Package spatstat.random updated to version 3.5-2 with previous version 3.5-1 dated 2026-07-27

Title: Random Generation Functionality for the 'spatstat' Family
Description: Functionality for random generation of spatial data in the 'spatstat' family of packages. Generates random spatial patterns of points according to many simple rules (complete spatial randomness, Poisson, binomial, random grid, systematic, cell), randomised alteration of patterns (thinning, random shift, jittering), simulated realisations of random point processes including simple sequential inhibition, Matern inhibition models, Neyman-Scott cluster processes (using direct, Brix-Kendall, or hybrid algorithms), log-Gaussian Cox processes, product shot noise cluster processes and Gibbs point processes (using Metropolis-Hastings birth-death-shift algorithm, alternating Gibbs sampler, or coupling-from-the-past perfect simulation). Also generates random spatial patterns of line segments, random tessellations, and random images (random noise, random mosaics). Excludes random generation on a linear network, which is covered by the separate package 'spatstat.linnet'.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Tilman Davies [aut, cph] , Kasper Klitgaard Berthelsen [ctb, cph], David Bryant [ctb, cph], Ya-Mei Chang [ctb, cph], Ute Hahn [ctb], Abdollah Jalilian [ctb], Dominic Sc [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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

Title: Generative UI for 'shiny'
Description: Build interactive user interfaces for 'shiny' applications through a conversation with a large language model (LLM). Developers choose a set of reusable components, and the model arranges and updates those components as the user describes what they need. Each component's inputs are checked before it is shown, and the model supplies data rather than executable code. Applications can also save and replay the sequence of interface changes without contacting a model. For background on generative user interfaces, see Leviathan et al. (2026) <doi:10.48550/arXiv.2604.09577>.
Author: Nan Xiao [aut, cre, cph]
Maintainer: Nan Xiao <me@nanx.me>

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Package ggmeta updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-22

Title: Publication-Quality Forest and Funnel Plots with 'ggplot2'
Description: A 'ggplot2' extension that creates publication-quality forest and funnel plots from 'meta' package objects or tidy data frames. Provides custom 'ggproto' geometries for study-level confidence intervals with weight-proportional squares, summary effect diamonds, prediction intervals, null-effect reference lines, and funnel-plot contours. Supports subgroup analysis, back-transformation of summary measures, on-the-fly effect pooling, effect and weight table columns, and journal-specific layout presets (JAMA, BMJ, RevMan5).
Author: Hercules R. Freitas [aut, cre, cph]
Maintainer: Hercules R. Freitas <hercules.freitas@uerj.br>

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Package foodwebr updated to version 1.1.0 with previous version 1.0.0 dated 2025-09-30

Title: Visualise Function Dependencies
Description: Easily create graphs of the inter-relationships between functions in an environment.
Author: Lewin Appleton-Fox [aut, cre]
Maintainer: Lewin Appleton-Fox <lewin.a.f@gmail.com>

Diff between foodwebr versions 1.0.0 dated 2025-09-30 and 1.1.0 dated 2026-09-21

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Package daoh updated to version 0.2.6 with previous version 0.1.0 dated 2026-06-19

Title: Days Alive and Out of Hospital (DAOH) Calculation
Description: Calculates Days Alive and Out of Hospital (DAOH) from administrative admission/discharge/mortality data using three algorithms (nights, days, exact) and three death-handling approaches (midday, midnight, zero). Includes tools for comparing methods (Bland-Altman, ICC, reclassification), and plotting.
Author: David Cumin [aut, cre]
Maintainer: David Cumin <d.cumin@auckland.ac.nz>

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New package summarisebig with initial version 0.1.0
Package: summarisebig
Title: Grouped Summaries for Large 'arrow' Datasets
Version: 0.1.0
Description: Provides a 'dplyr'-like interface for grouped summaries on large 'arrow' datasets. Complete summaries are attempted in 'arrow' first. When a result can be reconstructed from 'arrow'-computable sufficient statistics, an explicit MapReduce-style reduction and 'R' finalization strategy is available. For arbitrary 'R' functions that require raw group observations, complete groups are materialized in bounded chunks, with optional parallel execution and shared-memory processing. The MapReduce strategy follows the programming model described by Dean and Ghemawat (2008) <doi:10.1145/1327452.1327492>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: arrow, dplyr, future, future.mirai, futurize, furrr (>= 0.4.0), purrr, rlang
Suggests: knitr, mori, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://github.com/larry77/summarisebig, https://larry77.github.io/summarisebig/
BugReports: https://github.com/larry77/summarisebig/issues
NeedsCompilation: no
Packaged: 2026-09-11 20:15:02 UTC; lorenzo
Author: Lorenzo Isella [aut, cre]
Maintainer: Lorenzo Isella <lorenzo.isella@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-21 22:30:02 UTC

More information about summarisebig at CRAN
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Package PAMpal updated to version 1.6.1 with previous version 1.5.2 dated 2026-02-26

Title: Load and Process Passive Acoustic Data
Description: Tools for loading and processing passive acoustic data. Read in data that has been processed in 'Pamguard' (<https://www.pamguard.org/>), apply a suite processing functions, and export data for reports or external modeling tools. Parameter calculations implement methods by Oswald et al (2007) <doi:10.1121/1.2743157>, Griffiths et al (2020) <doi:10.1121/10.0001229> and Baumann-Pickering et al (2010) <doi:10.1121/1.3479549>.
Author: Taiki Sakai [aut, cre], Jay Barlow [ctb], Emily Griffiths [ctb], Michael Oswald [ctb], Simone Baumann-Pickering [ctb], Julie Oswald [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>

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New package legendplot with initial version 0.4-1
Package: legendplot
Title: Standard and 'rgl' Plots with Legends
Version: 0.4-1
Date: 2026-09-11
Maintainer: Ruben Fernandez-Casal <rubenfcasal@gmail.com>
Depends: R (>= 2.14.0), graphics
Imports: rgl, grDevices
Suggests: fields, knitr
Description: Provides tools to combine standard R plots or 'rgl' 3D plots with a legend. Facilitates the creation of composite figures that mix 2D or 3D visualizations with a categorical or continuous legend.
License: GPL (>= 2)
URL: https://rubenfcasal.github.io/legendplot/, https://github.com/rubenfcasal/legendplot/
BugReports: https://github.com/rubenfcasal/legendplot/issues/
LazyData: yes
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-11 19:54:33 UTC; ruben.fcasal
Author: Ruben Fernandez-Casal [aut, cre]
Repository: CRAN
Date/Publication: 2026-09-21 22:20:02 UTC

More information about legendplot at CRAN
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Package coursekata updated to version 0.21.0 with previous version 0.20.1 dated 2026-08-22

Title: Packages and Functions for 'CourseKata' Courses
Description: Easily install and load all packages and functions used in 'CourseKata' courses. Aid teaching with helper functions and augment generic functions to provide cohesion between the network of packages. Learn more about 'CourseKata' at <https://www.coursekata.org>.
Author: Adam Blake [cre, aut] , Ji Son [aut] , Jim Stigler [aut] , CourseKata [cph]
Maintainer: Adam Blake <adam@coursekata.org>

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More information about coursekata at CRAN
Permanent link

New package CLCM with initial version 0.1.1
Package: CLCM
Title: Estimate Confirmatory Latent Class Models
Version: 0.1.1
Description: Estimate confirmatory latent class models for a variety of item response types that are encountered in the clinical field. One or two timepoints are supported. Latent regression estimation can be performed, allowing for comparisons of longitudinal latent class assignments (e.g., treatment success/failure) across observed groups (e.g., treatment arms in clinical trials). Fit statistics C2 (a limited-information goodness-of-fit statistic), Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC) are available as well. Methods are described in Iaconangelo (2026) <doi:10.5281/zenodo.22663151>.
License: GPL (>= 3)
URL: https://github.com/CJangelo/CLCM, https://cjangelo.github.io/CLCM/
BugReports: https://github.com/CJangelo/CLCM/issues
Encoding: UTF-8
Imports: Matrix, numDeriv, stats, utils
Suggests: ggplot2, knitr, nnet, rmarkdown, scales
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-12 00:53:40 UTC; charl
Author: Charlie Iaconangelo [aut, cre]
Maintainer: Charlie Iaconangelo <charles.iaconangelo@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-21 22:50:11 UTC

