Wed, 19 Nov 2025

Package gsDesign2 updated to version 1.1.7 with previous version 1.1.6 dated 2025-09-11

Title: Group Sequential Design with Non-Constant Effect
Description: The goal of 'gsDesign2' is to enable fixed or group sequential design under non-proportional hazards. To enable highly flexible enrollment, time-to-event and time-to-dropout assumptions, 'gsDesign2' offers piecewise constant enrollment, failure rates, and dropout rates for a stratified population. This package includes three methods for designs: average hazard ratio, weighted logrank tests in Yung and Liu (2019) <doi:10.1111/biom.13196>, and MaxCombo tests. Substantial flexibility on top of what is in the 'gsDesign' package is intended for selecting boundaries.
Author: Keaven Anderson [aut], Yujie Zhao [aut, cre], Yilong Zhang [aut], John Blischak [aut], Yihui Xie [aut], Nan Xiao [aut], Jianxiao Yang [aut], Amin Shirazi [ctb], Ruixue Wang [ctb], Yi Cui [ctb], Ping Yang [ctb], Xin Tong Li [ctb], Chenxiang Li [ctb], [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

Diff between gsDesign2 versions 1.1.6 dated 2025-09-11 and 1.1.7 dated 2025-11-19

 DESCRIPTION                                                            |   10 
 MD5                                                                    |  114 
 NAMESPACE                                                              |   10 
 NEWS.md                                                                |   19 
 R/ahr.R                                                                |    6 
 R/as_gt.R                                                              |   70 
 R/as_rtf.R                                                             |   11 
 R/expected_event.R                                                     |   21 
 R/expected_time.R                                                      |    1 
 R/fixed_design_ahr.R                                                   |   16 
 R/fixed_design_fh.R                                                    |   24 
 R/fixed_design_lf.R                                                    |   25 
 R/fixed_design_maxcombo.R                                              |   32 
 R/fixed_design_mb.R                                                    |   21 
 R/fixed_design_milestone.R                                             |   22 
 R/fixed_design_rd.R                                                    |   20 
 R/fixed_design_rmst.R                                                  |   23 
 R/gs_bound_summary.R                                                   |    6 
 R/gs_design_ahr.R                                                      |   61 
 R/gs_design_combo.R                                                    |   20 
 R/gs_design_rd.R                                                       |   17 
 R/gs_design_wlr.R                                                      |   22 
 R/gs_power_ahr.R                                                       |   21 
 R/gs_power_combo.R                                                     |   20 
 R/gs_power_npe.R                                                       |   15 
 R/gs_power_rd.R                                                        |   22 
 R/gs_power_wlr.R                                                       |   21 
 R/gs_spending_bound.R                                                  |    7 
 R/gs_spending_combo.R                                                  |    3 
 R/gs_update_ahr.R                                                      |    9 
 R/print.R                                                              |only
 R/pw_info.R                                                            |   13 
 R/summary.R                                                            |   35 
 R/text_summary.R                                                       |   40 
 R/to_integer.R                                                         |   62 
 R/utils.R                                                              |   13 
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 man/ahr.Rd                                                             |    2 
 man/as_gt.Rd                                                           |    8 
 man/as_rtf.Rd                                                          |    8 
 man/expected_event.Rd                                                  |   18 
 man/fixed_design.Rd                                                    |    6 
 man/gs_design_ahr.Rd                                                   |   24 
 man/gs_design_combo.Rd                                                 |    6 
 man/gs_design_wlr.Rd                                                   |   24 
 man/gs_power_ahr.Rd                                                    |   26 
 man/gs_power_combo.Rd                                                  |    6 
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 man/gs_power_wlr.Rd                                                    |   24 
 man/pw_info.Rd                                                         |    2 
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Package pacu updated to version 0.1.74 with previous version 0.1.72 dated 2025-09-26

Title: Precision Agriculture Computational Utilities
Description: Support for a variety of commonly used precision agriculture operations. Includes functions to download and process raw satellite images from Sentinel-2 <https://documentation.dataspace.copernicus.eu/APIs/OData.html>. Includes functions that download vegetation index statistics for a given period of time, without the need to download the raw images <https://documentation.dataspace.copernicus.eu/APIs/SentinelHub/Statistical.html>. There are also functions to download and visualize weather data in a historical context. Lastly, the package also contains functions to process yield monitor data. These functions can build polygons around recorded data points, evaluate the overlap between polygons, clean yield data, and smooth yield maps.
Author: dos Santos Caio [aut, cre], Miguez Fernando [aut]
Maintainer: dos Santos Caio <clsantos@iastate.edu>

Diff between pacu versions 0.1.72 dated 2025-09-26 and 0.1.74 dated 2025-11-19

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 pacu-0.1.74/pacu/MD5                                                                           |   28 +++++-----
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 pacu-0.1.74/pacu/R/yield.R                                                                     |   14 +++--
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Package imfapi updated to version 0.1.2 with previous version 0.1.1 dated 2025-10-30

Title: Econdataverse 'IMF Data API' Client
Description: Provides user-friendly functions for programmatic access to macroeconomic data from the International Monetary Fund's 'SDMX 3.0 IMF Data API' <https://data.imf.org/en/Resource-Pages/IMF-API>.
Author: Teal Insights [cre, cph], Christopher C. Smith [aut], Christoph Scheuch [ctb]
Maintainer: Teal Insights <lte@tealinsights.com>

Diff between imfapi versions 0.1.1 dated 2025-10-30 and 0.1.2 dated 2025-11-19

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Package geoarrow updated to version 0.4.1 with previous version 0.4.0 dated 2025-09-21

Title: Extension Types for Spatial Data for Use with 'Arrow'
Description: Provides extension types and conversions to between R-native object types and 'Arrow' columnar types. This includes integration among the 'arrow', 'nanoarrow', 'sf', and 'wk' packages such that spatial metadata is preserved wherever possible. Extension type implementations ensure first-class geometry data type support in the 'arrow' and 'nanoarrow' packages.
Author: Dewey Dunnington [aut, cre] , Anthony North [ctb], Apache Software Foundation [cph], Ulf Adams [cph], Daniel Lemire [cph], Joao Paulo Magalhaes [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between geoarrow versions 0.4.0 dated 2025-09-21 and 0.4.1 dated 2025-11-19

