnector-2.6.0/CDMConnector/R/utils.R                              |   74 +-
 CDMConnector-2.6.0/CDMConnector/build/partial.rdb                      |binary
 CDMConnector-2.6.0/CDMConnector/build/vignette.rds                     |binary
 CDMConnector-2.6.0/CDMConnector/inst/doc/a01_getting-started.html      |   72 +-
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Package spatialrisk updated to version 0.8.1 with previous version 0.8.0 dated 2026-05-04

Title: Spatial Concentration and Radius-Based Risk Calculations
Description: Provides methods for spatial concentration and radius-based risk calculations. The package focuses on efficient determination of the sum of observations within a given radius, identifying areas of high local concentration, and aggregating point data to polygon geometries. These methods are useful for applications such as insurance, urban analytics, environmental exposure analysis, and other spatial point pattern workflows. The underlying maximum covering problem is described by Church (1974) <doi:10.1007/BF01942293>.
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>

Diff between spatialrisk versions 0.8.0 dated 2026-05-04 and 0.8.1 dated 2026-06-16

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Package prioritylasso updated to version 0.4.0 with previous version 0.3.1 dated 2023-04-10

Title: Analyzing Multiple Omics Data with an Offset Approach
Description: Fits successive Lasso models for several blocks of (omics) data with different priorities and takes the predicted values as an offset for the next block. Also offers options to deal with block-wise missingness in multi-omics data.
Author: Simon Klau [aut], Roman Hornung [aut, cre], Alina Bauer [aut], Jonas Hagenberg [aut]
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>

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Package dsem updated to version 3.0.0 with previous version 2.0.1 dated 2026-05-14

Title: Dynamic Structural Equation Models
Description: Applies dynamic structural equation models to time-series data with generic and simplified specification for simultaneous and lagged effects. Methods are described in Thorson et al. (2024) "Dynamic structural equation models synthesize ecosystem dynamics constrained by ecological mechanisms."
Author: James Thorson [aut, cre] , Maurice Goodman [ctb] , Wouter van der Bijl [ctb] , Giovanni M. Marchetti [ctr]
Maintainer: James Thorson <James.Thorson@noaa.gov>

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Package smoothbp updated to version 0.2.7 with previous version 0.2.4 dated 2026-06-14

Title: Hierarchical Piecewise Regression with Smoothed Change-Points
Description: Fits Bayesian hierarchical piecewise regression models with multiple logistic-smoothed change-points. Non-linear parameters (change-point locations and transition sharpness) and linear parameters can each be conditioned on covariates and factors via flexible design matrices. A random-intercept structure is supported for any parameter. Spike-and-slab regularization is supported for selecting the number of breakpoints. Posterior inference uses a Metropolis-within-Gibbs sampler implemented in 'Rust' for speed. Methods are based on the smooth transition piecewise regression model of Bacon and Watts (1971) <doi:10.2307/2334389> and variable selection spike-and-slab priors of Kuo and Mallick (1998) <https://www.jstor.org/stable/25053023>.
Author: Aidan D Bindoff [aut, cre]
Maintainer: Aidan D Bindoff <aidan.bindoff@utas.edu.au>

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Package fastcpd updated to version 1.0.0 with previous version 0.16.2 dated 2025-04-25

Title: Fast Change Point Detection via Sequential Gradient Descent
Description: Implements fast change point detection algorithm based on the paper "Sequential Gradient Descent and Quasi-Newton's Method for Change-Point Analysis" by Xianyang Zhang, Trisha Dawn <https://proceedings.mlr.press/v206/zhang23b.html>. The algorithm is based on dynamic programming with pruning and sequential gradient descent. See Li and Zhang (2026) <doi:10.18637/jss.v116.i06> for details.
Author: Xingchi Li [aut, cre, cph] , Xianyang Zhang [aut, cph]
Maintainer: Xingchi Li <anthony.li.stat.tamu.edu@lixingchi.com>

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Package enrichit updated to version 0.1.5 with previous version 0.1.4 dated 2026-04-08

Title: 'C++' Implementations of Functional Enrichment Analysis
Description: Fast implementations of functional enrichment analysis methods using 'C++' via 'Rcpp'. Currently provides Over-Representation Analysis (ORA) and Gene Set Enrichment Analysis (GSEA). The multilevel GSEA algorithm is derived from the 'fgsea' package. Methods are described in Subramanian et al. (2005) <doi:10.1073/pnas.0506580102> and Korotkevich et al. (2021) <doi:10.1101/060012>.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package slideimp updated to version 1.2.0 with previous version 1.1.0 dated 2026-05-01

Title: Numeric Matrices K-NN and PCA Imputation
Description: Fast k-nearest neighbors (K-NN) and principal component analysis (PCA) imputation algorithms for missing values in epigenetic data or other high-dimensional numeric matrices. For PCA, a locally optimal block preconditioned conjugate gradient (LOBPCG) eigensolver with warm starts of both the eigenblock and search direction is also supported. Two complementary imputation strategies are available. Group-wise imputation (e.g., by chromosome) is recommended for Illumina DNA methylation microarrays (e.g., 450K, EPIC) and other matrices with groupable columns. A sliding window approach for K-NN or PCA imputation is recommended only for whole-genome methylation data such as whole-genome bisulfite sequencing (WGBS) or Enzymatic Methyl-seq (EM-seq). The package also supports hyperparameter tuning via repeated cross-validation. The K-NN algorithm is described in: Hastie, T., Tibshirani, R., Sherlock, G., Eisen, M., Brown, P. and Botstein, D. (1999) "Imputing Missing Data for Gene Expression Arra [...truncated...]
Author: Hung Pham [aut, cre, cph] , Posit Software, PBC [cph]
Maintainer: Hung Pham <amser.hoanghung@gmail.com>

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 47 files changed, 2123 insertions(+), 1291 deletions(-)

More information about slideimp at CRAN
Permanent link

Package sdbuildR updated to version 2.0.0 with previous version 1.0.8 dated 2025-11-19

Title: Easily Build, Simulate, and Explore Stock-and-Flow Models
Description: Stock-and-flow models are a computational method from the field of system dynamics. They represent how systems change over time and are mathematically equivalent to ordinary differential equations. 'sdbuildR' (system dynamics builder) provides an intuitive interface for constructing stock-and-flow models without requiring extensive domain knowledge. Models can quickly be simulated and revised, supporting iterative development. 'sdbuildR' simulates models in 'R' and 'Julia', and supports computationally intensive ensemble simulations. Additionally, 'sdbuildR' can import models created in 'Insight Maker' (<https://insightmaker.com/>).
Author: Kyra Caitlin Evers [aut, cre, cph]
Maintainer: Kyra Caitlin Evers <kyra.c.evers@gmail.com>

Diff between sdbuildR versions 1.0.8 dated 2025-11-19 and 2.0.0 dated 2026-06-16

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 225 files changed, 5010 insertions(+), 8080 deletions(-)

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Package punycoder updated to version 1.1.0 with previous version 1.0.0 dated 2026-06-11

Title: Unicode and Punycode Domain Name Processing
Description: High-performance Unicode and Punycode encoding/decoding for internationalized domain names. Provides RFC 3492 compliant conversion functions with a focus on URL processing and data analysis workflows. Addresses limitations in existing R packages for handling international domain names in web scraping and URL parsing applications.
Author: Bart Turczynski [aut, cre]
Maintainer: Bart Turczynski <bartek+punycoder@turczynski.pl>

Diff between punycoder versions 1.0.0 dated 2026-06-11 and 1.1.0 dated 2026-06-16

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Package popdemo updated to version 1.3-4 with previous version 1.3-3 dated 2026-03-09

Title: Demographic Modelling Using Projection Matrices
Description: Tools for modelling populations and demography using matrix projection models, with deterministic and stochastic model implementations. Includes population projection, indices of short- and long-term population size and growth, perturbation analysis, convergence to stability or stationarity, and diagnostic and manipulation tools.
Author: Iain Stott [aut, cre], Dave Hodgson [aut], Stuart Townley [aut], Stephen Ellner [ctb]
Maintainer: Iain Stott <iainmstott@gmail.com>

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Package MOutliers updated to version 0.1.2 with previous version 0.1.1 dated 2026-06-15

Title: Multivariate Outlier Detection Methods
Description: Provides methods for detecting multivariate outliers in numeric datasets. The package implements classical Mahalanobis distance, robust Minimum Covariance Determinant (MCD), and Principal Component Analysis (PCA)-based approaches for outlier detection. The methodology is informed by Aggarwal (2017) <doi:10.1007/978-3-319-47578-3> and Grentzelos, Caroni and Barranco-Chamorro (2020) <doi:10.1002/cmm4.1129>. Visualization functions are included to aid interpretation of detected outliers. Mahalanobis distance calculations are accelerated using 'C++' through 'Rcpp'.
Author: Senuri Yasara [aut, cre], Pavanthi Sudasinghe [aut]
Maintainer: Senuri Yasara <senuriyasara@gmail.com>

Diff between MOutliers versions 0.1.1 dated 2026-06-15 and 0.1.2 dated 2026-06-16

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Package MethScope updated to version 1.0.3 with previous version 1.0.2 dated 2026-06-13

Title: Ultra-Fast Analysis of Sparse DNA Methylome via Recurrent Pattern Encoding
Description: Methods for analyzing DNA methylation data via Most Recurrent Methylation Patterns (MRMPs). Supports cell-type annotation, spatial deconvolution, unsupervised clustering, and cancer cell-of-origin inference. Includes C-backed summaries for YAME “.cg/.cm” files (overlap counts, log2 odds ratios, beta/depth aggregation), an XGBoost classifier, NNLS deconvolution, and plotting utilities. Scales to large spatial and single-cell methylomes and is robust to extreme sparsity.
Author: Hongxiang Fu [aut, cre] , Wanding Zhou [cph, fnd], The SAMtools/HTSlib authors [ctb, cph] , Attractive Chaos [ctb, cph] )
Maintainer: Hongxiang Fu <fhx@seas.upenn.edu>

Diff between MethScope versions 1.0.2 dated 2026-06-13 and 1.0.3 dated 2026-06-16

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Package klassR updated to version 1.0.6 with previous version 1.0.5 dated 2026-02-26

Title: Classifications for Statistics Norway
Description: Functions to search, retrieve, apply and update classification standards and code lists using Statistics Norway's API <https://www.ssb.no/klass> from the system 'KLASS'. Retrieves classifications by date with options to choose language, hierarchical level and formatting.
Author: Susie Jentoft [aut], Diana-Cristina Iancu [aut], Lisa Li [aut], Oeyvind I. Berntsen [aut, cre], Statistics Norway [cph]
Maintainer: Oeyvind I. Berntsen <Oyvind.Berntsen@ssb.no>

Diff between klassR versions 1.0.5 dated 2026-02-26 and 1.0.6 dated 2026-06-16

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Package cash updated to version 1.0.3 with previous version 1.0.2 dated 2026-06-09

Title: Discrete Choice and Competitive Reactions: End-to-End Simulation
Description: Although discrete choice (choice-based conjoint) analysis has become a widely used technique for the elicitation of consumer preferences and hence a foundation for product design, to the best of our knowledge, there exists neither free and open-source nor commercial software that covers the game-theoretic simulation of competitive reactions among firms based on discrete choice models to improve decision making beyond traditional product (line) optimization. The package does not only provide functions to fill this gap but comprises an entire simulation pipeline including the upstream processes of discrete choice analysis itself. It ranges from preference generation, choice design, design assessment, error and response simulation, through hierarchical Bayesian estimation of mixed logit models as well as convergence and model assessment, to Nash equilibrium computation. Doing so, it partly draws from established packages concerned with discrete choice analysis. While its structure general [...truncated...]
Author: Jan H. R. Dressler [aut, cre, cph], Peter Kurz [ths], Winfried J. Steiner [ths]
Maintainer: Jan H. R. Dressler <jhrd13@tu-clausthal.de>

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Package bpvars updated to version 2.0 with previous version 1.0 dated 2025-12-11

Title: Forecasting with Bayesian Panel Vector Autoregressions
Description: Provides Bayesian estimation and forecasting of dynamic panel data using Bayesian Panel Vector Autoregressions with hierarchical prior distributions following the specification by Sanchez-Martinez & Woźniak (2026) <doi:10.48550/arXiv.2606.14143>. The models include country-specific Vector Autoregressions (VARs) that share a global prior distribution that extend the model by Jarociński (2010) <doi:10.1002/jae.1082>. Under this prior expected value, each country's system follows a global VAR with country-invariant parameters. Further flexibility is provided by the hierarchical prior structure that retains the Minnesota prior interpretation for the global VAR and features estimated prior covariance matrices, shrinkage, and persistence levels. Bayesian forecasting is developed for models including exogenous variables, allowing conditional forecasts given the future trajectories of some variables and restricted forecasts assuring that rates are forecasted to stay positive an [...truncated...]
Author: Tomasz Wozniak [aut, cre] , Miguel Sanchez-Martinez [ctb], International Labour Organization [cph]
Maintainer: Tomasz Wozniak <wozniak.tom@pm.me>

Diff between bpvars versions 1.0 dated 2025-12-11 and 2.0 dated 2026-06-16

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 bpvars-2.0/bpvars/NAMESPACE                                                      |    2 
 bpvars-2.0/bpvars/NEWS.md                                                        |    5 
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 bpvars-2.0/bpvars/R/plot.R                                                       |    2 
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 bpvars-2.0/bpvars/src/Makevars                                                   |    2 
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Package baggr updated to version 0.8.2 with previous version 0.8 dated 2026-02-10

Title: Bayesian Aggregate Treatment Effects
Description: Running and comparing meta-analyses of data with hierarchical Bayesian models in Stan, including convenience functions for formatting data, plotting and pooling measures specific to meta-analysis. This implements many models from Meager (2019) <doi:10.1257/app.20170299>.
Author: Witold Wiecek [cre, aut], Rachael Meager [aut], Brice Green [ctb] , Danny Toomey [ctb] , Trustees of Columbia University [cph]
Maintainer: Witold Wiecek <witold.wiecek@gmail.com>

Diff between baggr versions 0.8 dated 2026-02-10 and 0.8.2 dated 2026-06-16

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Package tinytex updated to version 0.60 with previous version 0.59 dated 2026-03-28

Title: Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents
Description: Helper functions to install and maintain the 'LaTeX' distribution named 'TinyTeX' (<https://yihui.org/tinytex/>), a lightweight, cross-platform, portable, and easy-to-maintain version of 'TeX Live'. This package also contains helper functions to compile 'LaTeX' documents, and install missing 'LaTeX' packages automatically.
Author: Yihui Xie [aut, cre, cph] , Posit Software, PBC [cph, fnd], Christophe Dervieux [ctb] , Devon Ryan [ctb] , Ethan Heinzen [ctb], Fernando Cagua [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between tinytex versions 0.59 dated 2026-03-28 and 0.60 dated 2026-06-16

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Package servr updated to version 0.33 with previous version 0.32 dated 2024-10-04

Title: A Simple HTTP Server to Serve Static Files or Dynamic Documents
Description: Start an HTTP server in R to serve static files, or dynamic documents that can be converted to HTML files (e.g., R Markdown) under a given directory.
Author: Yihui Xie [aut, cre] , Carson Sievert [ctb], Jesse Anderson [ctb], Ramnath Vaidyanathan [ctb], Romain Lesur [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Yihui Xie <xie@yihui.name>

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Package rayrender updated to version 0.41.3 with previous version 0.38.10 dated 2025-02-28

Title: Build and Raytrace 3D Scenes
Description: Render scenes using pathtracing. Build 3D scenes out of spheres, cubes, planes, disks, triangles, cones, curves, line segments, cylinders, ellipsoids, and 3D models in the 'Wavefront' OBJ file format or the PLY Polygon File Format. Supports several material types, textures, multicore rendering, and tone-mapping. Based on the "Ray Tracing in One Weekend" book series. Peter Shirley (2018) <https://raytracing.github.io>.
Author: Tyler Morgan-Wall [aut, cph, cre] , Syoyo Fujita [ctb, cph], Vilya Harvey [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

