Fri, 25 Sep 2026

Package nlmixr2rpt updated to version 0.2.3 with previous version 0.2.2 dated 2025-10-11

Title: Templated Word and PowerPoint Reporting of 'nlmixr2' Fitting Results
Description: This allows you to generate reporting workflows around 'nlmixr2' analyses with outputs in Word and PowerPoint. You can specify figures, tables and report structure in a user-definable 'YAML' file. Also you can use the internal functions to access the figures and tables to allow their including in other outputs (e.g. R Markdown).
Author: John Harrold [aut, cre]
Maintainer: John Harrold <john.m.harrold@gmail.com>

Diff between nlmixr2rpt versions 0.2.2 dated 2025-10-11 and 0.2.3 dated 2026-09-25

 DESCRIPTION                                |   16 ++++++------
 MD5                                        |   15 +++++++-----
 NAMESPACE                                  |   36 +++++++++++++++++++----------
 NEWS.md                                    |    2 -
 R/build_equations.R                        |only
 inst/doc/Accessing_Figures_and_Tables.html |    7 ++---
 inst/doc/Reporting_nlmixr_Fit_Results.html |   29 +++++++++++++++++++----
 inst/templates/report_fit.yaml             |   20 ++++++++++++++++
 man/gen_eqn_table.Rd                       |only
 tests/testthat/test-gen_eqn_table.R        |only
 10 files changed, 89 insertions(+), 36 deletions(-)

More information about nlmixr2rpt at CRAN
Permanent link

Package dtametaTMB updated to version 0.1.3 with previous version 0.1.2 dated 2026-08-26

Title: Diagnostic Test Accuracy Meta-Analysis using Template Model Builder
Description: Fits the hierarchical summary receiver operating characteristic (HSROC) model of Rutter and Gatsonis (2001) <doi:10.1002/sim.942>, the bivariate binomial-normal model of Reitsma et al. (2005) <doi:10.1016/j.jclinepi.2005.02.022>, the threshold-based bivariate time-to-event model of Hoyer et al. (2018) <doi:10.1002/jrsm.1273>, and the latent class extensions of Liu et al. (2015) <doi:10.1111/biom.12264> for diagnostic studies with an imperfect reference standard. Provides subgroup analyses, HSROC meta-regression, likelihood-ratio tests, summary ROC plots, and coupled forest plots.
Author: Claus Nowak [aut, cre]
Maintainer: Claus Nowak <claus.nowak@donau-uni.ac.at>

Diff between dtametaTMB versions 0.1.2 dated 2026-08-26 and 0.1.3 dated 2026-09-25

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 dtametaTMB-0.1.3/dtametaTMB/R/fitReitsmaLCA.R                               |   15 
 dtametaTMB-0.1.3/dtametaTMB/R/fitReitsmaSubgroup.R                          |    5 
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 dtametaTMB-0.1.3/dtametaTMB/R/fitRutterGatsonis.R                           |   18 
 dtametaTMB-0.1.3/dtametaTMB/R/fitRutterGatsonisLCA.R                        |   17 
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 dtametaTMB-0.1.3/dtametaTMB/R/plotHoyerAFT.R                                |    2 
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 dtametaTMB-0.1.3/dtametaTMB/R/summaryReitsmaLCA.R                           |   14 
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 dtametaTMB-0.1.3/dtametaTMB/R/summaryReitsmaSubgroupLCA.R                   |   15 
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 dtametaTMB-0.1.3/dtametaTMB/man/logLik.dtametaTMB.Rd                        |   16 
 dtametaTMB-0.1.3/dtametaTMB/man/plot.HoyerAFT.Rd                            |    2 
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 dtametaTMB-0.1.3/dtametaTMB/man/summary.HoyerAFT.Rd                         |    2 
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 dtametaTMB-0.1.3/dtametaTMB/man/summary.ReitsmaLCA.Rd                       |    3 
 dtametaTMB-0.1.3/dtametaTMB/man/summary.ReitsmaSubgroup.Rd                  |    2 
 dtametaTMB-0.1.3/dtametaTMB/man/summary.ReitsmaSubgroupLCA.Rd               |    3 
 dtametaTMB-0.1.3/dtametaTMB/man/summary.RutterGatsonis.Rd                   |    2 
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 dtametaTMB-0.1.3/dtametaTMB/man/summary.RutterGatsonisSubgroup.Rd           |    2 
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 dtametaTMB-0.1.3/dtametaTMB/man/vcov.dtametaTMB.Rd                          |   21 
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More information about dtametaTMB at CRAN
Permanent link

Package rswipl updated to version 10.1.16 with previous version 10.1.15 dated 2026-09-17

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

Diff between rswipl versions 10.1.15 dated 2026-09-17 and 10.1.16 dated 2026-09-25

 rswipl-10.1.15/rswipl/src/swipl-devel/packages/xpce/src/bitmaps/ms_left_arrow.xpm        |only
 rswipl-10.1.16/rswipl/DESCRIPTION                                                        |    8 
 rswipl-10.1.16/rswipl/MD5                                                                |  317 +++---
 rswipl-10.1.16/rswipl/NEWS.md                                                            |    6 
 rswipl-10.1.16/rswipl/src/install.libs.R                                                 |    2 
 rswipl-10.1.16/rswipl/src/swipl-devel/VERSION                                            |    2 
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 rswipl-10.1.16/rswipl/src/swipl-devel/boot/toplevel.pl                                   |   21 
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Package DemographicTable updated to version 0.2.4 with previous version 0.2.3 dated 2025-08-18

Title: Create Demographic Table
Description: To create demographic table with simple summary statistics, with optional comparison(s) over one or more groups.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between DemographicTable versions 0.2.3 dated 2025-08-18 and 0.2.4 dated 2026-09-25

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New package DCC with initial version 1.2.1
Package: DCC
Title: Data Cleaning Center for Survey and Assessment Data
Version: 1.2.1
Description: Rule-driven, auditable cleaning of survey and assessment response data, implementing the WeianData Detect-Execute-Report workflow. Provides a multi-format, multi-encoding input layer (CSV, 'Excel', 'SPSS', 'Stata', 'SAS', Parquet, JSON), the dcc_data container with a provenance chain, level-0 structural diagnostics, five built-in response-quality detectors (missing items, straight-lining, response time, trap items, score anomalies), a declarative YAML rule engine, an execution engine with a cell-level audit log, answer-key scoring, multi-form to master item bank mapping, a normalized report model rendered as bilingual staff workbooks and HTML, complete statistical bundles, and versioned machine JSON/JSONL with findings-to-changes reconciliation, cell-level lineage tracing, and manifest-based one-command reproduction. Includes a protected bilingual strict project workbook and matching JSON contract with cell-addressed validation, non-mutating preflight, preview-first execution, and loca [...truncated...]
License: GPL (>= 2)
Copyright: See file inst/COPYRIGHTS.
Encoding: UTF-8
Language: en
Depends: R (>= 4.1)
Imports: arrow, data.table (>= 1.14.0), haven (>= 2.5.5), jsonlite, openxlsx2 (>= 1.28), readODS (>= 2.3.5), readxl (>= 1.5.0), stringi (>= 1.7.0), methods, stats, tools, utils, writexl, yaml
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://github.com/weiandata/DCC
BugReports: https://github.com/weiandata/DCC/issues
NeedsCompilation: no
Packaged: 2026-09-02 11:30:25 UTC; makunxiang
Author: Kunxiang Ma [aut, cre], WEIAN DATA TECH Co., Ltd. [cph, fnd]
Maintainer: Kunxiang Ma <makunxiang@weiandata.com>
Repository: CRAN
Date/Publication: 2026-09-25 22:40:07 UTC