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Package bidux updated to version 0.3.3 with previous version 0.3.2 dated 2025-10-28

Title: Behavioral Insight Design: A Toolkit for Integrating Behavioral Science in UI/UX Design
Description: Provides a framework and toolkit to guide R dashboard developers in implementing the Behavioral Insight Design (BID) framework. The package offers functions for documenting each of the five stages (Interpret, Notice, Anticipate, Structure, and Validate), along with a comprehensive concept dictionary. Works with both 'shiny' applications and 'Quarto' dashboards.
Author: Jeremy Winget [aut, cre]
Maintainer: Jeremy Winget <contact@jrwinget.com>

Diff between bidux versions 0.3.2 dated 2025-10-28 and 0.3.3 dated 2025-11-19

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Package pdxTrees (with last version 0.4.0) was removed from CRAN

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

2020-08-17 0.4.0

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Package TwoRegression readmission to version 1.1.1 with previous version 1.0.0 dated 2022-09-05

Title: Develop and Apply Two-Regression Algorithms
Description: Facilitates development and application of two-regression algorithms for research-grade wearable devices. It provides an easy way for users to access previously-developed algorithms, and also to develop their own. Initial motivation came from Hibbing PR, LaMunion SR, Kaplan AS, & Crouter SE (2018) <doi:10.1249/MSS.0000000000001532>. However, other algorithms are now supported. Please see the associated references in the package documentation for full details of the algorithms that are supported.
Author: Paul R. Hibbing [aut, cre], Vincent T. van Hees [ctb]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>

This is a re-admission after prior archival of version 1.0.0 dated 2022-09-05

Diff between TwoRegression versions 1.0.0 dated 2022-09-05 and 1.1.1 dated 2025-11-19

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 TwoRegression-1.1.1/TwoRegression/DESCRIPTION                                            |   14 
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Package Sojourn readmission to version 1.2.1 with previous version 1.1.0 dated 2021-05-07

Title: Apply Sojourn Methods for Processing ActiGraph Accelerometer Data
Description: Provides a simple way for utilizing Sojourn methods for accelerometer processing, as detailed in Lyden K, Keadle S, Staudenmayer J, & Freedson P (2014) <doi:10.1249/MSS.0b013e3182a42a2d>, Ellingson LD, Schwabacher IJ, Kim Y, Welk GJ, & Cook DB (2016) <doi:10.1249/MSS.0000000000000915>, and Hibbing PR, Ellingson LD, Dixon PM, & Welk GJ (2018) <doi:10.1249/MSS.0000000000001486>.
Author: Paul R. Hibbing [aut, cre], Kate Lyden [aut], Isaac J. Schwabacher [aut]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>

This is a re-admission after prior archival of version 1.1.0 dated 2021-05-07

Diff between Sojourn versions 1.1.0 dated 2021-05-07 and 1.2.1 dated 2025-11-19

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Package PCRedux updated to version 1.2-1 with previous version 1.2-0 dated 2025-06-13

Title: Quantitative Polymerase Chain Reaction (qPCR) Data Mining and Machine Learning Toolkit as Described in Burdukiewicz (2022) <doi:10.21105/Joss.04407>
Description: Extracts features from amplification curve data of quantitative Polymerase Chain Reactions (qPCR) according to Pabinger et al. 2014 <doi:10.1016/j.bdq.2014.08.002> for machine learning purposes. Helper functions prepare the amplification curve data for processing as functional data (e.g., Hausdorff distance) or enable the plotting of amplification curve classes (negative, ambiguous, positive). The hookreg() and hookregNL() functions of Burdukiewicz et al. (2018) <doi:10.1016/j.bdq.2018.08.001> can be used to predict amplification curves with an hook effect-like curvature. The pcrfit_single() function can be used to extract features from an amplification curve.
Author: Stefan Roediger [aut] , Michal Burdukiewicz [aut] , Andrej-Nikolai Spiess [cre, aut] , Konstantin A. Blagodatskikh [aut] , Dominik Rafacz [ctb]
Maintainer: Andrej-Nikolai Spiess <draspiess@gmail.com>

Diff between PCRedux versions 1.2-0 dated 2025-06-13 and 1.2-1 dated 2025-11-19

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New package IBLM with initial version 1.0.1
Package: IBLM
Title: Interpretable Boosted Linear Models
Version: 1.0.1
Description: Implements Interpretable Boosted Linear Models (IBLMs). These combine a conventional generalized linear model (GLM) with a machine learning component, such as XGBoost. The package also provides tools within for explaining and analyzing these models. For more details see Gawlowski and Wang (2025) <https://ifoa-adswp.github.io/IBLM/reference/figures/iblm_paper.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: cli, dplyr, fastDummies, ggExtra, ggplot2, purrr, scales, statmod, stats, utils, withr, xgboost
Suggests: testthat (>= 3.0.0)
URL: https://ifoa-adswp.github.io/IBLM/, https://github.com/IFoA-ADSWP/IBLM
BugReports: https://github.com/IFoA-ADSWP/IBLM/issues
NeedsCompilation: no
Packaged: 2025-11-15 20:02:43 UTC; paulb
Author: Karol Gawlowski [aut, cre, cph], Paul Beard [aut]
Maintainer: Karol Gawlowski <Karol.Gawlowski@citystgeorges.ac.uk>
Repository: CRAN
Date/Publication: 2025-11-19 19:50:25 UTC

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New package EcoCleanR with initial version 1.0.1
Package: EcoCleanR
Title: Automated and Controlled Extraction, Cleaning, and Processing of Occurrence Data for Generating Biogeographic Ranges of Marine Organisms
Version: 1.0.1
Description: Provides step-by-step automation for integrating biodiversity data from multiple online aggregators, merging and cleaning datasets while addressing challenges such as taxonomic inconsistencies, georeferencing issues, and spatial or environmental outliers. Includes functions to extract environmental data and to define the biogeographic ranges in which species are most likely to occur.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rgbif, robis, ridigbio, rmarkdown, testthat (>= 3.0.0)
Imports: dplyr, geodata, geosphere, ggplot2, mregions2, patchwork, rlang, sdmpredictors, sf, taxize, terra, tidyr
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-14 18:27:10 UTC; sonip
Author: Priyanka Soni [aut, cre] , Austin Hendy [aut], David Bottjer [aut], Vijay Barve [ctb]
Maintainer: Priyanka Soni <sonip@usc.edu>
Repository: CRAN
Date/Publication: 2025-11-19 19:30:02 UTC