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Package nemsqar updated to version 1.2.1 with previous version 1.2.0 dated 2026-05-12

Title: National Emergency Medical Service Quality Alliance Measure Calculations
Description: Designed to automate the calculation of Emergency Medical Service (EMS) quality metrics, 'nemsqar' implements measures defined by the National EMS Quality Alliance (NEMSQA). By providing reliable, evidence-based quality assessments, the package supports EMS agencies, healthcare providers, and researchers in evaluating and improving patient outcomes. Users can find details on all approved NEMSQA measures at <https://www.nemsqa.org/measures>. Full technical specifications, including documentation and pseudocode used to develop 'nemsqar', are available on the NEMSQA website after creating a user profile at <https://www.nemsqa.org>.
Author: Nicolas Foss [aut, cre], Samuel Kordik [aut] , Alyssa Green [ctb], Iowa Department of Health and Human Services [cph]
Maintainer: Nicolas Foss <nicolas.foss@hhs.iowa.gov>

Diff between nemsqar versions 1.2.0 dated 2026-05-12 and 1.2.1 dated 2026-06-16

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Package forecTheta updated to version 3.0.3 with previous version 3.0 dated 2025-05-20

Title: Forecasting Time Series by Theta Models
Description: Routines for forecasting univariate time series using Theta Models.
Author: Jose Augusto Fiorucci [aut, cre, cph] , Francisco Louzada [aut, cph] , Igor De Oliveira Barros Faluhelyi [aut, ctb]
Maintainer: Jose Augusto Fiorucci <jafiorucci@gmail.com>

Diff between forecTheta versions 3.0 dated 2025-05-20 and 3.0.3 dated 2026-06-16

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Package contentanalysis updated to version 1.1.1 with previous version 1.1.0 dated 2026-05-19

Title: Scientific Content and Citation Analysis from PDF Documents
Description: Provides comprehensive tools for extracting and analyzing scientific content from PDF documents, including citation extraction, reference matching, text analysis, and bibliometric indicators. Supports multi-column PDF layouts, 'CrossRef' API <https://www.crossref.org/documentation/retrieve-metadata/rest-api/> integration, and advanced citation parsing.
Author: Massimo Aria [cre, aut, cph] , Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

Diff between contentanalysis versions 1.1.0 dated 2026-05-19 and 1.1.1 dated 2026-06-16

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Package caroline updated to version 1.0.0 with previous version 0.9.9 dated 2024-10-21

Title: A Collection of Database, Data Structure, Visualization, and Utility Functions for R
Description: The caroline R library contains dozens of functions useful for: database migration (dbWriteTable2), database style joins & aggregation (nerge, groupBy, & bestBy), data structure conversion (nv, tab2df), legend table making (sstable & leghead), automatic legend positioning for scatter and box plots (), plot annotation (labsegs & mvlabs), data visualization (pies, sparge, confound.grid & raPlot), character string manipulation (m & pad), file I/O (write.delim), batch scripting, data exploration, and more. The package's greatest contributions lie in the database style merge, aggregation and interface functions as well as in it's extensive use and propagation of row, column and vector names in most functions.
Author: David Schruth [aut, cre]
Maintainer: David Schruth <code@anthropoidea.org>

Diff between caroline versions 0.9.9 dated 2024-10-21 and 1.0.0 dated 2026-06-16

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Package bookdown updated to version 0.47 with previous version 0.46 dated 2025-12-05

Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie [aut, cre] , Christophe Dervieux [ctb] , JJ Allaire [ctb], Albert Kim [ctb], Alessandro Samuel-Rosa [ctb], Andrzej Oles [ctb], Atsushi Yasumoto [ctb] , Aust Frederik [ctb] , Bastiaan Quast [ctb], Ben Marwick [ctb], Chester Ismay [ctb], Clif [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between bookdown versions 0.46 dated 2025-12-05 and 0.47 dated 2026-06-16

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Package bibliometrix updated to version 5.4.1 with previous version 5.4.0 dated 2026-05-16

Title: Comprehensive Science Mapping Analysis
Description: Tool for quantitative research in scientometrics and bibliometrics. It implements the comprehensive workflow for science mapping analysis proposed in Aria M. and Cuccurullo C. (2017) <doi:10.1016/j.joi.2017.08.007>. 'bibliometrix' provides various routines for importing bibliographic data from 'SCOPUS', 'Clarivate Analytics Web of Science' (<https://www.webofknowledge.com/>), 'Digital Science Dimensions' (<https://www.dimensions.ai/>), 'OpenAlex' (<https://openalex.org/>), 'Cochrane Library' (<https://www.cochranelibrary.com/>), 'Lens' (<https://lens.org>), and 'PubMed' (<https://pubmed.ncbi.nlm.nih.gov/>) databases, performing bibliometric analysis and building networks for co-citation, coupling, scientific collaboration and co-word analysis.
Author: Massimo Aria [cre, aut, cph] , Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

Diff between bibliometrix versions 5.4.0 dated 2026-05-16 and 5.4.1 dated 2026-06-16

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Package nycOpenData (with last version 0.2.1) was removed from CRAN

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

2026-04-11 0.2.1
2026-02-14 0.1.6
2026-01-25 0.1.5
2026-01-21 0.1.4
2026-01-09 0.1.3
2025-11-17 0.1.2

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Package ROCsurf (with last version 0.1.1) was removed from CRAN

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

2024-07-24 0.1.1
2024-07-21 0.1.0

Permanent link
Package loggit (with last version 2.1.1) was removed from CRAN

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

2021-02-28 2.1.1
2020-06-06 2.1.0
2020-05-05 2.0.0
2020-03-16 1.2.0
2018-04-09 1.1.1
2018-02-20 1.0.0

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Mon, 15 Jun 2026

Package nestable updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-28

Title: Collapsible 'HTML' Tables from Hierarchical Data
Description: Creates collapsible, expandable 'HTML' tables from hierarchical data. Supports data frame input with multi-level grouping, custom column formatters, bottom-up rollup aggregation, and CSS-variable-based theming. Works in 'Shiny' applications, R Markdown, 'Quarto', and the 'RStudio' Viewer.
Author: Derek Underwood [aut, cre]
Maintainer: Derek Underwood <dereku@gmail.com>

Diff between nestable versions 0.1.0 dated 2026-04-28 and 0.1.1 dated 2026-06-15

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Package mvalpha updated to version 0.6.0 with previous version 0.5.1 dated 2025-10-17

Title: Krippendorff's Alpha for Multi-Valued Data
Description: Calculate Krippendorff's alpha for multi-valued data using the methods introduced by Krippendorff and Craggs (2016) <doi:10.1080/19312458.2016.1228863>. Nominal, ordinal, interval, and ratio data types are supported, with option to create bootstrapped estimates of alpha.
Author: Corie Drake [aut, cre, cph]
Maintainer: Corie Drake <therealcfdrake@gmail.com>

Diff between mvalpha versions 0.5.1 dated 2025-10-17 and 0.6.0 dated 2026-06-15

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Package crunch updated to version 1.31.2 with previous version 1.31.1 dated 2025-08-19

Title: Crunch.io Data Tools
Description: The Crunch.io service <https://crunch.io/> provides a cloud-based data store and analytic engine, as well as an intuitive web interface. Using this package, analysts can interact with and manipulate Crunch datasets from within R. Importantly, this allows technical researchers to collaborate naturally with team members, managers, and clients who prefer a point-and-click interface.
Author: Greg Freedman Ellis [aut, cre], Jonathan Keane [aut], Mike Malecki [aut], Neal Richardson [aut], Gordon Shotwell [aut], Aljaz Sluga [aut]
Maintainer: Greg Freedman Ellis <greg@crunch.io>

Diff between crunch versions 1.31.1 dated 2025-08-19 and 1.31.2 dated 2026-06-15

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Package cauchypca updated to version 1.4 with previous version 1.3 dated 2024-01-24

Title: Robust Principal Component Analysis Using the Cauchy Distribution
Description: A new robust principal component analysis algorithm is implemented that relies upon the Cauchy Distribution. The algorithm is suitable for high dimensional data even if the sample size is less than the number of variables. The methodology is described in this paper: Fayomi A., Pantazis Y., Tsagris M. and Wood A.T.A. (2024). "Cauchy robust principal component analysis with applications to high-dimensional data sets". Statistics and Computing, 34: 26. <doi:10.1007/s11222-023-10328-x>.
Author: Michail Tsagris [aut, cre], Aisha Fayomi [ctb], Yannis Pantazis [ctb], Andrew T.A. Wood [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between cauchypca versions 1.3 dated 2024-01-24 and 1.4 dated 2026-06-15

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Package tulpaMesh updated to version 0.1.3 with previous version 0.1.1 dated 2026-04-03

Title: Constrained Delaunay Triangulation Meshes for Spatial 'SPDE' Models
Description: Generate constrained Delaunay triangulation meshes for use with stochastic partial differential equation (SPDE) spatial models (Lindgren, Rue and Lindstroem 2011 <doi:10.1111/j.1467-9868.2011.00777.x>). Provides automatic mesh generation from point coordinates with boundary constraints, Ruppert refinement for mesh quality, finite element method (FEM) matrix assembly (mass, stiffness, projection), barrier models, spherical meshes via icosahedral subdivision, and metric graph meshes for network geometries. Built on the 'CDT' header-only C++ library (Amirkhanov 2024 <https://github.com/artem-ogre/CDT>). Designed as the mesh backend for the 'tulpa' Bayesian hierarchical modelling engine but usable standalone for any spatial triangulation task.
Author: Gilles Colling [aut, cre, cph] , Artem Amirkhanov [ctb, cph] ), William C. Lenthe [ctb, cph] )
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between tulpaMesh versions 0.1.1 dated 2026-04-03 and 0.1.3 dated 2026-06-15

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Package ganttify updated to version 0.2.7 with previous version 0.2.5 dated 2026-03-03

Title: Create Interactive Gantt Charts with Work Breakdown Structure
Description: Create Primavera-style interactive Gantt charts with Work Breakdown Structure (WBS) hierarchy and activities. Features include color-coded WBS items, indented labels, scrollable views for large projects, dynamic date formatting, and the ability to dim past activities. Built on top of 'plotly' for interactive visualizations.
Author: Ahmed Aredah [aut, cre]
Maintainer: Ahmed Aredah <Ahmed.Aredah@gmail.com>

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Package Xplortext updated to version 1.6.1 with previous version 1.6 dated 2026-05-14

Title: Statistical Analysis of Textual Data
Description: Provides a set of functions devoted to multivariate exploratory statistics on textual data. Classical methods such as correspondence analysis and agglomerative hierarchical clustering are available. Chronologically constrained agglomerative hierarchical clustering enriched with labelled-by-words trees is offered. Given a division of the corpus into parts, their characteristic words and documents are identified. Further, accessing to 'FactoMineR' functions is very easy. Two of them are relevant in textual domain. MFA() addresses multiple lexical table allowing applications such as dealing with multilingual corpora as well as simultaneously analyzing both open-ended and closed questions in surveys. See <http://xplortext.unileon.es> for examples.
Author: Ramon Alvarez-Esteban [aut, cre] , Monica Becue-Bertaut [aut] , Josep-Anton Sanchez-Espigares [ctb] , Belchin Adriyanov Kostov [ctb]
Maintainer: Ramon Alvarez-Esteban <ramon.alvarez@unileon.es>

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Package movecost updated to version 3.0.0 with previous version 2.2 dated 2026-04-29

Title: Calculation of Slope-Dependant Accumulated Cost Surface, Least-Cost Paths, Least-Cost Corridors, Least-Cost Networks Related to Human Movement Across the Landscape
Description: Provides the facility to calculate non-isotropic accumulated cost surfaces, least-cost paths, least-cost corridors, least-cost networks, ranked alternative paths, cost allocation and cost boundaries, using a number of human-movement-related cost functions that can be selected by the user. The package is built around a compute-once design: a single cost surface object is created first and then reused by every analysis function, avoiding redundant computation. Visualisation is fully decoupled from computation and is provided through 'ggplot2' methods that can be invoked, customised, and re-invoked at any time without re-running any analysis. It just requires a Digital Terrain Model, a start location and (optionally) destination locations. See Alberti (2019) <doi:10.1016/j.softx.2019.100331>.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

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Package sanba updated to version 0.0.4 with previous version 0.0.3 dated 2025-09-24

Title: Fitting Shared Atoms Nested Models via MCMC or Variational Bayes
Description: An efficient tool for fitting nested mixture models based on a shared set of atoms via Markov Chain Monte Carlo and variational inference algorithms. Specifically, the package implements the common atoms model (Denti et al., 2023), its finite version (similar to D'Angelo et al., 2023), and a hybrid finite-infinite model (D'Angelo and Denti, 2026). All models implement univariate nested mixtures with Gaussian kernels equipped with a normal-inverse gamma prior distribution on the parameters. Additional functions are provided to help analyze the results of the fitting procedure. References: Denti, Camerlenghi, Guindani, Mira (2023) <doi:10.1080/01621459.2021.1933499>, D’Angelo, Canale, Yu, Guindani (2023) <doi:10.1111/biom.13626>, D’Angelo, Denti (2026) <doi:10.1214/24-BA1458>.
Author: Francesco Denti [aut, cre, cph] , Laura D'Angelo [aut]
Maintainer: Francesco Denti <francescodenti.personal@gmail.com>

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Package ragtop updated to version 1.2.1 with previous version 1.2.0 dated 2025-07-10

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>

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Package osmdata updated to version 0.4.0 with previous version 0.3.0 dated 2025-08-23

Title: Import 'OpenStreetMap' Data as Simple Features or Spatial Objects
Description: Download and import of 'OpenStreetMap' ('OSM') data as 'sf' or 'sp' objects. 'OSM' data are extracted from the 'Overpass' web server (<https://overpass-api.de/>) and processed with very fast 'C++' routines for return to 'R'.
Author: Joan Maspons [aut, cre] , Mark Padgham [aut], Bob Rudis [aut], Robin Lovelace [aut], Maelle Salmon [aut], Andrew Smith [ctb], James Smith [ctb], Andrea Gilardi [ctb], Enrico Spinielli [ctb], Anthony North [ctb], Martin Machyna [ctb], Marcin Kalicinsk [...truncated...]
Maintainer: Joan Maspons <joanmaspons@gmail.com>

Diff between osmdata versions 0.3.0 dated 2025-08-23 and 0.4.0 dated 2026-06-15

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Package rice updated to version 2.2.0 with previous version 2.1.0 dated 2026-04-09

Title: Radiocarbon Equations
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon-related timescales (cal BP, cal BC/AD, C14 age, F14C, pMC, D14C) and estimating the effects of contamination or local reservoir offsets (Reimer and Reimer 2001 <doi:10.1017/S0033822200038339>). Supporting publication: Blaauw, M., Reimer, P.J., in press. An open-source toolkit for radiocarbon dating and calibration. Radiocarbon. The methods follow long-established recommendations such as Stuiver and Polach (1977) <doi:10.1017/S0033822200003672> and Reimer et al. (2004) <doi:10.1017/S0033822200033154>. This package uses the calibration curves from the data package 'rintcal'.
Author: Maarten Blaauw [aut, cre] , Paula Reimer [ctb] , Vegard Martinsen [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

Diff between rice versions 2.1.0 dated 2026-04-09 and 2.2.0 dated 2026-06-15

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Package refugees updated to version 2025.12.0 with previous version 2025.06.1 dated 2026-03-30

Title: UNHCR Refugee Population Statistics Database
Description: The Refugee Population Statistics Database published by The Office of The United Nations High Commissioner for Refugees (UNHCR) contains information about forcibly displaced populations spanning more than 70 years of statistical activities. It covers displaced populations such as refugees, asylum-seekers and internally displaced people, including their demographics. Stateless people are also included, most of who have never been displaced. The database also reflects the different types of solutions for displaced populations such as repatriation or resettlement. More information on the data and methodology can be found on the UNHCR Refugee Data Finder <https://www.unhcr.org/refugee-statistics/>.
Author: Hisham Galal [aut], Ahmadou Dicko [aut], Janis Kreuder [cre], UNHCR [cph]
Maintainer: Janis Kreuder <kreuder@unhcr.org>

