Fri, 19 Dec 2025

Package mindr readmission to version 1.4.1 with previous version 1.3.2 dated 2021-11-22

Title: Generate Mind Maps
Description: Convert Markdown ('.md') or R Markdown ('.Rmd') texts, R scripts, directory structures, and other hierarchical structured documents into mind map widgets or 'Freemind' codes or 'Mermaid' mind map codes, and vice versa. 'Freemind' mind map ('.mm') files can be opened by or imported to common mind map software such as 'Freemind' (<https://freemind.sourceforge.io/wiki/index.php/Main_Page>). 'Mermaid' mind map codes (<https://mermaid.js.org/>) can be directly embedded in documents.
Author: Peng Zhao [aut, cre]
Maintainer: Peng Zhao <pengzhao20@outlook.com>

This is a re-admission after prior archival of version 1.3.2 dated 2021-11-22

Diff between mindr versions 1.3.2 dated 2021-11-22 and 1.4.1 dated 2025-12-19

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Package interactionRCS updated to version 0.1.2 with previous version 0.1.1 dated 2023-11-21

Title: Calculate Estimates in Models with Interaction
Description: A tool to calculate and plot estimates from models in which an interaction between the main predictor and a continuous covariate has been specified. Methods used in the package refer to Harrell Jr FE (2015, ISBN:9783319330396); Durrleman S, Simon R. (1989) <doi:10.1002/sim.4780080504>; Greenland S. (1995) <doi:10.1097/00001648-199507000-00005>.
Author: Giorgio Melloni [aut, cre] , Andrea Bellavia [aut] , Hong Xiong [aut]
Maintainer: Giorgio Melloni <melloni.giorgio@gmail.com>

Diff between interactionRCS versions 0.1.1 dated 2023-11-21 and 0.1.2 dated 2025-12-19

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More information about interactionRCS at CRAN
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Package ursa updated to version 3.11.5 with previous version 3.11.4 dated 2025-02-20

Title: Non-Interactive Spatial Tools for Raster Processing and Visualization
Description: S3 classes and methods for manipulation with georeferenced raster data: reading/writing, processing, multi-panel visualization.
Author: Nikita Platonov [aut, cre]
Maintainer: Nikita Platonov <platonov@sev-in.ru>

Diff between ursa versions 3.11.4 dated 2025-02-20 and 3.11.5 dated 2025-12-19

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Package datareportR updated to version 0.1.2 with previous version 0.1.1 dated 2025-10-20

Title: Fast Data Summary Reports
Description: Generates an RMarkdown data report with two components: a summary of an input dataset and a diff of the dataset relative to an old version.
Author: Bryant Cong [aut, cre], Alex Gordon [aut]
Maintainer: Bryant Cong <bryant.bcp@gmail.com>

Diff between datareportR versions 0.1.1 dated 2025-10-20 and 0.1.2 dated 2025-12-19

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More information about datareportR at CRAN
Permanent link

Package TrialSimulator updated to version 1.7.0 with previous version 1.3.0 dated 2025-09-26

Title: Clinical Trial Simulator
Description: Simulate phase II and/or phase III clinical trials. It supports various types of endpoints and adaptive strategies. Tools for carrying out graphical testing procedure and combination test under group sequential design are also provided.
Author: Han Zhang [cre, aut]
Maintainer: Han Zhang <zhangh.ustc@gmail.com>

Diff between TrialSimulator versions 1.3.0 dated 2025-09-26 and 1.7.0 dated 2025-12-19

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Package Rediscover readmission to version 0.3.3 with previous version 0.3.2 dated 2023-04-14

Title: Identify Mutually Exclusive Mutations
Description: An optimized method for identifying mutually exclusive genomic events. Its main contribution is a statistical analysis based on the Poisson-Binomial distribution that takes into account that some samples are more mutated than others. See [Canisius, Sander, John WM Martens, and Lodewyk FA Wessels. (2016) "A novel independence test for somatic alterations in cancer shows that biology drives mutual exclusivity but chance explains most co-occurrence." Genome biology 17.1 : 1-17. <doi:10.1186/s13059-016-1114-x>]. The mutations matrices are sparse matrices. The method developed takes advantage of the advantages of this type of matrix to save time and computing resources.
Author: Juan A. Ferrer-Bonsoms [aut, cre], Laura Jareno [aut], Angel Rubio [aut]
Maintainer: Juan A. Ferrer-Bonsoms <jafhernandez@tecnun.es>

This is a re-admission after prior archival of version 0.3.2 dated 2023-04-14

Diff between Rediscover versions 0.3.2 dated 2023-04-14 and 0.3.3 dated 2025-12-19

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Package matRiks updated to version 0.1.5 with previous version 0.1.4 dated 2025-12-19

Title: Generates Raven-Like Matrices According to Rules
Description: Generates Raven like matrices according to different rules and the response list associated to the matrix. The package can generate matrices composed of 4 or 9 cells, along with a response list of 11 elements (the correct response + 10 incorrect responses). The matrices can be generated according to both logical rules (i.e., the relationships between the elements in the matrix are manipulated to create the matrix) and visual-spatial rules (i.e., the visual or spatial characteristics of the elements are manipulated to generate the matrix). The graphical elements of this package are based on the 'DescTools' package. This package has been developed within the PRIN2020 Project (Prot. 20209WKCLL) titled "Computerized, Adaptive and Personalized Assessment of Executive Functions and Fluid Intelligence" and founded by the Italian Ministry of Education and Research.
Author: Andrea Brancaccio [aut, ctb, cph, cre], Ottavia M. Epifania [aut, ctb, com], Debora de Chiusole [ctb]
Maintainer: Andrea Brancaccio <andreabrancaccio01@gmail.com>

Diff between matRiks versions 0.1.4 dated 2025-12-19 and 0.1.5 dated 2025-12-19

 DESCRIPTION                    |    9 +++++----
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New package HZIP with initial version 0.1.1
Package: HZIP
Title: Likelihood-Based Inference for Joint Modeling of Correlated Count and Binary Outcomes with Extra Variability and Zeros
Version: 0.1.1
Author: Lizandra C. Fabio [aut], Jalmar M. F. Carrasco [aut, cre], Victor H. Lachos [aut], Ming-Hui Chen [aut]
Maintainer: Jalmar M. F. Carrasco <carrasco.jalmar@ufba.br>
Description: Inference approach for jointly modeling correlated count and binary outcomes. This formulation allows simultaneous modeling of zero inflation via the Bernoulli component while providing a more accurate assessment of the Hierarchical Zero-Inflated Poisson's parsimony (Lizandra C. Fabio, Jalmar M. F. Carrasco, Victor H. Lachos and Ming-Hui Chen, Likelihood-based inference for joint modeling of correlated count and binary outcomes with extra variability and zeros, 2025, under submission).
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppParallel, RcppArmadillo
Imports: Rcpp, Formula, pscl, stats, tibble, dplyr, statmod, RcppParallel, cubature, VGAM, ggplot2
Depends: R (>= 3.5)
URL: https://github.com/carrascojalmar/HZIP
BugReports: https://github.com/carrascojalmar/HZIP/issues
NeedsCompilation: yes
Packaged: 2025-12-19 14:10:57 UTC; carra
Repository: CRAN
Date/Publication: 2025-12-19 17:10:15 UTC

