Thu, 15 Oct 2026

Package testit updated to version 1.2 with previous version 1.1.2 dated 2026-09-04

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

Diff between testit versions 1.1.2 dated 2026-09-04 and 1.2 dated 2026-10-15

 DESCRIPTION                |    8 +-
 MD5                        |   15 ++--
 NAMESPACE                  |    1 
 R/testit.R                 |  154 +++++++++++++++++++++++++++++++++------------
 R/utils.R                  |    4 -
 man/assert.Rd              |    9 +-
 man/has_match.Rd           |only
 man/test_pkg.Rd            |   11 +--
 tests/testit/test-testit.R |  129 ++++++++++++++++++++++++++++++-------
 9 files changed, 244 insertions(+), 87 deletions(-)

More information about testit at CRAN
Permanent link

Package shinyGovstyle updated to version 0.3.0 with previous version 0.2.0 dated 2026-04-13

Title: Custom Gov Style Inputs for Shiny
Description: Provides 'shiny' components styled using the GOV.UK Design System. See <https://design-system.service.gov.uk/components/> for component guidance.
Author: Ross Wyatt [aut], Cam Race [aut, cre], Sarah Wong [aut], Richard Bielby [ctb], Charlotte Foster [ctb], Jeni Martin [ctb], Andrew Baker [ctb]
Maintainer: Cam Race <camrace8@gmail.com>

Diff between shinyGovstyle versions 0.2.0 dated 2026-04-13 and 0.3.0 dated 2026-10-15

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Permanent link

Package CATAcode updated to version 1.0.1 with previous version 1.0.0 dated 2025-08-26

Title: Explore and Code Responses to Check-All-that-Apply Survey Items
Description: Analyzing responses to check-all-that-apply survey items often requires data transformations and subjective decisions for combining categories. 'CATAcode' contains tools for exploring response patterns, facilitating data transformations, applying a set of decision rules for coding responses, and summarizing response frequencies.
Author: Kyle Nickodem [aut, cre] , Gabriel J. Merrin [aut]
Maintainer: Kyle Nickodem <kyle.nickodem@gmail.com>

Diff between CATAcode versions 1.0.0 dated 2025-08-26 and 1.0.1 dated 2026-10-15

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Package overtureR updated to version 0.3.2 with previous version 0.3.1 dated 2026-10-08

Title: Load 'Overture' Datasets as 'dbplyr' and 'sf'-Ready Data Frames
Description: An integrated R interface to the 'Overture' API (<https://docs.overturemaps.org/>). Allows R users to return 'Overture' data as 'dbplyr' data frames or materialized 'sf' spatial data frames.
Author: Arthur Gailes [aut, cre, cph]
Maintainer: Arthur Gailes <agailes1@gmail.com>

Diff between overtureR versions 0.3.1 dated 2026-10-08 and 0.3.2 dated 2026-10-15

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More information about overtureR at CRAN
Permanent link

Package officedown updated to version 0.4.3 with previous version 0.4.1 dated 2025-05-20

Title: Enhanced 'R Markdown' Format for 'Word' and 'PowerPoint'
Description: Allows production of 'Microsoft' corporate documents from 'R Markdown' by reusing formatting defined in 'Microsoft Word' documents. You can reuse table styles, list styles but also add column sections, landscape oriented pages. Table and image captions as well as cross-references are transformed into 'Microsoft Word' fields, allowing documents edition and merging without issue with references; the syntax conforms to the 'bookdown' cross-reference definition. Objects generated by the 'officer' package are also supported in the 'knitr' chunks. 'Microsoft PowerPoint' presentations also benefit from this as well as the ability to produce editable vector graphics in 'PowerPoint' and also to define placeholder where content is to be added.
Author: David Gohel [aut, cre, cph], ArData [cph], Institut fuer Qualitaetssicherung und Transparenz im Gesundheitswesen [fnd], Noam Ross [aut] , ArData [cph], Martin Camitz [ctb]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between officedown versions 0.4.1 dated 2025-05-20 and 0.4.3 dated 2026-10-15

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Package geoaddSAE2 updated to version 0.1.2 with previous version 0.1.1 dated 2026-10-05

Title: Geoadditive Small Area Estimation for Area-Level Model
Description: Fits area-level geoadditive small area estimation (SAE) models by extending the Fay-Herriot area-level model with linear, nonlinear, and spatial effects. The Fay-Herriot model is described by Fay and Herriot (1979) <doi:10.1080/01621459.1979.10482505>. Geoadditive models combine nonlinear covariate effects and spatial variation as described by Kammann and Wand (2003) <doi:10.1111/1467-9876.00385>, while their application to small area estimation is discussed by Pusponegoro et al. (2019) <doi:10.21108/JDSA.2019.2.15>. Nonlinear covariate effects are represented using penalized splines, while spatial effects are represented using a smooth function of geographic coordinates. Models are estimated using restricted maximum likelihood (REML), and mean squared error (MSE) is estimated using a parametric bootstrap. The package also provides comparisons with the Fay-Herriot and spatial Fay-Herriot (SFH) models.
Author: Amalyah Rizky Khairunnisa Sutarto [aut, cre], Novi Hidayat Pusponegoro [aut, ths]
Maintainer: Amalyah Rizky Khairunnisa Sutarto <222212489@stis.ac.id>

Diff between geoaddSAE2 versions 0.1.1 dated 2026-10-05 and 0.1.2 dated 2026-10-15

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More information about geoaddSAE2 at CRAN
Permanent link

Package rfacebookstat updated to version 2.17.0 with previous version 2.16.1 dated 2026-08-25

Title: Load Data from Facebook API Marketing
Description: Load data by campaigns, ads, ad sets and insights, ad account and business manager from Facebook Marketing API into R. For more details see official documents by Facebook Marketing API <https://developers.facebook.com/documentation/ads-commerce/marketing-api>.
Author: Alexey Seleznev [aut, cre]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

Diff between rfacebookstat versions 2.16.1 dated 2026-08-25 and 2.17.0 dated 2026-10-15

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More information about rfacebookstat at CRAN
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Package gdtools updated to version 0.5.2 with previous version 0.5.1 dated 2026-05-25

Title: Font Metrics and Font Management Utilities for R Graphics
Description: Compute text metrics (width, ascent, descent) using 'Cairo' and 'FreeType', independently of the active graphic device. Font lookup is delegated to 'systemfonts'. Additional utilities let users register 'Google Fonts' or bundled 'Liberation' fonts, check font availability, and assemble 'htmlDependency' objects so that fonts are correctly embedded in 'Shiny' applications, 'R Markdown' documents, and 'htmlwidgets' outputs such as 'ggiraph'.
Author: David Gohel [aut, cre], Hadley Wickham [aut], Lionel Henry [aut], Jeroen Ooms [aut] , Yixuan Qiu [ctb], R Core Team [cph] , ArData [cph], RStudio [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between gdtools versions 0.5.1 dated 2026-05-25 and 0.5.2 dated 2026-10-15

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More information about gdtools at CRAN
Permanent link

Package collegeScorecard updated to version 0.3.0 with previous version 0.2.0 dated 2025-02-13

Title: US College Scorecard Data
Description: Provides a tidied subset of the US College Scorecard dataset, containing institutional characteristics, enrollment, student aid, costs, and student outcomes at institutions of higher education in the United States.
Author: Garrick Aden-Buie [aut, cre, cph]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>

Diff between collegeScorecard versions 0.2.0 dated 2025-02-13 and 0.3.0 dated 2026-10-15

 DESCRIPTION                        |   12 +-
 MD5                                |   20 ++--
 NEWS.md                            |    4 
 R/collegeScorecard-package.R       |   21 ++--
 README.md                          |  164 ++++++++++++++++++-------------------
 data/school.rda                    |binary
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More information about collegeScorecard at CRAN
Permanent link

New package tsspiral with initial version 0.1.1
Package: tsspiral
Title: Spiral Visualisation for Time Series
Version: 0.1.1
Description: Provides a grammar of graphics geometry for visualising time series using spiral layouts, with each year represented as a separate ring.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
URL: https://github.com/thiyangt/tsspiral, https://thiyangt.github.io/tsspiral/
BugReports: https://github.com/thiyangt/tsspiral/issues
Imports: ggplot2, dplyr, tibble, lubridate, purrr, tidyr, rlang
Suggests: testthat (>= 3.0.0), tsibble
NeedsCompilation: no
Packaged: 2026-10-05 13:18:14 UTC; DELL
Author: Thiyanga S. Talagala [aut, cre]
Maintainer: Thiyanga S. Talagala <ttalagala@sjp.ac.lk>
Repository: CRAN
Date/Publication: 2026-10-15 17:20:02 UTC

More information about tsspiral at CRAN
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New package recruitlag with initial version 0.1.0
Package: recruitlag
Title: Can Episodic Recruitment be a Delayed Consequence of Continuous Reproduction?
Version: 0.1.0
Description: Tests whether an episodic recruitment record can be the delayed consequence of a reproductive record, under any distributed lag. A delay is a convolution, and a convolution is a weighted average, so the concentration in time of expected recruitment can never exceed that of reproduction: reproduction's own concentration is a ceiling. The package computes that ceiling by searching families of lag weights (pure delays, windows, geometric decay and Dirichlet draws), calibrates the pooled comparison against negative-binomial counts to show what it can and cannot refute, and runs the host-level (replicate-unit) test in which the null is the lag hypothesis exactly as it is asserted: expected recruitment on each unit is that unit's own lagged reproduction, scaled to its own total. Uncertainty on the exceedance comes by three routes, a cluster bootstrap over units, a Bayesian bootstrap (Rubin 1981 <doi:10.1214/aos/1176345338>) and a negative-binomial model of the counts fitted with 'Stan' [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 4.1)
Imports: ggplot2, rlang, stats, tibble, tools, utils
VignetteBuilder: knitr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, dplyr, tidyr, cmdstanr (>= 0.6.0), posterior
Additional_repositories: https://stan-dev.r-universe.dev
URL: https://github.com/RaymondLTremblay/recruitlag
BugReports: https://github.com/RaymondLTremblay/recruitlag/issues
NeedsCompilation: no
Packaged: 2026-10-05 18:30:27 UTC; rlt
Author: Raymond L. Tremblay [aut, cre, cph]
Maintainer: Raymond L. Tremblay <raymond.tremblay@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-15 17:40:02 UTC

More information about recruitlag at CRAN
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New package reactives with initial version 0.1.0
Package: reactives
Title: Keyed Collections of 'shiny' Reactives
Version: 0.1.0
Description: Holds 'shiny' reactive values and reactive expressions under keys that can be added, removed and reordered, with dependencies tracked per key. The 'shiny' package offers reactiveValues() for keyed stored values, but it can neither remove nor reorder keys, and it has no keyed collection of computed values.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Imports: shiny (>= 1.14.0), stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
URL: https://nbenn.github.io/reactives/, https://github.com/nbenn/reactives
BugReports: https://github.com/nbenn/reactives/issues
NeedsCompilation: no
Packaged: 2026-10-05 12:34:27 UTC; coder
Author: Nicolas Bennett [aut, cre, cph]
Maintainer: Nicolas Bennett <nicolas@cynkra.com>
Repository: CRAN
Date/Publication: 2026-10-15 17:30:02 UTC

More information about reactives at CRAN
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New package psychds with initial version 0.1.0
Package: psychds
Title: Creating and Validating 'Psych-DS' Datasets
Version: 0.1.0
Description: Provides a 'Shiny' application and helper functions for adopting 'Psych-DS' (<https://psych-ds.github.io/>), a community data standard for organizing and documenting datasets in the psychological and behavioral sciences inspired by the Brain Imaging Data Structure ('BIDS'). A guided interface walks researchers through the dataset creation process, organizing tabular data files into proper 'Psych-DS' directory structures, generating new, compliant, keyword-based filenames, and generating machine-readable 'JSON' metadata. Additional tools support building and editing data dictionaries with variable-level descriptions, validating datasets against the full 'Psych-DS' specification via a bundled 'JavaScript' validator, and exploring dataset contents interactively.
License: MIT + file LICENSE
URL: https://psych-ds.github.io/psychds-r/, https://github.com/psych-ds/psychds-r
BugReports: https://github.com/psych-ds/psychds-r/issues
Copyright: see file inst/COPYRIGHTS for bundled 'JavaScript' library copyrights and licenses
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, jsonlite, rstudioapi, shiny (>= 1.7.0), tools, utils
Suggests: crosstalk, DT, fs, knitr, miniUI, pointblank, rmarkdown, shinydashboard, shinyjs, sortable, spelling, testthat (>= 3.0.0), zip
SystemRequirements: Node.js (>= 18.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-05 15:38:54 UTC; brianleonard
Author: Massachusetts Institute of Technology [cph], Brian Leonard [aut, cre] , Melissa Kline Struhl [aut]
Maintainer: Brian Leonard <bleonard@mit.edu>
Repository: CRAN
Date/Publication: 2026-10-15 17:30:07 UTC

More information about psychds at CRAN
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Package parameters updated to version 0.30.0 with previous version 0.29.3 dated 2026-09-02

Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see list of supported models using the function 'insight::supported_models()'), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Soeren Hoejsgaard [aut], Brenton M. Wiernik [aut] , Zen J. Lau [ctb], Vincent Arel-Bundock [ctb] , Jeffrey Girard [ctb] , Christina Maimone [re [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

Diff between parameters versions 0.29.3 dated 2026-09-02 and 0.30.0 dated 2026-10-15

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 NAMESPACE                                       |   39 ++---
 NEWS.md                                         |   83 ++++++++++
 R/1_model_parameters.R                          |    3 
 R/bootstrap_model.R                             |   23 ++
 R/extract_parameters.R                          |   70 ++++----
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 R/methods_merTools.R                            |    4 
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 R/methods_panelr.R                              |   10 +
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 man/bootstrap_model.Rd                          |   10 -
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 tests/testthat/test-betareg.R                   |    2 
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 tests/testthat/test-bracl.R                     |    2 
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 tests/testthat/test-gee.R                       |   35 ++--
 tests/testthat/test-glmmTMB-ordinal.R           |only
 tests/testthat/test-glmmTMB.R                   |    4 
 tests/testthat/test-lavaan.R                    |   19 ++
 tests/testthat/test-marginaleffects.R           |  155 +++++++++++++++++++
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 tests/testthat/test-model_parameters.Arima.R    |only
 tests/testthat/test-model_parameters.TukeyHSD.R |only
 tests/testthat/test-model_parameters.htest.R    |   18 ++
 tests/testthat/test-model_parameters.metafor.R  |   27 ++-
 tests/testthat/test-model_parameters.mixed.R    |   14 +
 tests/testthat/test-model_parameters_ordinal.R  |  127 ++++++++++++++--
 tests/testthat/test-model_parameters_robust.R   |  120 +++++++++++----
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 48 files changed, 1328 insertions(+), 378 deletions(-)

More information about parameters at CRAN
Permanent link

Package JMbayes2 updated to version 0.6-5 with previous version 0.6-0 dated 2026-01-28

Title: Extended Joint Models for Longitudinal and Time-to-Event Data
Description: Fit joint models for longitudinal and time-to-event data under the Bayesian approach. Multiple longitudinal outcomes of mixed type (continuous/categorical) and multiple event times (competing risks and multi-state processes) are accommodated. Rizopoulos (2012, ISBN:9781439872864).
Author: Dimitris Rizopoulos [aut, cre] , Pedro Miranda-Afonso [aut] , Grigorios Papageorgiou [aut]
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

Diff between JMbayes2 versions 0.6-0 dated 2026-01-28 and 0.6-5 dated 2026-10-15

 DESCRIPTION            |   11 
 MD5                    |   44 -
 NAMESPACE              |    3 
 NEWS.md                |    5 
 R/basic_methods.R      |   30 -
 R/help_functions.R     |   52 ++
 R/jm.R                 |    9 
 R/jm_fit.R             |    7 
 R/optimal_model.R      |  250 ++++++++++
 R/predict_funs.R       |   31 -
 README.md              |    2 
 man/JMbayes2.Rd        |    4 
 man/jm.Rd              |    2 
 man/prothro.Rd         |    9 
 src/JMbayes2_D.h       |  183 +++++--
 src/JMbayes2_FE.h      |  462 +++++++++++--------
 src/JMbayes2_Funs.h    | 1177 ++++++++++++++++++++++++++++++++++++-------------
 src/JMbayes2_LogDens.h |  489 +++++++++++++++-----
 src/JMbayes2_RE.h      |  283 ++++++-----
 src/JMbayes2_Surv.h    |  409 ++++++++---------
 src/JMbayes2_sigmas.h  |  125 +++--
 src/JMbayes2_tau.h     |    3 
 src/mcmc_fit.cpp       |  562 +++++++++++++++++------
 23 files changed, 2880 insertions(+), 1272 deletions(-)

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New package investlabr with initial version 0.0.6.2
Package: investlabr
Title: Research Workflows for Macro and Cross-Asset Analysis
Version: 0.0.6.2
Author: Oliver Zhou [aut, cre]
Maintainer: Oliver Zhou <oliver.yxzhou@gmail.com>
Description: Reusable research workflows for macro-financial and cross-asset analysis. The package sits on top of data packages such as 'investdatar' and focuses on transforming existing market and macro data into analysis-ready research tables, factor and indicator constructions, event and regime overlays, sensitivity estimates, scenario comparisons, and research-grade visualization outputs. Portfolio risk-return comparisons use the mean-variance framework of Markowitz (1952) <doi:10.1111/j.1540-6261.1952.tb01525.x>. Research-side volatility simulations include the generalized autoregressive conditional heteroskedasticity model of Bollerslev (1986) <doi:10.1016/0304-4076(86)90063-1>.
License: MIT + file LICENSE
URL: https://github.com/OliverLDS/investlabr
BugReports: https://github.com/OliverLDS/investlabr/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: data.table (>= 1.12.4), ggplot2 (>= 3.5.0), ggrepel, grid, gridExtra, jsonlite, patchwork, quadprog, rlang, scales, stats, utils, yaml, Rcpp
LinkingTo: Rcpp
Suggests: svglite, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-10-06 02:45:56 UTC; runner
Repository: CRAN
Date/Publication: 2026-10-15 17:50:02 UTC

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New package glemb with initial version 0.1.4
Package: glemb
Title: Multiple Imputation Using the General Location Model with the EMB Algorithm
Version: 0.1.4
Description: Provides multiple imputation for mixed continuous and categorical data using the General Location Model (Olkin and Tate (1961) <doi:10.1214/aoms/1177705052>; Little and Schluchter (1985) <doi:10.1093/biomet/72.3.497>) combined with the Expectation-Maximization with Bootstrapping (EMB) algorithm of Honaker, King and Blackwell (2011) <doi:10.18637/jss.v045.i07>. Categorical variables are specified via the noms option; all other variables are treated as continuous. The package wraps the EM implementation in the 'mix' package and extends it with a bootstrap wrapper to produce proper multiple imputations in the sense of Rubin (1987, ISBN:978-0-471-08705-2).
License: GPL-3
Encoding: UTF-8
LazyData: true
ByteCompile: true
Imports: mix
Suggests: mice, mitml, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 4.0.0)
URL: https://github.com/pauldallison/glemb
BugReports: https://github.com/pauldallison/glemb/issues
NeedsCompilation: no
Packaged: 2026-10-05 00:15:34 UTC; allis
Author: Paul Allison [aut, cre]
Maintainer: Paul Allison <allison@statisticalhorizons.com>
Repository: CRAN
Date/Publication: 2026-10-15 17:30:12 UTC

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New package fuzzySurvival with initial version 0.1.0
Package: fuzzySurvival
Title: Fuzzy Survival Analysis with Vague Event Times and Fuzzy Censoring
Version: 0.1.0
Description: Fuzzy survival analysis for data in which event times and/or failure indicators are vague, for instance when a failure is only known to have occurred during the second quarter of a year, or when it is uncertain whether a subject lost to follow-up had in fact failed. Vague information is represented by fuzzy numbers. The package provides a fuzzy product-limit estimator obtained from nested alpha-cuts of the fuzzy survival function, a fuzzy Cox proportional hazards model with fuzzy coefficient and hazard ratio estimates, and a fuzzy log-rank test. Type-reduction utilities for summarizing fuzzy estimates by single numbers, a simulation engine for validation studies, plotting, print and summary methods, and alpha-cut based confidence bands are provided. The bounds are computed at the alpha-cuts of the fuzzy event times, so the alpha-cut intervals returned for the survival function, the regression coefficients and the test statistic are nested by construction.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics, grDevices, survival (>= 3.2-13)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-06 04:55:37 UTC; IUD
Author: Mukul Bijalwan [aut, cre] , Gunjan Aggrwal [aut], Mukul Jain [aut]
Maintainer: Mukul Bijalwan <mukulbijalwan555@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-15 17:50:09 UTC

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New package ethnoecologyR with initial version 0.1.4
Package: ethnoecologyR
Title: Quantitative Ethnoecology Analysis and Landscape Knowledge Modeling
Version: 0.1.4
Description: A comprehensive toolkit for quantitative ethnoecology analysis and landscape knowledge modeling. Implements core indices including Landscape Use (LU), Cultural Importance in Ecology (CIE), Frequency of Citation (FC), Fidelity Level (FL), Number of Uses (NU), and Cultural Value of Ecolandscape (CVe). Provides visualization tools for chord diagrams, alluvial plots, and radial plots, as well as Bayesian consensus modeling and bootstrap resampling to support reproducible research in Local Ecological Knowledge (LEK) and participatory land-use decision analysis. Methods are based on Tardío and Pardo-de-Santayana (2008) <doi:10.1007/s12231-007-9004-5>, Reyes-García et al. (2006) <https://www.jstor.org/stable/4257061>, and Friedman et al. (1986) <doi:10.1037/0022-3514.51.6.1173>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: dplyr, magrittr, ggplot2, tidyr, circlize, ggalluvial, reshape2, rlang, boot, rstan
Suggests: knitr, rmarkdown, testthat
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-05 14:57:43 UTC; marw0
Author: Marwan Setiawan [aut, cre]
Maintainer: Marwan Setiawan <marw002@brin.go.id>
Repository: CRAN
Date/Publication: 2026-10-15 17:30:18 UTC

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New package CoopPostman with initial version 0.1.0
Package: CoopPostman
Title: Optimal Routing and Cost Allocation for the Chinese Postman Game
Version: 0.1.0
Description: Solves the Chinese Postman Problem (CPP) using Dijkstra's algorithm for shortest paths, Edmonds' Blossom algorithm (1965) for minimum weight perfect matching, and Fleury's algorithm for Eulerian circuit generation. Additionally, computes the cooperative gamma-rule cost allocation proposed by Hamers, Klijn, Suijs, and Tijs (1999) <doi :10.1016/S0377-2217(98)00346-6> for weakly Eulerian networks.
License: GPL (>= 3)
Encoding: UTF-8
Imports: igraph, graphics
Suggests: ggplot2
NeedsCompilation: no
Packaged: 2026-10-05 12:24:58 UTC; gabri
Author: Maria Gabriela Perez [aut, cre]
Maintainer: Maria Gabriela Perez <maria.g.perezs@udc.es>
Repository: CRAN
Date/Publication: 2026-10-15 17:10:16 UTC

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New package BMeRL with initial version 1.0.0
Package: BMeRL
Title: Bivariate Median Residual Life Estimation
Version: 1.0.0
Author: Ruhul Ali Khan [aut, cre] , Musie Ghebremichael [aut]
Maintainer: Ruhul Ali Khan <ruhulali.khan@gmail.com>
Description: Nonparametric estimation of the bivariate median residual life function of Kayid et al. (2020) for complete and right-censored paired lifetimes. Order-restricted estimation for two groups is also provided, following Khan and Ghebremichael (2026). For censored data the bivariate survival function is estimated by the method of Lin and Ying (1993). Simultaneous confidence intervals are obtained by the percentile bootstrap approach of Mandel and Betensky (2008), and the estimated functions can be drawn as surface plots. See the accompanying vignette 'BMeRL' for a detailed introduction. Kayid, M., Shafaei Noughabi, M., and Abouammoh, A. M. (2020) <doi:10.1007/s00357-018-9300-z>; Khan, R. A., and Ghebremichael, M. (2026) <doi:10.1002/bimj.70112>; Lin, D. Y., and Ying, Z. (1993) <doi:10.1093/biomet/80.3.573>; Mandel, M., and Betensky, R. A. (2008) <doi:10.1016/j.csda.2007.07.005>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: stats, utils, graphics, grDevices
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-05 20:40:59 UTC; rk128
Repository: CRAN
Date/Publication: 2026-10-15 17:40:09 UTC

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New package writeLog with initial version 0.1.0
Package: writeLog
Title: Write Printed Output of R Objects to Log Files
Version: 0.1.0
Description: Provides writeLog(), a small helper that writes the printed output of a named list of R objects to a text file in a log directory, one element after another, each preceded by its list name as a heading. Supports versioned file names and appending to an existing log file.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), withr
URL: https://github.com/jeffzifanwu/writeLog
BugReports: https://github.com/jeffzifanwu/writeLog/issues
NeedsCompilation: no
Packaged: 2026-10-03 13:02:47 UTC; jzw121
Author: Jeffzifan Wu [aut, cre]
Maintainer: Jeffzifan Wu <zifan.jeffwu@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-15 16:10:02 UTC