Diff between refugees versions 2025.06.1 dated 2026-03-30 and 2025.12.0 dated 2026-06-15

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Package primarycensored updated to version 1.5.1 with previous version 1.5.0 dated 2026-06-04

Title: Primary Event Censored Distributions
Description: Provides functions for working with primary event censored distributions and 'Stan' implementations for use in Bayesian modeling. Primary event censored distributions are useful for modeling delayed reporting scenarios in epidemiology and other fields (Charniga et al. (2024) <doi:10.48550/arXiv.2405.08841>). It also provides support for arbitrary delay distributions, a range of common primary distributions, and allows for truncation and secondary event censoring to be accounted for (Park et al. (2024) <doi:10.1101/2024.01.12.24301247>). A subset of common distributions also have analytical solutions implemented, allowing for faster computation. In addition, it provides multiple methods for fitting primary event censored distributions to data via optional dependencies.
Author: Sam Abbott [aut, cre, cph] , Sam Brand [aut] , Adam Howes [ctb] , James Mba Azam [aut] , Carl Pearson [aut] , Sebastian Funk [aut] , Kelly Charniga [aut]
Maintainer: Sam Abbott <contact@samabbott.co.uk>

Diff between primarycensored versions 1.5.0 dated 2026-06-04 and 1.5.1 dated 2026-06-15

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Package pkgload updated to version 1.5.3 with previous version 1.5.2 dated 2026-04-22

Title: Simulate Package Installation and Attach
Description: Simulates the process of installing a package and then attaching it. This is a key part of the 'devtools' package as it allows you to rapidly iterate while developing a package.
Author: Hadley Wickham [aut], Winston Chang [aut], Jim Hester [aut], Lionel Henry [aut, cre], Posit Software, PBC [cph, fnd], R Core team [ctb]
Maintainer: Lionel Henry <lionel@posit.co>

Diff between pkgload versions 1.5.2 dated 2026-04-22 and 1.5.3 dated 2026-06-15

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Package odyssey updated to version 1.0.1 with previous version 1.0.0 dated 2026-01-08

Title: Interface to the HAL Open Archive API
Description: An interface to the search API of 'HAL' <https://hal.science/>, the French open archive for scholarly documents from all academic fields. This package provides programmatic access to the API <https://api.archives-ouvertes.fr/docs> and allows to search for records and download documents.
Author: Nicolas Frerebeau [aut, cre] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

Diff between odyssey versions 1.0.0 dated 2026-01-08 and 1.0.1 dated 2026-06-15

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Package GHCNr updated to version 1.4.7 with previous version 1.4.6 dated 2025-10-27

Title: Download Weather Station Data from GHCNd
Description: The goal of 'GHCNr' is to provide a fast and friendly interface with the Global Historical Climatology Network daily (GHCNd) database, which contains daily summaries of weather station data worldwide (<https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily>). GHCNd is accessed through the web API <https://www.ncei.noaa.gov/access/services/data/v1>. 'GHCNr' main functionalities consist of downloading data from GHCNd, filter it, and to aggregate it at monthly and annual scales.
Author: Emilio Berti [aut, cre]
Maintainer: Emilio Berti <emilio.berti@idiv.de>

Diff between GHCNr versions 1.4.6 dated 2025-10-27 and 1.4.7 dated 2026-06-15

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Package ananke updated to version 0.3.0 with previous version 0.2.0 dated 2026-05-07

Title: Quantitative Chronology in Archaeology
Description: Simple radiocarbon calibration and chronological analysis. This package allows the calibration of radiocarbon ages and modern carbon fraction values using multiple calibration curves. It allows the calculation of highest density region intervals and credible intervals. The package also provides tools for visualising results and estimating statistical summaries.
Author: Nicolas Frerebeau [aut, cre] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

Diff between ananke versions 0.2.0 dated 2026-05-07 and 0.3.0 dated 2026-06-15

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New package ringbp with initial version 1.0.0
Package: ringbp
Title: Simulate and Evaluate Targeted Interventions in Infectious Disease Outbreaks
Version: 1.0.0
Description: Branching process simulation model of infectious disease transmission with flexible parameterisation of epidemiology and targeted interventions, including isolation, contact tracing and quarantine, to reduce transmission, together with functions to evaluate outbreak control. Introduced in Hellewell et al. (2020) <doi:10.1016/S2214-109X(20)30074-7>.
License: MIT + file LICENSE
URL: https://epiforecasts.io/ringbp/, https://github.com/epiforecasts/ringbp
BugReports: https://github.com/epiforecasts/ringbp/issues
Depends: R (>= 4.4.0)
Imports: checkmate, data.table, sn
Suggests: future, future.apply, knitr, rmarkdown, roxyglobals (>= 1.0.0), spelling, testthat (>= 3.0.0), tinyplot
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-06-07 21:12:12 UTC; lshjl15
Author: Joel Hellewell [aut] , Sam Abbott [aut] , Amy Gimma [aut], Tim Lucas [aut], Sebastian Funk [aut], Adam Kucharski [aut], Hugo Gruson [ctb] , Carl A. B. Pearson [aut, rev] , Joshua W. Lambert [aut, cre]
Maintainer: Joshua W. Lambert <joshua.lambert@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2026-06-15 13:30:02 UTC

More information about ringbp at CRAN
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New package readimf with initial version 0.1.0
Package: readimf
Title: Access International Monetary Fund Data via the 'SDMX' 3.0 API
Version: 0.1.0
Description: Download macroeconomic and financial statistics from the International Monetary Fund data portal (<https://data.imf.org>), served through an 'SDMX' 3.0 REST API. Provides a tidy interface to the Fund's flagship databases, beginning with the World Economic Outlook, and reads the compact 'SDMX-CSV' representation of each query for fast, dependency-light parsing.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: cli, httr2, jsonlite, utils
Suggests: httptest2, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/charlescoverdale/readimf
BugReports: https://github.com/charlescoverdale/readimf/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-07 14:09:37 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-15 13:10:02 UTC

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Package randotools updated to version 0.2.8 with previous version 0.2.6 dated 2026-03-11

Title: Create Randomization Lists
Description: Randomization lists are an integral component of randomized clinical trials. 'randotools' provides tools to easily create such lists.
Author: Alan G Haynes [aut, cre]
Maintainer: Alan G Haynes <alan.haynes@unibe.ch>

Diff between randotools versions 0.2.6 dated 2026-03-11 and 0.2.8 dated 2026-06-15

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New package metainsight with initial version 7.1.0
Package: metainsight
Version: 7.1.0
Title: A 'shiny' Application for Network Meta-Analysis
Description: Conduct network meta-analyses through a graphical user interface using 'bnma', 'gemtc' and 'netmeta' with additional analysis provided by 'meta' and 'metafor'. Frequentist, Bayesian, meta-regression and baseline risk meta-regression analyses can all be conducted using a consistent data structure and terminology. Many options are provided for downloading publication-ready outputs and analyses can be reproduced outside of the application by downloading a 'quarto' file. The interface was generated using 'shinyscholar'. The initial version of the app was described by Owen et al. (2018) <doi:10.1002/jrsm.1373>, Bayesian ranking visualisations were described by Nevill et al. (2023) <doi:10.1016/j.jclinepi.2023.02.016> and metaregression was described by Morris et al. (2025) <doi:10.1016/j.jclinepi.2025.111839>.
Depends: R (>= 4.1.0)
Imports: bayesplot, bnma (>= 1.4.0), bslib, coda, cookies, DT (>= 0.5), dplyr, gargoyle, gemtc (>= 1.1.1), ggiraphExtra, ggplot2, ggrepel, glue, gt, igraph, jsonlite, knitcitations, knitr, MCMCvis, magick, meta (>= 8.1.0), metafor, mirai (>= 2.0.0), netmeta (>= 3.1.0), patchwork, plotly, quarto, R6, rio, rintrojs, rmarkdown, rsvg, shiny (>= 1.8.1), shinyalert, shinybusy, shinyjs, stringr, shinyWidgets (>= 0.6.0), svglite, tidyr, xml2
Suggests: jsonvalidate, mockery, pdftools, shinytest2, testthat
License: GPL-3
URL:
Encoding: UTF-8
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-06-07 10:37:35 UTC; simon
Author: Alex Sutton [aut, cre], Naomi Bradbury [aut], Ryan Field [aut], Tom Morris [aut], Clareece Nevill [aut], Janion Nevill [aut], Rhiannon Owen [aut], Simon E. H. Smart [aut], Yiqiao Xin [aut], Nicola Cooper [ctb], Suzanne Freeman [ctb]
Maintainer: Alex Sutton <ajs22@leicester.ac.uk>
Repository: CRAN
Date/Publication: 2026-06-15 13:10:07 UTC

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New package leafwax with initial version 0.2.7
Package: leafwax
Title: Bayesian Inversion of Leaf Wax Hydrogen Isotopes to Precipitation
Version: 0.2.7
Description: Bayesian inversion of leaf wax hydrogen isotopes to reconstruct precipitation isotopes using hierarchical spatial models. Provides fourteen Bayesian models that vary in their use of spatial Gaussian processes and ancillary covariates (precipitation amount, plant functional type, C4 fraction). Models are pre-computed using 'Stan' and stored as posterior distributions, so prediction does not require 'Stan' to be installed. A 100-draw fixture ships with the package; full 1000-draw posteriors are downloaded from a versioned 'Zenodo' deposit on first use; see Bradley (2026) <doi:10.5281/zenodo.20085465>.
License: MIT + file LICENSE
URL: https://github.com/bradleylab/leafwax, https://bradleylab.github.io/leafwax/
BugReports: https://github.com/bradleylab/leafwax/issues
Encoding: UTF-8
Language: en-US
Imports: jsonlite, stats, utils
Suggests: rappdirs, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-06-01 17:49:57 UTC; abradley
Author: Alex Bradley [aut, cre]
Maintainer: Alex Bradley <abradley@wustl.edu>
Repository: CRAN
Date/Publication: 2026-06-15 13:40:02 UTC

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New package cdCAT with initial version 0.1.0
Package: cdCAT
Title: Computerized Adaptive Testing with Cognitive Diagnostic Models
Version: 0.1.0
Description: A session-based engine for cognitive diagnostic computerized adaptive testing (CD-CAT), the application of adaptive testing to cognitive diagnosis models. Three models are supported: the deterministic inputs, noisy "and" gate (DINA), the deterministic inputs, noisy "or" gate (DINO), and the generalized DINA (GDINA) model. Item selection criteria include Kullback-Leibler (KL) information, posterior-weighted Kullback-Leibler (PWKL), modified posterior-weighted Kullback-Leibler (MPWKL), and Shannon entropy (SHE). Latent attribute profiles are estimated by maximum likelihood estimation (MLE), maximum a posteriori (MAP), or expected a posteriori (EAP). Content balancing, item exposure control, and shadow testing are configurable through constraint functions. The implemented methods follow Cheng (2009) <doi:10.1007/s11336-009-9123-2> and de la Torre (2011) <doi:10.1007/s11336-011-9207-7>. Designed for real-time, item-by-item adaptive applications.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: R6
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr, GDINA, usethis
URL: https://github.com/thiagofmiranda/cdCAT
BugReports: https://github.com/thiagofmiranda/cdCAT/issues
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-07 23:03:36 UTC; thiag
Author: Thiago Miranda [aut, cre], Bruno Silvestre [aut]
Maintainer: Thiago Miranda <thiagofm.pa@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-15 13:40:08 UTC

More information about cdCAT at CRAN
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New package baytaAAR with initial version 1.0.3
Package: baytaAAR
Title: Bayesian Transition Analysis with Markov Chain Monte Carlo
Version: 1.0.3
Maintainer: Nils Mueller-Scheessel <nils.mueller-scheessel@ufg.uni-kiel.de>
Description: Provides Bayesian age estimation for bioarchaeological skeletal data using ordinal probit regression models implemented in 'JAGS' and 'NIMBLE'. The package is designed to handle multiple ordinal traits of adult individuals and incorporates a Gompertz prior on age to reflect population-level mortality. It accounts for estimation uncertainties and supports full customization of model parameters and Markov Chain Monte Carlo settings. For more details see Müller-Scheeßel et al. (2026) <doi:10.1002/ajpa.70289>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: tidyr, Rdpack, dplyr, scoringRules, ggpubr, flexsurv, coda, checkmate, stats
Suggests: testthat (>= 3.0.0), withr, knitr, rmarkdown, ggplot2, gridExtra, bayesplot, tidybayes, rjags, runjags, ggridges
Depends: R (>= 4.1.0), nimble
VignetteBuilder: knitr
URL: https://github.com/ISAAKiel/baytaAAR, https://isaakiel.github.io/baytaAAR/
BugReports: https://github.com/ISAAKiel/baytaAAR/issues
NeedsCompilation: no
Packaged: 2026-06-08 07:40:40 UTC; Nils
Author: Nils Mueller-Scheessel [aut, cre, cph] , Christoph Rinne [aut]
Repository: CRAN
Date/Publication: 2026-06-15 13:40:15 UTC

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New package semanticfa with initial version 0.1.0
Package: semanticfa
Title: Semantic Factor Analysis of Language Model Embeddings
Version: 0.1.0
Description: Performs exploratory factor analysis on language model embeddings of psychological scale items. Embeds item text with sentence transformers or other language models, transforms the embeddings into item-by-item similarity matrices, and extracts latent factor structure via standard exploratory factor analysis. Supports embedding-adapted parallel analysis, several similarity transforms (atomic reversed, SQuID centering, mean-centered Pearson), and fit diagnostics tailored to embedding matrices (TEFI, RMSR, CAF, McDonald's omega). The underlying methods are documented with full citations in the corresponding function help pages. Returns objects compatible with 'psych' and 'EFAtools' workflows.
License: GPL (>= 3)
URL: https://github.com/devon7y/semanticfa
BugReports: https://github.com/devon7y/semanticfa/issues
Depends: R (>= 4.1.0)
Imports: GPArotation, grDevices, graphics, psych, reticulate (>= 1.41.0), Rtsne, stats, utils, uwot, withr
Suggests: digest, EFAtools, EGAnet, httr2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-07 08:31:29 UTC; devon7y
Author: Devon Yanitski [aut, cre] , Chris Westbury [aut]
Maintainer: Devon Yanitski <dyanitsk@ualberta.ca>
Repository: CRAN
Date/Publication: 2026-06-15 13:00:02 UTC

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Package Rcatch22 updated to version 0.2.5 with previous version 0.2.3 dated 2024-10-02

Title: Calculation of 22 CAnonical Time-Series CHaracteristics
Description: Calculate 22 summary statistics coded in C on time-series vectors to enable pattern detection, classification, and regression applications in the feature space as proposed by Lubba et al. (2019) <doi:10.1007/s10618-019-00647-x>.
Author: Trent Henderson [cre, aut], Carl Lubba [ctb], Maximilian Muecke [ctb]
Maintainer: Trent Henderson <then6675@uni.sydney.edu.au>

Diff between Rcatch22 versions 0.2.3 dated 2024-10-02 and 0.2.5 dated 2026-06-15

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Package rayvertex updated to version 0.15.0 with previous version 0.12.0 dated 2025-02-03

Title: 3D Software Rasterizer
Description: Rasterize images using a 3D software renderer. 3D scenes are created either by importing external files, building scenes out of the included objects, or by constructing meshes manually. Supports point and directional lights, anti-aliased lines, shadow mapping, transparent objects, translucent objects, multiple materials types, reflection, refraction, environment maps, multicore rendering, bloom, tone-mapping, and screen-space ambient occlusion.
Author: Tyler Morgan-Wall [aut, cph, cre] , Syoyo Fujita [ctb, cph], Vilya Harvey [ctb, cph], G-Truc Creation [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between rayvertex versions 0.12.0 dated 2025-02-03 and 0.15.0 dated 2026-06-15

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More information about rayvertex at CRAN
Permanent link

Package NMADTA updated to version 0.1.4 with previous version 0.1.3 dated 2026-04-15

