Mon, 03 Nov 2025

Package vectorsurvR updated to version 1.6.0 with previous version 1.5.2 dated 2025-08-21

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>

Diff between vectorsurvR versions 1.5.2 dated 2025-08-21 and 1.6.0 dated 2025-11-03

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More information about vectorsurvR at CRAN
Permanent link

Package RcppCNPy updated to version 0.2.14 with previous version 0.2.13 dated 2024-09-03

Title: Read-Write Support for 'NumPy' Files via 'Rcpp'
Description: The 'cnpy' library written by Carl Rogers provides read and write facilities for files created with (or for) the 'NumPy' extension for 'Python'. Vectors and matrices of numeric types can be read or written to and from files as well as compressed files. Support for integer files is available if the package has been built with as C++11 which should be the default on all platforms since the release of R 3.3.0.
Author: Dirk Eddelbuettel [aut, cre] , Wush Wu [aut] , Carl Rogers [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppCNPy versions 0.2.13 dated 2024-09-03 and 0.2.14 dated 2025-11-03

 ChangeLog                    |   17 +++++++++++++++++
 DESCRIPTION                  |   15 ++++++++-------
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 README.md                    |    2 +-
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More information about RcppCNPy at CRAN
Permanent link

Package disaggR readmission to version 1.0.5.4 with previous version 1.0.5.3 dated 2024-07-11

Title: Two-Steps Benchmarks for Time Series Disaggregation
Description: The twoStepsBenchmark() and threeRuleSmooth() functions allow you to disaggregate a low-frequency time series with higher frequency time series, using the French National Accounts methodology. The aggregated sum of the resulting time series is strictly equal to the low-frequency time series within the benchmarking window. Typically, the low-frequency time series is an annual one, unknown for the last year, and the high frequency one is either quarterly or monthly. See "Methodology of quarterly national accounts", Insee Méthodes N°126, by Insee (2012, ISBN:978-2-11-068613-8, <https://www.insee.fr/en/information/2579410>).
Author: Arnaud Feldmann [aut] , Pauline Meinzel [cre], Thomas Laurent [ctb] , Franck Arnaud [ctb] , Institut national de la statistique et des etudes economiques [cph]
Maintainer: Pauline Meinzel <pauline.meinzel@insee.fr>

This is a re-admission after prior archival of version 1.0.5.3 dated 2024-07-11

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Package corx updated to version 1.0.7.3 with previous version 1.0.7.2 dated 2023-06-16

Title: Create and Format Correlation Matrices
Description: Create correlation (or partial correlation) matrices. Correlation matrices are formatted with significance stars based on user preferences. Matrices of coefficients, p-values, and number of pairwise observations are returned. Send resultant formatted matrices to the clipboard to be pasted into excel and other programs. A plot method allows users to visualize correlation matrices created with 'corx'.
Author: James Conigrave [aut, cre]
Maintainer: James Conigrave <james.conigrave@gmail.com>

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Package apor updated to version 0.1.1 with previous version 0.1.0 dated 2025-11-03

Title: Assessment of Predictions for an Ordinal Response
Description: Produces several metrics to assess the prediction of ordinal categories based on the estimated probability distribution for each unit of analysis produced by any model returning a matrix with these probabilities.
Author: Javier Espinosa-Brito [aut, cre]
Maintainer: Javier Espinosa-Brito <javier.espinosa.b@usach.cl>

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Package tilemaps updated to version 0.2.2 with previous version 0.2.1 dated 2025-09-29

Title: Generate Tile Maps
Description: Implements an algorithm for generating maps, known as tile maps, in which each region is represented by a single tile of the same shape and size. The algorithm was first proposed in "Generating Tile Maps" by Graham McNeill and Scott Hale (2017) <doi:10.1111/cgf.13200>. Functions allow users to generate, plot, and compare square or hexagon tile maps.
Author: Kaelyn Rosenberg [aut, cre]
Maintainer: Kaelyn Rosenberg <kaerosenberg@gmail.com>

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Package JANE updated to version 2.1.0 with previous version 2.0.0 dated 2025-07-30

Title: Just Another Latent Space Network Clustering Algorithm
Description: Fit latent space network cluster models using an expectation-maximization algorithm. Enables flexible modeling of unweighted or weighted network data (with or without noise edges), supporting both directed and undirected networks (with or without degree and strength heterogeneity). Designed to handle large networks efficiently, it allows users to explore network structure through latent space representations, identify clusters (i.e., community detection) within network data, and simulate networks with varying clustering, connectivity patterns, and noise edges. Methodology for the implementation is described in Arakkal and Sewell (2025) <doi:10.1016/j.csda.2025.108228>.
Author: Alan Arakkal [aut, cre, cph] , Daniel Sewell [aut]
Maintainer: Alan Arakkal <alan-arakkal@uiowa.edu>

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Package TSMCP readmission to version 1.1 with previous version 1.0 dated 2018-11-18

Title: Fast Two Stage Multiple Change Point Detection
Description: A novel and fast two stage method for simultaneous multiple change point detection and variable selection for piecewise stationary autoregressive (PSAR) processes and linear regression model. It also simultaneously performs variable selection for each autoregressive model and hence the order selection.
Author: Yaguang Li [aut, cre], Baisuo Jin [aut]
Maintainer: Yaguang Li <liyg@mail.ustc.edu.cn>

This is a re-admission after prior archival of version 1.0 dated 2018-11-18

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New package tldrDocs with initial version 0.0.1
Package: tldrDocs
Title: Provide 'tldrPages' Documentation for Base R Functions
Version: 0.0.1
Description: Documentation for commonly-used objects included in the base distribution of R. Note that 'tldrDocs' does not export any functions itself, its purpose is to write .Rd files during its installation for 'tldr()' to find.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-30 18:45:22 UTC; rstudio
Author: James Otto [aut, cre] , David Kahle [aut]
Maintainer: James Otto <jamesotto852@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-03 19:30:02 UTC

