Thu, 21 Aug 2025

Package dartR.spatial updated to version 1.0.3 with previous version 0.78 dated 2023-11-14

Title: Applying Landscape Genomic Methods on 'SNP' and 'Silicodart' Data
Description: Provides landscape genomic functions to analyse 'SNP' (single nuclear polymorphism) data, such as least cost path analysis and isolation by distance. Therefore each sample needs to have coordinate data attached (lat/lon) to be able to run most of the functions. 'dartR.spatial' is a package that belongs to the 'dartRverse' suit of packages and depends on 'dartR.base' and 'dartR.data'.
Author: Bernd Gruber [aut, cre], Arthur Georges [aut], Jose L. Mijangos [aut], Carlo Pacioni [aut], Peter J. Unmack [ctb], Oliver Berry [ctb]
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>

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Package DImodelsVis updated to version 1.0.2 with previous version 1.0.1 dated 2024-02-26

Title: Visualising and Interpreting Statistical Models Fit to Compositional Data
Description: Statistical models fit to compositional data are often difficult to interpret due to the sum to 1 constraint on data variables. 'DImodelsVis' provides novel visualisations tools to aid with the interpretation of models fit to compositional data. All visualisations in the package are created using the 'ggplot2' plotting framework and can be extended like every other 'ggplot' object.
Author: Rishabh Vishwakarma [aut, cre] , Caroline Brophy [aut], Laura Byrne [aut], Catherine Hurley [aut]
Maintainer: Rishabh Vishwakarma <vishwakr@tcd.ie>

Diff between DImodelsVis versions 1.0.1 dated 2024-02-26 and 1.0.2 dated 2025-08-21

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Package CascadeData updated to version 1.5 with previous version 1.4 dated 2022-11-28

Title: Experimental Data of Cascade Experiments in Genomics
Description: These experimental expression data (5 leukemic 'CLL' B-lymphocyte of aggressive form from 'GSE39411', <doi:10.1073/pnas.1211130110>), after B-cell receptor stimulation, are used as examples by packages such as the 'Cascade' one, a modeling tool allowing gene selection, reverse engineering, and prediction in cascade networks. Jung, N., Bertrand, F., Bahram, S., Vallat, L., and Maumy-Bertrand, M. (2014) <doi:10.1093/bioinformatics/btt705>.
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut] , Laurent Vallat [ctb], Nicolas Jung [ctb]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>

Diff between CascadeData versions 1.4 dated 2022-11-28 and 1.5 dated 2025-08-21

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Package iClick updated to version 1.6 with previous version 1.5 dated 2018-11-22

Title: A Button-Based GUI for Financial and Economic Data Analysis
Description: A GUI designed to support the analysis of financial-economic time series data.
Author: Ho Tsung-wu [aut, cre]
Maintainer: Ho Tsung-wu <tsungwu@ntnu.edu.tw>

Diff between iClick versions 1.5 dated 2018-11-22 and 1.6 dated 2025-08-21

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Package vectorsurvR updated to version 1.5.2 with previous version 1.5.1 dated 2025-07-09

Title: Data Access and Analytical Tools for 'VectorSurv' Users
Description: Allows registered 'VectorSurv' <https://vectorsurv.org/> users access to data through the 'VectorSurv API' <https://api.vectorsurv.org/>. Additionally provides functions for analysis and visualization.
Author: Christina De Cesaris [aut, cre]
Maintainer: Christina De Cesaris <cmdecesaris@ucdavis.edu>

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Package rdocdump updated to version 0.1.1 with previous version 0.1.0 dated 2025-06-18

Title: Dump 'R' Package Source, Documentation, and Vignettes into One File
Description: Dump source code, documentation and vignettes of an 'R' package into a single file. Supports installed packages, tar.gz archives, and package source directories. If the package is not installed, only its source is automatically downloaded from CRAN for processing. The output is a single plain text file or a character vector, which is useful to ingest complete package documentation and source into a large language model (LLM) or pass it further to other tools, such as 'ragnar' <https://github.com/tidyverse/ragnar> to create a Retrieval-Augmented Generation (RAG) workflow.
Author: Egor Kotov [aut, cre, cph]
Maintainer: Egor Kotov <kotov.egor@gmail.com>

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Package weightedRank updated to version 0.5.1 with previous version 0.3.7 dated 2024-07-06

Title: Sensitivity Analysis Using Weighted Rank Statistics
Description: Performs a sensitivity analysis using weighted rank tests in observational studies with I blocks of size J; see Rosenbaum (2024) <doi:10.1080/01621459.2023.2221402>. The package can perform adaptive inference in block designs; see Rosenbaum (2012) <doi:10.1093/biomet/ass032>. The main functions are wgtRank(), wgtRankCI() and wgtRanktt().
Author: Paul Rosenbaum [aut, cre]
Maintainer: Paul Rosenbaum <rosenbaum@wharton.upenn.edu>

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Package liver updated to version 1.20 with previous version 1.19 dated 2025-03-18

Title: Foundations Toolkit and Datasets for Data Science
Description: Provides a collection of helper functions and illustrative datasets to support learning and teaching of data science with R. The package is designed as a companion to the book <https://book-data-science-r.netlify.app/>, making key data science techniques accessible to individuals with minimal coding experience. Functions include tools for data partitioning, performance evaluation, and data transformations (e.g., z-score and min-max scaling). The included datasets are curated to highlight practical applications in data exploration, modeling, and multivariate analysis. An early inspiration for the package came from an ancient Persian idiom about "eating the liver," symbolizing deep and immersive engagement with knowledge.
Author: Reza Mohammadi [aut, cre] , Kevin Burke [aut]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

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Package fluxtools updated to version 0.5.0 with previous version 0.4.0 dated 2025-07-20

Title: A 'shiny' App for Reproducible QA/QC of Eddy Covariance Data
Description: An interactive 'shiny'-based tool for exploration and quality assurance and quality control (QA/QC) of eddy covariance flux tower data processing. It generates data-point removal code via user-directed selection from a scatterplot, and can export a cleaned .csv with removed points set to NA plus an R script for reproducibility. Reference: Key (2025) <DOI:10.5281/zenodo.15597159>.
Author: Kesondra Key [aut, cre]
Maintainer: Kesondra Key <keyke@iu.edu>

Diff between fluxtools versions 0.4.0 dated 2025-07-20 and 0.5.0 dated 2025-08-21

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New package verdadecu with initial version 0.2.0
Package: verdadecu
Title: Data from the Ecuador Truth Commission
Version: 0.2.0
Author: Adriana Robles [aut] , Javier Borja [aut, cre]
Maintainer: Javier Borja <javier@demografiando.pro>
Description: Provides access to data collected by the Ecuadorian Truth Commission. Allows users to extract and analyze systematized information for human rights research in Ecuador. The package contains datasets documenting human rights violations from 1984-2008, including victim information, violation types, perpetrators, and geographic distribution.
License: GPL (>= 2)
URL: https://github.com/Demografiando/verdadecu
BugReports: https://github.com/Demografiando/verdadecu/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-18 19:33:39 UTC; javier
Repository: CRAN
Date/Publication: 2025-08-21 20:20:02 UTC

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New package propertee with initial version 1.0.0
Package: propertee
Version: 1.0.0
Title: Standardization-Based Effect Estimation with Optional Prior Covariance Adjustment
Description: The Prognostic Regression Offsets with Propagation of ERrors (for Treatment Effect Estimation) package facilitates direct adjustment for experiments and observational studies that is compatible with a range of study designs and covariance adjustment strategies. It uses explicit specification of clusters, blocks and treatment allocations to furnish probability of assignment-based weights targeting any of several average treatment effect parameters, and for standard error calculations reflecting these design parameters. For covariance adjustment of its Hajek and (one-way) fixed effects estimates, it enables offsetting the outcome against predictions from a dedicated covariance model, with standard error calculations propagating error as appropriate from the covariance model.
License: MIT + file LICENSE
License_is_FOSS: yes
License_restricts_use: no
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), multcomp, MASS
Imports: stats, methods, sandwich
Enhances: robustbase
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
URL: https://github.com/benbhansen-stats/propertee
BugReports: https://github.com/benbhansen-stats/propertee/issues
NeedsCompilation: no
Packaged: 2025-08-18 16:09:03 UTC; josh
Author: Josh Errickson [cre, aut], Josh Wasserman [aut], Mark Fredrickson [ctb], Adam Sales [ctb], Xinhe Wang [ctb], Ben Hansen [aut]
Maintainer: Josh Errickson <jerrick@umich.edu>
Repository: CRAN
Date/Publication: 2025-08-21 20:12:06 UTC

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Package hassediagrams updated to version 1.1 with previous version 1.0 dated 2025-06-11

Title: Hasse Diagram of the Layout Structure and Restricted Layout Structure
Description: Returns a Hasse diagram of the layout structure (Bate and Chatfield (2016)) <doi:10.1080/00224065.2016.11918173> or the restricted layout structure (Bate and Chatfield (2016)) <doi:10.1080/00224065.2016.11918174> of an experimental design.
Author: Damianos Michaelides [aut, cre], Simon Bate [aut], Marion Chatfield [aut]
Maintainer: Damianos Michaelides <dm3g15@soton.ac.uk>

