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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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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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>

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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>

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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>

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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>

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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

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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>

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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>

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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

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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

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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

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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>

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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

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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>

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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>

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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>

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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>

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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>

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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

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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>

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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>

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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>

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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>

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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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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>

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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>

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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>

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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>

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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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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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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>

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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>

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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>

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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>

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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>

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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>

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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>

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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>

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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>

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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>

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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>

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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>

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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>

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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>

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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

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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>

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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 'ERDDAPā„¢' Servers
Description: General purpose R client for 'ERDDAPā„¢' servers. Includes functions to search for 'datasets', get summary information on 'datasets', and fetch 'datasets', in either 'csv' or 'netCDF' format. 'ERDDAPā„¢' 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>

Diff between impectR versions 2.5.6 dated 2026-06-25 and 2.6.0 dated 2026-10-14

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More information about impectR at CRAN
Permanent link

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, MĆølgaard, and Schytt (2025) <DOI:10.1037/met0000769>.
Author: Mikkel H. Vembye [aut, cre] , Thomas Olsen [aut]
Maintainer: Mikkel H. Vembye <mikkel.vembye@gmail.com>

Diff between AIscreenR versions 0.4.0 dated 2026-07-01 and 0.5.0 dated 2026-10-14

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More information about AIscreenR at CRAN
Permanent link

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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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>

Diff between checktor versions 0.1.0 dated 2026-07-02 and 0.2.0 dated 2026-10-13

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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>

Diff between CoRpower versions 1.0.4 dated 2020-11-17 and 1.0.5 dated 2026-10-13

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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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More information about seminr at CRAN
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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>

Diff between pssmooth versions 1.0.3 dated 2020-11-18 and 1.0.4 dated 2026-10-13

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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>

Diff between streamMOA versions 1.3-1 dated 2024-04-20 and 1.4.0 dated 2026-10-13

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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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Permanent link

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>

Diff between margEVT versions 0.3.0 dated 2026-09-23 and 0.4.0 dated 2026-10-13

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Permanent link

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>

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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>

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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>