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Package tfarima updated to version 0.4.1 with previous version 0.3.2 dated 2022-05-20

Title: Transfer Function and ARIMA Models
Description: Build customized transfer function and ARIMA models with multiple operators and parameter restrictions. Provides tools for model identification, estimation using exact or conditional maximum likelihood, diagnostic checking, automatic outlier detection, calendar effects, forecasting, and seasonal adjustment. The new version also supports unobserved component ARIMA model specification and estimation for structural time series analysis.
Author: Jose L. Gallego [aut, cre]
Maintainer: Jose L. Gallego <jose.gallego@unican.es>

Diff between tfarima versions 0.3.2 dated 2022-05-20 and 0.4.1 dated 2025-11-03

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New package StepRegShiny with initial version 1.6.1
Package: StepRegShiny
Version: 1.6.1
Title: Graphical User Interface for 'StepReg'
Date: 2025-10-22
Description: A web-based 'shiny' interface for the 'StepReg' package enables stepwise regression analysis across linear, generalized linear (including logistic, Poisson, Gamma, and negative binomial), and Cox models. It supports forward, backward, bidirectional, and best-subset selection under a range of criteria. The package also supports stepwise regression to multivariate settings, allowing multiple dependent variables to be modeled simultaneously. Users can explore and combine multiple selection strategies and criteria to optimize model selection. For enhanced robustness, the package offers optional randomized forward selection to reduce overfitting, and a data-splitting workflow for more reliable post-selection inference. Additional features include logging and visualization of the selection process, as well as the ability to export results in common formats.
License: MIT + file LICENSE
BugReports: https://github.com/JunhuiLi1017/StepRegShiny/issues
VignetteBuilder: knitr
Suggests: knitr, testthat, BiocStyle, survival
Imports: StepReg, shiny, DT, shinythemes, shinycssloaders, dplyr, ggplot2, stringr, flextable, cowplot, ggcorrplot, tidyr, summarytools, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Repository: CRAN
Packaged: 2025-10-30 05:21:27 UTC; lij11
Author: Junhui Li [cre] , Junhui Li [aut], Kai Hu [aut], Xiaohuan Lu [aut], Sushmita N Nayak [ctb], Cesar Bautista Sotelo [ctb], Michael A Lodato [ctb], Wenxin Liu [aut], Lihua Julie Zhu [aut]
Maintainer: Junhui Li <junhui.li11@umassmed.edu>
Date/Publication: 2025-11-03 19:10:08 UTC

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New package MixStable with initial version 0.1.0
Package: MixStable
Title: Parameter Estimation for Stable Distributions and Their Mixtures
Version: 0.1.0
Description: Provides various functions for parameter estimation of one-dimensional stable distributions and their mixtures. It implements a diverse set of estimation methods, including quantile-based approaches, regression methods based on the empirical characteristic function (empirical, kernel, and recursive), and maximum likelihood estimation. For mixture models, it provides stochastic expectation–maximization (SEM) algorithms and Bayesian estimation methods using sampling and importance sampling to overcome the long burn-in period of Markov Chain Monte Carlo (MCMC) strategies. The package also includes tools and statistical tests for analyzing whether a dataset follows a stable distribution. Some of the implemented methods are described in Hajjaji, O., Manou-Abi, S. M., and Slaoui, Y. (2024) <doi:10.1080/02664763.2024.2434627>.
License: GPL-3
Encoding: UTF-8
Imports: stabledist, mixtools, nortest, openxlsx, e1071, jsonlite, libstable4u, stats, graphics, MASS, utils
Suggests: ggplot2, grDevices, moments, readxl, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-30 00:19:17 UTC; FX506
Author: Solym Manou-Abi [aut, cre], Adam Najib [aut], Yousri Slaoui [aut]
Maintainer: Solym Manou-Abi <solym.manou.abi@univ-poitiers.fr>
Repository: CRAN
Date/Publication: 2025-11-03 19:20:18 UTC

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New package crookR with initial version 0.1.0
Package: crookR
Title: Synthetic Crook Deformations in Stem Point Clouds
Version: 0.1.0
Description: Simulates parameterized single- and double-directional stem deformations in tree point clouds derived from terrestrial or mobile laser scanning, enabling the generation of realistic synthetic datasets for training and validating machine learning models in wood defect detection, quality assessment, and precision forestry. For more details see Pires (2025) <doi:10.54612/a.7hln0kr0ta>.
License: MIT + file LICENSE
URL: https://github.com/raudep/crookR
BugReports: https://github.com/raudep/crookR/issues
Depends: R (>= 4.2)
Imports: data.table, stats, utils
Suggests: knitr, lidR, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: false
NeedsCompilation: no
Packaged: 2025-10-30 15:20:29 UTC; rads0001
Author: Raul de Paula Pires [aut, cre]
Maintainer: Raul de Paula Pires <rauldepaulapires@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-03 19:20:02 UTC

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New package barrel with initial version 0.1.0
Package: barrel
Title: Covariance-Based Ellipses and Annotation Tools for Ordination Plots
Version: 0.1.0
Description: Provides tools to visualize ordination results in 'R' by adding covariance-based ellipses, centroids, vectors, and confidence regions to plots created with 'ggplot2'. The package extends the 'vegan' framework and supports Principal Component Analysis (PCA), Redundancy Analysis (RDA), and Non-metric Multidimensional Scaling (NMDS). Ellipses can represent either group dispersion (standard deviation, SD) or centroid precision (standard error, SE), following Wang et al. (2015) <doi:10.1371/journal.pone.0118537>. Robust estimators of covariance are implemented, including the Minimum Covariance Determinant (MCD) method of Hubert et al. (2018) <doi:10.1002/wics.1421>. This approach reduces the influence of outliers. barrel is particularly useful for multivariate ecological datasets, promoting reproducible, publication-quality ordination graphics with minimal effort.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: robustbase, ggplot2, stats, ggrepel, vegan, grid, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-30 10:41:14 UTC; Usuari
Author: Diego Barranco-Elena [aut, cre]
Maintainer: Diego Barranco-Elena <diego.barranco@udl.cat>
Repository: CRAN
Date/Publication: 2025-11-03 19:20:07 UTC