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Package evsim updated to version 1.7.1 with previous version 1.7.0 dated 2025-10-08

Title: Electric Vehicle Charging Sessions Simulation
Description: Simulation of Electric Vehicles charging sessions using Gaussian models, together with time-series power demand calculations.
Author: Marc Canigueral [aut, cre, cph]
Maintainer: Marc Canigueral <marccanyigueral@gmail.com>

Diff between evsim versions 1.7.0 dated 2025-10-08 and 1.7.1 dated 2025-12-19

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New package WaterBalanceR with initial version 0.1.19
Package: WaterBalanceR
Title: Calculate High Resolution Water Balance of Starch Potatoes
Version: 0.1.19
Description: Calculates the water balance of starch potatoes from Normalized Distance Vegetation Index (NDVI) images, German Weather Service (DWD) reference evapotranspiration, German Weather Service RADOLAN precipitation data and irrigation information. For more details see Piernicke et al. (2025) <doi:10.3390/rs17183227>.
License: AGPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: raster, sf, janitor, zoo, lubridate, stars, ggplot2, tidyr, rdwd, utils, terra, gridExtra, httr, RSelenium, stringr, rvest, sp, geosphere, RCurl, grDevices, tidyselect, openeo, magrittr, jsonlite, dplyr, readxl, scales, methods, rlang
URL: https://doi.org/10.5281/zenodo.15046338, https://github.com/thomasp-gfz/WaterBalanceR_JOSS
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-12-15 14:23:26 UTC; asinus
Author: Thomas Piernicke [aut, cre]
Maintainer: Thomas Piernicke <thomasp@gfz.de>
Repository: CRAN
Date/Publication: 2025-12-19 15:10:02 UTC

More information about WaterBalanceR at CRAN
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New package ukc19 with initial version 0.0.3
Package: ukc19
Title: Datasets from the UK COVID-19 Outbreak
Version: 0.0.3
Description: Provides easy access to a curated selection of pre-processed data sets relevant to the COVID-19 outbreak in the UK for teaching and demonstration purposes.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Language: en-GB
URL: https://ai4ci.github.io/ukc19/, https://github.com/ai4ci/ukc19
Imports: dplyr
NeedsCompilation: no
Packaged: 2025-12-15 16:58:03 UTC; vp22681
Author: Robert Challen [aut, cre] , AI4CI Hub; UKRI AI Programme and EPSRC [fnd, cph]
Maintainer: Robert Challen <rob.challen@bristol.ac.uk>
Repository: CRAN
Date/Publication: 2025-12-19 15:20:02 UTC

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Package SkeletalVis updated to version 0.1.2 with previous version 0.1.1 dated 2025-05-06

Title: Exploration and Visualisation of Skeletal Transcriptomics Data
Description: Allows search and visualisation of a collection of uniformly processed skeletal transcriptomic datasets. Includes methods to identify datasets where genes of interest are differentially expressed and find datasets with a similar gene expression pattern to a query dataset Soul J, Hardingham TE, Boot-Handford RP, Schwartz JM (2019) <doi:10.1093/bioinformatics/bty947>.
Author: Jamie Soul [aut, cre, cph]
Maintainer: Jamie Soul <jamie.soul@liverpool.ac.uk>

Diff between SkeletalVis versions 0.1.1 dated 2025-05-06 and 0.1.2 dated 2025-12-19

 DESCRIPTION                            |    6 -
 MD5                                    |   21 +++---
 NEWS.md                                |    5 +
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 tests/testthat/test-load_skeletalvis.R |   33 ++++++++++
 12 files changed, 170 insertions(+), 53 deletions(-)

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Package robslopes updated to version 1.1.4 with previous version 1.1.3 dated 2023-04-27

Title: Fast Algorithms for Robust Slopes
Description: Fast algorithms for the Theil-Sen estimator, Siegel's repeated median slope estimator, and Passing-Bablok regression. The implementation is based on algorithms by Dillencourt et. al (1992) <doi:10.1142/S0218195992000020> and Matousek et. al (1998) <doi:10.1007/PL00009190>. The implementations are detailed in Raymaekers (2023) <doi:10.32614/RJ-2023-012> and Raymaekers J., Dufey F. (2022) <doi:10.48550/arXiv.2202.08060>. All algorithms run in quasilinear time.
Author: Jakob Raymaekers [aut, cre]
Maintainer: Jakob Raymaekers <jakob.raymaekers@uantwerpen.be>

Diff between robslopes versions 1.1.3 dated 2023-04-27 and 1.1.4 dated 2025-12-19

 DESCRIPTION                      |   19 ++++++++++++-------
 MD5                              |   10 +++++-----
 src/HelpFunctions.cpp            |    6 +++---
 src/rcpparma_Passing_Bablok.cpp  |    2 +-
 src/rcpparma_Theil_Sen.cpp       |    2 +-
 src/rcpparma_repeated_median.cpp |    6 +++---
 6 files changed, 25 insertions(+), 20 deletions(-)

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New package MetaRVM with initial version 1.0.0
Package: MetaRVM
Title: Meta-Population Compartmental Model for Respiratory Virus Diseases
Version: 1.0.0
Description: Simulates respiratory virus epidemics using meta-population compartmental models following Fadikar et. al. (2025) <doi:10.1101/2025.05.05.25327021>. 'MetaRVM' implements a stochastic SEIRD (Susceptible-Exposed-Infected-Recovered-Dead) framework with demographic stratification by age, race, and geographic zones. It supports complex epidemiological scenarios including asymptomatic and presymptomatic transmission, hospitalization dynamics, vaccination schedules, and time-varying contact patterns via mixing matrices.
URL: https://RESUME-Epi.github.io/MetaRVM/, https://github.com/RESUME-Epi/MetaRVM
BugReports: https://github.com/RESUME-Epi/MetaRVM/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: data.table, dplyr, ggplot2, magrittr, methods, odin, purrr, R6, tidyr, yaml
Suggests: dde, knitr, pkgdown, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-12-15 20:20:43 UTC; fadikar
Author: Arindam Fadikar [aut, cre, cph] , Charles Macal [ctb], Martinez Moyano Ignacio Javier [ctb], Ozik Jonathan [ctb]
Maintainer: Arindam Fadikar <afadikar@anl.gov>
Repository: CRAN
Date/Publication: 2025-12-19 15:20:13 UTC