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New package churon with initial version 0.1.12
Package: churon
Title: 'ONNX Runtime' Integration
Version: 0.1.12
Description: Provides high-performance R bindings for 'ONNX Runtime' <https://onnxruntime.ai/>, enabling efficient machine learning model inference. Written in 'Rust' for memory safety and speed, the package supports cross-platform model execution with multiple execution providers. Includes comprehensive error handling and validation, with bundled MNIST example model for immediate testing and prototyping. Designed for production use with support for macOS (arm64), Linux (x64/arm64), and Windows (x64). Runtime libraries are downloaded on explicit request from <https://github.com/microsoft/onnxruntime/releases>.
License: MIT + file LICENSE
URL: https://github.com/mrchypark/churon
BugReports: https://github.com/mrchypark/churon/issues
Encoding: UTF-8
SystemRequirements: Cargo (>= 1.88.0), rustc (>= 1.88.0); ONNX Runtime (>= 1.28.0, optional at runtime)
Depends: R (>= 4.0.0)
Imports: digest
Suggests: testthat (>= 3.2.0)
NeedsCompilation: yes
Packaged: 2026-09-10 16:36:56 UTC; cypark
Author: Chanyub Park [aut, cre] , The authors of the dependency Rust crates [ctb] , ONNX Project contributors [ctb, cph] , Microsoft Corporation [cph]
Maintainer: Chanyub Park <mrchypark@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-25 22:40:02 UTC

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Package birp readmission to version 0.9.0 with previous version 0.0.6 dated 2026-08-21

Title: Testing for Population Trends Using Low-Cost Ecological Count Data
Description: A Bayesian tool to test for population trends and changes in trends under arbitrary designs, including before-after (BA), control-intervention (CI) and before-after-control-intervention (BACI) designs commonly used to assess conservation impact. It infers changes in trends jointly from data obtained with multiple survey methods, as well as from limited and noisy data not necessarily collected in standardized ecological surveys. Observed counts can be modeled as following either a Poisson or a negative binomial model, and both deterministic and stochastic trend models are available. For more details on the model see Singer et al. (2025) <doi:10.1101/2025.01.08.631844>, and the file 'AUTHORS' for a list of copyright holders and contributors.
Author: Madleina Caduff [aut], Andreas Fueglistaler [aut, cre], Daniel Wegmann [aut], Liam Singer [aut], Raphael Eckel [ctb], Conrad Sanderson [cph] , Ryan Curtin [cph] , Daniel Lemire [cph] , Joao Paulo Magalhaes [cph] , Victor Zverovich [cph] , Rene Brun [c [...truncated...]
Maintainer: Andreas Fueglistaler <andreas.fueglistaler@unifr.ch>

This is a re-admission after prior archival of version 0.0.6 dated 2026-08-21

Diff between birp versions 0.0.6 dated 2026-08-21 and 0.9.0 dated 2026-09-25

 DESCRIPTION                     |   51 +++++++++++------
 MD5                             |   17 +++--
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New package arity with initial version 0.1.0
Package: arity
Title: Format R Code with Arity
Version: 0.1.0
Description: Provides R bindings to the deterministic, rule-based formatter from 'arity'. Format R source text or individual files using a style based on the tidyverse R style guide.
License: MIT + file LICENSE
URL: https://github.com/jolars/arity-r, https://arity.cc
BugReports: https://github.com/jolars/arity-r/issues
Depends: R (>= 4.2)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.89.0
NeedsCompilation: yes
Packaged: 2026-09-01 19:07:21 UTC; jola
Author: Johan Larsson [aut, cre, cph]
Maintainer: Johan Larsson <johan@jolars.co>
Repository: CRAN
Date/Publication: 2026-09-25 22:30:09 UTC

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Package vprint updated to version 1.5 with previous version 1.4 dated 2026-09-08

Title: More Flexible Form of Boolean Verbose
Description: R functions are not supposed to print text without giving the user the option to turn the printing off or on using a Boolean 'verbose' in a construct like 'if(verbose) print(...)'. But this black/white approach is rather rigid, and an approach with shades of gray might be more appropriate in many circumstances. As of Version 1.4, also supports text and background colors, as well as text styles.
Author: Barry Zeeberg [aut, cre]
Maintainer: Barry Zeeberg <barryz2013@gmail.com>

Diff between vprint versions 1.4 dated 2026-09-08 and 1.5 dated 2026-09-25

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Package surveyframe updated to version 0.4.2 with previous version 0.4.1 dated 2026-09-03

Title: Survey Instrument Workflows
Description: Provides a design-first survey research workflow. An instrument, an analysis plan declared before data collection, and a measurement or structural model are held together in one typed, integrity-checked object (the 'sframe'), so a study's confirmatory tests are fixed before responses arrive rather than chosen afterward. Includes visual instrument design via a browser-based builder or 'Shiny' studio, export to a self-contained static HTML survey, an embeddable 'Shiny' module, SHA-256 integrity-checked serialisation to the '.sframe' format, multi-page survey rendering with branching logic, response quality checking, scale scoring, psychometric diagnostics, analysis-plan execution, model syntax generation for EFA, CFA, CB-SEM, and PLS-SEM, an interactive response dashboard, codebook generation, and reproducible HTML reporting. Also supports multi-criteria decision analysis (AHP, ANP, DEMATEL, TOPSIS, VIKOR, MOORA, SMART, WASPAS, PROMETHEE II, ELECTRE I), small-sample survey helpers, and t [...truncated...]
Author: Mohammed Ali Sharafuddin [aut, cre]
Maintainer: Mohammed Ali Sharafuddin <mohammedali.page@gmail.com>

Diff between surveyframe versions 0.4.1 dated 2026-09-03 and 0.4.2 dated 2026-09-25

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Package openfhe.R updated to version 1.5.1.2 with previous version 1.5.1.1 dated 2026-08-23

Title: R Interface to the 'OpenFHE' Fully Homomorphic Encryption Library
Description: Provides an R interface to 'OpenFHE', the open-source C++ library for fully homomorphic encryption (Al Badawi and others, 2022) <https://eprint.iacr.org/2022/915>, which allows computation directly on encrypted data without access to the secret key. Supports the Brakerski-Fan-Vercauteren (BFV, 2012) <https://eprint.iacr.org/2012/144>, Brakerski-Gentry-Vaikuntanathan (BGV, 2014) <doi:10.1145/2633600>, and Cheon-Kim-Kim-Song (CKKS, 2017) <https://eprint.iacr.org/2016/421> schemes for arithmetic on encrypted numbers, together with the Ducas-Micciancio (FHEW, 2015) <https://eprint.iacr.org/2014/816> and Chillotti-Gama-Georgieva-Izabachene (TFHE, 2020) <https://eprint.iacr.org/2018/421> schemes for evaluating arbitrary functions on encrypted bits.
Author: Balasubramanian Narasimhan [aut, cre, cph] , New Jersey Institute of Technology [cph] , Duality Technologies, Inc. [ctb, cph] , Samuel Neves [ctb, cph] , Jean-Philippe Aumasson [ctb, cph] , Randolph Voorhies [ctb, cph] , Shane Grant [ctb, cph] , Juan [...truncated...]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

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Package matsbyname updated to version 0.6.15 with previous version 0.6.14 dated 2026-01-30

Title: An Implementation of Matrix Mathematics that Respects Row and Column Names
Description: An implementation of matrix mathematics wherein operations are performed "by name."
Author: Matthew Heun [aut, cre]
Maintainer: Matthew Heun <matthew.heun@me.com>

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Package landgraph updated to version 0.0.3 with previous version 0.0.1 dated 2026-07-06

Title: Graphs and Covariance for Landscape Genetics
Description: Shared, dependency-light primitives for landscape-genetic network methods: a lightweight deme/landscape graph (vertex coordinates and an undirected edge list) with constructors from coordinates; genetic covariance and distance from biallelic or multiallelic data (the Yang-style normalized-dosage covariance and the Dyer-style multivariate covariance); and antisymmetric per-edge directional covariate builders (the gradient of a scalar potential, and the projection of a vector flow field). Used by 'terradish' (symmetric resistance). No compiled code.
Author: Bill Peterman [aut, cre, cph], Nathaniel S. Pope [aut, cph]
Maintainer: Bill Peterman <peterman.73@osu.edu>

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Package DEoptimR updated to version 1.2-2 with previous version 1.2-1 dated 2026-08-20