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New package ValCurvaR with initial version 0.1.0
Package: ValCurvaR
Title: Validation of Analytical Calibration Curves
Version: 0.1.0
Description: Provides transparent tools for fitting and evaluating analytical calibration curves. Ordinary and weighted least squares fits are supported, together with lack-of-fit, heteroscedasticity and influence diagnostics, back-calculation, prediction uncertainty and publication-ready base graphics. The workflow is designed to support validation studies rather than rely on a single goodness-of-fit statistic. Methods follow Magnusson and Ornemark (2014) <https://www.eurachem.org/images/stories/Guides/pdf/MV_guide_2nd_ed_EN.pdf> and International Council for Harmonisation (2023) <https://database.ich.org/sites/default/files/ICH_Q2%28R2%29_Guideline_2023_1130_ErrorCorrection_2025.pdf>.
License: MIT + file LICENSE
URL: https://github.com/isaquebrand/ValCurvaR
BugReports: https://github.com/isaquebrand/ValCurvaR/issues
Encoding: UTF-8
Imports: graphics, grDevices, lmtest, nortest, outliers, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-11 11:43:01 UTC; isaqu
Author: Isaque Wilkson de Sousa Brandao [aut, cre]
Maintainer: Isaque Wilkson de Sousa Brandao <isaquebrand@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-21 21:20:02 UTC

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Package TmCalculator updated to version 1.1.1 with previous version 1.1.0 dated 2026-09-14

Title: Genome-Wide Nucleic Acid Melting Temperature Profiling and Multi-Omics Integration
Description: Accurate calculation of nucleic acid melting temperature (Tm) is fundamental to many molecular biology applications, and this software scales Tm analysis from individual sequences to genome‑wide thermodynamic profiling. This package extends Tm analysis from simple sequence level computation to comprehensive genome-wide thermodynamic profiling. It takes four input sources: sequence strings, a FASTA file, an installed 'BSgenome' package named by string, or a 'GRanges' carrying sequences. A 'regions' argument selects what to cover and 'window' and 'slide' set the resolution at which it is tiled. The implementation provides three Tm calculation methods: the Wallace rule (Thein & Wallace, 1986), empirical GC‑content formulas (Marmur, 1962; Schildkraut, 2010; Wetmur, 1991; Untergasser, 2012; von Ahsen, 2001), and nearest‑neighbor thermodynamics (Breslauer, 1986; Sugimoto, 1996; Allawi, 1998; SantaLucia, 2004; Freier, 1986; Xia, 1998; Chen, 2012; Bommarito, 2000; Turner, 2010; Sugimoto, 1 [...truncated...]
Author: Junhui Li [cre, aut] , Lihua Julie Zhu [aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

Diff between TmCalculator versions 1.1.0 dated 2026-09-14 and 1.1.1 dated 2026-09-21

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More information about TmCalculator at CRAN
Permanent link

New package tbl.now with initial version 1.0.0
Package: tbl.now
Title: Tidy Data and Workflow Layer for Epidemic Nowcasting
Version: 1.0.0
Description: Defines tidy data structures and package-agnostic workflows for epidemiological nowcasting. The 'tbl_now' class records event, report, and revision dates alongside strata, covariates, censoring, and reporting-delay metadata while remaining compatible with 'dplyr'. Tools support validation, manipulation, diagnostics, visualization, format conversion, retrospective evaluation, and multiple modelling engines. The 'tbl_nowcast' class standardizes probabilistic predictions for plotting, scoring, comparison, and ensembling.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.2.0)
Suggests: almanac, baselinenowcast (>= 0.2.1), diseasenowcasting (>= 2.4.0), data.table, epidist (>= 0.4.1), EpiNow2 (>= 1.9.0), epinowcast (>= 0.7.0), knitr, modifiedmk (>= 1.6.0), NobBS (>= 1.1.1), patchwork, plotly, rmarkdown, scoringutils (>= 2.0.0), surveillance (>= 1.26.1), testthat (>= 3.0.0), tsibble, withr
Additional_repositories: https://epinowcast.r-universe.dev, https://davisvaughan.r-universe.dev, https://rodrigozepeda.r-universe.dev
Imports: cli, generics, grid, dplyr, ggplot2, lifecycle, lubridate, methods, pillar, rlang, S7, scales, stats, tibble, tidyr, tidyselect, utils
URL: https://rodrigozepeda.github.io/tbl.now/, https://github.com/RodrigoZepeda/tbl.now
BugReports: https://github.com/RodrigoZepeda/tbl.now/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-11 10:38:28 UTC; rodzepeda
Author: Rodrigo Zepeda-Tello [aut, cre] , Rami Yaari [aut] , Matteo Perini [aut] , Teresa Yamana [ctb] , Jeffrey Shaman [ctb] , Columbia University in the City of New York [cph, fnd]
Maintainer: Rodrigo Zepeda-Tello <rzepeda17@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-21 21:10:02 UTC

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New package spaci with initial version 0.1.1
Package: spaci
Title: Causal Effect Estimation Under Spatial Confounding and Interference
Version: 0.1.1
Description: Implements the distance-adjusted propensity score with interference (iDAPS) and recoverU+ methods for estimating the average treatment effect on the treated (ATT) from spatial observational data in the presence of both spatial confounding and spatial interference. iDAPS matches units on a data-driven composite of propensity-score distance, spatial proximity and neighbourhood-exposure distance. recoverU+ is a doubly robust estimator that augments the propensity-score and control-outcome models with a partially recovered spatial confounder and a neighbourhood-exposure term. The package also provides the naive propensity score, DAPS and recoverU comparators, and a simulator for the spatial confounding/interference data-generating process.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats
Suggests: geoR, ggplot2, readxl, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/Ogunsolaia/spaci
BugReports: https://github.com/Ogunsolaia/spaci/issues
NeedsCompilation: no
Packaged: 2026-09-11 12:10:11 UTC; b71225io
Author: Isqeel Ogunsola [aut, cre], Olatunji Johnson [aut], Thomas House [aut]
Maintainer: Isqeel Ogunsola <isqeel.ogunsola@postgrad.manchester.ac.uk>
Repository: CRAN
Date/Publication: 2026-09-21 21:30:02 UTC

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New package risq with initial version 3.0.0
Package: risq
Title: Representativity Indicators for Survey Quality
Version: 3.0.0
Maintainer: Reijer Idema <r.idema@cbs.nl>
Description: Calculate representativity indicators for survey quality based on survey data and response models. Use partial indicators to analyse the impact of individual variables and categories. Monitor changes in representativity during data collection. Improve representativity through adaptive survey design. Supports both R-indicators and coefficients of variation. See also Schouten, Cobben, Bethlehem (2009) <https://api.semanticscholar.org/CorpusID:33654901>, Shlomo, Skinner, Schouten (2012) <doi:10.1016/j.jspi.2011.07.008> and Schouten, Shlomo (2017) <doi:10.1111/insr.12159>.
License: EUPL-1.2
Encoding: UTF-8
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-11 11:36:44 UTC; reijer
Author: Reijer Idema [aut, cre], Barry Schouten [aut]
Repository: CRAN
Date/Publication: 2026-09-21 21:10:17 UTC

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New package raddr with initial version 0.1.2
Package: raddr
Title: Show What an IP Address Literal Means Under Every Standard
Version: 0.1.2
Language: en-US
Description: Standards and implementations disagree about what an IP address literal means: the string "0177.0.0.1" is rejected by the dotted-quad grammar, read as 127.0.0.1 by browsers, and read as 177.0.0.1 by some 'inet_pton' implementations. Most libraries pick one reading and discard the rest. This package reports them all, alongside the reason codes that explain each one, and classifies parsed values against the IANA special-purpose address registries. It is pure R, performs no network access, and returns facts rather than allow or deny verdicts.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: rlang (>= 1.1.7), vctrs (>= 0.7.0)
URL: https://gitlab.com/bart-turczynski/raddr
BugReports: https://gitlab.com/bart-turczynski/raddr/-/issues
Suggests: bignum, bit64, digest, hedgehog, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-10 18:22:52 UTC; bartturczynski
Author: Bart Turczynski [aut, cre] , web-platform-tests contributors [cph]
Maintainer: Bart Turczynski <bartek@turczynski.pl>
Repository: CRAN
Date/Publication: 2026-09-21 21:40:02 UTC

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Package PAMmisc updated to version 1.14.2 with previous version 1.13.0 dated 2026-04-04

Title: Miscellaneous Functions for Passive Acoustic Analysis
Description: A collection of miscellaneous functions for passive acoustics. Much of the content here is adapted to R from code written by other people. If you have any ideas of functions to add, please contact Taiki Sakai.
Author: Taiki Sakai [aut, cre], Jay Barlow [ctb], Julie Oswald [ctb], Val Schmidt [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>

Diff between PAMmisc versions 1.13.0 dated 2026-04-04 and 1.14.2 dated 2026-09-21