Diff between hassediagrams versions 1.0 dated 2025-06-11 and 1.1 dated 2025-08-21

 DESCRIPTION         |    8 +++----
 MD5                 |   44 ++++++++++++++++++++--------------------
 R/analytical.R      |    2 -
 R/concrete.R        |    2 -
 R/dental.R          |    4 +--
 R/hasselayout.R     |   41 +++++++++++++++++++++++++++-----------
 R/hasserls.R        |   56 +++++++++++++++++++++++++++++++++++++++-------------
 R/human.R           |    2 -
 R/itemlist.R        |   16 +++++++++++---
 build/partial.rdb   |binary
 build/vignette.rds  |binary
 data/analytical.rda |binary
 data/concrete.rda   |binary
 data/dental.csv     |    4 +--
 data/dental.rda     |binary
 data/human.rda      |binary
 man/analytical.Rd   |    2 -
 man/concrete.Rd     |    2 -
 man/dental.Rd       |    4 +--
 man/hasselayout.Rd  |   10 ++++-----
 man/hasserls.Rd     |   16 ++++++++++++--
 man/human.Rd        |    2 -
 man/itemlist.Rd     |    8 +++----
 23 files changed, 144 insertions(+), 79 deletions(-)

More information about hassediagrams at CRAN
Permanent link

New package ggdiceplot with initial version 0.1.0
Package: ggdiceplot
Title: Dice Plot Visualization for 'ggplot2'
Version: 0.1.0
Author: Matthias Flotho [aut, cre]
Maintainer: Matthias Flotho <matthias.flotho@ccb.uni-saarland.de>
Description: Provides 'ggplot2' extensions for creating dice-based visualizations where each dot position represents a specific categorical variable. The package includes geom_dice() for displaying presence/absence of categorical variables using traditional dice patterns. Each dice position (1-6) represents a different category, with dots shown only when that category is present. This allows intuitive visualization of up to 6 categorical variables simultaneously.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/maflot/ggdiceplot
BugReports: https://github.com/maflot/ggdiceplot/issues
Imports: ggplot2 (>= 3.4.0), grid, legendry, scales
LazyData: true
Depends: R (>= 4.1.0), dplyr
NeedsCompilation: no
Packaged: 2025-08-18 15:03:41 UTC; matthiasflo
Repository: CRAN
Date/Publication: 2025-08-21 20:02:06 UTC

More information about ggdiceplot at CRAN
Permanent link

Package teal.modules.clinical updated to version 0.11.0 with previous version 0.10.0 dated 2025-02-28

Title: 'teal' Modules for Standard Clinical Outputs
Description: Provides user-friendly tools for creating and customizing clinical trial reports. By leveraging the 'teal' framework, this package provides 'teal' modules to easily create an interactive panel that allows for seamless adjustments to data presentation, thereby streamlining the creation of detailed and accurate reports.
Author: Joe Zhu [aut] , Jana Stoilova [aut], Davide Garolini [aut], Emily de la Rua [aut], Abinaya Yogasekaram [aut], Mahmoud Hallal [aut], Dawid Kaledkowski [aut, cre], Rosemary Li [aut], Heng Wang [aut], Pawel Rucki [aut], Nikolas Burkoff [aut], Konrad Pag [...truncated...]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>

Diff between teal.modules.clinical versions 0.10.0 dated 2025-02-28 and 0.11.0 dated 2025-08-21

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 teal.modules.clinical-0.11.0/teal.modules.clinical/NAMESPACE                                                        |    3 
 teal.modules.clinical-0.11.0/teal.modules.clinical/NEWS.md                                                          |   16 
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/arm_ref_comp.R                                                 |    4 
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/facet_grid_formula.R                                           |    2 
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/teal.modules.clinical.R                                        |    2 
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_a_gee.R                                                     |   19 
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_a_mmrm.R                                                    |   71 +-
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_g_barchart_simple.R                                         |   49 -
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_g_ci.R                                                      |   23 
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_g_forest_rsp.R                                              |   29 
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_g_forest_tte.R                                              |   35 
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_g_ipp.R                                                     |   44 -
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_g_km.R                                                      |   93 +-
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_g_lineplot.R                                                |   53 -
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_g_pp_adverse_events.R                                       |   70 -
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_g_pp_patient_timeline.R                                     |   11 
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_g_pp_therapy.R                                              |   62 -
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_g_pp_vitals.R                                               |   36 -
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_t_abnormality.R                                             |   39 -
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_t_abnormality_by_worst_grade.R                              |   28 
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_t_ancova.R                                                  |   49 -
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_t_binary_outcome.R                                          |   96 +-
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_t_coxreg.R                                                  |   38 -
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_t_events.R                                                  |   79 +-
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_t_events_by_grade.R                                         |   83 +-
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_t_events_patyear.R                                          |   32 
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_t_events_summary.R                                          |   51 -
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_t_exposure.R                                                |   30 
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_t_glm_counts.R                                              |only
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_t_logistic.R                                                |   28 
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 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_t_pp_basic_info.R                                           |   91 +-
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_t_pp_laboratory.R                                           |  161 +---
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_t_pp_medical_history.R                                      |   11 
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_t_pp_prior_medication.R                                     |   93 --
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/tm_t_shift_by_arm.R                                            |   74 --
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 teal.modules.clinical-0.11.0/teal.modules.clinical/R/utils.R                                                        |    8 
 teal.modules.clinical-0.11.0/teal.modules.clinical/R/validate_standard_inputs.R                                     |    2 
 teal.modules.clinical-0.11.0/teal.modules.clinical/build/vignette.rds                                               |binary
 teal.modules.clinical-0.11.0/teal.modules.clinical/inst/WORDLIST                                                    |    6 
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 teal.modules.clinical-0.11.0/teal.modules.clinical/man/control_tte.Rd                                               |    2 
 teal.modules.clinical-0.11.0/teal.modules.clinical/man/default_total_label.Rd                                       |    2 
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 teal.modules.clinical-0.11.0/teal.modules.clinical/man/template_vitals.Rd                                           |    3 
 teal.modules.clinical-0.11.0/teal.modules.clinical/man/tm_g_ipp.Rd                                                  |    9 
 teal.modules.clinical-0.11.0/teal.modules.clinical/man/tm_g_km.Rd                                                   |    9 
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 teal.modules.clinical-0.11.0/teal.modules.clinical/tests/testthat/_snaps/tm_g_forest_rsp.md                         |   20 
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 teal.modules.clinical-0.11.0/teal.modules.clinical/tests/testthat/test-shinytest2-tm_a_mmrm.R                       |   19 
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 teal.modules.clinical-0.11.0/teal.modules.clinical/tests/testthat/test-shinytest2-tm_g_ci.R                         |   16 
 teal.modules.clinical-0.11.0/teal.modules.clinical/tests/testthat/test-shinytest2-tm_g_forest_rsp.R                 |   20 
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 teal.modules.clinical-0.11.0/teal.modules.clinical/tests/testthat/test-shinytest2-tm_t_pp_prior_medication.R        |   14 
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New package rpgconn with initial version 0.3.1
Package: rpgconn
Title: User-Friendly PostgreSQL Connection Management
Version: 0.3.1
Maintainer: Bobby Fatemi <bfatemi07@gmail.com>
Description: Provides a user-friendly interface for managing PostgreSQL database connection settings. The package supplies helper functions to create, edit and load connection and option configuration files stored in a user-specific directory using the 'odbc' and 'RPostgres' back ends. These helpers make it easy to construct a reproducible connection string from a configuration file, either by reading user-defined YAML files or by parsing an environment variable.
Encoding: UTF-8
License: MIT + file LICENSE
Language: en-US
Depends: R (>= 4.1.0)
URL: https://github.com/r-data-science/rpgconn
BugReports: https://github.com/r-data-science/rpgconn/issues
Imports: DBI, fs, RPostgres, stringr, usethis, yaml
Suggests: rstudioapi, spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-08-18 14:36:48 UTC; bobbyf
Author: Bobby Fatemi [aut, cre]
Repository: CRAN
Date/Publication: 2025-08-21 19:52:08 UTC

More information about rpgconn at CRAN
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Package froggeR updated to version 0.5.2 with previous version 0.5.1 dated 2025-07-22

Title: Enhance 'Quarto' Project Workflows and Standards
Description: Streamlines 'Quarto' workflows by providing tools for consistent project setup and documentation. Enables portability through reusable metadata, automated project structure creation, and standardized templates. Features include enhanced project initialization, pre-formatted 'Quarto' documents, inclusion of 'Quarto' brand functionality, comprehensive data protection settings, custom styling, and structured documentation generation. Designed to improve efficiency and collaboration in R data science projects by reducing repetitive setup tasks while maintaining consistent formatting across multiple documents.
Author: Kyle Grealis [aut, cre]
Maintainer: Kyle Grealis <kyleGrealis@icloud.com>