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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-17.3/fields/R/flame.R                              |only
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 fields-17.3/fields/R/panelPlotExample.R                   |only
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 fields-17.3/fields/R/setupLegend.R                        |only
 fields-17.3/fields/tests/cmdfile                          |only
 fields-18.0/fields/DESCRIPTION                            |    8 
 fields-18.0/fields/LICENSE.note                           |    2 
 fields-18.0/fields/MD5                                    |  711 +++++++-------
 fields-18.0/fields/NAMESPACE                              |    5 
 fields-18.0/fields/R/Exponential.R                        |    4 
 fields-18.0/fields/R/ExponentialUpper.R                   |    4 
 fields-18.0/fields/R/Krig.R                               |   34 
 fields-18.0/fields/R/Krig.family.R                        |   52 -
 fields-18.0/fields/R/KrigFindLambda.R                     |   14 
 fields-18.0/fields/R/Matern.R                             |    2 
 fields-18.0/fields/R/Matern.parameters.R                  |    4 
 fields-18.0/fields/R/Paciorek.cov.R                       |    2 
 fields-18.0/fields/R/QSreg.R                              |    6 
 fields-18.0/fields/R/QTps.R                               |    6 
 fields-18.0/fields/R/RadialBasis.R                        |    2 
 fields-18.0/fields/R/RdistEarth.R                         |    2 
 fields-18.0/fields/R/SUBSCRIPTINGSpatialDesign.R          |    2 
 fields-18.0/fields/R/Tps.R                                |    2 
 fields-18.0/fields/R/Tps.cov.R                            |   27 
 fields-18.0/fields/R/US.R                                 |    2 
 fields-18.0/fields/R/add.image.R                          |    4 
 fields-18.0/fields/R/addColorBar.R                        |only
 fields-18.0/fields/R/addColorBarTriangle.R                |    2 
 fields-18.0/fields/R/addLegend.R                          |   36 
 fields-18.0/fields/R/addTitleBox.R                        |only
 fields-18.0/fields/R/approximateCovariance2D.R            |   17 
 fields-18.0/fields/R/arrow.plot.R                         |    3 
 fields-18.0/fields/R/as.image.R                           |    2 
 fields-18.0/fields/R/as.surface.R                         |    2 
 fields-18.0/fields/R/augmentPredictionGrid.R              |   21 
 fields-18.0/fields/R/bisection.search.R                   |    2 
 fields-18.0/fields/R/bplot.family.R                       |   35 
 fields-18.0/fields/R/bubblePlot.R                         |   95 +
 fields-18.0/fields/R/cat.matrix.R                         |    2 
 fields-18.0/fields/R/cat.to.list.R                        |    2 
 fields-18.0/fields/R/ceiling2.R                           |    2 
 fields-18.0/fields/R/circulantEmbedding.R                 |    4 
 fields-18.0/fields/R/circulantEmbeddingSetup.R            |    2 
 fields-18.0/fields/R/coef.Krig.R                          |    2 
 fields-18.0/fields/R/color.scale.R                        |    4 
 fields-18.0/fields/R/colorBar.R                           |    4 
 fields-18.0/fields/R/colorbar.plot.R                      |    6 
 fields-18.0/fields/R/compactToMat.R                       |    6 
 fields-18.0/fields/R/confidenceIntervalMLE.R              |    2 
 fields-18.0/fields/R/cover.design.R                       |    8 
 fields-18.0/fields/R/cubic.cov.R                          |    4 
 fields-18.0/fields/R/describe.R                           |    2 
 fields-18.0/fields/R/discretize.image.R                   |    2 
 fields-18.0/fields/R/divMap.R                             |   21 
 fields-18.0/fields/R/double.exp.R                         |    2 
 fields-18.0/fields/R/drape.color.R                        |    6 
 fields-18.0/fields/R/drape.plot.R                         |    2 
 fields-18.0/fields/R/dyadic.2check.R                      |    2 
 fields-18.0/fields/R/dyadic.check.R                       |    2 
 fields-18.0/fields/R/ensembleEnvelope.R                   |only
 fields-18.0/fields/R/envelopePlot.R                       |   15 
 fields-18.0/fields/R/evlpoly.R                            |    2 
 fields-18.0/fields/R/evlpoly2.R                           |    2 
 fields-18.0/fields/R/exp.cov.R                            |    4 
 fields-18.0/fields/R/exp.earth.cov.R                      |    4 
 fields-18.0/fields/R/exp.image.cov.R                      |    2 
 fields-18.0/fields/R/exp.simple.cov.R                     |    8 
 fields-18.0/fields/R/fast.1way.R                          |    2 
 fields-18.0/fields/R/fastTps.R                            |    4 
 fields-18.0/fields/R/fields.color.picker.R                |    2 
 fields-18.0/fields/R/fields.convert.grid.R                |    2 
 fields-18.0/fields/R/fields.derivative.poly.R             |    2 
 fields-18.0/fields/R/fields.duplicated.matrix.R           |    2 
 fields-18.0/fields/R/fields.mkpoly.R                      |    4 
 fields-18.0/fields/R/fields.rdist.near.R                  |    2 
 fields-18.0/fields/R/fields.style.R                       |    2 
 fields-18.0/fields/R/fields.x.to.grid.R                   |    4 
 fields-18.0/fields/R/fillGrid.R                           |   21 
 fields-18.0/fields/R/find.upcross.R                       |    2 
 fields-18.0/fields/R/findGridBox.R                        |    2 
 fields-18.0/fields/R/fitted.Krig.R                        |    2 
 fields-18.0/fields/R/gauss.cov.R                          |    2 
 fields-18.0/fields/R/gcv.sreg.R                           |    8 
 fields-18.0/fields/R/golden.section.search.R              |    4 
 fields-18.0/fields/R/image.family.R                       |    6 
 fields-18.0/fields/R/image.plot.R                         |    4 
 fields-18.0/fields/R/image.smooth.R                       |   12 
 fields-18.0/fields/R/imagePlot.R                          |   15 
 fields-18.0/fields/R/in.poly.R                            |    2 
 fields-18.0/fields/R/interp.surface.FFT.R                 |   21 
 fields-18.0/fields/R/interp.surface.R                     |    6 
 fields-18.0/fields/R/interp.surface.grid.R                |    2 
 fields-18.0/fields/R/larry.colors.R                       |    2 
 fields-18.0/fields/R/mKrig.R                              |   40 
 fields-18.0/fields/R/mKrigCheckXY.R                       |   12 
 fields-18.0/fields/R/mKrigFastPredict.R                   |   12 
 fields-18.0/fields/R/mKrigFastPredictSetup.R              |    2 
 fields-18.0/fields/R/mKrigMLEGrid.R                       |    2 
 fields-18.0/fields/R/mKrigMLEJoint.R                      |   10 
 fields-18.0/fields/R/mKrigMisc.R                          |    8 
 fields-18.0/fields/R/make.surface.grid.R                  |    2 
 fields-18.0/fields/R/makeMultiIndex.R                     |    4 
 fields-18.0/fields/R/matern.image.cov.R                   |    4 
 fields-18.0/fields/R/minimax.crit.R                       |    2 
 fields-18.0/fields/R/multWendlandGrid.R                   |    2 
 fields-18.0/fields/R/naturalSplineBasis.R                 |only
 fields-18.0/fields/R/offGridWeights.R                     |    4 
 fields-18.0/fields/R/offGridWeights1D.R                   |   10 
 fields-18.0/fields/R/offGridWeights2D.R                   |   12 
 fields-18.0/fields/R/panelPlotCommonAxesNew.R             |only
 fields-18.0/fields/R/parse.grid.list.R                    |    2 
 fields-18.0/fields/R/plot.Krig.R                          |    2 
 fields-18.0/fields/R/plot.spatialDesign.R                 |    2 
 fields-18.0/fields/R/plot.spatialProcess.R                |    4 
 fields-18.0/fields/R/plot.sreg.R                          |    2 
 fields-18.0/fields/R/plot.surface.R                       |    4 
 fields-18.0/fields/R/plot.vgram.matrix.R                  |    2 
 fields-18.0/fields/R/plotMatrix.R                         |   21 
 fields-18.0/fields/R/poly.image.R                         |    4 
 fields-18.0/fields/R/predict.Krig.R                       |    4 
 fields-18.0/fields/R/predict.fastTps.R                    |    4 
 fields-18.0/fields/R/predict.interp.surface.R             |    2 
 fields-18.0/fields/R/predict.mKrig.R                      |    6 
 fields-18.0/fields/R/predict.sreg.R                       |    2 
 fields-18.0/fields/R/predictDerivative.Krig.R             |    8 
 fields-18.0/fields/R/predictSE.Krig.R                     |    4 
 fields-18.0/fields/R/predictSE.R                          |    2 
 fields-18.0/fields/R/predictSE.mKrig.R                    |    4 
 fields-18.0/fields/R/predictSEUsingKrigA.R                |    4 
 fields-18.0/fields/R/predictSurface.Krig.R                |    4 
 fields-18.0/fields/R/predictSurface.family.R              |    2 
 fields-18.0/fields/R/predictSurface.fastTps.R             |    2 
 fields-18.0/fields/R/predictSurface.mKrig.R               |    6 
 fields-18.0/fields/R/predictSurfaceSE.R                   |    6 
 fields-18.0/fields/R/print.Krig.R                         |    2 
 fields-18.0/fields/R/print.mKrig.R                        |    2 
 fields-18.0/fields/R/print.mKrig.summary.R                |    2 
 fields-18.0/fields/R/print.spatial.design.R               |    2 
 fields-18.0/fields/R/print.spatialProcess.R               |    2 
 fields-18.0/fields/R/print.spatialProcessSummary.R        |    2 
 fields-18.0/fields/R/print.sreg.R                         |    2 
 fields-18.0/fields/R/print.summary.Krig.R                 |    2 
 fields-18.0/fields/R/print.summary.sreg.R                 |    2 
 fields-18.0/fields/R/print.summarySpatialDesign.R         |    2 
 fields-18.0/fields/R/printGCVWarnings.R                   |    2 
 fields-18.0/fields/R/profile.R                            |    2 
 fields-18.0/fields/R/profileCI.R                          |    2 
 fields-18.0/fields/R/profileMLE.R                         |    6 
 fields-18.0/fields/R/qr.q2ty.R                            |    2 
 fields-18.0/fields/R/qr.yq2.R                             |    2 
 fields-18.0/fields/R/qsreg.family.R                       |    6 
 fields-18.0/fields/R/quantilePlot.R                       |only
 fields-18.0/fields/R/quickPrint.R                         |    2 
 fields-18.0/fields/R/quilt.plot.R                         |    2 
 fields-18.0/fields/R/rad.cov.R                            |    4 
 fields-18.0/fields/R/rad.image.cov.R                      |    2 
 fields-18.0/fields/R/rad.simple.cov.R                     |    2 
 fields-18.0/fields/R/radbas.constant.R                    |    2 
 fields-18.0/fields/R/rdist.R                              |    2 
 fields-18.0/fields/R/rdist.earth.R                        |    2 
 fields-18.0/fields/R/rdist.earth.vec.R                    |    2 
 fields-18.0/fields/R/rdist.vec.R                          |    2 
 fields-18.0/fields/R/residuals.Krig.R                     |    2 
 fields-18.0/fields/R/ribbon.plot.R                        |    2 
 fields-18.0/fields/R/set.panel.R                          |    2 
 fields-18.0/fields/R/setup.image.smooth.R                 |    4 
 fields-18.0/fields/R/sim.Krig.R                           |    4 
 fields-18.0/fields/R/sim.rf.R                             |    2 
 fields-18.0/fields/R/sim.spatialProcess.R                 |    6 
 fields-18.0/fields/R/simLocal.spatialProcess.R            |    4 
 fields-18.0/fields/R/simSpatialData.R                     |    6 
 fields-18.0/fields/R/smooth.2d.R                          |    2 
 fields-18.0/fields/R/snow.colors.R                        |    2 
 fields-18.0/fields/R/spam_2lz.R                           |    4 
 fields-18.0/fields/R/spatialProcess.R                     |   22 
 fields-18.0/fields/R/spatialProcessSetDefaults.R          |   44 
 fields-18.0/fields/R/splint.R                             |    4 
 fields-18.0/fields/R/sreg.family.R                        |    2 
 fields-18.0/fields/R/stationary.cov.R                     |   10 
 fields-18.0/fields/R/stationary.image.cov.R               |    6 
 fields-18.0/fields/R/stationary.taper.cov.R               |    6 
 fields-18.0/fields/R/stationaryImageCov.R                 |    2 
 fields-18.0/fields/R/stats.R                              |    2 
 fields-18.0/fields/R/stats.bin.R                          |    2 
 fields-18.0/fields/R/summary.Krig.R                       |    2 
 fields-18.0/fields/R/summary.mKrig.R                      |    2 
 fields-18.0/fields/R/summary.ncdf.R                       |    2 
 fields-18.0/fields/R/summary.spatialDesign.R              |    2 
 fields-18.0/fields/R/summary.spatialProcess.R             |    4 
 fields-18.0/fields/R/summary.sreg.R                       |    2 
 fields-18.0/fields/R/summaryGCV.Krig.R                    |    2 
 fields-18.0/fields/R/summaryGCV.sreg.R                    |    2 
 fields-18.0/fields/R/supportsArg.R                        |    2 
 fields-18.0/fields/R/surface.family.R                     |    4 
 fields-18.0/fields/R/test.for.zero.R                      |    2 
 fields-18.0/fields/R/tim.colors.R                         |    4 
 fields-18.0/fields/R/transformx.R                         |    2 
 fields-18.0/fields/R/unrollZGrid.R                        |    2 
 fields-18.0/fields/R/unscale.R                            |    2 
 fields-18.0/fields/R/vgram.family.R                       |    2 
 fields-18.0/fields/R/vgram.matrix.R                       |    6 
 fields-18.0/fields/R/wendland.family.R                    |   32 
 fields-18.0/fields/R/wendland.image.cov.R                 |    6 
 fields-18.0/fields/R/which.max.matrix.R                   |    2 
 fields-18.0/fields/R/world.R                              |    2 
 fields-18.0/fields/R/xline.R                              |    2 
 fields-18.0/fields/R/yline.R                              |    2 
 fields-18.0/fields/data/AudiA4.rda                        |only
 fields-18.0/fields/data/BD.rda                            |only
 fields-18.0/fields/data/ChicagoO3.rda                     |only
 fields-18.0/fields/data/RMprecip.rda                      |only
 fields-18.0/fields/data/datalist                          |   18 
 fields-18.0/fields/data/flame.rda                         |only
 fields-18.0/fields/data/minitri.rda                       |only
 fields-18.0/fields/man/AudiA4.Rd                          |only
 fields-18.0/fields/man/BD.Rd                              |   53 -
 fields-18.0/fields/man/CO.Rd                              |  169 ---
 fields-18.0/fields/man/CO2.Rd                             |   40 
 fields-18.0/fields/man/CovarianceUpper.Rd                 |   20 
 fields-18.0/fields/man/Exponential.Rd                     |   66 -
 fields-18.0/fields/man/FORTRAN.internal.Rd                |   20 
 fields-18.0/fields/man/Krig.Amatrix.Rd                    |   86 -
 fields-18.0/fields/man/Krig.Rd                            |  464 ++++-----
 fields-18.0/fields/man/Krig.engine.default.Rd             |  144 +-
 fields-18.0/fields/man/Krig.null.function.Rd              |   18 
 fields-18.0/fields/man/Krig.replicates.Rd                 |   38 
 fields-18.0/fields/man/KrigFindLambda.Rd                  |   81 -
 fields-18.0/fields/man/LENSExample.Rd                     |   56 -
 fields-18.0/fields/man/NorthAmericanRainfall.Rd           |   44 
 fields-18.0/fields/man/QTps.Rd                            |  144 +-
 fields-18.0/fields/man/RCMexample.Rd                      |   34 
 fields-18.0/fields/man/RMprecip.Rd                        |   54 -
 fields-18.0/fields/man/Tps.Rd                             |  123 +-
 fields-18.0/fields/man/US.Rd                              |    8 
 fields-18.0/fields/man/US.dat.Rd                          |    8 
 fields-18.0/fields/man/Wendland.Rd                        |   34 
 fields-18.0/fields/man/WorldBank.Rd                       |   34 
 fields-18.0/fields/man/add.image.Rd                       |   10 
 fields-18.0/fields/man/arrow.plot.Rd                      |   34 
 fields-18.0/fields/man/as.image.Rd                        |   37 
 fields-18.0/fields/man/as.surface.Rd                      |   30 
 fields-18.0/fields/man/bplot.Rd                           |   34 
 fields-18.0/fields/man/bplot.xy.Rd                        |   18 
 fields-18.0/fields/man/colorbar.plot.Rd                   |   38 
 fields-18.0/fields/man/compactToMat.Rd                    |    6 
 fields-18.0/fields/man/cover.design.Rd                    |   75 -
 fields-18.0/fields/man/drape.plot.Rd                      |   60 -
 fields-18.0/fields/man/envelopePlot.Rd                    |    8 
 fields-18.0/fields/man/exp.cov.Rd                         |  197 ++-
 fields-18.0/fields/man/fields-internal.Rd                 |    7 
 fields-18.0/fields/man/fields-stuff.Rd                    |   48 
 fields-18.0/fields/man/fields.Rd                          |  130 +-
 fields-18.0/fields/man/fields.grid.Rd                     |   13 
 fields-18.0/fields/man/fields.hints.Rd                    |    8 
 fields-18.0/fields/man/fields.tests.Rd                    |   30 
 fields-18.0/fields/man/flame.Rd                           |   26 
 fields-18.0/fields/man/glacier.Rd                         |   28 
 fields-18.0/fields/man/grid.list.Rd                       |   82 -
 fields-18.0/fields/man/image.cov.Rd                       |   70 -
 fields-18.0/fields/man/image.plot.Rd                      |  347 ++----
 fields-18.0/fields/man/image.smooth.Rd                    |   29 
 fields-18.0/fields/man/image2lz.Rd                        |   50 
 fields-18.0/fields/man/imagePlot.Rd                       |  482 ++++-----
 fields-18.0/fields/man/interp.surface.Rd                  |   44 
 fields-18.0/fields/man/lennon.Rd                          |    4 
 fields-18.0/fields/man/mKrig.Rd                           |  176 +--
 fields-18.0/fields/man/mKrigMLE.Rd                        |  104 +-
 fields-18.0/fields/man/minitri.Rd                         |   29 
 fields-18.0/fields/man/naturalSplineBasis.Rd              |only
 fields-18.0/fields/man/offGridWeights.Rd                  |  104 +-
 fields-18.0/fields/man/ozone.Rd                           |   21 
 fields-18.0/fields/man/ozone2.Rd                          |   32 
 fields-18.0/fields/man/panelPlot.Rd                       |  572 +++++++++--
 fields-18.0/fields/man/plot.Krig.Rd                       |   25 
 fields-18.0/fields/man/plot.surface.Rd                    |   33 
 fields-18.0/fields/man/poly.image.Rd                      |   42 
 fields-18.0/fields/man/predict.Krig.Rd                    |   53 -
 fields-18.0/fields/man/predictSE.Krig.Rd                  |   48 
 fields-18.0/fields/man/predictSurface.Rd                  |  108 +-
 fields-18.0/fields/man/print.Krig.Rd                      |    7 
 fields-18.0/fields/man/pushpin.Rd                         |   12 
 fields-18.0/fields/man/qsreg.Rd                           |   55 -
 fields-18.0/fields/man/quantilePlot.Rd                    |only
 fields-18.0/fields/man/quilt.plot.Rd                      |  167 +--
 fields-18.0/fields/man/rat.diet.Rd                        |   25 
 fields-18.0/fields/man/rdist.Rd                           |   38 
 fields-18.0/fields/man/rdist.earth.Rd                     |   32 
 fields-18.0/fields/man/registeredC.Rd                     |   28 
 fields-18.0/fields/man/ribbon.plot.Rd                     |   10 
 fields-18.0/fields/man/set.panel.Rd                       |   16 
 fields-18.0/fields/man/sim.Krig.Rd                        |  179 ++-
 fields-18.0/fields/man/sim.rf.Rd                          |   82 -
 fields-18.0/fields/man/smooth.2d.Rd                       |   76 -
 fields-18.0/fields/man/spam2lz.Rd                         |   29 
 fields-18.0/fields/man/spatialProcess.Rd                  |  212 ++--
 fields-18.0/fields/man/splint.Rd                          |   35 
 fields-18.0/fields/man/sreg.Rd                            |   88 -
 fields-18.0/fields/man/stats.Rd                           |    8 
 fields-18.0/fields/man/stats.bin.Rd                       |   14 
 fields-18.0/fields/man/summary.Krig.Rd                    |    9 
 fields-18.0/fields/man/summary.ncdf.Rd                    |   14 
 fields-18.0/fields/man/supportsArg.Rd                     |   10 
 fields-18.0/fields/man/surface.Krig.Rd                    |   26 
 fields-18.0/fields/man/tim.colors.Rd                      |   71 -
 fields-18.0/fields/man/transformx.Rd                      |   19 
 fields-18.0/fields/man/vgram.Rd                           |   38 
 fields-18.0/fields/man/vgram.matrix.Rd                    |   26 
 fields-18.0/fields/man/world.Rd                           |    8 
 fields-18.0/fields/man/xline.Rd                           |    8 
 fields-18.0/fields/man/yline.Rd                           |   11 
 fields-18.0/fields/tests/Krig.Z.test.R                    |   24 
 fields-18.0/fields/tests/Krig.Z.test.Rout.save            |    8 
 fields-18.0/fields/tests/Krig.se.W.R                      |    8 
 fields-18.0/fields/tests/Krig.se.W.Rout.save              |    8 
 fields-18.0/fields/tests/Krig.se.grid.test.R              |   14 
 fields-18.0/fields/tests/Krig.se.grid.test.Rout.save      |    8 
 fields-18.0/fields/tests/Krig.se.test.R                   |   32 
 fields-18.0/fields/tests/Krig.se.test.Rout.save           |   40 
 fields-18.0/fields/tests/Krig.test.R                      |   17 
 fields-18.0/fields/tests/Krig.test.Rout.save              |    8 
 fields-18.0/fields/tests/Krig.test.W.R                    |   14 
 fields-18.0/fields/tests/Krig.test.W.Rout.save            |    8 
 fields-18.0/fields/tests/KrigGCVREML.test.R               |    6 
 fields-18.0/fields/tests/KrigGCVREML.test.Rout.save       |    8 
 fields-18.0/fields/tests/Likelihood.test.R                |    2 
 fields-18.0/fields/tests/Likelihood.test.Rout.save        |    8 
 fields-18.0/fields/tests/SEFixedParameters.R              |    3 
 fields-18.0/fields/tests/SEFixedParameters.Rout.save      |    8 
 fields-18.0/fields/tests/Tps.test.R                       |    4 
 fields-18.0/fields/tests/Tps.test.Rout.save               |    8 
 fields-18.0/fields/tests/Wend.test.R                      |   20 
 fields-18.0/fields/tests/Wend.test.Rout.save              |    8 
 fields-18.0/fields/tests/cov.test.R                       |   12 
 fields-18.0/fields/tests/cov.test.Rout.save               |    8 
 fields-18.0/fields/tests/cov.test2.R                      |   12 
 fields-18.0/fields/tests/cov.test2.Rout.save              |    8 
 fields-18.0/fields/tests/derivative.test.R                |   54 -
 fields-18.0/fields/tests/derivative.test.Rout.save        |    8 
 fields-18.0/fields/tests/diag.multiply.test.Rout.save     |    8 
 fields-18.0/fields/tests/evlpoly.test.R                   |   10 
 fields-18.0/fields/tests/evlpoly.test.Rout.save           |    8 
 fields-18.0/fields/tests/fastTpsPredict.test.Rout.save    |    8 
 fields-18.0/fields/tests/mKrig.Z.Rout.save                |    8 
 fields-18.0/fields/tests/mKrig.parameters.test.R          |    8 
 fields-18.0/fields/tests/mKrig.parameters.test.Rout.save  |   16 
 fields-18.0/fields/tests/mKrig.se.test.R                  |   14 
 fields-18.0/fields/tests/mKrig.se.test.Rout.save          |    8 
 fields-18.0/fields/tests/mKrig.test.R                     |   76 -
 fields-18.0/fields/tests/mKrig.test.Rout.save             |    8 
 fields-18.0/fields/tests/mKrigMLETest.Rout.save           |    8 
 fields-18.0/fields/tests/mKrigREMLTest.Rout.save          |    8 
 fields-18.0/fields/tests/misc.test.Rout.save              |    8 
 fields-18.0/fields/tests/offGridWeights.test.Rout.save    |    8 
 fields-18.0/fields/tests/offGridWeightsNEW.test.Rout.save |    8 
 fields-18.0/fields/tests/spam.test.R                      |   34 
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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>