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New package gtstats with initial version 1.0.0
Package: gtstats
Title: Beginner-Friendly Statistics and Publication-Ready Tables
Version: 1.0.0
Description: Provides beginner-friendly functions for common descriptive and inferential statistical analyses, together with tools for creating publication-ready tables. The package includes data description, summary statistics, distribution assessment, group comparisons, effect sizes, correlations, proportions and rates with confidence intervals, crosstabs for epidemiological measures, plots, and modular table-building workflows. Statistical methods include unequal-variance comparisons described by Welch (1947) <doi:10.1093/biomet/34.1-2.28>, score confidence intervals described by Wilson (1927) <doi:10.1080/01621459.1927.10502953>, and robust variance assessment described by Brown and Forsythe (1974) <doi:10.1080/01621459.1974.10482955>.
URL: https://gtstats.thinkdenominator.com/, https://github.com/ThinkDenominator/gtstats
BugReports: https://github.com/thinkdenominator/gtstats/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: dplyr, tibble, gt, flextable, officer, stats, ggplot2, tidyselect
Suggests: shiny, rstudioapi, rio, testthat (>= 3.0.0), knitr, rmarkdown, pkgdown, webshot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-11 14:56:33 UTC; drrubesh
Author: Rubeshkumar Polani [aut, cre] , Mogan Kaviprawin [aut] , Manikandanesan Sakthivel [aut] , Salin K Eliyas [aut] , Yuvaraj Krishnamoorthy [aut]
Maintainer: Rubeshkumar Polani <rubesh@thinkdenominator.com>
Repository: CRAN
Date/Publication: 2026-09-21 21:50:02 UTC

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Package GetLattesData updated to version 1.5.2 with previous version 1.5 dated 2024-05-04

Title: Reading Bibliometric Data from Lattes Platform
Description: A simple API for downloading and reading xml data directly from Lattes <http://lattes.cnpq.br/>.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

Diff between GetLattesData versions 1.5 dated 2024-05-04 and 1.5.2 dated 2026-09-21

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New package CausalLoopAnalytics with initial version 1.0.0
Package: CausalLoopAnalytics
Title: Data-Driven Causal Loop and Feedback Network Analysis
Version: 1.0.0
Description: Provides tools for constructing signed causal-loop models, discovering directed causal relationships from time-series data using Granger-style tests, identifying and classifying reinforcing and balancing feedback loops, quantifying loop strength, assessing loop stability by bootstrap resampling, calculating network centrality and leverage-point scores, comparing causal-loop models, and producing publication-ready base R visualizations and summaries. The package is domain-agnostic and can be used in human medicine, veterinary medicine, agriculture, epidemiology, ecology, public health, and One Health. Methods are based on Granger (1969) <doi:10.2307/1912791> and Efron (1979) <doi:10.1214/aos/1176344552>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0)
URL: https://github.com/vinodhpmd/CausalLoopAnalytics
BugReports: https://github.com/vinodhpmd/CausalLoopAnalytics/issues
NeedsCompilation: no
Packaged: 2026-09-11 14:21:34 UTC; m
Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-21 21:50:17 UTC

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Package rollout updated to version 0.2.0 with previous version 0.1.0 dated 2026-01-13

Title: Tools for Designing, Simulating, and Analyzing Implementation Rollout Trials
Description: Provides a unified framework for designing, simulating, and analyzing implementation rollout trials, including stepped wedge, sequential rollout, head-to-head, multi-condition, and rollout implementation optimization designs. The package enables users to flexibly specify rollout schedules, incorporate site-level and nested data structures, generate outcomes under rich hierarchical models, and evaluate analytic strategies through simulation-based power analysis. By separating data generation from model fitting, the tools support assessment of bias, Type I error, and robustness to model misspecification. The workflow integrates with standard mixed-effects modeling approaches and the tidyverse ecosystem, offering transparent and reproducible tools for implementation scientists and applied statisticians.
Author: Ian Cero [aut, cre] , C. Hendricks Brown [aut]
Maintainer: Ian Cero <ian_cero@urmc.rochester.edu>

Diff between rollout versions 0.1.0 dated 2026-01-13 and 0.2.0 dated 2026-09-21

 DESCRIPTION                            |   12 
 LICENSE                                |    4 
 MD5                                    |   69 ++---
 NAMESPACE                              |    3 
 NEWS.md                                |    9 
 R/data_generation.R                    |  322 ++++++++++++-------------
 R/effect_simulation.R                  |   94 ++++++-
 R/model_evaluation.R                   |  412 ++++++++++++++++++++++++++++++---
 R/model_fitting.R                      |  195 +++++++--------
 R/rollout-package.R                    |    6 
 man/add_binary_outcome.Rd              |   78 +++---
 man/add_binomial_outcome.Rd            |only
 man/add_error.Rd                       |   46 +--
 man/add_fixed_effect.Rd                |   46 +--
 man/add_linear_outcome.Rd              |   46 +--
 man/add_parameter.Rd                   |   46 +--
 man/add_poisson_outcome.Rd             |   64 ++---
 man/add_random_effect.Rd               |   50 ++--
 man/eval_between.Rd                    |  113 ++++-----
 man/eval_bias.Rd                       |  155 +++++++-----
 man/eval_coverage.Rd                   |only
 man/eval_greater_than.Rd               |  111 ++++----
 man/eval_less_than.Rd                  |  111 ++++----
 man/eval_quantile.Rd                   |  119 ++++-----
 man/evaluate_model_results.Rd          |  181 +++++++-------
 man/extract_model_results.Rd           |  104 ++++----
 man/figures/lifecycle-deprecated.svg   |   42 +--
 man/figures/lifecycle-experimental.svg |   42 +--
 man/figures/lifecycle-stable.svg       |   58 ++--
 man/figures/lifecycle-superseded.svg   |   42 +--
 man/fit_models.Rd                      |  179 +++++++-------
 man/initialize_replicates.Rd           |   46 +--
 man/join_info.Rd                       |   74 ++---
 man/pivot_schedule_longer.Rd           |  113 ++++-----
 man/rollout-package.Rd                 |   59 ++--
 tests/testthat/test-data_generation.R  |  271 +++++++++++++++++++++
 tests/testthat/test-model_evaluation.R |only
 37 files changed, 2031 insertions(+), 1291 deletions(-)

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Package nlmixr2extra updated to version 5.2.1 with previous version 5.2.0 dated 2026-08-04

Title: Nonlinear Mixed Effects Models in Population PK/PD, Extra Support Functions
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>). This package is for support functions like preconditioned fits <doi:10.1208/s12248-016-9866-5>, boostrap and stepwise covariate selection.
Author: Matthew Fidler [aut, cre] , Vipul Mann [aut], Vishal Sarsani [aut] , Christian Bartels [ctb], Bill Denney [aut] , Omar Elashkar [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between nlmixr2extra versions 5.2.0 dated 2026-08-04 and 5.2.1 dated 2026-09-21

 DESCRIPTION                               |   17 
 MD5                                       |   94 -
 NAMESPACE                                 |   65 -
 NEWS.md                                   |  101 +
 R/AICHelpers.R                            |    5 
 R/SCM.R                                   |  393 +++++--
 R/bayesiancovsel.R                        |  157 +-
 R/computingutil.R                         |  504 ++++-----
 R/iivSearch.R                             |  351 +++---
 R/knit_printEquation.R                    |   91 +
 R/lassocov.R                              |  388 ++++---
 R/linearizefocei.R                        | 1588 ++++++++++++++++--------------
 R/multistart.R                            |only
 R/nlmixr2extra-package.R                  |    1 
 R/nlmixrFormula.R                         |  251 +++-
 R/parsingutil.R                           |  359 +++---
 R/precondition.R                          |  268 +++--
 R/profile.R                               |  124 +-
 R/resSearch.R                             |   58 -
 R/rxUiLinearize.R                         |  280 +++--
 R/setCov.R                                |  209 ++-
 R/theoFitOde.R                            |   14 
 R/zzz.R                                   |    1 
 README.md                                 |   48 
 data/theoFitOde.rda                       |binary
 inst/iivSearch.R                          |  212 ++--
 inst/tools/build.R                        |    5 
 man/horseshoeSummardf.Rd                  |    2 
 man/lassoSummardf.Rd                      |    2 
 man/linearize.Rd                          |   21 
 man/linearizePlot.Rd                      |    3 
 man/multistart.Rd                         |only
 man/multistartControl.Rd                  |only
 man/plot.nlmixr2Multistart.Rd             |only
 tests/testthat/test-AICHelpers.R          |    5 
 tests/testthat/test-SCM-backwardSearch.R  |    4 
 tests/testthat/test-SCM-covarSearchAuto.R |  128 ++
 tests/testthat/test-bootstrap.R           |   56 -
 tests/testthat/test-computing.R           |   34 
 tests/testthat/test-iivSearch.R           |   45 
 tests/testthat/test-ini-prior-column.R    |only
 tests/testthat/test-knit_printEquation.R  |   64 -
 tests/testthat/test-lasso.R               |   22 
 tests/testthat/test-linearizefocei.R      |  858 ++++++++--------
 tests/testthat/test-multistart.R          |only
 tests/testthat/test-nlmixrFormula.R       |  281 +++--
 tests/testthat/test-parsing.R             |  160 +--
 tests/testthat/test-precondition.R        |  101 +
 tests/testthat/test-profile.R             |   66 -
 tests/testthat/test-resSearch.R           |   37 
 tests/testthat/test-safety.R              |    1 
 51 files changed, 4434 insertions(+), 3040 deletions(-)