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New package tabby with initial version 0.0.1
Package: tabby
Title: Tidy Interfaces for Tabular Deep Learning
Version: 0.0.1
Description: Model definitions for fitting, tuning, and predicting with deep learning models for tabular data using the 'parsnip' and 'tidymodels' frameworks. Supported models include the 'TabPFN' foundation model of Hollmann et al. (2025) <doi:10.1038/s41586-024-08328-6>, 'TabICL' by Qu et al. (2025) <doi:10.48550/arXiv.2502.05564>, 'SAINT' by Somepalli et al. (2021) <doi:10.48550/arXiv.2106.01342>, and the tabular 'ResNet' of Gorishniy et al. (2021) <doi:10.48550/arXiv.2106.11959>, among others. Helper functions are also included to create space-filling grids for tuning parameters that are defined on a per-layer basis. These functions define the model interfaces; the computations are carried out by separate engine packages.
License: MIT + file LICENSE
URL: https://github.com/tidymodels/tabby, https://tabby.tidymodels.org/
BugReports: https://github.com/tidymodels/tabby/issues
Depends: parsnip (>= 1.6.1), R (>= 4.1.0)
Imports: cli, dials (>= 1.4.4), dplyr, generics, hardhat, purrr, rlang (>= 1.1.0), tibble
Suggests: brulee (>= 1.2.0), modeldata, spelling, testthat (>= 3.0.0), torch, withr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-05 12:26:23 UTC; max
Author: Max Kuhn [aut, cre] , Edgar Ruiz [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>
Repository: CRAN
Date/Publication: 2026-10-15 17:00:02 UTC

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New package simulab with initial version 0.4.10
Package: simulab
Title: Simulates a Wide Variety of Data Shapes, Sizes and Distributions
Version: 0.4.10
Description: Generates a wide variety of data, in different shapes, sample sizes, distributions and parameters. The parameters are either drawn at random or set in advance, and in both cases they are stored with the data, so they are known and their recovery can be tested. Generators cover declared variables with treatment assignment and missing values, correlated and clustered data, latent profile, latent class, factor and item response models, longitudinal and multilevel processes, survival times with competing risks, sequences of states, and static, bipartite, multiplex, temporal and transition networks. Every generator returns batches of reproducible data sets for the evaluation of statistical methods, the testing of models and software, and teaching; simulated transition networks are native 'tna' models.
URL: https://pak.dynasite.org/simulab/, https://github.com/mohsaqr/simulab
BugReports: https://github.com/mohsaqr/simulab/issues
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: stats, utils
Suggests: testthat (>= 3.0.0), knitr, igraph (>= 2.0.0), rmarkdown, simstudy, survival, tna (>= 1.2.3)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-10-04 15:01:50 UTC; mohammedsaqr
Author: Mohammed Saqr [aut, cre, cph] , Sonsoles Lopez-Pernas [aut, cph]
Maintainer: Mohammed Saqr <saqr@saqr.me>
Repository: CRAN
Date/Publication: 2026-10-15 16:30:02 UTC

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New package sage with initial version 0.2.0
Package: sage
Title: Retrieve Slices of the Small-Area Global Elections Archive
Version: 0.2.0
Description: Downloads and subsets slices of the Small-Area Global Elections (SAGE) archive, a harmonized collection of polling-station and precinct-level election results, without having to read monolithic country-level files. Reads partitioned 'Parquet' from a public bucket (configurable through the 'SAGE_SOURCE' environment variable, the 'sage_set_source()' function, or a local copy of the archive) and exposes a 'sage_load(country, years, columns)' function returning a 'tibble', plus helpers for the accompanying boundary polygons and candidate-level vote sidecars. See <https://github.com/noahdasanaike/sage> for the archive itself.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0)
Imports: arrow (>= 14.0.0), dplyr, rlang, tibble, utils
Suggests: curl, sf, sfarrow, testthat (>= 3.0.0)
URL: https://github.com/noahdasanaike/sage
BugReports: https://github.com/noahdasanaike/sage/issues
NeedsCompilation: no
Packaged: 2026-10-04 17:52:17 UTC; Noah
Author: Noah Dasanaike [aut, cre, cph], Dmitry Shkolnik [ctb]
Maintainer: Noah Dasanaike <dasanaike.noah@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-15 16:40:02 UTC

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New package rjsf with initial version 0.1.0
Package: rjsf
Title: R Interface to Jump-Switch-Flow Simulation
Version: 0.1.0
Description: An R interface to Jump-Switch-Flow (JSF), a hybrid simulation framework for compartmental reaction models that combines stochastic jump dynamics at low population sizes with deterministic flow dynamics at high population sizes. Simulations are performed using the 'jsf' backend for 'Python' through 'reticulate', with structured R outputs for inspection, summary, and plotting. The underlying methodology is described in Germano et al. (2026) <doi:10.1007/s00285-026-02409-y>.
License: MIT + file LICENSE
URL: https://olivervu25.github.io/rjsf/, https://github.com/olivervu25/rjsf
BugReports: https://github.com/olivervu25/rjsf/issues
SystemRequirements: Python, Quarto command line tool
Encoding: UTF-8
Imports: reticulate, S7
Suggests: quarto, testthat (>= 3.0.0)
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-10-03 16:20:23 UTC; olivervu25
Author: Thanh Long Vu [aut, cre, cph], Domenic Germano [aut], Michael Lydeamore [aut]
Maintainer: Thanh Long Vu <longvu2000.work@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-15 16:10:08 UTC

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New package RecoverMetricsR with initial version 0.1.0
Package: RecoverMetricsR
Title: Quantifying Post-Fire Spectral Recovery Metrics
Version: 0.1.0
Description: Computes pixel-wise metrics describing post-disturbance spectral recovery from a yearly spectral-index time series. Metrics include disturbance magnitude (DM), an ordinary least squares (OLS) recovery slope, early- and late-period recovery rates, recovery-rate change, Relative Recovery Indicator (RRI), Ratio of Eighty Percent (R80P), and Year-on-Year recovery (YrYr). The RRI, R80P, and YrYr metrics are based on approaches described by Frazier et al. (2018) <doi:10.1016/j.rse.2017.11.007>. Threshold-based recovery-time approaches have been used to quantify post-fire vegetation recovery from spectral time series by Chompuchan and Lin (2017) <doi:10.1016/j.ecolind.2017.04.038>. Exponential recovery formulations have also been applied to post-fire vegetation time series by Gouveia et al. (2010) <doi:10.5194/nhess-10-673-2010>. Parametric recovery models, including exponential, logistic, and Gompertz formulations, are provided to characterize nonlinear post-disturbance rec [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, grid, rlang, stats, terra (>= 1.8)
Suggests: knitr, rmarkdown, sf, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-03 19:54:09 UTC; achour
Author: Hammadi Achour [aut, cre] , Amal Daboussi [aut], Wahbi Jaouadi [aut]
Maintainer: Hammadi Achour <hammadi.achour@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-15 16:10:21 UTC

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New package OceanTracer with initial version 1.0.2
Package: OceanTracer
Title: Marine Source Unmixing Toolkit
Version: 1.0.2
Date: 2026-10-04
Description: Reconstructs the provenance of particulate matter and marine sediments by 'unmixing' isotopic and elemental signatures. Provides a specialized toolkit for marine biogeochemistry, coastal tracing, and oceanographic sediment transport following the step-by-step procedure described in Cepeda 'et' 'al.' (2026) <doi:10.1002/lom3.70083>, which is tested using artificial mixtures.
License: GPL (>= 2)
Depends: R (>= 4.1.0)
Imports: ggplot2, klaR, GGally, plotly, gridExtra, Ternary, MASS, dplyr, magrittr, tidyr, crayon, reshape2, tidyselect, stats, utils, scales, cluster, ggbiplot, MixSIAR
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-04 09:44:08 UTC; ecepedagamella
Author: Esther Cepeda [aut, cre], Maarten Wynants [aut], Ivan Lizaga [aut, ths, ldr], Samuel Bode [ctb], Pascal Boeckx [ctb], Jan Vanaverbeke [ctb], Ulrike Braeckman [ctb], Margarita Villalonga [ctb], Aiming Liang [ctb], Borja Latorre [ctb], Leticia Gaspar [ [...truncated...]
Maintainer: Esther Cepeda <cepeda.esther@hotmail.com>
Repository: CRAN
Date/Publication: 2026-10-15 16:20:15 UTC

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New package limestab with initial version 0.1.0
Package: limestab
Title: Stable Local Interpretable Model-Agnostic Explanations (LIME, OptiLIME, BayLIME, ALIME)
Version: 0.1.0
Description: Provides four local explanation methods for tabular data: LIME, OptiLIME, BayLIME, and ALIME, together with the stability metrics used to compare them across repeated explanations of the same instance: the Coefficient Stability Index (CSI), the Variable Stability Index (VSI), Median Rank Matching Stability (MRMS), Point-Based Stability Index (PCSI), and Interval Coefficient Stability Index (ICSI). The methodology accompanies Toparlak and Purutcuoglu, "A Median-Based Framework for Assessing the Stability in XAI Tools" (manuscript under revision); the citation will be updated upon publication.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: stats, utils
Suggests: xgboost, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-04 15:32:08 UTC; vilda
Author: Simay Toparlak [aut] , Vilda Purutcuoglu [aut, cre]
Maintainer: Vilda Purutcuoglu <vpurutcu@metu.edu.tr>
Repository: CRAN
Date/Publication: 2026-10-15 16:30:12 UTC

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New package InterconectaR with initial version 1.0.1
Package: InterconectaR
Version: 1.0.1
Date: 2026-10-05
Title: Psychological Network Analysis and Psychometric Insights
Encoding: UTF-8
Depends: R (>= 4.1.0)
Description: Estimates psychological networks by group for research in the social sciences and complements them with psychometric modeling. It summarises centrality and bridge centrality indices, evaluates the stability of edges and centrality from bootstrap results, refines items by the stability of exploratory graph analysis (EGA), and plots networks with the variance explained of each node. It also estimates an a priori sample size for EGA through Monte Carlo simulation and includes an interactive application to plan the sample size of a network study. Methods follow Epskamp, Borsboom and Fried (2018) <doi:10.3758/s13428-017-0862-1> and Golino and Epskamp (2017) <doi:10.1371/journal.pone.0174035>.
License: GPL (>= 3)
URL: https://github.com/jventural/InterconectaR
BugReports: https://github.com/jventural/InterconectaR/issues
Imports: bootnet, Cairo, correlation, cowplot, dplyr, EGAnet, forcats, future, future.apply, ggforce, ggplot2 (>= 3.4.0), ggplotify, graphics, grDevices, grid, gridExtra, lavaan, magick, mgm, networktools, patchwork, png, progressr, purrr, qgraph, RColorBrewer, rlang, scales, semPlot, stats, tibble, tidyr, tidyselect, tools, utils, wesanderson
Suggests: bslib, powerly, psychonetrics, shiny, viridis
NeedsCompilation: no
Packaged: 2026-10-05 11:15:51 UTC; PC
Author: Jose Ventura-Leon [aut, cre]
Maintainer: Jose Ventura-Leon <jventuraleon@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-15 17:00:17 UTC

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New package fullmetaphone with initial version 0.1.0
Package: fullmetaphone
Title: Full-Length Metaphone and Double Metaphone Phonetic Codes
Version: 0.1.0
Description: Encodes names and words as phonetic codes, so that names which sound alike but are spelled differently can be matched. Implements the Metaphone algorithm of Philips (1990, Computer Language, 7(12), 38-43) and the Double Metaphone algorithm of Philips (2000) <https://web.archive.org/web/20250702064845/https://drdobbs.com/the-double-metaphone-search-algorithm/184401251>, which gives a primary and an alternate code for names of many language origins. Unlike most implementations, including 'PGRdup', the codes are not cut to four characters, which keeps long and multi-part names apart. Provides metaphone(), double_metaphone() and sounds_like() for record linkage, deduplication and name search, and includes a data set of common United States surnames.
License: GPL-3
URL: https://github.com/anilyayavar/dblmetaphone
BugReports: https://github.com/anilyayavar/dblmetaphone/issues
Copyright: See file inst/COPYRIGHTS.
Depends: R (>= 3.5.0)
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0)
LazyData: true
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-10-05 09:36:02 UTC; AnilGoyal
Author: Anil Kumar Goyal [aut, cre, cph], Atharv Tyagi [aut, cph], Lawrence Philips [ctb] , Maurice Aubrey [ctb] , Kevin Atkinson [ctb] , The Apache Software Foundation [cph] and of the test data)
Maintainer: Anil Kumar Goyal <anilyayavar@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-15 17:00:07 UTC

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Package EmiStatR readmission to version 1.2.6 with previous version 1.2.3.0 dated 2021-09-28

Title: A Simplified and Scalable Urban Water Quality Model for Simulation of Combined Sewer Overflows
Description: Provides a fast and parallelised calculator to estimate combined sewage water emissions. It supports the planning and design of urban drainage systems without extensive simulation tools. The methods are described in Torres-Matallana et al. (2018) <doi:10.3390/w10060782>.
Author: J.A. Torres-Matallana [aut, cre], K. Klepiszewski [aut], U. Leopold [ctb], G. Schutz [ctb], G.B.M. Heuvelink [ctb]
Maintainer: J.A. Torres-Matallana <jairo.torres@hereon.de>

This is a re-admission after prior archival of version 1.2.3.0 dated 2021-09-28

Diff between EmiStatR versions 1.2.3.0 dated 2021-09-28 and 1.2.6 dated 2026-10-15

 DESCRIPTION             |   37 +--
 MD5                     |   61 +++--
 NEWS.md                 |only
 R/Agg.R                 |    7 
 R/CInp2TS.R             |   33 +-
 R/Class-input.R         |    5 
 R/EmiStatR.R            |  539 ++++++++++++++++++++++--------------------------
 build                   |only
 man/Agg.Rd              |    2 
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 man/Delay.Rd            |   13 -
 man/E1.Rd               |    6 
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 man/E3.Rd               |    6 
 man/EmiStatR-methods.Rd |   33 --
 man/EmiStatR-package.Rd |   34 +--
 man/Esch_Sure2010.Rd    |    6 
 man/IsReg.Rd            |    6 
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 man/P1.Rd               |    6 
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 man/Volume2Level.Rd     |   15 -
 man/inf.Rd              |    6 
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 man/pe_factor.Rd        |    6 
 man/qs_factor.Rd        |    6 
 man/qs_factor_ATV.Rd    |    3 
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 30 files changed, 474 insertions(+), 623 deletions(-)

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New package EMDSSAForecast with initial version 0.1.0
Package: EMDSSAForecast
Title: Hybrid EMD-SSA Forecasting with Artificial Neural Networks for Time Series
Version: 0.1.0
Description: Implements a hybrid empirical mode decomposition, singular spectrum analysis, and artificial neural network forecasting framework for time series data. The framework extracts the trend from the first intrinsic mode function using singular spectrum analysis, forecasts the extracted trend and remaining decomposition components using artificial neural networks, and combines the component forecasts to obtain the final forecast. For methodological details, refer to Kumar et al. (2026) <doi:10.1007/s10791-026-10076-2>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rlibeemd, Rssa, neuralnet
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-05 05:11:16 UTC; Dr. Santosh Rathod
Author: Prabhat Kumar [aut, cre], Girish Kumar Jha [aut], Rajeev Ranjan Kumar [aut], Santosha Rathod [aut], R N Singh [aut]
Maintainer: Prabhat Kumar <prabhatkkv@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-15 17:00:24 UTC

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New package dsFedAte with initial version 0.1.0
Package: dsFedAte
Title: Server-Side Treatment Effect Computation for Federated Studies
Version: 0.1.0
Description: Server-side 'DataSHIELD' package that computes local average treatment effect (ATE) statistics from arm-specific regression coefficients provided by the analyst. Implements the server-side component of the G-formula estimator from 'Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis' (R. Khellaf, A. Bellet and J. Josse, 2025), enforcing 'DataSHIELD' disclosure controls throughout.
License: AGPL (>= 3)
Encoding: UTF-8
Imports: cli, dsBase, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-05 07:34:51 UTC; francisco
Author: Francisco Andrade [aut, cre], Remi Khellaf [aut], Julie Josse [aut]
Maintainer: Francisco Andrade <francisco.de-lima-andrade@inria.fr>
Repository: CRAN
Date/Publication: 2026-10-15 17:00:12 UTC

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New package dominoise with initial version 0.2.0
Package: dominoise
Title: Parsimonious Noise Perturbation for Magnitude Tables
Version: 0.2.0
Description: Protects magnitude tables, such as tables of enterprise turnover, by multiplying each total by a Gaussian noise combining a dominance-driven component and a general-purpose one, governed by three parameters only. Information loss and disclosure risks for three attack scenarios (external inference, internal inference and differencing) are available in closed form, so that calibration requires neither simulation nor re-estimation on the data. The package guides that calibration step by step, from the differencing noise to the dominance parameters, with decision tables and risk-utility plots, applies the mechanism to an aggregated table using SHA-512 hashed random keys for consistency over time, and reports the risk and utility actually achieved. The method is described in Jamme (2027) <doi:10.1007/978-3-032-37883-5_9>.
License: GPL (>= 3)
URL: https://github.com/InseeFrLab/dominoise, https://inseefrlab.github.io/dominoise/
BugReports: https://github.com/InseeFrLab/dominoise/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1)
Imports: stats, utils, digest, assertthat, rlang
Suggests: ggplot2 (>= 3.5.0), testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-04 09:54:16 UTC; onyxia
Author: Julien Jamme [aut, cre] , Institut national de la statistique et des etudes economiques [cph]
Maintainer: Julien Jamme <julien.jamme@insee.fr>
Repository: CRAN
Date/Publication: 2026-10-15 16:20:02 UTC

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New package dasklyr with initial version 0.1.1
Package: dasklyr
Title: R Interface to 'Dask'
Version: 0.1.1
Description: Run 'dplyr' verbs on 'Dask' data frames from R. Connect to a local 'Dask' client or a remote scheduler, copy R data frames onto the cluster, read and write Parquet and CSV, and collect results as 'tibble' objects. Computation stays in Python workers through 'reticulate'; R only builds the graph. A Python installation with the 'dask' package is required.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: dplyr, rlang, tibble, tidyselect, reticulate (>= 1.38)
Suggests: testthat (>= 3.0.0)
SystemRequirements: Python with the dask (dataframe, distributed), pandas, and pyarrow packages
URL: https://github.com/hebian1994/dasklyr
BugReports: https://github.com/hebian1994/dasklyr/issues
NeedsCompilation: no
Packaged: 2026-10-03 12:00:22 UTC; a
Author: Louis Li [aut, cre, cph]
Maintainer: Louis Li <908163862@qq.com>
Repository: CRAN
Date/Publication: 2026-10-15 16:10:14 UTC

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New package contentiousR with initial version 0.1.0
Package: contentiousR
Title: Contentious Politics and Civil Conflict Research
Version: 0.1.0
Description: Constructs reproducible country-year panels for research on contentious politics and civil conflict, as described in Guseinov (2026) <doi:10.2139/ssrn.7506799>. Functions build state panels keyed by Correlates of War or Gleditsch-Ward country codes and join curated socioeconomic, leadership, democracy, conflict, protest, and revolutionary-episode data on that common key, with diagnostics and plots for comparing source coverage. Bundled sources include Gapminder; the Nonviolent and Violent Campaigns and Outcomes (NAVCO) 2.1 data, Chenoweth and Shay (2019) <doi:10.7910/DVN/MHOXDV>; the Social Conflict Analysis Database, Salehyan et al. (2012) <doi:10.1080/03050629.2012.697426>; the Uppsala Conflict Data Program and Peace Research Institute Oslo (UCDP/PRIO) Armed Conflict Dataset, Gleditsch et al. (2002) <doi:10.1177/0022343302039005007>; and the Major Episodes of Contention data, Chenoweth and Kang (2026) <doi:10.1093/jopres/xjaf008>. Varieties of Democracy [...truncated...]
License: MIT + file LICENSE
Copyright: See file COPYRIGHTS for the third-party data bundled in inst/extdata.
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: countrycode, dplyr, readr, states, stats, tidyr
Suggests: brglm2, ggplot2, knitr, peacesciencer (>= 1.2.0), readxl, rmarkdown, testthat (>= 3.0.0), vdemdata
VignetteBuilder: knitr
URL: https://rguseinov.github.io/contentiousR/, https://github.com/rguseinov/contentiousR
BugReports: https://github.com/rguseinov/contentiousR/issues
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-04 11:44:56 UTC; manin
Author: Ruslan Guseinov [aut, cre]
Maintainer: Ruslan Guseinov <rigusseinov@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-15 16:20:09 UTC

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New package CAs with initial version 0.24-3
Package: CAs
Title: Creating Covering Arrays
Version: 0.24-3
Description: Implements covering arrays, as proposed in Groemping (2025) <doi:10.1109/ICSTW64639.2025.10962463>. Uniform and mixed-level covering arrays are created and can be assessed for their coverage properties. The mathematical background of the constructions is provided in the technical reports Groemping (2026) <https://www1.bht-berlin.de/FB_II/reports/Report-2026-001.pdf> for the uniform arrays and Groemping (2025) <https://www1.bht-berlin.de/FB_II/reports/Report-2025-001.pdf> for the mixed-level constructions. The post-processing method by Nayeri, Colbourn, and Konjevod (2013) <doi:10.1016/j.ejc.2012.07.017> is also provided. In addition, there are preliminary tools for the creation of sequence covering arrays.
Depends: R (>= 3.5.0)
Imports: lhs, DoE.base, caverify (>= 0.2.0), sets, prepplot, primes, igraph, permutations, dplyr, curl, gmp, conf.design, sfsmisc, combinat
Suggests: parallel, FrF2, testthat (>= 3.0.0)
License: GPL-3
LazyData: true
LazyDataCompression: xz
Encoding: UTF-8
URL: https://github.com/ugroempi/CAs
BugReports: https://github.com/ugroempi/CAs/issues
NeedsCompilation: no
Packaged: 2026-10-04 12:46:35 UTC; groemping
Author: Ulrike Groemping [aut, cre]
Maintainer: Ulrike Groemping <ulrike.groemping@bht-berlin.de>
Repository: CRAN
Date/Publication: 2026-10-15 16:20:21 UTC

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New package aradR with initial version 0.2.0
Package: aradR
Title: Modern R Client and Toolkit for the Czech National Bank ARAD API
Version: 0.2.0
Description: Provides a reliability-first interface to the public Czech National Bank ARAD API for discovering indicators, browsing human-readable metadata, retrieving and validating time series, working with dimensions and snapshots, reshaping data, and building reproducible data workflows. The package is designed for robust handling of long requests, parsing diagnostics, missing values, retries, caching, and automated tests.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en
Depends: R (>= 4.1.0)
Imports: curl, httr2 (>= 0.2.2), readr, tibble
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://simonamalovana.com/aradR/, https://github.com/simonamalovana/aradR
BugReports: https://github.com/simonamalovana/aradR/issues
NeedsCompilation: no
Packaged: 2026-10-04 20:35:53 UTC; runner
Author: Simona Malovana [aut, cre], Petr Bouchal [ctb]
Maintainer: Simona Malovana <simona.malovana@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-15 16:50:02 UTC

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New package trialfigs with initial version 0.1.0
Package: trialfigs
Title: Efficacy and Safety Graphics for Clinical Review Packages
Version: 0.1.0
Description: Builds submission-style efficacy and safety figures used in clinical review packages, with one simulator for each therapeutic area. Oncology figures include Kaplan-Meier curves, RECIST waterfalls, swimmer plots and spider plots. Cardiovascular, endocrine, immunology, infectious disease and neuroscience figures include time-to-event curves, mean change from baseline and responder rates. Shared safety figures include an adverse-event dot plot, an eDISH liver plot, a laboratory shift plot and an exposure plot. Reference lines follow RECIST 1.1 and the FDA drug-induced liver injury guidance. This is not an FDA product and does not guarantee regulatory acceptance.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, survival, withr
Suggests: testthat (>= 3.0.0)
Language: en-US
URL: https://github.com/shekharchalwadigrepo-hub/trialfigs
BugReports: https://github.com/shekharchalwadigrepo-hub/trialfigs/issues
NeedsCompilation: no
Packaged: 2026-10-03 04:34:55 UTC; skrch
Author: Shekhar [aut, cre]
Maintainer: Shekhar <skrchalwadicg@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-15 15:50:02 UTC

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New package SpectralMM with initial version 0.1.0
Package: SpectralMM
Title: Spectral Majorization for Statistical Estimation
Version: 0.1.0
Description: Fits generalized linear, asymmetric and robust regression models using spectral majorization and iterative quadratic subproblem solvers. A shared C++ computational core supports dense and sparse designs, automatic intercepts, optional Wald inference and detailed iteration diagnostics. Native code is compiled automatically during package installation.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: Rcpp, stats
LinkingTo: Rcpp, RcppEigen
Suggests: Matrix
SystemRequirements: C++17
NeedsCompilation: yes
URL: https://github.com/Xunjian-Li/SpectralMM
BugReports: https://github.com/Xunjian-Li/SpectralMM/issues
Packaged: 2026-10-03 03:53:30 UTC; caleblee
Author: Xun-Jian Li [aut, cre]
Maintainer: Xun-Jian Li <xunjianli@ucla.edu>
Repository: CRAN
Date/Publication: 2026-10-15 15:50:14 UTC