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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>

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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>

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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>

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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>

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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>

Diff between junco versions 0.1.6 dated 2026-05-10 and 0.1.7 dated 2026-10-13

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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>

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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>

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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>

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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>

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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>

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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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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>

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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>

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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>

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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>

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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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Package reportr updated to version 2.0.0 with previous version 1.3.1 dated 2025-03-29

Title: A General Message and Error Reporting System
Description: Provides a system for reporting messages, which provides certain useful features over the standard R system, such as the incorporation of output consolidation, message filtering, assertions, expression substitution, automatic generation of stack traces for debugging, and conditional reporting based on the current "output level". Messages are signalled as classed R conditions, so that calling code can decide how serious a situation is, rather than the function which detects it having to be told in advance.
Author: Jon Clayden [aut, cre]
Maintainer: Jon Clayden <code@clayden.org>

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Package pgt updated to version 0.7.1 with previous version 0.7.0 dated 2026-09-22

Title: Data Envelopment Analysis for Pollution-Generating Technologies
Description: Nonparametric efficiency analysis for pollution-generating technologies under the materials-balance principle. Implements the weak-G-disposability technology of Hampf and Rodseth (2015) <doi:10.1016/j.eneco.2015.04.001>, scored by the minimal-emission programme of Rodseth (2025) <doi:10.1007/s11123-025-00768-0> with its directional representation and five-component decomposition, the by-production intersection technology of Murty, Russell and Levkoff (2012) <doi:10.1016/j.jeem.2012.02.005>, the materials-balance cost model of Coelli, Lauwers and Van Huylenbroeck (2007) <doi:10.1007/s11123-007-0052-8> and a weak-disposability reference model, with a pre-estimation audit of every materials-balance account, metafrontier decompositions, bad-output shadow prices, marginal abatement cost curves, a cross-axiom comparison harness, a global Malmquist-Luenberger productivity index and subsampling sensitivity intervals. Estimators are solved with 'lpSolveAPI'.
Author: Erik Enstad [aut, cre]
Maintainer: Erik Enstad <erik.enstad@nhh.no>