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New package armadillo4r with initial version 0.6.0
Package: armadillo4r
Title: An 'Armadillo' Interface
Description: Provides function declarations and inline function definitions that facilitate communication between R and the 'Armadillo' 'C++' library for linear algebra and scientific computing. This implementation is derived from Vargas Sepulveda and Schneider Malamud (2024) <doi:10.1016/j.softx.2025.102087>.
Version: 0.6.0
Imports: cpp4r
Suggests: desc, mockery, testthat (>= 3.0.0), withr
Depends: R(>= 3.5.0)
License: Apache License (>= 2)
BugReports: https://github.com/pachadotdev/armadillo4r/issues
URL: https://pacha.dev/armadillo4r/, https://github.com/pachadotdev/armadillo4r
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-30 03:22:36 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre] , Jonathan Schneider Malamud [ctb], Conrad Sanderson [aut] )
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-03 19:10:02 UTC

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Package surveydown updated to version 0.14.0 with previous version 0.13.3 dated 2025-09-30

Title: Markdown-Based Programmable Surveys Using 'Quarto' and 'shiny'
Description: Generate programmable surveys using markdown and R code chunks. Surveys are composed of two files: a survey.qmd 'Quarto' file defining the survey content (pages, questions, etc), and an app.R file defining a 'shiny' app with global settings (libraries, database configuration, etc.) and server configuration options (e.g., conditional skipping / display, etc.). Survey data collected from respondents is stored in a 'PostgreSQL' database. Features include controls for conditional skip logic (skip to a page based on an answer to a question), conditional display logic (display a question based on an answer to a question), a customizable progress bar, and a wide variety of question types, including multiple choice (single choice and multiple choices), select, text, numeric, multiple choice buttons, text area, and dates. Because the surveys render into a 'shiny' app, designers can also leverage the reactive capabilities of 'shiny' to create dynamic and interactive surveys.
Author: John Paul Helveston [aut, cre, cph] , Pingfan Hu [aut, cph] , Bogdan Bunea [aut, cph] , Stefan Munnes [ctb]
Maintainer: John Paul Helveston <john.helveston@gmail.com>

Diff between surveydown versions 0.13.3 dated 2025-09-30 and 0.14.0 dated 2025-11-03

 DESCRIPTION                    |    6 -
 MD5                            |   14 ++--
 NEWS.md                        |   13 +++-
 R/db.R                         |    8 --
 R/ui.R                         |   12 ++-
 R/util.R                       |   31 ++++++----
 README.md                      |    6 +
 inst/lua/include-resources.lua |  127 +++++++++++++++++++++++++++++++++++++++++
 8 files changed, 182 insertions(+), 35 deletions(-)

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New package rAccess with initial version 0.1.1.2
Package: rAccess
Title: Access Control Module for 'shiny' Applications
Version: 0.1.1.2
Description: Provides a flexible framework for implementing hierarchical access control in 'shiny' applications. Features include user permission management through a two-tier system of access panels and units, pluggable 'shiny' module for administrative interfaces, and support for multiple storage backends (local, 'AWS S3', 'Posit Connect'). The system enables fine-grained control over application features, with built-in audit trails and user management capabilities. Integrates seamlessly with 'Posit Connect's authentication system.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: config, dplyr, DT, here, htmlwidgets, httr, jsonlite, magrittr, pins, R6, shiny, shinyjs, shinyWidgets, tibble, tidyr, yaml, shinyalert, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://johnsonandjohnson.github.io/rAccess/, https://github.com/johnsonandjohnson/rAccess/
BugReports: https://github.com/johnsonandjohnson/rAccess/issues/
NeedsCompilation: no
Packaged: 2025-10-29 22:40:13 UTC; peshghi
Author: Peyman Eshghi [aut, cre] , Nandu Krishnan [aut], Nadia Abraham [aut], Harika Adapala [ctb], Johnson & Johnson Innovative Medicine [cph, fnd]
Maintainer: Peyman Eshghi <peymaan.es@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-03 18:50:02 UTC

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New package infocausality with initial version 1.0
Package: infocausality
Title: Information-Theoretic Measure of Causality
Version: 1.0
Description: Methods for quantifying temporal and spatial causality through information flow, and decomposing it into unique, redundant, and synergistic components, following the framework described in Martinez-Sanchez et al. (2024) <doi:10.1038/s41467-024-53373-4>.
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/infocausality/, https://github.com/stscl/infocausality
BugReports: https://github.com/stscl/infocausality/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp
Imports: methods, reticulate (>= 1.41.0), sdsfun, sf, terra
Suggests: gdverse, ggplot2, knitr, Rcpp, rmarkdown, spEDM, tEDM
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-10-29 11:25:13 UTC; 31809
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-03 18:30:08 UTC

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New package GGenemy with initial version 0.1.0
Package: GGenemy
Title: Audit 'ggplot2' Visualizations for Accessibility and Best Practices
Version: 0.1.0
Description: Audits 'ggplot2' visualizations for accessibility issues, misleading practices, and readability problems. Checks for color accessibility concerns including colorblind-unfriendly palettes, misleading scale manipulations such as truncated axes and dual y-axes, text readability issues like small fonts and overlapping labels, and general accessibility barriers. Provides comprehensive audit reports with actionable suggestions for improvement. Color vision deficiency simulation uses methods from the 'colorspace' package Zeileis et al. (2020) <doi:10.18637/jss.v096.i01>. Contrast calculations follow WCAG 2.1 guidelines (W3C 2018 <https://www.w3.org/WAI/WCAG21/Understanding/contrast-minimum>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, colorspace, grDevices
URL: https://github.com/andytai7/GGenemy
BugReports: https://github.com/andytai7/GGenemy/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-29 22:38:35 UTC; andytai
Author: Andy Man Yeung Tai [aut, cre]
Maintainer: Andy Man Yeung Tai <andy.tai@stat.ubc.ca>
Repository: CRAN
Date/Publication: 2025-11-03 18:50:10 UTC