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Package easyViz updated to version 1.1.0 with previous version 1.0.0 dated 2025-07-22

Title: Easy Visualization of Conditional Effects from Regression Models
Description: Offers a flexible and user-friendly interface for visualizing conditional effects from a broad range of regression models, including mixed-effects and generalized additive (mixed) models. Compatible model types include lm(), rlm(), glm(), glm.nb(), and gam() (from 'mgcv'); nonlinear models via nls(); and generalized least squares via gls(). Mixed-effects models with random intercepts and/or slopes can be fitted using lmer(), glmer(), glmer.nb(), glmmTMB(), or gam() (from 'mgcv', via smooth terms). Plots are rendered using base R graphics with extensive customization options. Approximate confidence intervals for nls() models are computed using the delta method. Robust standard errors for rlm() are computed using the sandwich estimator (Zeileis 2004) <doi:10.18637/jss.v011.i10>. Methods for generalized additive models follow Wood (2017) <doi:10.1201/9781315370279>. For linear mixed-effects models with 'lme4', see Bates et al. (2015) <doi:10.18637/jss.v067.i01>. For mixe [...truncated...]
Author: Luca Corlatti [aut, cre]
Maintainer: Luca Corlatti <lucac1980@yahoo.it>

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Package GRShiny updated to version 1.0.1 with previous version 1.0.0 dated 2023-05-03

Title: Graded Response Model
Description: Simulation and analysis of graded response data with different types of estimators. Also, an interactive shiny application is provided with graphics for characteristic and information curves. Samejima (2018) <doi:10.1007/978-1-4757-2691-6_5>.
Author: Sooyong Lee [aut, cre], Tiffany Whittaker [aut], Laura Stapleton [aut]
Maintainer: Sooyong Lee <sooyongl09@gmail.com>

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Package forecastLSW updated to version 1.1.1 with previous version 1.0 dated 2023-04-25

Title: Forecasting Routines for Locally Stationary Wavelet Processes
Description: Implementation to perform forecasting of locally stationary wavelet processes by examining the local second order structure of the time series.
Author: Rebecca Killick [aut, cre], Matt Nunes [aut], Guy Nason [aut], Marina Knight [aut], Idris Eckley [ctb]
Maintainer: Rebecca Killick <r.killick@lancs.ac.uk>

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Package dnn updated to version 0.0.7 with previous version 0.0.6 dated 2024-03-14

Title: Deep Neural Network Tools for Probability and Statistic Models
Description: Contains a robust set of tools designed for constructing deep neural networks, which are highly adaptable with user-defined loss function and probability models. It includes several practical applications, such as the (deepAFT) model, which utilizes a deep neural network approach to enhance the accelerated failure time (AFT) model for survival data. Another example is the (deepGLM) model that applies deep neural network to the generalized linear model (glm), accommodating data types with continuous, categorical and Poisson distributions.
Author: Bingshu E. Chen [aut, cre], Patrick Norman [aut, ctb], Wenyu Jiang [ctb], Wanlu Li [ctb]
Maintainer: Bingshu E. Chen <bingshu.chen@queensu.ca>

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Package diagL1 updated to version 1.0.1 with previous version 1.0.0 dated 2024-01-29

Title: Routines for Fit, Inference and Diagnostics in Linear L1 and LAD Models
Description: Diagnostics for linear L1 regression (also known as LAD - Least Absolute Deviations), including: estimation, confidence intervals, tests of hypotheses, measures of leverage, methods of diagnostics for L1 regression, special diagnostics graphs and measures of leverage. The algorithms are based in Dielman (2005) <doi:10.1080/0094965042000223680>, Elian et al. (2000) <doi:10.1080/03610920008832518> and Dodge (1997) <doi:10.1006/jmva.1997.1666>. This package builds on the 'quantreg' package, which is a well-established package for tuning quantile regression models. There are also tests to verify if the errors have a Laplace distribution based on the work of Puig and Stephens (2000) <doi:10.2307/1270952>.
Author: Kevin Allan Sales Rodrigues [aut, cre] , Silvia Nagib Elian [ctb, ths]
Maintainer: Kevin Allan Sales Rodrigues <kevin.asr@outlook.com>

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Package rcrisp updated to version 0.2.0 with previous version 0.1.4 dated 2025-07-04

Title: Automate the Delineation of Urban River Spaces
Description: Provides tools to automate the morphological delineation of riverside urban areas based on a method introduced in Forgaci (2018) <doi:10.7480/abe.2018.31>. Delineation entails the identification of corridor boundaries, segmentation of the corridor, and delineation of the river space using two-dimensional spatial information from street network data and digital elevation data in a projected CRS. The resulting delineation can be used to characterise spatial phenomena that can be related to the river as a central element.
Author: Claudiu Forgaci [aut, cre, cph] , Francesco Nattino [aut] , Fakhereh Alidoost [ctb] , Meiert Willem Grootes [ctb] , Netherlands eScience Center [fnd]
Maintainer: Claudiu Forgaci <c.forgaci@tudelft.nl>

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Package ggtranslate updated to version 0.1.1 with previous version 0.1.0 dated 2025-07-10

Title: A 'ggplot2' Extension for Translating Plot Text
Description: Provides a simple way to translate text elements in 'ggplot2' plots using a dictionary-based approach.
Author: Mathias Leroy [aut, cre]
Maintainer: Mathias Leroy <mathias.leroy.rpkg@gmail.com>

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Package csodata updated to version 1.5.1 with previous version 1.5.0 dated 2024-05-29

Title: Download Data from the CSO 'PxStat' API
Description: Imports 'PxStat' data in JSON-stat format and (optionally) reshapes it into wide format. The Central Statistics Office (CSO) is the national statistical institute of Ireland and 'PxStat' is the CSOs online database of Official Statistics. This database contains current and historical data series compiled from CSO statistical releases and is accessed at <https://data.cso.ie>. The CSO 'PxStat' Application Programming Interface (API), which is accessed in this package, provides access to 'PxStat' data in JSON-stat format at <https://data.cso.ie>. This dissemination tool allows developers machine to machine access to CSO 'PxStat' data.
Author: Eoin Horgan [aut] , Conor Crowley [aut, cre], Vytas Vaiciulis [aut], Mervyn O'Luing [aut], James O'Rourke [aut]
Maintainer: Conor Crowley <conor.crowley@cso.ie>

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Package AccelStab updated to version 2.3.2 with previous version 2.3.1 dated 2025-07-01

Title: Accelerated Stability Kinetic Modelling
Description: Estimate the Šesták–Berggren kinetic model (degradation model) from experimental data. A closed-form (analytic) solution to the degradation model is implemented as a non-linear fit, allowing for the extrapolation of the degradation of a drug product - both in time and temperature. Parametric bootstrap, with kinetic parameters drawn from the multivariate t-distribution, and analytical formulae (the delta method) are available options to calculate the confidence and prediction intervals. The results (modelling, extrapolations and statistical intervals) can be visualised with multiple plots. The examples illustrate the accelerated stability modelling in drugs and vaccines development.
Author: Bernard G Franq [aut, cph], Ben Wells [ctb], Alex Ball [cre], Daniel Williams [ctb]
Maintainer: Alex Ball <alex_keith_ball@hotmail.com>

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Package vangogh updated to version 0.1.2 with previous version 0.1.1 dated 2022-05-27

Title: Vincent Van Gogh Colour Palette Generator
Description: Provides 'ggplot2'-compatible colour palettes inspired by Vincent van Gogh's paintings. Each palette contains five colours, manually selected by hexadecimal values.
Author: Cheryl Isabella [aut, cre]
Maintainer: Cheryl Isabella <cheryl.academic@gmail.com>

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Package spc4sts updated to version 0.6.5 with previous version 0.6.3 dated 2022-05-24

Title: Statistical Process Control for Stochastic Textured Surfaces
Description: Provides statistical process control tools for stochastic textured surfaces. The current version supports the following tools: (1) generic modeling of stochastic textured surfaces. (2) local defect monitoring and diagnostics in stochastic textured surfaces, which was proposed by Bui and Apley (2018a) <doi:10.1080/00401706.2017.1302362>. (3) global change monitoring in the nature of stochastic textured surfaces, which was proposed by Bui and Apley (2018b) <doi:10.1080/00224065.2018.1507559>. (4) computation of dissimilarity matrix of stochastic textured surface images, which was proposed by Bui and Apley (2019b) <doi:10.1016/j.csda.2019.01.019>.
Author: Anh Tuan Bui [aut, cre], Daniel W. Apley [ths]
Maintainer: Anh Tuan Bui <atbui@u.northwestern.edu>

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Package r5r updated to version 2.3.0 with previous version 2.2.0 dated 2025-05-22