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Package fasttreeid updated to version 1.1.0 with previous version 1.0.2 dated 2026-08-31

Title: Identifies Parameters in a Tree-Shaped SCM
Description: Implements the algorithm by Briefs and BlƤser (2025) <https://openreview.net/forum?id=8PHOPPH35D>, based on the approach of Gupta and BlƤser (2024) <doi:10.1609/aaai.v38i18.30023>. It determines, for a structural causal model (SCM) whose directed edges form a tree, whether each parameter is unidentifiable, 1-identifiable or 2-identifiable (other cases cannot occur), using a randomized algorithm with provable running time O(n^3 log^2 n).
Author: Yasmine Briefs [aut, cre], Markus Blaeser [aut]
Maintainer: Yasmine Briefs <ybriefs@mpi-inf.mpg.de>

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Package wINEQ updated to version 1.2.3 with previous version 1.2.2 dated 2026-04-23

Title: Inequality Measures for Weighted Data
Description: Computes inequality measures of a given variable taking into account weights. Suitable for ratio, interval and ordered scale. Includes measures developed by Gini, Theil, Leti, Palma ratio, 20:20 ratio, Allison and Foster, Jenkins, Cowell and Flechaire, Abul Naga and Yalcin, Apouey, Blair and Lacy. Bootstrap provides distribution of inequality measures enabling significance tests.
Author: Sebastian Wojcik [aut, cre] , Agnieszka Giemza [aut], Jaroslaw Napora [aut]
Maintainer: Sebastian Wojcik <S.Wojcik@stat.gov.pl>

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Package tsfknn updated to version 0.7.1 with previous version 0.6.0 dated 2023-12-20

Title: Time Series Forecasting Using Nearest Neighbors
Description: Allows forecasting time series using nearest neighbors regression Francisco Martinez, Maria P. Frias, Maria D. Perez-Godoy and Antonio J. Rivera (2019) <doi:10.1007/s10462-017-9593-z>. When the forecasting horizon is higher than 1, two multi-step ahead forecasting strategies can be used. The model built is univariate and autoregressive, that is, it is only based on the observations of the time series. The nearest neighbors used in a prediction can be consulted and plotted.
Author: Francisco Martinez [aut, cre]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

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Package TrendSLR readmission to version 2.0.0 with previous version 1.0 dated 2019-08-07

Title: Estimating Trend, Velocity, and Acceleration from Sea Level Records
Description: Provides tools for analysing annual average ocean water level time series, estimating mean sea level trends, velocities, and accelerations using Singular Spectrum Analysis (SSA). The detailed methodology for resolving mean sea level with improved temporal resolution follows Watson (2018) "Improved Techniques to Estimate Mean Sea Level, Velocity and Acceleration from Long Ocean Water Level Time Series to Augment Sea Level (and Climate Change) Research" <https://unsworks.unsw.edu.au/entities/publication/5e835c87-aa0a-4457-807e-29d354e91d45>. Additional methodological developments and applications are described in Watson (2020) "Status of Mean Sea Level Rise around the USA" <doi:10.3390/geohazards2020005> and Watson and Lim (2020) "An Update on the Status of Mean Sea Level Rise around the Korean Peninsula" <doi:10.3390/atmos11111153>. Includes multiple gap-filling methods for incomplete records, diagnostic tools for inspecting SSA components, and plotting functions for g [...truncated...]
Author: Phil Watson [aut, cre]
Maintainer: Phil Watson <philwatson.slr@gmail.com>

This is a re-admission after prior archival of version 1.0 dated 2019-08-07

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Package ROCsurvcomp updated to version 0.1.3 with previous version 0.1.2 dated 2026-05-11

Title: ROC-Based Methods for Comparing Survival Distributions with Right, Left, and Doubly Censored Data
Description: Implements nonparametric and semiparametric methods for comparing two survival distributions under non-proportional hazards (non-PH) with right, left, or doubly censored data. The methods are based on the Receiver Operating Characteristic (ROC) curve length and its kernel-based estimate (Bantis et al. (2021) <doi:10.1002/sim.8869>) and the overlap coefficient (OVL) and its kernel-based estimate (Schmid and Schmidt (2006) <doi:10.1016/j.csda.2005.01.014>), as well as a new joint inference approach involving both the kernel-based ROC length and the kernel-based OVL. These methods do not require prior knowledge of the underlying non-PH pattern. The methods also accommodate the "last is censored" phenomenon for right-censored data by using flexible parametric approaches only for the portion of the tail of the distribution that corresponds to time values beyond the last observed event (see also Bantis et al. (2017) <doi:10.1002/sim.7394>). The analogous "first is censored" [...truncated...]
Author: Mohammod Mahmudur Rahman [aut, cre], Leonidas Bantis [aut]
Maintainer: Mohammod Mahmudur Rahman <mahmudur.asif13@gmail.com>

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Package ritalic updated to version 0.13.1 with previous version 0.13.0 dated 2026-10-12

Title: Interface to the ITALIC Database of Lichen Biodiversity
Description: A programmatic interface to the Web Service methods provided by ITALIC (<https://italic.units.it>). ITALIC is a database of lichen data in Italy and bordering European countries. 'ritalic' includes functions for retrieving information about lichen scientific names, geographic distribution, ecological data, morpho-functional traits and identification keys. More information about the data is available at <https://italic.units.it/?procedure=base&t=59&c=60>. The API documentation is available at <https://italic.units.it/?procedure=api>.
Author: Matteo Conti [aut, cre] , Luana Francesconi [aut], Alice Musina [aut], Luca Di Nuzzo [aut], Gabriele Gheza [aut], Chiara Pistocchi [aut], Juri Nascimbene [aut], Pier Luigi Nimis [aut], Stefano Martellos [aut]
Maintainer: Matteo Conti <matt.ciao@gmail.com>

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Package Rdrw updated to version 1.0.6 with previous version 1.0.5 dated 2026-10-13

Title: Univariate and Multivariate Damped Random Walk Processes
Description: Provides tools for fitting and simulating univariate and multivariate damped random walk processes, also known as Ornstein-Uhlenbeck processes or first-order continuous-time autoregressive models, CAR(1) or CARMA(1, 0). The package supports irregularly spaced observation times, heteroscedastic measurement errors, missing measurements across multivariate time series, and polynomial mean trends in normalized time. The current implementation models up to ten time series jointly. Kalman filtering is used to evaluate the likelihood efficiently. Polynomial mean coefficients are handled conditionally within the Kalman recursion, reducing the dimension of numerical maximum likelihood optimization and permitting exact Gaussian conditional updates during Bayesian posterior sampling. Maximum likelihood estimation is computationally efficient and suitable for large-scale data analysis, while Bayesian posterior sampling is better suited to small-scale analyses requiring more careful uncertainty qua [...truncated...]
Author: Zhirui Hu [aut], Hyungsuk Tak [aut, cre]
Maintainer: Hyungsuk Tak <hyungsuk.tak@gmail.com>

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Package rbridge updated to version 1.0.4 with previous version 1.0.3 dated 2026-10-11

Title: Restricted Bridge Estimation
Description: Implements bridge regression with linear coefficient restrictions using the local quadratic approximation described by Yuzbasi, Arashi and Akdeniz (2021) <doi:10.1007/s00500-021-05763-9>. Provides coefficient paths, cross-validation, prediction and coefficient extraction for restricted and unrestricted linear models.
Author: Bahadir Yuzbasi [aut, cre], Mohammad Arashi [aut], Fikri Akdeniz [aut], Jerome Friedman [ctb] , Trevor Hastie [ctb] , Robert Tibshirani [ctb]
Maintainer: Bahadir Yuzbasi <b.yzb@hotmail.com>

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Package mlumr updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-20

Title: Multilevel Unanchored Meta-Regression for Indirect Treatment Comparisons
Description: Bayesian multilevel unanchored meta-regression (ML-UMR) for indirect treatment comparisons using individual patient data (IPD) and aggregate data (AgD). Implements shared prognostic factor assumption (SPFA) and relaxed SPFA models for binary, continuous, count, and time-to-event (survival) outcomes via 'Stan', including parametric and flexible M-spline survival baselines. Also provides a one-arm simulated treatment comparison (STC) via comparator-population G-computation and naive unadjusted benchmarks. ML-UMR is an adaptation of the ML-NMR methodology (Phillippo et al. 2020, <doi:10.1111/rssa.12579>) implemented in the 'multinma' package (GPL-3) to the unanchored two-trial case. The public API uses familiar names for data setup, integration and effect summaries, but ML-NMR and ML-UMR specifications and fitted objects are not interchangeable because their evidence structures and models differ.
Author: Ahmad Sofi-Mahmudi [aut, cre] , Conor Chandler [aut]
Maintainer: Ahmad Sofi-Mahmudi <a.sofimahmudi@gmail.com>

Diff between mlumr versions 0.1.0 dated 2026-05-20 and 0.2.0 dated 2026-10-13

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Package HierPortfolios updated to version 1.1.0 with previous version 1.0.2 dated 2025-09-12

Title: Hierarchical Risk Clustering Portfolio Allocation Strategies
Description: Machine learning hierarchical risk clustering portfolio allocation strategies. The implemented methods are: Hierarchical risk parity (De Prado, 2016) <DOI: 10.3905/jpm.2016.42.4.059>. Hierarchical clustering-based asset allocation (Raffinot, 2017) <DOI: 10.3905/jpm.2018.44.2.089>. Hierarchical equal risk contribution portfolio (Raffinot, 2018) <DOI: 10.2139/ssrn.3237540>. A Constrained Hierarchical Risk Parity Algorithm with Cluster-based Capital Allocation (Pfitzingera and Katzke, 2019) <https://www.ekon.sun.ac.za/wpapers/2019/wp142019/wp142019.pdf>. Hierarchical Risk Budgeting (Koumou, 2024) <DOI: 10.3905/jfds.2024.1.156>.
Author: Carlos Trucios [aut, cre] , Moon Jun Kwon [aut], Sao Paulo Research Foundation , grants 2022/09122-0, 2025/06131-7 and 2025/08502-2 [fnd], Programa de Incentivo a Novos Docentes da UNICAMP , grant 2525/23 [fnd]
Maintainer: Carlos Trucios <ctrucios@unicamp.br>