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New package specProc with initial version 0.8.3
Package: specProc
Title: Preprocessing Tools for Laser-Induced Breakdown Spectroscopy
Version: 0.8.3
Description: Tools for exploring, preprocessing and modeling spectroscopic data, developed for laser-induced breakdown spectroscopy (LIBS) and also applicable to other techniques such as Raman, infrared, and inductively coupled plasma optical emission spectroscopy. Covers the workflow from raw spectra to calibrated results: peak finding and fitting, wavelength calibration, baseline correction, normalization and scaling, orthogonal signal correction including orthogonal partial least squares (OPLS; Trygg and Wold (2002) <doi:10.1002/cem.695>), calibration transfer, calibration curves and figures of merit, and plasma diagnostics (Boltzmann and Saha-Boltzmann plots, Stark broadening). Includes robust tools for outlier detection and exploration: robust principal component analysis (Hubert, Rousseeuw and Vanden Branden (2005) <doi:10.1198/004017004000000563>), detection of deviating cells (Rousseeuw and Van den Bossche (2018) <doi:10.1080/00401706.2017.1340909>), PCA with cellwise outl [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, lifecycle, magrittr, MASS, minpack.lm, moments, pls, Rcpp, rlang, robustbase, tibble, tidyr
Suggests: bslib, cellWise, cli, ConfidenceEllipse, dials, embed, generics, ggsci, HotellingEllipse (>= 1.3.0), knitr, mixOmics, parsnip, patchwork, plotly, plsmod, prospectr, purrr, recipes (>= 1.1.0), rmarkdown, ropls, rospca, rsample, scales (>= 1.3.0), shiny, spelling, testthat (>= 3.0.0), tune, workflows, XICOR, xml2, yardstick
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppEigen
URL: https://github.com/ChristianGoueguel/specProc, https://christiangoueguel.com/specProc/
BugReports: https://github.com/ChristianGoueguel/specProc/issues
Language: en-US
NeedsCompilation: yes
Packaged: 2026-10-02 10:31:09 UTC; christiangoueguel
Author: Christian L. Goueguel [aut, cre]
Maintainer: Christian L. Goueguel <christian.goueguel@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-15 15:20:02 UTC

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Package PredPsych updated to version 0.6 with previous version 0.5 dated 2025-10-31

Title: Predictive Approaches in Psychology
Description: Recent years have seen an increased interest in novel methods for analyzing quantitative data from experimental psychology. Currently, however, they lack an established and accessible software framework. Many existing implementations provide no guidelines, consisting of small code snippets, or sets of packages. In addition, the use of existing packages often requires advanced programming experience. 'PredPsych' is a user-friendly toolbox based on machine learning predictive algorithms. It comprises of multiple functionalities for multivariate analyses of quantitative behavioral data based on machine learning models.
Author: Atesh Koul [aut, cre]
Maintainer: Atesh Koul <atesh.koul@gmail.com>

Diff between PredPsych versions 0.5 dated 2025-10-31 and 0.6 dated 2026-10-15

 DESCRIPTION     |   11 ++++++-----
 MD5             |   10 ++++++----
 R/DTModel.R     |   18 +++++++++++++-----
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Package iccde updated to version 0.3.10 with previous version 0.3.9 dated 2026-06-12

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 0.3.9 dated 2026-06-12 and 0.3.10 dated 2026-10-15

 DESCRIPTION      |    6 +++---
 MD5              |   10 +++++-----
 R/iccdeboot.R    |   29 ++++++++++++++++++-----------
 R/iccdemat.R     |   28 +++++++++++++++++-----------
 man/iccdeboot.Rd |    5 ++++-
 man/iccdemat.Rd  |    7 ++++++-
 6 files changed, 53 insertions(+), 32 deletions(-)

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New package h2oplyr with initial version 0.2.6
Package: h2oplyr
Title: Tidy Data Manipulation on Remote 'H2O' Frames
Version: 0.2.6
Description: Provides selection, filtering, mutation, aggregation, joins, reshaping and window operations on remote 'H2O' frames. Data manipulation is delegated to 'H2O'; no local table backend is used. Includes an English tutorial and reproducible examples using Palmer penguin measurements.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: h2o (>= 3.44.0.3)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
SystemRequirements: Java (>= 8), a running H2O cluster matching the h2o R package version
NeedsCompilation: no
Packaged: 2026-09-29 07:07:52 UTC; carlosortega
Author: Carlos Ortega [aut, cre]
Maintainer: Carlos Ortega <cof@qualityexcellence.es>
Repository: CRAN
Date/Publication: 2026-10-15 15:20:15 UTC

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Package eVCGsampler updated to version 1.2.0 with previous version 1.1.2 dated 2026-07-22

Title: VCG Sampling using Energy-Based Covariate Balancing
Description: Provides a principled framework for sampling Virtual Control Group (VCG) using energy distance-based covariate balancing. The package offers visualization tools to assess covariate balance and includes a permutation test to evaluate the statistical significance of observed deviations.
Author: Andreas Schulz [aut, cre] , Sanofi [cph, fnd]
Maintainer: Andreas Schulz <andreas.schulz2@sanofi.com>

Diff between eVCGsampler versions 1.1.2 dated 2026-07-22 and 1.2.0 dated 2026-10-15

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 eVCGsampler-1.2.0/eVCGsampler/R/VCG_sampler.R                    |   22 
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 eVCGsampler-1.2.0/eVCGsampler/tests/testthat/test-BestVCGsize.R  |   15 
 eVCGsampler-1.2.0/eVCGsampler/tests/testthat/test-VCG_sampler.R  |   29 +
 eVCGsampler-1.2.0/eVCGsampler/tests/testthat/test-plot_var.R     |    8 
 eVCGsampler-1.2.0/eVCGsampler/tests/testthat/test-robust_scale.R |   10 
 25 files changed, 436 insertions(+), 291 deletions(-)

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New package eqty.sdk.r with initial version 0.9.2
Package: eqty.sdk.r
Title: Verifiable Provenance for 'R' Workflows
Version: 0.9.2
Description: Provides an 'R' interface for building verifiable manifests around data, models, prompts, agents, computations, and related lineage. Exposes the public 'eqty-sdk' 'Python' package through types accessible from 'R' for creating assets, connecting computation inputs and outputs by content identifier, grouping statements in contexts, and exporting manifest JSON files.
License: Apache License (== 2.0)
Encoding: UTF-8
Imports: reticulate (>= 1.41)
SystemRequirements: Python (>= 3.10)
URL: https://github.com/eqtylab/integrity-r, https://eqtylab.github.io/integrity-py/latest/, https://pypi.org/project/eqty-sdk/
BugReports: https://github.com/eqtylab/integrity-r/issues
NeedsCompilation: no
Packaged: 2026-10-01 16:38:06 UTC; runner
Author: Support EQTY Lab [aut, cre]
Maintainer: Support EQTY Lab <package-management@eqtylab.io>
Repository: CRAN
Date/Publication: 2026-10-15 15:50:08 UTC

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New package netmatchRI with initial version 0.1.0
Package: netmatchRI
Title: Network-Constrained Matching and Randomization-Based Inference
Version: 0.1.0
Author: Zhejia Dong [aut, cre]
Maintainer: Zhejia Dong <zhejia_dong@brown.edu>
Description: Provides network-constrained matching and randomization-based inference for observational network data with dependence and interference. Dual-penalty matching minimizes total covariate dissimilarity while enforcing penalties on network proximity between and within treatment arms in matched sets. Randomization-based inference combines evidence from correlated matched sets based on this design. The package also provides covariate-balance and network-distance diagnostics, sensitivity analysis, and simulated example data. The open-source 'HiGHS' solver is used by default to solve the matching problem. An optional interface to the commercial 'Gurobi Optimizer' is available. Eligible academic users can request a free license at <https://www.gurobi.com/academics/>. The optimizer can be downloaded from <https://www.gurobi.com/product/download-center>. The associated 'gurobi' R package is not available from CRAN; it is distributed with the optimizer and can be installed by following [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/zhejiadong/netmatchRI
BugReports: https://github.com/zhejiadong/netmatchRI/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, graphics, highs, igraph, Matrix, mvtnorm, optmatch, Rglpk, slam, stats, utils
Suggests: knitr, MASS, rmarkdown, testthat (>= 3.2.0)
Enhances: gurobi
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-03 02:45:18 UTC; zhejia
Repository: CRAN
Date/Publication: 2026-10-15 10:20:02 UTC

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Package FeNEU updated to version 3.0.3 with previous version 3.0.2 dated 2026-09-09

Title: Routines for Evaluating Forest Inventory Data
Description: Provides a collection of routines for evaluating data from larger forest management units, typically sample inventories, but also stand-wise inventories. The idea is to support modern forest planning approaches and to be open by design to new data sources and evaluation methods. For the methodological background of forest inventories see Kangas and Maltamo (2006) "Forest Inventory: Methodology and Applications" <doi:10.1007/1-4020-4381-3>.
Author: Peter Biber [aut, cre] , Astor Torano Caicoya [aut]
Maintainer: Peter Biber <peter.biber@lwf.bayern.de>

Diff between FeNEU versions 3.0.2 dated 2026-09-09 and 3.0.3 dated 2026-10-15

 DESCRIPTION                                               |   13 
 MD5                                                       |   49 +--
 NEWS.md                                                   |   80 ++++
 R/convert_and_plausis.R                                   |   14 
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 R/import_helpers_build.R                                  |   10 
 R/import_sample_concentric_format1_raw_to_pre.R           |    9 
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 R/inv_increment_fill_gaps_gnfi3.R                         |   26 +
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 vignettes/data_formats.Rmd                                |    4 
 27 files changed, 840 insertions(+), 136 deletions(-)

More information about FeNEU at CRAN
Permanent link

Package semPower updated to version 2.2.0 with previous version 2.1.3 dated 2025-08-22

Title: Power Analyses for SEM
Description: Provides a-priori, post-hoc, and compromise power-analyses for structural equation models (SEM).
Author: Morten Moshagen [aut, cre] , Martina Bader [aut]
Maintainer: Morten Moshagen <morten.moshagen@uni-ulm.de>

Diff between semPower versions 2.1.3 dated 2025-08-22 and 2.2.0 dated 2026-10-15

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Permanent link

New package RTrino with initial version 0.1.0
Package: RTrino
Title: 'DBI' Backend for 'Trino'
Version: 0.1.0
Description: A 'DBI' compliant backend for 'Trino' <https://trino.io>, the distributed SQL query engine (successor of 'PrestoSQL'). Connects to a 'Trino' cluster over its HTTP REST API, executes queries with automatic pagination, maps 'Trino' types to R types, and integrates with 'dplyr' through 'dbplyr' SQL dialects. Supports basic, JSON Web Token (JWT) bearer and OAuth2 client credentials authentication, as well as custom certificate authorities.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: bit64, DBI (>= 1.2.0), httr2 (>= 1.0.0), jsonlite, methods, rlang, tibble, utils
Suggests: dbplyr (>= 2.6.0), dplyr, knitr, rmarkdown, testthat (>= 3.0.0), webfakes, withr
URL: https://angelcasasbl.github.io/RTrino/, https://github.com/AngelCasasbl/RTrino
BugReports: https://github.com/AngelCasasbl/RTrino/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-02 20:50:39 UTC; Sabbag Radiologos
Author: Luis A Casas Ballestas [aut, cre, cph]
Maintainer: Luis A Casas Ballestas <luisangelcasasbl@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-15 10:00:02 UTC

More information about RTrino at CRAN
Permanent link

Package multiplex updated to version 4.2 with previous version 4.0 dated 2026-07-30

Title: Algebraic Tools for the Analysis of Multiple Social Networks
Description: Algebraic procedures for analyses of multiple social networks are provided with this package as described in Ostoic (2020) <DOI:10.18637/jss.v092.i11>. 'multiplex' supports the creation and analysis of multiplex, multimode, and multilevel network data in various formats. It combines methods based on partially ordered semigroups, decomposition procedures, semiring structures, and relational bundles for multivariate network analysis. It also provides an algebraic approach to affiliation networks using Galois derivations, with visualization options.
Author: Antonio Rivero Ostoic [aut, cre]
Maintainer: Antonio Rivero Ostoic <multiplex@post.com>

Diff between multiplex versions 4.0 dated 2026-07-30 and 4.2 dated 2026-10-15

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Permanent link

New package ggcolonviz with initial version 0.0.6
Package: ggcolonviz
Title: A 'ggplot2' Extension for Visualizing the Colon
Version: 0.0.6
SystemRequirements: GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0), sqlite3
Description: Provides a 'ggplot2' extension for creating clear, customizable visualizations of the colon. Includes geometry and label layers for plotting colon anatomy and overlaying related data, along with helpers for converting colon segments to 'sf' polygons and generating heatmap grids across the colon geometry.
License: Apache License (>= 2)
Copyright: file inst/NOTICE
Encoding: UTF-8
URL: https://github.com/Sanofi-Public/ggcolonviz
BugReports: https://github.com/Sanofi-Public/ggcolonviz/issues
Depends: R (>= 4.2.0)
Imports: ggplot2, sf, dplyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-02 19:52:42 UTC; u1037187
Author: Yoni Sidi [aut, cre], Sanofi [cph]
Maintainer: Yoni Sidi <yoni.sidi@sanofi.com>
Repository: CRAN
Date/Publication: 2026-10-15 09:40:10 UTC

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New package censusindia with initial version 0.2.0
Package: censusindia
Title: Census of India Data, 1901-2011, with Boundaries and Projections
Version: 0.2.0
Description: Tables from every decennial Census of India from 1901 to 2011: population time series, Primary Census Abstracts at state, district and sub-district level, mother tongue tables, and Scheduled Caste and Scheduled Tribe populations, together with Ministry of Health and Family Welfare population projections to 2036. Historical series are drawn from Jolad and Singh (2026) <doi:10.7910/DVN/ON8CP8>. Census variables can be returned with state or district boundaries of the matching census year attached for mapping. Boundary files and the largest village-level tables are downloaded on first use and cached locally.
License: MIT + file LICENSE
Copyright: See file COPYRIGHTS for the data included in and downloaded by this package.
URL: https://censusindia.saketlab.org/, https://github.com/saketlab/censusindia
BugReports: https://github.com/saketlab/censusindia/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, rlang (>= 1.0.0), sf, stats, stringr, tibble, tools, utils
Suggests: curl, ggplot2, patchwork, s2, scales, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-10-02 20:08:09 UTC; mcclintock
Author: Saket Choudhary [aut, cre, cph]
Maintainer: Saket Choudhary <saketc@iitb.ac.in>
Repository: CRAN
Date/Publication: 2026-10-15 09:40:15 UTC

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Package togglr updated to version 1.0.0 with previous version 0.2.1 dated 2024-02-19

Title: Client for the 'Toggl Track' API
Description: Read and write time entries, projects and clients of the 'Toggl Track' time tracker <https://toggl.com> from R, and download its reports. Reads never return silently truncated or empty results: HTTP errors are raised, the hourly quota and rate limits are respected, and paginated reports are checked for completeness.
Author: Vincent Guyader [aut, cre], ThinkR [cph, fnd]
Maintainer: Vincent Guyader <vincent@thinkr.fr>

Diff between togglr versions 0.2.1 dated 2024-02-19 and 1.0.0 dated 2026-10-15

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Package maptiles updated to version 0.13.0 with previous version 0.12.0 dated 2026-07-23

Title: Download and Display Map Tiles
Description: To create maps from tiles, 'maptiles' downloads, composes and displays tiles from a large number of providers (e.g. 'OpenStreetMap', 'Stadia', 'Esri', 'CARTO', or 'Thunderforest').
Author: Timothee Giraud [cre, aut] , Diego Hernangomez [ctb] , Robert J. Hijmans [ctb] , Hugh A. Graham [ctb], Miles McBain [cph]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

Diff between maptiles versions 0.12.0 dated 2026-07-23 and 0.13.0 dated 2026-10-15

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More information about maptiles at CRAN
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Package rbmi updated to version 1.7.0 with previous version 1.6.1 dated 2026-07-22

Title: Reference Based Multiple Imputation
Description: Implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular, this package supports deterministic conditional mean imputation and jackknifing as described in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum likelihood imputation as described in von Hippel and Bartlett (2021) <doi:10.1214/20-STS793>.
Author: Lukas A. Widmer [aut, cre] , Craig Gower-Page [aut], Isaac Gravestock [aut] , Alessandro Noci [aut], Marcel Wolbers [aut] , Daniel Sabanes Bove [aut] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Lukas A. Widmer <lukas_andreas.widmer@novartis.com>

Diff between rbmi versions 1.6.1 dated 2026-07-22 and 1.7.0 dated 2026-10-15

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Package PhytoIn readmission to version 0.2.1 with previous version 0.2.0 dated 2025-10-01

Title: Vegetation Analysis and Forest Inventory
Description: Provides functions and example datasets for phytosociological analysis, forest inventory, biomass and carbon estimation, and visualization of vegetation data. Includes functions to compute structural parameters [phytoparam(), summary.param(), stats()], estimate above-ground biomass and carbon [AGB()], stratify wood volume by diameter at breast height (DBH) classes [stratvol()], generate collector and rarefaction curves [collector.curve(), rarefaction()], and visualize basal areas on quadrat maps [BAplot(), including rectangular plots and individual coordinates]. Several example datasets are provided to demonstrate the functionality of these tools. For more details see FAO (1981, ISBN:92-5-101132-X) "Manual of forest inventory", IBGE (2012, ISBN:9788524042720) "Manual técnico da vegetação brasileira" and Heringer et al. (2020) "Phytosociology in R: A routine to estimate phytosociological parameters" <doi:10.22533/at.ed.3552009033>.
Author: Rodrigo Augusto Santinelo Pereira [aut, cre]
Maintainer: Rodrigo Augusto Santinelo Pereira <raspereira@usp.br>

This is a re-admission after prior archival of version 0.2.0 dated 2025-10-01

Diff between PhytoIn versions 0.2.0 dated 2025-10-01 and 0.2.1 dated 2026-10-15

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More information about PhytoIn at CRAN
Permanent link

Package DNNSIM updated to version 0.2.1 with previous version 0.1.1 dated 2025-01-07

Title: Single-Index Neural Network for Skewed Heavy-Tailed Data
Description: Provides a deep neural network model with a monotonic increasing single index function tailored for periodontal disease studies. The residuals are assumed to follow a skewed T distribution, a skewed normal distribution, or a normal distribution. More details can be found at Liu, Wang, Bai and Bandyopadhyay (2026) <doi:10.1093/biostatistics/kxag040>.
Author: Qingyang Liu [aut, cre] , Shijie Wang [aut], Ray Bai [aut] , Dipankar Bandyopadhyay [aut]
Maintainer: Qingyang Liu <rh8liuqy@gmail.com>

Diff between DNNSIM versions 0.1.1 dated 2025-01-07 and 0.2.1 dated 2026-10-15

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More information about DNNSIM at CRAN
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Package gt updated to version 1.4.0 with previous version 1.3.0 dated 2026-01-22

Title: Easily Create Presentation-Ready Display Tables
Description: Build display tables from tabular data with an easy-to-use set of functions. With its progressive approach, we can construct display tables with a cohesive set of table parts. Table values can be formatted using any of the included formatting functions. Footnotes and cell styles can be precisely added through a location targeting system. The way in which 'gt' handles things for you means that you don't often have to worry about the fine details.
Author: Richard Iannone [aut, cre] , Joe Cheng [aut], Barret Schloerke [aut] , Shannon Haughton [aut], Ellis Hughes [aut] , Alexandra Lauer [aut] , Romain Francois [aut], JooYoung Seo [aut] , Ken Brevoort [aut] , Olivier Roy [aut], Posit Software, PBC [cph, [...truncated...]
Maintainer: Richard Iannone <rich@posit.co>

Diff between gt versions 1.3.0 dated 2026-01-22 and 1.4.0 dated 2026-10-15

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Package ecr updated to version 2.1.1.1 with previous version 2.1.1 dated 2023-03-08

Title: Evolutionary Computation in R
Description: Framework for building evolutionary algorithms for both single- and multi-objective continuous or discrete optimization problems. A set of predefined evolutionary building blocks and operators is included. Moreover, the user can easily set up custom objective functions, operators, building blocks and representations sticking to few conventions. The package allows both a black-box approach for standard tasks (plug-and-play style) and a much more flexible white-box approach where the evolutionary cycle is written by hand.
Author: Jakob Bossek [aut, cre, cph], Michael H. Buselli [ctb, cph], Wessel Dankers [ctb, cph], Carlos M. Fonseca [ctb, cph], Manuel Lopez-Ibanez [ctb, cph], Luis Paquete [ctb, cph], Joshua Knowles [ctb, cph], Eckart Zitzler [ctb, cph], Olaf Mersmann [ctb]
Maintainer: Jakob Bossek <j.bossek@gmail.com>

Diff between ecr versions 2.1.1 dated 2023-03-08 and 2.1.1.1 dated 2026-10-15

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Package conformalForecast updated to version 0.2.0 with previous version 0.1.1 dated 2026-01-15

Title: Conformal Prediction Methods for Multistep-Ahead Time Series Forecasting
Description: Methods and tools for performing multistep-ahead time series forecasting using conformal prediction methods including classical conformal prediction, adaptive conformal prediction, conformal PID (Proportional-Integral-Derivative) control, and autocorrelated multistep-ahead conformal prediction. The methods were described by Wang and Hyndman (2024) <doi:10.48550/arXiv.2410.13115>.
Author: Xiaoqian Wang [aut, cre, cph] , Rob Hyndman [aut] , Daniele Girolimetto [aut]
Maintainer: Xiaoqian Wang <Xiaoqian.Wang@amss.ac.cn>

Diff between conformalForecast versions 0.1.1 dated 2026-01-15 and 0.2.0 dated 2026-10-15

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Package approxOT updated to version 1.3 with previous version 1.2 dated 2025-01-09

Title: Approximate and Exact Optimal Transport Methods
Description: R and C++ functions to perform exact and approximate optimal transport. All C++ methods can be linked to other R packages via their header files.
Author: Eric Dunipace [aut, cre] , Andrew Johnson [ctb] , Espen Bernton [ctb] , Mathieu Gerber [ctb] , Pierre Jacob [ctb] , Dominic Schuhmacher [ctb] , Nicolas Bonneel [ctb]
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>

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

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

2021-08-06 0.1.2
2021-02-11 0.1.1
2020-07-16 0.1.0
2019-07-02 0.0.1

Permanent link

Wed, 14 Oct 2026

Package FastSurvival updated to version 1.2.0 with previous version 1.1.0 dated 2026-10-08

Title: Fast Survival Analysis and Simulation for Clinical Trials
Description: Provides fast alternatives to standard survival analysis functions in the 'survival' package, together with tools for time-to-event trial simulation and sequential analysis. The estimation and testing functions cover a single-time-point Kaplan-Meier estimator (survfit_fast()), log-rank tests including weighted and stratified variants (survdiff_fast()), a closed-form hazard ratio estimator based on the Pike-Halley Estimator method (coxph_fast()), restricted mean survival time (rmst_fast()), window mean survival time (wmst_fast()), milestone survival comparison (milestone_fast()), median survival time (medsurv_fast()), the max-combo test (maxcombo_fast()), the robust modestly-weighted log-rank test (rmw_fast()), the weighted Kaplan-Meier (Pepe-Fleming) test (wkm_fast()), the average hazard with survival weight (ahsw_fast()), and the Kalbfleisch-Prentice average hazard ratio (ahr_fast()). Besides vectors, these functions accept a model formula with a data frame, and their results can be r [...truncated...]
Author: Gosuke Homma [aut, cre]
Maintainer: Gosuke Homma <my.name.is.gosuke@gmail.com>

Diff between FastSurvival versions 1.1.0 dated 2026-10-08 and 1.2.0 dated 2026-10-14

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Package BaSTA updated to version 2.0.3 with previous version 2.0.2 dated 2025-06-13

Title: Age-Specific Bayesian Survival Trajectory Analysis from Incomplete Census or Capture-Recapture/Recovery Data
Description: Estimates survival and mortality with covariates and random effects from census or capture-recapture/recovery data in a Bayesian framework when many individuals are of unknown age. It includes tools for data checking, model diagnostics and outputs such as life-tables and plots, as described in Colchero, Jones, and Rebke (2012) <doi:10.1111/j.2041-210X.2012.00186.x> and Colchero et al. (2021) <doi:10.1038/s41467-021-23894-3>.
Author: Fernando Colchero [aut, cre], Owen Jones [ctb]
Maintainer: Fernando Colchero <fernando_colchero@eva.mpg.de>

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Package stratifyR updated to version 2.0-2 with previous version 2.0-1 dated 2026-09-10