Title: Rapid Realistic Routing with 'R5'
Description: Rapid realistic routing on multimodal transport networks (walk, bike, public transport and car) using 'R5', the Rapid Realistic Routing on Real-world and Reimagined networks engine <https://github.com/conveyal/r5>. The package allows users to generate detailed routing analysis or calculate travel time and monetary cost matrices using seamless parallel computing on top of the R5 Java machine. While R5 is developed by Conveyal, the package r5r is independently developed by a team at the Institute for Applied Economic Research (Ipea) with contributions from collaborators. Apart from the documentation in this package, users will find additional information on R5 documentation at <https://docs.conveyal.com/>. Although we try to keep new releases of r5r in synchrony with R5, the development of R5 follows Conveyal's independent update process. Hence, users should confirm the R5 version implied by the Conveyal user manual (see <https://docs.conveyal.com/changelog>) correspon [...truncated...]
Author: Marcus Saraiva [aut] , Rafael H. M. Pereira [aut, cre] , Daniel Herszenhut [aut] , Alex Magnus [aut], Matthew Wigginton Bhagat-Conway [aut] , Carlos Kaue Vieira Braga [ctb] , Luyu Liu [ctb] , Daniel Snow [ctb], Ipea - Institute for Applied Economic R [...truncated...]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package mapbayr updated to version 0.10.1 with previous version 0.10.0 dated 2023-07-17

Title: MAP-Bayesian Estimation of PK Parameters
Description: Performs maximum a posteriori Bayesian estimation of individual pharmacokinetic parameters from a model defined in 'mrgsolve', typically for model-based therapeutic drug monitoring. Internally computes an objective function value from model and data, performs optimization and returns predictions in a convenient format. The performance of the package was described by Le Louedec et al (2021) <doi:10.1002/psp4.12689>.
Author: Felicien Le Louedec [aut, cre] , Kyle T Baron [ctb] , Laura Morvan [ctb]
Maintainer: Felicien Le Louedec <felicienlelouedec@proton.me>

Diff between mapbayr versions 0.10.0 dated 2023-07-17 and 0.10.1 dated 2025-08-21

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More information about mapbayr at CRAN
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Package verification updated to version 1.45 with previous version 1.44 dated 2024-11-28

Title: Weather Forecast Verification
Description: Utilities for verifying discrete, continuous and probabilistic forecasts, and forecasts expressed as parametric distributions are included.
Author: Eric Gilleland [aut, cre] , Matt Pocernich [ctb], Sabrina Wahl [ctb], Ronald Frenette [ctb]
Maintainer: Eric Gilleland <eric.gilleland@colostate.edu>

Diff between verification versions 1.44 dated 2024-11-28 and 1.45 dated 2025-08-21

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Package torch updated to version 0.16.0 with previous version 0.15.1 dated 2025-07-10

Title: Tensors and Neural Networks with 'GPU' Acceleration
Description: Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <doi:10.48550/arXiv.1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
Author: Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], Hamada S. Badr [ctb], Sebastian Fischer [ctb], Maximilian Pichler [ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

Diff between torch versions 0.15.1 dated 2025-07-10 and 0.16.0 dated 2025-08-21

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Package ThresholdROC updated to version 2.9.5 with previous version 2.9.4 dated 2024-04-12

Title: Optimum Threshold Estimation
Description: Functions that provide point and interval estimations of optimum thresholds for continuous diagnostic tests. The methodology used is based on minimizing an overall cost function in the two- and three-state settings. We also provide functions for sample size determination and estimation of diagnostic accuracy measures. We also include graphical tools. The statistical methodology used here can be found in Perez-Jaume et al (2017) <doi:10.18637/jss.v082.i04> and in Skaltsa et al (2010, 2012) <doi:10.1002/bimj.200900294>, <doi:10.1002/sim.4369>.
Author: Sara Perez-Jaume [aut, cre], Natalia Pallares [aut], Konstantina Skaltsa [aut]
Maintainer: Sara Perez-Jaume <spjaume@gmail.com>

Diff between ThresholdROC versions 2.9.4 dated 2024-04-12 and 2.9.5 dated 2025-08-21

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Package neverhpfilter readmission to version 0.5-0 with previous version 0.4-0 dated 2021-06-18

Title: An Alternative to the Hodrick-Prescott Filter
Description: In the working paper titled "Why You Should Never Use the Hodrick-Prescott Filter", James D. Hamilton proposes a new alternative to economic time series filtering. The neverhpfilter package provides functions and data for reproducing his work. Hamilton (2017) <doi:10.3386/w23429>.
Author: Justin M. Shea [aut, cre]
Maintainer: Justin M. Shea <jshea01@uic.edu>

This is a re-admission after prior archival of version 0.4-0 dated 2021-06-18

Diff between neverhpfilter versions 0.4-0 dated 2021-06-18 and 0.5-0 dated 2025-08-21

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More information about neverhpfilter at CRAN
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Package httk updated to version 2.7.1 with previous version 2.7.0 dated 2025-07-23

Title: High-Throughput Toxicokinetics
Description: Pre-made models that can be rapidly tailored to various chemicals and species using chemical-specific in vitro data and physiological information. These tools allow incorporation of chemical toxicokinetics ("TK") and in vitro-in vivo extrapolation ("IVIVE") into bioinformatics, as described by Pearce et al. (2017) (<doi:10.18637/jss.v079.i04>). Chemical-specific in vitro data characterizing toxicokinetics have been obtained from relatively high-throughput experiments. The chemical-independent ("generic") physiologically-based ("PBTK") and empirical (for example, one compartment) "TK" models included here can be parameterized with in vitro data or in silico predictions which are provided for thousands of chemicals, multiple exposure routes, and various species. High throughput toxicokinetics ("HTTK") is the combination of in vitro data and generic models. We establish the expected accuracy of HTTK for chemicals without in vivo data through statistical evaluation of HTTK predicti [...truncated...]
Author: John Wambaugh [aut, cre] , Sarah Davidson-Fritz [aut] , Robert Pearce [aut] , Caroline Ring [aut] , Greg Honda [aut] , Mark Sfeir [aut], Matt Linakis [aut] , Dustin Kapraun [aut] , Kimberly Truong [aut] , Colin Thomson [aut] , Meredith Scherer [aut] [...truncated...]
Maintainer: John Wambaugh <wambaugh.john@epa.gov>

Diff between httk versions 2.7.0 dated 2025-07-23 and 2.7.1 dated 2025-08-21

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Package DImodelsMulti updated to version 1.2.0 with previous version 1.1.1 dated 2024-05-08

Title: Fit Multivariate Diversity-Interactions Models with Repeated Measures
Description: An add-on package to 'DImodels' for the fitting of biodiversity and ecosystem function relationship study data with multiple ecosystem function responses and/or time points. This package uses the multivariate and repeated measures Diversity-Interactions (DI) methods developed by Kirwan et al. (2009) <doi:10.1890/08-1684.1>, Finn et al. (2013) <doi:10.1111/1365-2664.12041>, and Dooley et al. (2015) <doi:10.1111/ele.12504>.
Author: Laura Byrne [aut, cre] , Rishabh Vishwakarma [aut], Rafael de Andrade Moral [aut], Caroline Brophy [aut]
Maintainer: Laura Byrne <Laura.Byrne.Work@outlook.com>

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Package blockCV readmission to version 3.2-0 with previous version 3.1-6 dated 2025-06-23

Title: Spatial and Environmental Blocking for K-Fold and LOO Cross-Validation
Description: Creating spatially or environmentally separated folds for cross-validation to provide a robust error estimation in spatially structured environments; Investigating and visualising the effective range of spatial autocorrelation in continuous raster covariates and point samples to find an initial realistic distance band to separate training and testing datasets spatially described in Valavi, R. et al. (2019) <doi:10.1111/2041-210X.13107>.
Author: Roozbeh Valavi [aut, cre] , Jane Elith [aut], Jose Lahoz-Monfort [aut], Ian Flint [aut], Gurutzeta Guillera-Arroita [aut]
Maintainer: Roozbeh Valavi <valavi.r@gmail.com>

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Package BeastJar updated to version 10.5.1 with previous version 10.5.0 dated 2025-07-19

Title: JAR Dependency for MCMC Using 'BEAST'
Description: Provides JAR to perform Markov chain Monte Carlo (MCMC) inference using the popular Bayesian Evolutionary Analysis by Sampling Trees 'BEAST X' software library of Baele et al (2025) <doi:10.1038/s41592-025-02751-x>. 'BEAST X' supports auto-tuning Metropolis-Hastings, slice, Hamiltonian Monte Carlo and Sequential Monte Carlo sampling for a large variety of composable standard and phylogenetic statistical models using high performance computing. By placing the 'BEAST X' JAR in this package, we offer an efficient distribution system for 'BEAST X' use by other R packages using CRAN.
Author: Marc A. Suchard [aut, cre, cph], Andrew Rambaut [cph], Alexei J. Drummond [cph]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

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Package tidytransit updated to version 1.7.1 with previous version 1.7.0 dated 2024-10-18