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New package LSMjml with initial version 0.6.0
Package: LSMjml
Title: Fitting Latent Space Item Response Models using Joint Maximum Likelihood Estimation
Version: 0.6.0
Author: Dylan Molenaar [aut, cre]
Maintainer: Dylan Molenaar <d.molenaar@uva.nl>
Description: In Latent Space Item Response Models, subjects and items are embedded in a multidimensional Euclidean latent space. As such, interactions among persons, items, and person-item combinations can be revealed that are unmodelled in more conventional item response theory models. This package implements the methods from Molenaar & Jeon (in press) and can be used to fit Latent Space Item Response Models to data using joint maximum likelihood estimation. The package can handle binary data, ordinal data, and data with mixed scales. The package incorporates facilities for data simulation, rotation of the latent space, and K-fold cross-validation to select the number of dimensions of the latent space.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 1.0.12), lavaan, pROC, psych
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2025-12-15 14:34:34 UTC; dmolena1
Repository: CRAN
Date/Publication: 2025-12-19 15:10:08 UTC

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New package wmwAUC with initial version 0.2.0
Package: wmwAUC
Title: Wilcoxon-Mann-Whitney Test of No Group Discrimination
Version: 0.2.0
Date: 2025-12-07
Description: Provides inference for the Wilcoxon-Mann-Whitney test under the null hypothesis H0: AUC = 0.5 for continuous, discrete or mixed random variables. Traditional implementations test H0: F = G, which is inappropriately broad and leads to erroneous inferences. Methods are described in M. Grendar (2025) "Wilcoxon-Mann-Whitney Test of No Group Discrimination" <doi:10.48550/arXiv.2511.20308>.
License: MIT + file LICENSE
URL: https://github.com/grendar/wmwAUC
BugReports: https://github.com/grendar/wmwAUC/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Suggests: testthat (>= 3.0.0), ggsci, viridis, gemR, gss, knitr, rmarkdown, ggbeeswarm, ggplot2, qqplotr, rlang, twosamples, patchwork, sfsmisc, stats, VGAM
NeedsCompilation: no
Packaged: 2025-12-14 20:01:00 UTC; mg
Author: Marian Grendar [aut, cre]
Maintainer: Marian Grendar <marian.grendar@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-19 14:20:02 UTC

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New package ReVAMP with initial version 1.0.0
Package: ReVAMP
Title: Interface to 'Vamp' Audio Analysis Plugins
Version: 1.0.0
Date: 2025-12-03
Copyright: See the file COPYRIGHTS
Description: Provides an interface to the 'Vamp' audio analysis plugin system <https://www.vamp-plugins.org/> developed by Queen Mary University of London's Centre for Digital Music. Enables loading and running Vamp plugins for various audio analysis tasks including tempo detection, onset detection, spectral analysis, and audio feature extraction. Supports mono and stereo audio with automatic channel adaptation and domain conversion.
License: GPL (>= 2)
Imports: Rcpp
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), tuneR, knitr, rmarkdown, spelling
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://revamp.ebaker.me.uk/, https://github.com/edwbaker/ReVAMP
BugReports: https://github.com/edwbaker/ReVAMP/issues
Language: en-US
NeedsCompilation: yes
Packaged: 2025-12-14 21:02:22 UTC; edwab
Author: Ed Baker [aut, cre] , Authors of vamp-sdk [cph] , Mark Borgerding [cph]
Maintainer: Ed Baker <ed@ebaker.me.uk>
Repository: CRAN
Date/Publication: 2025-12-19 14:20:08 UTC

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New package quickOutlier with initial version 0.1.0
Package: quickOutlier
Title: Detect and Treat Outliers in Data Mining
Version: 0.1.0
Description: Implements a suite of tools for outlier detection and treatment in data mining. It includes univariate methods (Z-score, Interquartile Range), multivariate detection using Mahalanobis distance, and density-based detection (Local Outlier Factor) via the 'dbscan' package. It also provides functions for visualization using 'ggplot2' and data cleaning via Winsorization.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dbscan, ggplot2, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/daniellop1/quickOutlier
BugReports: https://github.com/daniellop1/quickOutlier/issues
NeedsCompilation: no
Packaged: 2025-12-15 12:16:19 UTC; dlopez
Author: Daniel Lopez Perez [aut, cre]
Maintainer: Daniel Lopez Perez <dlopez350@icloud.com>
Repository: CRAN
Date/Publication: 2025-12-19 15:00:02 UTC

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New package f1pits with initial version 0.1.0
Package: f1pits
Title: F1 Pit Stop Datasets
Version: 0.1.0
Maintainer: Jose Jordan-Soria <jjose.jjordan@gmail.com>
Description: Formula 1 pit stop data. The package provides information on teams and drivers across seasons (2025 or higher). It also includes a function to visualize pit stop performance.
Imports: dplyr, ggplot2, readr, tibble, httr, jsonlite, f1dataR
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-12-14 12:09:15 UTC; Jose
Author: Jose Jordan-Soria [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-19 14:10:02 UTC

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New package deliberr with initial version 0.1.0
Package: deliberr
Title: Methods for Deliberation Analysis
Version: 0.1.0
URL: https://github.com/gumbelino/deliberr, https://gumbelin.shinyapps.io/deliberr
BugReports: https://github.com/gumbelino/deliberr/issues
Description: An implementation of deliberative reasoning index (DRI) and related tools for analysis of deliberation survey data. Calculation of DRI, plot of intersubjective correlations (IC), generation of large-language model (LLM) survey data, and permutation tests are supported. Example datasets and a graphical user interface (GUI) are also available to support analysis. For more information, see Niemeyer and Veri (2022) <doi:10.1093/oso/9780192848925.003.0007>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: stats, dplyr, shiny, tibble, ggplot2, rstatix, grid, psych, tidyr, rlang, glue, httr, purrr, readr, jsonlite, lifecycle, uuid,
Suggests: DT, gridExtra, knitr, readxl, rmarkdown
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-12-15 06:51:16 UTC; gus
Author: Gustavo Kreia Umbelino [aut, cre] , Francesco Veri [aut] , Swiss National Science Foundation [fnd]
Maintainer: Gustavo Kreia Umbelino <gustavo.kreiaumbelino@zda.uzh.ch>
Repository: CRAN
Date/Publication: 2025-12-19 14:50:02 UTC