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Package BAwiR updated to version 1.5.6 with previous version 1.5.5 dated 2026-09-25

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 CopernicusMarine updated to version 0.5.0 with previous version 0.4.9 dated 2026-08-28

Title: Search Download and Handle Data from Copernicus Marine Service Information
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

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Package umx updated to version 4.80.1 with previous version 4.80.0 dated 2026-10-11

Title: Structural Equation Modeling and Twin Modeling in R
Description: Quickly create, run, and report structural equation and twin models. See '?umx' for help, and umx_open_CRAN_page("umx") for NEWS. Citations are: * Timothy C. Bates, Michael C. Neale, Hermine H. Maes, (2019). umx: A library for Structural Equation and Twin Modelling in R. Twin Research and Human Genetics, 22, 27-41. <doi:10.1017/thg.2019.2>. * Luis F.S. Castro-de-Araujo, Nathan A. Gillespie, Michael C. Neale, and Timothy Charles Bates (2026). umx version 4.5: Extending Twin and Path-Based SEM in R with CLPM, MR-DoC, Definition Variables, Onyx Integration, and Censored Distributions. Twin Research and Human Genetics, 1-6. <doi:10.1017/thg.2026.10056>.
Author: Timothy C. Bates [aut, cre] , Luis De Araujo [ctb], Nathan Gillespie [wit], Hermine Maes [ctb], Michael C. Neale [ctb], Joshua N. Pritikin [ctb], Brenton Wiernik [ctb], Michael Zakharin [wit]
Maintainer: Timothy C. Bates <timothy.c.bates@gmail.com>

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More information about umx at CRAN
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Package postlink readmission to version 0.1.2 with previous version 0.1.1 dated 2026-09-04

Title: Post-Linkage Data Analysis
Description: Provides a suite of statistical tools for post-linkage data analysis (PLDA), designed to account for record linkage errors in downstream modeling. The package implements a familiar, formula-based regression interface that adjusts for linkage uncertainty, accommodating workflows where direct access to unlinked primary files is restricted. It consolidates diverse adjustment methodologies, all of which support generalized linear models (linear, logistic, Poisson, and Gamma). These methodologies include weighting approaches (Chambers (2009) <https://hdl.handle.net/10779/uow.27788247>; Chambers et al. (2023) <doi:10.1002/wics.1596>), mixture modeling (Slawski et al. (2025) <doi:10.1093/jrsssa/qnae083>), and Bayesian mixture modeling (Gutman et al. (2016) <doi:10.1002/sim.6586>). For time-to-event data, both the weighting (Vo et al. (2024) <doi:10.1002/sim.9960>) and mixture modeling approaches accommodate Cox proportional hazards models, while the Bayesian appr [...truncated...]
Author: Priyanjali Bukke [aut, cre], Gauri Kamat [aut], Jiahao Cui [aut], Roee Gutman [aut], Martin Slawski [aut], Zhenbang Wang [ctb], Brady T. West [ctb], Emanuel Ben-David [ctb], Guoqing Diao [ctb]
Maintainer: Priyanjali Bukke <postlink.group@gmail.com>

This is a re-admission after prior archival of version 0.1.1 dated 2026-09-04

Diff between postlink versions 0.1.1 dated 2026-09-04 and 0.1.2 dated 2026-10-13

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More information about postlink at CRAN
Permanent link

Package oneway updated to version 0.0.3 with previous version 0.0.2 dated 2026-09-15

Title: One-Way Statistical Analyses
Description: Performs one-way tests of assumptions (normality and homoscedasticity), analysis of variance, robust and nonparametric alternatives, multiple comparison procedures, effect size estimators, confidence intervals, and descriptive summaries. Functions are designed with a consistent interface to support reproducible and user-friendly statistical workflows. For more details see Howell (2010, ISBN:978-0-495-59784-1), Zar (2014, ISBN:978-0-13-100846-5), Hollander et al. (2014, ISBN:978-0-470-38737-5), Montgomery (2017, ISBN:978-1-119-11347-8), Lakens (2013) <doi:10.3389/fpsyg.2013.00863>, and Piepho (2004) <doi:10.1198/1061860043515>.
Author: Joon-Keat Lai [aut, cre, cph]
Maintainer: Joon-Keat Lai <p10911004@gmail.com>

Diff between oneway versions 0.0.2 dated 2026-09-15 and 0.0.3 dated 2026-10-13

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Package basefun updated to version 1.2-7 with previous version 1.2-6 dated 2026-03-06

Title: Infrastructure for Computing with Basis Functions
Description: Some very simple infrastructure for basis functions.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package Rdrw updated to version 1.0.5 with previous version 1.0.4 dated 2026-08-20

Title: Univariate and Multivariate Damped Random Walk Processes
Description: Provides tools for fitting and simulating univariate and multivariate damped random walk processes, also known as Ornstein-Uhlenbeck processes or first-order continuous-time autoregressive models, CAR(1) or CARMA(1, 0). The package supports irregularly spaced observation times, heteroscedastic measurement errors, missing measurements across multivariate time series, and polynomial mean trends in normalized time. The current implementation models up to ten time series jointly. Kalman filtering is used to evaluate the likelihood efficiently. Polynomial mean coefficients are handled conditionally within the Kalman recursion, reducing the dimension of numerical maximum likelihood optimization and permitting exact Gaussian conditional updates during Bayesian posterior sampling. Maximum likelihood estimation is computationally efficient and suitable for large-scale data analysis, while Bayesian posterior sampling is better suited to small-scale analyses requiring more careful uncertainty qua [...truncated...]
Author: Zhirui Hu [aut], Hyungsuk Tak [aut, cre]
Maintainer: Hyungsuk Tak <hyungsuk.tak@gmail.com>

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Package pcaL1 updated to version 1.5.10 with previous version 1.5.9 dated 2025-05-03

Title: L1-Norm PCA Methods
Description: Implementations of several methods for principal component analysis using the L1 norm. The package depends on COIN-OR Clp version >= 1.17.4. The methods implemented are PCA-L1 (Kwak 2008) <DOI:10.1109/TPAMI.2008.114>, L1-PCA (Ke and Kanade 2003, 2005) <DOI:10.1109/CVPR.2005.309>, L1-PCA* (Brooks, Dula, and Boone 2013) <DOI:10.1016/j.csda.2012.11.007>, L1-PCAhp (Visentin, Prestwich and Armagan 2016) <DOI:10.1007/978-3-319-46227-1_37>, wPCA (Park and Klabjan 2016) <DOI: 10.1109/ICDM.2016.0054>, awPCA (Park and Klabjan 2016) <DOI: 10.1109/ICDM.2016.0054>, PCA-Lp (Kwak 2014) <DOI:10.1109/TCYB.2013.2262936>, and SharpEl1-PCA (Brooks and Dula, submitted).
Author: Sapan Jot [aut], Paul Brooks [aut, cre], Andrea Visentin [aut], Young Woong Park [aut], and Yi-Hui Zhou [aut]
Maintainer: Paul Brooks <jpbrooks@ou.edu>

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Package mark updated to version 0.9.0 with previous version 0.8.3 dated 2025-04-22

Title: Multipurpose Aids for R Kit
Description: Miscellaneous functions and wrappers for development in other packages created, maintained by Jordan Mark Barbone.
Author: Jordan Mark Barbone [aut, cph, cre]
Maintainer: Jordan Mark Barbone <jmbarbone@gmail.com>

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Package FVDDPpkg updated to version 0.1.3 with previous version 0.1.2 dated 2024-07-09

Title: Implement Fleming-Viot-Dependent Dirichlet Processes
Description: A Bayesian Nonparametric model for the study of time-evolving frequencies, which has become renowned in the study of population genetics. The model consists of a Hidden Markov Model (HMM) in which the latent signal is a distribution-valued stochastic process that takes the form of a finite mixture of Dirichlet Processes, indexed by vectors that count how many times each value is observed in the population. The package implements methodologies presented in Ascolani, Lijoi and Ruggiero (2021) <doi:10.1214/20-BA1206> and Ascolani, Lijoi and Ruggiero (2023) <doi:10.3150/22-BEJ1504> that make it possible to study the process at the time of data collection or to predict its evolution in future or in the past. The package itself is described in Ascolani, Damato and Ruggiero (2024) <doi:10.1089/cmb.2024.0600>.
Author: Stefano Damato [aut, cre]
Maintainer: Stefano Damato <stefanodamato128@gmail.com>

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Package configr updated to version 0.3.6 with previous version 0.3.5 dated 2020-07-17

Title: An Implementation of Parsing and Writing Configuration File (JSON/INI/YAML/TOML)
Description: Implements the JSON, INI, YAML and TOML parser for R setting and writing of configuration file. The functionality of this package is similar to that of package 'config'.
Author: Jianfeng Li [aut, cre]
Maintainer: Jianfeng Li <lee_jianfeng@sjtu.edu.cn>

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Mon, 12 Oct 2026

Package mixtime updated to version 0.4.0 with previous version 0.3.0 dated 2026-08-24