Title: Read, Validate, Analyze, and Map GTFS Feeds
Description: Read General Transit Feed Specification (GTFS) zipfiles into a list of R dataframes. Perform validation of the data structure against the specification. Analyze the headways and frequencies at routes and stops. Create maps and perform spatial analysis on the routes and stops. Please see the GTFS documentation here for more detail: <https://gtfs.org/>.
Author: Flavio Poletti [aut, cre], Daniel Herszenhut [aut] , Mark Padgham [aut], Tom Buckley [aut], Danton Noriega-Goodwin [aut], Angela Li [ctb], Elaine McVey [ctb], Charles Hans Thompson [ctb], Michael Sumner [ctb], Patrick Hausmann [ctb], Bob Rudis [ctb], [...truncated...]
Maintainer: Flavio Poletti <flavio.poletti@hotmail.ch>

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Package sandbox updated to version 0.2.2 with previous version 0.2.1 dated 2022-02-25

Title: Probabilistic Numerical Modelling of Sediment Properties
Description: A flexible framework for definition and application of time/depth- based rules for sets of parameters for single grains that can be used to create artificial sediment profiles. Such profiles can be used for virtual sample preparation and synthetic, for instance, luminescence measurements.
Author: Michael Dietze [aut, cre] , Sebastian Kreutzer [aut]
Maintainer: Michael Dietze <michael.dietze@uni-goettingen.de>

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Package resourcecode updated to version 0.3.0 with previous version 0.2.1 dated 2024-12-03

Title: Access to the 'RESOURCECODE' Hindcast Database
Description: Utility functions to download data from the 'RESOURCECODE' hindcast database of sea-states, time series of sea-state parameters and time series of 1D and 2D wave spectra. See <https://resourcecode.ifremer.fr> for more details about the available data. Also provides facilities to plot and analyse downloaded data, such as computing the sea-state parameters from both the 1D and 2D surface elevation variance spectral density.
Author: Nicolas Raillard [aut, cre]
Maintainer: Nicolas Raillard <nicolas.raillard@ifremer.fr>

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Package bookdown updated to version 0.44 with previous version 0.43 dated 2025-04-15

Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie [aut, cre] , Christophe Dervieux [ctb] , JJ Allaire [ctb], Albert Kim [ctb], Alessandro Samuel-Rosa [ctb], Andrzej Oles [ctb], Atsushi Yasumoto [ctb] , Aust Frederik [ctb] , Bastiaan Quast [ctb], Ben Marwick [ctb], Chester Ismay [ctb], Clif [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package ExtremalDep updated to version 1.0.0 with previous version 0.0.4-5 dated 2025-06-29

Title: Extremal Dependence Models
Description: A set of procedures for parametric and non-parametric modelling of the dependence structure of multivariate extreme-values is provided. The statistical inference is performed with non-parametric estimators, likelihood-based estimators and Bayesian techniques. It adapts the methodologies of Beranger and Padoan (2015) <doi:10.48550/arXiv.1508.05561>, Marcon et al. (2016) <doi:10.1214/16-EJS1162>, Marcon et al. (2017) <doi:10.1002/sta4.145>, Marcon et al. (2017) <doi:10.1016/j.jspi.2016.10.004> and Beranger et al. (2021) <doi:10.1007/s10687-019-00364-0>. This package also allows for the modelling of spatial extremes using flexible max-stable processes. It provides simulation algorithms and fitting procedures relying on the Stephenson-Tawn likelihood as per Beranger at al. (2021) <doi:10.1007/s10687-020-00376-1>.
Author: Boris Beranger [aut], Simone Padoan [cre, aut], Giulia Marcon [aut], Steven G. Johnson [ctb] , Rudolf Schuerer [ctb] , Brian Gough [ctb] , Alec G. Stephenson [ctb], Anne Sabourin [ctb] , Philippe Naveau [ctb]
Maintainer: Simone Padoan <simone.padoan@unibocconi.it>

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Package slideview updated to version 0.2.1 with previous version 0.2.0 dated 2022-04-11

Title: Compare Raster Images Side by Side with a Slider
Description: Create a side-by-side view of raster(image)s with an interactive slider to switch between regions of the images. This can be especially useful for image comparison of the same region at different time stamps.
Author: Tim Appelhans [cre, aut], Stefan Woellauer [aut]
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>

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Package c3dr updated to version 0.2.0 with previous version 0.1.5 dated 2025-05-22

Title: Read and Write C3D Motion Capture Files
Description: A wrapper for the 'EZC3D' library to work with C3D motion capture data.
Author: Simon Nolte [aut, cre] , Benjamin Michaud [cph] , German Sport University Cologne [fnd] , Aymeric Stamm [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/686>), July Pilowsky [rev] for rOpenSci, see <https://github.com/rop [...truncated...]
Maintainer: Simon Nolte <s.nolte@dshs-koeln.de>

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Package xaringanthemer updated to version 0.4.4 with previous version 0.4.3 dated 2024-09-15

Title: Custom 'xaringan' CSS Themes
Description: Create beautifully color-coordinated and customized themes for your 'xaringan' slides, without writing any CSS. Complete your slide theme with 'ggplot2' themes that match the font and colors used in your slides. Customized styles can be created directly in your slides' 'R Markdown' source file or in a separate external script.
Author: Garrick Aden-Buie [aut, cre]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>

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Package wrGraph updated to version 1.3.11 with previous version 1.3.10 dated 2025-06-17

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

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Package UCSCXenaTools updated to version 1.6.1 with previous version 1.4.8 dated 2022-06-20

Title: Download and Explore Datasets from UCSC Xena Data Hubs
Description: Download and explore datasets from UCSC Xena data hubs, which are a collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx, CCLE, and others. Databases are normalized so they can be combined, linked, filtered, explored and downloaded.
Author: Shixiang Wang [aut, cre] , Xue-Song Liu [aut] , Martin Morgan [ctb], Christine Stawitz [rev] , Carl Ganz [rev]
Maintainer: Shixiang Wang <w_shixiang@163.com>

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Package pharmaversesdtm updated to version 1.3.1 with previous version 1.3.0 dated 2025-07-04

Title: SDTM Test Data for the 'Pharmaverse' Family of Packages
Description: A set of Study Data Tabulation Model (SDTM) datasets from the Clinical Data Interchange Standards Consortium (CDISC) pilot project used for testing and developing Analysis Data Model (ADaM) datasets inside the pharmaverse family of packages. SDTM dataset specifications are described in the CDISC SDTM implementation guide, accessible by creating a free account on <https://www.cdisc.org/>.
Author: Lina Patil [aut, cre], Stefan Bundfuss [aut] , Fanny Gautier [aut] , Edoardo Mancini [aut] , Tomoyuki Namai [aut], Vinh Nguyen [aut], Vladyslav Shuliar [aut] , Cytel Inc. [cph, fnd], F. Hoffmann-La Roche AG [cph, fnd], GlaxoSmithKline LLC [cph, fnd]
Maintainer: Lina Patil <lina.patil@cytel.com>

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Package openSkies updated to version 1.2.2 with previous version 1.2.1 dated 2024-04-03

Title: Retrieval, Analysis and Visualization of Air Traffic Data
Description: Provides functionalities and data structures to retrieve, analyze and visualize aviation data. It includes a client interface to the 'OpenSky' API <https://opensky-network.org>. It allows retrieval of flight information, as well as aircraft state vectors.
Author: Rafael Ayala [aut, cre] , Daniel Ayala [aut] , David Ruiz [aut] , Aleix Selles [aut], Lara Selles Vidal [aut]
Maintainer: Rafael Ayala <rafaelayalahernandez@gmail.com>

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Package LTCDM updated to version 1.1.0 with previous version 1.0.0 dated 2024-05-15

Title: Latent Transition Cognitive Diagnosis Model with Covariates
Description: Implementation of the three-step approach of (latent transition) cognitive diagnosis model (CDM) with covariates. This approach can be used for single time-point situations (cross-sectional data) and multiple time-point situations (longitudinal data) to investigate how the covariates are associated with attribute mastery. For multiple time-point situations, the three-step approach of latent transition CDM with covariates allows researchers to assess changes in attribute mastery status and to evaluate the covariate effects on both the initial states and transition probabilities over time using latent logistic regression. Because stepwise approaches often yield biased estimates, correction for classification error probabilities (CEPs) is considered in this approach. The three-step approach for latent transition CDM with covariates involves the following steps: (1) fitting a CDM to the response data without covariates at each time point separately, (2) assigning examinees to latent states [...truncated...]
Author: Qianru Liang [aut, cre, cph] , Jimmy de la Torre [aut] , Jingping Du [ctb]
Maintainer: Qianru Liang <liangqr@jnu.edu.cn>

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Package LambertW updated to version 0.6.9-2 with previous version 0.6.9-1 dated 2023-11-30