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New package colleyRstats with initial version 0.0.1
Package: colleyRstats
Title: Functions to Streamline Statistical Analysis and Reporting
Version: 0.0.1
Description: Built upon popular R packages such as 'ggstatsplot' and 'ARTool', this collection offers a wide array of tools for simplifying reproducible analyses, generating high-quality visualizations, and producing 'APA'-compliant outputs. The primary goal of this package is to significantly reduce repetitive coding efforts, allowing you to focus on interpreting results. Whether you're dealing with ANOVA assumptions, reporting effect sizes, or creating publication-ready visualizations, this package makes these tasks easier.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.5.0)
Imports: ARTool, car, clipr, conflicted, dplyr (>= 1.1.4), effectsize (>= 1.0.1), FSA, ggplot2 (>= 4.0.1), ggpmisc (>= 0.6.3), ggsignif, ggstatsplot (>= 0.13.4), ggtext, purrr, readxl, report (>= 0.6.1), rlang, rstatix, see, stats, stringr, tidyr, utils, writexl, xtable
Suggests: afex, BayesFactor, bayestestR, Cairo, dunn.test, DT, emmeans, emoa, flexdashboard, Hmisc, moocore (>= 0.1.10), nparLD, psych, reporttools, rstantools, scales, sjPlot, stargazer, styler, tibble, testthat (>= 3.3.0)
NeedsCompilation: no
Packaged: 2025-12-15 11:14:44 UTC; Mark
Author: Mark Colley [aut, cre, cph]
Maintainer: Mark Colley <mark.colley@yahoo.de>
Repository: CRAN
Date/Publication: 2025-12-19 15:00:07 UTC

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Package tsforecast updated to version 1.2.1 with previous version 1.2.0 dated 2025-12-15

Title: Time Series Forecasting Functions
Description: Fundamental time series forecasting models such as autoregressive integrated moving average (ARIMA), exponential smoothing, and simple moving average are included. For ARIMA models, the output follows the traditional parameterisation by Box and Jenkins (1970, ISBN: 0816210942, 9780816210947). Furthermore, there are functions for detailed time series exploration and decomposition, respectively. All data and result visualisations are generated by 'ggplot2' instead of conventional R graphical output. For more details regarding the theoretical background of the models see Hyndman, R.J. and Athanasopoulos, G. (2021) <https://otexts.com/fpp3/>.
Author: Ka Yui Karl Wu [aut, cre]
Maintainer: Ka Yui Karl Wu <karlwuky@suss.edu.sg>

Diff between tsforecast versions 1.2.0 dated 2025-12-15 and 1.2.1 dated 2025-12-19

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Package ream updated to version 1.0-10 with previous version 1.0-9 dated 2025-12-18

Title: Density, Distribution, and Sampling Functions for Evidence Accumulation Models
Description: Calculate the probability density functions (PDFs) for two threshold evidence accumulation models (EAMs). These are defined using the following Stochastic Differential Equation (SDE), dx(t) = v(x(t),t)*dt+D(x(t),t)*dW, where x(t) is the accumulated evidence at time t, v(x(t),t) is the drift rate, D(x(t),t) is the noise scale, and W is the standard Wiener process. The boundary conditions of this process are the upper and lower decision thresholds, represented by b_u(t) and b_l(t), respectively. Upper threshold b_u(t) > 0, while lower threshold b_l(t) < 0. The initial condition of this process x(0) = z where b_l(t) < z < b_u(t). We represent this as the relative start point w = z/(b_u(0)-b_l(0)), defined as a ratio of the initial threshold location. This package generates the PDF using the same approach as the 'python' package it is based upon, 'PyBEAM' by Murrow and Holmes (2023) <doi:10.3758/s13428-023-02162-w>. First, it converts the SDE model into the forwards Fokke [...truncated...]
Author: Raphael Hartmann [aut, cre] , Matthew Murrow [aut]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>

Diff between ream versions 1.0-9 dated 2025-12-18 and 1.0-10 dated 2025-12-19

 DESCRIPTION             |    6 +++---
 MD5                     |    8 ++++----
 inst/doc/guideline.html |    4 ++--
 src/R_wrapper.cpp       |    4 ++--
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 5 files changed, 14 insertions(+), 14 deletions(-)

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Package KINSIMU updated to version 0.1.3 with previous version 0.1.2-2 dated 2024-06-13

Title: Panel Evaluation in Forensic Kinship Analysis
Description: Evaluate specific panels in different aspects: i) Simulation tools related to pedigree researches; ii) calculation for systemic effectiveness indicators, such as probability of exclusion (PE).
Author: Guanju Ma [aut, cre], Shujin Li [ctb]
Maintainer: Guanju Ma <guanjuma@hebmu.edu.cn>

Diff between KINSIMU versions 0.1.2-2 dated 2024-06-13 and 0.1.3 dated 2025-12-19

 DESCRIPTION                                                 |   14 ++--
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 R/LRparas.R                                                 |    6 +
 R/logLR.R                                                   |   11 ++-
 R/pedisimu.R                                                |    2 
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 R/trioPI.R                                                  |    2 
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 man/IICAL.Rd                                                |    2 
 man/LRgpgcam.Rd                                             |    2 
 man/LRhsip.Rd                                               |    2 
 man/LRparas.Rd                                              |    3 
 man/logLR.Rd                                                |    2 
 man/testsimulation.Rd                                       |    2 
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Package grates updated to version 1.7.1 with previous version 1.7.0 dated 2025-11-21

Title: Grouped Date Classes
Description: Provides a coherent interface and implementation for creating grouped date classes.
Author: Tim Taylor [aut, cre]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between grates versions 1.7.0 dated 2025-11-21 and 1.7.1 dated 2025-12-19

 DESCRIPTION                  |    7 +++----
 MD5                          |    8 ++++----
 NEWS.md                      |    5 +++++
 R/period-class.R             |    2 +-
 tests/testthat/test-period.R |    2 --
 5 files changed, 13 insertions(+), 11 deletions(-)

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Package fUnitRoots updated to version 4052.82 with previous version 4040.81 dated 2024-05-15

Title: Rmetrics - Modelling Trends and Unit Roots
Description: Provides four addons for analyzing trends and unit roots in financial time series: (i) functions for the density and probability of the augmented Dickey-Fuller Test, (ii) functions for the density and probability of MacKinnon's unit root test statistics, (iii) reimplementations for the ADF and MacKinnon Test, and (iv) an 'urca' Unit Root Test Interface for Pfaff's unit root test suite.
Author: Diethelm Wuertz [aut] , Tobias Setz [aut], Yohan Chalabi [aut], Georgi N. Boshnakov [cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between fUnitRoots versions 4040.81 dated 2024-05-15 and 4052.82 dated 2025-12-19