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New package nlcs with initial version 1.0
Package: nlcs
Title: N-LCS: Normative Latent Cognitive Structure
Version: 1.0
Description: Provides functions to construct a normative latent cognitive structure (N-LCS) from cognitive test data standardized to healthy controls, and to compute cognitive deviation magnitude (CDM) and cognitive deviation angle (CDA). Methods are described in Chen (2026) <doi:10.1080/23279095.2026.2691088>.
License: GPL-3
Encoding: UTF-8
Imports: EFAtools, psych, stats, utils
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-11 08:13:38 UTC; chenc
Author: Chen Chen [aut, cre]
Maintainer: Chen Chen <chench61@alumni.nu.ac.th>
Repository: CRAN
Date/Publication: 2026-09-21 21:00:02 UTC

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New package GARCHInfoLSTM with initial version 0.1.0
Package: GARCHInfoLSTM
Title: GARCH-Informed LSTM Model for Volatility Forecasting
Version: 0.1.0
Description: The proposed Generalized Autoregressive Conditional Heteroskedasticity (GARCH)-informed Long Short-Term Memory (LSTM) model follows the concept of physics-informed machine learning (PIML) by integrating established econometric knowledge of price volatility into a data-driven forecasting framework. In the model, conditional volatility estimated from the GARCH process is incorporated as an additional explanatory signal or volatility-based weighting component within the LSTM architecture. This enables the LSTM to learn nonlinear temporal dependencies while remaining informed by the underlying characteristics of agricultural price series, including volatility clustering, heteroscedasticity and market uncertainty. The optimized weighting parameter, lambda, controls the contribution of the GARCH-derived volatility information to the final prediction. Thus, the model combines the statistical interpretability of GARCH with the nonlinear learning capability of LSTM, producing a hybrid PIML fram [...truncated...]
Encoding: UTF-8
Imports: torch (>= 0.11.0), rugarch (>= 1.5.0), ggplot2 (>= 3.4.0), cli (>= 3.6.0), coro, stats, utils
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2026-09-08 11:41:08 UTC; YEASIN
Author: Md Yeasin [aut], Ranjit Kumar Paul [aut, cre], Manojit Mandal [aut], Pushkar Bora [aut]
Maintainer: Ranjit Kumar Paul <ranjitstat@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-21 20:50:08 UTC

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New package exposureEM with initial version 0.3.0
Package: exposureEM
Title: Combined-Exposure Models by EM and Marquardt Optimization
Version: 0.3.0
Description: Fits general two-component combined-exposure models for binary event histories when the event setting is not observed. The observed binary event is represented as the union of two latent component-specific binary events. Known exposure proportions enter as offsets. Parameters can be estimated by expectation-maximization, direct Marquardt-damped Newton-Raphson maximization of the observed likelihood, or a hybrid that uses several expectation-maximization iterations before direct optimization. Uncertainty is estimated with Louis' formula for the expectation-maximization estimator and the inverse observed Hessian for direct and hybrid fits. Complementary log-log, logit, and log component links are available for all three estimation methods.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, utils
NeedsCompilation: no
Packaged: 2026-09-11 07:17:45 UTC; anna
Author: Wenjing Meng [aut, cre]
Maintainer: Wenjing Meng <w2meng@ucsd.edu>
Repository: CRAN
Date/Publication: 2026-09-21 21:00:07 UTC

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New package DMAR with initial version 1.0.0
Package: DMAR
Title: Design, Measurement, and Analysis in R (DMAR)
Version: 1.0.0
Date: 2026-09-07
Imports: grDevices, MASS, generics, parallel, stats, utils, withr
Suggests: boot, car, ggplot2 (>= 3.4.0), ggrain, knitr, lavaan (>= 0.7-2), lme4, lmerTest, mvtnorm, nlme, OpenMx, patchwork, reformulas, rmarkdown, testthat (>= 3.2.0)
Description: Methods for design, measurement, and analysis, with the aim of being user friendly yet methodologically sound. 'DMAR' (pronounced "Dee-Mar") implements many advanced and nonstandard methods and makes them available for straightforward use, with interfaces, defaults, and documentation that are consistent across the package and grounded in the methodological literature, in support of sound and reproducible results. The package emphasizes effect size estimation with confidence intervals; sample size planning through accuracy in parameter estimation (AIPE) and power analysis (including composite power for designs whose conclusions require several results to hold at once), with minimum risk, sequential, and equivalence frameworks; reliability, agreement, and measurement more broadly, from coefficient omega with confidence intervals to measurement invariance; factor analysis and structural equation modeling, in which constructs, latent variables measured by multiple indicators, are modeled d [...truncated...]
Depends: R (>= 4.0.0)
URL: https://kenkelley.org, https://yelleknek.github.io/DMAR/, https://github.com/yelleKneK/DMAR
BugReports: https://github.com/yelleKneK/DMAR/issues
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-07 23:48:51 UTC; kkelley
Author: Ken Kelley [aut, cre]
Maintainer: Ken Kelley <kkelley@nd.edu>
Repository: CRAN
Date/Publication: 2026-09-21 20:50:14 UTC

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Package rsconnect updated to version 1.11.1 with previous version 1.11.0 dated 2026-08-25

Title: Deploy Docs, Apps, and APIs to 'Posit Connect', 'shinyapps.io', and 'RPubs'
Description: Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'Posit Connect'. Supported content types include R Markdown documents, Shiny applications, Plumber APIs, plots, and static web content.
Author: Aron Atkins [aut, cre], Toph Allen [aut], Hadley Wickham [aut], Jonathan McPherson [aut], JJ Allaire [aut], Posit Software, PBC [cph, fnd]
Maintainer: Aron Atkins <aron@posit.co>

Diff between rsconnect versions 1.11.0 dated 2026-08-25 and 1.11.1 dated 2026-09-21

 DESCRIPTION                                                       |    6 
 MD5                                                               |   60 
 NEWS.md                                                           |   56 
 R/appMetadata.R                                                   |   12 
 R/applications.R                                                  |   79 
 R/auth.R                                                          |  461 ++++-
 R/client-connect.R                                                |   17 
 R/client-connectCloud.R                                           |  198 +-
 R/deployApp.R                                                     |   23 
 R/deploymentTarget.R                                              |   54 
 R/options.R                                                       |only
 R/rpubs.R                                                         |    2 
 README.md                                                         |    2 
 man/addAuthorizedUser.Rd                                          |   21 
 man/options.Rd                                                    |  101 -
 man/removeAuthorizedUser.Rd                                       |   18 
 man/resendInvitation.Rd                                           |   20 
 man/showInvited.Rd                                                |   28 
 man/showUsers.Rd                                                  |   33 
 tests/manual/publishing-dialog.Rmd                                |    8 
 tests/testthat/helper.R                                           |   42 
 tests/testthat/shinyapp-with-absolute-paths/ShinyDocument.Rmd     |    7 
 tests/testthat/shinyapp-with-absolute-paths/ShinyPresentation.Rmd |    6 
 tests/testthat/shinyapp-with-absolute-paths/server.R              |    2 
 tests/testthat/test-appMetadata.R                                 |   32 
 tests/testthat/test-applications.R                                |  143 +
 tests/testthat/test-auth.R                                        |only
 tests/testthat/test-bundle.R                                      |    2 
 tests/testthat/test-client-connect.R                              |   58 
 tests/testthat/test-client-connectCloud.R                         |  832 +++++++++-
 tests/testthat/test-deployApp.R                                   |  183 ++
 tests/testthat/test-deploymentTarget.R                            |   73 
 32 files changed, 2272 insertions(+), 307 deletions(-)

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New package TaxResolveR with initial version 0.1.0
Package: TaxResolveR
Title: Taxonomic Name Resolution and Validation Tools
Version: 0.1.0
Description: Provides reproducible tools for cleaning, parsing, classifying, standardising, validating and resolving scientific names in ecological and biodiversity datasets. Taxonomic matches can be assessed for match quality and taxonomic status, records requiring manual review can be identified, and resolution results can be summarised, reported and exported. Taxonomic name resolution can use the 'GBIF' species matching service and the GBIF Backbone Taxonomy described by GBIF Secretariat (2023) <doi:10.15468/39omei>.
URL: https://github.com/prdelosriosescalante/TaxResolveR
BugReports: https://github.com/prdelosriosescalante/TaxResolveR/issues
License: GPL-3
Encoding: UTF-8
Language: en-GB
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: httr2
NeedsCompilation: no
Packaged: 2026-09-11 05:40:53 UTC; tarea
Author: Patricio R. De los Rios-Escalante [aut, cre]
Maintainer: Patricio R. De los Rios-Escalante <patricio.delosrios.e@mail.pucv.cl>
Repository: CRAN
Date/Publication: 2026-09-21 18:10:02 UTC