Title: Probabilistic Models to Analyze and Gaussianize Heavy-Tailed, Skewed Data
Description: Lambert W x F distributions are a generalized framework to analyze skewed, heavy-tailed data. It is based on an input/output system, where the output random variable (RV) Y is a non-linearly transformed version of an input RV X ~ F with similar properties as X, but slightly skewed (heavy-tailed). The transformed RV Y has a Lambert W x F distribution. This package contains functions to model and analyze skewed, heavy-tailed data the Lambert Way: simulate random samples, estimate parameters, compute quantiles, and plot/ print results nicely. The most useful function is 'Gaussianize', which works similarly to 'scale', but actually makes the data Gaussian. A do-it-yourself toolkit allows users to define their own Lambert W x 'MyFavoriteDistribution' and use it in their analysis right away.
Author: Georg M. Goerg [aut, cre]
Maintainer: Georg M. Goerg <im@gmge.org>

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Package GencoDymo2 updated to version 1.0.3 with previous version 1.0.2 dated 2025-07-14

Title: Comprehensive Analysis of 'GENCODE' Annotations and Splice Site Motifs
Description: A comprehensive suite of helper functions designed to facilitate the analysis of genomic annotations from the 'GENCODE' database <https://www.gencodegenes.org/>, supporting both human and mouse genomes. This toolkit enables users to extract, filter, and analyze a wide range of annotation features including genes, transcripts, exons, and introns across different 'GENCODE' releases. It provides functionality for cross-version comparisons, allowing researchers to systematically track annotation updates, structural changes, and feature-level differences between releases. In addition, the package can generate high-quality FASTA files containing donor and acceptor splice site motifs, which are formatted for direct input into the 'MaxEntScan' tool (Yeo and Burge, 2004 <doi:10.1089/1066527041410418>), enabling accurate calculation of splice site strength scores.
Author: Monah Abou Alezz [aut, cre, cph] , Lorenzo Salviati [ctb], Roberta Alfieri [ctb], Silvia Bione [ctb]
Maintainer: Monah Abou Alezz <aboualezz.monah@hsr.it>

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Package flowcluster updated to version 0.2.1 with previous version 0.1.0 dated 2025-07-05

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

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Package cubeview updated to version 0.4.1 with previous version 0.2.4 dated 2025-04-12

Title: View 3D Raster Cubes Interactively
Description: Creates a 3D data cube view of a RasterStack/Brick, typically a collection/array of RasterLayers (along z-axis) with the same geographical extent (x and y dimensions) and resolution, provided by package 'raster'. Slices through each dimension (x/y/z), freely adjustable in location, are mapped to the visible sides of the cube. The cube can be freely rotated. Zooming and panning can be used to focus on different areas of the cube.
Author: Tim Appelhans [cre, aut], Stefan Woellauer [aut], three.js authors [ctb, cph]
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>

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Package ClusterBootstrap updated to version 2.0.0 with previous version 1.1.2 dated 2021-02-16

Title: Analyze Clustered Data using the Cluster Bootstrap
Description: Provides functionality for the analysis of clustered data using the cluster bootstrap.
Author: Mathijs Deen [aut, cre], Mark de Rooij [aut]
Maintainer: Mathijs Deen <dev@mathijsdeen.com>

Diff between ClusterBootstrap versions 1.1.2 dated 2021-02-16 and 2.0.0 dated 2025-08-21

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More information about ClusterBootstrap at CRAN
Permanent link

Package asremlPlus updated to version 4.4.51 with previous version 4.4.49 dated 2025-06-15

Title: Augments 'ASReml-R' in Fitting Mixed Models and Packages Generally in Exploring Prediction Differences
Description: Assists in automating the selection of terms to include in mixed models when 'asreml' is used to fit the models. Procedures are available for choosing models that conform to the hierarchy or marginality principle, for fitting and choosing between two-dimensional spatial models using correlation, natural cubic smoothing spline and P-spline models. A history of the fitting of a sequence of models is kept in a data frame. Also used to compute functions and contrasts of, to investigate differences between and to plot predictions obtained using any model fitting function. The content falls into the following natural groupings: (i) Data, (ii) Model modification functions, (iii) Model selection and description functions, (iv) Model diagnostics and simulation functions, (v) Prediction production and presentation functions, (vi) Response transformation functions, (vii) Object manipulation functions, and (viii) Miscellaneous functions (for further details see 'asremlPlus-package' in help). The [...truncated...]
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

Diff between asremlPlus versions 4.4.49 dated 2025-06-15 and 4.4.51 dated 2025-08-21

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More information about asremlPlus at CRAN
Permanent link

Package tfprobability updated to version 0.15.2 with previous version 0.15.1 dated 2022-09-01

Title: Interface to 'TensorFlow Probability'
Description: Interface to 'TensorFlow Probability', a 'Python' library built on 'TensorFlow' that makes it easy to combine probabilistic models and deep learning on modern hardware ('TPU', 'GPU'). 'TensorFlow Probability' includes a wide selection of probability distributions and bijectors, probabilistic layers, variational inference, Markov chain Monte Carlo, and optimizers such as Nelder-Mead, BFGS, and SGLD.
Author: Tomasz Kalinowski [ctb, cre], Sigrid Keydana [aut], Daniel Falbel [ctb], Kevin Kuo [ctb] , RStudio [cph]
Maintainer: Tomasz Kalinowski <tomasz.kalinowski@rstudio.com>

Diff between tfprobability versions 0.15.1 dated 2022-09-01 and 0.15.2 dated 2025-08-21

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More information about tfprobability at CRAN
Permanent link

Package rTRNG updated to version 4.23.1-4 with previous version 4.23.1-2 dated 2022-03-14

Title: Advanced and Parallel Random Number Generation via 'TRNG'
Description: Embeds sources and headers from Tina's Random Number Generator ('TRNG') C++ library. Exposes some functionality for easier access, testing and benchmarking into R. Provides examples of how to use parallel RNG with 'RcppParallel'. The methods and techniques behind 'TRNG' are illustrated in the package vignettes and examples. Full documentation is available in Bauke (2021) <https://github.com/rabauke/trng4/blob/v4.23.1/doc/trng.pdf>.
Author: Riccardo Porreca [aut, cre], Roland Schmid [aut], Mirai Solutions GmbH [cph], Heiko Bauke [ctb, cph]
Maintainer: Riccardo Porreca <riccardo.porreca@mirai-solutions.com>

Diff between rTRNG versions 4.23.1-2 dated 2022-03-14 and 4.23.1-4 dated 2025-08-21

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More information about rTRNG at CRAN
Permanent link

Package neatStats updated to version 1.13.5 with previous version 1.13.3 dated 2022-12-07

Title: Neat and Painless Statistical Reporting
Description: User-friendly, clear and simple statistics, primarily for publication in psychological science. The main functions are wrappers for other packages, but there are various additions as well. Every relevant step from data aggregation to reportable printed statistics is covered for basic experimental designs.
Author: Gaspar Lukacs [aut, cre] , Bennett Kleinberg [ctb] , Johnny van Doorn [ctb]
Maintainer: Gaspar Lukacs <lkcsgaspar@gmail.com>

Diff between neatStats versions 1.13.3 dated 2022-12-07 and 1.13.5 dated 2025-08-21

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Package mlflow updated to version 3.2.0 with previous version 2.22.1 dated 2025-06-17

Title: Interface to 'MLflow'
Description: R interface to 'MLflow', open source platform for the complete machine learning life cycle, see <https://mlflow.org/>. This package supports installing 'MLflow', tracking experiments, creating and running projects, and saving and serving models.
Author: Ben Wilson [aut, cre], Matei Zaharia [aut], Javier Luraschi [aut], Kevin Kuo [aut] , RStudio [cph]
Maintainer: Ben Wilson <benjamin.wilson@databricks.com>

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Package lsirm12pl updated to version 1.3.7 with previous version 1.3.6 dated 2025-08-18

Title: Latent Space Item Response Model
Description: Analysis of dichotomous and continuous response data using latent factor by both 1PL LSIRM and 2PL LSIRM as described in Jeon et al. (2021) <doi:10.1007/s11336-021-09762-5>. It includes original 1PL LSIRM and 2PL LSIRM provided for binary response data and its extension for continuous response data. Bayesian model selection with spike-and-slab prior and method for dealing data with missing value under missing at random, missing completely at random are also supported. Various diagnostic plots are available to inspect the latent space and summary of estimated parameters.
Author: Dongyoung Go [aut], Gwanghee Kim [aut, cre], Jina Park [aut], Ickhoon Jin [ctb], Minjeong Jeon [ctb]
Maintainer: Gwanghee Kim <musagh08@yonsei.ac.kr>

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Package litterfitter updated to version 0.1.4 with previous version 0.1.3 dated 2023-08-29

Title: Fits a Collection of Curves to Single-Cohort Decomposition Data
Description: Fit different model forms to single-cohort litter decomposition data (mass remaining through time) using likelihood-based estimation. Models span simple empirical to process-motivated forms with differing numbers of free parameters. Provides parameter estimates, uncertainty, and tools for model comparison/selection. Based on Cornwell & Weedon (2013) <doi:10.1111/2041-210X.12138>.
Author: Will Cornwell [aut, cre] , James Weedon [aut], Guofang Liu [ctb]
Maintainer: Will Cornwell <wcornwell@gmail.com>