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New package CensRegSMSN with initial version 0.0.1
Package: CensRegSMSN
Title: Censored Linear Regression Models under Heavy‑tailed Distributions
Version: 0.0.1
Maintainer: Yessenia Alvarez Gil <yessenia.alvarez@ufpe.br>
Description: Functions for fitting univariate linear regression models under Scale Mixtures of Skew-Normal (SMSN) distributions, considering left, right or interval censoring and missing responses. Estimation is performed via an EM-type algorithm. Includes selection criteria, sample generation and envelope. For details, see Gil, Y.A., Garay, A.M., and Lachos, V.H. (2025) <doi:10.1007/s10260-025-00797-x>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: mvtnorm, mnormt, cubature, ggplot2
NeedsCompilation: no
Packaged: 2025-11-15 02:01:56 UTC; Usuario
Author: Yessenia Alvarez Gil [aut, cre], Aldo M. Garay [aut], Victor H. Lachos [aut]
Repository: CRAN
Date/Publication: 2025-11-19 19:40:12 UTC

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Package adbcsqlite updated to version 0.21.0 with previous version 0.20.0 dated 2025-09-16

Title: 'Arrow' Database Connectivity ('ADBC') 'SQLite' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'SQLite' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between adbcsqlite versions 0.20.0 dated 2025-09-16 and 0.21.0 dated 2025-11-19

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New package agrobox with initial version 0.1.0
Package: agrobox
Title: Data Visualization and Statistical Tools for Agroindustrial Experiments
Version: 0.1.0
Maintainer: Joaquin Alejandro Salinas Angeles <joaquinsa03@gmail.com>
Description: Set of functions to create clear graphics and run common statistical analyses for agricultural experiments (ANOVA with post-hoc tests such as Tukey HSD and Duncan MRR, coefficient of variation, and simple power calculations), streamlining exploratory analysis and reporting. Functions build on 'ggplot2' and base 'stats' and follow methods widely used in agronomy (field trials, plant breeding). Key references include Tukey (1949) <doi:10.2307/3001913>, Duncan (1955) <doi:10.2307/3001478>, Cohen (1988, ISBN:9781138892899); see also 'agricolae' <https://CRAN.R-project.org/package=agricolae> and Wickham (2016, ISBN:9783319242750) for 'ggplot2'. Versión en español: Conjunto de funciones para generar gráficos claros y ejecutar análisis habituales en ensayos agrícolas (ANOVA con pruebas post-hoc como Tukey HSD y Duncan MRR, coeficiente de variación y cálculos simples de potencia), facilitando el análisis exploratorio y la elaboración de reportes. Los métodos implementados se [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en, es
Depends: R (>= 3.5.0)
Imports: dplyr, ggplot2, tidyr, stringr, agricolae, stats, pwr, rlang
Suggests: testthat (>= 3.0.0)
URL: https://github.com/Joa3aquin50/agrobox
BugReports: https://github.com/Joa3aquin50/agrobox/issues
NeedsCompilation: no
Packaged: 2025-11-15 01:39:16 UTC; JOAQUIN SALINAS
Author: Joaquin Alejandro Salinas Angeles [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-19 19:40:02 UTC

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Package adbcpostgresql updated to version 0.21.0 with previous version 0.20.0 dated 2025-09-16

Title: 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between adbcpostgresql versions 0.20.0 dated 2025-09-16 and 0.21.0 dated 2025-11-19

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New package sodaR with initial version 0.1.0
Package: sodaR
Title: Download or Upload 'Socrata' Data Sets
Description: Provides easier interaction with 'Socrata' open data portals <https://dev.socrata.com>. Users can provide a 'Socrata' data set resource URL, or a 'Socrata' Open Data API (SODA) web query, or a 'Socrata' "human-friendly" URL, returns an R data frame. Converts dates to 'POSIX' format and manages throttling by 'Socrata'. Users can upload data to 'Socrata' portals directly from R.
Version: 0.1.0
Date: 2025-11-08
Depends: R (>= 3.3.0)
Imports: httr (>= 1.0.0), jsonlite (>= 0.9.16), mime (>= 0.3), data.table (>= 1.10.0)
Suggests: testthat (>= 0.10.0), roxygen2 (>= 4.1.0), readr (>= 0.2.2), knitr, rmarkdown
License: MIT + file LICENSE
URL: https://github.com/JordanMPDS/sodaR
BugReports: https://github.com/JordanMPDS/sodaR/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-14 05:13:32 UTC; jordan
Author: Jordan Martinetti [aut, cre], Hugh Devlin [aut], Tom Schenk Jr [aut], Gene Leynes [ctb], Nick Lucius [ctb], John Malc [ctb], Mark Silverber [ctb], Peter Schmeideskamp [ctb]
Maintainer: Jordan Martinetti <jordan@jordanmartinetti.com>
Repository: CRAN
Date/Publication: 2025-11-19 19:00:02 UTC