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New package tradeIndices with initial version 0.1.0
Package: tradeIndices
Title: International Trade Intensity, Openness and Diversification Measures
Version: 0.1.0
Description: Calculates commonly used indicators for empirical international trade analysis from user-supplied data. Measures include trade openness, bilateral export and import intensity, the Herfindahl-Hirschman concentration index, normalized and entropy-based diversification, structural diversification relative to a benchmark, export similarity, trade complementarity, revealed comparative advantage, and intra-industry trade. Functions are vectorized where appropriate, validate economically meaningful inputs, and require no external data service. The definition of trade openness follows the World Bank indicator metadata <https://data.worldbank.org/indicator/NE.TRD.GNFS.ZS>. Methodological background for several trade indicators is provided by the World Bank's World Integrated Trade Solution <https://wits.worldbank.org/wits/wits/witshelp/Content/Utilities/e1.trade_indicators.htm> and the World Trade Organization (2012, ISBN:9789287038128).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-11 05:38:56 UTC; majum
Author: Chiranjit Mazumder [aut, cre], Renjini V. R. [aut]
Maintainer: Chiranjit Mazumder <majumder.chira@icar.org.in>
Repository: CRAN
Date/Publication: 2026-09-21 18:00:02 UTC

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New package tiltdens with initial version 0.1.1
Package: tiltdens
Title: Tilted and Data-Sharpened Nonparametric Density Estimation
Version: 0.1.1
Description: High-order nonparametric density estimators built by perturbing a conventional kernel estimator, either by re-weighting the observations ("tilting") or by moving them ("data sharpening"). The perturbation is chosen so that the estimator inherits the fast convergence rate of an infinite-order kernel estimator, such as the sinc or trapezoidal flat-top estimator, while remaining a proper non-negative density without the oscillatory tails those estimators suffer from. Two criteria are provided: minimising the L2 distance to an infinite-order comparator, following Doosti and Hall (2016) <doi:10.1111/rssb.12112>, and minimising a cross-validation criterion that needs no comparator and is much faster, following Doosti, Hall and Mateu (2018) <doi:10.1016/j.jspi.2017.12.003>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 3.5.0)
Imports: graphics, stats, quadprog
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/DoostiH/tiltdens
BugReports: https://github.com/DoostiH/tiltdens/issues
NeedsCompilation: no
Packaged: 2026-09-10 23:52:21 UTC; MQ20173444
Author: Hassan Doosti [aut, cre, cph]
Maintainer: Hassan Doosti <hassan.doosti@mq.edu.au>
Repository: CRAN
Date/Publication: 2026-09-21 17:10:02 UTC

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New package peruocc with initial version 0.1.0
Package: peruocc
Title: Query and Standardize Biodiversity Occurrences in Peru
Version: 0.1.0
Description: Facilitates the retrieval, spatial validation, and integration of flora and fauna occurrence records across administrative units (districts and provinces) in Peru. Retrieves official boundary geometries via 'geoperu', queries and consolidates observations from the Global Biodiversity Information Facility (GBIF, <https://www.gbif.org/>) and 'iNaturalist' (<https://www.inaturalist.org/>), and standardizes attributes into a unified Darwin Core aligned structure. Designed for biodiversity assessments and spatial workflows within user-defined areas of interest.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, dplyr, geoperu, ggplot2, jsonlite, readr, rgbif, rinat, sf
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://paulesantos.github.io/peruocc/
BugReports: https://github.com/PaulESantos/peruocc/issues
NeedsCompilation: no
Packaged: 2026-09-11 03:06:36 UTC; PC
Author: Paul E. Santos Andrade [aut, cre, cph]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-21 17:50:02 UTC

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New package mechgraph with initial version 0.0.1
Package: mechgraph
Title: Mechanism Evidence Graph Data Model
Version: 0.0.1
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Description: Provides a lightweight graph data model for representing, combining, querying, and summarizing evidence-backed biological mechanism graphs. A mechgraph is an S3 list holding a node table, an edge table, and provenance metadata. The package implements builders that convert STRING and BioGRID interaction tables into mechgraph objects, combiners (mg_bind(), mg_combine()) that merge graphs while preserving duplicate evidence records, accessors (mg_nodes(), mg_edges(), mg_metadata()) and mutators (mg_add_*(), mg_drop_*()) for node and edge tables, filters by type, source, identifier, and score, induced-subgraph construction, structural validation (mg_validate()), and quality-control summaries (mg_qc()). Szklarczyk et al. (2023) <doi:10.1093/nar/gkac1000> Oughtred et al. (2021) <doi:10.1002/pro.3938>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: igraph
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-11 05:02:37 UTC; wang
Repository: CRAN
Date/Publication: 2026-09-21 18:00:08 UTC

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New package matsketch with initial version 0.1.0
Package: matsketch
Title: Randomized Matrix Computations from Few Entries and Products
Version: 0.1.0
Description: Implements recent randomized algorithms that answer questions about a large positive-semidefinite matrix while touching only a small part of it. Randomly pivoted Cholesky builds a low-rank approximation from a few rows of a kernel matrix (Chen, Epperly, Tropp and Webber (2025) <doi:10.1002/cpa.22234>), with an accelerated variant based on rejection sampling (Epperly, Tropp and Webber (2025) <doi:10.1137/24m1699048>). The XTrace, XNysTrace and XDiag estimators recover the trace and diagonal of a matrix that is available only through matrix-vector products (Epperly, Tropp and Webber (2024) <doi:10.1137/23m1548323>), alongside the Hutch++ estimator of Meyer, Musco, Musco and Woodruff (2021) <doi:10.1137/1.9781611976496.16>. Randomized Nystrom preconditioning speeds up the conjugate gradient method for regularized linear systems (Frangella, Tropp and Udell (2023) <doi:10.1137/21m1466244>). These pieces are combined to fit restricted maximum likelihood variance [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: graphics, grDevices, stats
Suggests: knitr, Matrix, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/mqfarooqi1/matsketch, https://mqfarooqi1.github.io/matsketch/
BugReports: https://github.com/mqfarooqi1/matsketch/issues
NeedsCompilation: no
Packaged: 2026-09-11 01:03:34 UTC; faroo
Author: Muhammad Farooqi [aut, cre]
Maintainer: Muhammad Farooqi <mqfarooqi@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-21 17:20:02 UTC

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Package tclust updated to version 2.2-3 with previous version 2.2-0 dated 2026-04-26

Title: Robust Trimmed Clustering
Description: Provides functions for robust trimmed clustering. The methods are described in Garcia-Escudero (2008) <doi:10.1214/07-AOS515>, Fritz et al. (2012) <doi:10.18637/jss.v047.i12>, Garcia-Escudero et al. (2011) <doi:10.1007/s11222-010-9194-z> and others.
Author: Valentin Todorov [aut, cre] , Luis Angel Garcia Escudero [aut], Agustin Mayo Iscar [aut], Javier Crespo Guerrero [aut], Heinrich Fritz [aut]
Maintainer: Valentin Todorov <valentin@todorov.at>

Diff between tclust versions 2.2-0 dated 2026-04-26 and 2.2-3 dated 2026-09-21

 tclust-2.2-0/tclust/R/myscale.r         |only
 tclust-2.2-0/tclust/inst/tests          |only
 tclust-2.2-3/tclust/ChangeLog           |   10 +
 tclust-2.2-3/tclust/DESCRIPTION         |    6 
 tclust-2.2-3/tclust/MD5                 |   31 +---
 tclust-2.2-3/tclust/R/DiscrFact.R       |    4 
 tclust-2.2-3/tclust/R/RcppExports.R     |   65 ++++----
 tclust-2.2-3/tclust/R/ctlcurves.R       |    4 
 tclust-2.2-3/tclust/R/myscale.R         |only
 tclust-2.2-3/tclust/R/print.tclust.R    |   13 -
 tclust-2.2-3/tclust/R/tclust-internal.R |   11 +
 tclust-2.2-3/tclust/R/tclust.R          |  186 ++++++++++++++++++++++--
 tclust-2.2-3/tclust/man/estepRR.Rd      |    3 
 tclust-2.2-3/tclust/man/tclust.Rd       |   55 ++++++-
 tclust-2.2-3/tclust/src/GPCM.cpp        |only
 tclust-2.2-3/tclust/src/RcppExports.cpp |   33 +++-
 tclust-2.2-3/tclust/src/tclust.cpp      |  244 ++++++++++++++++++++++++++------
 tclust-2.2-3/tclust/src/tclust_types.h  |   69 ++++++++-
 18 files changed, 596 insertions(+), 138 deletions(-)

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Package SCORPION updated to version 1.3.4 with previous version 1.3.3 dated 2026-09-02

Title: Single Cell Oriented Reconstruction of PANDA Individually Optimized Networks
Description: Constructs cell-type-specific gene regulatory networks from single-cell RNA-sequencing data. The method implements the SCORPION algorithm, which first aggregates individual cells into super-cells and then applies PANDA (Passing Attributes between Networks for Data Assimilation) to infer transcription factor-target regulatory relationships. It also provides statistical methods for differential edge analysis.
Author: Daniel Osorio [aut, cre] , Marieke L. Kuijjer [aut]
Maintainer: Daniel Osorio <daniecos@uio.no>