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Package fluxfinder readmission to version 1.2.0 with previous version 1.1.0 dated 2025-06-21

Title: Parsing, Computation, and Diagnostics for Greenhouse Gas Measurements
Description: Parse static-chamber greenhouse gas measurement files generated by a variety of instruments; compute flux rates using multi-observation metadata; and generate diagnostic metrics and plots. Designed to be easy to integrate into reproducible scientific workflows.
Author: Stephanie Wilson [cre] , Ben Bond-Lamberty [aut] , Genevieve Noyce [ctb] , Roberta Bittencourt Peixoto [ctb] , Patrick Megonigal [ctb] , Smithsonian Institution [cph, fnd]
Maintainer: Stephanie Wilson <sjw22120@gmail.com>

This is a re-admission after prior archival of version 1.1.0 dated 2025-06-21

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Package exams.forge updated to version 1.0.11 with previous version 1.0.10 dated 2024-07-10

Title: Support for Compiling Examination Tasks using the 'exams' Package
Description: The main aim is to further facilitate the creation of exercises based on the package 'exams' by Grün, B., and Zeileis, A. (2009) <doi:10.18637/jss.v029.i10>. Creating effective student exercises involves challenges such as creating appropriate data sets and ensuring access to intermediate values for accurate explanation of solutions. The functionality includes the generation of univariate and bivariate data including simple time series, functions for theoretical distributions and their approximation, statistical and mathematical calculations for tasks in basic statistics courses as well as general tasks such as string manipulation, LaTeX/HTML formatting and the editing of XML task files for 'Moodle'.
Author: Sigbert Klinke [aut, cre]
Maintainer: Sigbert Klinke <sigbert@hu-berlin.de>

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Package denim updated to version 1.2.2 with previous version 1.2.1 dated 2025-06-02

Title: Generate and Simulate Deterministic Compartmental Models
Description: R package to build and simulate deterministic compartmental models that can be non-Markovian. Length of stay in each compartment can be defined to follow a parametric distribution (d_exponential(), d_gamma(), d_weibull(), d_lognormal()) or a non-parametric distribution (nonparametric()). Other supported types of transition from one compartment to another includes fixed transition (constant()), multinomial (multinomial()), fixed transition probability (transprob()).
Author: Thinh Ong [aut, cph] , Anh Phan [aut, cre] , Marc Choisy [aut] , Niels Lohman [ctb], Bjoern Hoehrmann [ctb], Florian Loitsch [ctb], Ingo Berg [ctb]
Maintainer: Anh Phan <anhptq@oucru.org>

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Package csmaps updated to version 2025.8.21 with previous version 2023.5.22 dated 2023-05-23

Title: Preformatted Maps of Norway that Don't Need Geolibraries
Description: Provides datasets containing preformatted maps of Norway at the county, municipality, and ward (Oslo only) level for redistricting in 2024, 2020, 2018, and 2017. Multiple layouts are provided (normal, split, and with an insert for Oslo), allowing the user to rapidly create choropleth maps of Norway without any geolibraries.
Author: Richard Aubrey White [aut, cre] , Chi Zhang [aut] , CSIDS [cph]
Maintainer: Richard Aubrey White <hello@rwhite.no>

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Package compositions updated to version 2.0-9 with previous version 2.0-8 dated 2024-01-31

Title: Compositional Data Analysis
Description: Provides functions for the consistent analysis of compositional data (e.g. portions of substances) and positive numbers (e.g. concentrations) in the way proposed by J. Aitchison and V. Pawlowsky-Glahn.
Author: K. Gerald van den Boogaart [aut, cre], Raimon Tolosana-Delgado [aut], Matevz Bren [aut]
Maintainer: K. Gerald van den Boogaart <support@boogaart.de>

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Package CBTF updated to version 0.5.0 with previous version 0.4.0 dated 2025-08-19

Title: Caught by the Fuzz! - A Minimalistic Fuzz-Test Runner
Description: A simple runner for fuzz-testing functions in an R package's public interface. Fuzz testing helps identify functions lacking sufficient argument validation, and uncovers problematic inputs that, while valid by function signature, may cause issues within the function body.
Author: Marco Colombo [aut, cre]
Maintainer: Marco Colombo <mar.colombo13@gmail.com>

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Package cbcTools updated to version 0.6.3 with previous version 0.6.2 dated 2025-07-17

Title: Design and Analyze Choice-Based Conjoint Experiments
Description: Design and evaluate choice-based conjoint survey experiments. Generate a variety of survey designs, including random designs, frequency-based designs, and D-optimal designs, as well as "labeled" designs (also known as "alternative-specific designs"), designs with "no choice" options, and designs with dominant alternatives removed. Conveniently inspect and compare designs using a variety of metrics, including design balance, overlap, and D-error, and simulate choice data for a survey design either randomly or according to a utility model defined by user-provided prior parameters. Conduct a power analysis for a given survey design by estimating the same model on different subsets of the data to simulate different sample sizes. Bayesian D-efficient designs using the 'cea' and 'modfed' methods are obtained using the 'idefix' package by Traets et al (2020) <doi:10.18637/jss.v096.i03>. Choice simulation and model estimation in power analyses are handled using the 'logitr' package by He [...truncated...]
Author: John Helveston [cre, aut, cph]
Maintainer: John Helveston <john.helveston@gmail.com>

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Package bigsnpr updated to version 1.12.21 with previous version 1.12.18 dated 2024-11-26

Title: Analysis of Massive SNP Arrays
Description: Easy-to-use, efficient, flexible and scalable tools for analyzing massive SNP arrays. Privé et al. (2018) <doi:10.1093/bioinformatics/bty185>.
Author: Florian Prive [aut, cre], Michael Blum [ths], Hugues Aschard [ths], Bjarni Johann Vilhjalmsson [ths]
Maintainer: Florian Prive <florian.prive.21@gmail.com>

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Package astsa updated to version 2.3 with previous version 2.2 dated 2025-01-15

Title: Applied Statistical Time Series Analysis
Description: Contains data sets and scripts for analyzing time series in both the frequency and time domains including state space modeling as well as supporting the texts Time Series Analysis and Its Applications: With R Examples (5th ed), by R.H. Shumway and D.S. Stoffer. Springer Texts in Statistics, 2025, <DOI:10.1007/978-3-031-70584-7>, and Time Series: A Data Analysis Approach Using R (2nd ed). Chapman-Hall, 2026, <https://www.routledge.com/Time-Series-A-Data-Analysis-Approach-Using-R/Shumway-Stoffer/p/book/9781041031642>. Most scripts are designed to require minimal input to produce aesthetically pleasing output for ease of use in live demonstrations and course work.
Author: David Stoffer [aut, cre], Nicky Poison [ctb, mus, spy]
Maintainer: David Stoffer <stoffer@pitt.edu>

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Package season updated to version 0.3.16 with previous version 0.3.15 dated 2022-03-21

Title: Seasonal Analysis of Health Data
Description: Routines for the seasonal analysis of health data, including regression models, time-stratified case-crossover, plotting functions and residual checks, see Barnett and Dobson (2010) ISBN 978-3-642-10748-1. Thanks to Yuming Guo for checking the case-crossover code.
Author: Adrian Barnett [aut, cre] , Peter Baker [aut] , Oliver Hughes [aut]
Maintainer: Adrian Barnett <a.barnett@qut.edu.au>

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Package metaquant updated to version 0.1.2 with previous version 0.1.1 dated 2025-02-11

Title: Estimating Means, Standard Deviations and Visualising Distributions using Quantiles
Description: Implements a novel density-based approach for estimating unknown means, visualizing distributions, and meta-analyses of quantiles. A detailed vignettes with example datasets and code to prepare data and analyses is available at <https://bookdown.org/a2delivera/metaquant/>. The methods are described in the pre-print by De Livera, Prendergast and Kumaranathunga (2024, <doi:10.48550/arXiv.2411.10971>).
Author: Udara Kumaranathunga [cre], Alysha De Livera [aut], Luke Prendergast [aut]
Maintainer: Udara Kumaranathunga <U.Kumaranathunga@latrobe.edu.au>

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Package cardinalR updated to version 0.1.10 with previous version 0.1.1 dated 2024-04-16

Title: Collection of Data Structures
Description: A collection of functions to generate a large variety of structures in high dimensions. These data structures are useful for testing, validating, and improving algorithms used in dimensionality reduction, clustering, machine learning, and visualization.
Author: Jayani P. Gamage [aut, cre] , Dianne Cook [aut] , Paul Harrison [aut] , Michael Lydeamore [aut] , Thiyanga S. Talagala [aut]
Maintainer: Jayani P. Gamage <jayanilakshika76@gmail.com>

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Package admix updated to version 2.4.3 with previous version 2.4.2 dated 2025-07-05