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New package mappestRisk with initial version 0.1.2
Package: mappestRisk
Title: Create Maps Forecasting Risk of Pest Occurrence
Version: 0.1.2
Description: There are three different modules: (1) model fitting and selection using a set of the most commonly used equations describing developmental responses to temperature helped by already existing R packages ('rTPC') and nonlinear regression model functions from 'nls.multstart' (Padfield et al. 2021, <doi:10.1111/2041-210X.13585>), with visualization of model predictions to guide ecological criteria for model selection; (2) calculation of suitability thermal limits, which consist on a temperature interval delimiting the optimal performance zone or suitability; and (3) climatic data extraction and visualization inspired on previous research (Taylor et al. 2019, <doi:10.1111/1365-2664.13455>), with either exportable rasters, static map images or html, interactive maps.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/EcologyR/mappestRisk, https://ecologyr.github.io/mappestRisk/
BugReports: https://github.com/EcologyR/mappestRisk/issues
Depends: R (>= 4.3.0)
LazyData: true
Suggests: covr, leaflet, testthat (>= 3.0.0)
Imports: dplyr, geodata, ggplot2, khroma, nls.multstart, progress, purrr, rTPC, terra, tidyr
NeedsCompilation: no
Packaged: 2025-11-14 12:44:16 UTC; dario
Author: Dario San-Segundo Molina [aut, cre, cph] , A. Marcia Barbosa [aut, cph] , Antonio Jesus Perez-Luque [aut, cph] , Francisco Rodriguez-Sanchez [aut, cph]
Maintainer: Dario San-Segundo Molina <dario.ssm2@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-19 18:20:02 UTC

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New package fcall with initial version 0.1.5
Package: fcall
Title: Parse Farm Credit Administration Call Report Data into Tidy Data Frames
Version: 0.1.5
Description: Parses financial condition and performance data (Call Reports) for institutions in the United States Farm Credit System. Contains functions for downloading files from the Farm Credit Administration (FCA) Call Report archive website and reading the files into tidy data frame format. The archive website can be found at <https://www.fca.gov/bank-oversight/call-report-data-for-download>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: cli, dplyr, glue, purrr, rlang, stringr, tibble, tidyr, utils, waldo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
URL: https://ketchbrookanalytics.github.io/fcall/, https://github.com/ketchbrookanalytics/fcall
BugReports: https://github.com/ketchbrookanalytics/fcall/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-14 15:24:52 UTC; root
Author: Michael Thomas [aut, cre], Ivan Millanes [aut], Ketchbrook Analytics [cph, fnd]
Maintainer: Michael Thomas <mthomas@ketchbrookanalytics.com>
Repository: CRAN
Date/Publication: 2025-11-19 19:00:07 UTC

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New package fairGATE with initial version 0.1.0
Package: fairGATE
Title: Fair Gated Algorithm for Targeted Equity
Version: 0.1.0
Description: Tools for training and analysing fairness-aware gated neural networks for subgroup-aware prediction and interpretation in clinical datasets. Methods draw on prior work in mixture-of-experts neural networks by Jordan and Jacobs (1994) <doi:10.1007/978-1-4471-2097-1_113>, fairness-aware learning by Hardt, Price, and Srebro (2016) <doi:10.48550/arXiv.1610.02413>, and personalised treatment prediction for depression by Iniesta, Stahl, and McGuffin (2016) <doi:10.1016/j.jpsychires.2016.03.016>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tibble, ggplot2, readr, pROC, magrittr, tidyr, purrr, utils, stats, ggalluvial, tidyselect, rlang
Suggests: knitr, torch, testthat, readxl, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/rhysholland/FairGATE
BugReports: https://github.com/rhysholland/FairGate/issues
Depends: R (>= 4.1.0)
SystemRequirements: Optional 'LibTorch' backend; install via torch::install_torch().
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-14 12:36:41 UTC; rhysholland
Author: Rhys Holland [aut, cre]
Maintainer: Rhys Holland <rhys.holland@icloud.com>
Repository: CRAN
Date/Publication: 2025-11-19 19:00:14 UTC

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Package xkcd readmission to version 0.1.0 with previous version 0.0.6 dated 2018-07-11

Title: Plotting 'ggplot2' Graphics in an 'XKCD' Style
Description: Provides custom geoms and themes to create charts and graphics in the distinctive, hand-drawn 'XKCD' webcomic style using the 'ggplot2' framework. The package utilizes custom layers for jittered lines, segments, circles, and figures, and includes a theme that supports the necessary 'XKCD' font.
Author: Emilio Torres-Manzanera [aut], Enrique Toledo [ctb, cre]
Maintainer: Enrique Toledo <enriquetoledo@gmail.com>

This is a re-admission after prior archival of version 0.0.6 dated 2018-07-11

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New package SQUIRE with initial version 1.0.0
Package: SQUIRE
Title: Statistical Quality-Assured Integrated Response Estimation
Version: 1.0.0
Author: Richard A. Feiss [aut, cre]
Maintainer: Richard A. Feiss <feiss026@umn.edu>
Description: Implements statistically validated biological parameter optimization that combines automated parameter type detection with rigorous statistical quality assurance. Unlike conventional optimizers that fit parameters to any data, 'SQUIRE' first validates whether statistically significant biological effects exist before proceeding with parameter estimation. Uses trust region methods from Conn et al. (2000) <doi:10.1137/S1052623497325107>, ANOVA-based validation following Fisher (1925) <doi:10.1007/978-1-4612-4380-9_6>, and effect size calculations per Cohen (1988, ISBN:0805802835). Automatically distinguishes rate-based, positive-constrained, and unconstrained variables, applying geometry-appropriate optimization methods while preventing over-fitting to noise through built-in statistical validation, effect size assessment, and data quality requirements. Designed for complex biological and environmental models including germination studies, dose-response curves, and survival ana [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-14 00:12:06 UTC; feiss026
Repository: CRAN
Date/Publication: 2025-11-19 18:00:02 UTC

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Package paws.common updated to version 0.8.6 with previous version 0.8.5 dated 2025-07-25

Title: Paws Low-Level Amazon Web Services API
Description: Functions for making low-level API requests to Amazon Web Services <https://aws.amazon.com>. The functions handle building, signing, and sending requests, and receiving responses. They are designed to help build higher-level interfaces to individual services, such as Simple Storage Service (S3).
Author: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

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Package hicream updated to version 0.0.2 with previous version 0.0.1 dated 2025-07-25

Title: HIC diffeREntial Analysis Method
Description: Perform Hi-C data differential analysis based on pixel-level differential analysis and a post hoc inference strategy to quantify signal in clusters of pixels. Clusters of pixels are obtained through a connectivity-constrained two-dimensional hierarchical clustering.
Author: Elise Jorge [aut, cre], Sylvain Foissac [aut] , Toby Hocking [aut] , Pierre Neuvial [aut] , Nathalie Vialaneix [aut] , Gilles Blanchard [ctb], Guillermo Durand [ctb] , Nicolas Enjalbert-Courrech [ctb], Etienne Roquain [ctb]
Maintainer: Elise Jorge <elise.jorge@inrae.fr>