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Package bioinactivation updated to version 1.3.1 with previous version 1.3.0 dated 2025-04-06

Title: Mathematical Modelling of (Dynamic) Microbial Inactivation
Description: Functions for modelling microbial inactivation under isothermal or dynamic conditions. The calculations are based on several mathematical models broadly used by the scientific community and industry. Functions enable to make predictions for cases where the kinetic parameters are known. It also implements functions for parameter estimation for isothermal and dynamic conditions. The model fitting capabilities include an Adaptive Monte Carlo method for a Bayesian approach to parameter estimation.
Author: Alberto Garre [aut, cre], Pablo S. Fernandez [aut], Jose A. Egea [aut]
Maintainer: Alberto Garre <garre.alberto@gmail.com>

Diff between bioinactivation versions 1.3.0 dated 2025-04-06 and 1.3.1 dated 2025-11-03

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Package s2dv updated to version 2.2.1 with previous version 2.2.0 dated 2025-09-25

Title: Seasonal to Decadal Verification
Description: An advanced version of package 's2dverification'. Intended for seasonal to decadal (s2d) climate forecast verification, but also applicable to other types of forecasts or general climate analysis. This package is specifically designed for comparing experimental and observational datasets. It provides functionality for data retrieval, post-processing, skill score computation against observations, and visualization. Compared to 's2dverification', 's2dv' is more compatible with the package 'startR', able to use multiple cores for computation and handle multi-dimensional arrays with a higher flexibility. The Climate Data Operators (CDO) version used in development is 1.9.8. Implements methods described in Wilks (2011) <doi:10.1016/B978-0-12-385022-5.00008-7>, DelSole and Tippett (2016) <doi:10.1175/MWR-D-15-0218.1>, Kharin et al. (2012) <doi:10.1029/2012GL052647>, Doblas-Reyes et al. (2003) <doi:10.1007/s00382-003-0350-4>.
Author: BSC-CNS [aut, cph], An-Chi Ho [aut], Nuria Perez-Zanon [aut], Roberto Bilbao [ctb], Josep Cos [ctb], Carlos Delgado [ctb], Llorenc Lledo [ctb], Andrea Manrique [ctb], Deborah Verfaillie [ctb], Eva Rifa [ctb], Victoria Agudetse [ctb], Nadia Milders [c [...truncated...]
Maintainer: Ariadna Batalla <ariadna.batalla@bsc.es>

Diff between s2dv versions 2.2.0 dated 2025-09-25 and 2.2.1 dated 2025-11-03

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Package NMsim updated to version 0.2.6 with previous version 0.2.5 dated 2025-09-05

Title: Seamless 'Nonmem' Simulation Platform
Description: A complete and seamless 'Nonmem' simulation interface within R. Turns 'Nonmem' control streams into simulation control streams, executes them with specified simulation input data and returns the results. The simulation is performed by 'Nonmem', eliminating manual work and risks of re-implementation of models in other tools.
Author: Philip Delff [aut, cre], Brian Reilly [ctb], Sanaya Shroff [ctb], Boris Grinshpun [ctb]
Maintainer: Philip Delff <philip@delff.dk>

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Package DSI updated to version 1.8.0 with previous version 1.7.1 dated 2024-11-03

Title: 'DataSHIELD' Interface
Description: 'DataSHIELD' is an infrastructure and series of R packages that enables the remote and 'non-disclosive' analysis of sensitive research data. This package defines the API that is to be implemented by 'DataSHIELD' compliant data repositories.
Author: Yannick Marcon [aut, cre] , Amadou Gaye [ctb] , Tim Cadman [ctb] , Paul Burton [ctb]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

Diff between DSI versions 1.7.1 dated 2024-11-03 and 1.8.0 dated 2025-11-03

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Package Rd2roxygen updated to version 1.17 with previous version 1.16 dated 2024-04-15

Title: Convert Rd to 'Roxygen' Documentation
Description: Functions to convert Rd to 'roxygen' documentation. It can parse an Rd file to a list, create the 'roxygen' documentation and update the original R script (e.g. the one containing the definition of the function) accordingly. This package also provides utilities that can help developers build packages using 'roxygen' more easily. The 'formatR' package can be used to reformat the R code in the examples sections so that the code will be more readable.
Author: Hadley Wickham [aut], Yihui Xie [aut, cre]
Maintainer: Yihui Xie <xie@yihui.name>

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Package predhy.GUI updated to version 2.1.1 with previous version 2.1 dated 2025-04-14

Title: Genomic Prediction of Hybrid Performance with Graphical User Interface
Description: Performs genomic prediction of hybrid performance using eight GS methods including GBLUP, BayesB, RKHS, PLS, LASSO, Elastic net, XGBoost and LightGBM. GBLUP: genomic best liner unbiased prediction, RKHS: reproducing kernel Hilbert space, PLS: partial least squares regression, LASSO: least absolute shrinkage and selection operator, XGBoost: extreme gradient boosting, LightGBM: light gradient boosting machine. It also provides fast cross-validation and mating design scheme for training population (Xu S et al (2016) <doi:10.1111/tpj.13242>; Xu S (2017) <doi:10.1534/g3.116.038059>). A complete manual for this package is provided in the manual folder of the package installation directory. You can locate the manual by running the following command in R: system.file("manual", package = "predhy.GUI").
Author: Yang Xu [aut], Guangning Yu [aut], Yuxiang Zhang [aut, cre], Yanru Cui [ctb], Shizhong Xu [ctb], Chenwu Xu [ctb]
Maintainer: Yuxiang Zhang <yuxiangzhang_99@foxmail.com>

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Package BFS updated to version 0.7.0 with previous version 0.6.0 dated 2025-06-09