Title: Differential Evolution Optimization in Pure R
Description: Differential Evolution (DE) stochastic heuristic algorithms for global optimization of problems with and without general constraints. The aim is to curate a collection of its variants that (1) do not sacrifice simplicity of design, (2) are essentially tuning-free, and (3) can be efficiently implemented directly in the R language. Currently, it provides implementations of the algorithms 'jDE' by Brest et al. (2006) <doi:10.1109/TEVC.2006.872133> for single-objective optimization and 'NCDE' by Qu et al. (2012) <doi:10.1109/TEVC.2011.2161873> for multimodal optimization (single-objective problems with multiple solutions).
Author: Eduardo L. T. Conceicao [aut, cre], Martin Maechler [ctb]
Maintainer: Eduardo L. T. Conceicao <mail@eduardoconceicao.org>

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Package cogmod updated to version 0.3.3 with previous version 0.3.0 dated 2026-09-12

Title: Cognitive Models for Subjective Scales and Decision Making Tasks
Description: Implements cognitive models for data from subjective (Likert or analog) scales and from decision making tasks with reaction times and choice data. Provides random generation, density functions, and custom response distributions for Bayesian estimation with 'brms', covering discrete beta, ordered beta and choice-confidence models for subjective ratings; reaction time distributions such as the ex-Gaussian and the shifted log-normal, Wald, gamma and Weibull; and sequential sampling models of choice and reaction time, including the drift diffusion model (DDM), the racing diffusion model (RDM), the lognormal race model (LNR) and the linear ballistic accumulator (LBA). The website provides examples and tutorials for using and interpreting the models. Methods are described in Ratcliff and McKoon (2008) <doi:10.1162/neco.2008.12-06-420>, Brown and Heathcote (2008) <doi:10.1016/j.cogpsych.2007.12.002>, Rouder et al. (2015) <doi:10.1007/s11336-013-9396-3>, Tillman et al. (2020) [...truncated...]
Author: Dominique Makowski [aut, cre]
Maintainer: Dominique Makowski <D.Makowski@sussex.ac.uk>

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Package BAwiR updated to version 1.5.5 with previous version 1.5.4 dated 2026-09-07

Title: Analysis of Basketball Data
Description: Collection of tools to work with European basketball data. Functions available are related to friendly web scraping, data management and visualization. Data were obtained from <https://www.euroleaguebasketball.net/euroleague/>, <https://www.euroleaguebasketball.net/eurocup/> and <https://acb.com/>, following the instructions of their respectives robots.txt files, when available. Box score data are available for the three leagues. Play-by-play and spatial shooting data are also available for the Spanish league. Methods for analysis include a population pyramid, 2D plots, circular plots of players' percentiles, plots of players' monthly/yearly stats, team heatmaps, team shooting plots, team four factors plots, cross-tables with the results of regular season games, maps of nationalities, combinations of lineups, possessions-related variables, timeouts, performance by periods, personal fouls, offensive rebounds and different types of shooting charts. Please see Vinue (202 [...truncated...]
Author: Guillermo Vinue [aut, cre]
Maintainer: Guillermo Vinue <guillermo.vinue@uv.es>

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Package ggchangepoint updated to version 0.5.0 with previous version 0.4.0 dated 2026-08-24

Title: Combines Changepoint Analysis with 'ggplot2'
Description: A unified, tidy, 'ggplot2'-native interface to changepoint detection in R. Provides the 'ggcpt' S3 result class with 'broom'-style tidy/glance/augment methods, 'autoplot()' (with confidence intervals, significance regions, detector statistics, solution paths, scale space, and multivariate facets), composable geoms ('geom_changepoint()', 'geom_cpt_segment()', 'geom_cpt_ci()', 'geom_cpt_region()', 'geom_cpt_label()', 'geom_cpt_event()', 'stat_changepoint()'), and a 'cpt_detect()' dispatcher covering fifty methods with introspection via 'cpt_methods()': penalised/optimal partitioning, multiscale and search methods, nonparametric and kernel methods, Bayesian methods, high-dimensional, functional, covariance and network methods, regression breaks, seasonal-trend decomposition, the classical single-change tests, and robust detection under drift and autocorrelation. Adds inference (Narrowest Significance Pursuit regions, a unified 'cpt_confint()', post-detection tests), selection of the numbe [...truncated...]
Author: Youzhi Yu [aut, cre]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>

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Package secretbase updated to version 1.3.1 with previous version 1.3.0 dated 2026-06-12

Title: Cryptographic Hash Functions and Data Encoding
Description: Fast and memory-efficient streaming hash functions, binary/text encoding and serialization. Hashes strings and raw vectors directly. Stream hashes files which can be larger than memory, as well as in-memory objects through R's serialization mechanism. Implements the SHA-256, SHA-3 and 'Keccak' cryptographic hash functions, SHAKE256 extendable-output function (XOF), 'SipHash' pseudo-random function, base64 (including the URL-safe variant) and base58 encoding, 'CBOR' and 'JSON' serialization.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph], The Mbed TLS Contributors [cph] , Red Hat, Inc. [cph] , Luke Dashjr [cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

Diff between secretbase versions 1.3.0 dated 2026-06-12 and 1.3.1 dated 2026-09-25

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Package foresty updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-12

Title: Forest Plots and Subgroup Effects from Fitted Regression Models
Description: Draws forest plots of exposure effects from fitted regression models. Name an exposure and 'foresty' plots its effect. Name an effect modifier as well and it refits the model with the interaction term, estimates the exposure effect within each level of the modifier as a linear combination of the coefficients, and reports the joint interaction test beside those estimates. It takes one exposure and one modifier at a time, so the interaction is always a two-way one. Rows of the plot and of the table beside it share one scale, in a layout that can follow a journal's house style. The same results go to a self-contained HTML page holding the subgroup estimates, the joint test and the coefficient table. The 'car' package computes the linear combinations and their tests. Models fitted by stats::glm(), stats::lm(), the 'survival' package, the 'lme4' package, the 'geepack' package and the 'survey' package are supported, as is any fit supplying coef() and vcov(). Ordinal outcomes are supported th [...truncated...]
Author: Akihiro Shiroshita [aut, cre, cph], Yuki Kataoka [aut]
Maintainer: Akihiro Shiroshita <akihirokun8@gmail.com>

Diff between foresty versions 0.1.0 dated 2026-09-12 and 0.2.0 dated 2026-09-25

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Package dtlog updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-15

Title: Logging for 'data.table' Operations
Description: Provides feedback about 'data.table' operations. 'dtlog' redefines the subsetting method for data tables as well as several functions exported by 'data.table' so that each operation prints a short message describing what it did: how many rows were removed, which columns were added, updated or dropped, how many groups an aggregation produced, and so on. The operations themselves are left untouched, including modification by reference. It also provides dttable(), which describes the variables a single data table holds and passes every other call on to base::table() unchanged. Inspired by the 'tidylog' package.
Author: Akihiro Shiroshita [aut, cre, cph]
Maintainer: Akihiro Shiroshita <akihirokun8@gmail.com>

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Package datasusr updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-04

Title: Fast Access to Brazilian Public Health Data from 'DATASUS'
Description: Provides fast, in-memory reading of 'DATASUS' 'DBC' files using native 'C' code, along with a catalog of public health data sources, 'FTP' file discovery, caching downloads, and a high-level datasus_fetch() function that lists, downloads, and reads files in a single call. Bundles the 'blast' decompressor from 'zlib' contrib/blast to decode 'PKWare DCL' compressed 'DBC' files and parses 'DBF' records directly for efficient import into tibbles. See the 'DATASUS' file transfer site <https://datasus.saude.gov.br> and Adler (2003) <https://github.com/madler/zlib/tree/master/contrib/blast> for details on the underlying data and compression format.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Mark Adler [ctb, cph]
Maintainer: Andre Leite <leite@castlab.org>

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Package nlmixr2save updated to version 0.2.1 with previous version 0.2.0 dated 2026-08-04

Title: Save 'nlmixr2' Fits in a Format Readable Outside 'nlmixr2'
Description: Provides tools to save 'nlmixr2' fitted models in a portable format readable outside of 'nlmixr2' and independent of the package version. 'nlmixr2' fits and compares 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 uses compiled C code from the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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