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Package GDPuc updated to version 1.6.0 with previous version 1.0.4 dated 2024-09-04

Title: Easily Convert GDP Data
Description: Convert GDP time series data from one unit to another. All common GDP units are included, i.e. current and constant local currency units, US$ via market exchange rates and international dollars via purchasing power parities.
Author: Johannes Koch [aut, cre]
Maintainer: Johannes Koch <jokoch@pik-potsdam.de>

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Package manynet updated to version 1.7.0 with previous version 1.6.5 dated 2025-10-24

Title: Many Ways to Make, Modify, Mark, and Measure Myriad Networks
Description: Many tools for making, modifying, marking, measuring, and motifs and memberships of 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] , Henrique Sposito [ctb] , Christian Steglich [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package CoxPlus updated to version 1.5.7 with previous version 1.5.6 dated 2025-11-19

Title: Cox Regression (Proportional Hazards Model) with Multiple Causes and Mixed Effects
Description: Extends the Cox model to events with more than one causes. Also supports random and fixed effects, tied events, and time-varying variables. Model details are provided in Peng et al. (2018) <doi:10.1509/jmr.14.0643>.
Author: Jing Peng [aut, cre]
Maintainer: Jing Peng <jing.peng@uconn.edu>

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Package rbmiUtils (with last version 0.1.6) was removed from CRAN

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

2025-09-13 0.1.6
2025-05-23 0.1.4

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2025-11-19 1.14.6.8
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Package sparklyr updated to version 1.9.3 with previous version 1.9.2 dated 2025-10-05

Title: R Interface to Apache Spark
Description: R interface to Apache Spark, a fast and general engine for big data processing, see <https://spark.apache.org/>. This package supports connecting to local and remote Apache Spark clusters, provides a 'dplyr' compatible back-end, and provides an interface to Spark's built-in machine learning algorithms.
Author: Javier Luraschi [aut], Kevin Kuo [aut] , Kevin Ushey [aut], JJ Allaire [aut], Samuel Macedo [ctb], Hossein Falaki [aut], Lu Wang [aut], Andy Zhang [aut], Yitao Li [aut] , Jozef Hajnala [ctb], Maciej Szymkiewicz [ctb] , Wil Davis [ctb], Edgar Ruiz [au [...truncated...]
Maintainer: Edgar Ruiz <edgar@rstudio.com>

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Package qtl updated to version 1.72 with previous version 1.70 dated 2024-08-21

Title: Tools for Analyzing QTL Experiments
Description: Analysis of experimental crosses to identify genes (called quantitative trait loci, QTLs) contributing to variation in quantitative traits. Broman et al. (2003) <doi:10.1093/bioinformatics/btg112>.
Author: Karl W Broman [aut, cre] , Hao Wu [aut], Gary Churchill [ctb] , Saunak Sen [ctb] , Danny Arends [ctb] , Robert Corty [ctb], Timothee Flutre [ctb], Ritsert Jansen [ctb], Pjotr Prins [ctb] , Lars Ronnegard [ctb], Rohan Shah [ctb], Laura Shannon [ctb], [...truncated...]
Maintainer: Karl W Broman <broman@wisc.edu>

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Package pregnancy updated to version 0.2.0 with previous version 0.1.1 dated 2025-09-14

Title: Calculate and Track Dates and Medications During Pregnancy
Description: Provides functionality for calculating pregnancy-related dates and tracking medications during pregnancy and fertility treatment. Calculates due dates from various starting points including last menstrual period and IVF (In Vitro Fertilisation) transfer dates, determines pregnancy progress on any given date, and identifies when specific pregnancy weeks are reached. Includes medication tracking capabilities for individuals undergoing fertility treatment or during pregnancy, allowing users to monitor remaining doses and quantities needed over specified time periods. Designed for those tracking their own pregnancies or supporting partners through the process, making use of options to personalise output messages. For details on due date calculations, see <https://www.acog.org/clinical/clinical-guidance/committee-opinion/articles/2017/05/methods-for-estimating-the-due-date>.
Author: Ella Kaye [aut, cre, cph]
Maintainer: Ella Kaye <ella.kaye@gmail.com>

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Package nhdplusTools updated to version 1.4.0 with previous version 1.3.2 dated 2025-06-10

Title: NHDPlus Tools
Description: Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.
Author: David Blodgett [aut, cre] , Mike Johnson [aut] , Marc Weber [ctb] , Josh Erickson [ctb], Lauren Koenig [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package gosset updated to version 1.5.1 with previous version 1.4 dated 2024-12-05

Title: Tools for Data Analysis in Experimental Agriculture
Description: Methods to analyse experimental agriculture data, from data synthesis to model selection and visualisation. The package is named after W.S. Gosset aka ‘Student’, a pioneer of modern statistics in small sample experimental design and analysis.
Author: Kaue de Sousa [aut, cre] , Jacob van Etten [aut] , David Brown [aut] , Jonathan Steinke [aut] , Joost van Heerwaarden [aut]
Maintainer: Kaue de Sousa <desousa.kaue@gmail.com>

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Package cotram updated to version 0.6-0 with previous version 0.5-3 dated 2025-10-08

Title: Count Transformation Models
Description: Count transformation models featuring parameters interpretable as discrete hazard ratios, odds ratios, reverse-time discrete hazard ratios, or transformed expectations. An appropriate data transformation for a count outcome and regression coefficients are simultaneously estimated by maximising the exact discrete log-likelihood using the computational framework provided in package 'mlt', technical details are given in Siegfried & Hothorn (2020) <DOI:10.1111/2041-210X.13383>. The package also contains an experimental implementation of multivariate count transformation models with an application to multi-species distribution models <DOI:10.48550/arXiv.2201.13095>.
Author: Sandra Siegfried [aut, cre] , Luisa Barbanti [aut] , Torsten Hothorn [aut]
Maintainer: Sandra Siegfried <sandra.siegfried@alumni.uzh.ch>