Diff between SCORPION versions 1.3.3 dated 2026-09-02 and 1.3.4 dated 2026-09-21

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More information about SCORPION at CRAN
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Package arf updated to version 0.2.5 with previous version 0.2.4 dated 2025-02-24

Title: Adversarial Random Forests
Description: Adversarial random forests (ARFs) recursively partition data into fully factorized leaves, where features are jointly independent. The procedure is iterative, with alternating rounds of generation and discrimination. Data becomes increasingly realistic at each round, until original and synthetic samples can no longer be reliably distinguished. This is useful for several unsupervised learning tasks, such as density estimation and data synthesis. Methods for both are implemented in this package. ARFs naturally handle unstructured data with mixed continuous and categorical covariates. They inherit many of the benefits of random forests, including speed, flexibility, and solid performance with default parameters. For details, see Watson et al. (2023) <https://proceedings.mlr.press/v206/watson23a.html>.
Author: Marvin N. Wright [aut, cre] , David S. Watson [aut] , Kristin Blesch [aut] , Jan Kapar [aut] , Lukas Burk [ctb] , Martin Jullum [ctb]
Maintainer: Marvin N. Wright <cran@wrig.de>

Diff between arf versions 0.2.4 dated 2025-02-24 and 0.2.5 dated 2026-09-21

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More information about arf at CRAN
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Package rqti updated to version 1.3.0 with previous version 1.2.1 dated 2026-05-14

Title: Create Tests According to QTI 2.1 Standard
Description: Create tests and tasks compliant with the Question & Test Interoperability (QTI) information model version 2.1. Input sources are Rmd/md description files or S4-class objects. Output formats include standalone zip or xml files. Supports the generation of basic task types (single and multiple choice, order, pair association, matching tables, filling gaps and essay) and provides a comprehensive set of attributes for customizing tests.
Author: Andrey Shevandrin [aut, cre, cph] , Petr Bondarenko [ctb] , Ivonne Ojeda [ctb], Johannes Titz [aut, cph] , Brian Mottershead [cph] , Stiftung fuer Innovation in der Hochschullehre [fnd]
Maintainer: Andrey Shevandrin <shevandrin@gmail.com>

Diff between rqti versions 1.2.1 dated 2026-05-14 and 1.3.0 dated 2026-09-21

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 rqti-1.3.0/rqti/R/Entry.R                                                      |    3 
 rqti-1.3.0/rqti/R/Essay.R                                                      |    4 
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 rqti-1.3.0/rqti/R/NumericGap.R                                                 |    4 
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 rqti-1.3.0/rqti/R/TextGap.R                                                    |    5 
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 rqti-1.3.0/rqti/R/WrongFeedback.R                                              |    4 
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Permanent link

Package CodeCarbonR updated to version 0.1.1 with previous version 0.1.0 dated 2026-09-05

Title: Track Energy Consumption and Carbon Emissions of R Code
Description: Wraps the Python 'codecarbon' package via 'reticulate' to measure the energy consumption and estimated carbon emissions of R code. Provides a self-contained setup routine that installs 'codecarbon' into a dedicated conda environment, and an R-facing tracker API for measuring a block of code or a longer-running session.
Author: Beatrice Bock [aut, cre, cph] , Rachel Peterson [aut] , Dylan Van Bramer [aut]
Maintainer: Beatrice Bock <beabockm@gmail.com>

Diff between CodeCarbonR versions 0.1.0 dated 2026-09-05 and 0.1.1 dated 2026-09-21

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More information about CodeCarbonR at CRAN
Permanent link

Package tulpa updated to version 0.5.0 with previous version 0.2.0 dated 2026-09-09

Title: Templated Unified Library for Posterior Approximation in Bayesian Hierarchical Models
Description: A general-purpose engine for fitting Bayesian hierarchical models with spatial fields, temporal effects, spatially varying coefficients, and multiple inference backends. Scalable spatial structure includes Hilbert space approximate Gaussian processes (HSGP; Riutort-Mayol et al. 2023 <doi:10.1007/s11222-022-10167-2>), nearest-neighbor Gaussian processes (NNGP; Datta et al. 2016 <doi:10.1080/01621459.2015.1044091>), intrinsic conditional autoregressive models (ICAR; Besag, York, and Mollie 1991 <doi:10.1007/BF00116466>), the reparameterized Besag-York-Mollie model (BYM2; Riebler et al. 2016 <doi:10.1177/0962280216660421>), and stochastic partial differential equation fields (SPDE; Lindgren, Rue, and Lindstrom 2011 <doi:10.1111/j.1467-9868.2011.00777.x>). Temporal structure covers random walks, autoregressive processes, and Gaussian processes. Inference is tiered by correctness guarantee: exact Hamiltonian Monte Carlo with the No-U-Turn sampler, Laplace and n [...truncated...]
Author: Gilles Colling [aut, cre, cph] , Frances Y. Kuo [ctb, cph] , Stephen Joe [ctb, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between tulpa versions 0.2.0 dated 2026-09-09 and 0.5.0 dated 2026-09-21

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Package PatientLevelPrediction updated to version 6.7.0 with previous version 6.6.0 dated 2026-03-09

Title: Develop Clinical Prediction Models Using the Common Data Model
Description: A user friendly way to create patient level prediction models using the Observational Medical Outcomes Partnership Common Data Model. Given a cohort of interest and an outcome of interest, the package can use data in the Common Data Model to build a large set of features. These features can then be used to fit a predictive model with a number of machine learning algorithms. This is further described in Reps (2017) <doi:10.1093/jamia/ocy032>.
Author: Egill Fridgeirsson [aut, cre], Jenna Reps [aut], Martijn Schuemie [aut], Marc Suchard [aut], Patrick Ryan [aut], Peter Rijnbeek [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Egill Fridgeirsson <e.fridgeirsson@erasmusmc.nl>

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Package mlstats updated to version 0.1.2 with previous version 0.1.1 dated 2026-07-15

Title: Multilevel Descriptive Statistics and Data Preparation
Description: Provides tools for multilevel descriptive statistics and data preparation. Computes within-group and between-group correlations (via variance decomposition or two-level structural equation modeling), intraclass correlation coefficients (ICCs), and descriptive statistics for nested data (e.g., repeated measurements per person), supporting both frequentist (via 'lme4' or 'lavaan') and Bayesian (via 'brms') estimation. Results are formatted according to APA standards and can be exported as tables using 'gt' or 'tinytable'. Also includes functions for decomposing variables into within-group and between-group components for use in Random Effects Within-Between (REWB) models.
Author: Felix Dietrich [aut, cre, cph]
Maintainer: Felix Dietrich <mail@felix-dietrich.de>

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Package sensortowerR updated to version 2.0.0 with previous version 1.0.1 dated 2026-05-14

Title: Tidy Pipelines for the 'Sensor Tower' API
Description: Retrieves mobile app intelligence from the 'Sensor Tower' API <https://app.sensortower.com/api/docs/app_analysis>. Composes discovery, metadata, rankings, sales, audience and specialist estimates through ordinary data frames with explicit identifiers, units and error handling.
Author: Phillip Black [aut, cre]
Maintainer: Phillip Black <pblack@gameeconomistconsulting.com>

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Package rmoriebricklayer updated to version 0.5.1 with previous version 0.5.0 dated 2026-09-16

Title: Reproducible Data Capsules with Provenance and Fallback
Description: Tools for building brick-proof, reproducible, self-contained data capsules. Resolves open-data sources through the Comprehensive Knowledge Archive Network ('CKAN', <https://ckan.org/>) package_show and package_search endpoints, records and verifies provenance with Secure Hash Algorithm 256 ('SHA-256') digests and Internet Archive 'Wayback Machine' (<https://web.archive.org/>) snapshots, validates downloaded data against a pinned schema, and falls back to schema-driven synthetic data when the real source is unreachable. Run records are captured in a manifest plus a plain-language summary so any result can be traced back to its inputs. Distributional drift between a pinned capsule and a fresh fetch is tested with Kolmogorov-Smirnov, chi-square, population stability index, Jensen-Shannon divergence and 'Benford' first-digit screens, because a re-released extract can be statistically identical yet differ byte-for-byte, and a column can keep its name and type while having been s [...truncated...]
Author: Vansh Singh Ruhela [aut, cre]
Maintainer: Vansh Singh Ruhela <vsruhela@proton.me>

Diff between rmoriebricklayer versions 0.5.0 dated 2026-09-16 and 0.5.1 dated 2026-09-21

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Package ASMap readmission to version 1.1-0 with previous version 1.0-8 dated 2024-11-01

Title: Linkage Map Construction using the MSTmap Algorithm
Description: Functions for Accurate and Speedy linkage map construction, manipulation and diagnosis of Doubled Haploid, Backcross and Recombinant Inbred 'R/qtl' objects. This includes extremely fast linkage map clustering and optimal marker ordering using 'MSTmap' (see Wu et al.,2008).
Author: Julian Taylor [aut, cre], David Butler. [aut]
Maintainer: Julian Taylor <julian.taylor@adelaide.edu.au>