Title: Network Meta-Analysis of Multiple Diagnostic Tests
Description: Provides statistical methods for network meta-analysis of diagnostic tests to simultaneously compare multiple tests within a missing data framework, including: - Bayesian hierarchical model for network meta-analysis of multiple diagnostic tests (Ma, Lian, Chu, Ibrahim, and Chen (2018) <doi:10.1093/biostatistics/kxx025>) - Bayesian Hierarchical Summary Receiver Operating Characteristic Model for Network Meta-Analysis of Diagnostic Tests (Lian, Hodges, and Chu (2019) <doi:10.1080/01621459.2018.1476239>).
Author: Xing Xing [aut, cre] , Boyang Lu [aut], Lifeng Lin [aut], Qinshu Lian [aut], James S. Hodges [aut], Yong Chen [aut], Haitao Chu [aut]
Maintainer: Xing Xing <xxing@arizona.edu>

Diff between NMADTA versions 0.1.3 dated 2026-04-15 and 0.1.4 dated 2026-06-15

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Permanent link

New package lssdoc with initial version 0.1.0
Package: lssdoc
Title: Render Multilingual Questionnaires from 'LimeSurvey' '.lss' Files
Version: 0.1.0
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.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: cli, rlang, xml2
Suggests: flextable, knitr, officer, rmarkdown, testthat (>= 3.0.0), zip
VignetteBuilder: knitr
URL: https://amaltawfik.github.io/lssdoc/, https://github.com/amaltawfik/lssdoc
BugReports: https://github.com/amaltawfik/lssdoc/issues
NeedsCompilation: no
Packaged: 2026-06-07 08:21:58 UTC; at
Author: Amal Tawfik [aut, cre, cph]
Maintainer: Amal Tawfik <amal.tawfik@hesav.ch>
Repository: CRAN
Date/Publication: 2026-06-15 12:10:08 UTC

More information about lssdoc at CRAN
Permanent link

Package glogis updated to version 1.0-3 with previous version 1.0-2 dated 2022-04-19

Title: Fitting and Testing Generalized Logistic Distributions
Description: Tools for the generalized logistic distribution (Type I, also known as skew-logistic distribution), encompassing basic distribution functions (p, q, d, r, score), maximum likelihood estimation, and structural change methods.
Author: Achim Zeileis [aut, cre] , Thomas Windberger [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between glogis versions 1.0-2 dated 2022-04-19 and 1.0-3 dated 2026-06-15

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Package GJRM updated to version 0.2-6.9 with previous version 0.2-6.8 dated 2025-06-23

Title: Generalised Joint Regression Modelling
Description: Routines for fitting various joint (and univariate) regression models, with several types of covariate effects, in the presence of equations' errors association.
Author: Giampiero Marra [aut, cre], Rosalba Radice [aut]
Maintainer: Giampiero Marra <giampiero.marra@ucl.ac.uk>

Diff between GJRM versions 0.2-6.8 dated 2025-06-23 and 0.2-6.9 dated 2026-06-15

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Package echos updated to version 1.0.4 with previous version 1.0.3 dated 2026-02-21

Title: Echo State Networks for Time Series Modeling and Forecasting
Description: Provides a lightweight implementation of functions and methods for fast and fully automatic time series modeling and forecasting using Echo State Networks (ESNs).
Author: Alexander Haeusser [aut, cre, cph]
Maintainer: Alexander Haeusser <alexander-haeusser@gmx.de>

Diff between echos versions 1.0.3 dated 2026-02-21 and 1.0.4 dated 2026-06-15

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Package tmap.networks updated to version 0.2-1 with previous version 0.2 dated 2026-05-09

Title: Extension to 'tmap' for Creating Network Visualizations
Description: Provides functions for visualizing networks with 'tmap'. It supports 'sfnetworks' objects natively but is not limited to them. Useful for adding network layers such as edges and nodes to 'tmap' maps. More features may be added in future versions.
Author: Martijn Tennekes [aut, cre], Andrea Gilardi [aut] , Robin Lovelace [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap.networks versions 0.2 dated 2026-05-09 and 0.2-1 dated 2026-06-15

 DESCRIPTION         |    6 ++--
 MD5                 |   14 +++++-----
 NEWS                |    3 ++
 R/tm_layers_edges.R |   71 ++++++++++++++++++++++++++++++----------------------
 R/tm_layers_nodes.R |   42 ++++++++++++++----------------
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 man/tm_network.Rd   |    2 -
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 8 files changed, 148 insertions(+), 110 deletions(-)

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New package tidycorrgram with initial version 0.1.0
Package: tidycorrgram
Title: Tidy Correlation Matrices and 'ggplot2' Correlograms
Version: 0.1.0
Author: Xinyu Zhang [aut, cre]
Maintainer: Xinyu Zhang <zhangx60@uci.edu>
Description: Computes correlation matrices as tidy data frames and creates publication-ready correlograms with 'ggplot2'. The package is designed for teaching and exploratory analysis workflows where users want one consistent interface for selecting numeric variables, calculating pairwise correlations, optionally estimating p-values, reordering variables, and drawing tile, point, or mixed correlograms.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, stats
URL: https://github.com/zhangx60/tidycorrgram
BugReports: https://github.com/zhangx60/tidycorrgram/issues
NeedsCompilation: no
Packaged: 2026-06-07 05:02:14 UTC; isabelzhang
Repository: CRAN
Date/Publication: 2026-06-15 11:50:02 UTC

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New package power.nb with initial version 0.1.0
Package: power.nb
Title: Power and Sample Size Calculation for Differential Abundance Microbiome Studies
Version: 0.1.0
Description: Provides functions for estimating statistical power and required sample sizes in differential abundance microbiome studies using negative binomial models. The methods are based on Agronah and Bolker (2025) <doi:10.1371/journal.pone.0318820>. The package includes tools for simulation-based power analysis and sample size estimation using generalized additive models (GAMs), and visualization utilities for exploring the relationship between power, effect size, abundance, and sample size.
License: MIT + file LICENSE
URL: https://michaelagronah.com/power.nb/
BugReports: https://github.com/magronah/power.nb/issues
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Imports: DESeq2, fitdistrplus, rlang, minpack.lm,foreach,tibble, purrr, mixtools, scam, ggplot2, ggrastr, metR, DEoptim, latex2exp, parallel,stats,doParallel
Suggests: rmarkdown, knitr, kableExtra, tidyverse, patchwork, dplyr, rlist
NeedsCompilation: no
Packaged: 2026-06-07 01:18:19 UTC; michaelagronah
Author: Michael Agronah [aut, cre] , Ben Bolker [aut]
Maintainer: Michael Agronah <michaelagronah@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-15 11:50:07 UTC

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New package MOutliers with initial version 0.1.1
Package: MOutliers
Title: Multivariate Outlier Detection Methods
Version: 0.1.1
Description: Provides methods for detecting multivariate outliers in numeric datasets. The package implements classical Mahalanobis distance, robust Minimum Covariance Determinant (MCD), and Principal Component Analysis (PCA)-based approaches. Visualization functions are included to aid interpretation of detected outliers. Mahalanobis distance calculations are accelerated using 'C++' through 'Rcpp'.
URL: https://github.com/SenuYasara/Multivariate_Outlier_Detection_R_Package
BugReports: https://github.com/SenuYasara/Multivariate_Outlier_Detection_R_Package/issues
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, stats, MASS, ggplot2, gridExtra, cowplot, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-06-07 06:37:57 UTC; pavan
Author: Senuri Yasara [aut, cre], Pavanthi Sudasinghe [aut]
Maintainer: Senuri Yasara <senuriyasara@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-15 12:00:02 UTC

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New package causalfrag with initial version 0.1.1
Package: causalfrag
Title: Cross-Framework Causal Fragility Index
Version: 0.1.1
Date: 2026-05-30
Description: Provides a unified workflow for running, classifying, visualizing, and interpreting sensitivity analyses for unmeasured confounding across multiple causal frameworks. Introduces the Causal Fragility Index (CFI), a single 0-100 composite score that integrates evidence from the partial R-squared robustness value approach (Cinelli and Hazlett, 2020, <doi:10.1111/rssb.12348>), E-value metrics (VanderWeele and Ding, 2017, <doi:10.7326/M16-2607>), and the Impact Threshold for a Confounding Variable (Frank, 2000, <doi:10.1177/0049124100029002001>) into one interpretable measure of robustness. The package also provides template-based plain-language narrative interpretation and publication-ready reporting, with optional integration with the 'confoundvis' package for sensitivity plots.
License: MIT + file LICENSE
URL: https://github.com/causalfragility-lab/causalfrag
BugReports: https://github.com/causalfragility-lab/causalfrag/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli (>= 3.4.0), rlang (>= 1.0.0), jsonlite (>= 1.8.0), glue (>= 1.6.0)
Suggests: httr2 (>= 1.0.0), confoundvis (>= 0.1.0), sensemakr (>= 0.1.4), EValue (>= 4.1.3), konfound (>= 0.4.0), rbounds (>= 2.1), rmarkdown (>= 2.14), knitr (>= 1.39), testthat (>= 3.0.0), withr (>= 2.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-06 23:32:15 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-06-15 11:50:13 UTC

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Package tmap.mapgl updated to version 0.3 with previous version 0.2-1 dated 2026-05-09

Title: Extensions to 'tmap' with Two New Modes: 'mapbox' and 'maplibre'
Description: The 'tmap' package provides two plotting modes for static and interactive thematic maps. This package extends 'tmap' with two additional modes based on 'Mapbox GL JS' and 'MapLibre GL JS'. These modes feature interactive vector tiles, globe views, and other modern web-mapping capabilities, while maintaining a consistent 'tmap' interface across all plotting modes.
Author: Martijn Tennekes [aut, cre]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap.mapgl versions 0.2-1 dated 2026-05-09 and 0.3 dated 2026-06-15

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 24 files changed, 1571 insertions(+), 571 deletions(-)

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Package tmap.glyphs updated to version 0.2 with previous version 0.1-1 dated 2026-05-09

Title: Extension to 'tmap' for Creating Glyphs
Description: Provides new layer functions to 'tmap' for drawing glyphs. A glyph is a small chart (e.g., donut chart) shown at specific map locations to visualize multivariate or time-series data. The functions work with the syntax of 'tmap' and allow flexible control over size, layout, and appearance.
Author: Martijn Tennekes [aut, cre]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap.glyphs versions 0.1-1 dated 2026-05-09 and 0.2 dated 2026-06-15

 DESCRIPTION              |   14 ++++---
 MD5                      |   26 ++++++-------
 NAMESPACE                |    4 ++
 NEWS                     |    3 +
 R/grob_functions.R       |   14 ++++++-
 R/tm_layer_donuts.R      |   44 ++++++++++++++++++-----
 R/tm_layer_flowers.R     |   44 ++++++++++++++++++-----
 R/tmapGridDonuts.R       |   29 ++++++++++++++-
 R/tmapGridFlowers.R      |   25 ++++++++++++-
 R/tmapScaleComposition.R |    2 -
 R/tmapScaleMulti.R       |    6 ++-
 man/internals_glyphs.Rd  |   88 +++++++++++++++++++++++++++++++++++++++++++++++
 man/tm_donuts.Rd         |   30 +++++++++-------
 man/tm_flowers.Rd        |   40 +++++++++++++++------
 14 files changed, 298 insertions(+), 71 deletions(-)

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Package lisp readmission to version 0.2 with previous version 0.1 dated 2012-01-12

Title: List-Processing à La 'SRFI-1'
Description: Provides list-processing utilities inspired by the 'SRFI-1' list library for Scheme (<https://srfi.schemers.org/srfi-1/srfi-1.html>), including car/cdr family accessors, zip, pairwise, for.each, pair.fold.right and friends. Higher-order helpers that are orthogonal to list processing are deferred to the 'functional' package; this package is freely a mixture of implementation and API.
Author: Peter Danenberg [aut, cre]
Maintainer: Peter Danenberg <pcd@roxygen.org>

This is a re-admission after prior archival of version 0.1 dated 2012-01-12

Diff between lisp versions 0.1 dated 2012-01-12 and 0.2 dated 2026-06-15

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 lisp-0.2/lisp/man/zip.with.names.Rd  |    4 ++++
 10 files changed, 47 insertions(+), 19 deletions(-)

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Package FLightR updated to version 0.5.6 with previous version 0.5.5 dated 2024-07-04

Title: Reconstruct Animal Paths from Solar Geolocation Loggers Data
Description: Spatio-temporal locations of an animal are computed from annotated data with a hidden Markov model via particle filter algorithm. The package is relatively robust to varying degrees of shading. The hidden Markov model is described in Movement Ecology - Rakhimberdiev et al. (2015) <doi:10.1186/s40462-015-0062-5>, general package description is in the Methods in Ecology and Evolution - Rakhimberdiev et al. (2017) <doi:10.1111/2041-210X.12765> and package accuracy assessed in the Journal of Avian Biology - Rakhimberdiev et al. (2016) <doi:10.1111/jav.00891>.
Author: Eldar Rakhimberdiev [aut, cre], Anatoly Saveliev [aut], Julia Karagicheva [aut], Simeon Lisovski [ctb], Johannes de Groeve [ctb]
Maintainer: Eldar Rakhimberdiev <eldar.rakhimberdiev@uva.nl>

Diff between FLightR versions 0.5.5 dated 2024-07-04 and 0.5.6 dated 2026-06-15

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Package dlstats updated to version 0.1.8 with previous version 0.1.7 dated 2023-05-24

Title: Download Stats of R Packages
Description: Monthly download stats of 'CRAN' and 'Bioconductor' packages. Download stats of 'CRAN' packages is from the 'RStudio' 'CRAN mirror', see <https://cranlogs.r-pkg.org:443>. 'Bioconductor' package download stats is at <https://bioconductor.org/packages/stats/>.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package MSCMT updated to version 1.4.4 with previous version 1.4.3 dated 2026-05-26

Title: Multivariate Synthetic Control Method Using Time Series
Description: Three generalizations of the synthetic control method (which has already an implementation in package 'Synth') are implemented: first, 'MSCMT' allows for using multiple outcome variables, second, time series can be supplied as economic predictors, and third, a well-defined cross-validation approach can be used. Much effort has been taken to make the implementation as stable as possible (including edge cases) without losing computational efficiency. A detailed description of the main algorithms is given in Becker and Klößner (2018) <doi:10.1016/j.ecosta.2017.08.002>.
Author: Martin Becker [aut, cre] , Stefan Kloessner [aut], Karline Soetaert [com], Jack Dongarra [cph], R.J. Hanson [cph], K.H. Haskell [cph], Cleve Moler [cph], LAPACK authors [cph]
Maintainer: Martin Becker <martin.becker@mx.uni-saarland.de>

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Package KINSIMU updated to version 0.1.3-2 with previous version 0.1.3 dated 2025-12-19

Title: Panel Evaluation in Forensic Kinship Analysis
Description: Evaluate specific panels in different aspects: i) Simulation tools related to pedigree researches; ii) calculation for systemic effectiveness indicators, such as probability of exclusion (PE).
Author: Guanju Ma [aut, cre], Shujin Li [ctb]
Maintainer: Guanju Ma <guanjuma@hebmu.edu.cn>

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Package capybara updated to version 2.0.0 with previous version 1.8.0 dated 2025-08-27

Title: Fast and Memory Efficient Fitting of Linear Models with High-Dimensional Fixed Effects
Description: Fast and user-friendly estimation of generalized linear models with multiple fixed effects and cluster the standard errors. The method to obtain the estimated fixed-effects coefficients is based on Stammann (2018) <doi:10.48550/arXiv.1707.01815>, Gaure (2013) <doi:10.1016/j.csda.2013.03.024>, Berge (2018) <https://ideas.repec.org/p/luc/wpaper/18-13.html>, and Correia et al. (2020) <doi: 10.1177/1536867X20909691>. This implementation is described in Vargas Sepulveda (2025) <doi:10.1371/journal.pone.0331178>.
Author: Mauricio Vargas Sepulveda [aut, cre] , Joao Santos Silva [ths], Yoto Yotov [ctb]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