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Package aifeducation updated to version 1.1.3 with previous version 1.1.2 dated 2025-10-14

Title: Artificial Intelligence for Education
Description: In social and educational settings, the use of Artificial Intelligence (AI) is a challenging task. Relevant data is often only available in handwritten forms, or the use of data is restricted by privacy policies. This often leads to small data sets. Furthermore, in the educational and social sciences, data is often unbalanced in terms of frequencies. To support educators as well as educational and social researchers in using the potentials of AI for their work, this package provides a unified interface for neural nets in 'PyTorch' to deal with natural language problems. In addition, the package ships with a shiny app, providing a graphical user interface. This allows the usage of AI for people without skills in writing python/R scripts. The tools integrate existing mathematical and statistical methods for dealing with small data sets via pseudo-labeling (e.g. Cascante-Bonilla et al. (2020) <doi:10.48550/arXiv.2001.06001>) and imbalanced data via the creation of synthetic cases [...truncated...]
Author: Berding Florian [aut, cre] , Tykhonova Yuliia [aut] , Pargmann Julia [ctb] , Leube Anna [ctb] , Riebenbauer Elisabeth [ctb] , Rebmann Karin [ctb], Slopinski Andreas [ctb]
Maintainer: Berding Florian <florian.berding@uni-hamburg.de>

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Package fansi updated to version 1.0.7 with previous version 1.0.6 dated 2023-12-07

Title: ANSI Control Sequence Aware String Functions
Description: Counterparts to R string manipulation functions that account for the effects of ANSI text formatting control sequences.
Author: Brodie Gaslam [aut, cre], Elliott Sales De Andrade [ctb], R Core Team [cph] , Michael Chirico [ctb] , Unicode, Inc. [cph, dtc]
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

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Package reddPrec updated to version 3.0.2 with previous version 3.0.1 dated 2025-09-10

Title: Reconstruction of Daily Data - Precipitation
Description: Applies quality control to daily precipitation observations; reconstructs the original series by estimating precipitation in missing values; and creates gridded datasets of daily precipitation.
Author: Roberto Serrano-Notivoli [aut, cre] , Adrian Huerta [aut] , Abel Centella [ctb]
Maintainer: Roberto Serrano-Notivoli <roberto.serrano@unizar.es>

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Package mlr3cluster updated to version 0.1.12 with previous version 0.1.11 dated 2025-02-18

Title: Cluster Extension for 'mlr3'
Description: Extends the 'mlr3' package with cluster analysis.
Author: Maximilian Muecke [aut, cre] , Damir Pulatov [aut], Michel Lang [aut] , Marc Becker [ctb]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package lme4breeding updated to version 1.1.0 with previous version 1.0.90 dated 2025-10-18

Title: Breeding-Related Mixed-Effects Models
Description: Fit relationship-based and customized mixed-effects models with complex variance-covariance structures using the 'lme4' machinery. The core computational algorithms are implemented using the 'Eigen' 'C++' library for numerical linear algebra and 'RcppEigen' 'glue'.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package digest updated to version 0.6.39 with previous version 0.6.38 dated 2025-11-12

Title: Create Compact Hash Digests of R Objects
Description: Implementation of a function 'digest()' for the creation of hash digests of arbitrary R objects (using the 'md5', 'sha-1', 'sha-256', 'crc32', 'xxhash', 'murmurhash', 'spookyhash', 'blake3', 'crc32c', 'xxh3_64', and 'xxh3_128' algorithms) permitting easy comparison of R language objects, as well as functions such as 'hmac()' to create hash-based message authentication code. Please note that this package is not meant to be deployed for cryptographic purposes for which more comprehensive (and widely tested) libraries such as 'OpenSSL' should be used.
Author: Dirk Eddelbuettel [aut, cre] , Antoine Lucas [ctb] , Jarek Tuszynski [ctb], Henrik Bengtsson [ctb] , Simon Urbanek [ctb] , Mario Frasca [ctb], Bryan Lewis [ctb], Murray Stokely [ctb], Hannes Muehleisen [ctb] , Duncan Murdoch [ctb], Jim Hester [ctb] , [...truncated...]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package difNLR updated to version 1.5.2-2 with previous version 1.5.1-4 dated 2025-06-30

Title: DIF and DDF Detection by Non-Linear Regression Models
Description: Detection of differential item functioning (DIF) among dichotomously scored items and differential distractor functioning (DDF) among unscored items with non-linear regression procedures based on generalized logistic regression models (Hladka & Martinkova, 2020, <doi:10.32614/RJ-2020-014>).
Author: Adela Hladka [aut, cre], Patricia Martinkova [aut], Karel Zvara [ctb]
Maintainer: Adela Hladka <hladka@cs.cas.cz>

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Package ChannelAttribution updated to version 2.2.4 with previous version 2.2.3 dated 2025-11-17

Title: Markov Model for Online Multi-Channel Attribution
Description: Advertisers use a variety of online marketing channels to reach consumers and they want to know the degree each channel contributes to their marketing success. This is called online multi-channel attribution problem. This package contains a probabilistic algorithm for the attribution problem. The model uses a k-order Markov representation to identify structural correlations in the customer journey data. The package also contains three heuristic algorithms (first-touch, last-touch and linear-touch approach) for the same problem. The algorithms are implemented in C++.
Author: Davide Altomare [cre, aut], David Loris [aut]
Maintainer: Davide Altomare <info@channelattribution.io>

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Package sdbuildR updated to version 1.0.8 with previous version 1.0.7 dated 2025-11-03

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

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Package refugees updated to version 2025.06.0 with previous version 2024.12.0 dated 2025-06-14

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

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Package OmopSketch updated to version 1.0.0 with previous version 0.5.1 dated 2025-06-19

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

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Package migraph updated to version 1.5.6 with previous version 1.5.3 dated 2025-10-27