Title: Fast and Functional Data Structures
Description: Provides fast, side-effect free data structures, including catenable named lists, priority queues, double-ended queues, ordered sequences, and interval indices. Implementation is based on the finger-tree data structure of Hinze and Paterson (2006) <doi:10.1017/S0956796805005769>.
Author: Shawn T. O'Neil [aut, cre]
Maintainer: Shawn T. O'Neil <shawn@tislab.org>

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Package SVAlignR updated to version 0.10.5 with previous version 0.9.2 dated 2025-09-24

Title: Recovering Structure of Long Molecules from Structural Variation Data
Description: Implements a method to combine multiple levels of multiple sequence alignment to uncover the structure of complex DNA rearrangements.
Author: Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

Diff between SVAlignR versions 0.9.2 dated 2025-09-24 and 0.10.5 dated 2026-09-25

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Package spareg updated to version 1.2.0 with previous version 1.1.1 dated 2025-08-19

Title: Sparse Projected Averaged Regression
Description: A flexible framework combining variable screening and random projection techniques for fitting ensembles of predictive generalized linear models to high-dimensional data. Designed for extensibility, the package implements key techniques as S3 classes with user-friendly constructors, enabling easy integration and development of new procedures for high-dimensional applications.
Author: Laura Vana-Guer [aut, cre] , Roman Parzer [aut] , Peter Filzmoser [aut]
Maintainer: Laura Vana-Guer <laura.vana.guer@tuwien.ac.at>

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Package mnt updated to version 1.4 with previous version 1.3 dated 2020-07-31

Title: Affine Invariant Tests of Multivariate Normality
Description: Various affine invariant multivariate normality tests are provided. It is designed to accompany the survey article Ebner, B. and Henze, N. (2020) <doi:10.1007/s11749-020-00740-0> titled "Tests for multivariate normality -- a critical review with emphasis on weighted L^2-statistics". We implement new and time honoured L^2-type tests of multivariate normality, such as the Baringhaus-Henze-Epps-Pulley (BHEP) test, the Henze-Zirkler test, the test of Henze-Jiménes-Gamero, the test of Henze-Jiménes-Gamero-Meintanis, the test of Henze-Visage, the Dörr-Ebner-Henze test based on harmonic oscillator and the Dörr-Ebner-Henze test based on a double estimation in a PDE. Secondly, we include the measures of multivariate skewness and kurtosis by Mardia, Koziol, Malkovich and Afifi and Móri, Rohatgi and Székely, as well as the associated tests. Thirdly, we include the tests of multivariate normality by Cox and Small, the 'energy' test of Székely and Rizzo, the tests based on spherical harmonics [...truncated...]
Author: Lucas Butsch [aut], Bruno Ebner [aut, cre], Jaco Visagie [ctb], Johann Siemens [ctb]
Maintainer: Bruno Ebner <bruno.ebner@kit.edu>

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Package WayFindR updated to version 0.7.1 with previous version 0.7.0 dated 2026-01-08

Title: Computing Graph Structures on WikiPathways
Description: Converts pathways from 'WikiPathways' GPML format or 'KEGG' KGML format into 'igraph' objects. Includes tools to find all cycles in the resulting graphs and determine which ones involve negative feedback (inhibition). See <doi:10.1093/nargab/lqag051>.
Author: Kevin R. Coombes [aut, cre], Polina Bombina [aut]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package shewhartr updated to version 1.4.0 with previous version 1.3.0 dated 2026-05-13

Title: Statistical Process Control with Tidyverse-Native Workflows
Description: A comprehensive toolkit for Statistical Process Control (SPC) that combines the rigor of classical Shewhart methodology with modern tidyverse-native interfaces. Provides classical control charts for variables (I-MR, Xbar-R, Xbar-S) and attributes (p, np, c, u), as well as regression-based control charts for processes with trend. Includes Nelson runs tests, Average Run Length (ARL) simulation, process capability indices with bootstrap confidence intervals, Box-Cox transformation guidance, and a clean Phase I / Phase II workflow. All chart objects integrate with broom via 'tidy', 'glance' and 'augment' methods. References: Shewhart (1931, ISBN:0-87389-076-0); Montgomery (2019, ISBN:978-1-119-39930-8); Nelson (1984) <doi:10.1080/00224065.1984.11978921>; Woodall (2000) <doi:10.1080/00224065.2000.11980013>; Box & Cox (1964) <doi:10.1111/j.2517-6161.1964.tb00553.x>.
Author: Andre Leite [aut, cre], Hugo Vasconcelos [aut], Raydonal Ospina [aut], Cristiano Ferraz [aut], Castlab [cph, fnd]
Maintainer: Andre Leite <leite@castlab.org>

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Package RPointCloud updated to version 0.9.2 with previous version 0.9.1 dated 2026-02-17

Title: Visualizing Topological Loops and Voids
Description: Visualizations to explain the results of a topological data analysis. The goal of topological data analysis is to identify persistent topological structures, such as loops (topological circles) and voids (topological spheres), in data sets. The output of an analysis using the 'TDA' package is a Rips diagram (named after the mathematician Eliyahu Rips). The goal of 'RPointCloud' is to fill in these holes in the data by providing tools to visualize the features that help explain the structures found in the Rips diagram. See McGee and colleagues (2024) <doi:10.1101/2024.05.16.593927> and (2026) <doi: 10.3390/biotech15030063>.
Author: Kevin R. Coombes [aut, cre], Jake Reed [aut], RB McGee [aut]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package CloneSeeker updated to version 1.0.17 with previous version 1.0.16 dated 2026-02-10

Title: Seeking and Finding Clones in Copy Number and Sequencing Data
Description: Defines the classes and functions used to simulate and to analyze data sets describing copy number variants and, optionally, sequencing mutations in order to detect clonal subsets. See Zucker et al. (2019) <doi:10.1093/bioinformatics/btz057>.
Author: Mark Zucker [aut], Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package visOmopResults updated to version 1.5.1 with previous version 1.5.0 dated 2026-05-18

Title: Graphs and Tables for OMOP Results
Description: Provides methods to transform omop_result objects into formatted tables and figures, facilitating the visualisation of study results working with the Observational Medical Outcomes Partnership (OMOP) Common Data Model.
Author: Marti Catala [aut] , Nuria Mercade-Besora [aut, cre] , Yuchen Guo [ctb] , Elin Rowlands [ctb] , Marta Alcalde-Herraiz [ctb] , Edward Burn [ctb]
Maintainer: Nuria Mercade-Besora <nuria.mercadebesora@ndorms.ox.ac.uk>

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Package SillyPutty updated to version 0.4.4 with previous version 0.4.3 dated 2026-09-25

Title: Silly Putty Clustering
Description: Implements a simple, novel clustering algorithm based on optimizing the silhouette width. See <doi:10.1101/2023.11.07.566055> for details.
Author: Dwayne Tally [aut], Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package rewind updated to version 0.3.0 with previous version 0.2.0 dated 2026-08-21

Title: Undo and Redo for 'Shiny' Applications
Description: Adds a user-facing undo and redo history to 'Shiny' applications. Application state, comprising registered inputs and optionally server-side reactive values, is captured as the user interacts with the application. Users may then step backwards and forwards through that history with the keyboard, with buttons, or by scrubbing a visual history rail. Rapid successive changes, such as dragging a slider, are coalesced into a single history entry, and related changes may be grouped explicitly into semantic steps.
Author: Tanmay Chanda [aut, cre, cph]
Maintainer: Tanmay Chanda <tanmaychanda96@gmail.com>

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Package ncar updated to version 0.7.2 with previous version 0.7.1 dated 2026-08-27