Title: Mixed Temporal Vectors and Operations
Description: Flexible time classes for time series analysis and forecasting with mixed temporal granularities. Supports linear and cyclical time representations in discrete and continuous forms, with timezone support, across multiple calendar systems including Gregorian and ISO week date calendars. Time points are stored numerically relative to a chronon; an atomic time granule defined by time units of a calendar. Calendrical arithmetic enables conversion between time granules (e.g. days to months) and calendar systems. Multi-unit arithmetic allows for temporal analysis with other granules of common calendars (e.g. fortnights are 2-week units). Time vectors of different granularities (e.g. monthly and quarterly) can be combined in a single vector, making 'mixtime' ideal for data that changes observation frequency over time or requires temporal reconciliation across scales. The package is extensible, allowing users to define custom calendars that build upon civil and astronomical time systems.
Author: Mitchell O'Hara-Wild [aut, cre] , Cynthia Huang [ctb] , Rob Hyndman [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package epiR updated to version 3.0.0 with previous version 2.0.99 dated 2026-10-01

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] , Evan Sergeant [aut], Cord Heuer [ctb], Ian Kopacka [ctb], Klemens Fuchs [ctb], Telmo Nunes [ctb], Cord Heuer [ctb], Jonathon Marshall [ctb], Javier Sanchez [ctb], Ron Thornton [ctb], Jeno Reiczigel [ctb], Jim Robison-Cox [ [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

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Package RcppCGAL updated to version 6.2.1.1 with previous version 6.2.1 dated 2026-09-05

Title: 'Rcpp' Integration for 'CGAL'
Description: Creates a header only package to link to the 'CGAL' (Computational Geometry Algorithms Library) header files in 'Rcpp'. There are a variety of potential uses for the software such as Hilbert sorting, K-D Tree nearest neighbors, and convex hull algorithms. For more information about how to use the header files, see the 'CGAL' documentation at <https://www.cgal.org>. Currently downloads version 6.2.1 of the 'CGAL' header files.
Author: Eric Dunipace [aut, cre] , Tyler Morgan-Wall [ctb], Michael Chirico [ctb], The CGAL Project [cph]
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>

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Package datacaged updated to version 0.2.3 with previous version 0.2.1 dated 2026-09-09

Title: CAGED Microdata Download and Storage in 'DuckDB'
Description: Tools to download, parse, and store Brazilian CAGED (Cadastro Geral de Empregados e Desempregados) microdata using 'DuckDB'. Supports both legacy CAGED (pre-2020), Novo CAGED (2020+), and adjustment files, enabling efficient local storage and analysis workflows. Data is sourced from the HuggingFace repository <https://huggingface.co/datasets/alexsandroprado/caged>.
Author: Alexsandro Prado [aut, cre]
Maintainer: Alexsandro Prado <alexsandro.prado@ufersa.edu.br>

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Package rpyANTs updated to version 0.0.7 with previous version 0.0.6 dated 2026-01-11

Title: An Alternative Advanced Normalization Tools ('ANTs')
Description: Provides portable access from 'R' to biomedical image processing toolbox 'ANTs' by Avants et al. (2009) <doi:10.54294/uvnhin> via seamless integration with the 'Python' implementation 'ANTsPy'. Allows biomedical images to be processed in 'Python' and analyzed in 'R', and vice versa via shared memory. See 'citation("rpyANTs")' for more reference information.
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package ravetools updated to version 0.4.0 with previous version 0.3.2 dated 2026-09-04

Title: Signal and Image Processing Toolbox for Analyzing Intracranial Electroencephalography Data
Description: Implemented fast and memory-efficient Notch-filter, Welch-periodogram, discrete wavelet spectrogram for minutes of high-resolution signals, fast 3D convolution, image registration, 3D mesh manipulation; providing fundamental toolbox for intracranial Electroencephalography (iEEG) pipelines. Documentation and examples about 'RAVE' project are provided at <https://rave.wiki>, and the paper by John F. Magnotti, Zhengjia Wang, Michael S. Beauchamp (2020) <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("ravetools")' for details.
Author: Zhengjia Wang [aut, cre] , John Magnotti [aut], Michael Beauchamp [aut], Trustees of the University of Pennsylvania [cph] , Karim Rahim [cph, ctb] , Thomas Possidente [cph, ctb] , Michael Prerau [cph, ctb] , Marcus Geelnard [ctb, cph] , Stefan Schlag [...truncated...]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package BIGpopA updated to version 2.2.0 with previous version 2.1.0 dated 2026-10-05

Title: Pedigree Validation Genetic Composition of Diploids & Polyploids
Description: Tools for pedigree quality control and genomic breed/line composition estimation in diploid and polyploid breeding populations. 'BIGpopA' provides functions to check and correct common pedigree errors, assign parentage from SNP genotype data using Mendelian error rates, validate parent-offspring trios, and estimate genome-wide breed or line composition using quadratic programming. Pedigree validation and parentage assignment support any ploidy, using a polysomic Mendelian test for even ploidy and a homozygosity-based check for odd ploidy. Genotypes can be supplied as dosage tables, VCF files, or 'PLINK' .ped files. For more details about the included 'breedTools' functions, see Funkhouser et al. (2017) <doi:10.2527/tas2016.0003>.
Author: Josue Chinchilla-Vargas [cre, aut], Alexander Sandercock [aut], University of Florida [cph]
Maintainer: Josue Chinchilla-Vargas <josue.chinchilla@ufl.edu>

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Package trend updated to version 1.1.9 with previous version 1.1.8 dated 2026-09-03

Title: Non-Parametric Trend Tests and Change-Point Detection
Description: The analysis of environmental data often requires the detection of trends and change-points. This package includes tests for trend detection (Cox-Stuart Trend Test, Mann-Kendall Trend Test, (correlated) Hirsch-Slack Test, partial Mann-Kendall Trend Test, multivariate (multisite) Mann-Kendall Trend Test, (Seasonal) Sen's slope, partial Pearson and Spearman correlation trend test), change-point detection (Lanzante's test procedures, Pettitt's test, Buishand Range Test, Buishand U Test, Standard Normal Homogeinity Test), detection of non-randomness (Wallis-Moore Phase Frequency Test, Bartels rank von Neumann's ratio test, Wald-Wolfowitz Test) and the two sample Robust Rank-Order Distributional Test.
Author: Thorsten Pohlert [aut, cre]
Maintainer: Thorsten Pohlert <thorsten.pohlert@gmx.de>

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

Title: Transparent and Assisted Linear Modeling Engine
Description: Unified estimation, diagnostics, and reporting for ordinary least squares (OLS) regression, ANOVA/t-tests, logistic regression, panel data (fixed/random effects with Hausman test), instrumental variables (2SLS with weak instrument diagnostics), and difference-in-differences. Designed for applied researchers in social sciences with integrated "Methodological Customs" that audit assumptions and provide literature references. All methods implemented in pure base R without external dependencies beyond stats and graphics packages.
Author: Manuel Soto-Perez [aut, cre]
Maintainer: Manuel Soto-Perez <msoto@up.edu.mx>

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Package cgvR updated to version 0.1.3 with previous version 0.1.2 dated 2026-05-11

Title: Interactive 3D Visualization of Large Cayley Graphs via Vulkan
Description: Provides interactive 3D visualization for large-scale Cayley graphs. Specifically designed for analyzing state spaces of the 'TopSpin' puzzle. Leverages the 'Datoviz' library and Vulkan-based GPU rendering for smooth real-time exploration of large graphs and complex state transitions. Implements efficient coordinate mapping for high-dimensional permutation groups, allowing users to visualize the connectivity and structural properties of the puzzle's state space. The rendering engine provides high-performance visuals and interactive camera controls, making it suitable for mathematical analysis of group-theoretic puzzles within the R environment.
Author: Yuri Baramykov [aut, cre] , Cyrille Rossant [ctb, cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

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Package visualpred updated to version 0.1.3 with previous version 0.1.2 dated 2025-10-19

Title: Visualization 2D of Binary Classification Models
Description: Visual contour and 2D point and contour plots for binary classification modeling under algorithms such as 'glm', 'rf', 'gbm', 'nnet' and 'svm', presented over two dimensions generated by 'famd' and 'mca' methods. Package 'FactoMineR' for multivariate reduction functions and package 'MBA' for interpolation functions are used. The package can be used to visualize the discriminant power of input variables and algorithmic modeling, explore outliers, compare algorithm behaviour, etc. It has been created initially for teaching purposes, but it has also many practical uses under the 'XAI' paradigm.
Author: Javier Portela [aut, cre]
Maintainer: Javier Portela <javipgm@gmail.com>

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Package spacemodR updated to version 0.3.5 with previous version 0.1.3 dated 2026-02-20

Title: Spatial Environmental Risk Assessment Through Food Webs
Description: A workflow for spatially explicit environmental risk assessment of contaminated sites: habitat, food web, dispersal, exposure and risk. Starting from a raster of soil contamination, the package builds habitat layers for a set of species, organises them in a directed acyclic graph representing a food web, and propagates the flow of elements (e.g., food, energy, contaminants) along its links. It also provides soil interpolation by kriging, dispersal by kernel convolution or by circuit theory (through the optional 'Julia' package 'Omniscape'), land cover retrieval for France ('OCS-GE') and Europe ('EUNIS'), and Bayesian calibration of transfer models with 'Stan'.
Author: Virgile Baudrot [aut, cre, cph], Lea Bariod [ctb], Clementine Fritsch [ctb, cph], Renaud Scheifler [ctb]
Maintainer: Virgile Baudrot <virgile.baudrot@qonfluens.com>

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Package SDCNway readmission to version 1.1.1 with previous version 1.0.1 dated 2020-12-17

Title: Tools to Evaluate Disclosure Risk
Description: Functions and tools for calculating disclosure risk measures. This includes record-level measures primarily using exhaustive tabulation, as well as file-level measures using a loglinear model.
Author: John Riddles [aut, cre], Westat [cph]
Maintainer: John Riddles <JohnRiddles@westat.com>

This is a re-admission after prior archival of version 1.0.1 dated 2020-12-17

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Package risdr updated to version 0.4.0 with previous version 0.3.1 dated 2026-07-28