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Package akin updated to version 0.3.7 with previous version 0.3.6 dated 2026-06-07

Title: Functional Utilities for Data Processing
Description: Covers several areas of data processing: batch-splitting, reading and writing of large data files, data tiling, one-hot encoding and decoding of data tiles, stratified proportional (random or probabilistic) data sampling, data normalization and thresholding, substring location and commonalities inside strings, and location and tabulation of amino acids, modifications or associated monoisotopic masses inside modified peptides. The extractor implements code from 'Matrix.utils', Varrichio C (2020), <https://cran.r-project.org/package=Matrix.utils>.
Author: Dragos Bandur [aut, cre]
Maintainer: Dragos Bandur <dbandur@sympatico.ca>

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Package TrialSimulator updated to version 1.20.1 with previous version 1.18.4 dated 2026-05-13

Title: Clinical Trial Simulator
Description: Simulate phase II and/or phase III clinical trials. It supports various types of endpoints and adaptive strategies. Tools for carrying out graphical testing procedure and combination test under group sequential design are also provided.
Author: Han Zhang [cre, aut]
Maintainer: Han Zhang <zhangh.ustc@gmail.com>

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Package ppendemic updated to version 0.2.2 with previous version 0.2.1 dated 2026-02-26

Title: A Glimpse at the Diversity of Peru's Endemic Plants
Description: Provides an updated database of accepted endemic plant taxa from Peru. The current collection contains over 8,000 taxonomic records at species and infraspecific ranks. Data are derived from Govaerts, R., Nic Lughadha, E., Black, N. et al., 'The World Checklist of Vascular Plants: A continuously updated resource for exploring global plant diversity', published in Sci Data 8, 215 (2021) <doi:10.1038/s41597-021-00997-6>.
Author: Paul E. Santos Andrade [aut, cre] , Lucely L. Vilca Bustamante [aut]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>

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Package PPCSexRx updated to version 0.1.1 with previous version 0.1.0 dated 2026-06-01

Title: Prescribe Sub-Symptom Exercise for Adolescent Concussion
Description: A clinical decision support system for sub-symptom threshold aerobic exercise (SSTAE) prescription in adolescents with persistent post-concussion symptoms (PPCS). Implements an evidence-based protocol derived from a systematic review of seven studies (Li, 2026; <doi:10.17605/osf.io/kvuf6>), encoding safety screening, Buffalo Concussion Treadmill Test (BCTT)-guided heart rate prescription, session-level progress tracking, and evidence disclosure using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) framework into an open-source tool for athletic trainers and clinicians. Designed to support implementation in resource-limited settings where BCTT equipment may be unavailable. GRADE certainty of evidence: LOW. For clinician use only; not a substitute for clinical judgement.
Author: Guang Li [aut, cre]
Maintainer: Guang Li <contact@guanglab.org>

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Package pipeflow updated to version 0.3.0 with previous version 0.2.3 dated 2025-07-26

Title: Fast Interactive Data Analysis Pipelines
Description: A lightweight and intuitive framework for building interactive data analysis pipelines. You add R functions one by one, and 'pipeflow' wires them into a pipeline that stays consistent as you go. Modify, remove, or insert steps at any stage, manage all parameters in one place, fast execution (C++-powered DAG) for interactive use and Shiny backends.
Author: Roman Pahl [aut, cre]
Maintainer: Roman Pahl <roman.pahl@gmail.com>

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Package multipleOutcomes updated to version 0.18.1 with previous version 0.16.2 dated 2026-05-18

Title: Joint Covariance and Treatment-Effect Tests for Multiple Outcomes
Description: Fits generalized linear models, Cox proportional-hazards models, log-rank tests, generalized estimating equations, mixed models with repeated measures, Kaplan-Meier curves, quantile differences, and hierarchical net-benefit (win-difference) and log win-ratio statistics jointly across multiple endpoints, and returns the full asymptotic covariance matrix linking them. Implements PATED (Prognostic Assisted Treatment Effect Detection), a randomized-trial method that exploits balanced prognostic covariates to tighten standard errors and increase statistical power without introducing bias.
Author: Han Zhang [aut, cre]
Maintainer: Han Zhang <zhangh.ustc@gmail.com>

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Package mpindex updated to version 0.3.0 with previous version 0.2.1 dated 2024-01-09

Title: Multidimensional Poverty Index (MPI) via the Alkire-Foster Method
Description: Estimate Multidimensional Poverty Index (MPI) measures from household survey microdata using the Alkire-Foster dual-cutoff counting method (Alkire and Foster, 2011). Load indicator specifications from CSV, Excel, JSON, or plain-text files; compute the headcount ratio (H), intensity (A), and MPI = H x A across any subgroup; and export results to formatted Excel reports. Supports complex survey designs — stratification, clustering, and probability weights — and optionally appends design-based standard errors and confidence intervals.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>

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Package learningtower updated to version 1.1.1 with previous version 1.1.0 dated 2024-12-21

Title: OECD PISA Datasets from 2000-2022 in an Easy-to-Use Format
Description: The Programme for International Student Assessment (PISA) is a global study conducted by the Organization for Economic Cooperation and Development (OECD) in member and non-member countries to assess educational systems by assessing 15-year-old school students academic performance in mathematics, science, and reading. This datasets contains information on their scores and other socioeconomic characteristics, information about their school and its infrastructure, as well as the countries that are taking part in the program.
Author: Kevin Wang [aut, cre], Paul Yacobellis [aut], Erika Siregar [aut], Sarah Romanes [aut], Kim Fitter [aut], Giulio Valentino Dalla Riva [aut], Dianne Cook [aut], Nick Tierney [aut], Priya Dingorkar [aut], Shabarish Sai Subramanian [aut], Guan Ru Chen [ [...truncated...]
Maintainer: Kevin Wang <kevinwangstats@gmail.com>

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Package h3sdm updated to version 0.1.6 with previous version 0.1.5 dated 2026-06-12

Title: Species Distribution Modeling with H3 Grids
Description: Provides tools for species distribution modeling using H3 hexagonal grids (Uber Technologies Inc., 2022, <https://h3geo.org>). Facilitates retrieval of species occurrence records, generation of H3 grids, computation of landscape metrics, and preparation of spatial data for modern species distribution models workflows. Designed for biodiversity and landscape ecology research.
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>

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Package GeoModels updated to version 2.2.4 with previous version 2.2.3 dated 2026-04-06

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. Se [...truncated...]
Author: Moreno Bevilacqua [aut, cre, cph], Victor Morales-Onate [ctb], Francisco Cuevas-Pacheco [ctb], Christian Caamano-Carrillo [ctb]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

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Package LSMRealOptions (with last version 0.2.1) was removed from CRAN

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

2021-06-26 0.2.1
2021-05-04 0.2.0
2021-01-21 0.1.0

Permanent link
Package FKF.SP (with last version 0.3.4) was removed from CRAN

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

2025-04-16 0.3.4
2024-10-30 0.3.3
2022-10-10 0.3.1
2022-10-05 0.3.0
2022-03-21 0.2.0
2021-11-12 0.1.3
2021-05-04 0.1.2
2021-01-29 0.1.1
2020-12-18 0.1.0

Permanent link
Package robCompositions updated to version 2.6.0 with previous version 2.4.2 dated 2025-08-22

Title: Compositional Data Analysis
Description: Methods for analysis of compositional data including robust methods (<doi:10.1007/978-3-319-96422-5>), imputation of missing values (<doi:10.1016/j.csda.2009.11.023>), methods to replace rounded zeros (<doi:10.1080/02664763.2017.1410524>, <doi:10.1016/j.chemolab.2016.04.011>, <doi:10.1016/j.csda.2012.02.012>), count zeros (<doi:10.1177/1471082X14535524>), methods to deal with essential zeros (<doi:10.1080/02664763.2016.1182135>), (robust) outlier detection for compositional data, (robust) principal component analysis for compositional data, (robust) factor analysis for compositional data, (robust) discriminant analysis for compositional data (Fisher rule), robust regression with compositional predictors, functional data analysis (<doi:10.1016/j.csda.2015.07.007>) and p-splines (<doi:10.1016/j.csda.2015.07.007>), contingency (<doi:10.1080/03610926.2013.824980>) and compositional tables (<doi:10.1111/sjos.12326>, <doi: [...truncated...]
Author: Matthias Templ [aut, cre] , Karel Hron [aut] , Peter Filzmoser [aut] , Kamila Facevicova [ctb], Petra Kynclova [ctb], Jan Walach [ctb], Veronika Pintar [ctb], Jiajia Chen [ctb], Dominika Miksova [ctb], Bernhard Meindl [ctb], Alessandra Menafoglio [ct [...truncated...]
Maintainer: Matthias Templ <matthias.templ@gmail.com>

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Package sasLM updated to version 1.0.0 with previous version 0.10.8 dated 2026-03-08

Title: 'SAS' Linear Model
Description: This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, TTEST, FREQ, and UNIVARIATE. Some R packages provide Type II and Type III SS. However, the results of nested and complex designs are often different from those of 'SAS'. Different results do not necessarily mean incorrectness. However, many want the same results as 'SAS'. This package aims to achieve that. Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).
Author: Kyun-Seop Bae [aut, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between sasLM versions 0.10.8 dated 2026-03-08 and 1.0.0 dated 2026-06-15

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Package ggExametrika updated to version 1.1.1 with previous version 1.1.0 dated 2026-04-17

Title: Visualization of 'exametrika' Output Using 'ggplot2'
Description: Provides 'ggplot2'-based visualization functions for output objects from the 'exametrika' package, which implements test data engineering methods described in Shojima (2022, ISBN:978-981-16-9547-1). Supports a wide range of psychometric models including Item Response Theory, Latent Class Analysis, Latent Rank Analysis, Biclustering (binary, ordinal, and nominal), Bayesian Network Models, and related network models. All plot functions return 'ggplot2' objects that can be further customized by the user.
Author: Koji Kosugi [aut, cre] , Daichi Kamimura [aut]
Maintainer: Koji Kosugi <kosugitti@gmail.com>

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Package DET updated to version 3.0.3 with previous version 3.0.2 dated 2025-08-28

Title: Representation of DET Curve with Confidence Intervals
Description: Builds both ROC (Receiver Operating Characteristic) and DET (Detection Error Tradeoff) curves from a set of predictors that are the results of a binary classification system. The curves give a general view of classifier performance and are useful for comparing different systems.
Author: Garcia-Rodenas, Alvaro [aut], Franco, Manuel [aut], Vivo, Juana-Maria [aut], Fernandez-Breis, Jesualdo T. [aut], Font, Roberto [aut], Curran, James [cre]
Maintainer: "Curran, James" <j.curran@auckland.ac.nz>

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Package deduped updated to version 0.5.0 with previous version 0.4.0 dated 2026-04-02

Title: Making "Deduplicated" Functions
Description: Contains one main function deduped() which speeds up slow, vectorized functions by only performing computations on the unique values of the input and expanding the results at the end.
Author: Or Gadish [aut, cre, cph]
Maintainer: Or Gadish <orgadish@gmail.com>

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Sun, 14 Jun 2026

Package TheseusPlot updated to version 0.3.0 with previous version 0.2.0 dated 2026-04-09

Title: Visualizing Decomposition of Differences in Rate Metrics
Description: Provides tools for decomposing differences in rate metrics between two groups into contributions from individual subgroups and visualizing them as a "Theseus Plot". Inspired by the story of the Ship of Theseus, the method replaces subgroup data from one group with that of another step by step, recalculating the overall metric at each stage to quantify subgroup contributions. A Theseus Plot combines the stepwise progression of a waterfall plot with the comparative bars of a bar chart, offering an intuitive way to understand subgroup-level effects.
Author: Koji Makiyama [aut, cre, cph], Kazuyuki Sano [ctb, wdc], Shinichi Takayanagi [med], Daisuke Ichikawa [exp], LY Corporation Analytics Solution Enhancement Team [spn]
Maintainer: Koji Makiyama <hoxo.smile@gmail.com>

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Package exametrika updated to version 1.14.0 with previous version 1.13.1 dated 2026-05-17

Title: Test Theory Analysis and Biclustering
Description: Implements comprehensive test data engineering methods as described in Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for engineering and processing test data: Classical Test Theory (CTT) with reliability coefficients for continuous ability assessment; Item Response Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank Analysis (LRA) for ordinal clustering with automatic determination of cluster numbers; Biclustering methods including infinite relational models for simultaneous clustering of examinees and items without predefined cluster numbers; and Bayesian Network Models (BNM) for visualizing inter-item dependencies. Features local dependence analysis through LRA and biclustering, parameter estimation, dimensionality assessment, and network structure visualization for educational, psychological, and social science research.
Author: Koji Kosugi [aut, cre]
Maintainer: Koji Kosugi <kosugitti@gmail.com>

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Package pikchr updated to version 1.1.1 with previous version 1.1.0 dated 2026-04-07

Title: R Wrapper for 'pikchr' (PIC) Diagram Language
Description: An 'R' interface to 'pikchr' (<https://pikchr.org>, pronounced "picture"), a 'PIC'-like markup language for creating diagrams within technical documentation. Originally developed by Brian Kernighan, 'PIC' has been adapted into 'pikchr' by D. Richard Hipp, the creator of 'SQLite'. 'pikchr' is designed to be embedded in fenced code blocks of Markdown or other documentation markup languages, making it ideal for generating diagrams in text-based formats. This package allows R users to seamlessly integrate the descriptive syntax of 'pikchr' for diagram creation directly within the 'R' environment.
Author: Andre Leite [aut, cre], Hugo Vaconcelos [aut], Diogo Bezerra [aut], Marcos Wasilew [aut], Carlos Amorin [aut], Richard Hipp [ctb], Brian Kernighan [ctb]
Maintainer: Andre Leite <leite@castlab.org>

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Package ILSAmerge updated to version 1.4.2 with previous version 1.4.0 dated 2026-03-11

Title: Merge and Download International Large-Scale Assessments (ILSA) Data
Description: Merges and downloads 'SPSS' data from different International Large-Scale Assessments (ILSA), including: Trends in International Mathematics and Science Study (TIMSS), Progress in International Reading Literacy Study (PIRLS), and other studies from <https://www.iea.nl/>.
Author: Andres Christiansen [aut, cre]
Maintainer: Andres Christiansen <andres.christiansen@iea-hamburg.de>

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Package dsp updated to version 1.5.0 with previous version 1.4.0 dated 2026-05-12

Title: Dynamic Shrinkage Process and Change Point Detection
Description: Provides efficient Markov chain Monte Carlo (MCMC) algorithms for dynamic shrinkage processes, which extend global-local shrinkage priors to the time series setting by allowing shrinkage to depend on its own past. These priors yield locally adaptive estimates, useful for time series and regression functions with irregular features. The package includes full MCMC implementations for trend filtering using dynamic shrinkage on signal differences, producing locally constant or linear fits with adaptive credible bands. Also included are models with static shrinkage and normal-inverse-Gamma priors for comparison. Additional tools cover dynamic regression with time-varying coefficients and B-spline models with shrinkage on basis differences, allowing for flexible curve-fitting with unequally spaced data. Some support for heteroscedastic errors, outlier detection, and change point estimation. Methods in this package are described in Kowal et al. (2019) <doi:10.1111/rssb.12325>, Wu et al. [...truncated...]
Author: Daniel R. Kowal [aut, cph], Haoxuan Wu [aut], Toryn Schafer [aut, cre] , Jason B. Cho [aut], David S. Matteson [aut]
Maintainer: Toryn Schafer <toryn27@gmail.com>

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Package yrnd updated to version 0.1.4 with previous version 0.1.3 dated 2026-05-15

Title: Extracts Risk Neutral Densities of Prices, Money Market Rates and Government Bond Yields from Interest Rates Futures Options Prices
Description: Provides with parametric Risk Neutral Densities (RNDs) and cumulative densities of futures prices on fixed-income products. It relies on options on Short Term Interest Rate futures or options on government bond futures. It models the futures price as a mixture of lognormal densities. It also provides with the RNDs and cumulative densities of the money market rate or the government bond yield inferred from the futures price, using the RND of the futures price. It eventually provides with the probability attached to each bond in the delivery basket of a government bond futures to be the cheapest at maturity, using the RND of the bond futures price. The package leverages on the works of Melick, W. R. and Thomas, C. P. (1997) <doi:10.2307/2331318> and B. Bahra (1998) <doi:10.2139/ssrn.77429>.
Author: William Arrata [aut, cre]
Maintainer: William Arrata <william.arrata@gmail.com>