Title: Inferential Methods for Multimodal and Other Networks
Description: A set of tools for testing networks. It includes functions for univariate and multivariate conditional uniform graph and quadratic assignment procedure testing, and network regression. The package is a complement to 'Multimodal Political Networks' (2021, ISBN:9781108985000), and includes various datasets used in the book. Built on the 'manynet' package, all functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, and on one-mode and two-mode (bipartite) networks.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb] , Jael Tan [ctb] , Bernhard Bieri [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package DrugUtilisation updated to version 1.0.5 with previous version 1.0.4 dated 2025-07-02

Title: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model
Description: Summarise patient-level drug utilisation cohorts using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. New users and prevalent users cohorts can be generated and their characteristics, indication and drug use summarised.
Author: Marti Catala [aut, cre] , Mike Du [ctb] , Yuchen Guo [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Xintong Li [ctb] , Marta Alcalde-Herraiz [ctb] , Nuria Mercade-Besora [aut] , Xihang Chen [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package autograph updated to version 0.5.0 with previous version 0.4.1 dated 2025-09-11

Title: Automatic Plotting of Many Graphs
Description: Visual exploration and presentation of networks should not be difficult. This package includes functions for plotting networks and network-related metrics with sensible and pretty defaults. It includes 'ggplot2'-based plot methods for many popular network package classes. It also includes some novel layout algorithms, and options for straightforward, consistent themes.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package SIMPLE.REGRESSION updated to version 0.2.8 with previous version 0.2.7 dated 2025-09-26

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>

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Package fitODBOD updated to version 1.5.5 with previous version 1.5.4 dated 2024-11-20

Title: Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD
Description: Contains Probability Mass Functions, Cumulative Mass Functions, Negative Log Likelihood value, parameter estimation and modeling data using Binomial Mixture Distributions (BMD) (Manoj et al (2013) <doi:10.5539/ijsp.v2n2p24>) and Alternate Binomial Distributions (ABD) (Paul (1985) <doi:10.1080/03610928508828990>), also Journal article to use the package(<doi:10.21105/joss.01505>).
Author: Amalan Mahendran [aut, cre] , Pushpakanthie Wijekoon [aut, ctb]
Maintainer: Amalan Mahendran <amalan0595@gmail.com>

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Package EgoCor updated to version 1.3.4 with previous version 1.3.3 dated 2025-05-19

Title: Simple Presentation of Estimated Exponential Semi-Variograms
Description: User friendly interface based on the R package 'gstat' to fit exponential parametric models to empirical semi-variograms in order to model the spatial correlation structure of health data. Geo-located health outcomes of survey participants may be used to model spatial effects on health in an ego-centred approach. The package contains a range of functions to help explore the spatial structure of the data as well as visualize the fit of exponential models for various metaparameter combinations with respect to the number of lag intervals and maximal distance. Furthermore, the outcome of interest can be adjusted for covariates by fitting a linear regression in a preliminary step before the semi-variogram fitting process.
Author: Julia Dyck [aut, cre], Odile Sauzet [aut], Jan-Ole Koslik [aut]
Maintainer: Julia Dyck <j.dyck@uni-bielefeld.de>

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Package TrialEmulation updated to version 0.0.4.8 with previous version 0.0.4.5 dated 2025-06-13

Title: Causal Analysis of Observational Time-to-Event Data
Description: Implements target trial emulation methods to apply randomized clinical trial design and analysis in an observational setting. Using marginal structural models, it can estimate intention-to-treat and per-protocol effects in emulated trials using electronic health records. A description and application of the method can be found in Danaei et al (2013) <doi:10.1177/0962280211403603>.
Author: Isaac Gravestock [aut, cre] , Li Su [aut], Roonak Rezvani [aut] , Julia Moesch [aut], Medical Research Council [fnd], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Isaac Gravestock <isaac.gravestock@roche.com>

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Package splineplot updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-24

Title: Visualization of Spline Effects in GAM and GLM Models
Description: Creates 'ggplot2'-based visualizations of smooth effects from GAM (Generalized Additive Models) fitted with 'mgcv' and spline effects from GLM (Generalized Linear Models). Supports interaction terms and provides hazard ratio plots with histograms for survival analysis. Wood (2017, ISBN:9781498728331) provides comprehensive methodology for generalized additive models.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package hdf5lib readmission to version 1.14.6.8 with previous version 1.14.6.7 dated 2025-11-17

Title: Headers and Static Libraries for 'HDF5'
Description: 'HDF5' (Hierarchical Data Format 5) is a high-performance library and file format for storing and managing large, complex data. This package provides the static libraries and headers for the 'HDF5' 'C' library (release 1.14.6). It is intended for R package developers to use in the 'LinkingTo' field, which eliminates the need for users to install system-level 'HDF5' dependencies. This build is compiled with thread-safety enabled and supports dynamic loading of external compression filters. 'HDF5' is developed by 'The HDF Group' <https://www.hdfgroup.org/>.
Author: Daniel P. Smith [aut, cre] , The HDF Group [cph] , Jean-loup Mark [cph] , Gailly Adler [cph]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

This is a re-admission after prior archival of version 1.14.6.7 dated 2025-11-17

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Package gdalraster updated to version 2.3.0 with previous version 2.2.1 dated 2025-08-29

Title: Bindings to 'GDAL'
Description: API bindings to the Geospatial Data Abstraction Library ('GDAL', <https://gdal.org>). Implements the 'GDAL' Raster and Vector Data Models. Bindings are implemented with 'Rcpp' modules. Exposed C++ classes and stand-alone functions wrap much of the 'GDAL' API and provide additional functionality. Calling signatures resemble the native C, C++ and Python APIs provided by the 'GDAL' project. Class 'GDALRaster' encapsulates a 'GDALDataset' and its raster band objects. Class 'GDALVector' encapsulates an 'OGRLayer' and the 'GDALDataset' that contains it. Initial bindings are provided to the unified 'gdal' command line interface added in 'GDAL' 3.11. C++ stand-alone functions provide bindings to most 'GDAL' "traditional" raster and vector utilities, including 'OGR' facilities for vector geoprocessing, several algorithms, as well as the Geometry API ('GEOS' via 'GDAL' headers), the Spatial Reference Systems API, and methods for coordinate transformation. Bindings to the Virtual Systems In [...truncated...]
Author: Chris Toney [aut, cre] , Michael D. Sumner [ctb], Frank Warmerdam [ctb, cph] , Even Rouault [ctb, cph] , Marius Appel [ctb, cph] , Daniel James [ctb, cph] , Peter Dimov [ctb, cph]
Maintainer: Chris Toney <jctoney@gmail.com>