Title: Get Data from the Swiss Federal Statistical Office
Description: Search and download data from the Swiss Federal Statistical Office (BFS) APIs <https://www.bfs.admin.ch/>.
Author: Felix Luginbuhl [aut, cre, cph] , Marius Hodel [ctb] , Janosch Brenzel-Weiss [ctb], Joao Martins [ctb], Philipp Baumann [ctb]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

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Package PRDA updated to version 1.0.2 with previous version 1.0.0 dated 2020-12-08

Title: Conduct a Prospective or Retrospective Design Analysis
Description: An implementation of the "Design Analysis" proposed by Gelman and Carlin (2014) <doi:10.1177/1745691614551642>. It combines the evaluation of Power-Analysis with other inferential-risks as Type-M error (i.e. Magnitude) and Type-S error (i.e. Sign). See also Altoè et al. (2020) <doi:10.3389/fpsyg.2019.02893> and Bertoldo et al. (2020) <doi:10.31234/osf.io/q9f86>.
Author: Claudio Zandonella Callegher [aut, cre] , Massimiliano Pastore [aut] , Angela Andreella [aut] , Anna Vesely [aut] , Enrico Toffalini [aut] , Giulia Bertoldo [aut] , Gianmarco Altoe [aut]
Maintainer: Claudio Zandonella Callegher <claudiozandonella@gmail.com>

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Package disordR updated to version 0.9-8-5 with previous version 0.9-8-4 dated 2024-11-13

Title: Non-Ordered Vectors
Description: Functionality for manipulating values of associative maps. The package is a dependency for mvp-type packages that use the STL map class: it traps plausible idiom that is ill-defined (implementation-specific) and returns an informative error, rather than returning a possibly incorrect result. To cite the package in publications please use Hankin (2022) <doi:10.48550/ARXIV.2210.03856>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package SemNeT updated to version 1.4.5 with previous version 1.4.4 dated 2023-08-12

Title: Methods and Measures for Semantic Network Analysis
Description: Implements several functions for the analysis of semantic networks including different network estimation algorithms, partial node bootstrapping (Kenett, Anaki, & Faust, 2014 <doi:10.3389/fnhum.2014.00407>), random walk simulation (Kenett & Austerweil, 2016 <http://alab.psych.wisc.edu/papers/files/Kenett16CreativityRW.pdf>), and a function to compute global network measures. Significance tests and plotting features are also implemented.
Author: Alexander P. Christensen [aut, cre] , Yoed N. Kenett [aut, ctb]
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>

Diff between SemNeT versions 1.4.4 dated 2023-08-12 and 1.4.5 dated 2025-11-03

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Package measuRing updated to version 0.5.2 with previous version 0.5.1 dated 2025-03-27

Title: Detection and Control of Tree-Ring Widths on Scanned Image Sections
Description: Identification of ring borders on scanned image sections from dendrochronological samples. Processing of image reflectances to produce gray matrices and time series of smoothed gray values. Luminance data is plotted on segmented images for users to perform both: visual identification of ring borders or control of automatic detection. Routines to visually include/exclude ring borders on the R graphical devices, or automatically detect ring borders using a linear detection algorithm. This algorithm detects ring borders according to positive/negative extreme values in the smoothed time-series of gray values. Most of the in-package routines can be recursively implemented using the multiDetect() function.
Author: Wilson Lara [aut, cre] , Carlos Sierra [aut] , Felipe Bravo [aut]
Maintainer: Wilson Lara <wilarhen@gmail.com>

Diff between measuRing versions 0.5.1 dated 2025-03-27 and 0.5.2 dated 2025-11-03

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Package LipidMS updated to version 3.1.1 with previous version 3.1.0 dated 2025-10-27

Title: Lipid Annotation for LC-MS/MS DDA or DIA Data
Description: Lipid annotation in untargeted LC-MS lipidomics based on fragmentation rules. Alcoriza-Balaguer MI, Garcia-Canaveras JC, Lopez A, Conde I, Juan O, Carretero J, Lahoz A (2019) <doi:10.1021/acs.analchem.8b03409>.
Author: M Isabel Alcoriza-Balaguer [aut, cre], Celia Regal-Marques [aut]
Maintainer: M Isabel Alcoriza-Balaguer <maribel_alcoriza@iislafe.es>

Diff between LipidMS versions 3.1.0 dated 2025-10-27 and 3.1.1 dated 2025-11-03

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Package schwabr updated to version 0.1.4 with previous version 0.1.3 dated 2025-02-24

Title: 'Schwab API' Interface
Description: Use R to interface with the 'Charles Schwab Trade API' <https://developer.schwab.com/>. Functions include authentication, trading, price requests, account information, and option chains. A user will need a Schwab brokerage account and Schwab Individual Developer app. See README for authentication process and examples.
Author: Anthony Trevisan [aut, cre]
Maintainer: Anthony Trevisan <anthonytrevisan@gmail.com>

Diff between schwabr versions 0.1.3 dated 2025-02-24 and 0.1.4 dated 2025-11-03

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Package priorCON updated to version 0.1.7 with previous version 0.1.6 dated 2025-08-19

Title: Graph Community Detection Methods into Systematic Conservation Planning
Description: An innovative tool-set that incorporates graph community detection methods into systematic conservation planning. It is designed to enhance spatial prioritization by focusing on the protection of areas with high ecological connectivity. Unlike traditional approaches that prioritize individual planning units, 'priorCON' focuses on clusters of features that exhibit strong ecological linkages. The 'priorCON' package is built upon the 'prioritizr' package <doi:10.32614/CRAN.package.prioritizr>, using commercial and open-source exact algorithm solvers that ensure optimal solutions to prioritization problems.
Author: Christos Adam [aut, cre] , Aggeliki Doxa [aut] , Nikolaos Nagkoulis [aut] , Maria Papazekou [aut] , Antonios D. Mazaris [aut] , Stelios Katsanevakis [aut]
Maintainer: Christos Adam <econp266@econ.soc.uoc.gr>