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Package speccurvieR updated to version 0.5.0 with previous version 0.4.2 dated 2024-10-09

Title: Easy, Fast, and Pretty Specification Curve Analysis
Description: Making specification curve analysis easy, fast, and pretty. It improves upon existing offerings with additional features and 'tidyverse' integration. Users can easily visualize and evaluate how their models behave under different specifications with a high degree of customization. For a description and applications of specification curve analysis see Simonsohn, Simmons, and Nelson (2020) <doi:10.1038/s41562-020-0912-z>.
Author: Zayne Sember [aut, cre, cph]
Maintainer: Zayne Sember <zayne@mit.edu>

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Package scholidonline updated to version 0.2.0 with previous version 0.1.1 dated 2026-05-14

Title: Resolution, Conversion, Linking and Metadata for Scholarly Identifiers
Description: Enables querying of scholarly identifier services to verify identifier existence, convert identifiers across systems, retrieve bibliographic metadata, and discover linked identifiers. Supports identifier types including DOI, PMID, PMCID, arXiv, ORCID, OpenAlex, ROR, UniProt, and selected NCBI accessions (GEO, BioProject, RefSeq, SRA, and genome assembly).
Author: Thomas Rauter [aut, cre, fnd]
Maintainer: Thomas Rauter <rauterthomas0@gmail.com>

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Package rbenchmark readmission to version 1.0.1 with previous version 1.0.0 dated 2012-08-30

Title: Benchmarking Routine for R
Description: Benchmarking of arbitrary R code, inspired by similar functionality in a Perl module, is implemented via a simple wrapper around system.time(). Given a specification of the benchmarking process (counts of replications, evaluation environment) and an arbitrary number of expressions, the function evaluates each of the expressions in the specified environment, replicating the evaluation as many times as specified, and returning the results conveniently wrapped into a data frame.
Author: Wacek Kusnierczyk [aut], Dirk Eddelbuettel [aut, cre] , Berend Hasselman [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

This is a re-admission after prior archival of version 1.0.0 dated 2012-08-30

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Package evolution updated to version 0.1.1 with previous version 0.1.0 dated 2026-02-27

Title: A Client for 'Evolution Cloud API'
Description: Provides an 'R' interface to the 'Evolution API' <https://evoapicloud.com>, enabling sending and receiving 'WhatsApp' messages directly from 'R'. Functions include sending text, media (image/video/document), audio, stickers, geographic locations, contacts, polls, interactive lists and button messages. Also includes number verification and structured CLI logging for debugging.
Author: Andre Leite [aut, cre], Hugo Vasconcelos [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package courieR updated to version 0.3.1 with previous version 0.2.2 dated 2026-06-04

Title: Migrate Installed R Packages Between R Versions
Description: Detects all R installations on the current machine and migrates installed R packages between them. Provides find_routes() to discover R versions, manifest() to scan package libraries in a child R process, inventory() to compare two libraries, and ship() to install packages into a target R version using 'pak'. Includes a Shiny dashboard (open_hub()) for interactive source-to-target migration.
Author: Lennon Li [aut, cre] , Claude Fable [ctb] ), Claude Opus [ctb] ), Claude Sonnet [ctb] ), OpenAI Codex [ctb] )
Maintainer: Lennon Li <yeli@biostats.ai>

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Package cardargus updated to version 0.2.4 with previous version 0.2.3 dated 2026-06-14

Title: Generate SVG Information Cards with Embedded Fonts and Badges
Description: Create self-contained SVG information cards with embedded 'Google Fonts', shields-style badges, and custom logos. Cards are fully portable SVG files ideal for dashboards, reports, and web applications. Includes functions to export cards to PNG format and display them in 'R Markdown' and 'Quarto' documents.
Author: Andre Leite [aut, cre], Hugo Vasconcelos [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package ggnormalviolin updated to version 0.3.0 with previous version 0.2.1 dated 2025-03-29

Title: A 'ggplot2' Extension to Make Normal Violin Plots
Description: Uses 'ggplot2' to create normally distributed violin plots with specified means and standard deviations. This function can be useful in showing hypothetically normal distributions and confidence intervals.
Author: W. Joel Schneider [aut, cre]
Maintainer: W. Joel Schneider <w.joel.schneider@gmail.com>

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Package nmfkc updated to version 0.8.2 with previous version 0.7.3 dated 2026-05-13

Title: Non-Negative Matrix Factorization with Kernel Covariates
Description: Performs Non-negative Matrix Factorization (NMF) with Kernel Covariates. Given an observation matrix and kernel covariates, it optimizes both a basis matrix and a parameter matrix. Notably, if the kernel matrix is an identity matrix, the method simplifies to standard NMF. Also provides NMF with Random Effects (NMF-RE) via nmfre(), which estimates a mixed-effects model combining covariate-driven scores with unit-specific random effects together with wild bootstrap inference, and NMF-based Structural Equation Modeling (NMF-SEM) via nmf.sem(), which fits a two-block input-output model for blind source separation and path analysis. References: Satoh (2025) <doi:10.48550/arXiv.2403.05359>; Satoh (2025) <doi:10.48550/arXiv.2510.10375>; Satoh (2025) <doi:10.48550/arXiv.2512.18250>; Satoh (2026) <doi:10.48550/arXiv.2603.01468>; Satoh (2026) <doi:10.1007/s42081-025-00314-0>.
Author: Kenichi Satoh [aut, cre]
Maintainer: Kenichi Satoh <kenichi-satoh@biwako.shiga-u.ac.jp>

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Package coconots updated to version 2.0.3 with previous version 2.0.2 dated 2025-08-22

Title: Convolution-Closed Models for Count Time Series
Description: Useful tools for fitting, validating, and forecasting of practical convolution-closed time series models for low counts are provided. Marginal distributions of the data can be modelled via Poisson and Generalized Poisson innovations. Regression effects can be incorporated through time varying innovation rates. The models are described in Jung and Tremayne (2011) <doi:10.1111/j.1467-9892.2010.00697.x> and the model assessment tools are presented in Czado et al. (2009) <doi:10.1111/j.1541-0420.2009.01191.x> and, Tsay (1992) <doi:10.2307/2347612>.
Author: Manuel Huth [aut, cre], Robert C. Jung [aut], Andy Tremayne [aut]
Maintainer: Manuel Huth <manuel.huth@yahoo.com>

Diff between coconots versions 2.0.2 dated 2025-08-22 and 2.0.3 dated 2026-06-14

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More information about coconots at CRAN
Permanent link

Package tmap updated to version 4.4 with previous version 4.3 dated 2026-04-20

Title: Thematic Maps
Description: Thematic maps are geographical maps in which spatial data distributions are visualized. This package offers a flexible, layer-based, and easy to use approach to create thematic maps, such as choropleths and bubble maps.
Author: Martijn Tennekes [aut, cre], Jakub Nowosad [ctb], Joel Gombin [ctb], Sebastian Jeworutzki [ctb], Kent Russell [ctb], Richard Zijdeman [ctb], John Clouse [ctb], Robin Lovelace [ctb], Jannes Muenchow [ctb], Olivier Roy [ctb], Edzer Pebesma [ctb], Hugh [...truncated...]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap versions 4.3 dated 2026-04-20 and 4.4 dated 2026-06-14

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More information about tmap at CRAN
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Package SmokingHistoryGenerator updated to version 7.0.0 with previous version 6.5.3-1.0.1 dated 2026-06-12

Title: R Package for the Smoking History Generator
Description: Efficient R interface to the Cancer Intervention and Surveillance Modeling Network (CISNET) Smoking History Generator microsimulation engine, which synthesizes individual smoking histories (initiation, cessation, intensity) and ages at death from calibrated initiation, cessation, cigarettes-per-day, and mortality tables. The wrapper exposes fixed-cohort and population data-frame simulation, multi-threaded segmentation, reproducible pseudo-random streams (L'Ecuyer RngStream MRG32k3a or Matsumoto--Nishimura Mersenne Twister), legacy CLI-style configuration files, and portable YAML configuration save/load with optional split smoking and mortality parameter bundles. Methods follow Jeon et al. (2012) <doi:10.1111/j.1539-6924.2011.01775.x>. Random number generators: Matsumoto and Nishimura (1998) <doi:10.1145/272991.272995>; L'Ecuyer (1999) <doi:10.1287/opre.47.1.159>; L'Ecuyer et al. (2002) <doi:10.1287/opre.50.6.1073.358>.
Author: John Clarke [aut, cre] , Ben Racine [aut] , Martin Krapcho [aut] , Alexander Gaenko [aut] , Makoto Matsumoto [ctb, cph] ; copyright notice in source), Takuji Nishimura [ctb, cph] ; copyright notice in source), Pierre L'Ecuyer [ctb, cph] ; copyright n [...truncated...]
Maintainer: John Clarke <john.clarke@cornerstonenw.com>

Diff between SmokingHistoryGenerator versions 6.5.3-1.0.1 dated 2026-06-12 and 7.0.0 dated 2026-06-14

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More information about SmokingHistoryGenerator at CRAN
Permanent link

Package pmetar updated to version 0.7.1 with previous version 0.7.0 dated 2026-01-15

Title: Processing METAR Weather Reports
Description: Allows to download current and historical METAR weather reports extract and parse basic parameters and present main weather information. Current reports are downloaded from Aviation Weather Center <https://aviationweather.gov/data/metar/> and historical reports from Iowa Environmental Mesonet web page of Iowa State University ASOS-AWOS-METAR <http://mesonet.agron.iastate.edu/AWOS/>.
Author: Pawel Cwiek [aut, cre], David Megginson [ctb] , Greg Thompson [ctb]
Maintainer: Pawel Cwiek <prc.altodato@gmail.com>

Diff between pmetar versions 0.7.0 dated 2026-01-15 and 0.7.1 dated 2026-06-14

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More information about pmetar at CRAN
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Package ACEP updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-14

Title: Análisis Computacional de Eventos de Protesta
Description: La librería 'ACEP' contiene funciones específicas para desarrollar análisis computacional de eventos de protesta. Asimismo, contiene bases de datos con colecciones de notas sobre protestas y diccionarios de palabras conflictivas. La colección de diccionarios reune diccionarios de diferentes orígenes. The 'ACEP' library contains specific functions to perform computational analysis of protest events. It also contains a database with collections of notes on protests and dictionaries of conflicting words. Collection of dictionaries that brings together dictionaries from different sources.
Author: Agustin Nieto [aut, cre]
Maintainer: Agustin Nieto <agustin.nieto77@gmail.com>

Diff between ACEP versions 0.1.1 dated 2026-05-14 and 0.1.2 dated 2026-06-14

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Package zarr updated to version 0.4.1 with previous version 0.4.0 dated 2026-05-28

Title: Native and Extensible R Driver for 'Zarr'
Description: The 'Zarr' specification is widely used to build libraries for the storage and retrieval of n-dimensional array data from data stores ranging from local file systems to the cloud. This package is a native 'Zarr' implementation in R with support for all required features of 'Zarr' version 3. It is designed to be extensible such that new stores, codecs and extensions can be added easily.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

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Package smoothbp updated to version 0.2.4 with previous version 0.2.2 dated 2026-06-02

Title: Hierarchical Piecewise Regression with Smoothed Change-Points
Description: Fits Bayesian hierarchical piecewise regression models with multiple logistic-smoothed change-points. Non-linear parameters (change-point locations and transition sharpness) and linear parameters can each be conditioned on covariates and factors via flexible design matrices. A random-intercept structure is supported for any parameter. Spike-and-slab regularization is supported for selecting the number of breakpoints. Posterior inference uses a Metropolis-within-Gibbs sampler implemented in 'Rust' for speed. Methods are based on the smooth transition piecewise regression model of Bacon and Watts (1971) <doi:10.2307/2334389> and variable selection spike-and-slab priors of Kuo and Mallick (1998) <https://www.jstor.org/stable/25053023>.
Author: Aidan D Bindoff [aut, cre]
Maintainer: Aidan D Bindoff <aidan.bindoff@utas.edu.au>

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Package RMark updated to version 3.0.8 with previous version 3.0.7 dated 2026-01-31

Title: R Code for Mark Analysis
Description: An interface to the software package MARK that constructs input files for MARK and extracts the output. MARK was developed by Gary White and is freely available at <http://www.phidot.org/software/mark/downloads/> but is not open source.
Author: Jeff Laake [cre, aut], Eldar Rakhimberdiev [ctb], Ben Augustine [ctb], Daniel Turek [ctb], Brett McClintock [ctb], Jim Hines [ctb], analysis from Bret Collier [ctb], Jay Rotella [ctb], David Pavlacky [ctb], Andrew Paul [aut], Luke Eberhart- Phillips [...truncated...]
Maintainer: Jeff Laake <jefflaake@gmail.com>

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Package joineRML updated to version 0.4.8 with previous version 0.4.7 dated 2025-02-04

Title: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes
Description: Fits the joint model proposed by Henderson and colleagues (2000) <doi:10.1093/biostatistics/1.4.465>, but extended to the case of multiple continuous longitudinal measures. The time-to-event data is modelled using a Cox proportional hazards regression model with time-varying covariates. The multiple longitudinal outcomes are modelled using a multivariate version of the Laird and Ware linear mixed model. The association is captured by a multivariate latent Gaussian process. The model is estimated using a Monte Carlo Expectation Maximization algorithm. This project was funded by the Medical Research Council (Grant number MR/M013227/1).
Author: Graeme L. Hickey [cre, aut] , Pete Philipson [aut] , Andrea Jorgensen [ctb] , Ruwanthi Kolamunnage-Dona [aut] , Paula Williamson [ctb] , Dimitris Rizopoulos [ctb, dtc] , Alessandro Gasparini [aut] , Medical Research Council [fnd]
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>

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Package DT2 updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-04

Title: 'DataTables' 2.x for R
Description: A modern R binding for 'DataTables' V2 with modular extension loading, 'Bootstrap 5' styling, 'Shiny' integration (proxy, events, inline inputs), server-side processing helpers, and standalone (non-Shiny) support. Configure 'DataTables' options directly via R lists, a 1:1 mapping to the 'JavaScript' API.
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorin [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Sat, 13 Jun 2026

Package hyper.gam updated to version 0.3.1 with previous version 0.3.0 dated 2026-05-17

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(). The 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.
Author: Tingting Zhan [aut, cre] , Erjia Cui [ctb]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package groupedHyperframe updated to version 0.4.2 with previous version 0.4.1 dated 2026-05-19

Title: Grouped Hyper Data Frame
Description: To aggregate a hyper data frame, defined in the package 'spatstat.geom', according to a grouping structure. To facilitate downstream analysis based on a "grouped" hyper data frame. The 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.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package tokenizers.bpe updated to version 0.1.6 with previous version 0.1.5 dated 2026-05-20

Title: Byte Pair Encoding Text Tokenization
Description: Unsupervised text tokenizer focused on computational efficiency. Wraps the 'YouTokenToMe' library <https://github.com/VKCOM/YouTokenToMe> which is an implementation of fast Byte Pair Encoding (BPE) <https://aclanthology.org/P16-1162/>.
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , VK.com [cph], Gregory Popovitch [ctb, cph] , The Abseil Authors [ctb, cph] , Ivan Belonogov [ctb, cph] )
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package triplediff updated to version 0.2.4 with previous version 0.2.0 dated 2026-01-15

Title: Triple-Difference Estimators
Description: Implements triple-difference (DDD) estimators for both average treatment effects and event-study parameters. Methods include regression adjustment, inverse-probability weighting, and doubly-robust estimators, all of which rely on a conditional DDD parallel-trends assumption and allow covariate adjustment across multiple pre- and post-treatment periods. The methodology is detailed in Ortiz-Villavicencio and Sant'Anna (2025) <doi:10.48550/arXiv.2505.09942>.
Author: Marcelo Ortiz-Villavicencio [aut, cre], Pedro H. C. Sant'Anna [aut]
Maintainer: Marcelo Ortiz-Villavicencio <marcelo.ortiz@emory.edu>