Title: Optimal Stratification of Univariate Populations
Description: Determines Optimum Strata Boundaries (OSB) and Optimum Sample Sizes (OSS) for univariate stratified sampling designs under Neyman allocation. The stratification variable is described by a best-fitting parametric distribution, selected automatically by AIC from a set of continuous families (normal, log-normal, gamma, Weibull, exponential, Cauchy, uniform, Pareto, triangular and right-triangular), and the optimum boundaries are obtained by minimising the Neyman objective. Version 2.0 keeps the Dynamic Programming (DP) solver of Reddy and Khan (2020), which is globally optimal for the fitted distribution, as the default. It adds two fast derivative-free solvers, a multi-start 'COBYLA' solver and a two-phase global solver that couples 'DIRECT-L' with 'BOBYQA' refinement, and an exact solver that runs dynamic programming on the sorted data and returns the partition with the smallest empirical Neyman cost. It also provides cost-constrained allocation with unequal per-stratum costs, a desi [...truncated...]
Author: Karuna G. Reddy [aut, cre] , M. G. M. Khan [aut]
Maintainer: Karuna G. Reddy <karuna.reddy@auckland.ac.nz>

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Package roger updated to version 1.6-0 with previous version 1.5-1 dated 2023-10-24

Title: Automated Grading of R Scripts
Description: Tools for grading the coding style and documentation of R scripts. This is the R component of Roger the Omni Grader, an automated grading system for computer programming projects based on Unix shell scripts; see <https://gitlab.com/roger-project>. The package also provides an R interface to the shell scripts. Inspired by the lintr package.
Author: Vincent Goulet [aut, cre], Samuel Frechette [aut], Jean-Christophe Langlois [aut], Jim Hester [ctb]
Maintainer: Vincent Goulet <vincent.goulet@act.ulaval.ca>

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Package essentialstools updated to version 0.1.8 with previous version 0.1.7 dated 2026-06-04

Title: Datasets and Utilities for Essentials of Statistics for the Behavioral Sciences
Description: Provides instructional datasets and simple wrapper functions for selected analyses used in 'Essentials of Statistics for the Behavioral Sciences' (Gravetter et al., 2026). The package is intended to support textbook examples by distributing data in a form that is easy for students and instructors to access within R. Current functionality includes packaged datasets and convenience wrappers for functions from 'ez', 'pwr', and 'WebPower' for analysis of variance and statistical power calculations.
Author: James Witnauer [aut, cre]
Maintainer: James Witnauer <jwitnaue@brockport.edu>

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Package SemNetDictionaries updated to version 0.3.0 with previous version 0.2.1 dated 2025-05-08

Title: Dictionaries for the 'SemNetCleaner' Package
Description: Implements dictionaries that can be used in the 'SemNetCleaner' package. Also includes several functions aimed at facilitating the text cleaning analysis in the 'SemNetCleaner' package. This package is designed to integrate and update word lists and dictionaries based on each user's individual needs by allowing users to store and save their own dictionaries. Dictionaries can be added to the 'SemNetDictionaries' package by submitting user-defined dictionaries to <https://github.com/AlexChristensen/SemNetDictionaries>.
Author: Alexander P. Christensen [aut, cre]
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>

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Package nlmixr2est updated to version 7.2.1 with previous version 7.2.0 dated 2026-10-13

Title: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Wenping Wang [aut], Audrey Lavenu [ctb], Ben Goodrich [ctb], David Ardia [cph], Dirk Eddelbuettel [cph], Elizabeth Eskow [ctb], Emmanuelle Comets [ctb], Hadley Wickham [ctb], Hajar Besbassi [ctb], Hidde van de Beek [ctb], [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package rsynthbio updated to version 4.2.2 with previous version 4.2.1 dated 2026-10-13

Title: Synthesize Bio API Wrapper
Description: Access Synthesize Bio models from their API <https://app.synthesize.bio/> using this wrapper that provides a convenient interface to the Synthesize Bio API, allowing users to generate realistic gene expression data based on specified biological conditions. This package enables researchers to easily access AI-generated transcriptomic data for various modalities including bulk RNA-seq, single-cell RNA-seq, microarray data, and more.
Author: Synthesize Bio [aut], Alex David [aut, cre]
Maintainer: Alex David <alex@synthesize.bio>

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Package PP updated to version 1.0.0 with previous version 0.6.4-1 dated 2026-04-21

Title: Person Parameter Estimation
Description: Estimation of person parameters (abilities) for the 1, 2, 3 and 4 parameter logistic model, the (generalized) partial credit model and tests that mix dichotomous and polytomous items, under the assumption that the item parameters are known and fixed: maximum likelihood, weighted likelihood (Warm, 1989 <doi:10.1007/BF02294627>), maximum and expected a posteriori and robust estimation (Schuster and Yuan, 2011 <doi:10.3102/1076998610396890>). Further features are jackknife estimates (Wainer and Wright, 1980 <doi:10.1007/BF02293910>), plausible values, the person fit statistics lz, lz* (Snijders, 2001 <doi:10.1007/BF02294437>), infit and outfit, and the simulation of response data. Models fitted with the 'eRm' package can be passed on directly. The package is useful, e.g., when items of an item bank are given to a new sample of persons.
Author: Manuel Reif [cre, aut], Jan Steinfeld [aut]
Maintainer: Manuel Reif <manuel.reif@gmail.com>

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Package linearModel updated to version 1.1.1 with previous version 1.0.2 dated 2022-01-04

Title: Linear Model Functions
Description: Functions to access and test results from a linear model.
Author: Jared Studyvin [aut, cre]
Maintainer: Jared Studyvin <studyvinstat@gmail.com>

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Package dynamicmultiplex updated to version 1.4.0 with previous version 1.3.1 dated 2026-09-24

Title: Tracking Communities in Changing Temporal Networks
Description: Tools for temporal networks that change over time, where nodes enter and leave, groups form, split, merge and dissolve, and periods differ in size. The temporal fitters track nodes and communities across periods. A community keeps one identifier while it persists, and a newly formed group receives a new one. Two-stage fitters run Louvain or Leiden community detection in each period and link communities in linked periods by Jaccard similarity, the overlap coefficient or node-strength weighted variants. The 'layer_links' argument sets which periods are directly linked, adjacent periods only by default. By default all periods are fitted jointly, so later periods can change earlier labels, and tracking = 'filtered' prevents this. Multislice modularity (Mucha et al. 2010) <doi:10.1126/science.1184819> and Hungarian matching are included as comparison methods, and a bootstrap stability score helps choose between the two-stage and multislice approaches.
Author: Jared Edgerton [aut, cre]
Maintainer: Jared Edgerton <jared.edgerton@gmail.com>

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Package officer updated to version 0.7.7 with previous version 0.7.6 dated 2026-07-16

Title: Manipulation of Microsoft Word and PowerPoint Documents
Description: Access and manipulate 'Microsoft Word', 'RTF' and 'Microsoft PowerPoint' documents from R. The package focuses on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. The package does not require any installation of Microsoft products to be able to write Microsoft files.
Author: David Gohel [aut, cre], Stefan Moog [aut], Mark Heckmann [aut] , ArData [cph], Frank Hangler [ctb] , Liz Sander [ctb] , Anton Victorson [ctb] , Jon Calder [ctb] , John Harrold [ctb] , John Muschelli [ctb] , Bill Denney [ctb] , Nikolai Beck [ctb] , Gr [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package dbSpatial updated to version 0.1.3 with previous version 0.1.2 dated 2026-06-23

Title: Spatial Data Operations for Database-Backed Geometries
Description: Provides database-backed spatial geometry classes and methods for working with vector spatial data in 'DuckDB'. The package supports loading, converting, querying, joining, and measuring spatial geometries through familiar 'sf'-style interfaces while keeping geometry columns lazy inside the database. It integrates with 'dbProject' to preserve database paths, live connections, and spatial table metadata across interactive sessions. The package follows the Simple Features framework described by Pebesma (2018) <doi:10.32614/RJ-2018-009> and uses DuckDB's spatial extension <https://duckdb.org/docs/stable/core_extensions/spatial/overview.html>.
Author: Edward C. Ruiz [aut, cre] , Jiaji George Chen [aut], Ruben Dries [aut, rev]
Maintainer: Edward C. Ruiz <ecr7407@gmail.com>

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Package MDgof updated to version 1.2.1 with previous version 1.2.0 dated 2026-09-18

Title: Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions
Description: Provides multivariate goodness-of-fit testing with a common interface for several test statistics. Null models may be simple or include parameter estimation, with p-values obtained by parametric bootstrap simulation. The function gof_test_adjusted_pvalue() combines several tests and computes a p-value adjusted for simultaneous inference. The function gof_power() estimates test power. The functions hybrid_test() and hybrid_power() use Monte Carlo samples under the null together with two-sample procedures. The function run.studies() supports systematic power comparisons of user-supplied and included methods across case studies. See the included vignettes for method details and references.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

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Package MD2sample updated to version 1.4.1 with previous version 1.4.0 dated 2026-09-15

Title: Various Methods for the Two Sample Problem in D>1 Dimensions
Description: The routine twosample_test() in this package runs the two-sample test using various test statistic for multivariate data. The user can also run several tests and then find a p value adjusted for simultaneous inference. The p values are found via permutation or via the parametric bootstrap. The routine twosample_power() allows the estimation of the power of the tests. The routine run.studies() allows a user to quickly study the power of a new method and how it compares to those included in the package. For details of the methods and references see the included vignettes.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

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Package acR updated to version 0.4.0 with previous version 0.3.4 dated 2026-09-09

Title: Content Analysis in R: Integrated Qualitative (LLMs) and Quantitative Pipeline
Description: Provides an integrated pipeline for content analysis combining qualitative coding assisted by large language models (LLMs) with classical quantitative text analysis. Includes modules for pre-processing (tokenization, stopwords for Brazilian Portuguese), descriptive statistics, keyness, co-occurrence networks, word clouds (including comparative and X-ray variants), sentiment analysis via OpLexicon, Latent Dirichlet Allocation (LDA), inter-coder reliability metrics (Krippendorff, Gwet), and modern visualizations based on ggplot2. Special focus on Brazilian corpora and political-institutional codebooks. Inspired by Maerz and Benoit (2025) <https://quallmer.github.io/quallmer/>.
Author: Anderson Henrique [aut, cre]
Maintainer: Anderson Henrique <anderson.henrique@usp.br>

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More information about acR at CRAN
Permanent link

Package soilKey updated to version 0.9.259 with previous version 0.9.184 dated 2026-07-07

Title: Automated Soil Profile Classification per WRB 2022, 'SiBCS' 5 and USDA Soil Taxonomy 13
Description: Implements deterministic classification keys for the World Reference Base for Soil Resources 2022 (4th edition) and the Brazilian System of Soil Classification ('SiBCS', 5th edition). Provides a unified profile representation with explicit per-attribute provenance, multimodal extraction from field reports and photos via vision-language models, spatial priors from 'SoilGrids' and national soil maps, and gap-filling of soil attributes from Vis-NIR or MIR spectra via the Open Soil Spectral Library ('OSSL'). The taxonomic key itself is never delegated to a language model; LLMs are restricted to schema-validated extraction. Each classification result reports a key trace, a provenance-aware evidence grade, and ambiguities that further measurement would resolve.
Author: Hugo Rodrigues [aut, cre, cph]
Maintainer: Hugo Rodrigues <rodrigues.machado.hugo@gmail.com>

Diff between soilKey versions 0.9.184 dated 2026-07-07 and 0.9.259 dated 2026-10-14

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Package saferDev updated to version 2.0.0 with previous version 1.0.0 dated 2026-06-08

Title: Function and Pipeline Development
Description: Set of functions that perform checks according to the safer-r project recommendations for R function development (see <https://github.com/safer-r>). This includes checking argument values, ensuring correct specification of all mandatory arguments for embedded functions, as well as their explicit package namespace qualification, among other things.
Author: Haiding Wang [ctb], Yushi Han [ctb], Mia Legras [ctb], Gael Millot [cre, aut, ctb]
Maintainer: Gael Millot <gael.millot@pasteur.fr>

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Package Rdune updated to version 1.1.2 with previous version 1.1.1 dated 2024-07-29

Title: 'Creates Color Palettes Inspired by Dune'
Description: Enables the use of color palettes inspired by the 'Dune' movies. These palettes are compatible with 'ggplot2'. See Wickham (2016) <doi:10.1007/978-3-319-24277-4> for more details on 'ggplot2'.
Author: Nicholas Vietto [aut, cre, cph]
Maintainer: Nicholas Vietto <nicholasvietto@gmail.com>

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Package PeerPerformance updated to version 2.4.1 with previous version 2.4.0 dated 2026-08-02

Title: Luck-Corrected Peer Performance Analysis in R
Description: Provides functions to perform the peer performance analysis of funds' returns as described in Ardia and Boudt (2018) <doi:10.1016/j.jbankfin.2017.10.014>. For each fund, the package estimates the proportion of peers it outperforms, is equalled by, and is outperformed by, correcting for luck with the false discovery approach of Storey (2002) <doi:10.1111/1467-9868.00346>. Screenings can be based on factor-model alphas, Sharpe ratios, or modified Sharpe ratios, the latter using the equality test of Ardia and Boudt (2015) <doi:10.1016/j.frl.2015.02.008>. Funds can be screened within a universe or against a separate peer group, over rolling windows, and results come with peer-bootstrap intervals, summary, plot, and tidy data frame methods.
Author: David Ardia [aut, cre, cph, fnd] , Nabil Bouamara [ctb], Kris Boudt [aut] , Sebastien Legros [ctb], Murilo Andre Peres Pereira [ctb] , Benjamin Seguin [ctb]
Maintainer: David Ardia <david.ardia.ch@gmail.com>

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Package BOLDNODE updated to version 1.0.1 with previous version 1.0.0 dated 2026-09-09

Title: Search and Explore BOLD Data Packages Efficiently
Description: Provides efficient tools for exploring and transforming the Barcode of Life Data Systems (BOLD) data packages on local machines. It enables fast local querying of the data packages without relying on live API calls. Results can be easily converted into formats compatible with widely used R packages and third party tools.
Author: Sameer Padhye [aut, cre], Spencer K. Monckton [aut], Dirk Steinke [ctb], Jireh Agda [ctb], Teresita M. Porter [ctb]
Maintainer: Sameer Padhye <spadhye@uoguelph.ca>

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Package bild updated to version 1.3-0 with previous version 1.2-1 dated 2023-11-03

Title: A Package for BInary Longitudinal Data
Description: Performs logistic regression for binary longitudinal data, allowing for serial dependence among observations from a given individual and a random intercept term. Estimation is via maximization of the exact likelihood of a suitably defined model. Missing values and unbalanced data are allowed, with some restrictions. M. Helena Goncalves et al. (2012) <DOI: 10.18637/jss.v046.i09>.
Author: M. Helena Goncalves [aut, cre] , M. Salome Cabral [aut], Adelchi Azzalini [aut], R. Piessens [ctb] , E. de Doncker [ctb]
Maintainer: M. Helena Goncalves <mhgoncal@ualg.pt>

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Package fwb updated to version 1.0.0 with previous version 0.6.0 dated 2026-05-29

Title: Fractional Weighted Bootstrap
Description: An implementation of the fractional weighted bootstrap to be used as a drop-in for functions in the 'boot' package. The fractional weighted bootstrap (also known as the Bayesian bootstrap) involves drawing weights randomly that are applied to the data rather than resampling units from the data. See Xu et al. (2020) <doi:10.1080/00031305.2020.1731599> for details.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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Package dsdp readmission to version 0.1.3 with previous version 0.1.2 dated 2026-08-21

Title: Density Estimation with Semidefinite Programming
Description: The models of probability density functions are Gaussian or exponential distributions with polynomial correction terms. Using a maximum likelihood method, 'dsdp' computes parameters of Gaussian or exponential distributions together with degrees of polynomials by a grid search, and coefficient of polynomials by a variant of semidefinite programming. It adopts Akaike Information Criterion for model selection. See a vignette for a tutorial and more on our 'Github' repository <https://github.com/tsuchiya-lab/dsdp/>.
Author: Satoshi Kakihara [aut, cre], Takashi Tsuchiya [aut]
Maintainer: Satoshi Kakihara <skakihara@gmail.com>

This is a re-admission after prior archival of version 0.1.2 dated 2026-08-21

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Package dataRetrieval updated to version 2.7.27 with previous version 2.7.26 dated 2026-09-10

Title: Retrieval Functions for USGS and EPA Hydrology and Water Quality Data
Description: Collection of functions to help retrieve U.S. Geological Survey and U.S. Environmental Protection Agency water quality and hydrology data from web services.
Author: Laura DeCicco [aut, cre] , Robert Hirsch [aut] , David Lorenz [aut], Jordan Read [ctb], Jordan Walker [ctb], Lindsay Platt [ctb], David Watkins [aut] , David Blodgett [aut] , Mike Johnson [aut] , Aliesha Krall [ctb] , Lee Stanish [ctb] , Joseph Zemme [...truncated...]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

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Package AV1R updated to version 0.1.4.1 with previous version 0.1.4 dated 2026-10-12

Title: 'AV1' Video Encoding for Biological Microscopy Data
Description: Converts microscopy video and image data (H.264/H.265, AVI/MJPEG, TIFF stacks) to the 'AV1' codec for compact storage, and archives 16-bit image stacks and videos losslessly in the 'FFV1' format. Encoding runs on the GPU via 'Vulkan' or 'VAAPI' when available and falls back to the CPU through 'FFmpeg' and 'SVT-AV1'. Whole experiment folders can be converted at once.
Author: Yuri Baramykov [aut, cre] , The Khronos Group Inc. [cph], FFmpeg developers [cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

Diff between AV1R versions 0.1.4 dated 2026-10-12 and 0.1.4.1 dated 2026-10-14

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Package uteals updated to version 0.0.6 with previous version 0.0.5 dated 2026-07-09

Title: Shared Utilities to Extend the 'teal' Modules
Description: Provides decorators, transformators, and utility functions to extend the 'teal' framework for interactive data analysis applications. Implements methods for data visualization enhancement, statistical data transformations, and workflow integration tools. Designed to support clinical and pharmaceutical research workflows within the 'teal' ecosystem through modular and reusable components.
Author: Nadia Abraham [aut], Chanchal Bhalla [aut], Peyman Eshghi [aut, cre], Pranith Gourisetty [aut], Sohan Lal [aut], Przemyslaw Posiadala [aut], Alina Tselinina [aut], Konrad Pagacz [aut], PHUSE [cph]
Maintainer: Peyman Eshghi <peymaan.es@gmail.com>

Diff between uteals versions 0.0.5 dated 2026-07-09 and 0.0.6 dated 2026-10-14

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Package SLPresElection updated to version 1.1.0 with previous version 1.0.0 dated 2023-01-17

Title: Presidential Election Data of "Sri Lanka" from 1982 to 2019
Description: Provides Sri Lankan presidential election results for 1982, 1988, 1994, 1999, 2005, 2010, 2015, and 2019. The datasets contain candidate vote counts, reported percentages, and summary statistics for polling divisions and district results, including postal and displaced votes where available. Results were extracted from PDF documents and prepared in a consistent tabular format.
Author: Amalan Mahendran [aut, cre]
Maintainer: Amalan Mahendran <amalan0595@gmail.com>

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New package sandwichrand with initial version 1.0.0
Package: sandwichrand
Title: Sandwich Mixed Randomization for Allocation Sequence Generation
Version: 1.0.0
Description: Generates allocation sequences for randomized controlled trials using the sandwich mixed randomization (SMR) scheme, together with verification, diagnostics, and release utilities.
License: Apache License (>= 2.0)
Encoding: UTF-8
URL: https://github.com/wangbshun/sandwichrand
BugReports: https://github.com/wangbshun/sandwichrand/issues
Depends: R (>= 3.6.0)
Imports: graphics, parallel, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-01 03:25:47 UTC; DELL
Author: Bingshun Wang [aut, cre] , Jinliang Xie [ctb], Wei Wang [ctb]
Maintainer: Bingshun Wang <wangbshun@foxmail.com>
Repository: CRAN
Date/Publication: 2026-10-14 15:40:09 UTC

More information about sandwichrand at CRAN
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Package RBMRB readmission to version 3.0.0 with previous version 2.1.7 dated 2021-07-11

Title: Interface to the Biological Magnetic Resonance Data Bank ('BMRB')
Description: A comprehensive interface to the Biological Magnetic Resonance Data Bank ('BMRB') <https://bmrb.io>, mirroring all functionality of the 'PyBMRB' 'Python' package (v3.0). Provides four modules: (1) 'ChemicalShift' for fetching per-entry chemical shift data from the 'BMRB' 'REST' 'API' or local 'NMR-STAR' files; (2) 'ChemicalShiftStatistics' for database-wide statistical queries; (3) Spectra for simulating '1H-15N' 'HSQC', '1H-13C' 'HSQC', '1H-1H' 'TOCSY', and generic 2D 'NMR' spectra as interactive plots; and (4) Histogram for chemical shift distribution visualizations with optional filtering by pH, temperature, and ambiguity code. All interactive plots are rendered via 'plotly'. Uses the 'BMRB' REST API v2 <https://api.bmrb.io/v2/>.
Author: Kumaran Baskaran [aut, cre]
Maintainer: Kumaran Baskaran <baskaran@uchc.edu>

This is a re-admission after prior archival of version 2.1.7 dated 2021-07-11

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Package gkrreg updated to version 0.5.0 with previous version 0.4.0 dated 2026-06-17

Title: Gaussian Kernel Robust Regression (GKRReg)
Description: Implements the Gaussian Kernel Robust Regression (GKRReg / GKRR) method proposed by De Carvalho, Lima Neto and Ferreira (2017) <doi:10.1016/j.neucom.2016.12.035>. The method re-weights observations iteratively using the Gaussian kernel so that poorly-fitted observations (outliers, leverage points) receive small weights, yielding resistance to Y-space outliers, X-space outliers and leverage points. Convergence is guaranteed by Propositions 4.1 and 4.2 of the original paper. Four estimators for the kernel width hyper-parameter are provided (S1: Caputo, S2: pairwise median, S3: residual variance, S4: corrected Akaike bandwidth), together with a data-driven selection rule. Inference is provided by a sandwich variance estimator with a family of heteroskedasticity-consistent finite-sample corrections adapted to the weighted leverage of the method, or by a pairs bootstrap that re-estimates the kernel width on each replicate (percentile, normal and bias-corrected accelerated intervals wi [...truncated...]
Author: Eufrasio de Andrade Lima Neto [aut], Marcelo Rodrigo Portela Ferreira [aut, cre]
Maintainer: Marcelo Rodrigo Portela Ferreira <marcelo@de.ufpb.br>

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New package ggaltdata with initial version 0.1.0
Package: ggaltdata
Title: Data-Driven Alternative Text and Data Tables for 'ggplot2' Charts
Version: 0.1.0
Description: Generates alternative text that states what a 'ggplot2' chart shows (highest and lowest values, rankings, trends, gaps between groups, overlap of intervals), a long description and the data table, computed from the data of the chart itself. Output for 'R Markdown', 'Quarto', 'Word', saved images and 'Shiny', in English and Italian.
License: MIT + file LICENSE
URL: https://github.com/fniniv/ggaltdata
BugReports: https://github.com/fniniv/ggaltdata/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: ggplot2 (>= 3.5.2), rlang, stats, utils
Suggests: knitr, officer, rmarkdown, sf, shiny, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-01 23:09:49 UTC; feder
Author: Federico Ninivaggi [aut, cre]
Maintainer: Federico Ninivaggi <fninivdevelopment@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-14 15:22:06 UTC

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New package enviPathR with initial version 1.0.0
Package: enviPathR
Title: Client for the 'enviPath' 'RESTful' API
Version: 1.0.0
Description: The environmental pathway database ('enviPath') is a key resource for the functional annotation and pathway prediction of microbial communities, providing knowledge on biotransformation pathways along with the chemical reactions and produced compounds. This package enables the programmatic access to 'enviPath' by porting the database 'RESTful' API from R. This includes methods to both retrieve entries and predict pathways for custom compounds.
Depends: R (>= 4.1.0)
Imports: BiocParallel, httr2, stats, stringr, tools
Suggests: BiocStyle, ggraph, httptest2, igraph, knitr, rmarkdown, testthat (>= 3.0.0)
License: Artistic-2.0
Encoding: UTF-8
URL: https://envipath.github.io/enviPathR/
BugReports: https://github.com/enviPath/enviPathR/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-02 00:57:41 UTC; giulio
Author: Giulio Benedetti [aut, cre, cph]
Maintainer: Giulio Benedetti <giulio.benedetti@utu.fi>
Repository: CRAN
Date/Publication: 2026-10-14 15:32:06 UTC