This is a re-admission after prior archival of version 1.0-8 dated 2024-11-01

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Package SteppedPower updated to version 0.4.0 with previous version 0.3.5 dated 2024-04-29

Title: Power Calculation for Stepped Wedge Designs
Description: Tools for power and sample size calculation as well as design diagnostics for longitudinal mixed model settings, with a focus on stepped wedge designs. All calculations are oracle estimates i.e. assume random effect variances to be known (or guessed) in advance. The method is introduced in Hussey and Hughes (2007) <doi:10.1016/j.cct.2006.05.007>, extensions are discussed in Li et al. (2020) <doi:10.1177/0962280220932962>.
Author: Philipp Mildenberger [aut, cre] , Federico Marini [ctb]
Maintainer: Philipp Mildenberger <pmildenb@uni-mainz.de>

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Package SelectionTools updated to version 26.4 with previous version 26.3 dated 2026-09-15

Title: Simulation and Data Analysis for Plant Breeders
Description: Provides tools for simulation of plant breeding programs as described, for example, by Melchinger and Frisch (2023) <doi:10.1007/s00122-023-04446-3>, prediction of segregation variance (Osthushenrich, Frisch and Herzog (2017) <doi:10.1371/journal.pone.0188839>), genomic prediction (Hofheinz and Frisch (2014) <doi:10.1534/g3.113.010025>), linkage disequilibrium based haplotype construction, and planning of marker assisted back crossing programs. It provides an integrated framework for simulation and analysis of plant breeding programs.
Author: Matthias Frisch [aut, cre], Hans Peter Maurer [ctb], Philipp Heilmann [ctb]
Maintainer: Matthias Frisch <matthias.frisch@uni-giessen.de>

Diff between SelectionTools versions 26.3 dated 2026-09-15 and 26.4 dated 2026-09-21

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Package SCCDdesign updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-03

Title: Construction of Screening Designs for Mixed Level Continuous and Categorical Factors
Description: Constructs screening designs for experiments involving continuous and categorical factors with multiple levels. The package implements methods for constructing mixed-level screening designs, involving factors with more than two levels. It also evaluates the statistical performance of screening designs throughdev power to identify active effects and Type I error rates. The package implements three methods proposed by Jones, B., Lekivetz, R., Majumdar, D. and Nachtsheim, C. (2025) <doi:10.1080/00401706.2024.2362149> for generating efficient screening designs involving three-level continuous and two-level categorical factors for even run sizes. It also includes Paley Type I and Type II constructions for conference matrices and pseudo conference matrices obtained using the coordinate exchange algorithm by Jones, B. and Nachtsheim, C. J. (2011) <doi:10.1080/00224065.2011.11917841> which are used in the development of these screening designs.
Author: Vyshna I C [aut, cre], Cini Varghese [aut, ctb], Safeela Nasrin [aut], Boyina Devi Priyanka [aut, ctb], Mohd Harun [aut, ctb], Anindita Datta [aut, ctb]
Maintainer: Vyshna I C <vyshnaic@gmail.com>

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

Title: Download and Read Brazilian Meteorological Data from INMET
Description: Automates the download and processing of historical weather data from the Brazilian National Institute of Meteorology (INMET). It provides a cached catalogue of automatic stations, resumable and validated downloads, and parsers for formatting inconsistencies in raw CSV files across different years. It removes structural artifacts, standardizes column names, parses timestamps, and returns data frames ready for analysis. Data are retrieved from <https://portal.inmet.gov.br/dadoshistoricos> and <https://apitempo.inmet.gov.br/estacoes/T>.
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

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Package rjd3toolkit updated to version 3.9.0 with previous version 3.8.0 dated 2026-07-08

Title: Utility Functions Around 'JDemetra+ 3.0'
Description: R Interface to 'JDemetra+ 3.x' (<https://github.com/jdemetra>) time series analysis software. It provides functions allowing to model time series (create outlier regressors, user-defined calendar regressors, Unobserved Components AutoRegressive Integrated Moving Average (UCARIMA) models...), to test the presence of trading days or seasonal effects and also to set specifications in pre-adjustment and benchmarking when using 'rjd3x13' or 'rjd3tramoseats'.
Author: Jean Palate [aut], Alain Quartier-la-Tente [aut] , Tanguy Barthelemy [aut, cre, art, cph], Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <timeserieswithjdemetraandr@gmail.com>

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Package NonCompart updated to version 0.8.4 with previous version 0.8.3 dated 2026-08-21

Title: Noncompartmental Analysis for Pharmacokinetic Data
Description: Conduct a noncompartmental analysis with industrial strength. Some features are 1) Use of CDISC SDTM terms 2) Automatic or manual slope selection 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method 5) Steady-state analysis over the dosing interval (AUCTAU, CAVG, CL and Vz from AUCTAU) 6) Installation/Operational Qualification (IQ/OQ) reports in pdf. After installation, qualify the package in your own environment: run IQNCA() for Installation Qualification and OQNCA() for Operational Qualification. Run writeMD5NCA() once after installation so the IQ file-integrity check passes. To approve a report, sign it digitally in Adobe Acrobat Reader (generate with sigField=TRUE, or run addSigFieldNCA(), to add click-to-sign fields), instead of printing and scanning; or use signPDFNCA()/verifyPDFNCA() for a scriptable signature. * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data [...truncated...]
Author: Kyun-Seop Bae [aut, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package GREENREG updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-29

Title: Tool for Statistical and Environmental Analysis
Description: Provides a set of accessible and automated functions to apply statistical models such as Simple Linear Regression (RLS, from the Spanish 'Regresión Lineal Simple'), Multiple Linear Regression (RLM, from the Spanish 'Regresión Lineal Múltiple'), Generalized Linear Models (GLM), and time series analysis through Autoregressive Integrated Moving Average (ARIMA) models. Designed to support teaching at the Universidad Autónoma Chapingo, it facilitates results interpretation and assumption validation through automatic graphical diagnostics. Developed as part of an undergraduate thesis at the Universidad Autónoma Chapingo, under the supervision of Dr. Julio César Buendía Espinoza (thesis advisor), with the participation of the thesis committee: Diego Ernesto Lira González (secretary), Israel Lerma Serna (member), Juan Uriel Avelar Roblero (alternate), and Elisa del Carmen Martínez Ochoa (alternate). Methods for regression and time series are based on Montgomery et al. (2021, ISBN:978-111957014 [...truncated...]
Author: Dayron Jared Bazan Guzman [aut, cre], Julio Cesar Buendia Espinoza [aut, ths] , Diego Ernesto Lira Gonzalez [ctb] , Israel Lerma Serna [ctb] , Juan Uriel Avelar Roblero [ctb] , Elisa del Carmen Martinez Ochoa [ctb]
Maintainer: Dayron Jared Bazan Guzman <dbazanguzman@gmail.com>

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Package fitdistrBayes updated to version 0.5.0 with previous version 0.2.3 dated 2026-09-09

Title: Objective Bayesian Distribution Fitting
Description: Fits common univariate distributions using registered objective Bayesian priors, including Jeffreys, reference, and maximal data information priors, and supports user-defined distributions and priors through an extensible model specification. Model-specific posterior propriety and moment conditions are checked before computation when registered or supplied. Exact simulation, marginalization, slice sampling, adaptive Metropolis, and user-supplied posterior samplers share a common interface for summaries, diagnostics, prediction, and pointwise log-likelihood evaluation. A separate interface fits independently right-censored observations using the registered complete-data priors, observed-data likelihood sampling or data augmentation, with sufficient posterior-propriety checks. Optional post-processing provides WAIC, PSIS-LOO, and DIC for observed-data likelihoods. The reference-prior framework follows Bernardo (1979) <doi:10.1111/j.2517-6161.1979.tb01066.x>.
Author: Pedro Luiz Ramos [aut, cre, cph]
Maintainer: Pedro Luiz Ramos <pedro.ramos@uc.cl>

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Package fastFGEE updated to version 0.2.2 with previous version 0.2.0 dated 2026-09-15

Title: Fast Functional Generalized Estimating Equations via a One-Step Estimator
Description: Fits functional generalized estimating equations for longitudinal functional outcomes and covariates using a one-step estimator that is fast even for large cluster sizes or large numbers of clusters. The package supports quasi-likelihoods derived from a range of distributions, with substantial simulations run for quasi-likelihoods derived from Gaussian, binomial, Poisson, negative binomial, Gamma and beta families. It supports common link functions and several working correlation structures. An optimized engine constructs cluster score and sensitivity statistics in one pass, provides coefficient-space Gaussian cross-validation, analytic-gradient fast cluster cross-validation, and an experimental sandwich-scaled working restricted quasi-likelihood selector. Internal compiled routines provide symmetric positive-definite Cholesky solves and exact tridiagonal precision operations for irregularly sampled continuous-time AR(1) working correlations. Uncertainty quantification is based on sand [...truncated...]
Author: Gabriel Loewinger [aut, cre]
Maintainer: Gabriel Loewinger <gloewinger@gmail.com>