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Package CoxPlus updated to version 1.5.6 with previous version 1.1.1 dated 2015-10-24

Title: Cox Regression (Proportional Hazards Model) with Multiple Causes and Mixed Effects
Description: Extends the Cox model to events with more than one causes. Also supports random and fixed effects, tied events, and time-varying variables. Model details are provided in Peng et al. (2018) <doi:10.1509/jmr.14.0643>.
Author: Jing Peng [aut, cre]
Maintainer: Jing Peng <pengjing@live.com>

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Package bage updated to version 0.10.2 with previous version 0.10.1 dated 2025-11-17

Title: Bayesian Estimation and Forecasting of Age-Specific Rates
Description: Fast Bayesian estimation and forecasting of age-specific rates, probabilities, and means, based on 'Template Model Builder'.
Author: John Bryant [aut, cre], Junni Zhang [aut], Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>

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Package aramappings updated to version 0.1.1 with previous version 0.1.0 dated 2025-11-18

Title: Computes Adaptable Radial Axes Mappings
Description: Computes low-dimensional point representations of high-dimensional numerical data according to the data visualization method Adaptable Radial Axes described in: Manuel Rubio-Sánchez, Alberto Sanchez, and Dirk J. Lehmann (2017) "Adaptable radial axes plots for improved multivariate data visualization" <doi:10.1111/cgf.13196>.
Author: Manuel Rubio-Sanchez [aut, cre, cph] , Dirk J. Lehmann [ctb] , Miguel Angel Munoz Mohedano [ctb] , Alberto Sanchez Campos [ctb] , Cristina Soguero-Ruiz [ctb]
Maintainer: Manuel Rubio-Sanchez <manuel.rubio@urjc.es>

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Package DYNATE (with last version 0.1) was removed from CRAN

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

2022-10-14 0.1

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Package BSTZINB updated to version 2.0.1 with previous version 2.0.0 dated 2025-01-30

Title: Association Among Disease Counts and Socio-Environmental Factors
Description: Estimation of association between disease or death counts (e.g. COVID-19) and socio-environmental risk factors using a zero-inflated Bayesian spatiotemporal model. Non-spatiotemporal models and/or models without zero-inflation are also included for comparison. Functions to produce corresponding maps are also included. See Chakraborty et al. (2022) <doi:10.1007/s13253-022-00487-1> for more details on the method.
Author: Suman Majumder [cre, aut, cph], Yoon-Bae Jun [aut, cph], Sounak Chakraborty [ctb], Chae-Young Lim [ctb], Tanujit Dey [ctb]
Maintainer: Suman Majumder <smajumd2@gmail.com>

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Package tinytex updated to version 0.58 with previous version 0.57 dated 2025-04-15

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

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Package rcompanion updated to version 2.5.1 with previous version 2.5.0 dated 2025-02-13

Title: Functions to Support Extension Education Program Evaluation
Description: Functions and datasets to support Summary and Analysis of Extension Program Evaluation in R, and An R Companion for the Handbook of Biological Statistics. Vignettes are available at <https://rcompanion.org>.
Author: Salvatore Mangiafico [aut, cre]
Maintainer: Salvatore Mangiafico <mangiafico@njaes.rutgers.edu>

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Package gss updated to version 2.2-10 with previous version 2.2-9 dated 2025-04-13

Title: General Smoothing Splines
Description: A comprehensive package for structural multivariate function estimation using smoothing splines.
Author: Chong Gu [aut, cre]
Maintainer: Chong Gu <chong@purdue.edu>

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Package collapse updated to version 2.1.5 with previous version 2.1.4 dated 2025-10-24

Title: Advanced and Fast Data Transformation
Description: A large C/C++-based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust, and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R, fast functions for data transformation and common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It seamlessly supports base R objects/cla [...truncated...]
Author: Sebastian Krantz [aut, cre] , Matt Dowle [ctb], Arun Srinivasan [ctb], Morgan Jacob [ctb], Dirk Eddelbuettel [ctb], Laurent Berge [ctb], Kevin Tappe [ctb], Alina Cherkas [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999- [...truncated...]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package CohortCharacteristics updated to version 1.1.0 with previous version 1.0.2 dated 2025-10-23

Title: Summarise and Visualise Characteristics of Patients in the OMOP CDM
Description: Summarise and visualise the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model (CDM).
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Mike Du [ctb] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Marta Alcalde [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package bridgesampling updated to version 1.2-1 with previous version 1.1-2 dated 2021-04-16

Title: Bridge Sampling for Marginal Likelihoods and Bayes Factors
Description: Provides functions for estimating marginal likelihoods, Bayes factors, posterior model probabilities, and normalizing constants in general, via different versions of bridge sampling (Meng & Wong, 1996, <https://www3.stat.sinica.edu.tw/statistica/j6n4/j6n43/j6n43.htm>). Gronau, Singmann, & Wagenmakers (2020) <doi:10.18637/jss.v092.i10>.
Author: Quentin F. Gronau [aut, cre] , Henrik Singmann [aut] , Jonathan J. Forster [ctb], Eric-Jan Wagenmakers [ths], The JASP Team [ctb], Jiqiang Guo [ctb], Jonah Gabry [ctb], Ben Goodrich [ctb], Kees Mulder [ctb], Perry de Valpine [ctb], Aki Vehtari [ctb], [...truncated...]
Maintainer: Quentin F. Gronau <Quentin.F.Gronau@gmail.com>

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Package agridat updated to version 1.26 with previous version 1.25 dated 2025-10-08

Title: Agricultural Datasets
Description: Datasets from books, papers, and websites related to agriculture. Example graphics and analyses are included. Data come from small-plot trials, multi-environment trials, uniformity trials, yield monitors, and more.
Author: Kevin Wright [aut, cre, cph]
Maintainer: Kevin Wright <kw.stat@gmail.com>

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