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New package cam2model with initial version 0.3.0
Package: cam2model
Title: Preprocessing Trap Camera Data for Machine Learning Models
Version: 0.3.0
Description: Provides tools for preprocessing camera trap image data to prepare it for training machine learning models. It automates tasks such as extracting EXIF metadata, processing and analyzing image attributes, selecting relevant images (e.g., daytime photos), sampling subsets, and managing file organization. These features streamline the workflow for ecological research and wildlife monitoring projects. Additionally, the package includes tools for generating exploratory visualizations and creating annotation datasets.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, tidyr, lubridate, stringr, ggplot2, readr, fs, exifr, rlang, tibble, progressr
Suggests: future, future.apply, knitr, rmarkdown, testthat
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-02 00:31:32 UTC; artu
Author: Edlin Guerra-Castro [aut, cph] , Arturo Sanchez-Porras [aut, cre]
Maintainer: Arturo Sanchez-Porras <sp.arturo@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-14 15:32:11 UTC

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Package SemNeT updated to version 2.1.0 with previous version 2.0.0 dated 2026-09-12

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

Diff between SemNeT versions 2.0.0 dated 2026-09-12 and 2.1.0 dated 2026-10-14

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Package gpuinfo updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-26

Title: Lightweight Hardware and GPU Compute Detection
Description: Detects central processing unit topology, process-available cores, host and container memory, graphics processing unit hardware, and reports the apparent availability of 'CUDA', 'Metal', 'ROCm', and 'OpenCL' compute backends, with a read-only shared-library inventory for the 'CUDA' runtime, 'cuBLAS', 'cuFFT', 'cuSOLVER', 'cuRAND', and optional 'NCCL' libraries. Detection uses operating-system information, documented platform interfaces, and optional command-line utilities, without requiring a GPU framework, 'Python', or a vendor software development kit. Backend interpretation follows the official 'CUDA' <https://docs.nvidia.com/cuda/cuda-driver-api/>, 'Metal' <https://developer.apple.com/documentation/metal>, 'ROCm' <https://rocm.docs.amd.com/>, and 'OpenCL' <https://registry.khronos.org/OpenCL/> documentation. 'NCCL' version inspection follows its documented API <https://docs.nvidia.com/deeplearning/nccl/user-guide/docs/api/comms.html>. Process-level GPU [...truncated...]
Author: Stefano Cacciatore [aut, cre]
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>

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Package maestro updated to version 1.4.0 with previous version 1.3.1 dated 2026-09-15

Title: Orchestration of Data Pipelines
Description: Framework for creating and orchestrating data pipelines. Organize, orchestrate, and monitor multiple pipelines in a single project. Use tags to decorate functions with scheduling parameters and configuration.
Author: Will Hipson [cre, aut, cph] , Ryan Garnett [aut, ctb, cph]
Maintainer: Will Hipson <will.e.hipson@gmail.com>

Diff between maestro versions 1.3.1 dated 2026-09-15 and 1.4.0 dated 2026-10-14

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Package ggimage updated to version 0.3.7 with previous version 0.3.6 dated 2026-09-27

Title: Use Images in 'ggplot2'
Description: Supports image files and graphic objects to be visualized in 'ggplot2' graphic system. Images can be drawn at data points, used as the background of a plot, or embedded as a sub-plot, and can be read from local files or downloaded from remote services such as 'Pokemon', 'PhyloPic', and emoji and icon collections. An interactive geom is provided for 'HTML' output.
Author: Guangchuang Yu [aut, cre, cph] , Shuangbin Xu [ctb] , Yonghe Xia [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between ggimage versions 0.3.6 dated 2026-09-27 and 0.3.7 dated 2026-10-14

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Package EffectStars2 updated to version 0.1-4 with previous version 0.1-3 dated 2019-10-22

Title: Effect Stars
Description: Provides functions for the method of effect stars as proposed by Tutz and Schauberger (2013) <doi:10.1080/10618600.2012.701379>. Effect stars can be used to visualize estimates of parameters corresponding to different groups, for example in multinomial logit models. Beside the main function 'effectstars' there exist methods for special objects, for example for 'vglm' objects from the 'VGAM' package.
Author: Gunther Schauberger [aut, cre]
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>

Diff between EffectStars2 versions 0.1-3 dated 2019-10-22 and 0.1-4 dated 2026-10-14

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Package EffectStars updated to version 1.9-2 with previous version 1.9-1 dated 2019-10-22

Title: Visualization of Categorical Response Models
Description: Notice: The package EffectStars2 provides a more up-to-date implementation of effect stars! EffectStars provides functions to visualize regression models with categorical response as proposed by Tutz and Schauberger (2013) <doi:10.1080/10618600.2012.701379>. The effects of the variables are plotted with star plots in order to allow for an optical impression of the fitted model.
Author: Gunther Schauberger [aut, cre]
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>

Diff between EffectStars versions 1.9-1 dated 2019-10-22 and 1.9-2 dated 2026-10-14

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Package svmf updated to version 1.1 with previous version 1.0 dated 2026-06-18

Title: The Scaled von Mises-Fisher Distribution
Description: Functions to perform maximum likelihood estimation of and random value simulation from the scaled von Mises-Fisher distribution. The distribution is elliptical symmetric and can be applied to spherical and hyper-spherical data. The reference paper is Scealy J.L. and Wood A.T.A. (2019), <doi:10.1080/01621459.2019.1585249>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between svmf versions 1.0 dated 2026-06-18 and 1.1 dated 2026-10-14

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New package publicdataau with initial version 0.4.1
Package: publicdataau
Title: Australian Government Open Data from 'publicdata.au'
Version: 0.4.1
Description: Search, filter, total and download the Australian government open data republished at <https://publicdata.au/>, where every version of a dataset is kept at a URL that never changes. Rows and totals come from the site's query API as typed, labelled 'tibble' data frames, and whole tables from its files in any of twelve formats. Map layers come as 'sf' objects, and rows that carry the code of an area join to the Australian Bureau of Statistics boundaries in one call. The 'DuckDB' file of any version can be attached over the web and queried in place with 'DBI' or 'dplyr'. Downloads can be kept in a cache, since a version never changes, the changes between versions are listed row by row, and the source file, fetch time and checksum of every version are on record. Every answer carries the version it came from and the attribution the publisher's licence requires, and citations come as 'BibTeX'. Any dataset the site serves works by its slug, so a new dataset needs no new release.
License: MIT + file LICENSE
Language: en-GB
URL: https://publicdata.au/
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: httr2 (>= 1.0.0), jsonlite, rlang, tibble
Suggests: arrow, DBI, dbplyr, dplyr, duckdb, knitr, rmarkdown, sf, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-02 19:54:53 UTC; cameron
Author: Cameron Young [aut, cre], National Digital [cph, fnd]
Maintainer: Cameron Young <cameron@nationaldigital.com.au>
Repository: CRAN
Date/Publication: 2026-10-14 12:32:07 UTC

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Permanent link

New package phylopred with initial version 0.1.0
Package: phylopred
Title: Predicting Species Interactions from Phylogenetic Distance
Version: 0.1.0
Description: Tools to model and predict host-parasite (and other pairwise species) interactions from phylogenetic distance under presence-only data. Provides pairwise host-sharing logistic models with cluster-aware bootstrap and slope comparison between clades, presence-only performance metrics (a threshold efficiency metric and a phylogenetic partial receiver operating characteristic (ROC) adapted from Peterson, Papes and Soberon (2008) <doi:10.1016/j.ecolmodel.2007.11.008>), positive-unlabeled host prediction, and leave-hosts-out validation. Methods build on Robles-Fernandez and Lira-Noriega (2017) <doi:10.3389/fams.2017.00017>.
License: MIT + file LICENSE
URL: https://github.com/alrobles/phylopred, https://alrobles.github.io/phylopred/
BugReports: https://github.com/alrobles/phylopred/issues
Encoding: UTF-8
LazyData: true
Imports: graphics, stats, utils, xplus
Suggests: ape, cofid, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-09-30 15:18:57 UTC; alrobles
Author: Angel Robles [aut, cre]
Maintainer: Angel Robles <a.l.robles.fernandez@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-14 12:12:07 UTC

More information about phylopred at CRAN
Permanent link

New package n3d with initial version 0.1.0
Package: n3d
Title: Speaker Diarization with 'Nemotron 3 Diarization' in R 'torch'
Version: 0.1.0
Date: 2026-10-01
Description: Determines "who spoke when" in recorded or streaming audio with a native R 'torch' implementation of the 'NVIDIA' 'Nemotron 3 Diarization' model <https://huggingface.co/nvidia/Nemotron-3-Diarization>, a Streaming 'Sortformer' that tracks up to eight speakers in order of first arrival. Log-mel feature extraction, the transformer encoder and the arrival-order speaker cache are implemented in R; weights are downloaded from 'Hugging Face' with the 'hfhub' package on request.
License: Apache License (>= 2)
Copyright: see inst/COPYRIGHTS
Depends: R (>= 4.4.0)
Imports: torch (>= 0.17.0), safetensors, hfhub, av, utils
Suggests: stats, tinytest
URL: https://github.com/cornball-ai/n3d
BugReports: https://github.com/cornball-ai/n3d/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-02 18:51:37 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph], The HuggingFace Team [cph] ; see inst/COPYRIGHTS)
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-10-14 12:22:07 UTC

More information about n3d at CRAN
Permanent link

Package ibger updated to version 0.2.1 with previous version 0.2.0 dated 2026-07-08

Title: Access the 'IBGE' Aggregate Data API from 'R'
Description: 'Tidyverse'-friendly interface to the Brazilian Institute of Geography and Statistics ('IBGE') aggregate data 'API' <https://servicodados.ibge.gov.br/api/docs/agregados?versao=3>. Query aggregates, variables, localities, periods, and metadata from surveys and censuses conducted by 'IBGE'.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Allan Quadros [rev] , Diana Garcia-Cortes [rev]
Maintainer: Andre Leite <leite@castlab.org>

Diff between ibger versions 0.2.0 dated 2026-07-08 and 0.2.1 dated 2026-10-14

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Permanent link

Package flextable updated to version 0.10.3 with previous version 0.10.1 dated 2026-09-10

Title: Functions for Tabular Reporting
Description: Use a grammar for creating and customizing pretty tables. The following formats are supported: 'HTML', 'PDF', 'Typst', 'RTF', 'Microsoft Word', 'Microsoft PowerPoint', R 'Grid Graphics' and 'patchwork'. 'R Markdown', 'Quarto' and the package 'officer' can be used to produce the result files. The syntax is the same for the user regardless of the type of output to be produced. A set of functions allows the creation, definition of cell arrangement, addition of headers or footers, formatting and definition of cell content with text and or images. The package also offers a set of high-level functions that allow tabular reporting of statistical models and the creation of complex cross tabulations.
Author: David Gohel [aut, cre], ArData [cph], Clementine Jager [ctb], Eli Daniels [ctb], Panagiotis Skintzos [aut], Quentin Fazilleau [ctb], Maxim Nazarov [ctb], Titouan Robert [ctb], Michael Barrowman [ctb], Atsushi Yasumoto [ctb], Paul Julian [ctb], Sean B [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between flextable versions 0.10.1 dated 2026-09-10 and 0.10.3 dated 2026-10-14

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More information about flextable at CRAN
Permanent link

Package curl updated to version 8.1.0 with previous version 8.0.0 dated 2026-08-25

Title: A Modern and Flexible Web Client for R
Description: Bindings to 'libcurl' <https://curl.se/libcurl/> for performing fully configurable HTTP/FTP requests where responses can be processed in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of 'libcurl' is recommended; for a more-user-friendly web client see the 'httr2' package which builds on this package with http specific tools and logic.
Author: Jeroen Ooms [aut, cre] , Hadley Wickham [ctb], Posit Software, PBC [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between curl versions 8.0.0 dated 2026-08-25 and 8.1.0 dated 2026-10-14

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More information about curl at CRAN
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Package BayesSIM updated to version 2.0.0 with previous version 1.0.4 dated 2026-05-13

Title: Integrated Interface of Bayesian Single Index Models using 'nimble'
Description: Provides tools for fitting Bayesian single index models with flexible choices of priors for both the index and the link function. The package implements model estimation and posterior inference using efficient MCMC algorithms built on the 'nimble' framework, allowing users to specify, extend, and simulate models in a unified and reproducible manner. The following methods are implemented in the package: Antoniadis et al. (2004) <https://www.jstor.org/stable/24307224>, Wang (2009) <doi:10.1016/j.csda.2008.12.010>, Choi et al. (2011) <doi:10.1080/10485251003768019>, Dhara et al. (2019) <doi:10.1214/19-BA1170>, McGee et al. (2023) <doi:10.1111/biom.13569>.
Author: Seowoo Jung [aut, cre], Eun-kyung Lee [aut]
Maintainer: Seowoo Jung <jsw1347@ewha.ac.kr>

Diff between BayesSIM versions 1.0.4 dated 2026-05-13 and 2.0.0 dated 2026-10-14

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New package theeuh with initial version 0.1.5
Package: theeuh
Title: Write Spaces to Korean Sentences
Version: 0.1.5
Description: Restores spacing in Korean sentences using a bundled neural network model and 'ONNX Runtime' <https://onnxruntime.ai/> through 'churon'. Inference runs locally without a web service or automatic downloads.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/mrchypark/theeuh, https://mrchypark.github.io/theeuh/
BugReports: https://github.com/mrchypark/theeuh/issues
Depends: R (>= 4.0.0)
Imports: churon (>= 0.1.13)
SystemRequirements: ONNX Runtime (>= 1.28.0, optional at runtime)
Suggests: covr, testthat (>= 3.2.0)
NeedsCompilation: no
Packaged: 2026-10-02 13:47:27 UTC; cypark
Author: Chanyub Park [aut, cre] , Heewon Jeon [aut]
Maintainer: Chanyub Park <mrchypark@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-14 11:10:02 UTC

More information about theeuh at CRAN
Permanent link

New package scNPM with initial version 1.0.6
Package: scNPM
Title: Single-Cell Network Propensity Matching
Version: 1.0.6
Date: 2026-10-02
Description: Estimates and compares heterogeneous gene conditional-dependence networks from single-cell expression data. A latent Gaussian mixture and probit observation mechanism represent cellular heterogeneity and zero observations. Protein interaction information supplies edge-specific prior weights, while network propensity matching links cell clusters across conditions and guides adaptation. Staged inference freezes stable matching, disables feedback, and retains baseline-model samples for posterior group and directional differential edge selection. Functions assess balance, record criterion diagnostics, and visualize within-condition and differential networks.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: Rcpp (>= 1.0.10), Matrix, igraph (>= 1.3.0), ggplot2 (>= 3.3.0), ggrepel (>= 0.9.0), scales (>= 1.2.0), stats, utils, tools
LinkingTo: Rcpp, RcppArmadillo (>= 0.12.6.4.0), RcppParallel (>= 5.1.7)
SystemRequirements: C++17, OpenMP
Depends: R (>= 4.0.0)
URL: https://github.com/taostat1/scNPM_R_package
BugReports: https://github.com/taostat1/scNPM_R_package/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-10-02 13:46:06 UTC; Lenovo
Author: Tao Liu [aut, cre]
Maintainer: Tao Liu <25210690190@m.fudan.edu.cn>
Repository: CRAN
Date/Publication: 2026-10-14 11:20:02 UTC

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New package retroglyph with initial version 0.0.9
Package: retroglyph
Title: A Trusted Mini-Agent to Reconstruct Individual Patient Data from Kaplan-Meier Images
Version: 0.0.9
Description: The enclosed agent reconstructs individual patient data from published Kaplan-Meier curve images. Relative to other Kaplan-Meier reconstruction tools, it excels at untangling egregiously occluded Kaplan-Meier curves, and the digitization phase achieves a high level of pixel precision.
License: MIT + file LICENSE
URL: https://wlandau.github.io/retroglyph/
BugReports: https://github.com/wlandau/retroglyph/issues
Depends: R (>= 4.5.0)
Imports: base64enc, bslib, diffviewer, dplyr, ellmer (>= 0.4.1), htmltools, htmlwidgets, igraph, IPDfromKM, later, magick, markdown, promises, R6, R.utils, shiny, shinychat (>= 0.5.0), stats, survival, tesseract, tibble, tools, utils
Suggests: shinytest2, testthat (>= 3.0.0)
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-02 16:18:17 UTC; C240390
Author: William Michael Landau [aut, cre], Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-14 11:50:02 UTC

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Package plantmix updated to version 1.0.4 with previous version 1.0.3 dated 2026-06-20

Title: Genetic Study of Plant Mixtures
Description: Fit linear mixed models dedicated to the genetic study of plant mixtures, such as those based on general and specific mixing abilities (GMA-SMA) as well as direct and social breeding values (DBV-SBV), also known as direct and indirect genetic effects (DGE-IGE). More details in Forst et al (2019, <doi:10.1016/j.fcr.2019.107571>) for GMA-SMA models, and Salomon et al (2026, <doi:10.1093/genetics/iyag177>) for DBV-SBV models. The package also provides functions to optimize experimental designs, simulate data sets and compute interaction indices.
Author: Timothee Flutre [aut, ctb, cre] , INRAE [cph, fnd], Jerome Enjalbert [ctb] , Emma Forst [ctb] , Maxence Remerand [ctb] , Jemay Salomon [ctb]
Maintainer: Timothee Flutre <timothee.flutre@inrae.fr>

Diff between plantmix versions 1.0.3 dated 2026-06-20 and 1.0.4 dated 2026-10-14

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 R/optim_designs_var_mix.R                    |   30 ++-
 R/plantmix-package.R                         |    4 
 R/uncertainty_RY.R                           |  113 ++++++-----
 R/uncertainty_RYM.R                          |  120 ++++++++----
 R/utils_linear_algebra.R                     |    2 
 R/utils_stat.R                               |   31 +--
 inst/doc/vig1_intro-GMA-SMA.html             |   22 +-
 inst/doc/vig2_GMA-SMA_simul-infer.html       |  144 +++++++-------
 inst/doc/vig3_DBV-SBV_crop-mix_testers.Rmd   |    3 
 inst/doc/vig3_DBV-SBV_crop-mix_testers.html  |  264 +++++++++++++--------------
 man/LER.Rd                                   |    8 
 man/RY.Rd                                    |   14 -
 man/RYM.Rd                                   |    6 
 man/RYP.Rd                                   |   76 ++++++-
 man/RYT.Rd                                   |   10 -
 man/estimRYMRep.Rd                           |   13 -
 man/estimRYRep.Rd                            |    2 
 man/getDesignBinaryCropMix.Rd                |    6 
 man/getDesignBinaryVarMix.Rd                 |   11 +
 man/invvecMixes.Rd                           |    2 
 man/plotDesignCropMix.Rd                     |    3 
 man/plotDesignVarMix.Rd                      |    3 
 man/plotDiallel.Rd                           |   22 ++
 src/TMB/DBV_SBV_crop_mix.hpp                 |   16 -
 src/TMB/include/helper.hpp                   |    2 
 tests/testthat/test_incomp-balanced-design.R |only
 tests/testthat/test_indices.R                |   89 ++++++++-
 tests/testthat/test_mixing_ability.R         |   16 +
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 tests/testthat/test_uncertainty_RYM.R        |only
 tests/testthat/test_utils_stat.R             |   29 ++
 vignettes/vig3_DBV-SBV_crop-mix_testers.Rmd  |    3 
 41 files changed, 1215 insertions(+), 522 deletions(-)

More information about plantmix at CRAN
Permanent link

New package quicopt with initial version 0.1.1
Package: quicopt
Title: Client for the 'Quicopt' Optimization Service
Version: 0.1.1
Description: Author an optimization model — including a model under uncertainty, with random variables, expectations, conditional value at risk and chance constraints — in a native R interface, and solve it with the 'Quicopt' service <https://quicopt.com>. Models are encoded to the service's wire format and solved remotely; no solver is installed locally. Random variables carry distributions or empirical scenario columns taken directly from a data frame, so observed history becomes a stochastic program in one call.
License: Apache License (== 2.0)
Encoding: UTF-8
Imports: curl, jsonlite, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 4.1)
URL: https://quicopt.github.io/quicopt-r/, https://github.com/Quicopt/quicopt-r
BugReports: https://github.com/Quicopt/quicopt-r/issues
NeedsCompilation: no
Packaged: 2026-10-02 13:09:43 UTC; t.bode
Author: Tim Bode [aut, cre, cph]
Maintainer: Tim Bode <t.bode@fz-juelich.de>
Repository: CRAN
Date/Publication: 2026-10-14 11:10:08 UTC

More information about quicopt at CRAN
Permanent link

New package jekylldown with initial version 0.3.4
Package: jekylldown
Title: Create, Build and Serve 'Jekyll' Websites from 'R Markdown' and 'Quarto'
Version: 0.3.4
Description: Do for 'Jekyll' what 'blogdown' does for 'Hugo': create sites from the most popular themes ('al-folio', 'Chirpy', 'Minimal Mistakes', 'minima'), write posts in R Markdown or 'Quarto' that are knitted to Markdown consumed natively by 'Jekyll', customize theme colors, fonts and elements declaratively from R, migrate 'blogdown'/'Hugo' sites, build and serve the site locally with live reload, and diagnose the Ruby/'Jekyll' toolchain. 'Jekyll' is invoked strictly via its command line interface; no R-Ruby language bridge is used.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli, fs, knitr, processx, servr, xfun, yaml
Suggests: archive, quarto, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
SystemRequirements: Ruby (>= 3.0), jekyll, bundler
URL: https://github.com/allanvc/jekylldown
BugReports: https://github.com/allanvc/jekylldown/issues
NeedsCompilation: no
Packaged: 2026-10-02 14:50:07 UTC; allan
Author: Allan Quadros [aut, cre]
Maintainer: Allan Quadros <allanvcq@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-14 11:20:08 UTC

More information about jekylldown at CRAN
Permanent link

New package brochure with initial version 1.0.0
Package: brochure
Title: Multipage 'Shiny' Apps
Version: 1.0.0
Description: Build natively multi-page 'Shiny' applications, serving content on several endpoints instead of a single page. Pages are declared with their own user interface and server function and are dispatched by URL with 'routr', including parameterised routes. Redirections, request and response middleware, and helpers to read and set cookies are also provided.
License: MIT + file LICENSE
URL: https://github.com/colinfay/brochure, https://github.com/ColinFay/brochure
BugReports: https://github.com/ColinFay/brochure/issues
Imports: attempt (>= 0.3.1), htmltools, purrr, rlang (>= 0.4.12), routr (>= 2.0.0), shiny (>= 1.6.0)
Suggests: golem (>= 0.3.0), knitr, rmarkdown, testthat (>= 3.0.0), usethis, withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-02 12:53:55 UTC; colinfay
Author: Colin Fay [aut, cre, cph]
Maintainer: Colin Fay <contact@colinfay.me>
Repository: CRAN
Date/Publication: 2026-10-14 11:10:22 UTC

More information about brochure at CRAN
Permanent link

Package WaterBalanceR updated to version 0.1.22 with previous version 0.1.21 dated 2026-03-13

Title: Calculate High Resolution Water Balance of Starch Potatoes
Description: Calculates the water balance of starch potatoes from Normalized Distance Vegetation Index (NDVI) images, German Weather Service (DWD) reference evapotranspiration, German Weather Service RADOLAN precipitation data and irrigation information. For more details see Piernicke et al. (2025) <doi:10.3390/rs17183227>.
Author: Thomas Piernicke [aut, cre]
Maintainer: Thomas Piernicke <thomasp@gfz.de>

Diff between WaterBalanceR versions 0.1.21 dated 2026-03-13 and 0.1.22 dated 2026-10-14

 DESCRIPTION                             |   12 
 MD5                                     |   18 
 NEWS.md                                 |   13 
 R/DownloadET0fromDWD.R                  |   33 
 R/DownloadSentinel2.R                   |  251 +++---
 R/calcWB.R                              |   31 
 R/calcWBplots.R                         | 1338 +++++++++++++++++++++++---------
 inst/doc/WaterBalanceR_DataSources.html |   10 
 inst/doc/WaterBalanceR_Workflow.html    |   16 
 man/DownloadSentinel2.Rd                |    5 
 10 files changed, 1243 insertions(+), 484 deletions(-)

More information about WaterBalanceR at CRAN
Permanent link

Package MultiscaleSCP updated to version 0.2.0 with previous version 0.1.1 dated 2026-03-30

Title: Multiscale Systematic Conservation Planning Across Nested H3 Grids
Description: Provides tools for multiscale systematic conservation planning using the H3 hierarchical hexagonal grid system (Uber Technologies (2024) <https://h3geo.org>) and the 'prioritizr' package (Hanson et al. (2025) <doi:10.1111/cobi.14376>). Supports the definition and solution of conservation problems across nested H3 resolutions with resolution-specific features, costs, and management attributes, including cross-scale connectivity penalties derived from parent-child relationships. Includes a multiscale minimum-set objective that allows planning units at different resolutions to contribute toward feature representation targets while accounting for overlapping costs and feature amounts across nested planning units. Also includes utilities to evaluate solutions using multiscale-aware diagnostics and to post-process optimization outputs into alternative area-targeted conservation scenarios.
Author: Pablo Merlo [aut, cre] , Oisin Callery [aut] , Carlos Tighe [ctb], Anthony Grehan [ctb]
Maintainer: Pablo Merlo <pablo.merlo@universityofgalway.ie>

Diff between MultiscaleSCP versions 0.1.1 dated 2026-03-30 and 0.2.0 dated 2026-10-14