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Package epidatr updated to version 1.4.0 with previous version 1.3.0 dated 2026-08-28

Title: Client for Delphi's 'Epidata' API
Description: The Delphi 'Epidata' API provides real-time access to epidemiological surveillance data for influenza, 'COVID-19', and other diseases for the USA at various geographical resolutions, both from official government sources such as the Center for Disease Control (CDC) and Google Trends and private partners such as Facebook and Change 'Healthcare'. It is built and maintained by the Carnegie Mellon University Delphi research group. To cite this API: David C. Farrow, Logan C. Brooks, Aaron 'Rumack', Ryan J. 'Tibshirani', 'Roni' 'Rosenfeld' (2015). Delphi 'Epidata' API. <https://github.com/cmu-delphi/delphi-epidata>.
Author: Logan Brooks [aut], Dmitry Shemetov [aut], Samuel Gratzl [aut], David Weber [ctb, cre], Nat DeFries [ctb], Alex Reinhart [ctb], Daniel J. McDonald [ctb], Kean Ming Tan [ctb], Will Townes [ctb], George Haff [ctb], Kathryn Mazaitis [ctb]
Maintainer: David Weber <davidweb@andrew.cmu.edu>

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Package EDE updated to version 0.2.0 with previous version 0.1.0 dated 2026-08-07

Title: Extinction Date Estimation from Sighting Records
Description: Estimates the historic date of extinction of a species from a time-ordered record of sighting events. Given a table of sighting counts per year, computes extinction date estimators from the sighting-record literature: optimal linear estimation and its Weibull extreme-value persistence test (Roberts & Solow, 2003; Solow, 2005), constant-rate and declining-rate persistence tests (Solow, 1993), a sighting-rate persistence test comparable across records with different observation periods (McInerny, Roberts, Davy & Cribb, 2006), a classical confidence interval on the end of a temporal range (Strauss & Sadler, 1989), a truncation-point extrapolation (Robson & Whitlock, 1964), and a combinatorial persistence test based on inclusion-exclusion over sighting-gap occupancy (Burgman, Grimson & Ferson, 1995). Also implements a nonparametric endpoint test (Solow & Roberts, 2003), a sighting-interval trend index (Jarić & Ebenhard, 2010), and reliability-adjusted inference [...truncated...]
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

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Package charport updated to version 0.1.1 with previous version 0.1.0 dated 2026-09-17

Title: ALTREP String Interoperability
Description: Provides infrastructure for interoperable ALTREP character vectors. Producers of ALTREP string classes can register access methods, allowing consumers to read supported character vectors through a common interface without materializing them as ordinary R strings. Also provides 'charvec', a reference ALTREP string implementation backed by stable memory slices, with support for efficient and multithreaded construction.
Author: Travers Ching [aut, cre, cph], R Consortium [fnd]
Maintainer: Travers Ching <traversc@gmail.com>

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Package censobr updated to version 1.0.0 with previous version 0.6.0 dated 2026-07-29

Title: Download Data from Brazil's Population Census
Description: Easy access to data from Brazil's population censuses. The package provides a simple and efficient way to download and read the data sets and the documentation of all the population censuses taken in and after 1960 in the country. The package is built on top of the 'Arrow' platform <https://arrow.apache.org/docs/r/>, which allows users to work with larger-than-memory census data using 'dplyr' familiar functions. <https://arrow.apache.org/docs/r/articles/arrow.html#analyzing-arrow-data-with-dplyr>.
Author: Rafael H. M. Pereira [aut, cre] , Rogerio J. Barbosa [aut] , Pedro Herculano Souza [ctb], Diego Rabatone Oliveira [ctb], Neal Richardson [ctb], Haydee Svab [ctb], Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package predhy updated to version 2.1.3 with previous version 2.1.2 dated 2025-04-05

Title: Genomic Prediction of Hybrid Performance
Description: Performs genomic prediction of hybrid performance using eight statistical methods including GBLUP, BayesB, RKHS, PLS, LASSO, EN, LightGBM and XGBoost along with additive and additive-dominance models. Users are able to incorporate parental phenotypic information in all methods based on their specific needs. (Xu S et al(2017) <doi:10.1534/g3.116.038059>; Xu Y et al (2021) <doi: 10.1111/pbi.13458>).
Author: Yang Xu [aut, cre], Guangning Yu [aut], Yanru Cui [aut], Shizhong Xu [aut], Chenwu Xu [aut]
Maintainer: Yang Xu <xuyang_89@126.com>

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Package jordan updated to version 1.0-6-1 with previous version 1.0-6 dated 2024-07-04

Title: A Suite of Routines for Working with Jordan Algebras
Description: A Jordan algebra is an algebraic object originally designed to study observables in quantum mechanics. Jordan algebras are commutative but non-associative; they satisfy the Jordan identity. The package follows the ideas and notation of K. McCrimmon (2004, ISBN:0-387-95447-3) "A Taste of Jordan Algebras". To cite the package in publications, please use Hankin (2023) <doi:10.48550/arXiv.2303.06062>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package pretestcad updated to version 1.2.0 with previous version 1.1.0 dated 2025-09-03

Title: Pretest Probability for Coronary Artery Disease
Description: An application to calculate a patient's pretest probability (PTP) for obstructive Coronary Artery Disease (CAD) from a collection of guidelines or studies. Guidelines usually comes from the American Heart Association (AHA), American College of Cardiology (ACC) or European Society of Cardiology (ESC). Examples of PTP scores that comes from studies are the 2020 Winther et al. basic, Risk Factor-weighted Clinical Likelihood (RF-CL) and Coronary Artery Calcium Score-weighted Clinical Likelihood (CACS-CL) models <doi:10.1016/j.jacc.2020.09.585>, 2019 Reeh et al. basic and clinical models <doi:10.1093/eurheartj/ehy806> and 2017 Fordyce et al. PROMISE Minimal-Risk Tool <doi:10.1001/jamacardio.2016.5501>. As diagnosis of CAD involves a costly and invasive coronary angiography procedure for patients, having a reliable PTP for CAD helps doctors to make better decisions during patient management. This ensures high risk patients can be diagnosed and treated early for CAD while [...truncated...]
Author: Jeremy Selva [aut, cre]
Maintainer: Jeremy Selva <jeremy1189.jjs@gmail.com>

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Package interflex updated to version 1.4.1 with previous version 1.4.0 dated 2026-04-10

Title: Estimation, Diagnostics and Visualization of Conditional Marginal Effects
Description: Performs estimation, diagnostics, and visualization of conditional marginal effects and group average treatment effects of a treatment on an outcome across different values of a moderator. Optionally integrates with the 'mlr3extralearners' package for additional machine learning backends compatible with the double machine learning estimators. 'mlr3extralearners' is not on CRAN but can be obtained from <https://github.com/mlr-org/mlr3extralearners>.
Author: Yiqing Xu [aut, cre], Jens Hainmueller [aut], Jonathan Mummolo [aut], Tianzhu Qin [aut], Jiehan Liu [aut], Ziyi Liu [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

Diff between interflex versions 1.4.0 dated 2026-04-10 and 1.4.1 dated 2026-09-21

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Package onls updated to version 0.2 with previous version 0.1-4 dated 2025-09-01

Title: Orthogonal Nonlinear Least-Squares Regression
Description: Fits n-dimensional data by means of orthogonal nonlinear least-squares using Levenberg-Marquardt minimization and provides functionality for fit diagnostics and plotting. Delivers the same results as the 'ODRPACK' Fortran implementation described in Boggs et al. (1989) <doi:10.1145/76909.76913>, but is implemented in pure R.
Author: Andrej-Nikolai Spiess [aut, cre]
Maintainer: Andrej-Nikolai Spiess <draspiess@gmail.com>

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Package weibullness updated to version 2.26.9 with previous version 1.24.1 dated 2024-01-09

Title: Goodness-of-Fit Test for Weibull Distribution (Weibullness)
Description: Conducts a goodness-of-fit test for the Weibull distribution (referred to as the weibullness test) and furnishes parameter estimations for both the two-parameter and three-parameter Weibull distributions. Notably, the threshold parameter is derived through correlation from the Weibull plot. Additionally, this package conducts goodness-of-fit assessments for the exponential, Gumbel, and inverse Weibull distributions, accompanied by parameter estimations. For more details, see Park (2017) <doi:10.23055/ijietap.2017.24.4.2848>, Park (2018) <doi:10.1155/2018/6056975>, and Park (2023) <doi:10.3390/math11143156>. This work was supported by the National Research Foundation of Korea (NRF) grants funded by the Korea government (No. 2022R1A2C1091319).
Author: Chanseok Park [aut, cre]
Maintainer: Chanseok Park <statpnu@gmail.com>

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More information about weibullness at CRAN
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