Diff between priorCON versions 0.1.6 dated 2025-08-19 and 0.1.7 dated 2025-11-03

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Package philentropy updated to version 0.10.0 with previous version 0.9.0 dated 2024-11-12

Title: Similarity and Distance Quantification Between Probability Functions
Description: Computes 46 optimized distance and similarity measures for comparing probability functions (Drost (2018) <doi:10.21105/joss.00765>). These comparisons between probability functions have their foundations in a broad range of scientific disciplines from mathematics to ecology. The aim of this package is to provide a core framework for clustering, classification, statistical inference, goodness-of-fit, non-parametric statistics, information theory, and machine learning tasks that are based on comparing univariate or multivariate probability functions.
Author: Hajk-Georg Drost [aut, cre] , Jakub Nowosad [ctb] , Andrew Brown [ctb]
Maintainer: Hajk-Georg Drost <hajk-georg.drost@tuebingen.mpg.de>

Diff between philentropy versions 0.9.0 dated 2024-11-12 and 0.10.0 dated 2025-11-03

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Package latentFactoR updated to version 0.0.7 with previous version 0.0.6 dated 2024-04-18

Title: Data Simulation Based on Latent Factors
Description: Generates data based on latent factor models. Data can be continuous, polytomous, dichotomous, or mixed. Skews, cross-loadings, wording effects, population errors, and local dependencies can be added. All parameters can be manipulated. Data categorization is based on Garrido, Abad, and Ponsoda (2011) <doi:10.1177/0013164410389489>.
Author: Alexander Christensen [aut, cre] , Luis Eduardo Garrido [aut] , Maria Dolores Nieto Canaveras [aut], Hudson Golino [aut] , Marcos Jimenez [aut], Francisco Abad [ctb], Eduardo Garcia-Garzon [ctb], Vithor Franco [aut]
Maintainer: Alexander Christensen <alexpaulchristensen@gmail.com>

Diff between latentFactoR versions 0.0.6 dated 2024-04-18 and 0.0.7 dated 2025-11-03

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New package whatifbandit with initial version 0.3.0
Package: whatifbandit
Title: Analyzing Randomized Experiments as Multi-Arm Bandits
Version: 0.3.0
Description: Simulates the results of completed randomized controlled trials, as if they had been conducted as adaptive Multi-Arm Bandit (MAB) trials instead. Augmented inverse probability weighted estimation (AIPW), outlined by Hadad et al. (2021) <doi:10.1073/pnas.2014602118>, is used to robustly estimate the probability of success for each treatment arm under the adaptive design. Provides customization options to simulate perfect/imperfect information, stationary/non-stationary bandits, blocked treatment assignments, along with control augmentation, and other hybrid strategies for assigning treatment arms. The methods used in simulation were inspired by Offer-Westort et al. (2021) <doi:10.1111/ajps.12597>.
License: GPL (>= 3)
URL: https://github.com/Noch05/whatifbandit
BugReports: https://github.com/Noch05/whatifbandit/issues
Depends: R (>= 4.1.0)
Imports: bandit, data.table, dplyr, furrr, ggplot2, lubridate, purrr, randomizr, rlang, tibble, tidyr
Suggests: future, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-29 16:28:47 UTC; noaho
Author: Noah Ochital [aut, cre, cph] , Ryan T. Moore [ctb, cph]
Maintainer: Noah Ochital <noahochital@icloud.com>
Repository: CRAN
Date/Publication: 2025-11-03 10:20:02 UTC

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New package vaccinationimpact with initial version 0.1.0
Package: vaccinationimpact
Title: Impact Study of Vaccination Campaigns
Version: 0.1.0
Description: Tools to estimate the impact of vaccination campaigns at population level (number of events averted, number of avertable events, number needed to vaccinate). Inspired by the methodology proposed by Foppa et al. (2015) <doi:10.1016/j.vaccine.2015.02.042> and Machado et al. (2019) <doi:10.2807/1560-7917.ES.2019.24.45.1900268> for influenza vaccination impact.
License: MIT + file LICENSE
URL: https://github.com/Epiconcept-Paris/vaccinationimpact/, https://epiconcept-paris.github.io/vaccinationimpact/
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-29 15:50:47 UTC; Yohann Mansiaux
Author: Yohann Mansiaux [aut, cre], Alexandre Blake [aut], James Humphreys [aut], Baltazar Nunes [aut]
Maintainer: Yohann Mansiaux <y.mansiaux@epiconcept.fr>
Repository: CRAN
Date/Publication: 2025-11-03 10:20:10 UTC

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New package fmriAR with initial version 0.2.0
Package: fmriAR
Title: Fast AR and ARMA Noise Whitening for Functional MRI (fMRI) Design and Data
Version: 0.2.0
Author: Bradley Buchsbaum [aut, cre]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>
Description: Lightweight utilities to estimate autoregressive (AR) and autoregressive moving average (ARMA) noise models from residuals and apply matched generalized least squares to whiten functional magnetic resonance imaging (fMRI) design and data matrices. The ARMA estimator follows a classic 1982 approach <doi:10.1093/biomet/69.1.81>, and a restricted AR family mirrors workflows described by Cox (2012) <doi:10.1016/j.neuroimage.2011.08.056>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: Rcpp, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, abind, withr
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: OpenMP (optional)
VignetteBuilder: knitr
URL: https://bbuchsbaum.github.io/fmriAR/
NeedsCompilation: yes
Packaged: 2025-10-29 13:23:04 UTC; bbuchsbaum
Repository: CRAN
Date/Publication: 2025-11-03 10:10:02 UTC

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New package apor with initial version 0.1.0
Package: apor
Title: Assessment of Predictions for an Ordinal Response
Version: 0.1.0
Description: Produces several metrics to assess the prediction of ordinal categories based on the estimated probability distribution for each unit of analysis produced by any model returning a matrix with these probabilities.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-29 15:42:45 UTC; JEU
Author: Javier Espinosa-Brito [aut, cre]
Maintainer: Javier Espinosa-Brito <javier.espinosa.b@usach.cl>
Repository: CRAN
Date/Publication: 2025-11-03 10:30:02 UTC