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Package dataseries updated to version 1.0.0 with previous version 0.2.0 dated 2017-04-29

Title: Switzerland's Data Series in One Place
Description: Download and import open Swiss economic time series from 'dataseries.org' <https://dataseries.org>, a comprehensive and up-to-date collection of public data from Switzerland. Series are retrieved through the public 'dataseries.org' API and imported as a 'data.frame' or 'ts' object.
Author: Christoph Sax [aut, cre], Jannes Muenchow [ctb]
Maintainer: Christoph Sax <christoph.sax@gmail.com>

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Package TrackTrap updated to version 1.0.0 with previous version 0.1.0 dated 2026-05-20

Title: Model Cumulative Growing Degree-Days for Pest Monitoring
Description: Pest monitoring is crucial, especially during the early season, to understand the distribution and the proliferation of the target pest. Raw count data from pest monitoring/traps can be coupled with environmental variables such as temperature, growing degree-day ('GDD') etc. to get useful insights about the pest phenology. This package pulls temperature data from the California Irrigation Management Information System ('CIMIS', <https://cimis.water.ca.gov>), the 'Daymet' application programming interface ('API', <https://daymet.ornl.gov>), or 'Open Meteo' ('API', <https://open-meteo.com/>) sequentially for a user-specified time period and calculates cumulative growing degree-days. Users provide pest development thresholds (lower and upper temperatures), pest of concern, and the geographic coordinates of the trap location to track emergence and phenology.
Author: Santosh Bhandari [aut, cre], Lalit Kharel [aut], Mahesh Ghimire [aut]
Maintainer: Santosh Bhandari <santoshbhandari4556@gmail.com>

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Package LocaTT updated to version 1.3.0 with previous version 1.2.0 dated 2026-03-27

Title: Geographically-Conscious Taxonomic Assignment for Metabarcoding
Description: A bioinformatics pipeline for performing taxonomic assignment of DNA metabarcoding sequence data while considering geographic location. A detailed tutorial is available at <https://urodelan.github.io/LocaTT_Tutorial/>. A manuscript describing these methods is in preparation.
Author: Kenen B Goodwin [aut, cre] , Christopher Cousins [ctb], Taal Levi [ctb], Tiffany S Garcia [ths]
Maintainer: Kenen B Goodwin <urodelan@gmail.com>

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Package topics updated to version 1.0 with previous version 0.70 dated 2026-02-16

Title: Creating and Significance Testing Language Features for Visualisation
Description: Implements differential language analysis with statistical tests and offers various language visualization techniques for n-grams and topics. It also supports the 'text' package. For more information, visit <https://r-topics.org/> and <https://www.r-text.org/>.
Author: Leon Ackermann [aut] , Zhuojun Gu [aut] , Oscar Kjell [aut, cre]
Maintainer: Oscar Kjell <oscar.kjell@psy.lu.se>

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Package TmCalculator updated to version 1.0.6 with previous version 1.0.5 dated 2026-06-04

Title: Genome-Wide Nucleic Acid Melting Temperature Profiling and Multi-Omics Integration
Description: Accurate calculation of nucleic acid melting temperature (Tm) is fundamental to many molecular biology applications, and this software scales Tm analysis from individual sequences to genome‑wide thermodynamic profiling. This package extends Tm analysis from simple sequence level computation to comprehensive genome-wide thermodynamic profiling. It takes multiple input formats including sequence strings, FASTA files, genomic coordinates. The implementation provides three Tm calculation methods: the Wallace rule (Thein & Wallace, 1986), empirical GC‑content formulas (Marmur, 1962; Schildkraut, 2010; Wetmur, 1991; Untergasser, 2012; von Ahsen, 2001), and nearest‑neighbor thermodynamics (Breslauer, 1986; Sugimoto, 1996; Allawi, 1998; SantaLucia, 2004; Freier, 1986; Xia, 1998; Chen, 2012; Bommarito, 2000; Turner, 2010; Sugimoto, 1995; Allawi, 1997; SantaLucia, 2005). Corrections are supported for salt ions (SantaLucia, 1996, 1998; Owczarzy, 2004, 2008) and for chemical conditions such as [...truncated...]
Author: Junhui Li [cre, aut] , Lihua Julie Zhu [aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

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Package tidyILD readmission to version 0.4.1 with previous version 0.4.0 dated 2026-04-17

Title: Tidy Intensive Longitudinal Data Analysis
Description: A reproducible, tidyverse-style framework for intensive longitudinal data analysis in R, with built-in methodological safeguards, provenance tracking, and reporting tools. Encodes time structure, enforces within-between decomposition, provides spacing-aware lags, and integrates diagnostics and visualization. Use ild_prepare(), ild_center(), ild_lag(), and related functions for a unified pipeline from raw EMA/diary data to interpretable models.
Author: Alex Litovchenko [aut, cre]
Maintainer: Alex Litovchenko <al4877@columbia.edu>

This is a re-admission after prior archival of version 0.4.0 dated 2026-04-17

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Package text updated to version 1.9 with previous version 1.8.1 dated 2026-02-16

Title: Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning
Description: Link R with Transformers from Hugging Face to transform text variables to word embeddings; where the word embeddings are used to statistically test the mean difference between set of texts, compute semantic similarity scores between texts, predict numerical variables, and visual statistically significant words according to various dimensions etc. For more information see <https://www.r-text.org>.
Author: Oscar Kjell [aut, cre] , Salvatore Giorgi [aut] , Andrew Schwartz [aut]
Maintainer: Oscar Kjell <oscar.kjell@psy.lu.se>

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Package pvarife updated to version 0.1.2 with previous version 0.1.1 dated 2026-06-11

Title: Panel VAR Models with Interactive Fixed Effects
Description: Implements the estimator of Tugan (2021) <doi:10.1093/ectj/utaa021> for panel vector autoregression (VAR) models with interactive fixed effects. Provides joint estimation of VAR coefficients, latent common factors, and factor loadings via an iterative algorithm that alternates between principal component estimation of the factors and least squares estimation of the VAR coefficients, following the approach of Bai (2009) <doi:10.3982/ECTA6135>. Supports impulse response functions under recursive (Cholesky) identification, parametric confidence bands from the joint asymptotic distribution of the estimator (Theorem 2.3), and a classical residual bootstrap for robustness checks.
Author: Binzhi Chen [aut, cre]
Maintainer: Binzhi Chen <Binzhi.Chen9@gmail.com>

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Package joinspy updated to version 0.8.3 with previous version 0.8.2 dated 2026-06-12

Title: Diagnostic Tools for Data Frame Joins
Description: Provides diagnostic tools for understanding and debugging data frame joins. Analyzes key columns before joining to detect duplicates, mismatches, encoding issues, and other common problems. Explains unexpected row count changes and provides safe join wrappers with cardinality enforcement. Concepts and diagnostics build on tidy data principles as described in 'Wickham' (2014) <doi:10.18637/jss.v059.i10>.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package ggRandomForests updated to version 3.1.2 with previous version 3.1.0 dated 2026-06-11

Title: Visually Exploring Random Forests
Description: Graphic elements for exploring Random Forests using the 'randomForest' or 'randomForestSRC' package for survival, regression and classification forests and 'ggplot2' package plotting. Implements visualisations of the methods described in Breiman (2001) <doi:10.1023/A:1010933404324> and Ishwaran, Kogalur, Blackstone, and Lauer (2008) <doi:10.1214/08-AOAS169>.
Author: John Ehrlinger [aut, cre]
Maintainer: John Ehrlinger <john.ehrlinger@gmail.com>

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Package did updated to version 2.5.0 with previous version 2.3.0 dated 2025-12-13

Title: Treatment Effects with Multiple Periods and Groups
Description: The standard Difference-in-Differences (DID) setup involves two periods and two groups -- a treated group and untreated group. Many applications of DID methods involve more than two periods and have individuals that are treated at different points in time. This package contains tools for computing average treatment effect parameters in Difference in Differences setups with more than two periods and with variation in treatment timing using the methods developed in Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001>. The main parameters are group-time average treatment effects which are the average treatment effect for a particular group at a particular time. These can be aggregated into a fewer number of treatment effect parameters, and the package deals with the cases where there is selective treatment timing, dynamic treatment effects, calendar time effects, or combinations of these. There are also functions for testing the Difference in Differences assumption [...truncated...]
Author: Brantly Callaway [aut, cre], Pedro H. C. Sant'Anna [aut]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>

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Package voiceR (with last version 0.1.0) was removed from CRAN

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

2023-09-12 0.1.0

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Package MethScope updated to version 1.0.2 with previous version 1.0.1 dated 2026-02-26

Title: Ultra-Fast Analysis of Sparse DNA Methylome via Recurrent Pattern Encoding
Description: Methods for analyzing DNA methylation data via Most Recurrent Methylation Patterns (MRMPs). Supports cell-type annotation, spatial deconvolution, unsupervised clustering, and cancer cell-of-origin inference. Includes C-backed summaries for YAME “.cg/.cm” files (overlap counts, log2 odds ratios, beta/depth aggregation), an XGBoost classifier, NNLS deconvolution, and plotting utilities. Scales to large spatial and single-cell methylomes and is robust to extreme sparsity.
Author: Hongxiang Fu [aut, cre] , Wanding Zhou [cph, fnd], The SAMtools/HTSlib authors [ctb, cph] , Attractive Chaos [ctb, cph] )
Maintainer: Hongxiang Fu <fhx@seas.upenn.edu>

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Package bvarnet updated to version 1.0.1 with previous version 1.0.0 dated 2026-05-27

Title: Bayesian Estimation of Dynamic VAR Models using STAN
Description: Bayesian estimation of multilevel Vector Autoregression (VAR) models using Stan. Supports Gaussian, Binary, and Ordinal (adjacent category) outcome variables with random effects and customizable priors.
Author: Florian Metwaly [aut, cre, cph]
Maintainer: Florian Metwaly <f.j.metwaly@uva.nl>

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Package diversityArch updated to version 0.4.0 with previous version 0.3.0 dated 2026-05-04

Title: Computes Diversity Indices for Archaeological Data
Description: Companion package of Arnaud Barat, Andreu Sansó, Maite Arilla-Osuna, Ruth Blasco, Iñaki Pérez-Fernández, Gabriel Cifuentes-Alcobenda, Rubén Llorente, Daniel Vivar-Ríos, Ella Assaf, Ran Barkai, Avi Gopher, & Jordi Rosell-Ardèvol (2026) <doi:10.1007/s10816-026-09802-3>. It computes Diversity Indices, decomposes several of them and computes bootstrap confidence intervals.
Author: Andreu Sanso [aut, cre], Arnaud Barat [aut], Jordi Rosell [aut]
Maintainer: Andreu Sanso <andreu.sanso@uib.eu>

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Package ccar3 readmission to version 0.1.2 with previous version 0.1.1 dated 2026-04-29

Title: Canonical Correlation Analysis via Reduced Rank Regression
Description: Canonical correlation analysis (CCA) via reduced-rank regression with support for regularization and cross-validation. Several methods for estimating CCA in high-dimensional settings are implemented. The first set of methods, cca_rrr() (and variants: cca_group_rrr() and cca_graph_rrr()), assumes that one dataset is high-dimensional and the other is low-dimensional, while the second, ecca() (for Efficient CCA) assumes that both datasets are high-dimensional. For both methods, standard l1 regularization as well as group-lasso regularization are available. cca_graph_rrr further supports total variation regularization when there is a known graph structure among the variables of the high-dimensional dataset. In this case, the loadings of the canonical directions of the high-dimensional dataset are assumed to be smooth on the graph. For more details see Donnat and Tuzhilina (2024) <doi:10.48550/arXiv.2405.19539> and Wu, Tuzhilina and Donnat (2025) <doi:10.48550/arXiv.2507.11160> [...truncated...]
Author: Claire Donnat [aut, cre] , Elena Tuzhilina [aut] , Zixuan Wu [aut]
Maintainer: Claire Donnat <cdonnat@uchicago.edu>

This is a re-admission after prior archival of version 0.1.1 dated 2026-04-29

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Package BayesERtools updated to version 0.2.6 with previous version 0.2.5 dated 2026-04-23

Title: Bayesian Exposure-Response Analysis Tools
Description: Suite of tools that facilitate exposure-response analysis using Bayesian methods. The package provides a streamlined workflow for fitting types of models that are commonly used in exposure-response analysis - linear and Emax for continuous endpoints, logistic linear and logistic Emax for binary endpoints, as well as performing simulation and visualization. Learn more about the workflow at <https://genentech.github.io/BayesERbook/>.
Author: Kenta Yoshida [aut, cre] , Francois Mercier [aut] , Danielle Navarro [aut] , Genentech, Inc. [cph]
Maintainer: Kenta Yoshida <yoshida.kenta.6@gmail.com>

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Package rstanemax updated to version 0.1.10 with previous version 0.1.9 dated 2025-02-17

Title: Emax Model Analysis with 'Stan'
Description: Perform sigmoidal Emax model fit using 'Stan' in a formula notation, without writing 'Stan' model code.
Author: Kenta Yoshida [aut, cre] , Danielle Navarro [aut] , Trustees of Columbia University [cph]
Maintainer: Kenta Yoshida <yoshida.kenta.6@gmail.com>

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Package RGraphSpace updated to version 1.4.0 with previous version 1.3.0 dated 2026-05-22

Title: A Lightweight Interface Between 'igraph' and 'ggplot2' Graphics
Description: An interface to integrate 'igraph' and 'ggplot2' graphics within a normalized coordinate system. 'RGraphSpace' extends 'ggplot2' with graph-aware geometries optimized for large networks. The 'GraphSpace' class integrates directly with 'ggplot2' through specialized 'geoms' and lazy resolution of node attributes, supporting customization of aesthetics and visual styles. These 'geoms' use a dual-anchor normalization approach to align layers, particularly useful for analyses in which network elements must be spatially aligned with reference maps and images.
Author: Sysbiolab Team [aut], Flavio Kessler [ctb], Jonathan Back [ctb], Lana Querne [ctb], Victor Apolonio [ctb], Vinicius Chagas [ctb], Mauro Castro [cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>

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Package bioRad updated to version 0.12.0 with previous version 0.11.0 dated 2025-08-29

Title: Biological Analysis and Visualization of Weather Radar Data
Description: Extract, visualize and summarize aerial movements of birds and insects from weather radar data. See Dokter, A. M. et al. (2018) "bioRad: biological analysis and visualization of weather radar data" <doi:10.1111/ecog.04028> for a software paper describing package and methodologies.
Author: Adriaan M. Dokter [aut, cre] , Peter Desmet [aut] , Bart Kranstauber [aut] , Cecilia Nilsson [aut] , Alexander Tedeschi [aut] , Stijn Van Hoey [aut] , Bart Hoekstra [ctb] , Pieter Huybrechts [ctb] , Hidde Leijnse [ctb] , Nicolas Noe [ctb] , Raphael N [...truncated...]
Maintainer: Adriaan M. Dokter <biorad@cornell.edu>

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Package bbotk updated to version 1.10.1 with previous version 1.10.0 dated 2026-04-08

Title: Black-Box Optimization Toolkit
Description: Features highly configurable search spaces via the 'paradox' package and optimizes every user-defined objective function. The package includes several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). bbotk is the base package of 'mlr3tuning', 'mlr3fselect' and 'miesmuschel'.
Author: Marc Becker [cre, aut] , Jakob Richter [aut] , Michel Lang [aut] , Bernd Bischl [aut] , Martin Binder [aut], Olaf Mersmann [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between bbotk versions 1.10.0 dated 2026-04-08 and 1.10.1 dated 2026-06-13

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Package ProbeDeveloper updated to version 1.1.2 with previous version 1.1.1 dated 2026-03-23