 DESCRIPTION                  |   22 +--
 MD5                          |   14 +-
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 man/MacKinnonPValues.Rd      |  160 +++++++++++-------------
 man/UnitrootTests.Rd         |  182 +++++++++++-----------------
 man/UnitrootUrcaInterface.Rd |  276 +++++++++++++++++++------------------------
 9 files changed, 366 insertions(+), 434 deletions(-)

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New package DPCD with initial version 0.0.1
Package: DPCD
Title: Dirichlet Process Clustering with Dissimilarities
Version: 0.0.1
Description: A Bayesian hierarchical model for clustering dissimilarity data using the Dirichlet process. The latent configuration of objects and the number of clusters are automatically inferred during the fitting process. The package supports multiple models which are available to detect clusters of various shapes and sizes using different covariance structures. Additional functions are included to ensure adequate model fits through prior and posterior predictive checks.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, bayesplot, mcclust, cluster, truncnorm
Suggests: spelling,
Depends: nimble, R (>= 3.5)
URL: https://github.com/SamMorrissette/DPCD
BugReports: https://github.com/SamMorrissette/DPCD/issues
Language: en-US
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2025-12-14 02:22:35 UTC; samue
Author: Sam Morrissette [cph, aut, cre]
Maintainer: Sam Morrissette <samuel.morrissette01@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-19 14:00:02 UTC

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Package clinpubr updated to version 1.1.1 with previous version 1.1.0 dated 2025-10-30

Title: Clinical Publication
Description: Accelerate the process from clinical data to medical publication, including clinical data cleaning, significant result screening, and the generation of publish-ready tables and figures.
Author: Yue Niu [aut, cre, cph] , Keyun Wang [aut]
Maintainer: Yue Niu <niuyuesam@163.com>

Diff between clinpubr versions 1.1.0 dated 2025-10-30 and 1.1.1 dated 2025-12-19

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 34 files changed, 466 insertions(+), 355 deletions(-)

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Package CICI updated to version 0.9.7 with previous version 0.9.6 dated 2025-07-21

Title: Causal Inference with Continuous (Multiple Time Point) Interventions
Description: Estimation of counterfactual outcomes for multiple values of continuous interventions at different time points, and plotting of causal dose-response curves. Details are given in Schomaker, McIlleron, Denti, Diaz (2024) <doi:10.48550/arXiv.2305.06645>.
Author: Michael Schomaker [aut, cre], Leo Fuhrhop [ctb], Han Bao [ctb]
Maintainer: Michael Schomaker <michael.schomaker@stat.uni-muenchen.de>

Diff between CICI versions 0.9.6 dated 2025-07-21 and 0.9.7 dated 2025-12-19

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Package guideR updated to version 0.8.1 with previous version 0.8.0 dated 2025-12-10

Title: Miscellaneous Statistical Functions Used in 'guide-R'
Description: Companion package for the manual 'guide-R : Guide pour l’analyse de données d’enquêtes avec R' available at <https://larmarange.github.io/guide-R/>. 'guideR' implements miscellaneous functions introduced in 'guide-R' to facilitate statistical analysis and manipulation of survey data.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package ganDataModel updated to version 2.0.1 with previous version 1.1.7 dated 2024-07-21

Title: Build a Metric Subspaces Data Model for a Data Source
Description: Neural networks are applied to create a density value function which approximates density values for a data source. The trained neural network is analyzed for different levels. For each level metric subspaces with density values above a level are determined. The obtained set of metric subspaces and the trained neural network are assembled into a data model. A prerequisite is the definition of a data source, the generation of generative data and the calculation of density values. These tasks are executed using package 'ganGenerativeData' <https://cran.r-project.org/package=ganGenerativeData>.
Author: Werner Mueller [aut, cre]
Maintainer: Werner Mueller <werner.mueller5@chello.at>

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Package rtpcr updated to version 2.1.0 with previous version 2.0.5 dated 2025-12-12

Title: qPCR Data Analysis
Description: Amplification efficiency estimation, statistical analysis, and graphical representation of quantitative real-time PCR (qPCR) data using one or more specified reference genes is handled by 'rtpcr' package. By accounting for amplification efficiency values, 'rtpcr' was developed using a general calculation method described by Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5> and Taylor et al. (2019) <doi:10.1016/j.tibtech.2018.12.002>, covering both the Livak and Pfaffl methods. Based on the experimental conditions, the functions of the 'rtpcr' package use t-test (for experiments with a two-level factor), analysis of variance (ANOVA), analysis of covariance (ANCOVA) or analysis of repeated measure data to analyse the relative expression (Delta Delta Ct method or Delta Ct method). The functions further provide standard errors and confidence intervals for means, apply statistical mean comparisons and present significance.
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <gh.mirzaghaderi@uok.ac.ir>

Diff between rtpcr versions 2.0.5 dated 2025-12-12 and 2.1.0 dated 2025-12-19

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Package RPEGLMEN readmission to version 1.1.4 with previous version 1.1.3 dated 2025-03-30

Title: Gamma and Exponential Generalized Linear Models with Elastic Net Penalty
Description: Implements the fast iterative shrinkage-thresholding algorithm (FISTA) algorithm to fit a Gamma distribution with an elastic net penalty as described in Chen, Arakvin and Martin (2018) <doi:10.48550/arXiv.1804.07780>. An implementation for the case of the exponential distribution is also available, with details available in Chen and Martin (2018) <doi:10.2139/ssrn.3085672>.
Author: Anthony Christidis [aut, cre], Xin Chen [aut], Daniel Hanson [aut]
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

This is a re-admission after prior archival of version 1.1.3 dated 2025-03-30

Diff between RPEGLMEN versions 1.1.3 dated 2025-03-30 and 1.1.4 dated 2025-12-19

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Package ReliaShiny readmission to version 0.4.1 with previous version 0.4 dated 2025-11-11

Title: A 'Shiny' App for Reliability Analysis
Description: An interactive web application for reliability analysis using the 'shiny' <https://shiny.posit.co/> framework. The app provides an easy-to-use interface for performing reliability analysis using 'WeibullR' <https://cran.r-project.org/package=WeibullR> and 'ReliaGrowR' <https://cran.r-project.org/package=ReliaGrowR>.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

This is a re-admission after prior archival of version 0.4 dated 2025-11-11

Diff between ReliaShiny versions 0.4 dated 2025-11-11 and 0.4.1 dated 2025-12-19

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Package PupillometryR readmission to version 0.0.7 with previous version 0.0.6 dated 2025-11-10