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Package nanonext updated to version 1.7.2 with previous version 1.7.1 dated 2025-10-01

Title: NNG (Nanomsg Next Gen) Lightweight Messaging Library
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. NNG is a socket library for reliable, high-performance messaging over in-process, IPC, TCP, WebSocket and secure TLS transports. Implements 'Scalability Protocols', a standard for common communications patterns including publish/subscribe, request/reply and service discovery. As its own threaded concurrency framework, provides a toolkit for asynchronous programming and distributed computing. Intuitive 'aio' objects resolve automatically when asynchronous operations complete, and synchronisation primitives allow R to wait upon events signalled by concurrent threads.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph], R Consortium [fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>

Diff between nanonext versions 1.7.1 dated 2025-10-01 and 1.7.2 dated 2025-11-03

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Package mini007 updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-29

Title: Lightweight Framework for Orchestrating Multi-Agent Large Language Models
Description: Provides tools for creating agents with persistent state using R6 classes <https://cran.r-project.org/package=R6> and the 'ellmer' package <https://cran.r-project.org/package=ellmer>. Tracks prompts, messages, and agent metadata for reproducible, multi-turn large language model sessions.
Author: Mohamed El Fodil Ihaddaden [aut, cre]
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>

Diff between mini007 versions 0.2.0 dated 2025-10-29 and 0.2.1 dated 2025-11-03

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Package jSDM updated to version 0.2.7 with previous version 0.2.6 dated 2023-07-22

Title: Joint Species Distribution Models
Description: Fits joint species distribution models ('jSDM') in a hierarchical Bayesian framework (Warton and al. 2015 <doi:10.1016/j.tree.2015.09.007>). The Gibbs sampler is written in 'C++'. It uses 'Rcpp', 'Armadillo' and 'GSL' to maximize computation efficiency.
Author: Ghislain Vieilledent [aut, cre] , Jeanne Clement [aut] , Frederic Gosselin [ctb] , CIRAD [cph, fnd]
Maintainer: Ghislain Vieilledent <ghislain.vieilledent@cirad.fr>

Diff between jSDM versions 0.2.6 dated 2023-07-22 and 0.2.7 dated 2025-11-03

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Package hedgehog updated to version 0.2 with previous version 0.1 dated 2018-08-22

Title: Property-Based Testing
Description: Hedgehog will eat all your bugs. 'Hedgehog' is a property-based testing package in the spirit of 'QuickCheck'. With 'Hedgehog', one can test properties of their programs against randomly generated input, providing far superior test coverage compared to unit testing. One of the key benefits of 'Hedgehog' is integrated shrinking of counterexamples, which allows one to quickly find the cause of bugs, given salient examples when incorrect behaviour occurs.
Author: Huw Campbell [aut, cre]
Maintainer: Huw Campbell <huw.campbell@gmail.com>

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Package CompositionalClust updated to version 1.2 with previous version 1.1 dated 2025-09-24

Title: Clustering with Compositional Data
Description: Cluster analysis with compositional data using the alpha--transformation. Relevant papers include: Tsagris M. and Kontemeniotis N. (2025), <doi:10.48550/arXiv.2509.05945>. Tsagris M.T., Preston S. and Wood A.T.A. (2011), <doi:10.48550/arXiv.1106.1451>. Garcia-Escudero Luis A., Gordaliza Alfonso, Matran Carlos, Mayo-Iscar Agustin. (2008), <doi:10.1214/07-AOS515>.
Author: Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between CompositionalClust versions 1.1 dated 2025-09-24 and 1.2 dated 2025-11-03

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New package ssebiEF with initial version 1.0.1
Package: ssebiEF
Title: Calculation of SSEBI and Evaporative Fraction from Raster Data
Version: 1.0.1
Date: 2025-10-21
Description: Calculates a modified Simplified Surface Energy Balance Index (SSEBI) and the Evaporative Fraction (EF) using geospatial raster data such as albedo and surface-air temperature difference (TS–TA). The SSEBI is computed from albedo and TS–TA to estimate surface moisture and evaporative dynamics, providing a robust assessment of surface dryness while accounting for atmospheric variations. Based on Roerink, Su, and Menenti (2000) <doi:10.1016/S1464-1909(99)00128-8>.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, stats, terra
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-28 17:51:10 UTC; hamelin
Author: Gaelle Hamelin [aut, cre]
Maintainer: Gaelle Hamelin <gaelle.hamelin@institut-agro.fr>
Repository: CRAN
Date/Publication: 2025-11-03 08:20:02 UTC

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Package sdbuildR updated to version 1.0.7 with previous version 1.0.5 dated 2025-10-29

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>

Diff between sdbuildR versions 1.0.5 dated 2025-10-29 and 1.0.7 dated 2025-11-03

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New package pandemonium with initial version 0.2.4
Package: pandemonium
Title: High Dimensional Analysis in Linked Spaces
Version: 0.2.4
Description: A 'shiny' GUI that performs high dimensional cluster analysis. This tool performs data preparation, clustering and visualisation within a dynamic GUI. With interactive methods allowing the user to change settings all without having to to leave the GUI. An earlier version of this package was described in Laa and Valencia (2022) <doi:10.1140/epjp/s13360-021-02310-1>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: tourr, stats, tibble, ggplot2, RColorBrewer, dplyr, dendextend, fpc, shiny, shinythemes, DT, tidyr, tidyselect, magrittr, detourr (>= 0.2.0), crosstalk, Rtsne, plotly, alphahull, uwot, shinyFeedback, ggpcp, rlang, viridis
LazyData: true
Suggests: knitr, readr, rmarkdown, testthat (>= 3.0.0), VIM
VignetteBuilder: knitr
URL: https://gabrielmccoy.github.io/pandemonium/
NeedsCompilation: no
Packaged: 2025-10-29 06:54:39 UTC; gabrielmccoy
Author: Gabriel McCoy [aut, cre], Ursula Laa [aut] , German Valencia [aut]
Maintainer: Gabriel McCoy <gabe.mccoy02@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-03 08:30:02 UTC