Title: Noncompartmental Analysis for Pharmacokinetic Report
Description: Conduct a noncompartmental analysis with industrial strength. Some features are 1) CDISC SDTM terms 2) Automatic or manual slope selection 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method 5) Steady-state analysis over the dosing interval (AUCTAU, CAVG, CL and Vz from AUCTAU) 6) Produce pdf, rtf, text report files. 7) Produce Installation and Operational Qualification (IQ/OQ) reports in pdf. After installation, qualify the package in your own environment: run pdfIQ() for Installation Qualification and pdfOQ() for Operational Qualification. Run writeMD5() once after installation so the IQ file-integrity check passes. To approve a report, sign it digitally in Adobe Acrobat Reader (generate with sigField=TRUE, or run addSigField(), to add click-to-sign fields), instead of printing and scanning; or use signPDF()/verifyPDF() for a scriptable signature. * Reference: Gabrielsson J, Weiner D. Pharmac [...truncated...]
Author: Kyun-Seop Bae [aut, cre], Michael E. Schaffer [ctb, cph]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package dsge updated to version 1.2.0 with previous version 1.0.0 dated 2026-04-02

Title: Dynamic Stochastic General Equilibrium Models
Description: Specify, solve, and estimate dynamic stochastic general equilibrium (DSGE) models by maximum likelihood and Bayesian methods. Supports both linear models via an equation-based formula interface and nonlinear models via string-based equations with perturbation up to third order (Schmitt-Grohe and Uribe, 2004 <doi:10.1016/S0165-1889(03)00043-5>). Solution uses the method of undetermined coefficients (Klein, 2000 <doi:10.1016/S0165-1889(99)00045-7>). Likelihood evaluated via the Kalman filter or a bootstrap particle filter (Gordon et al., 1993). Bayesian estimation uses adaptive Random-Walk Metropolis-Hastings or Particle Marginal Metropolis-Hastings (Andrieu et al., 2010 <doi:10.1111/j.1467-9868.2009.00736.x>) with parallel chain support. Additional tools include Bayes factor model comparison with Kass-Raftery evidence scales, Ramsey optimal policy via linear-quadratic regulator, nonlinear perfect foresight via stacked-time Newton (Juillard et al., 1998), Kalman smoothi [...truncated...]
Author: Mustapha Wasseja Mohammed [aut, cre]
Maintainer: Mustapha Wasseja Mohammed <muswaseja@gmail.com>

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Package doudpackage updated to version 2.2.0 with previous version 2.1.0 dated 2023-06-29

Title: Create Elegant Table 1 in HTML/'LaTeX' for Bio-Statistics
Description: Creates the "table one" of bio-medical papers. Fill it with your data and the name of the variable which you'll make the group(s) out of and it will make univariate and bivariate analysis, and parse the result into an HTML or 'LaTeX' table ready to paste into a paper.
Author: Edouard Baudouin [aut, cre]
Maintainer: Edouard Baudouin <edouardpierre.baudouin@aphp.fr>

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Package watcher updated to version 0.2.1 with previous version 0.2.0 dated 2026-06-22

Title: Watch the File System for Changes
Description: R binding for 'libfswatch', a file system monitoring library. Watch files, or directories recursively, for changes in the background. Log activity, or call an R function, upon every change event.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Enrico M. Crisostomo [cph] , Alan Dipert [cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package Thresher updated to version 1.1.6 with previous version 1.1.5 dated 2025-04-07

Title: Threshing and Reaping for Principal Components
Description: Defines the classes used to identify outliers (threshing) and compute the number of significant principal components and number of clusters (reaping) in a joint application of PCA and hierarchical clustering. See Wang et al., 2018, <doi:10.1186/s12859-017-1998-9>.
Author: Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package SillyPutty updated to version 0.4.3 with previous version 0.4.2 dated 2025-04-08

Title: Silly Putty Clustering
Description: Implements a simple, novel clustering algorithm based on optimizing the silhouette width. See <doi:10.1101/2023.11.07.566055> for details.
Author: Dwayne Tally [aut], Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package RCytoGPS updated to version 1.2.14 with previous version 1.2.13 dated 2026-07-06

Title: Using Cytogenetics Data in R
Description: Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then import the results into R for further analysis and graphing.
Author: Kevin R. Coombes [aut, cre], Dwayne Tally [aut]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package PCDimension updated to version 1.1.15 with previous version 1.1.14 dated 2025-04-07

Title: Finding the Number of Significant Principal Components
Description: Implements methods to automate the Auer-Gervini graphical Bayesian approach for determining the number of significant principal components. Automation uses clustering, change points, or simple statistical models to distinguish "long" from "short" steps in a graph showing the posterior number of components as a function of a prior parameter. See <doi:10.1101/237883>.
Author: Min Wang [aut], Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package Mercator updated to version 1.1.8 with previous version 1.1.7 dated 2025-05-27

Title: Clustering and Visualizing Distance Matrices
Description: Defines the classes used to explore, cluster and visualize distance matrices, especially those arising from binary data. See Abrams and colleagues, 2021, <doi:10.1093/bioinformatics/btab037>.
Author: Kevin R. Coombes [aut, cre], Caitlin E. Coombes [aut]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package eatTools updated to version 0.7.10 with previous version 0.7.9 dated 2025-09-12

Title: Miscellaneous Functions for the Analysis of Educational Assessments
Description: Miscellaneous functions for data cleaning and data analysis of educational assessments. Includes functions for descriptive analyses, character vector manipulations and weighted statistics. Mainly a lightweight dependency for the packages 'eatRep', 'eatGADS', 'eatPrep' and 'eatModel' (which will be subsequently submitted to 'CRAN'). The function for defining (weighted) contrasts in weighted effect coding refers to te Grotenhuis et al. (2017) <doi:10.1007/s00038-016-0901-1>. Functions for weighted statistics refer to Wolter (2007) <doi:10.1007/978-0-387-35099-8>.
Author: Sebastian Weirich [aut, cre], Martin Hecht [aut], Karoline Sachse [aut], Benjamin Becker [aut], Nicole Mahler [aut], Edna Grewers [ctb]
Maintainer: Sebastian Weirich <sebastian.weirich@iqb.hu-berlin.de>

Diff between eatTools versions 0.7.9 dated 2025-09-12 and 0.7.10 dated 2026-09-25

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Package TailRank updated to version 3.2.6 with previous version 3.2.4 dated 2025-04-07

Title: The Tail-Rank Statistic
Description: Implements the tail-rank statistic for selecting biomarkers from a microarray data set, an efficient nonparametric test focused on the distributional tails. See <https://gitlab.com/krcoombes/coombeslab/-/blob/master/doc/papers/tolstoy-new.pdf>.
Author: Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

Diff between TailRank versions 3.2.4 dated 2025-04-07 and 3.2.6 dated 2026-09-25

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Package pdfsigner readmission to version 0.3.0 with previous version 0.2.5 dated 2026-07-02

Title: Digitally Sign and Verify PDF Documents
Description: Digitally sign PDF documents with a 'PKCS#12' keystore and verify their signatures. Signing produces a detached 'PKCS#7' / 'CMS' signature ('adbe.pkcs7.detached') over the document and is applied as an incremental update, so existing signatures remain valid. The cryptography and PDF manipulation are performed by a bundled, pure-'Rust' backend (the 'pdf_signer' crate); no Java runtime, 'OpenSSL', or external command-line tools are required. Visible signature appearances with custom text are supported.
Author: Andre Leite [aut, cre], Hugo Vasconcelos [aut], Diogo Bezerra [aut], Authors of the vendored Rust crates [ctb, cph]
Maintainer: Andre Leite <leite@castlab.org>

This is a re-admission after prior archival of version 0.2.5 dated 2026-07-02

Diff between pdfsigner versions 0.2.5 dated 2026-07-02 and 0.3.0 dated 2026-09-25

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Package ggEDA updated to version 0.3.0 with previous version 0.2.0 dated 2025-09-09

Title: Turnkey Visualisations for Exploratory Data Analysis
Description: Provides interactive visualisations for exploratory data analysis of high-dimensional datasets. Includes parallel coordinate plots for exploring large datasets with mostly quantitative features, but also stacked one-dimensional visualisations that more effectively show missingness and complex categorical relationships in smaller datasets.
Author: Sam El-Kamand [aut, cre] , Children's Cancer Institute Australia [cph]
Maintainer: Sam El-Kamand <sam.elkamand@gmail.com>