Title: A Unified Pipeline for Pupillometry Data
Description: Provides a unified pipeline to clean, prepare, plot, and run basic analyses on pupillometry experiments.
Author: Samuel Forbes [aut, cre], David Robinson [ctb]
Maintainer: Samuel Forbes <samuel.h.forbes@gmail.com>

This is a re-admission after prior archival of version 0.0.6 dated 2025-11-10

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Package knitrdata readmission to version 0.6.2 with previous version 0.6.1 dated 2020-12-08

Title: Data Language Engine for 'knitr' / 'rmarkdown'
Description: Implements a data language engine for incorporating data directly in 'rmarkdown' documents so that they can be made completely standalone.
Author: David M. Kaplan [aut, cre, cph]
Maintainer: David M. Kaplan <dmkaplan2000@gmail.com>

This is a re-admission after prior archival of version 0.6.1 dated 2020-12-08

Diff between knitrdata versions 0.6.1 dated 2020-12-08 and 0.6.2 dated 2025-12-19

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Package INLAtools updated to version 0.0.6 with previous version 0.0.5 dated 2025-11-20

Title: Functionalities for the 'INLA' Package
Description: Contain code to work with a C struct, in short cgeneric, to define a Gaussian Markov random (GMRF) model. The cgeneric contain code to specify GMRF elements such as the graph and the precision matrix, and also the initial and prior for its parameters, useful for model inference. It can be accessed from a C program and is the recommended way to implement new GMRF models in the 'INLA' package (<https://www.r-inla.org>). The 'INLAtools' implement functions to evaluate each one of the model specifications from R. The implemented functionalities leverage the use of 'cgeneric' models and provide a way to debug the code as well to work with the prior for the model parameters and to sample from it. A very useful functionality is the Kronecker product method that creates a new model from multiple cgeneric models. It also works with the rgeneric, the R version of the cgeneric intended to easy try implementation of new GMRF models. The Kronecker between two cgeneric models was used in Sterr [...truncated...]
Author: Elias Teixeira Krainski [cre, aut, cph] , Finn Lindgren [aut] , Haavard Rue’ [aut]
Maintainer: Elias Teixeira Krainski <eliaskrainski@gmail.com>

Diff between INLAtools versions 0.0.5 dated 2025-11-20 and 0.0.6 dated 2025-12-19

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Package hyreg2 updated to version 1.1.0 with previous version 1.0.0 dated 2025-10-06

Title: Estimate Latent Classes on a Mixture of Continuous and Dichotomous Data
Description: EQ-5D value set estimation can be done using the hybrid model likelihood as described by Oppe and van Hout (2010) <doi:10.1002/hec.3560> and Ramos-Goñi et al. (2017) <doi:10.1097/MLR.0000000000000283>. The package is based on 'flexmix' and among others contains an M-step-driver as described by Leisch (2004) <doi:10.18637/jss.v011.i08>. Users can estimate latent classes and address preference heterogeneity. Both uncensored and censored data are supported. Furthermore, heteroscedasticity can be taken into account. It is possible to control for different covariates on the continuous and dichotomous parts of the data and start values can differ between the expected latent classes.
Author: Svenja Elkenkamp [aut, cre], Kim Rand [aut], John Grosser [aut], EuroQol [fnd]
Maintainer: Svenja Elkenkamp <svenja.elkenkamp@uni-bielefeld.de>

Diff between hyreg2 versions 1.0.0 dated 2025-10-06 and 1.1.0 dated 2025-12-19

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Package flint updated to version 0.1.4 with previous version 0.1.3 dated 2025-12-18

Title: Fast Library for Number Theory
Description: An R interface to 'FLINT' <https://flintlib.org/>, a C library for number theory. 'FLINT' extends GNU 'MPFR' <https://www.mpfr.org/> and GNU 'MP' <https://gmplib.org/> with support for operations on standard rings (the integers, the integers modulo n, finite fields, the rational, p-adic, real, and complex numbers) as well as matrices and polynomials over rings. 'FLINT' implements midpoint-radius interval arithmetic, also known as ball arithmetic, in the real and complex numbers, enabling computation in arbitrary precision with rigorous propagation of rounding and other errors; see Johansson (2017) <doi:10.1109/TC.2017.2690633>. Finally, 'FLINT' provides ball arithmetic implementations of many special mathematical functions, with high coverage of reference works such as the NIST Digital Library of Mathematical Functions <https://dlmf.nist.gov/>. The R interface defines S4 classes, generic functions, and methods for representation and basic operations as [...truncated...]
Author: Mikael Jagan [aut, cre] , Martin Maechler [ctb]
Maintainer: Mikael Jagan <jaganmn2@gmail.com>

Diff between flint versions 0.1.3 dated 2025-12-18 and 0.1.4 dated 2025-12-19

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Package abn updated to version 3.1.13 with previous version 3.1.12 dated 2025-11-25

Title: Modelling Multivariate Data with Additive Bayesian Networks
Description: The 'abn' R package facilitates Bayesian network analysis, a probabilistic graphical model that derives from empirical data a directed acyclic graph (DAG). This DAG describes the dependency structure between random variables. The R package 'abn' provides routines to help determine optimal Bayesian network models for a given data set. These models are used to identify statistical dependencies in messy, complex data. Their additive formulation is equivalent to multivariate generalised linear modelling, including mixed models with independent and identically distributed (iid) random effects. The core functionality of the 'abn' package revolves around model selection, also known as structure discovery. It supports both exact and heuristic structure learning algorithms and does not restrict the data distribution of parent-child combinations, providing flexibility in model creation and analysis. The 'abn' package uses Laplace approximations for metric estimation and includes wrappers to the [...truncated...]
Author: Matteo Delucchi [aut, cre] , Reinhard Furrer [aut] , Gilles Kratzer [aut] , Fraser Iain Lewis [aut] , Jonas I. Liechti [ctb] , Marta Pittavino [ctb] , Kalina Cherneva [ctb]
Maintainer: Matteo Delucchi <matteo.delucchi@math.uzh.ch>

Diff between abn versions 3.1.12 dated 2025-11-25 and 3.1.13 dated 2025-12-19

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Package tidyr updated to version 1.3.2 with previous version 1.3.1 dated 2024-01-24

Title: Tidy Messy Data
Description: Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
Author: Hadley Wickham [aut, cre], Davis Vaughan [aut], Maximilian Girlich [aut], Kevin Ushey [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package matRiks updated to version 0.1.4 with previous version 0.1.3 dated 2024-02-16