 DESCRIPTION                                   |   30 
 MD5                                           |   78 -
 NAMESPACE                                     |   11 
 NEWS.md                                       |   20 
 R/RcppExports.R                               |only
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 R/evaluation.R                                | 1524 +++++++++++------------
 R/globals.R                                   |   10 
 R/h3_hierarchy.R                              |  421 +++---
 R/load-multiscale-feature.R                   |only
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 R/multiscale_connectivity.R                   |  490 +++----
 R/scoring.R                                   |  920 ++++++-------
 R/selection_stratified.R                      | 1129 ++++++++---------
 R/utils.R                                     |   58 
 build/vignette.rds                            |binary
 inst/doc/MultiscaleSCP_workflow_vignette.R    |  388 +++--
 inst/doc/MultiscaleSCP_workflow_vignette.Rmd  |  713 ++++++----
 inst/doc/MultiscaleSCP_workflow_vignette.html | 1714 ++++++++++++++------------
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 man/deduplicate_h3_selections.Rd              |    2 
 man/eval_exact_raster_coverage.Rd             |    9 
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 man/load_multiscale_feature.Rd                |only
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 src                                           |only
 tests                                         |only
 vignettes/MultiscaleSCP_workflow_vignette.Rmd |  713 ++++++----
 46 files changed, 4696 insertions(+), 4084 deletions(-)

More information about MultiscaleSCP at CRAN
Permanent link

Package misty updated to version 0.8.4 with previous version 0.8.3 dated 2026-08-02

Title: Miscellaneous Functions 'T. Yanagida'
Description: Miscellaneous functions for (1) data handling (e.g., grand-mean and group-mean centering, coding variables and reverse coding items, scale and cluster scores, reading and writing Excel and SPSS files), (2) descriptive statistics (e.g., frequency table, cross tabulation, effect size measures), (3) missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), (4) multilevel data (e.g., multilevel descriptive statistics, within-group and between-group correlation matrix, multilevel confirmatory factor analysis, level-specific fit indices, cross-level measurement equivalence evaluation, multilevel composite reliability, and multilevel R-squared measures), (5) item analysis (e.g., confirmatory factor analysis, coefficient alpha and omega, between-group and longitudinal measurement equivalence evaluation), (6) statistical analysis (e.g., bootstrap confidence intervals, collinearity and resid [...truncated...]
Author: Takuya Yanagida [aut, cre]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>

Diff between misty versions 0.8.3 dated 2026-08-02 and 0.8.4 dated 2026-10-14

 DESCRIPTION                 |    8 
 MD5                         |  494 +++----
 NAMESPACE                   |   20 
 NEWS.md                     |  301 ++--
 R/aov.b.R                   |  160 +-
 R/aov.w.R                   |  288 ++--
 R/blimp.R                   |   18 
 R/blimp.bayes.R             |   16 
 R/blimp.plot.R              |   24 
 R/blimp.print.R             |   28 
 R/blimp.run.R               |    6 
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 R/boot.bs.R                 |   16 
 R/center.R                  |  129 -
 R/check.collin.R            |   26 
 R/check.outlier.R           |  306 +++-
 R/check.resid.R             |  676 ++-------
 R/chr.color.R               |   10 
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 R/ci.prop.R                 |  442 +++---
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 R/ci.var.R                  |  575 ++++----
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 R/coding.R                  |   51 
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 R/cor.matrix.R              |  153 +-
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 R/descript.R                |   95 -
 R/df.check.R                |   21 
 R/df.duplicated.R           |   25 
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 R/df.sort.R                 |   10 
 R/df.subset.R               |    8 
 R/difftest.chibarsq.R       |   17 
 R/dominance.R               |   22 
 R/dominance.manual.R        |   21 
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 R/freq.R                    |   37 
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 R/plot.misty.object.R       | 3048 ++++++++++++++++++++++++++++++--------------
 R/print.misty.object.R      | 1977 ++++++++++++++++++++--------
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 252 files changed, 12664 insertions(+), 9479 deletions(-)

More information about misty at CRAN
Permanent link

Package gert updated to version 2.5.0 with previous version 2.4.1 dated 2026-08-19

Title: Simple Git Client for R
Description: Simple git client for R based on 'libgit2' <https://libgit2.org> with support for SSH and HTTPS remotes. All functions in 'gert' use basic R data types (such as vectors and data-frames) for their arguments and return values. User credentials are shared with command line 'git' through the git-credential store and ssh keys stored on disk or ssh-agent.
Author: Jeroen Ooms [aut, cre] , Maelle Salmon [aut] , Jennifer Bryan [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between gert versions 2.4.1 dated 2026-08-19 and 2.5.0 dated 2026-10-14

 DESCRIPTION         |    6 +++---
 MD5                 |   18 +++++++++---------
 NEWS.md             |    5 +++++
 configure           |   10 ++++++++--
 inst/doc/gert.html  |   29 +++++++++++++++--------------
 man/gert-package.Rd |    1 +
 src/clone.c         |   16 ++++++++++------
 src/utils.c         |   22 ++++++++++++++++++++++
 src/utils.h         |    1 +
 src/version.c       |   12 ++++++++++--
 10 files changed, 84 insertions(+), 36 deletions(-)

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New package frostlake with initial version 0.1.0
Package: frostlake
Title: 'DBI' Backend for the 'Frostlake' Database Engine
Version: 0.1.0
Description: A 'DBI'-compliant driver for 'Frostlake', a SQL engine emulating core 'Snowflake' features. Speaks the engine's HTTP protocol against a running 'DatabaseHttpServer': one POST per statement with a session id the server issues on first contact, so session state (current database/schema, transactions) persists across statements. Query results arrive as data frames with Snowflake types mapped to R types.
License: Apache License (== 2.0)
URL: https://github.com/Frostlake-DB/frostlake-r
BugReports: https://github.com/Frostlake-DB/frostlake-r/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: DBI (>= 1.1.0), curl, jsonlite, methods
Suggests: testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-10-01 20:14:35 UTC; nous
Author: MLorek [aut, cre, cph]
Maintainer: MLorek <michal.lorek@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-14 10:50:02 UTC

More information about frostlake at CRAN
Permanent link

Package SIMPLE.REGRESSION updated to version 0.3.4 with previous version 0.3.1 dated 2026-01-21

Title: OLS, Moderated, Logistic, and Count Regressions Made Simple
Description: Provides SPSS- and SAS-like output for least squares multiple regression, logistic regression, and count variable regressions. Detailed output is also provided for OLS moderated regression, interaction plots, and Johnson-Neyman regions of significance. The output includes standardized coefficients, partial and semi-partial correlations, collinearity diagnostics, plots of residuals, and detailed information about simple slopes for interactions. The output for some functions includes Bayes Factors and, if requested, regression coefficients from Bayesian Markov Chain Monte Carlo analyses. There are numerous options for model plots. The REGIONS_OF_SIGNIFICANCE function also provides Johnson-Neyman regions of significance and plots of interactions for both lm and lme models. There is also a function for partial and semipartial correlations and a function for conducting Cohen's set correlation analyses.
Author: Brian P. O'Connor [aut, cre]
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>

Diff between SIMPLE.REGRESSION versions 0.3.1 dated 2026-01-21 and 0.3.4 dated 2026-10-14

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Package melodi updated to version 1.2.0 with previous version 1.1.2 dated 2026-08-28

Title: Download Insee French Institute of Statistics Open Data
Description: A wrapper for the French Institute of Statistics (Insee) API Melodi <https://catalogue-donnees.insee.fr>. Download, search, filter data and metadata from open data statistical public datasets, in french or in english.
Author: Cedric Bobinec [aut, cre], Christophe Goudeau [aut], Institut national de la statistique et des etudes economiques [cph]
Maintainer: Cedric Bobinec <cedric.bobinec@insee.fr>

Diff between melodi versions 1.1.2 dated 2026-08-28 and 1.2.0 dated 2026-10-14

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More information about melodi at CRAN
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Package focus updated to version 0.1.11 with previous version 0.1.10 dated 2026-09-16

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], Idris A. Eckley [aut], Paul Fearnhead [aut], C. B. Barber [ctb, cph] , The Geometry Center [cph]
Maintainer: Gaetano Romano <g.romano@lancaster.ac.uk>

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More information about focus at CRAN
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Package tidyllm updated to version 0.7.1 with previous version 0.7.0 dated 2026-10-05

Title: Tidy Integration of Large Language Models
Description: A tidy interface for integrating large language model (LLM) APIs such as 'Claude', 'OpenAI', 'Gemini', 'Mistral', and local models via 'Ollama' into R workflows. The package supports text, image, audio, video, and document interactions; a unified media interface for attaching inline files or uploading to provider file stores; batch request APIs for cost-efficient large-scale processing; and a pipeline-oriented interface for seamless integration into data workflows. Web services are available at <https://www.anthropic.com>, <https://openai.com>, <https://aistudio.google.com/>, <https://mistral.ai/> and <https://ollama.com>.
Author: Eduard Bruell [aut, cre], Jia Zhang [ctb]
Maintainer: Eduard Bruell <eduard.bruell@zew.de>

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Package pharmaverseadam updated to version 1.4.0 with previous version 1.3.0 dated 2026-02-20

Title: ADaM Test Data for the 'Pharmaverse' Family of Packages
Description: A set of Analysis Data Model (ADaM) datasets constructed using the Study Data Tabulation Model (SDTM) datasets contained in the 'pharmaversesdtm' package and the template scripts from the 'admiral' family of packages. ADaM dataset specifications are described in the CDISC ADaM implementation guide, accessible by creating a free account on <https://www.cdisc.org/>.
Author: Fanny Gautier [aut, cre] , Stefan Bundfuss [aut] , Edoardo Mancini [aut] , Lina Patil [aut], Gerardo Jose Rodriguez [aut] , Vladyslav Shuliar [aut] , Cytel Inc. [cph, fnd], F. Hoffmann-La Roche AG [cph, fnd], GlaxoSmithKline LLC [cph, fnd]
Maintainer: Fanny Gautier <fanny.gautier@cytel.com>

Diff between pharmaverseadam versions 1.3.0 dated 2026-02-20 and 1.4.0 dated 2026-10-14

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Package nonmem2rx updated to version 0.1.12 with previous version 0.1.11 dated 2026-09-22

Title: Converts 'NONMEM' Models to 'rxode2'
Description: 'NONMEM' has been a tool for running nonlinear mixed effects models since the 80s and is still used today (Bauer 2019 <doi:10.1002/psp4.12404>). This tool allows you to convert 'NONMEM' models to 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) and with simple models 'nlmixr2' syntax (Fidler et al (2019) <doi:10.1002/psp4.12445>). The 'nlmixr2' syntax requires the residual specification to be included and it is not always translated. If available, the 'rxode2' model will read in the 'NONMEM' data and compare the simulation for the population model ('PRED') individual model ('IPRED') and residual model ('IWRES') to immediately show how well the translation is performing. This saves the model development time for people who are creating an 'rxode2' model manually. Additionally, this package reads in all the information to allow simulation with uncertainty (that is the number of observations, the number of subjects, and the covariance matrix) with a 'rx [...truncated...]
Author: Matthew Fidler [aut, cre] , Philip Delff [ctb], Gabriel Staples [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between nonmem2rx versions 0.1.11 dated 2026-09-22 and 0.1.12 dated 2026-10-14

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Package manynet updated to version 2.4.0 with previous version 2.3.4 dated 2026-09-10

Title: Many Ways to Make, Manipulate, and Modify Myriad Networks
Description: Many tools for making, manipulating, and modifying many different types of networks. All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, on directed, multiplex, multimodal, signed, and other networks. The package includes functions for importing and exporting, creating and generating networks, modifying networks and node and tie attributes, and describing networks with sensible defaults.
Author: James Hollway [cre, aut, ctb] , Tomas Diviak [ctb], Henrique Sposito [ctb] , Christian Steglich [ctb], Alvaro Uzaheta [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between manynet versions 2.3.4 dated 2026-09-10 and 2.4.0 dated 2026-10-14

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Package FactoMineR updated to version 2.18 with previous version 2.17 dated 2026-09-08

Title: Multivariate Exploratory Data Analysis and Data Mining
Description: Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis. F. Husson, S. Le and J. Pages (2017).
Author: Francois Husson [aut, cre] , Julie Josse [aut], Sebastien Le [aut], Jeremy Mazet [aut]
Maintainer: Francois Husson <francois.husson@institut-agro.fr>

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Package rerddap updated to version 1.3.1 with previous version 1.3.0 dated 2026-07-02

Title: General Purpose Client for 'ERDDAPâ„¢' Servers
Description: General purpose R client for 'ERDDAPâ„¢' servers. Includes functions to search for 'datasets', get summary information on 'datasets', and fetch 'datasets', in either 'csv' or 'netCDF' format. 'ERDDAPâ„¢' information: <https://upwell.pfeg.noaa.gov/erddap/information.html>.
Author: Scott Chamberlain [aut], Ben Tupper [ctb], Salvador Jesus Fernandez Bejarano [ctb], Roy Mendelssohn [cre, ctb]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package pwrss updated to version 1.3.3 with previous version 1.3.1 dated 2026-09-29

Title: Statistical Power, Sample Size, and Detectable Effect Calculations
Description: Flexible and comprehensive functions for statistical power, minimum required sample size, and minimum detectable effect calculations across a wide range of commonly used hypothesis tests in psychological, biomedical, and social sciences.
Author: Metin Bulus [aut, cre, cph] , Sebastian Jentschke [aut, cph]
Maintainer: Metin Bulus <bulusmetin@gmail.com>

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Package openalexR updated to version 3.1.2 with previous version 3.1.1 dated 2026-10-09

Title: Getting Bibliographic Records from 'OpenAlex' Database Using 'DSL' API
Description: A set of tools to extract bibliographic content from 'OpenAlex' database using API <https://help.openalex.org/>.
Author: Massimo Aria [aut, cre, cph] , Corrado Cuccurullo [ctb] , Trang Le [aut] , June Choe [aut]
Maintainer: Massimo Aria <aria@unina.it>

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Package nparLD updated to version 2.3.3 with previous version 2.3.1 dated 2026-08-28

Title: Nonparametric Analysis of Longitudinal Data in Factorial Experiments
Description: Provides nonparametric procedures for the analysis of longitudinal data in factorial experiments. The package implements hypothesis tests on marginal distribution functions and unweighted relative marginal effects. It supports arbitrary crossed factorial designs with longitudinal or repeated-measures factors, missing observations, dependent replicates, rank- and pseudo-rank-based inference, Wald-type and ANOVA-type statistics, multiple contrast tests, and simultaneous confidence intervals.
Author: Frank Konietschke [aut, cre], Kimihiro Noguchi [ctb] , Mahbub Latif [ctb] , Karthinathan Thangavelu [ctb] , Yulia R. Gel [ctb] , Marek Sztuka [ctb] , Edgar Brunner [ctb]
Maintainer: Frank Konietschke <frank.konietschke@charite.de>

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Package ngme2 readmission to version 1.0.1 with previous version 1.0.0 dated 2026-09-27

Title: Linear Latent Non-Gaussian Models with Flexible Distributions
Description: Fits and analyzes linear latent non-Gaussian models for temporal, spatial, and space-time data. The package provides model components for autoregressive and Ornstein-Uhlenbeck processes, random walks, Matern fields based on stochastic partial differential equations, separable and non-separable space-time models, graph-based Matern models, bivariate type-G fields, and user-defined sparse operators. Latent fields and observation models can use Gaussian and non-Gaussian noise distributions, including normal inverse Gaussian, generalized asymmetric Laplace, and skew-t distributions. Functions are included for simulation, likelihood-based estimation, prediction, cross-validation, convergence diagnostics, stochastic gradient optimization, batch-means confidence intervals, and posterior-like sampling. The modeling framework is described in Bolin, Jin, Simas and Wallin (2026) "A Unified and Computationally Efficient Non-Gaussian Statistical Modeling Framework" <doi:10.48550/arXiv.2602.23987 [...truncated...]
Author: David Bolin [aut, cph], Xiaotian Jin [aut, cre], Alexandre Simas [aut], Jonas Wallin [aut], Andrea V. Rocha [ctb] , Timothy A. Davis [ctb, cph] , Patrick R. Amestoy [ctb, cph] , Iain S. Duff [ctb, cph] , John K. Reid [ctb, cph] , Yanqing Chen [ctb, c [...truncated...]
Maintainer: Xiaotian Jin <xiaotian.jin@kaust.edu.sa>

This is a re-admission after prior archival of version 1.0.0 dated 2026-09-27

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Package impectR updated to version 2.6.0 with previous version 2.5.6 dated 2026-06-25

Title: Access Data from the 'Impect' API
Description: Pull data from the 'Impect' Customer API <https://glossary.impect.com/api-design>. The package can retrieve data such as events or match sums.
Author: Catapult Sports [cph], Florian Schmitt [aut, cre], Thomas Walentin [ctb]
Maintainer: Florian Schmitt <florian.schmitt@catapultsports.com>

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Package AIscreenR updated to version 0.5.0 with previous version 0.4.0 dated 2026-07-01

Title: AI Screening Tools in R for Systematic Reviewing
Description: Provides functions to conduct title and abstract screening in systematic reviews using large language models, such as the Generative Pre-trained Transformer (GPT) models from 'OpenAI' <https://developers.openai.com/>. These functions can enhance the quality of title and abstract screenings while reducing the total screening time significantly. In addition, the package includes tools for quality assessment of title and abstract screenings, as described in Vembye, Christensen, Mølgaard, and Schytt (2025) <DOI:10.1037/met0000769>.
Author: Mikkel H. Vembye [aut, cre] , Thomas Olsen [aut]
Maintainer: Mikkel H. Vembye <mikkel.vembye@gmail.com>

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Package matrixprofiler updated to version 0.1.12 with previous version 0.1.10 dated 2025-12-01

Title: Matrix Profile for R
Description: This is the core functions needed by the 'tsmp' package. The low level and carefully checked mathematical functions are here. These are implementations of the Matrix Profile concept that was created by CS-UCR <http://www.cs.ucr.edu/~eamonn/MatrixProfile.html>.
Author: Francisco Bischoff [aut, cre] , Michael Yeh [res, ccp, ctb] , Diego Silva [res, ccp, ctb] , Yan Zhu [res, ccp, ctb] , Hoang Dau [res, ccp, ctb] , Michele Linardi [res, ccp, ctb]
Maintainer: Francisco Bischoff <fbischoff@med.up.pt>

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More information about matrixprofiler at CRAN
Permanent link

Tue, 13 Oct 2026

Package paramDemo updated to version 1.0.3 with previous version 1.0.2 dated 2025-01-16

Title: Parametric and Non-Parametric Demographic Functions and Applications
Description: Calculate parametric mortality and Fertility models, following packages 'BaSTA' in Colchero, Jones and Rebke (2012) <doi:10.1111/j.2041-210X.2012.00186.x> and 'BaFTA' <https://github.com/fercol/BaFTA>, summary statistics (e.g. ageing rates, life expectancy, lifespan equality, etc.), life table and product limit estimators from census data.
Author: Fernando Colchero [aut, cre]
Maintainer: Fernando Colchero <fernando_colchero@eva.mpg.de>

Diff between paramDemo versions 1.0.2 dated 2025-01-16 and 1.0.3 dated 2026-10-13

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More information about paramDemo at CRAN
Permanent link

Package checktor updated to version 0.2.0 with previous version 0.1.0 dated 2026-07-02

Title: Extra CRAN Submission Checks
Description: Provides automated checks for common Comprehensive R Archive Network (CRAN) submission issues that are not caught by standard 'R CMD check'. Consolidates ad-hoc requirements that CRAN reviewers enforce but standard checks do not surface, helping R package maintainers identify and fix issues before submission to reduce rejection rates. Covers code-pattern issues, DESCRIPTION-field formatting, documentation problems, and general package structure concerns.
Author: James Joseph Balamuta [aut, cre, cph]
Maintainer: James Joseph Balamuta <james.balamuta@gmail.com>

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Package CoRpower updated to version 1.0.5 with previous version 1.0.4 dated 2020-11-17

Title: Power Calculations for Assessing Correlates of Risk in Clinical Efficacy Trials
Description: Calculates power for assessment of intermediate biomarker responses as correlates of risk in the active treatment group in clinical efficacy trials, as described in Gilbert, Janes, and Huang, Power/Sample Size Calculations for Assessing Correlates of Risk in Clinical Efficacy Trials (2016, Statistics in Medicine). The methods differ from past approaches by accounting for the level of clinical treatment efficacy overall and in biomarker response subgroups, which enables the correlates of risk results to be interpreted in terms of potential correlates of efficacy/protection. The methods also account for inter-individual variability of the observed biomarker response that is not biologically relevant (e.g., due to technical measurement error of the laboratory assay used to measure the biomarker response), which is important because power to detect a specified correlate of risk effect size is heavily affected by the biomarker's measurement error. The methods can be used for a general binar [...truncated...]
Author: Stephanie Wu [aut], Michal Juraska [aut, cre], Peter Gilbert [aut], Yunda Huang [aut], Sebastien Haneuse [ctb, cph] code from the osDesign package), Takumi Saegusa [ctb, cph] code from the osDesign package), Nilanjan Chatterjee [ctb, cph] code fro [...truncated...]
Maintainer: Michal Juraska <mjuraska@fredhutch.org>

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Package seminr updated to version 2.6.0 with previous version 2.5.0 dated 2026-05-25

Title: Building and Estimating Structural Equation Models
Description: A powerful, easy to use syntax for specifying and estimating complex Structural Equation Models. Models can be estimated using Partial Least Squares Path Modeling or Covariance-Based Structural Equation Modeling or covariance based Confirmatory Factor Analysis (Ray, Danks, and Valdez 2021 <doi:10.2139/ssrn.3900621>).
Author: Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre], Andre Calero Valdez [aut], Juan Manuel Velasquez Estrada [ctb], James Uanhoro [ctb], Johannes Nakayama [ctb], Lilian Koyan [ctb], Laura Burbach [ctb], Arturo Heynar Cano Bejar [ctb], Susanne A [...truncated...]
Maintainer: Nicholas Patrick Danks <seminrgroup@gmail.com>

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Package pssmooth updated to version 1.0.4 with previous version 1.0.3 dated 2020-11-18

Title: Flexible and Efficient Evaluation of Principal Surrogates/Treatment Effect Modifiers
Description: Implements estimation and testing procedures for evaluating an intermediate biomarker response as a principal surrogate of a clinical response to treatment (i.e., principal stratification effect modification analysis), as described in Juraska M, Huang Y, and Gilbert PB (2020), Inference on treatment effect modification by biomarker response in a three-phase sampling design, Biostatistics, 21(3): 545-560 <doi:10.1093/biostatistics/kxy074>. The methods avoid the restrictive 'placebo structural risk' modeling assumption common to past methods and further improve robustness by the use of nonparametric kernel smoothing for biomarker density estimation. A randomized controlled two-group clinical efficacy trial is assumed with an ordered categorical or continuous univariate biomarker response measured at a fixed timepoint post-randomization and with a univariate baseline surrogate measure allowed to be observed in only a subset of trial participants with an observed biomarker response ( [...truncated...]
Author: Michal Juraska [aut, cre], Sebastien Haneuse [ctb, cph] code from the osDesign package), Takumi Saegusa [ctb, cph] code from the osDesign package), Nilanjan Chatterjee [ctb, cph] code from the osDesign package), Norman Breslow [ctb, cph] code fro [...truncated...]
Maintainer: Michal Juraska <mjuraska@fredhutch.org>

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Package torchvision updated to version 0.10.0 with previous version 0.9.0 dated 2026-04-22

Title: Models, Datasets and Transformations for Images
Description: Provides access to datasets, models and preprocessing facilities for deep learning with images. Integrates seamlessly with the 'torch' package and its API borrows heavily from the 'PyTorch' vision package.
Author: Tomasz Kalinowski [ctb, cre], Daniel Falbel [aut, cph], Christophe Regouby [ctb], Akanksha Koshti [ctb], Derrick Richard [ctb], ANAMASGARD [ctb], Chandraveer Singh [ctb], Srishti Dutta [ctb], Sebastian Fischer [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package streamMOA updated to version 1.4.0 with previous version 1.3-1 dated 2024-04-20

Title: Interface for MOA Stream Clustering Algorithms
Description: Interface for data stream clustering algorithms implemented in the MOA (Massive Online Analysis) framework (Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer (2010). MOA: Massive Online Analysis, Journal of Machine Learning Research 11: 1601-1604).
Author: Michael Hahsler [aut, cre, cph] , John Forrest [aut, cph], Matthew Bolanos [ctb], Matthias Carnein [ctb], Dalibor Krleza [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package rEMM updated to version 1.2.3 with previous version 1.2.1 dated 2024-04-21