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New package MannWhitneyCopula with initial version 0.1.1
Package: MannWhitneyCopula
Title: Computing Mann-Whitney Effect Based on Copulas
Version: 0.1.1
Description: Computing the Mann-Whitney effect based on copula models. Estimation of the association parameter in survival copula models. A description of the underlying methods is described in Nakazono et al. (2024) <doi:10.3390/math12101453> and Nakazono et al. (accepted for publication in Statistical Papers).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: survival, tidyverse, ggplot2, purrr, dplyr, tidyr
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-29 08:34:29 UTC; nakazono_kosuke
Author: Kosuke Nakazono [aut, cre]
Maintainer: Kosuke Nakazono <nakazono@ism.ac.jp>
Repository: CRAN
Date/Publication: 2025-11-03 08:50:02 UTC

More information about MannWhitneyCopula at CRAN
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Package EstimateBreed readmission to version 1.0.2 with previous version 1.0.1 dated 2025-04-17

Title: Estimation of Environmental Variables and Genetic Parameters
Description: Performs analyzes and estimates of environmental covariates and genetic parameters related to selection strategies and development of superior genotypes. It has two main functionalities, the first being about prediction models of covariates and environmental processes, while the second deals with the estimation of genetic parameters and selection strategies. Designed for researchers and professionals in genetics and environmental sciences, the package combines statistical methods for modeling and data analysis. This includes the plastochron estimate proposed by Porta et al. (2024) <doi:10.1590/1807-1929/agriambi.v28n10e278299>, Stress indices for genotype selection referenced by Ghazvini et al. (2024) <doi:10.1007/s10343-024-00981-1>, the Environmental Stress Index described by Tazzo et al. (2024) <https://revistas.ufg.br/vet/article/view/77035>, industrial quality indices of wheat genotypes (Szareski et al., 2019), <doi:10.4238/gmr18223>, Ear Indexes estimation [...truncated...]
Author: Willyan Junior Adorian Bandeira [aut, cre] , Ivan Ricardo Carvalho [aut, ctb] , Murilo Vieira Loro [aut, ctb] , Leonardo Cesar Pradebon [aut, ctb] , Jose Antonio Gonzalez da Silva [aut, ctb]
Maintainer: Willyan Junior Adorian Bandeira <bandeira.wjab@gmail.com>

This is a re-admission after prior archival of version 1.0.1 dated 2025-04-17

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Package rjdqa updated to version 0.1.6 with previous version 0.1.5 dated 2024-06-15

Title: Quality Assessment for Seasonal Adjustment
Description: Add-in to the 'RJDemetra' package on seasonal adjustments. It allows to produce dashboards to summarise models and quickly check the quality of the seasonal adjustment.
Author: Alain Quartier-la-Tente [aut, cre]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>

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Package treePlotArea updated to version 3.0.0 with previous version 2.1.0 dated 2024-04-04

Title: Correction Factors for Tree Plot Areas Intersected by Stand Boundaries
Description: The German national forest inventory uses angle count sampling, a sampling method first published as `Bitterlich, W.: Die Winkelzählmessung. Allgemeine Forst- und Holzwirtschaftliche Zeitung, 58. Jahrg., Folge 11/12 vom Juni 1947` and extended by Grosenbaugh (<https://academic.oup.com/jof/article-abstract/50/1/32/4684174>) as probability proportional to size sampling. When plots are located near stand boundaries, their sizes and hence their probabilities need to be corrected.
Author: Andreas Dominik Cullmann [aut, cre], Bernhard Boesch [ctb], Christoph Fischer [ctb], Gerald Kaendler [ctb]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

Diff between treePlotArea versions 2.1.0 dated 2024-04-04 and 3.0.0 dated 2025-11-03

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Package report updated to version 0.6.2 with previous version 0.6.1 dated 2025-02-07

Title: Automated Reporting of Results and Statistical Models
Description: The aim of the 'report' package is to bridge the gap between R’s output and the formatted results contained in your manuscript. This package converts statistical models and data frames into textual reports suited for publication, ensuring standardization and quality in results reporting.
Author: Dominique Makowski [aut] , Daniel Luedecke [aut] , Indrajeet Patil [aut] , Remi Theriault [aut, cre] , Mattan S. Ben-Shachar [aut] , Brenton M. Wiernik [aut] , Rudolf Siegel [ctb] , Camden Bock [ctb]
Maintainer: Remi Theriault <remi.theriault@mail.mcgill.ca>

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Package copBasic updated to version 2.2.11 with previous version 2.2.9 dated 2025-09-29

Title: General Bivariate Copula Theory and Many Utility Functions
Description: Extensive functions for bivariate copula (bicopula) computations and related operations for bicopula theory. The lower, upper, product, and select other bicopula are implemented along with operations including the diagonal, survival copula, dual of a copula, co-copula, and numerical bicopula density. Level sets, horizontal and vertical sections are supported. Numerical derivatives and inverses of a bicopula are provided through which simulation is implemented. Bicopula composition, convex combination, asymmetry extension, and products also are provided. Support extends to the Kendall Function as well as the Lmoments thereof. Kendall Tau, Spearman Rho and Footrule, Gini Gamma, Blomqvist Beta, Hoeffding Phi, Schweizer- Wolff Sigma, tail dependency, tail order, skewness, and bivariate Lmoments are implemented, and positive/negative quadrant dependency, left (right) increasing (decreasing) are available. Other features include Kullback-Leibler Divergence, Vuong Procedure, spectral measure, [...truncated...]
Author: William Asquith [aut, cre]
Maintainer: William Asquith <william.asquith@ttu.edu>

Diff between copBasic versions 2.2.9 dated 2025-09-29 and 2.2.11 dated 2025-11-03

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