Title: Generates Raven-Like Matrices According to Rules
Description: Generates Raven like matrices according to different rules and the response list associated to the matrix. The package can generate matrices composed of 4 or 9 cells, along with a response list of 11 elements (the correct response + 10 incorrect responses). The matrices can be generated according to both logical rules (i.e., the relationships between the elements in the matrix are manipulated to create the matrix) and visual-spatial rules (i.e., the visual or spatial characteristics of the elements are manipulated to generate the matrix). The graphical elements of this package are based on the 'DescTools' package. This package has been developed within the PRIN2020 Project (Prot. 20209WKCLL) titled "Computerized, Adaptive and Personalized Assessment of Executive Functions and Fluid Intelligence" and founded by the Italian Ministry of Education and Research.
Author: Andrea Brancaccio [aut, ctb, cph, cre], Ottavia M. Epifania [aut, ctb, com], Debora de Chiusole [ctb]
Maintainer: Andrea Brancaccio <andreabrancaccio01@gmail.com>

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Package journalR updated to version 0.6.0 with previous version 0.2.1 dated 2025-12-14

Title: Formatting Tools for Scientific Journal Writing
Description: Scientific journal numeric formatting policies implemented in code. Emphasis on formatting mean/upper/lower sets of values to pasteable text for journal submission. For example c(2e6, 1e6, 3e6) becomes "2.00 million (1.00--3.00)". Lancet and Nature have built-in styles for rounding and punctuation marks. Users may extend journal styles arbitrarily. Four metrics are supported; proportions, percentage points, counts and rates. Magnitudes for all metrics are discovered automatically.
Author: Sam Byrne [aut, cre, cph]
Maintainer: Sam Byrne <ssbyrne@uw.edu>

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Package geos updated to version 0.2.5 with previous version 0.2.4 dated 2023-11-30

Title: Open Source Geometry Engine ('GEOS') R API
Description: Provides an R API to the Open Source Geometry Engine ('GEOS') library (<https://libgeos.org/>) and a vector format with which to efficiently store 'GEOS' geometries. High-performance functions to extract information from, calculate relationships between, and transform geometries are provided. Finally, facilities to import and export geometry vectors to other spatial formats are provided.
Author: Dewey Dunnington [aut, cre] , Edzer Pebesma [aut]
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

Diff between geos versions 0.2.4 dated 2023-11-30 and 0.2.5 dated 2025-12-19

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Permanent link

Package text2speech (with last version 1.0.0) was removed from CRAN

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

2023-07-19 1.0.0
2020-06-30 0.2.13
2020-02-13 0.2.10
2020-01-13 0.2.9
2019-06-24 0.2.5
2019-06-14 0.2.4
2019-05-16 0.2.3

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Package smoother (with last version 1.3) was removed from CRAN

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

2024-04-02 1.3
2015-04-16 1.1
2014-09-16 1.0.0.0

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Package superbiclust (with last version 1.2) was removed from CRAN

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

2021-05-28 1.2
2014-11-27 1.1
2013-04-23 0.1

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Package biclust (with last version 2.0.3.1) was removed from CRAN

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

2023-05-19 2.0.3.1
2021-05-25 2.0.3
2020-02-04 2.0.2
2018-06-09 2.0.1
2018-05-18 2.0.0
2015-05-12 1.2.0
2015-03-19 1.1.0
2013-03-10 1.0.2
2011-03-17 1.0.1
2011-03-07 1.0
2009-12-09 0.9.1
2009-05-07 0.8.1
2009-04-28 0.7.2
2009-03-13 0.7.1
2008-02-04 0.5

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Package FuzzyDBScan (with last version 0.0.3) was removed from CRAN

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2023-01-10 0.0.3

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Package ari (with last version 0.3.5) was removed from CRAN

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2020-02-08 0.3.5

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Package GAS (with last version 0.3.4.1) was removed from CRAN

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2024-08-19 0.3.4.1
2022-02-04 0.3.4

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

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2017-04-26 0.1

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Package KoulMde (with last version 3.2.1) was removed from CRAN

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

2020-09-10 3.2.1
2020-09-09 3.2.0
2020-04-11 3.1.1
2018-05-29 3.1.0
2017-02-01 3.0.0
2016-11-10 2.2.0
2016-05-16 2.0.1
2016-05-12 2.0
2016-04-21 1.1
2015-09-25 1.0

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Package CompMix (with last version 0.1.0) was removed from CRAN

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2024-05-22 0.1.0

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2024-03-01 1.0.2
2023-12-01 1.0.1
2023-11-27 1.0.0
2023-10-16 0.1.1

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Package sigQC (with last version 0.1.24) was removed from CRAN

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2023-05-11 0.1.23

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Package BiBitR (with last version 0.3.1) was removed from CRAN

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2017-06-30 0.3.1
2017-06-29 0.3.0
2017-02-10 0.2.2
2017-01-23 0.2.1
2016-11-30 0.1.0

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2024-06-23 1.6.0
2023-08-19 1.5.1
2022-09-30 1.5.0
2022-03-18 1.4
2021-01-05 1.3.5
2020-06-03 1.3.4
2020-04-09 1.3.3
2020-03-02 1.3.2
2020-02-18 1.3.1
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2020-01-21 1.2.0
2019-08-03 1.0.0

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2020-05-25 0.9.0

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2022-12-09 0.4.1

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Package Rbeast updated to version 1.0.2 with previous version 1.0.1 dated 2024-08-30

Title: Bayesian Change-Point Detection and Time Series Decomposition
Description: BEAST is a Bayesian estimator of abrupt change, seasonality, and trend for decomposing univariate time series and 1D sequential data. Interpretation of time series depends on model choice; different models can yield contrasting or contradicting estimates of patterns, trends, and mechanisms. BEAST alleviates this by abandoning the single-best-model paradigm and instead using Bayesian model averaging over many competing decompositions. It detects and characterizes abrupt changes (changepoints, breakpoints, structural breaks, joinpoints), cyclic or seasonal variation, and nonlinear trends. BEAST not only detects when changes occur but also quantifies how likely the changes are true. It estimates not just piecewise linear trends but also arbitrary nonlinear trends. BEAST is generically applicable to any real-valued time series, such as those from remote sensing, economics, climate science, ecology, hydrology, and other environmental and biological systems. Example applications include iden [...truncated...]
Author: Tongxi Hu [aut], Yang Li [aut], Xuesong Zhang [aut], Kaiguang Zhao [aut, cre], Jack Dongarra [ctb], Cleve Moler [ctb]
Maintainer: Kaiguang Zhao <zhao.1423@osu.edu>

Diff between Rbeast versions 1.0.1 dated 2024-08-30 and 1.0.2 dated 2025-12-19

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Package citation updated to version 0.12.2 with previous version 0.8.2 dated 2023-03-30