Title: Package Admix for Admixture (aka Contamination) Models
Description: Implements techniques to estimate the unknown quantities related to two-component admixture models, where the two components can belong to any distribution (note that in the case of multinomial mixtures, the two components must belong to the same family). Estimation methods depend on the assumptions made on the unknown component density; see Bordes and Vandekerkhove (2010) <doi:10.3103/S1066530710010023>, Patra and Sen (2016) <doi:10.1111/rssb.12148>, and Milhaud, Pommeret, Salhi, Vandekerkhove (2024) <doi:10.3150/23-BEJ1593>. In practice, one can estimate both the mixture weight and the unknown component density in a wide variety of frameworks. On top of that, hypothesis tests can be performed in one and two-sample contexts to test the unknown component density (see Milhaud, Pommeret, Salhi and Vandekerkhove (2022) <doi:10.1016/j.jspi.2021.05.010>, and Milhaud, Pommeret, Salhi, Vandekerkhove (2024) <doi:10.3150/23-BEJ1593>). Finally, clustering of unknown [...truncated...]
Author: Xavier Milhaud [aut, cre], Pierre Vandekerkhove [ctb], Denys Pommeret [ctb], Yahia Salhi [ctb]
Maintainer: Xavier Milhaud <xavier.milhaud.research@gmail.com>

Diff between admix versions 2.4.2 dated 2025-07-05 and 2.4.3 dated 2025-08-21

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Package W3CMarkupValidator updated to version 0.2-0 with previous version 0.1-7 dated 2023-02-06

Title: R Interface to W3C Markup Validation Services
Description: R interface to a W3C Markup Validation service. See <https://validator.w3.org/> for more information.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between W3CMarkupValidator versions 0.1-7 dated 2023-02-06 and 0.2-0 dated 2025-08-21

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Package satellite updated to version 1.0.6 with previous version 1.0.5 dated 2024-02-10

Title: Handling and Manipulating Remote Sensing Data
Description: Herein, we provide a broad variety of functions which are useful for handling, manipulating, and visualizing satellite-based remote sensing data. These operations range from mere data import and layer handling (eg subsetting), over Raster* typical data wrangling (eg crop, extend), to more sophisticated (pre-)processing tasks typically applied to satellite imagery (eg atmospheric and topographic correction). This functionality is complemented by a full access to the satellite layers' metadata at any stage and the documentation of performed actions in a separate log file. Currently available sensors include Landsat 4-5 (TM), 7 (ETM+), and 8 (OLI/TIRS Combined), and additional compatibility is ensured for the Landsat Global Land Survey data set.
Author: Thomas Nauss [aut], Hanna Meyer [aut], Tim Appelhans [aut], Florian Detsch [aut, cre]
Maintainer: Florian Detsch <fdetsch@web.de>

Diff between satellite versions 1.0.5 dated 2024-02-10 and 1.0.6 dated 2025-08-21

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Package routr updated to version 1.0.0 with previous version 0.4.1 dated 2022-08-19

Title: A Simple Router for HTTP and WebSocket Requests
Description: In order to make sure that web request ends up in the correct handler function a router is often used. 'routr' is a package implementing a simple but powerful routing functionality for R based servers. It is a fully functional 'fiery' plugin, but can also be used with other 'httpuv' based servers.
Author: Thomas Lin Pedersen [cre, aut]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between routr versions 0.4.1 dated 2022-08-19 and 1.0.0 dated 2025-08-21

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Package PROreg updated to version 1.3.1 with previous version 1.3 dated 2024-03-13

Title: Patient Reported Outcomes Regression Analysis
Description: It offers a wide variety of techniques, such as graphics, recoding, or regression models, for a comprehensive analysis of patient-reported outcomes (PRO). Especially novel is the broad range of regression models based on the beta-binomial distribution useful for analyzing binomial data with over-dispersion in cross-sectional, longitudinal, or multidimensional response studies (see Najera-Zuloaga J., Lee D.-J. and Arostegui I. (2019) <doi:10.1002/bimj.201700251>).
Author: Josu Najera-Zuloaga [aut, cre], Dae-Jin Lee [aut], Inmaculada Arostegui [aut]
Maintainer: Josu Najera-Zuloaga <josu.najera@ehu.eus>

Diff between PROreg versions 1.3 dated 2024-03-13 and 1.3.1 dated 2025-08-21

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Package POSSA updated to version 0.6.5 with previous version 0.6.4 dated 2023-04-22

Title: Power Simulation for Sequential Analyses and Multiple Hypotheses
Description: Calculates, via simulation, power and appropriate stopping alpha boundaries (and/or futility bounds) for sequential analyses (i.e., group sequential design) as well as for multiple hypotheses (multiple tests included in an analysis), given any specified global error rate. This enables the sequential use of practically any significance test, as long as the underlying data can be simulated in advance to a reasonable approximation. Lukács (2022) <doi:10.21105/joss.04643>.
Author: Gaspar Lukacs [aut, cre]
Maintainer: Gaspar Lukacs <lkcsgaspar@gmail.com>

Diff between POSSA versions 0.6.4 dated 2023-04-22 and 0.6.5 dated 2025-08-21

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More information about POSSA at CRAN
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Package VGAMextra updated to version 0.0-8 with previous version 0.0-7 dated 2025-02-12

Title: Additions and Extensions of the 'VGAM' Package
Description: Extending the functionalities of the 'VGAM' package with additional functions and datasets. At present, 'VGAMextra' comprises new family functions (ffs) to estimate several time series models by maximum likelihood using Fisher scoring, unlike popular packages in CRAN relying on optim(), including ARMA-GARCH-like models, the Order-(p, d, q) ARIMAX model (non- seasonal), the Order-(p) VAR model, error correction models for cointegrated time series, and ARMA-structures with Student-t errors. For independent data, new ffs to estimate the inverse- Weibull, the inverse-gamma, the generalized beta of the second kind and the general multivariate normal distributions are available. In addition, 'VGAMextra' incorporates new VGLM-links for the mean-function, and the quantile-function (as an alternative to ordinary quantile modelling) of several 1-parameter distributions, that are compatible with the class of VGLM/VGAM family functions. Currently, only fixed-effects models are implemented. All fun [...truncated...]
Author: Victor Miranda [aut, cre, cph], Thomas Yee [ctb, ths, cph]
Maintainer: Victor Miranda <victor.miranda@aut.ac.nz>

Diff between VGAMextra versions 0.0-7 dated 2025-02-12 and 0.0-8 dated 2025-08-21

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Package protr updated to version 1.7-5 with previous version 1.7-4 dated 2024-09-11

Title: Generating Various Numerical Representation Schemes for Protein Sequences
Description: Comprehensive toolkit for generating various numerical features of protein sequences described in Xiao et al. (2015) <DOI:10.1093/bioinformatics/btv042>. For full functionality, the software 'ncbi-blast+' is needed, see <https://blast.ncbi.nlm.nih.gov/doc/blast-help/downloadblastdata.html> for more information.
Author: Nan Xiao [aut, cre] , Qing-Song Xu [aut], Dong-Sheng Cao [aut], Sebastian Mueller [ctb]
Maintainer: Nan Xiao <me@nanx.me>

Diff between protr versions 1.7-4 dated 2024-09-11 and 1.7-5 dated 2025-08-21

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Package LBI updated to version 0.2.3 with previous version 0.2.2 dated 2025-01-22

Title: Likelihood Based Inference
Description: Maximum likelihood estimation and likelihood ratio test are essential for modern statistics. This package supports in calculating likelihood based inference. Reference: Pawitan Y. (2001, ISBN:0-19-850765-8).
Author: Kyun-Seop Bae [aut, cre, cph]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between LBI versions 0.2.2 dated 2025-01-22 and 0.2.3 dated 2025-08-21

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Package arulesViz updated to version 1.5.4 with previous version 1.5.3 dated 2024-04-26

Title: Visualizing Association Rules and Frequent Itemsets
Description: Extends package 'arules' with various visualization techniques for association rules and itemsets. The package also includes several interactive visualizations for rule exploration. Michael Hahsler (2017) <doi:10.32614/RJ-2017-047>.
Author: Michael Hahsler [aut, cre, cph] , Giallanza Tyler [ctb], Sudheer Chelluboina [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between arulesViz versions 1.5.3 dated 2024-04-26 and 1.5.4 dated 2025-08-21

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Package echelon updated to version 0.4.0 with previous version 0.3.1 dated 2025-03-20

Title: The Echelon Analysis and the Detection of Spatial Clusters using Echelon Scan Method
Description: Functions for the echelon analysis proposed by Myers et al. (1997) <doi:10.1023/A:1018518327329>, and the detection of spatial clusters using echelon scan method proposed by Kurihara (2003) <doi:10.20551/jscswabun.15.2_171>.
Author: Fumio Ishioka [aut, cre]
Maintainer: Fumio Ishioka <fishioka@okayama-u.ac.jp>

Diff between echelon versions 0.3.1 dated 2025-03-20 and 0.4.0 dated 2025-08-21

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