Title: Regularised and Information-Theoretic Sufficient Dimension Reduction
Description: Implements covariance-stabilised sufficient dimension reduction for continuous responses, with an additional sparse engine for continuous, categorical, and right-censored survival responses and information-theoretic structural dimension selection. Supported methods include sliced inverse regression, sliced average variance estimation, directional regression, and principal Hessian directions. Sample, ridge, Oracle Approximating Shrinkage, Ledoit-Wolf, and Maximum Entropy Covariance (MEC) estimators are provided alongside prediction, resampling, simulation, and diagnostic utilities. The sufficient dimension reduction methods build on Li (1991) <doi:10.1080/01621459.1991.10475035>, Li (1992) <doi:10.1080/01621459.1992.10476258>, and Li and Wang (2007) <doi:10.1198/016214507000000536>. Covariance shrinkage follows Olorede and Yahya (2019) <doi:10.48550/arXiv.1909.13017>, Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4> and Chen et al. (2010) <doi: [...truncated...]
Author: Kabir Olorede [aut, cre]
Maintainer: Kabir Olorede <kabirolorede@gmail.com>

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Package marcxmlr updated to version 0.4.0 with previous version 0.3.1 dated 2026-09-28

Title: Faithful and Scalable MARCXML Parsing
Description: Parses Machine-Readable Cataloging ('MARC 21') XML <https://www.loc.gov/standards/marcxml/> into a canonical tidy long representation while preserving leaders, control fields, data fields, indicators, repeated fields, repeated subfields, and source order. Provides in-memory reading, bounded-memory conversion to 'Parquet', and reconstruction of MARCXML from canonical data. Supports structural diagnostics for in-memory and 'Arrow'-backed representations, optional recovery from malformed MARC records, and local parallel processing.
Author: Lorenzo Isella [aut, cre]
Maintainer: Lorenzo Isella <lorenzo.isella@gmail.com>

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Title: File IO for Intracranial Electroencephalography
Description: Integrated toolbox supporting common file formats used for intracranial Electroencephalography (iEEG) and deep-brain stimulation (DBS) study.
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package Eunomia updated to version 2.2.0 with previous version 2.1.0 dated 2025-09-15

Title: Standard Dataset Manager for Observational Medical Outcomes Partnership Common Data Model Sample Datasets
Description: Facilitates access to sample datasets from the 'EunomiaDatasets' repository (<https://github.com/ohdsi/EunomiaDatasets>).
Author: Anthony Sena [aut, cre], Frank DeFalco [aut], Martijn Schuemie [aut], Natthawut Adulyanukosol [aut], Star Liu [aut], Adam Black [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Anthony Sena <sena@ohdsi.org>

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Package distspec updated to version 0.3.0 with previous version 0.2.0 dated 2026-09-01

Title: Probability Distributions with Certain or Uncertain Parameters
Description: Represents probability distributions with fixed or potentially uncertain parameters, with tools to discretise, convolve, sample from and summarise them.
Author: Sebastian Funk [aut, cre] , James M. Azam [aut] , Sam Abbott [aut]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>

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Package AMDconfigurations updated to version 0.2.1 with previous version 0.1.0 dated 2026-03-17

Title: Geometric Analysis of Configurations in High-Dimensional Spaces
Description: Computes Average Membership Degree (AMD) from soft-membership matrices and constructs AMD curves across candidate configuration counts. The current curve backend uses repeated fuzzy c-means fits while keeping the AMD definition, membership estimation, curve construction, and final assignment as separate operations. Fitted memberships, convergence diagnostics, preprocessing transformations, seeds, row maps, and process-level reproducibility links are retained. The package reports numerical curve features but leaves their scientific interpretation to an explicitly justified analysis. The method was introduced by Mendoza and AraĆŗjo (2022) <doi:10.1111/ecog.06289>.
Author: Manuel Mendoza [aut, cre]
Maintainer: Manuel Mendoza <mmendoza@mncn.csic.es>

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Package adespatial updated to version 0.3-30 with previous version 0.3-29 dated 2026-03-20

Title: Multivariate Multiscale Spatial Analysis
Description: Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM). Several approaches are described in the review Dray et al (2012) <doi:10.1890/11-1183.1>.
Author: Stephane Dray [aut] , David Bauman [ctb], Guillaume Blanchet [ctb], Daniel Borcard [ctb], Sylvie Clappe [ctb], Guillaume Guenard [ctb] , Thibaut Jombart [ctb], Guillaume Larocque [ctb], Pierre Legendre [ctb] , Naima Madi [ctb], Helene H Wagner [ctb], [...truncated...]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package sgt updated to version 2.0-2 with previous version 2.0 dated 2015-09-03

Title: Skewed Generalized T Distribution Tree
Description: Density, distribution function, quantile function and random generation for the skewed generalized t distribution. This package also provides a function that can fit data to the skewed generalized t distribution using maximum likelihood estimation.
Author: Carter Davis [aut, cre]
Maintainer: Carter Davis <cdavis40@chicagobooth.edu>

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Package eplusr updated to version 0.18.0 with previous version 0.17.0 dated 2026-06-20

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

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Package muiTreeView updated to version 0.2.0 with previous version 0.1.1 dated 2026-01-26

Title: 'MUI X Tree View' for 'shiny' Apps and 'Quarto'
Description: Wraps the 'MUI X Tree View' React components <https://mui.com/x/react-tree-view/> for use in 'shiny' applications and 'quarto' documents, letting users navigate hierarchical data with nested levels that can be expanded and collapsed. Bundles the MIT-licensed community edition of the '@mui/x-tree-view' JavaScript library (the commercial 'Pro' tier is not included).
Author: Felix Luginbuhl [aut, cre, cph] , MUI [cph] JavaScript libraries; see LICENSE.note), Meta Platforms, Inc. and affiliates [cph] , React Community [cph] , Luke Edwards [cph] , Reselect contributors [cph]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

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Package MazamaCoreUtils updated to version 0.6.4 with previous version 0.6.3 dated 2026-09-30

Title: Utility Functions for Production R Code
Description: A suite of utility functions providing functionality commonly needed for production level projects such as logging, error handling, cache management and date-time parsing. Functions for date-time parsing and formatting require that time zones be specified explicitly, avoiding a common source of error when working with environmental time series.
Author: Jonathan Callahan [aut, cre], Eli Grosman [ctb], Spencer Pease [ctb], Thomas Bergamaschi [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

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Package ritalic updated to version 0.13.0 with previous version 0.12.0 dated 2026-03-16

Title: Interface to the ITALIC Database of Lichen Biodiversity
Description: A programmatic interface to the Web Service methods provided by ITALIC (<https://italic.units.it>). ITALIC is a database of lichen data in Italy and bordering European countries. 'ritalic' includes functions for retrieving information about lichen scientific names, geographic distribution, ecological data, morpho-functional traits and identification keys. More information about the data is available at <https://italic.units.it/?procedure=base&t=59&c=60>. The API documentation is available at <https://italic.units.it/?procedure=api>.
Author: Matteo Conti [aut, cre] , Luana Francesconi [aut], Alice Musina [aut], Luca Di Nuzzo [aut], Gabriele Gheza [aut], Chiara Pistocchi [aut], Juri Nascimbene [aut], Pier Luigi Nimis [aut], Stefano Martellos [aut]
Maintainer: Matteo Conti <matt.ciao@gmail.com>

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Package MVar.pt updated to version 2.3.1 with previous version 2.3.0 dated 2026-06-22

Title: Analise multivariada (brazilian portuguese)
Description: Analise multivariada, tendo funcoes que executam analise de correspondencia simples (CA) e multipla (MCA), analise de componentes principais (PCA), analise de correlacao canonica (CCA), analise fatorial (FA), escalonamento multidimensional (MDS), analise discriminante linear (LDA) e quadratica (QDA), analise de cluster hierarquico e nao hierarquico, regressao linear simples e multipla, analise de multiplos fatores (MFA) para dados quantitativos, qualitativos, de frequencia (MFACT) e dados mistos, biplot, scatter plot, projection pursuit (PP), grant tour e outras funcoes uteis para a analise multivariada.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

Diff between MVar.pt versions 2.3.0 dated 2026-06-22 and 2.3.1 dated 2026-10-12

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Package MVar updated to version 2.3.1 with previous version 2.3.0 dated 2026-06-21

Title: Multivariate Analysis
Description: Multivariate analysis, having functions that perform simple correspondence analysis (CA) and multiple correspondence analysis (MCA), principal components analysis (PCA), canonical correlation analysis (CCA), factorial analysis (FA), multidimensional scaling (MDS), linear (LDA) and quadratic discriminant analysis (QDA), hierarchical and non-hierarchical cluster analysis, simple and multiple linear regression, multiple factor analysis (MFA) for quantitative, qualitative, frequency (MFACT) and mixed data, biplot, scatter plot, projection pursuit (PP), grant tour method and other useful functions for the multivariate analysis.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package MoNAn updated to version 2.1.1 with previous version 2.0.0 dated 2026-10-11

Title: Mobility Network Analysis
Description: Implements the method to analyse weighted mobility networks or distribution networks as outlined in: Block, P., Stadtfeld, C., & Robins, G. (2022) <doi:10.1016/j.socnet.2021.08.003>. The purpose of the model is to analyse the structure of mobility, incorporating exogenous predictors pertaining to individuals and locations known from classical mobility analyses, as well as modelling emergent mobility patterns akin to structural patterns known from the statistical analysis of social networks. Version 2 runs the simulations in 'C++' (using 'Rcpp') and, besides stochastic approximation (Robbins-Monro), can estimate parameters with Geyer-Thompson MCMC maximum likelihood estimation.
Author: Per Block [cre, aut, cph] , Christoph Stadtfeld [aut] , Nico Keiser [aut] , Marion Hoffman [aut] , Jingying Wang [aut]
Maintainer: Per Block <block@soziologie.uzh.ch>