Title: Software Citation Tools
Description: A collection of functions to extract citation information from 'R' packages and to deal with files in 'citation file format' (<https://citation-file-format.github.io/>), extending the functionality already provided by the citation() function in the 'utils' package.
Author: Jan Philipp Dietrich [aut, cre] , Waldir Leoncio [aut]
Maintainer: Jan Philipp Dietrich <dietrich@pik-potsdam.de>

Diff between citation versions 0.8.2 dated 2023-03-30 and 0.12.2 dated 2025-12-19

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Package tidytlg updated to version 0.11.0 with previous version 0.10.0 dated 2025-07-02

Title: Create TLGs using the 'tidyverse'
Description: Generate tables, listings, and graphs (TLG) using 'tidyverse'. Tables can be created functionally, using a standard TLG process, or by specifying table and column metadata to create generic analysis summaries. The 'envsetup' package can also be leveraged to create environments for table creation.
Author: Nicholas Masel [aut], Steven Haesendonckx [aut], Pelagia Alexandra Papadopoulou [aut], Sheng-Wei Wang [aut], Eli Miller [aut] , Nathan Kosiba [aut] , Aidan Ceney [aut] , Janssen R&D [cph, fnd], David Hugh-Jones [cph] , Konrad Pagacz [aut, cre]
Maintainer: Konrad Pagacz <kpagacz@its.jnj.com>

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Package ads (with last version 1.5-11) was removed from CRAN

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

2025-10-10 1.5-11
2023-12-11 1.5-10
2023-01-17 1.5-9
2022-11-07 1.5-8
2022-10-19 1.5-7
2022-06-13 1.5-6
2021-03-16 1.5-5
2020-09-11 1.5-4

Permanent link
Package testit updated to version 0.15 with previous version 0.14 dated 2025-12-06

Title: A Simple Package for Testing R Packages
Description: Provides two convenience functions assert() and test_pkg() to facilitate testing R packages.
Author: Yihui Xie [aut, cre] , Tomas Kalibera [ctb], Steven Mortimer [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between testit versions 0.14 dated 2025-12-06 and 0.15 dated 2025-12-19

 DESCRIPTION |    6 +++---
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Package surveydown updated to version 1.0.1 with previous version 0.14.0 dated 2025-11-03

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>

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Package RLumShiny updated to version 0.2.6 with previous version 0.2.5 dated 2025-07-12

Title: 'Shiny' Applications for the R Package 'Luminescence'
Description: A collection of 'shiny' applications for the R package 'Luminescence'. These mainly, but not exclusively, include applications for plotting chronometric data from e.g. luminescence or radiocarbon dating. It further provides access to bootstraps tooltip and popover functionality and contains the 'jscolor.js' library with a custom 'shiny' output binding.
Author: Christoph Burow [aut, cre] , Urs Tilmann Wolpert [aut], Sebastian Kreutzer [aut] , Marco Colombo [aut] , R Luminescence Package Team [ctb], Jan Odvarko [cph] , AnalytixWare [cph] , RStudio [cph]
Maintainer: Christoph Burow <christoph.burow@gmx.net>

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Package dbscan updated to version 1.2.4 with previous version 1.2.3 dated 2025-08-20

Title: Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Related Algorithms
Description: A fast reimplementation of several density-based algorithms of the DBSCAN family. Includes the clustering algorithms DBSCAN (density-based spatial clustering of applications with noise) and HDBSCAN (hierarchical DBSCAN), the ordering algorithm OPTICS (ordering points to identify the clustering structure), shared nearest neighbor clustering, and the outlier detection algorithms LOF (local outlier factor) and GLOSH (global-local outlier score from hierarchies). The implementations use the kd-tree data structure (from library ANN) for faster k-nearest neighbor search. An R interface to fast kNN and fixed-radius NN search is also provided. Hahsler, Piekenbrock and Doran (2019) <doi:10.18637/jss.v091.i01>.
Author: Michael Hahsler [aut, cre, cph] , Matthew Piekenbrock [aut, cph], Sunil Arya [ctb, cph], David Mount [ctb, cph], Claudia Malzer [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package TPLSr updated to version 1.0.5 with previous version 1.0.4 dated 2022-06-10

Title: Thresholded Partial Least Squares Model for Neuroimaging Data
Description: Uses thresholded partial least squares algorithm to create a regression or classification model. For more information, see Lee, Bradlow, and Kable <doi:10.1016/j.crmeth.2022.100227>.
Author: Sangil Lee [aut, cre]
Maintainer: Sangil Lee <sangillee3rd@gmail.com>

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Package contoso updated to version 1.2.2 with previous version 1.2.1 dated 2025-11-24

Title: Dataset of the 'Contoso' Company
Description: A collection of synthetic datasets simulating sales transactions from a fictional company. The dataset includes various related tables that contain essential business and operational data, useful for analyzing sales performance and other business insights. Key tables included in the package are: - "sales": Contains data on individual sales transactions, including order details, pricing, quantities, and customer information. - "customer": Stores customer-specific details such as demographics, geographic location, occupation, and birthday. - "store": Provides information about stores, including location, size, status, and operational dates. - "orders": Contains details about customer orders, including order and delivery dates, store, and customer data. - "product": Contains data on products, including attributes such as product name, category, price, cost, and weight. - "date": A time-based table that includes date-related attributes like year, month, quarter, day, and working day indica [...truncated...]
Author: Alejandro Hagan [aut, cre]
Maintainer: Alejandro Hagan <alejandro.hagan@outlook.com>

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Package Buddle updated to version 2.0.2 with previous version 2.0.1 dated 2020-02-13

Title: A Deep Learning for Statistical Classification and Regression Analysis with Random Effects
Description: Statistical classification and regression have been popular among various fields and stayed in the limelight of scientists of those fields. Examples of the fields include clinical trials where the statistical classification of patients is indispensable to predict the clinical courses of diseases. Considering the negative impact of diseases on performing daily tasks, correctly classifying patients based on the clinical information is vital in that we need to identify patients of the high-risk group to develop a severe state and arrange medical treatment for them at an opportune moment. Deep learning - a part of artificial intelligence - has gained much attention, and research on it burgeons during past decades: see, e.g, Kazemi and Mirroshandel (2018) <DOI:10.1016/j.artmed.2017.12.001>. It is a veritable technique which was originally designed for the classification, and hence, the Buddle package can provide sublime solutions to various challenging classification and regression pr [...truncated...]
Author: Jiwoong Kim [aut, cre]
Maintainer: Jiwoong Kim <jwboys26@gmail.com>

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