Title: Extensible Markov Model for Modelling Temporal Relationships Between Clusters
Description: Implements TRACDS (Temporal Relationships between Clusters for Data Streams), a generalization of the Extensible Markov Model (EMM). TRACDS adds a temporal or order model to data stream clustering by superimposing a dynamically adapting Markov Chain. It also provides an implementation of EMM (TRACDS on top of tNN data stream clustering). Development of this package was supported in part by NSF IIS-0948893 and R21HG005912 from the National Human Genome Research Institute. Hahsler and Dunham (2010) <doi:10.18637/jss.v035.i05>.
Author: Michael Hahsler [aut, cre, cph] , Margaret H. Dunham [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between rEMM versions 1.2.1 dated 2024-04-21 and 1.2.3 dated 2026-10-13

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Package qlcal updated to version 0.1.4 with previous version 0.1.3 dated 2026-07-21

Title: R Bindings to the Calendaring Functionality of 'QuantLib'
Description: 'QuantLib' bindings are provided for R using 'Rcpp' via an evolved version of the initial header-only 'Quantuccia' project offering an subset of 'QuantLib' (now maintained separately just for the calendaring subset). See the included file 'AUTHORS' for a full list of contributors to 'QuantLib' (and hence also 'Quantuccia').
Author: Dirk Eddelbuettel [aut, cre] , QuantLib Authors [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between qlcal versions 0.1.3 dated 2026-07-21 and 0.1.4 dated 2026-10-13

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Package margEVT updated to version 0.4.0 with previous version 0.3.0 dated 2026-09-23

Title: Regularized Point Processes and Stochastic Marginalization for Extremes
Description: Implements a non-stationary extreme value analysis framework by coupling a covariate-driven non-homogeneous Poisson process (NHPP) with (adaptive) elastic-net regularization and analytical gradients. Provides methods for estimating conditional return levels and unconditional (marginalized) return levels via parametric stochastic integration over stable vector autoregressive VAR(p) covariate trajectories, or non-parametric annual-block resampling. Supports block-specific penalty controls, BIC selection along a regularization path, Karush-Kuhn-Tucker convergence checks, time-rescaling residual diagnostics, conditional parametric bootstrap inference, and walk-forward assessment.
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

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Package EZbakR updated to version 0.2.2 with previous version 0.1.0 dated 2025-12-10

Title: Analyze and Integrate Any Type of Nucleotide Recoding RNA-Seq Data
Description: A complete rewrite and reimagining of 'bakR' (see 'Vock et al.' (2025) <doi:10.1371/journal.pcbi.1013179>). Designed to support a wide array of analyses of nucleotide recoding RNA-seq (NR-seq) datasets of any type, including TimeLapse-seq/SLAM-seq/TUC-seq, Start-TimeLapse-seq (STL-seq), TT-TimeLapse-seq (TT-TL-seq), and subcellular NR-seq. 'EZbakR' extends standard NR-seq standard NR-seq mutational modeling to support multi-label analyses (e.g., 4sU and 6sG dual labeling), and implements an improved hierarchical model to better account for transcript-to-transcript variance in metabolic label incorporation. 'EZbakR' also generalized dynamical systems modeling of NR-seq data to support analyses of premature mRNA processing and flow between subcellular compartments. Finally, 'EZbakR' implements flexible and well-powered comparative analyses of all estimated parameters via design matrix-specified generalized linear modeling.
Author: Isaac Vock [aut, cre, cph]
Maintainer: Isaac Vock <isaac.vock@gmail.com>

Diff between EZbakR versions 0.1.0 dated 2025-12-10 and 0.2.2 dated 2026-10-13

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Package BUCSS updated to version 2.0.0 with previous version 1.2.1 dated 2020-08-25

Title: Bias and Uncertainty Corrected Sample Size
Description: Implements sample size planning for a future study from the summary statistics of a prior study, correcting the prior effect for publication bias and uncertainty so the planned study attains its target statistical power more reliably than methods that take a sample effect size at face value. Planners cover the one-sample, paired, independent, and Welch t tests; between-subjects analysis of variance and covariance; within-subjects and split-plot analysis of variance; a regression coefficient, the squared multiple correlation, and a subset of predictors; the Pearson correlation; a two-group multivariate comparison; and the chi square difference between nested models. The regression planners can treat the predictors as fixed or as sampled, the within-subjects and split-plot planners accept a sphericity correction, and each plan reports the effect size it is built on. A simulation function audits how often a plan attains its target power. The method is described in Anderson, Kelley, and Ma [...truncated...]
Author: Ken Kelley [aut, cre] , Samantha F. Anderson [aut] , Scott E. Maxwell [aut]
Maintainer: Ken Kelley <kkelley@nd.edu>

Diff between BUCSS versions 1.2.1 dated 2020-08-25 and 2.0.0 dated 2026-10-13

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Package rsynthbio updated to version 4.2.1 with previous version 4.2.0 dated 2026-06-12

Title: Synthesize Bio API Wrapper
Description: Access Synthesize Bio models from their API <https://app.synthesize.bio/> using this wrapper that provides a convenient interface to the Synthesize Bio API, allowing users to generate realistic gene expression data based on specified biological conditions. This package enables researchers to easily access AI-generated transcriptomic data for various modalities including bulk RNA-seq, single-cell RNA-seq, microarray data, and more.
Author: Synthesize Bio [aut, cre]
Maintainer: Synthesize Bio <candace@synthesize.bio>

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Package rjdmarkdown updated to version 0.2.3 with previous version 0.2.2 dated 2023-10-04

Title: 'rmarkdown' Extension for Formatted 'RJDemetra' Outputs
Description: Functions to have nice 'rmarkdown' outputs of the seasonal and trading day adjustment models made with 'RJDemetra'.
Author: Alain Quartier-la-Tente [aut, cre, cph]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>

Diff between rjdmarkdown versions 0.2.2 dated 2023-10-04 and 0.2.3 dated 2026-10-13

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Package webchem updated to version 2.0.0 with previous version 1.3.1 dated 2025-07-16

Title: Chemical Information from the Web
Description: Chemical information from around the web. This package interacts with a suite of web services for chemical information. Sources include: Alan Wood's Compendium of Pesticide Common Names, Chemical Identifier Resolver, ChEBI, Chemical Translation Service, ChemSpider, ETOX, Flavornet, NIST Chemistry WebBook, OPSIN, PubChem, SRS, Wikidata.
Author: Eduard Szoecs [aut], Robert Allaway [ctb], Daniel Muench [ctb], Johannes Ranke [ctb], Andreas Scharmueller [ctb], Eric R Scott [ctb], Jan Stanstrup [ctb], Joao Vitor F Cavalcante [ctb], Gordon Getzinger [ctb], Ethan Bass [ctb], Tamas Stirling [ctb, cre [...truncated...]
Maintainer: Tamas Stirling <stirling.tamas@gmail.com>

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Package tram updated to version 1.4-7 with previous version 1.4-6 dated 2026-10-01

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt' (<DOI:10.32614/CRAN.package.mlt>, <DOI:10.32614/CRAN.package.mlt.docreg>). Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, <DOI:10.1093/biostatistics/kxac048>) and a tutorial explains applications in survival analysis (Siegfried et al., 2025, <DOI:10.48550/arXiv.2402.06428>). Multivariate conditional transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) and shift-scale transformation models (Siegfried et al, 2023, <DOI:10.108 [...truncated...]
Author: Torsten Hothorn [aut, cre] , Luisa Barbanti [ctb] , Sandra Siegfried [aut] , Lucas Kook [aut] , Susanne Dandl [ctb] , Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package lambda.r updated to version 1.2.6 with previous version 1.2.4 dated 2019-09-18

Title: Modeling Data with Functional Programming
Description: A language extension to efficiently write functional programs in R. Syntax extensions include multi-part function definitions, pattern matching, guard statements, built-in (optional) type safety.
Author: Brian Lee Yung Rowe [aut, cre]
Maintainer: Brian Lee Yung Rowe <r@zatonovo.com>

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Package flowcluster updated to version 0.2.2 with previous version 0.2.1 dated 2025-08-21

Title: Cluster Origin-Destination Flow Data
Description: Provides functionality for clustering origin-destination (OD) pairs, representing desire lines (or flows). This includes creating distance matrices between OD pairs and passing distance matrices to a clustering algorithm. See the academic paper Tao and Thill (2016) <doi:10.1111/gean.12100> for more details on spatial clustering of flows. See the paper on delineating demand-responsive operating areas by Mahfouz et al. (2025) <doi:10.1016/j.urbmob.2025.100135> for an example of how this package can be used to cluster flows for applied transportation research.
Author: Hussein Mahfouz [aut, cre] , Robin Lovelace [aut]
Maintainer: Hussein Mahfouz <husseinmahfouz93@gmail.com>

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Package fields updated to version 18.0 with previous version 17.3 dated 2026-05-05

Title: Tools for Spatial Data
Description: For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get star [...truncated...]
Author: Douglas Nychka [aut, cre], Reinhard Furrer [aut], John Paige [aut], Stephan Sain [aut], Florian Gerber [aut], Matthew Iverson [aut], Rider Johnson [aut]
Maintainer: Douglas Nychka <douglasnychka@gmail.com>

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 fields-18.0/fields/R/smooth.2d.R                          |    2 
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 fields-18.0/fields/R/spam_2lz.R                           |    4 
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 369 files changed, 4842 insertions(+), 4168 deletions(-)

More information about fields at CRAN
Permanent link

Package tidyrates updated to version 0.0.2 with previous version 0.0.1 dated 2024-03-19

Title: Tidy Epidemiological Rates
Description: Compute age-adjusted rates by direct and indirect methods and other epidemiological indicators in a tidy way, using internal statistical calculations.
Author: Raphael Saldanha [aut, cre]
Maintainer: Raphael Saldanha <raphael.de-freitas-saldanha@inria.fr>

Diff between tidyrates versions 0.0.1 dated 2024-03-19 and 0.0.2 dated 2026-10-13

 DESCRIPTION                             |   16 ++++++++-------
 MD5                                     |   29 +++++++++++++++-------------
 NEWS.md                                 |   33 ++++++++++++++++++++++++++++++++
 R/adjustment.R                          |only
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 README.md                               |   17 ++++++++++------
 build/vignette.rds                      |binary
 inst/doc/quickstart.R                   |    2 -
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 tests/testthat/test-rate_adj_indirect.R |   12 +++++++++++
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 17 files changed, 113 insertions(+), 55 deletions(-)

More information about tidyrates at CRAN
Permanent link

Package RColetum updated to version 1.2.0 with previous version 1.1.0 dated 2026-08-21

Title: Access your Coletum's Data from API
Description: Get your data (forms, structures, answers) from Coletum <https://coletum.com> to handle and analyse.
Author: Andre Smaniotto [aut, cre], Marcelo Magnani [aut], Rodrigo Sant'Ana [aut], GeoSapiens [cph, fnd]
Maintainer: Andre Smaniotto <smaniotto@geosapiens.com.br>

Diff between RColetum versions 1.1.0 dated 2026-08-21 and 1.2.0 dated 2026-10-13

 DESCRIPTION                               |    8 ++++----
 MD5                                       |   12 +++++++-----
 NEWS.md                                   |   11 +++++++++++
 R/GetForm.R                               |    5 ++++-
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 tests/testthat/test-UserAgent.R           |only
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More information about RColetum at CRAN
Permanent link

Package nlmixr2est updated to version 7.2.0 with previous version 7.1.0 dated 2026-09-20

Title: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Wenping Wang [aut], Audrey Lavenu [ctb], Ben Goodrich [ctb], David Ardia [cph], Dirk Eddelbuettel [cph], Elizabeth Eskow [ctb], Emmanuelle Comets [ctb], Hadley Wickham [ctb], Hajar Besbassi [ctb], Hidde van de Beek [ctb], [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between nlmixr2est versions 7.1.0 dated 2026-09-20 and 7.2.0 dated 2026-10-13

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 nlmixr2est-7.2.0/nlmixr2est/DESCRIPTION                                                    |   20 
 nlmixr2est-7.2.0/nlmixr2est/MD5                                                            |  499 
 nlmixr2est-7.2.0/nlmixr2est/NAMESPACE                                                      |   21 
 nlmixr2est-7.2.0/nlmixr2est/NEWS.md                                                        | 1406 ++
 nlmixr2est-7.2.0/nlmixr2est/R/RcppExports.R                                                |  202 
 nlmixr2est-7.2.0/nlmixr2est/R/addCwres.R                                                   |   12 
 nlmixr2est-7.2.0/nlmixr2est/R/agq.R                                                        |   76 
 nlmixr2est-7.2.0/nlmixr2est/R/augPred.R                                                    |   67 
 nlmixr2est-7.2.0/nlmixr2est/R/bobyqa.R                                                     |  113 
 nlmixr2est-7.2.0/nlmixr2est/R/broom.R                                                      |    2 
 nlmixr2est-7.2.0/nlmixr2est/R/complete.R                                                   |    1 
 nlmixr2est-7.2.0/nlmixr2est/R/cov.R                                                        |  721 -
 nlmixr2est-7.2.0/nlmixr2est/R/covControl.R                                                 |  138 
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 nlmixr2est-7.2.0/nlmixr2est/R/covRecompute.R                                               |  194 
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 nlmixr2est-7.2.0/nlmixr2est/R/covStore.R                                                   |only
 nlmixr2est-7.2.0/nlmixr2est/R/deparse.R                                                    |  181 
 nlmixr2est-7.2.0/nlmixr2est/R/emviControl.R                                                |   50 
 nlmixr2est-7.2.0/nlmixr2est/R/fo.R                                                         |   76 
 nlmixr2est-7.2.0/nlmixr2est/R/foce.R                                                       |   74 
 nlmixr2est-7.2.0/nlmixr2est/R/focei.R                                                      |  836 +
 nlmixr2est-7.2.0/nlmixr2est/R/foceiControl.R                                               |  505 
 nlmixr2est-7.2.0/nlmixr2est/R/foceiCov.R                                                   |   28 
 nlmixr2est-7.2.0/nlmixr2est/R/foceiCovAnalytic.R                                           |  956 -
 nlmixr2est-7.2.0/nlmixr2est/R/foceiCovFdFull.R                                             |  161 
 nlmixr2est-7.2.0/nlmixr2est/R/foceiGradAnalytic.R                                          | 1171 --
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Package Rtinycc updated to version 0.1.16 with previous version 0.1.15 dated 2026-07-25

Title: Builds the 'TinyCC' Command-Line Interface and Library for 'C' Scripting in 'R'
Description: Builds the 'TinyCC' (Tiny 'C' Compiler) command-line interface and library for package use in 'R'. The package compiles 'TinyCC' from source and provides R functions to interact with the compiler. 'TinyCC' can be used for header preprocessing, just-in-time compilation of 'C' code in 'R', and lightweight 'C' scripting workflows.
Author: Sounkou Mahamane Toure [aut, cre], Mike Cheng [cph] , Adam Dunkels [ctb] , Swedish Institute of Computer Science [cph] , Fabrice Bellard and TinyCC authors [cph] , Brian Lee Yung Rowe [ctb, cph]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>

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Package RQuantLib updated to version 0.4.29 with previous version 0.4.28 dated 2026-07-10

Title: R Interface to the 'QuantLib' Library
Description: The 'RQuantLib' package makes parts of 'QuantLib' accessible from R The 'QuantLib' project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.
Author: Dirk Eddelbuettel [aut, cre] , Khanh Nguyen [aut] , Terry Leitch [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RQuantLib versions 0.4.28 dated 2026-07-10 and 0.4.29 dated 2026-10-13

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More information about RQuantLib at CRAN
Permanent link

Package missingHE updated to version 1.6.2 with previous version 1.6.1 dated 2026-06-01

Title: Missing Cost Effectiveness Models
Description: Performs Bayesian cost-effectiveness analysis with missing outcome data. Three classes of models can be fitted under a variety of missing data assumptions: selection models, pattern mixture models and hurdle models. The package allows to assess model convergence and summarise the statistical and economic results using different types of measures and graphs. The methods implemented are described in Mason (2018) <doi:10.1002/hec.3793>, Molenberghs (2000) <doi:10.1007/978-1-4419-0300-6_18> and Gabrio (2019) <doi:10.1002/sim.8045>.
Author: Andrea Gabrio [aut, cre, cph]
Maintainer: Andrea Gabrio <a.gabrio@maastrichtuniversity.nl>

Diff between missingHE versions 1.6.1 dated 2026-06-01 and 1.6.2 dated 2026-10-13

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Package junco updated to version 0.1.7 with previous version 0.1.6 dated 2026-05-10

Title: Create Common Tables and Listings Used in Clinical Trials
Description: Structure and formatting requirements for clinical trial table and listing outputs vary between pharmaceutical companies. 'junco' provides additional tooling for use alongside the 'rtables', 'rlistings' and 'tern' packages when creating table and listing outputs. While motivated by the specifics of Johnson and Johnson Clinical and Statistical Programming's table and listing shells, 'junco' provides functionality that is general and reusable. Major features include a) alternative and extended statistical analyses beyond what 'tern' supports for use in standard safety and efficacy tables, b) a robust production-grade Rich Text Format (RTF) and DOCX exporter for tables, listings and graphs, c) structural support for spanning column headers and risk difference columns in tables, and d) robust font-aware automatic column width algorithms for both listings and tables.
Author: Gabriel Becker [cre, aut] , Ilse Augustyns [aut], Paul Jenkins [aut], Daniel Hofstaedter [aut], Joseph Kovach [aut], David Munoz Tord [aut], Daniel Sabanes Bove [aut], Ezequiel Anokian [ctb], Renfei Mao [ctb], Mrinal Das [ctb], Wojciech Wojciak [ctb] [...truncated...]
Maintainer: Gabriel Becker <gabembecker@gmail.com>

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Package DTEAssurance updated to version 1.3.0 with previous version 1.1.0 dated 2025-12-02

Title: Assurance Methods for Clinical Trials with a Delayed Treatment Effect
Description: Provides functions for planning clinical trials subject to a delayed treatment effect using assurance-based methods. Includes two 'shiny' applications for interactive exploration, simulation, and visualisation of trial designs and outcomes. The methodology is described in: Salsbury JA, Oakley JE, Julious SA, Hampson LV (2024) "Assurance methods for designing a clinical trial with a delayed treatment effect" <doi:10.1002/sim.10136>, Salsbury JA, Oakley JE, Julious SA, Hampson LV (2024) "Adaptive clinical trial design with delayed treatment effects using elicited prior distributions" <doi:10.48550/arXiv.2509.07602>.
Author: James Salsbury [aut, cre]
Maintainer: James Salsbury <jsalsbury1@sheffield.ac.uk>

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Package seminrExtras updated to version 1.0.4 with previous version 1.0.3 dated 2026-08-19

Title: Conduct Additional Modeling and Analysis for 'seminr'
Description: Supplementary tools for evaluating and validating partial least squares structural equation models estimated with 'seminr'. Provides methods for predictive model assessment, importance-performance analysis with necessary condition testing, overfitting diagnostics, measurement model verification, mediator contribution analysis, unobserved heterogeneity detection via latent class and prediction-oriented segmentation, and congruence coefficient testing. All functions accept estimated 'seminr' model objects and return results with print, summary, and plot methods.
Author: Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre]
Maintainer: Nicholas Patrick Danks <seminrgroup@gmail.com>

Diff between seminrExtras versions 1.0.3 dated 2026-08-19 and 1.0.4 dated 2026-10-13

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Package insight updated to version 1.6.0 with previous version 1.5.4 dated 2026-09-05

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Vincent Arel-Bundock [aut, ctb] , Etienne Bacher [aut, ctb] , Ale [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

Diff between insight versions 1.5.4 dated 2026-09-05 and 1.6.0 dated 2026-10-13

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More information about insight at CRAN
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Package contfrac updated to version 1.1-13 with previous version 1.1-12 dated 2018-05-17

Title: Continued Fractions
Description: Various utilities for evaluating continued fractions.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between contfrac versions 1.1-12 dated 2018-05-17 and 1.1-13 dated 2026-10-13

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New package sds with initial version 0.3.0
Package: sds
Title: Spatial Data Sources
Version: 0.3.0
Description: Descriptions of spatial data sources that can be read directly with or without download. Most sources are readable by 'GDAL' software. There are functions for imagery, elevation, and a variety of easily accessible data streams including image tile servers, links to online files, and geographic data services.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/hypertidy/sds
BugReports: https://github.com/hypertidy/sds/issues
Imports: countrycode, dsn (>= 0.1.0), tibble
Suggests: testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-01 09:16:36 UTC; mdsumner
Author: Michael Sumner [aut, cre, cph]
Maintainer: Michael Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-13 14:50:02 UTC

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Package SCAtools updated to version 0.5.1 with previous version 0.4.3 dated 2026-09-18

Title: Direction-Aware Sufficient Condition Analysis
Description: Tests whether a high or low level of a condition is enough to guarantee a high or low level of an outcome. Such a claim predicts that one corner of the condition-outcome scatter plot is empty of observations. The package estimates the boundary of that empty corner, its size as a share of the scope (the effect size), a permutation test against random pairing, and a threshold table giving the condition level that guarantees each outcome level, in actual units, percentages, percentiles or standard deviations. Each of the four directions (high or low condition, high or low outcome) is stated as a claim and mapped to its empty corner. Because a condition can rule out low outcomes while barely moving the average, results can be set beside ordinary least-squares and median regression slopes, showing whether the data hold an average effect, a sufficiency effect or both. Also provides plots, influential-case diagnostics, scope-sensitivity and resampling checks, random-data generation and power [...truncated...]
Author: Young Chan [aut, cre]
Maintainer: Young Chan <youngchanresearcher@gmail.com>

Diff between SCAtools versions 0.4.3 dated 2026-09-18 and 0.5.1 dated 2026-10-13

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More information about SCAtools at CRAN
Permanent link

New package sampleone with initial version 0.1.0
Package: sampleone
Title: Survey Sampling Methods for Teaching and Practice
Version: 0.1.0
Description: Planning, selection, and estimation for surveys under the main probability sampling designs taught in introductory sampling courses: simple random sampling with and without replacement, stratified sampling (proportional, Neyman, and cost-based allocation), systematic sampling, one- and two-stage cluster sampling, and ratio and regression estimators. Functions accept a superset of the inputs a given formula requires and silently ignore arguments that are not needed for the selected computation. Each function returns a structured object with the point estimate, the associated variance and confidence interval, a step-by-step breakdown of the calculation, and a short pedagogical note suggesting related methods to explore, making the package suitable both for applied survey work and for classroom use. Methods follow Cochran (1977, ISBN:0-471-16240-X) and Bolfarine & Bussab (2005, ISBN:8521203675), among others referenced in each function's documentation.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, utils, withr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
URL: https://github.com/mdelapi/sampleone
BugReports: https://github.com/mdelapi/sampleone/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-01 09:18:40 UTC; milap
Author: Miguel Luiz de Almeida Pinto [aut, cre], Mariano Martinez Espinosa [aut] this package implements)
Maintainer: Miguel Luiz de Almeida Pinto <phd20x@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-13 15:00:02 UTC

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New package rtemis.draw with initial version 0.5.3
Package: rtemis.draw
Title: Schema-Driven Interactive Charts, Network Graphs, and Maps
Version: 0.5.3
Date: 2026-09-28
Description: Create interactive statistical charts, network graphs and choropleth maps. Charts are rendered with the 'ECharts' 'JavaScript' library, networks with 'Sigma.js' and maps with 'MapLibre GL JS'. A high-level interface of plotting functions builds a complete visualization from data in a single call, while a low-level interface gives full control over every option. Both are based on the same type-checked and validated 'S7' configuration objects. Configurations can be saved to and restored from 'JSON' files, and each chart type has a published 'JSON Schema' that other interfaces can implement. Visualizations display as 'htmlwidgets' that automatically adapt to light and dark themes, work in 'R Markdown', 'Quarto' and 'shiny', and can be exported to Scalable Vector Graphics (SVG) files using 'Node.js'.
URL: https://www.rtemis.org, https://docs.rtemis.org/r/draw, https://docs.rtemis.org/r/draw-api
BugReports: https://github.com/rtemis-org/draw/issues
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Language: en-US
SystemRequirements: Node.js (>= 18) for optional SVG export
Depends: R (>= 4.4.0)
Imports: htmltools, htmlwidgets, jsonlite, rtemis.core (>= 0.4.6), S7, signal, stats, tools, utils, viridisLite
Suggests: data.table, jsonvalidate (>= 1.5.0), mgcv, pROC, rmarkdown, rtemis, rtemis.a3, shiny, survival, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-01 00:39:52 UTC; sdg
Author: E.D. Gennatas [aut, cre, cph]
Maintainer: E.D. Gennatas <gennatas@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-13 14:10:02 UTC

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New package pnotp with initial version 0.1.0
Package: pnotp
Title: Client for the 'PnotP' Platform
Version: 0.1.0
Description: Access the 'PnotP' platform <https://pnotp.ai> from R and 'RStudio'. One account API key drives data-compliant large language model chat, where every response carries a retention receipt; model training with pause, resume and cancel; model deployments and live inference; and hosted agents. Includes 'RStudio' addins to chat with the language model from the IDE, and a bridge to 'ellmer' for tool calling and streaming.
License: MIT + file LICENSE
URL: https://pnotp.ai, https://docs.pnotp.ai
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), curl, graphics, httr2 (>= 1.1.0), jsonlite, rlang (>= 1.1.0), rstudioapi, utils
Suggests: ellmer (>= 0.4.0), miniUI, shiny, testthat (>= 3.0.0), withr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-01 03:14:04 UTC; root
Author: Vicente Alonso Gallardo Montalva [aut, cre], PnotP [cph, fnd]
Maintainer: Vicente Alonso Gallardo Montalva <vicente@pnotp.ai>
Repository: CRAN
Date/Publication: 2026-10-13 14:30:02 UTC