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Package Kira updated to version 1.0.9 with previous version 1.0.8 dated 2026-04-13

Title: Machine Learning
Description: Machine learning, containing several algorithms for supervised and unsupervised classification, in addition to a function that plots the Receiver Operating Characteristic (ROC) and Precision-Recall (PRC) curve graphs, and also a function that returns several metrics used for model evaluation, the latter can be used in ranking results from other packs.
Author: Paulo Cesar Ossani [aut, cre]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package healthiar updated to version 0.2.7 with previous version 0.2.6 dated 2026-09-11

Title: Quantifying and Monetizing Health Impacts Attributable to Exposure
Description: This R package has been developed with a focus on air pollution and noise but can be applied to other exposures. The initial development has been funded by the European Union project BEST-COST. Disclaimer: It is work in progress and the developers are not liable for any calculation errors or inaccuracies resulting from the use of this package. Selection of relevant references (in chronological order): WHO (2003) <https://www.who.int/publications/i/item/9241546204>, Murray et al. (2003) <doi:10.1186/1478-7954-1-1>, Miller & Hurley (2003) <doi:10.1136/jech.57.3.200>, Steenland & Armstrong (2006) <doi:10.1097/01.ede.0000229155.05644.43>, WHO (2011) <https://iris.who.int/items/723ab97c-5c33-4e3b-8df1-744aa5bc1c27>, GBD 2019 Risk Factors Collaborators (2020) <doi:10.1016/S0140-6736(20)30752-2>.
Author: Alberto Castro [cre, aut] , Axel Luyten [aut] , Arno Pauwels [ctb] , Liliana Vazquez Fernandez [ctb] , Gianni Ardielli [ctb] , Iracy Pimenta [ctb] , Susanne Breitner [ctb] , Carl Baravelli [ctb] , Vanessa Gorasso [ctb] , Maria Lepnurm [ctb] , Andreia [...truncated...]
Maintainer: Alberto Castro <alberto.castrofernandez@swisstph.ch>

Diff between healthiar versions 0.2.6 dated 2026-09-11 and 0.2.7 dated 2026-10-12

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Package ctreeMI updated to version 1.2.0 with previous version 1.1.0 dated 2026-09-18

Title: Conditional Inference Trees with Stacked Multiple Imputation
Description: Implements the stacked-imputation workflow for conditional inference trees ('ctree') described in Sherlock et al. (2026) <doi:10.1080/00273171.2026.2661244>. When data contain missing values, multiply imputed datasets (e.g., from 'mice') are stacked vertically and a single 'ctree' is fit on the combined data. To correct for the artificially inflated sample size introduced by stacking, every node-level test statistic is divided by the number of imputations M, the node-level p-values are recomputed from the chi-squared reference distribution 'ctree' uses (including its multiplicity adjustment across candidate splitting variables), and the tree is compressed bottom-up (the Stack/M correction). Degrees of freedom are derived for each node and each candidate variable, so univariate, bivariate and higher-dimensional outcomes are all handled, as are unordered factor predictors, whose degrees of freedom depend on how many levels remain in a node. The result is a single interpretable tree [...truncated...]
Author: Phillip Sherlock [aut, cre]
Maintainer: Phillip Sherlock <phillip.sherlock@ufl.edu>

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Package eiballots updated to version 0.2.0-1 with previous version 0.1.0-1 dated 2026-09-26

Title: Ballot-Level Microdata and Summaries for Ecological Inference (Florida 2000)
Description: Provides access to ballot-level electoral microdata from the Florida 2000 general election and tools for computing summaries suitable for ecological inference. Includes functions to load data by county or race (election), compute marginal distributions at the precinct level, and build joint contingency arrays across multiple races for use with ecological inference packages. Data files are stored in a remote repository and downloaded on demand; local copies are supported via the 'data_dir' option. Acknowledgements: We thank Jaime Ventura (ANES, University of Michigan) and Dan Keating (The Washington Post) for providing the raw data that serve as the starting point for the construction of this package. We also acknowledge funding from the Conselleria de Educación, Cultura y Universidades (grant CIACIO/2023/031).
Author: Cristina Aybar [aut] , Jose M. Pavia [aut, cre]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>

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Package taxodist updated to version 0.9.0 with previous version 0.8.0 dated 2026-09-24

Title: Taxonomic Hierarchy Distances and Lineage Analysis
Description: Computes distances between taxonomic hierarchy nodes using lineage data retrieved from The Taxonomicon <http://taxonomicon.taxonomy.nl>. For distinct nodes, distance is defined as the reciprocal of the depth of their most recent common ancestor; identical nodes have distance zero. This definition yields an ultrametric within each connected hierarchy. Functions are provided for auditable name resolution, online or user-supplied lineage analysis, clade membership, pairwise, matrix, and cross-set distance calculation, classification trees with named clades, hierarchical clustering, principal coordinates analysis, portable and comparable JSON analysis bundles, and cache management. Distance matrices are returned as base R 'dist' objects. The distances represent classification depth rather than evolutionary time or phylogenetic branch length.
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

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Package talib updated to version 0.9-5 with previous version 0.9-4 dated 2026-10-05

Title: Interface to 'TA-Lib' for Technical Analysis and Candlestick Patterns
Description: Interface to the 'TA-Lib' (Technical Analysis Library) 'C' library, providing access to 150+ indicators (e.g. Average Directional Movement Index (ADX), Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI), Stochastic Oscillator, Bollinger Bands), candlestick pattern recognition, and rolling-window utilities. Core computations are implemented in 'C' for fast Open-High-Low-Close-Volume (OHLCV) time-series feature engineering and rule-based signal generation, with optional interactive visualization via 'plotly'.
Author: Serkan Korkmaz [cre, aut, cph] , Mario Fortier [cph] )
Maintainer: Serkan Korkmaz <serkor1@duck.com>

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Package SEQTaRget updated to version 1.4.5 with previous version 1.4.4 dated 2026-08-28

Title: Sequential Trial Emulation
Description: Implementation of sequential trial emulation for the analysis of observational databases. The 'SEQTaRget' software accommodates time-varying treatments and confounders, as well as binary and failure time outcomes. 'SEQTaRget' allows to compare both static and dynamic strategies, can be used to estimate observational analogs of intention-to-treat and per-protocol effects, and can adjust for potential selection bias induced by losses-to-follow-up. (Paper to come).
Author: Ryan O'Dea [aut, cre] , Tom Palmer [aut] , Paul Madley-Dowd [aut] , Alejandro Szmulewicz [aut] , Miguel A. Hernan [aut] , The President and Fellows of Harvard College [cph]
Maintainer: Ryan O'Dea <ryan.odea@psi.ch>

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Package postshock updated to version 0.2.1 with previous version 0.2.0 dated 2026-07-27

Title: Donor-Adjusted Post-Shock Forecasting
Description: Implements donor-adjusted methods for forecasting conditional means and variances after structural shocks. Historical donor episodes are weighted using covariates observed before each shock, and their estimated post-shock effects are combined with forecasts from a target-series model. The methods build on Lin and Eck (2021) <doi:10.1016/j.ijforecast.2021.03.010>. The package supports donor balancing weights, structured donor pools, autoregressive integrated moving average models, and generalized autoregressive conditional heteroscedasticity models with external regressors.
Author: Qiyang Wang [aut, cre] , Daniel J. Eck [aut]
Maintainer: Qiyang Wang <wangqiyang497@gmail.com>

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Package PBGoF updated to version 0.2.0 with previous version 0.1.0 dated 2026-10-02

Title: Goodness-of-Fit Tests for Skew-Normal and Skew-t Models
Description: Provides precomputed-quantile goodness-of-fit tests for skew-normal distributions, parametric-bootstrap tests for skew-normal and skew-t distributions, robust fitting, and graphical diagnostics. Package methods and documentation are described by Li, Xu, and Khang (2026) <https://github.com/Divo-Lee/PBGoF>.
Author: Hongxiang Li [aut, cre], Chenglin Xu [aut], Tsung Fei Khang [aut]
Maintainer: Hongxiang Li <hxli@ynnu.edu.cn>

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Package multiscape updated to version 1.4.2 with previous version 1.0.7 dated 2026-04-30

Title: Multi-Action, Multi-Objective Spatial Planning
Description: Provides a modular framework for exact multi-objective spatial planning using mixed-integer programming. The package supports the definition of planning problems through planning units, features, management actions, action effects, spatial relations, targets, constraints, and objective functions. It enables the optimisation of spatial planning portfolios under considerations such as boundary structure, connectivity, and fragmentation. Supported multi-objective methods include weighted-sum aggregation, epsilon-constraint, and the augmented epsilon-constraint method. Problems can be solved with several commercial and open-source optimisation solvers. Optional solver backends include the 'gurobi' R package, which is distributed with the Gurobi Optimizer installation <https://docs.gurobi.com/projects/optimizer/en/13.0/reference/r/setup.html>, and the 'rcbc' R package, available from GitHub at <https://github.com/dirkschumacher/rcbc>. For background on multi-objective optimisati [...truncated...]
Author: Jose Salgado-Rojas [aut, cre] , Matias Moreno-Faguett [aut] , Victoria Madrid-Ayala [aut] , Sara Pineda-Zapata [aut] , Nuria Aquilue [aut]
Maintainer: Jose Salgado-Rojas <jose.salgroj@gmail.com>

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 multiscape-1.4.2/multiscape/tests/testthat/test-solve-multiobjective.R                     |   11 
 multiscape-1.4.2/multiscape/tests/testthat/test-solve-single.R                             |    9 
 multiscape-1.4.2/multiscape/tests/testthat/test-solve_requires_method.R                    |    4 
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 305 files changed, 15040 insertions(+), 9191 deletions(-)

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