Title: Develop Hybridization Probes
Description: Hybridization probes for target sequences can be made based on melting temperature value calculated by R package 'TmCalculator' <https://CRAN.R-project.org/package=TmCalculator> and methods extended from Beliveau, B. J.,(2018) <doi:10.1073/pnas.1714530115>, and those hybridization probes can be used to capture specific target regions in fluorescence in situ hybridization and next generation sequence experiments.
Author: Junhui Li [cre, aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

Diff between ProbeDeveloper versions 1.1.1 dated 2026-03-23 and 1.1.2 dated 2026-06-13

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Fri, 12 Jun 2026

Package rcatfish updated to version 1.0.3 with previous version 1.0.2 dated 2026-02-19

Title: An R Interface to the California Academy of Sciences Eschmeyer's Catalog of Fishes
Description: Accesses the California Academy of Sciences Eschmeyer's Catalog of Fishes in R using web requests. The Catalog of fishes is the leading authority in fish taxonomy. Functions in the package allow users to search for fish taxa and valid names, retrieve taxonomic references, retrieve monthly taxonomic changes, obtain natural history collection information, and see the number of species by taxonomic group. For more information on the Catalog: Fricke, R., Eschmeyer, W. N. & R. van der Laan (eds) 2025. ESCHMEYER'S CATALOG OF FISHES <https://researcharchive.calacademy.org/research/ichthyology/catalog/fishcatmain.asp>.
Author: Samuel R. Borstein [aut, cre], Brandon Dominy [aut], Brian O'Meara [aut]
Maintainer: Samuel R. Borstein <sam@borstein.com>

Diff between rcatfish versions 1.0.2 dated 2026-02-19 and 1.0.3 dated 2026-06-12

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Package harmony readmission to version 2.0.5 with previous version 2.0.4 dated 2026-06-04

Title: Fast, Sensitive, and Accurate Integration of Single Cell Data
Description: Implementation of the Harmony algorithm for single cell integration, described in Patikas, Yao, et al. <doi:10.64898/2026.03.16.711825>. Package includes a standalone Harmony function and interfaces to external frameworks.
Author: Nikolaos Patikas [aut, ctb] , Hongcheng Yao [aut, ctb] , Ilya Korsunsky [cre, aut] , Martin Hemberg [aut] , Nghia Millard [aut] , Jean Fan [aut, ctb] , Kamil Slowikowski [aut, ctb] , Miles Smith [ctb], Soumya Raychaudhuri [aut]
Maintainer: Ilya Korsunsky <ilya.korsunsky@gmail.com>

This is a re-admission after prior archival of version 2.0.4 dated 2026-06-04

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Package focus updated to version 0.1.7 with previous version 0.1.6 dated 2026-06-09

Title: Online Changepoint Detection in Univariate and Multivariate Data Streams
Description: Provides high-performance online changepoint detection in univariate and multivariate data streams. Implements efficient 'C++' backends for the 'focus', 'md-focus' and 'np-focus' algorithms, with an 'R' interface for real-time monitoring and offline analysis. The package bundles code from 'Qhull' <http://www.qhull.org/>, by C. B. Barber and The Geometry Center. See 'inst/COPYRIGHTS' for details.
Author: Gaetano Romano [aut, cre, trl], Kes Ward [aut], Yuntang Fan [aut], Guillem Rigaill [aut], Vincent Runge [aut], Paul Fearnhead [aut], Idris A. Eckley [aut], C. B. Barber [ctb, cph] , The Geometry Center [cph]
Maintainer: Gaetano Romano <g.romano@lancaster.ac.uk>

Diff between focus versions 0.1.6 dated 2026-06-09 and 0.1.7 dated 2026-06-12

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Package ledger updated to version 2.1.1 with previous version 2.0.13 dated 2026-03-30

Title: Utilities for Importing Data from Plain Text Accounting Files
Description: Utilities for querying plain text accounting files from 'Ledger', 'HLedger', and 'Beancount'.
Author: Trevor L. Davis [aut, cre] , Jenya Sovetkin [ctb], Chris Lloyd [ctb]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

Diff between ledger versions 2.0.13 dated 2026-03-30 and 2.1.1 dated 2026-06-12

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Package joinspy updated to version 0.8.2 with previous version 0.8.0 dated 2026-03-31

Title: Diagnostic Tools for Data Frame Joins
Description: Provides diagnostic tools for understanding and debugging data frame joins. Analyzes key columns before joining to detect duplicates, mismatches, encoding issues, and other common problems. Explains unexpected row count changes and provides safe join wrappers with cardinality enforcement. Concepts and diagnostics build on tidy data principles as described in 'Wickham' (2014) <doi:10.18637/jss.v059.i10>.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package h3sdm updated to version 0.1.5 with previous version 0.1.4 dated 2026-05-29

Title: Species Distribution Modeling with H3 Grids
Description: Provides tools for species distribution modeling using H3 hexagonal grids (Uber Technologies Inc., 2022, <https://h3geo.org>). Facilitates retrieval of species occurrence records, generation of H3 grids, computation of landscape metrics, and preparation of spatial data for modern species distribution models workflows. Designed for biodiversity and landscape ecology research.
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>

Diff between h3sdm versions 0.1.4 dated 2026-05-29 and 0.1.5 dated 2026-06-12

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Package earthdatalogin updated to version 0.0.4 with previous version 0.0.3 dated 2025-07-11

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>

Diff between earthdatalogin versions 0.0.3 dated 2025-07-11 and 0.0.4 dated 2026-06-12

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Package netUtils updated to version 0.8.6 with previous version 0.8.5 dated 2026-04-14

Title: A Collection of Tools for Network Analysis
Description: Provides a collection of network analytic (convenience) functions which are missing in other standard packages. This includes triad census with attributes <doi:10.1016/j.socnet.2019.04.003>, core-periphery models <doi:10.1016/S0378-8733(99)00019-2>, and several graph generators. Most functions are build upon 'igraph'.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

Diff between netUtils versions 0.8.5 dated 2026-04-14 and 0.8.6 dated 2026-06-12

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New package SmokingHistoryGenerator with initial version 6.5.3-1.0.1
Package: SmokingHistoryGenerator
Title: R Package for the Smoking History Generator
Version: 6.5.3-1.0.1
Date: 2026-05-18
Maintainer: John Clarke <john.clarke@cornerstonenw.com>
Description: Efficient R interface to the Cancer Intervention and Surveillance Modeling Network (CISNET) Smoking History Generator microsimulation engine, which synthesizes individual smoking histories (initiation, cessation, intensity) and ages at death from calibrated initiation, cessation, cigarettes-per-day, and mortality tables. The wrapper exposes fixed-cohort and population data-frame simulation, multi-threaded segmentation, reproducible pseudo-random streams (L'Ecuyer RngStream MRG32k3a or Matsumoto--Nishimura Mersenne Twister), legacy CLI-style configuration files, and portable YAML configuration save/load with optional split smoking and mortality parameter bundles. Methods follow Jeon et al. (2012) <doi:10.1111/j.1539-6924.2011.01775.x>. Random number generators: Matsumoto and Nishimura (1998) <doi:10.1145/272991.272995>; L'Ecuyer (1999) <doi:10.1287/opre.47.1.159>; L'Ecuyer et al. (2002) <doi:10.1287/opre.50.6.1073.358>.
URL: https://github.com/NCI-CISNET/shg-r
Imports: methods, Rcpp (>= 1.0.2), yaml
Suggests: testthat (>= 3.0.0), glue, httr2
LinkingTo: Rcpp
Encoding: UTF-8
License: GPL-3
NeedsCompilation: yes
Packaged: 2026-06-01 10:58:14 UTC; jclarke
Author: John Clarke [aut, cre] , Ben Racine [aut] , Martin Krapcho [aut] , Alexander Gaenko [aut] , Makoto Matsumoto [ctb, cph] ; copyright notice in source), Takuji Nishimura [ctb, cph] ; copyright notice in source), Pierre L'Ecuyer [ctb, cph] ; copyright n [...truncated...]
Repository: CRAN
Date/Publication: 2026-06-12 19:20:02 UTC

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New package mx.crypto with initial version 0.2.0
Package: mx.crypto
Title: Matrix End-to-End Encryption Primitives
Version: 0.2.0
Date: 2026-05-13
Description: 'Olm' and 'Megolm' encryption ratchet primitives for the 'Matrix' messaging protocol <https://matrix.org/>, wrapping the 'vodozemac' Rust crate. Provides device-key generation, one-time-key management, 1:1 'Olm' sessions, and 'Megolm' group sessions. Pairs with the 'mx.api' package, which handles 'Matrix' HTTP transport.
License: MIT + file LICENSE | Apache License 2.0
URL: https://github.com/cornball-ai/mx.crypto
BugReports: https://github.com/cornball-ai/mx.crypto/issues
Depends: R (>= 4.3)
SystemRequirements: Cargo (Rust's package manager), rustc (>= 1.85)
Suggests: tinytest, mx.api (>= 0.2.0), simplermarkdown
VignetteBuilder: simplermarkdown
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-05-13 20:31:36 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph], The Matrix.org Foundation C.I.C. [ctb, cph] , Authors of the dependency Rust crates [ctb]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-06-12 19:30:02 UTC

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Package MDP2 readmission to version 2.2.2.0 with previous version 2.1.2 dated 2023-01-31

Title: Markov Decision Processes (MDPs)
Description: Create and optimize (semi) MDPs with discrete time steps and state space. Both hierarchical and ordinary-traditional MDPs can be modeled.
Author: Lars Relund Nielsen [aut, cre]
Maintainer: Lars Relund Nielsen <lars@relund.dk>

This is a re-admission after prior archival of version 2.1.2 dated 2023-01-31

Diff between MDP2 versions 2.1.2 dated 2023-01-31 and 2.2.2.0 dated 2026-06-12

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New package gtfsrealtime with initial version 0.2.1
Package: gtfsrealtime
Title: Read GTFS-Realtime Files into Data Frames
Version: 0.2.1
Description: GTFS-realtime is a format transit agencies use to provide current vehicle positions, predicted arrival times, and service alerts. This package provides efficient functions to read this format into data frames. It can be used to retrieve current data or to process archived data.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.88.0, xz
Depends: R (>= 4.2)
Imports: cli, sf
Suggests: knitr, rmarkdown, ggplot2, data.table, purrr, gifski, lubridate, dplyr, tidyr, testthat (>= 3.3.0), jsonlite, tidyselect, tibble, stringr
BugReports: https://github.com/mattwigway/gtfsrealtime-r/issues
VignetteBuilder: knitr
URL: http://projects.indicatrix.org/gtfsrealtime-r/
NeedsCompilation: yes
Packaged: 2026-05-27 13:49:34 UTC; runner
Author: Matthew Bhagat-Conway [aut, cre, cph] , Matthew Palm [ctb, cph] , The GTFS-realtime authors and the authors of bundled Rust crates [ctb, cph]
Maintainer: Matthew Bhagat-Conway <mwbc@unc.edu>
Repository: CRAN
Date/Publication: 2026-06-12 19:30:08 UTC

More information about gtfsrealtime at CRAN
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Package iccde updated to version 0.3.9 with previous version 0.3.8 dated 2025-04-23

Title: Computation of the Double-Entry Intraclass Correlation
Description: The functions compute the double-entry intraclass correlation, which is an index of profile similarity (Furr, 2010; McCrae, 2008). The double-entry intraclass correlation is a more precise index of the agreement of two empirically observed profiles than the often-used intraclass correlation (McCrae, 2008). Profiles comprising correlations are automatically transformed according to the Fisher z-transformation before the double-entry intraclass correlation is calculated. If the profiles comprise scores such as sum scores from various personality scales, it is recommended to standardize each individual score prior to computation of the double-entry intraclass correlation (McCrae, 2008). See Furr (2010) <doi:10.1080/00223890903379134> or McCrae (2008) <doi:10.1080/00223890701845104> for details.
Author: Christian Bloetner [aut, cre], Michael Paul Grosz [aut]
Maintainer: Christian Bloetner <c.bloetner@gmail.com>

Diff between iccde versions 0.3.8 dated 2025-04-23 and 0.3.9 dated 2026-06-12

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Package TemporalHazard updated to version 1.1.0 with previous version 1.0.3 dated 2026-05-30

Title: Temporal Parametric Hazard Modeling
Description: Provides native R implementations of the multiphase parametric hazard model of Blackstone, Naftel, and Turner (1986) <doi:10.1080/01621459.1986.10478314> with a focus on behavioral parity, transparent numerics, and reproducible validation against reference outputs from the original 'C'/'SAS' HAZARD program, originally developed at the University of Alabama at Birmingham (UAB). The 'SAS'/'C' code and this R package are currently developed and maintained at The Cleveland Clinic Foundation, and the R code was wholly developed at The Cleveland Clinic Foundation. The generalized temporal decomposition family extends to longitudinal mixed-effects settings (Rajeswaran et al. 2018 <doi:10.1177/0962280215623583>). The package is intentionally implemented in pure R first; performance-critical paths may later be accelerated with 'Rcpp' without changing the public interface.
Author: John Ehrlinger [aut, cre, cph]
Maintainer: John Ehrlinger <john.ehrlinger@gmail.com>

Diff between TemporalHazard versions 1.0.3 dated 2026-05-30 and 1.1.0 dated 2026-06-12

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Package hellodatascience updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-19

Title: Datasets from the Hello Data Science Book
Description: Provides datasets used for analysis and visualizations in the open-access Hello Data Science book.
Author: Mine Dogucu [aut, cre] , Catalina Medina [aut] , Alma Castro [aut]
Maintainer: Mine Dogucu <mdogucu@gmail.com>

Diff between hellodatascience versions 0.1.0 dated 2026-01-19 and 0.1.1 dated 2026-06-12

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Package sdcMicro updated to version 5.8.2 with previous version 5.8.1 dated 2026-03-10

Title: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation
Description: Data from statistical agencies and other institutions are mostly confidential. This package, introduced in Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v067.i04>, can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>. Various risk estimation and anonymization methods are included. Note that the package includes a graphical user interface published in Meindl and Templ (2019) <doi:10.3390/a12090191> that allows to use various methods of this package.
Author: Matthias Templ [aut, cre] , Bernhard Meindl [aut], Alexander Kowarik [aut] , Johannes Gussenbauer [aut], Organisation For Economic Co-Operation And Development [cph] code code for rank swapping, mdav-microaggregation, suda2 and other risk measures [...truncated...]
Maintainer: Matthias Templ <matthias.templ@gmail.com>

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Package rayimage updated to version 0.26.1 with previous version 0.15.1 dated 2025-02-01

Title: Image Processing for Simulated Cameras
Description: Uses convolution-based techniques to generate simulated camera bokeh, depth of field, and other camera effects, using an image and an optional depth map. Accepts both filename inputs and in-memory array representations of images and matrices, including common raster formats such as 'JPEG', 'PNG', 'TIFF', 'TGA', 'BMP', 'PSD', 'GIF', 'HDR', 'PIC', 'PNM', 'DNG', and 'EXR'. Includes functions to perform 2D convolutions, color correction, colorspace conversion, image/matrix reorientation and resizing, image and text overlays, exposure adjustment, camera vignette effects, and image titles.
Author: Tyler Morgan-Wall [aut, cph, cre]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between rayimage versions 0.15.1 dated 2025-02-01 and 0.26.1 dated 2026-06-12

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Package msPCA updated to version 0.4.1 with previous version 0.4.0 dated 2026-05-22

Title: Sparse Principal Component Analysis with Multiple Principal Components
Description: Implements an algorithm for computing multiple sparse principal components of a dataset. The method is based on Cory-Wright and Pauphilet "Sparse PCA with Multiple Principal Components" (2026) <doi:10.48550/arXiv.2209.14790>. The algorithm uses an iterative deflation heuristic with a truncated power method applied at each iteration to compute sparse principal components with controlled sparsity.
Author: Ryan Cory-Wright [aut, cph] , Jean Pauphilet [aut, cre, cph]
Maintainer: Jean Pauphilet <jpauphilet@london.edu>

Diff between msPCA versions 0.4.0 dated 2026-05-22 and 0.4.1 dated 2026-06-12

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