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Package pipeflow updated to version 0.5.0 with previous version 0.4.0 dated 2026-09-27

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>

Diff between pipeflow versions 0.4.0 dated 2026-09-27 and 0.5.0 dated 2026-10-13

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Package morse updated to version 3.6.0 with previous version 3.3.5 dated 2026-01-14

Title: Modelling Reproduction and Survival Data in Ecotoxicology
Description: Advanced methods for a valuable quantitative environmental risk assessment using Bayesian inference of survival and reproduction Data. Among others, it facilitates Bayesian inference of the general unified threshold model of survival (GUTS). See our companion paper Baudrot and Charles (2021) <doi:10.21105/joss.03200>, as well as complementary details in Baudrot et al. (2018) <doi:10.1021/acs.est.7b05464> and Delignette-Muller et al. (2017) <doi:10.1021/acs.est.6b05326>.
Author: Virgile Baudrot [aut, cre], Sandrine Charles [aut], Marie Laure Delignette-Muller [aut], Wandrille Duchemin [ctb], Benoit Goussen [ctb], Nils Kehrein [ctb], Guillaume Kon-Kam-King [ctb], Christelle Lopes [ctb], Philippe Ruiz [ctb], Alexander Singer [ [...truncated...]
Maintainer: Virgile Baudrot <virgile.baudrot@qonfluens.com>

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New package GreenManureR with initial version 0.1.0
Package: GreenManureR
Title: Green Manure Decomposition, Nutrient Release and Crop Response
Version: 0.1.0
Description: Tools for analysing green manure and cover crop experiments, for example with Mucuna, sunhemp and dhaincha. Fits single-pool, double-pool and asymptotic litterbag decomposition models and ranks them by the corrected Akaike information criterion, estimates the time to 50 percent mass loss with Monte-Carlo confidence intervals, and quantifies nitrogen, phosphorus, potassium and other nutrient release over time. Further functions compute nutrient inputs, crop uptake, apparent nitrogen recovery and fertilizer nitrogen replacement value, estimate residual effects of green manures on succeeding kharif and rabi crops, link decomposition, nutrient release and crop response in a joint analysis, and generate standardized tables, diagnostic plots and a Word report.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, utils, withr
Suggests: ggplot2, officer, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-01 09:25:45 UTC; root
Author: Anbukkani Perumal [aut, cre, cph], Ramachandran S [aut, cph]
Maintainer: Anbukkani Perumal <anbueconomic@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-13 15:00:18 UTC

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New package epidist with initial version 1.0.0
Package: epidist
Title: Estimate Epidemiological Delay Distributions with 'brms'
Version: 1.0.0
Description: Understanding and accurately estimating epidemiological delay distributions is important for public health policy. These estimates influence epidemic situational awareness, control strategies, and resource allocation. This package provides methods to address the key challenges in estimating these distributions, including truncation, interval censoring, and dynamical biases, following Park et al. (2024) <doi:10.1101/2024.01.12.24301247> and Charniga et al. (2024) <doi:10.1371/journal.pcbi.1012520>. These issues are frequently overlooked, resulting in biased conclusions. Built on top of 'brms', it allows for flexible modelling including time-varying and spatial effects and partially pooled estimates of demographic characteristics.
License: MIT + file LICENSE
URL: https://epidist.epinowcast.org/, https://github.com/epinowcast/epidist/
BugReports: https://github.com/epinowcast/epidist/issues/
Depends: R (>= 4.1.0)
Imports: brms (>= 2.23.0), checkmate, cli, dplyr, lubridate, primarycensored (>= 1.6.0), purrr, rstan (>= 2.26.0), stats, tibble, tidyr, utils
Suggests: MASS, bayesplot, bookdown, collapse, distspec (>= 0.2.0), flexsurv, ggplot2, knitr, loo, marginaleffects, patchwork, posterior, priorsense, reformulas, roxyglobals, scales, spelling, testthat (>= 3.0.0), tidybayes, withr
LazyData: true
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-09-29 18:46:17 UTC; lshsa2
Author: Adam Howes [aut] , Sang Woo Park [aut] , Sam Abbott [aut, cre, cph] , Sebastian Funk [ctb]
Maintainer: Sam Abbott <contact@samabbott.co.uk>
Repository: CRAN
Date/Publication: 2026-10-13 14:40:02 UTC

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New package apsimwise with initial version 0.1.0
Package: apsimwise
Title: Unified Access to the APSIMWISE Ecosystem
Version: 0.1.0
Description: Provides a unified interface to R packages supporting the Agricultural Production Systems sIMulator (APSIM), crop modelling, weather analysis, and agricultural decision support. It simplifies installation and loading of related packages and provides consistent user-facing functions across multiple crop types.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: rapsimng (>= 0.6.0), rapsimng.wheat (>= 0.1.0), rapsimng.lupin (>= 0.1.0), rapsimng.chickpea (>= 0.1.0), rapsimng.fababean (>= 0.1.0), rapsimng.lentil (>= 0.1.0), rapsimng.canola (>= 0.1.0), tidyweather (>= 0.3.2)
Suggests: testthat (>= 3.0.0), dplyr, knitr, quarto, ggplot2
URL: https://apsimwise.bangyou.me/, https://github.com/byzheng/apsimwise
BugReports: https://github.com/byzheng/apsimwise/issues
VignetteBuilder: knitr, quarto
NeedsCompilation: no
Packaged: 2026-10-01 08:19:48 UTC; zhe00a
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <zheng.bangyou@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-13 14:50:13 UTC

More information about apsimwise at CRAN
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Package later2 (with last version 0.1) was removed from CRAN

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

2026-09-03 0.1

Permanent link
Package statMatchLCM updated to version 2.0 with previous version 1.2 dated 2026-05-15

Title: Statistical Matching Using Latent Class Models
Description: Provides a revised framework (1.2->2.0) for statistical matching of categorical data based on latent class models, including multiple imputation, predictive modeling, nearest-neighbour hot-deck matching, and probabilistic assignment of categorical target variables. It allows researchers to perform data integration when no unique identifiers are available by modeling the joint distribution of variables through latent categorical structures. The package supports estimation of latent class models, probabilistic matching between donor and recipient data sets, and generation of synthetic linked data under uncertainty. It is particularly useful in survey research and data fusion applications where combining information from multiple sources is required while preserving statistical properties and accounting for measurement error and missing data mechanisms.
Author: Alicja Wolny-Dominiak [aut, cre], Israa Lewaaelhamd [aut], Mohammed Ali Ismail [aut]
Maintainer: Alicja Wolny-Dominiak <woali@ue.katowice.pl>

Diff between statMatchLCM versions 1.2 dated 2026-05-15 and 2.0 dated 2026-10-13

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Package pkgcheck updated to version 0.3.4 with previous version 0.3.3 dated 2026-10-06

Title: Package Checks for 'rOpenSci'
Description: Check whether a package is ready for submission to the 'rOpenSci' peer review system ('rOpenSci' authors (2026) <doi:10.5281/zenodo.2553043> "'rOpenSci' Packages: Development, Maintenance, and Peer Review"). Incorporates the 'goodpractice' package and many additional checks, including aspects related to maintenance of online public code repositories.
Author: Mark Padgham [aut, cre] , Maelle Salmon [aut], Jacob Wujciak-Jens [aut] , Kelli F. Johnson [ctb] , Eunseop Kim [aut] , Katrina Brock [ctb] , Andy Teucher [aut] , Eric R. Scott [aut]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package onewaytests updated to version 3.2 with previous version 3.1 dated 2025-07-22

Title: One-Way Tests in Independent Groups Designs
Description: Performs one-way tests for independent groups designs under homoscedasticity and heteroscedasticity. The tests described by Dag et al. (2018) <doi:10.32614/RJ-2018-022> include one-way analysis of variance (ANOVA), Welch's heteroscedastic F test, Welch's heteroscedastic F test with trimmed means and Winsorized variances, Brown-Forsythe test, Alexander-Govern test, James second-order test, and Kruskal-Wallis test. Additional tests described by Kasikci et al. (2026) <doi:10.32614/RJ-2026-014> include Scott-Smith test, Box F test, Johansen F test, generalized tests equivalent to parametric bootstrap and fiducial tests, Alvandi's F test, Alvandi's generalized p-value, approximate F test, B square test, Cochran test, Weerahandi's generalized F test, modified Brown-Forsythe test, adjusted Welch's heteroscedastic F test, Welch-Aspin test, and permutation F test. The package also provides pairwise comparisons and graphical methods, as well as Student's t test, Welch's t test, and M [...truncated...]
Author: Osman Dag [aut, cre], Merve Kasikci [aut], Anil Dolgun [aut], N. Meric Konar [aut], Sam Weerahandi [aut], Malwane Ananda [aut], H. Erkin Sulekli [aut]
Maintainer: Osman Dag <osman.dag@hacettepe.edu.tr>

Diff between onewaytests versions 3.1 dated 2025-07-22 and 3.2 dated 2026-10-13

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New package ldpdist with initial version 0.1.0
Package: ldpdist
Title: Local Differential Privacy Tools for Distributional Inference
Version: 0.1.0
Author: Yi Liu [aut, cre], Qirui Hu [aut]
Maintainer: Yi Liu <yliu42@yorku.ca>
Description: Estimates cumulative distribution functions and quantiles under local differential privacy. Provides binary and categorical randomization mechanisms, isotonic distribution estimators, and simulation interfaces for sequential quantile estimation with self-normalized inference and asymptotic confidence sequences. Distribution estimators operate on privatized reports; quantile interfaces simulate local randomization internally. Methods include the quantile procedure of Liu et al. (2023) <https://proceedings.mlr.press/v202/liu23q.html> and the distribution estimator of Liu, Hu and Kong (2024) <https://proceedings.mlr.press/v235/liu24z.html>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: openssl
NeedsCompilation: yes
Packaged: 2026-09-30 00:38:05 UTC; ldpdist
Repository: CRAN
Date/Publication: 2026-10-13 13:30:02 UTC

More information about ldpdist at CRAN
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New package foresightr with initial version 0.1.1
Package: foresightr
Title: Forecasts Chosen by What Would Have Worked
Version: 0.1.1
Description: Time series forecasting that replays the past before trusting a model: a rolling-origin backtest, Tashman (2000) <doi:10.1016/S0169-2070(00)00065-0>, refits every candidate at each origin, the choice is made by out-of-sample error, and prediction intervals are quantiles of the errors actually observed, for each horizon and for totals of the next periods. Models include seasonal ARIMA by exact maximum likelihood with automatic orders, Hyndman and Khandakar (2008) <doi:10.18637/jss.v027.i03>; exponential smoothing in state space form, Hyndman, Koehler, Snyder and Grose (2002) <doi:10.1016/S0169-2070(01)00110-8>; the Theta method, Assimakopoulos and Nikolopoulos (2000) <doi:10.1016/S0169-2070(00)00066-2>; a trend with changepoints and events in the manner of Taylor and Letham (2018) <doi:10.1080/00031305.2017.1380080>; TBATS, De Livera, Hyndman and Snyder (2011) <doi:10.1198/jasa.2011.tm09771>; seasonal-trend decompositions by LOESS for one or several s [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/StrategicProjects/foresightr, https://strategicprojects.github.io/foresightr/
BugReports: https://github.com/StrategicProjects/foresightr/issues
Encoding: UTF-8
Depends: R (>= 4.2)
Imports: ggplot2 (>= 3.5.0), stats, tibble, utils
Suggests: testthat (>= 3.0.0), jsonlite, knitr, rmarkdown
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.81
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-09-30 17:58:44 UTC; leite
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut] , The authors of the dependency Rust crates [ctb]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-10-13 13:30:08 UTC

More information about foresightr at CRAN
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Package tatooheene updated to version 1.0.1 with previous version 1.0.0 dated 2025-12-15

Title: Technology Appraisal Toolbox for Health Economic Evaluations in the Netherlands
Description: Functions to support economic modelling in R based on the methods of the Dutch guideline for economic evaluations in healthcare <https://www.zorginstituutnederland.nl/documenten/2024/01/16/richtlijn-voor-het-uitvoeren-van-economische-evaluaties-in-de-gezondheidszorg>, CBS data <https://www.cbs.nl/>, and OECD data <https://www.oecd.org/en.html>.
Author: Stijn Peeters [aut, cre] , Eline Krijkamp [aut] , Frederick Thielen [aut]
Maintainer: Stijn Peeters <s.b.peeters@eshpm.eur.nl>

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Package smoots updated to version 1.1.5 with previous version 1.1.4 dated 2023-09-11

Title: Nonparametric Estimation of the Trend and Its Derivatives in TS
Description: The nonparametric trend and its derivatives in equidistant time series (TS) with short-memory stationary errors can be estimated. The estimation is conducted via local polynomial regression using an automatically selected bandwidth obtained by a built-in iterative plug-in algorithm or a bandwidth fixed by the user. A Nadaraya-Watson kernel smoother is also built-in as a comparison. With version 1.1.0, a linearity test for the trend function, forecasting methods and backtesting approaches are implemented as well. The smoothing methods of the package are described in Feng, Y., Gries, T., and Fritz, M. (2020) <doi:10.1080/10485252.2020.1759598>. The software itself is introduced in Feng, Y., Gries, T., Letmathe, S., and Schulz, D. (2022) <doi:10.32614/RJ-2022-017>.
Author: Yuanhua Feng [aut] , Sebastian Letmathe [aut] , Dominik Schulz [aut, cre] , Thomas Gries [ctb] , Marlon Fritz [ctb]
Maintainer: Dominik Schulz <dominik.schulz.r@gmail.com>

Diff between smoots versions 1.1.4 dated 2023-09-11 and 1.1.5 dated 2026-10-13

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Package psp updated to version 1.0.6 with previous version 1.0.5 dated 2026-01-15

Title: Parameter Space Partitioning MCMC for Global Model Evaluation
Description: Implements an n-dimensional parameter space partitioning algorithm for evaluating the global behaviour of formal computational models as described by Pitt, Kim, Navarro and Myung (2006) <doi:10.1037/0033-295X.113.1.57>.
Author: Lenard Dome [aut, cre], Andy Wills [aut]
Maintainer: Lenard Dome <lenarddome@gmail.com>

Diff between psp versions 1.0.5 dated 2026-01-15 and 1.0.6 dated 2026-10-13

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Package MTA updated to version 0.7.0 with previous version 0.6.0 dated 2023-10-31

Title: Multiscalar Territorial Analysis
Description: Build multiscalar territorial analysis based on various contexts.
Author: Ronan Ysebaert [aut] , Nicolas Lambert [aut] , Timothee Giraud [aut, cre]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

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Package mlt updated to version 1.8-4 with previous version 1.8-3 dated 2026-10-06

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020) <DOI:10.18637/jss.v092.i01>. Shift-scale (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) and multivariate (Klein et al, 2022, <DOI:10.1111/sjos.12501>) transformation models are part of this package. A package vignette is available from <DOI:10.32614/CRAN.package.mlt.docreg> and more convenient user interfaces to many models from <DOI:10.32614/CRAN.package.tram>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package cpop updated to version 1.0.10 with previous version 1.0.9 dated 2026-05-29

Title: Detection of Multiple Changes in Slope in Univariate Time-Series
Description: Detects multiple changes in slope using the CPOP dynamic programming approach of Fearnhead, Maidstone, and Letchford (2019) <doi:10.1080/10618600.2018.1512868>. This method finds the best continuous piecewise linear fit to data under a criterion that measures fit to data using the residual sum of squares, but penalizes complexity based on an L0 penalty on changes in slope. Further information regarding the use of this package with detailed examples can be found in Fearnhead and Grose (2024) <doi:10.18637/jss.v109.i07>.
Author: Daniel Grose [aut, cre], Paul Fearnhead [aut]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>

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Package oystermapR updated to version 1.6.0 with previous version 1.5.0 dated 2026-08-31

Title: Predict and Map Oyster Growth Suitability from Environmental Data
Description: Predicts spatial suitability for oyster growth from environmental survey data using rank-reciprocal weighted scoring. Users supply sensor data from Acoustic Doppler Current Profilers (ADCP), Conductivity-Temperature-Depth (CTD) sensors, bathymetric sonar, and sidescan sonar, specify a target species, and receive per-location suitability scores, a five-band 'GeoTIFF' heatmap for 'QGIS', contour lines, and a formatted PDF or HTML report. Supports seventeen species across global aquaculture regions, including Ostrea edulis, Magallana gigas, Crassostrea virginica, Crassostrea hongkongensis, and thirteen further species; see list_species(). Includes ocean acidification scoring via in-house aragonite saturation state (Omega_arag) calculation using Lueker et al. (2000) <doi:10.1016/S0304-4203(00)00022-0> and Mucci (1983) <doi:10.1357/002224083788520153> equilibrium constants (no external dependencies), variable impact diagnostics (variable_impact()), fine-scale habitat area analys [...truncated...]
Author: T Tucker [aut, cre]
Maintainer: T Tucker <tristantucker48@gmail.com>

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Package mevr updated to version 1.3.3 with previous version 1.1.1 dated 2024-06-30

Title: Fitting the Metastatistical Extreme Value Distribution MEVD
Description: Extreme value analysis with the metastatistical extreme value distribution MEVD (Marani and Ignaccolo, 2015, <doi:10.1016/j.advwatres.2015.03.001>) and some of its variants. In particular, analysis can be performed with the simplified metastatistical extreme value distribution SMEV (Marra et al., 2019, <doi:10.1016/j.advwatres.2019.04.002>) and the temporal metastatistical extreme value distribution TMEV (Falkensteiner et al., 2023, <doi:10.1016/j.wace.2023.100601>). Parameters can be estimated with probability weighted moments, maximum likelihood and least squares. The data can also be left-censored prior to a fit. Density, distribution function, quantile function and random generation for the MEVD, SMEV and TMEV are included. In addition, functions for the calculation of return levels including confidence intervals are provided. For a description of use cases please see the provided references.
Author: Harald Schellander [aut, cre] , Alexander Lieb [ctb] , Marc-Andre Falkensteiner [ctb]
Maintainer: Harald Schellander <harald.schellander@geosphere.at>

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Package jiebaRS updated to version 0.3.1 with previous version 0.3.0 dated 2026-08-26

Title: Chinese Text Segmentation, POS Tagging, and Keyword Extraction
Description: Provides fast Chinese text segmentation, keyword extraction via 'TF-IDF' and 'TextRank', and part-of-speech tagging, powered by a 'Rust' backend ('jieba-rs'). Supports custom dictionaries, user words, stop words, IDF files, and HMM models, with parallel batch processing of multiple strings. Serves as a modern, maintained replacement for the 'jiebaR' package.
Author: Hao Cheng [aut, cre, cph]
Maintainer: Hao Cheng <Yousa-Mirage@foxmail.com>

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Package geomorphR updated to version 0.2.0 with previous version 0.1.0 dated 2026-10-04

Title: Geometric Features and Footprint Comparison for 'sf' Objects
Description: Extracts reproducible geometric and urban-morphology descriptors from polygon and multipart polygon building footprints stored as 'sf' objects, including area, perimeter, compactness, shape, topology, convexity, orientation, and optional building-height and floor-area metrics. Compares polygon footprints across periods using the intersection-over-union (Jaccard) index (Jaccard, 1912) <doi:10.1111/j.1469-8137.1912.tb05611.x> to identify new constructions, potential demolitions, and footprint changes. Supports vector file formats readable by 'sf', including Shapefiles and GeoPackage (GPKG) vector files with named layers, optional boundary clipping, and reprojection to a common coordinate reference system. Returned 'sf' objects preserve source attributes and geometry for spatial analysis and downstream workflows, with optional parallel processing using 'future' for larger feature-extraction jobs.
Author: Jonathan Cohen [aut, cre]
Maintainer: Jonathan Cohen <cohen.jota@gmail.com>

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Package GenoTriplo updated to version 2.2.2 with previous version 2.2.1 dated 2026-07-28

Title: Genotyping Triploids/Tetraploids (or Diploids) from Luminescence Data
Description: Genotyping of triploid individuals from luminescence data (marker probeset A and B). Works also for diploids and tetraploids. Three main functions: Create_Dataset_from_file() to build dataset ; Clustering_parallele_from_dir() that regroups individuals with a same genotype based on proximity and Genotyping_parallele_from_dir() that assigns a genotype to each cluster. For Shiny interface use: launch_GenoShiny().
Author: Julien Roche [aut, cre], Florence Phocas [aut], Mathieu Besson [aut], Pierre Patrice [aut], Marc Vandeputte [aut], Francois Allal [aut], Pierrick Haffray [aut]
Maintainer: Julien Roche <julien.roche@inrae.fr>

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Package cepiweek updated to version 0.2.0 with previous version 0.1.2 dated 2026-02-19

Title: Continuous Epidemiological Week Indexing for Time-Series Analysis
Description: Provides a simple algorithm to generate a continuous epidemiological week index from date variables in a data frame. Weeks are computed as sequential 7-day intervals aligned to Mondays, starting from the earliest observed date or from a user-supplied start date. They do not reset at calendar year boundaries and are not ISO 8601 nor MMWR calendar weeks. Missing or non-convertible dates are returned as NA instead of stopping the computation. The approach is intended for epidemiological modeling and time-series analysis where temporal continuity is required.
Author: Daniel Degina [aut, cre], Joel Mbuyi [ctb]
Maintainer: Daniel Degina <deginadan@gmail.com>

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Package tsfgrnn updated to version 1.0.6 with previous version 1.0.5 dated 2024-02-15

Title: Time Series Forecasting Using GRNN
Description: A general regression neural network (GRNN) is a variant of a Radial Basis Function Network characterized by a fast single-pass learning. 'tsfgrnn' allows you to forecast time series using a GRNN model Francisco Martinez et al. (2019) <doi:10.1007/978-3-030-20521-8_17> and Francisco Martinez et al. (2022) <doi:10.1016/j.neucom.2021.12.028>. When the forecasting horizon is higher than 1, two multi-step ahead forecasting strategies can be used. The model built is autoregressive, that is, it is only based on the observations of the time series. You can consult and plot how the prediction was done. It is also possible to assess the forecasting accuracy of the model using rolling origin evaluation.
Author: Maria Pilar Frias-Bustamante [aut], Ana Maria Martinez-Rodriguez [aut], Antonio Conde-Sanchez [aut], Francisco Martinez [aut, cre]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

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Package rxode2 updated to version 5.1.8 with previous version 5.1.7.1 dated 2026-09-29

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The vendored 'SUNDIALS' 'CVODE' sources and headers are released under the BSD-3-Clause license. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut, cre] , Wenping Wang [aut], Aaron Collier [ctb] , Alan Hindmarsh [ctb], Arun Srinivasan [ctb], Ashley Crawford [ctb] , Awad H. Al-Mohy [ctb], Bill Denney [ctb] , Brian Ripley [ctb], Cleve Moler [ctb], Cody J. Balos [ctb] , Dan [...truncated...]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

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 rxode2-5.1.8/rxode2/tests/testthat/test-rxsolve-ui-dispatch.R              |   11 
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 rxode2-5.1.8/rxode2/tests/testthat/test-s3-delayed-register.R              |   37 
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 rxode2-5.1.8/rxode2/tests/testthat/test-ui-good.R                          |    9 
 rxode2-5.1.8/rxode2/tests/testthat/test-ui-ini-lotri.R                     |    7 
 rxode2-5.1.8/rxode2/tests/testthat/test-ui-ini-str.R                       |    4 
 rxode2-5.1.8/rxode2/tests/testthat/test-ui-lhs.R                           |   42 
 rxode2-5.1.8/rxode2/tests/testthat/test-ui-log-vs-backtransformed.R        |    6 
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 rxode2-5.1.8/rxode2/tests/testthat/test-ui-modelExtract.R                  |   94 
 rxode2-5.1.8/rxode2/tests/testthat/test-ui-modelName.R                     |   73 
 rxode2-5.1.8/rxode2/tests/testthat/test-ui-multiple-endpoint.R             |   81 
 rxode2-5.1.8/rxode2/tests/testthat/test-ui-mv.R                            |   53 
 rxode2-5.1.8/rxode2/tests/testthat/test-ui-piping-single-endpoint.R        |    1 
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 rxode2-5.1.8/rxode2/tests/testthat/test-ui-simulation.R                    |  233 
 rxode2-5.1.8/rxode2/tests/testthat/test-ui-single-theta.R                  |    1 
 rxode2-5.1.8/rxode2/tests/testthat/test-ui-solve.R                         |    3 
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 rxode2-5.1.8/rxode2/tests/testthat/test-yeojohnson-derivative.R            |   11 
 rxode2-5.1.8/rxode2/tests/testthat/test-zzzz-plot.R                        |   33 
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 629 files changed, 65681 insertions(+), 36415 deletions(-)

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