Diff between ggEDA versions 0.2.0 dated 2025-09-09 and 0.3.0 dated 2026-09-25

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Package adbi readmission to version 0.1.3 with previous version 0.1.2 dated 2025-09-03

Title: 'DBI' Compliant Database Access Using 'ADBC'
Description: In order to make Arrow Database Connectivity ('ADBC' <https://arrow.apache.org/adbc/>) accessible from R, an interface compliant with the 'DBI' package is provided, using driver back-ends that are implemented in the 'adbcdrivermanager' framework. This enables interacting with database systems using the Arrow data format, thereby offering an efficient alternative to 'ODBC' for analytical applications.
Author: Nicolas Bennett [aut, cre, cph], Voltron Data [fnd]
Maintainer: Nicolas Bennett <nicolas@cynkra.com>

This is a re-admission after prior archival of version 0.1.2 dated 2025-09-03

Diff between adbi versions 0.1.2 dated 2025-09-03 and 0.1.3 dated 2026-09-25

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Package AbSolution updated to version 1.0.2 with previous version 1.0.1 dated 2026-04-27

Title: Interactive Feature-Based Analysis of AIRR-Seq Data
Description: An interactive framework for the exploration and analysis of adaptive immune receptor repertoire sequencing (AIRR-seq) data. It enables large-scale computation and integrated analysis of sequence-derived features, including physicochemical properties, amino acid descriptor sets, sequence motifs, compositional patterns, and somatic hypermutation metrics. The application supports multiscale analysis across sequences, clones, and repertoires, with interactive visualizations and statistical feature selection. 'AbSolution' also facilitates reproducible research by enabling structured export of data, code, parameters, and computational environments. See <https://github.com/EDS-Bioinformatics-Laboratory/AbSolution> for more details.
Author: Rodrigo Garcia-Valiente [cre, aut] , Charisios Triantafyllou [aut] , Antoine van Kampen [aut, ths]
Maintainer: Rodrigo Garcia-Valiente <r.garciavaliente@amsterdamumc.nl>

Diff between AbSolution versions 1.0.1 dated 2026-04-27 and 1.0.2 dated 2026-09-25

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Package RtsEva updated to version 1.2.0 with previous version 1.1.0 dated 2025-06-10

Title: Performs the Transformed-Stationary Extreme Values Analysis
Description: Adaptation of the 'Matlab' 'tsEVA' toolbox developed by Lorenzo Mentaschi available here: <https://github.com/menta78/tsEva>. It contains an implementation of the Transformed-Stationary (TS) methodology for non-stationary extreme value Analysis (EVA) as described in Mentaschi et al. (2016) <doi:10.5194/hess-20-3527-2016>. In synthesis this approach consists in: (i) transforming a non-stationary time series into a stationary one to which the stationary extreme value theory can be applied; and (ii) reverse-transforming the result into a non-stationary extreme value distribution. 'RtsEva' offers several options for trend estimation (mean, extremes, seasonal) and contains multiple plotting functions displaying different aspects of the non-stationarity of extremes.
Author: Alois Tilloy [aut, cre]
Maintainer: Alois Tilloy <alois.tilloy@ec.europa.eu>

Diff between RtsEva versions 1.1.0 dated 2025-06-10 and 1.2.0 dated 2026-09-25

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Package primarycensored updated to version 1.6.0 with previous version 1.5.2 dated 2026-09-10

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

Diff between primarycensored versions 1.5.2 dated 2026-09-10 and 1.6.0 dated 2026-09-25

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Package modEvA updated to version 3.47 with previous version 3.46 dated 2026-08-28

Title: Model Evaluation and Analysis
Description: Analyses species distribution models and evaluates their performance. It includes functions for variation partitioning, extracting variable importance, computing several metrics of model discrimination and calibration performance, optimizing prediction thresholds based on a number of criteria, performing multivariate environmental similarity surface (MESS) analysis, and displaying various analytical plots. Initially described in Barbosa et al. (2013) <doi:10.1111/ddi.12100>.
Author: A. Marcia Barbosa [aut, cre], Jennifer A. Brown [aut], Alberto Jimenez-Valverde [aut], Raimundo Real [aut], Oswald van Ginkel [ctb], Jurica Levatic [ctb], Victoria Formoso-Freire [ctb], Andres Baselga [ctb], Carola Gomez-Rodriguez [ctb], Carlos C. Ra [...truncated...]
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

Diff between modEvA versions 3.46 dated 2026-08-28 and 3.47 dated 2026-09-25

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Package magic updated to version 1.6-1-1 with previous version 1.6-1 dated 2022-11-15

Title: Create and Investigate Magic Squares
Description: A collection of functions for the manipulation and analysis of arbitrarily dimensioned arrays. The original motivation for the package was the development of efficient, vectorized algorithms for the creation and investigation of magic squares and high-dimensional magic hypercubes.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package fuzzySim updated to version 4.60 with previous version 4.59 dated 2026-08-28

Title: Fuzzy Similarity in Species Distributions
Description: Functions to compute fuzzy versions of species occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis, and prevalence-independent favourability obtained from probability of presence), as well as pair-wise fuzzy similarity (based on fuzzy logic versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model consensus and comparison (overlap and fuzzy similarity, fuzzy loss, fuzzy gain), and for data preparation, such as obtaining unique abbreviations of species names, defining the background region, cleaning and gridding (thinning) point occurrence data onto raster maps, selecting among (pseudo)absences to address survey bias, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, selecting relevant variables for models, assessing the false discovery rate, or analysing and dealing with multicollinearity. Initially desc [...truncated...]
Author: A. Marcia Barbosa [aut], Alba Estrada [ctb], Paul Melloy [ctb], Jose Carlos Guerrero [fnd], A. Marcia Barbosa [cre]
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

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Package airGRteaching updated to version 0.3.8 with previous version 0.3.7 dated 2026-07-09

Title: Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included)
Description: Add-on package to the 'airGR' package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed data and to interpret the results of calibration and simulation of the GR ('Génie rural') models 3) a 'Shiny' graphical interface that allows for displaying the impact of model parameters on hydrographs and models internal variables.
Author: Olivier Delaigue [aut, cre] , Laurent Coron [aut] , Pierre Brigode [aut] , Guillaume Thirel [aut]
Maintainer: Olivier Delaigue <airGR@inrae.fr>

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Package fahb updated to version 1.0.1 with previous version 1.0.0 dated 2026-04-29

Title: Design and Analysis of Pilot Trials Assessing Recruitment Feasibility
Description: Find optimal decisions rules for guiding progression decisions following a pilot trial, assuming a hierarchical recruitment model. Estimate the time until the main trial recruits to target, given the recruitment data observed in the pilot.
Author: Duncan Wilson [aut, cre, cph]
Maintainer: Duncan Wilson <d.t.wilson@leeds.ac.uk>

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Package zoo updated to version 1.9-1 with previous version 1.9-0 dated 2026-07-31

Title: S3 Infrastructure for Regular and Irregular Time Series (Z's Ordered Observations)
Description: An S3 class with methods for working with regular and irregular time series. The class stores data as numeric vectors/matrices (or factors) along with a time index of arbitrary class (including numeric, Date, POSIXct, chron, yearmon, yearqtr, etc.). Functions and methods are consistent with the ts class and base R and also extend standard generics. Tools include: Data import/export, coercion, visualization (with base R, 'ggplot2', 'lattice', 'tinyplot'), alignment and merging, aggregation, lags and subsets, rolling analytics, and time-based interpolation/filling. The design is introduced in Zeileis and Grothendieck (2005) <doi:10.18637/jss.v014.i06>.
Author: Achim Zeileis [aut, cre] , Gabor Grothendieck [aut], Jeffrey A. Ryan [aut], Joshua M. Ulrich [ctb], Felix Andrews [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package rmake updated to version 1.2.3 with previous version 1.2.2 dated 2026-01-08

Title: Makefile Generator for R Analytical Projects
Description: Creates and maintains a build process for complex analytic tasks in R. Package allows to easily generate Makefile for the (GNU) 'make' tool, which drives the build process by (in parallel) executing build commands in order to update results accordingly to given dependencies on changed data or updated source files.
Author: Michal Burda [aut, cre]
Maintainer: Michal Burda <michal.burda@osu.cz>

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Package lexsync updated to version 0.1.1 with previous version 0.1.0 dated 2026-09-22

Title: Lexical Optimisation and Hardware-Timed Experiment Generation
Description: A cross-platform toolkit that unifies many-language lexical-corpus access, parallel multidimensional stimulus matching, deterministic pseudoword generation, counterbalancing and the automated generation of experiments from a declarative trial-event model, for 'PsychoPy', 'OpenSesame' and the browser ('jsPsych'). The laboratory targets bind electroencephalography onset triggers to the stimulus flip. It is the R member of a dual-language pair; a structurally identical 'Python' package is also provided. Several paradigms (factorial word contrasts, lexical decision, priming, self-paced reading and cued categorisation) are supported, and each design is accompanied by a machine- and human-readable materials datasheet for reproducibility.
Author: Pablo Bernabeu [aut, cre]
Maintainer: Pablo Bernabeu <pcbernabeu@gmail.com>

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Package visdat updated to version 0.6.1 with previous version 0.6.0 dated 2023-02-01

Title: Preliminary Visualisation of Data
Description: Create preliminary exploratory data visualisations of an entire dataset to identify problems or unexpected features using 'ggplot2'.
Author: Nicholas Tierney [aut, cre] , Sean Hughes [rev] , Mara Averick [rev] , Stuart Lee [ctb], Earo Wang [ctb], Nic Crane [ctb], Christophe Regouby [ctb], Jordi Rosell [ctb]
Maintainer: Nicholas Tierney <nicholas.tierney@gmail.com>

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 visdat-0.6.0/visdat/R/utils-pipe.R                                                                               |only
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 visdat-0.6.1/visdat/NAMESPACE                                                                                    |    3 
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 visdat-0.6.1/visdat/R/data-vis-dat.R                                                                             |   20 
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 visdat-0.6.1/visdat/R/vis-binary.R                                                                               |   38 -
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 visdat-0.6.1/visdat/R/vis-cor.R                                                                                  |   67 +-
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 visdat-0.6.1/visdat/R/vis-expect.R                                                                               |   96 +--
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 visdat-0.6.1/visdat/R/vis-histogram.R                                                                            |only
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 visdat-0.6.1/visdat/R/vis-value.R                                                                                |   19 
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 visdat-0.6.1/visdat/README.md                                                                                    |   22 
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 visdat-0.6.1/visdat/inst/scratch                                                                                 |only
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 visdat-0.6.1/visdat/man/data-vis-dat.Rd                                                                          |    4 
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 visdat-0.6.1/visdat/man/typical_data_large.Rd                                                                    |    9 
 visdat-0.6.1/visdat/man/vis_cor.Rd                                                                               |    2 
 visdat-0.6.1/visdat/man/vis_dat.Rd                                                                               |    8 
 visdat-0.6.1/visdat/man/vis_expect.Rd                                                                            |   18 
 visdat-0.6.1/visdat/man/vis_histogram.Rd                                                                         |only
 visdat-0.6.1/visdat/man/vis_miss.Rd                                                                              |    8 
 visdat-0.6.1/visdat/man/vis_value.Rd                                                                             |    4 
 visdat-0.6.1/visdat/man/visdat.Rd                                                                                |   10 
 visdat-0.6.1/visdat/tests/spelling.R                                                                             |   10 
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Package stCEG updated to version 1.1.0 with previous version 0.1.0 dated 2025-07-07

Title: Fully Customizable Chain Event Graphs over Spatial Areas
Description: Enables the creation of Chain Event Graphs over spatial areas, with an optional 'Shiny' user interface. Allows users to fully customise both the structure and underlying model of the Chain Event Graph, offering a high degree of flexibility for tailored analyses. For more details on Chain Event Graphs, see Freeman, G., & Smith, J. Q. (2011) <doi:10.1016/j.jmva.2011.03.008>, Collazo R. A., Görgen C. and Smith J. Q. (2018, ISBN:9781498729604) and Barclay, L. M., Hutton, J. L., & Smith, J. Q. (2014) <doi:10.1214/13-BA843>.
Author: Hollie Calley [aut, cre] , Daniel Williamson [ctb]
Maintainer: Hollie Calley <hc629@exeter.ac.uk>

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Package causalweight updated to version 1.1.6 with previous version 1.1.5 dated 2026-06-08

Title: Estimation Methods for Causal Inference Based on Inverse Probability Weighting and Doubly Robust Estimation
Description: Various estimators of causal effects based on inverse probability weighting, doubly robust estimation, and double machine learning. Specifically, the package includes methods for estimating average treatment effects, direct and indirect effects in causal mediation analysis, and dynamic treatment effects based on different identification strategies (unconfoundedness, instruments, difference-in-differences, regression discontinuity designs).
Author: Hugo Bodory [aut, cre] , Martin Huber [aut] , Jannis Kueck [aut]
Maintainer: Hugo Bodory <hugo.bodory@unisg.ch>

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Package brar updated to version 0.1.1 with previous version 0.1 dated 2026-03-06

Title: Null Hypothesis Bayesian Response-Adaptive Randomization
Description: Implements Bayesian response-adaptive randomization methods based on Bayesian hypothesis testing for multi-arm settings (Pawel and Held, 2025, <doi:10.48550/arXiv.2510.01734>).
Author: Samuel Pawel [aut, cre]
Maintainer: Samuel Pawel <samuel.pawel@uzh.ch>

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Package vasicekreg updated to version 1.3.0 with previous version 1.1.0 dated 2026-08-20

Title: Vasicek-Type Distributions and Regression Models
Description: Provides density, cumulative distribution, quantile, and random generation functions for Vasicek-type distributions with standard normal, standard logistic, and standard hyperbolic-secant kernels. The normal-kernel distribution is parameterized by either its mean or a fixed quantile, whereas the logistic- and hyperbolic-secant-kernel distributions use fixed-quantile parameterizations. Zero-augmented, one-augmented, and zero-and-one-augmented extensions of the normal-kernel mean parameterization are also provided for responses that include boundary values. The corresponding 'NVASIM', 'NVASIQ', 'LVASIQ', 'HVASIQ', 'ZANVASIM', 'OANVASIM', and 'ZOANVASIM' families are available for fitting Generalized Additive Models for Location, Scale and Shape (GAMLSS), as introduced by Rigby and Stasinopoulos (2005, <doi:10.1111/j.1467-9876.2005.00510.x>). Two-part random-intercept regression models for zero-augmented longitudinal responses are included with either a beta or a normal-kernel Vasic [...truncated...]
Author: Josmar Mazucheli [aut, cre], Bruna Alves [ctb]
Maintainer: Josmar Mazucheli <jmazucheli@gmail.com>

Diff between vasicekreg versions 1.1.0 dated 2026-08-20 and 1.3.0 dated 2026-09-25

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Package UnalR readmission to version 1.0.2 with previous version 1.0.1 dated 2025-09-18

Title: Wrapper for Interactive and Static Data Visualization
Description: Provides a fast and consistent general-purpose wrapper for arranging microdata and generating interactive and static visualizations. Offers a library of graphical functions with a highly configurable and simple syntax. Features include HTML tables, time series, bar and pie charts, and maps supported by various JavaScript libraries. Allows seamless transitions between interactive and static graphics without changing the core syntax. Originally developed to standardize the publication of official statistics at the National University of Colombia <https://unal.edu.co>. Spanish: Proporciona una herramienta de propósito general rápida y consistente para organizar microdatos y generar visualizaciones interactivas y estáticas. Ofrece una biblioteca de funciones gráficas con una sintaxis simple y altamente configurable. Permite transiciones fluidas entre gráficos interactivos y estáticos sin cambiar la sintaxis base. Desarrollado originalmente para estandarizar la publicación de estadíst [...truncated...]
Author: Jeison Alarcon [aut, cre, ctr] , Alberto Rodriguez [aut, rev], Direccion Nacional de Planeacion y Estadistica Universidad Nacional de Colombia [cph, fnd]
Maintainer: Jeison Alarcon <jmalarconbe@unal.edu.co>

This is a re-admission after prior archival of version 1.0.1 dated 2025-09-18

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Package tabpfn updated to version 0.4.0 with previous version 0.3.0 dated 2026-09-01

Title: Prior-Data Fitted Network Foundational Model for Tabular Data
Description: Provides a consistent API for classification and regression models based on the 'TabPFN' model of Hollmann et al. (2025), "Accurate predictions on small data with a tabular foundation model," Nature, 637(8045) <doi:10.1038/s41586-024-08328-6>. The calculations are served via 'Python' to train and predict the model.
Author: Max Kuhn [aut, cre] , Edgar Ruiz [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

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Package swfscMisc updated to version 1.7.6 with previous version 1.7 dated 2025-06-04

Title: Miscellaneous Functions for Southwest Fisheries Science Center
Description: Collection of conversion, analytical, geodesic, mapping, and plotting functions. Used to support packages and code written by researchers at the Southwest Fisheries Science Center of the National Oceanic and Atmospheric Administration.
Author: Eric Archer [aut, cre]
Maintainer: Eric Archer <eric.ivan.archer@gmail.com>

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Package rlibkriging updated to version 1.2-3 with previous version 1.2-2 dated 2026-09-23

Title: Kriging Models using the 'libKriging' Library
Description: Interface to 'libKriging' 'C++' library <https://github.com/libKriging> that should provide most standard Kriging / Gaussian process regression features (like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages). 'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, 'lbfgsb_cpp' is a 'C++' port around by Pascal Have of 'lbfgsb' library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.
Author: Yann Richet [aut, cre] , Pascal Have [aut], Yves Deville [aut], Conrad Sanderson [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Jorge Nocedal [ctb], Jose Luis Morales [ctb], Mike Smith [ctb]
Maintainer: Yann Richet <yann.richet@asnr.fr>

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Package Rcmdr updated to version 2.15.0 with previous version 2.14.1 dated 2026-09-16

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

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Package ModalForecast updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-12

Title: Parametric Modal ARIMA and Seasonal ARIMA Models using the SKD Family
Description: Implements parametric modal Autoregressive Integrated Moving Average (ARIMA) and seasonal ARIMA (SARIMA) models utilizing the Skewed Distribution (SKD) family, in which the conditional mode, rather than the conditional mean, follows the (seasonal) ARIMA recursion. Current distributions supported are the Skew-Normal, Skewed Student-t, and Skewed Laplace. The parameters are estimated by maximum likelihood using analytical gradients. Includes residual diagnostics, simulation envelopes, automatic order selection, joint and marginal modal forecasts, exact and parametric bootstrap prediction intervals, and classical asymptotic inference via the Fisher Information matrix. Methods are described in Galarza, C.E., Lachos, V.H., Cabral, C.R.B., & Castro, L.M. (2017) <doi:10.1002/sta4.140>.
Author: Christian Galarza [aut, cre], Sergio Luis Mercado Londono [ctb], Victor Hugo Lachos [ctb]
Maintainer: Christian Galarza <chedgala@espol.edu.ec>

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Package ggstratify updated to version 0.2.0 with previous version 0.0.1 dated 2026-09-02

Title: Fast Stratified Descriptive Figures with a Point-and-Click GUI
Description: A point-and-click 'shiny' interface for the descriptive analysis that comes before any model is chosen. Pass a data frame, pick the variable to describe, and add the layers you want to see it within: a second variable becomes the panels of a 'ggplot2' facet_wrap(), and further variables become separate figures, one file each, taken either one variable at a time or crossed. Every stratum is reported with the number of observations behind it, on the figure and on each of its panels; strata that contain none are listed rather than dropped, and rows with a missing value in a layer variable are excluded and counted. A continuous variable can be categorized into quantile groups, equal-width bins or user-supplied cut points, a variable of any type can be turned into whether it is missing or observed, so that the rows a layer would exclude become a stratum of their own, and a date or date-time variable can be read at a chosen resolution, either as a calendar period or as a position in the year [...truncated...]
Author: Akihiro Shiroshita [aut, cre, cph], Yuki Kataoka [aut]
Maintainer: Akihiro Shiroshita <akihirokun8@gmail.com>

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Package NBBDesigns updated to version 1.2.0 with previous version 1.1.0 dated 2023-12-16

Title: Neighbour Balanced Block Designs (NBBDesigns)
Description: Neighbour-balanced designs ensure that no treatment is disadvantaged unfairly by its surroundings. The treatment allocation in these designs is such that every treatment appears equally often as a neighbour with every other treatment. Neighbour Balanced Designs are employed when there is a possibility of neighbour effects from treatments used in adjacent experimental units. In the literature, a vast number of such designs have been developed. This package generates some efficient neighbour balanced block designs which are balanced and partially variance balanced for estimating the contrast pertaining to direct and neighbour effects, as well as provides a function for analysing the data obtained from such trials (Azais, J.M., Bailey, R.A. and Monod, H. (1993). "A catalogue of efficient neighbour designs with border plots". Biometrics, 49, 1252-1261 ; Tomar, J. S., Jaggi, Seema and Varghese, Cini (2005)<DOI: 10.1080/0266476042000305177>. "On totally balanced block designs for compe [...truncated...]
Author: Eldho Varghese [aut, ctb], Ashutosh Dalal [aut, cre], Seema Jaggi [aut, ctb], Arpan Bhowmik [aut], Cini Varghese [aut]
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>

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Package DEmixR updated to version 0.3.0 with previous version 0.2.0 dated 2026-08-02

Title: Fit Two-Component Normal and Lognormal Mixture Models
Description: Fits, bootstraps, and evaluates two-component normal and lognormal mixture models. Parameters are searched within data-derived bounds by differential-evolution global optimization, as implemented in the 'DEoptim' package (Mullen, Ardia, Gil, Windover and Cline, 2011) <doi:10.18637/jss.v040.i06>, followed by a local 'L-BFGS-B' refinement step via optim(). Also provides preliminary diagnostic plots, diagnostic plots for fitted mixtures, automatic normal-versus-lognormal model selection by the Bayesian or Akaike information criterion, and parametric or nonparametric bootstrap confidence intervals for the fitted parameters.
Author: Farrokh Habibzadeh [aut, cre]
Maintainer: Farrokh Habibzadeh <farrokh.habibzadeh@gmail.com>

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Package spatstat.linnet updated to version 3.5-4 with previous version 3.5-3 dated 2026-07-30

Title: Linear Networks Functionality of the 'spatstat' Family
Description: Defines types of spatial data on a linear network and provides functionality for geometrical operations, data analysis and modelling of data on a linear network, in the 'spatstat' family of packages. Contains definitions and support for linear networks, including creation of networks, geometrical measurements, topological connectivity, geometrical operations such as inserting and deleting vertices, intersecting a network with another object, and interactive editing of networks. Data types defined on a network include point patterns, pixel images, functions, and tessellations. Exploratory methods include kernel estimation of intensity on a network, K-functions and pair correlation functions on a network, simulation envelopes, nearest neighbour distance and empty space distance, relative risk estimation with cross-validated bandwidth selection. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Mont [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Greg McSwiggan [aut, cph], Tilman Davies [ctb, cph], Mehdi Moradi [ctb, cph], Suman Rakshit [ctb, cph], Ottmar Cronie [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package caviarpd updated to version 0.3.25 with previous version 0.3.22 dated 2026-03-07

Title: Cluster Analysis via Random Partition Distributions
Description: Cluster analysis is performed using pairwise distance information and a random partition distribution. The method is implemented for two random partition distributions. It draws samples and then obtains and plots clustering estimates. An implementation of a selection algorithm is provided for the mass parameter of the partition distribution. Since pairwise distances are the principal input to this procedure, it is most comparable to the hierarchical and k-medoids clustering methods. The method is Dahl, Andros, Carter (2022+) <doi:10.1002/sam.11602>.
Author: David B. Dahl [aut, cre] , R. Jacob Andros [aut] , J. Brandon Carter [aut] , Authors of the dependency Rust crates [ctb]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

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