Mon, 15 Dec 2025

Package zoo updated to version 1.8-15 with previous version 1.8-14 dated 2025-04-10

Title: S3 Infrastructure for Regular and Irregular Time Series (Z's Ordered Observations)
Description: An S3 class with methods for totally ordered indexed observations. It is particularly aimed at irregular time series of numeric vectors/matrices and factors. zoo's key design goals are independence of a particular index/date/time class and consistency with ts and base R by providing methods to extend standard generics.
Author: Achim Zeileis [aut, cre] , Gabor Grothendieck [aut], Jeffrey A. Ryan [aut], Joshua M. Ulrich [ctb], Felix Andrews [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between zoo versions 1.8-14 dated 2025-04-10 and 1.8-15 dated 2025-12-15

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Package tram updated to version 1.3-2 with previous version 1.3-1 dated 2025-12-04

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt' (<DOI:10.32614/CRAN.package.mlt>, <DOI:10.32614/CRAN.package.mlt.docreg>). Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, <DOI:10.1093/biostatistics/kxac048>) and a tutorial explains applications in survival analysis (Siegfried et al., 2025, <DOI:10.48550/arXiv.2402.06428>). Multivariate conditional transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) and shift-scale transformation models (Siegfried et al, 2023, <DOI:10.108 [...truncated...]
Author: Torsten Hothorn [aut, cre] , Luisa Barbanti [ctb] , Sandra Siegfried [aut] , Lucas Kook [aut] , Susanne Dandl [ctb] , Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package TMB updated to version 1.9.19 with previous version 1.9.18 dated 2025-10-13

Title: Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'
Description: With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.
Author: Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug [ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen [ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie Brooks [ctb], Alex Forrence [ctb], Christoffer Moesgaard Albertsen [...truncated...]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package quollr updated to version 1.0.4 with previous version 1.0.1 dated 2025-11-11

Title: Visualising How Nonlinear Dimension Reduction Warps Your Data
Description: To construct a model in 2-D space from 2-D nonlinear dimension reduction data and then lift it to the high-dimensional space. Additionally, provides tools to visualise the model overlay the data in 2-D and high-dimensional space. Furthermore, provides summaries and diagnostics to evaluate the nonlinear dimension reduction layout.
Author: Jayani P. Gamage [aut, cre] , Dianne Cook [aut] , Paul Harrison [aut] , Michael Lydeamore [aut] , Thiyanga S. Talagala [aut]
Maintainer: Jayani P. Gamage <jayanilakshika76@gmail.com>

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 quollr-1.0.4/quollr/NAMESPACE                                                                        |    3 
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Package laminr updated to version 1.2.1 with previous version 1.2.0 dated 2025-10-09

Title: Client for 'LaminDB'
Description: Interact with 'LaminDB'. 'LaminDB' is an open-source data framework for biology. This package allows you to query and download data from 'LaminDB' instances.
Author: Robrecht Cannoodt [aut, cre] , Luke Zappia [aut] , Data Intuitive [aut], Lamin Labs [aut, cph]
Maintainer: Robrecht Cannoodt <robrecht@lamin.ai>

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Package interfacer updated to version 0.4.0 with previous version 0.3.3 dated 2025-02-03

Title: Define and Enforce Contracts for Dataframes as Function Parameters
Description: A dataframe validation framework for package builders who use dataframes as function parameters. It performs checks on column names, coerces data-types, and checks grouping to make sure user inputs conform to a specification provided by the package author. It provides a mechanism for package authors to automatically document supported dataframe inputs and selectively dispatch to functions depending on the format of a dataframe much like S3 does for classes. It also contains some developer tools to make working with and documenting dataframe specifications easier. It helps package developers to improve their documentation and simplifies parameter validation where dataframes are used as function parameters.
Author: Robert Challen [aut, cre, cph]
Maintainer: Robert Challen <rob.challen@bristol.ac.uk>

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Package dsTidyverseClient updated to version 1.0.3 with previous version 1.0.2 dated 2025-02-27

Title: 'DataSHIELD' 'Tidyverse' Clientside Package
Description: Implementation of selected 'Tidyverse' functions within 'DataSHIELD', an open-source federated analysis solution in R. Currently, 'DataSHIELD' contains very limited tools for data manipulation, so the aim of this package is to improve the researcher experience by implementing essential functions for data manipulation, including subsetting, filtering, grouping, and renaming variables. This is the clientside package which should be installed locally, and is used in conjuncture with the serverside package 'dsTidyverse' which is installed on the remote server holding the data. For more information, see <https://tidyverse.org/> and <https://datashield.org/>.
Author: Tim Cadman [aut, cre] , Mariska Slofstra [aut] , Stuart Wheater [aut], Demetris Avraam [aut]
Maintainer: Tim Cadman <t.j.cadman@umcg.nl>

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Package defineR updated to version 0.0.5 with previous version 0.0.4 dated 2022-09-20

Title: Creates Define XML Documents
Description: Creates 'define.xml' documents used for regulatory submissions based on spreadsheet metadata. Can also help create metadata and generate HTML data explorer.
Author: David Bosak [aut, cre], Aheer Alvi [aut], Jonathan Stallings [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>

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Package ExpAnalysis3d updated to version 0.1.3 with previous version 0.1.2 dated 2023-09-25

Title: Pacote Para Analise De Experimentos Com Graficos De Superficie Resposta
Description: Pacote para a analise de experimentos havendo duas variaveis explicativas quantitativas e uma variavel dependente quantitativa. Os experimentos podem ser sem repeticoes ou com delineamento estatistico. Sao ajustados 12 modelos de regressao multipla e plotados graficos de superficie resposta (Hair JF, 2016) <ISBN:13:978-0138132637>.(Package for the analysis of experiments having two explanatory quantitative variables and one quantitative dependent variable. The experiments can be without repetitions or with a statistical design. Twelve multiple regression models are fitted and response surface graphs are plotted (Hair JF, 2016) <ISBN:13:978-0138132637>).
Author: Alcinei Mistico Azevedo [aut, cre]
Maintainer: Alcinei Mistico Azevedo <alcineimistico@hotmail.com>

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Package cardinalR updated to version 1.0.4 with previous version 1.0.1 dated 2025-11-17

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

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Package bootImpute updated to version 1.3.0 with previous version 1.2.2 dated 2025-03-25

Title: Bootstrap Inference for Multiple Imputation
Description: Bootstraps and imputes incomplete datasets. Then performs inference on estimates obtained from analysing the imputed datasets as proposed by von Hippel and Bartlett (2021) <doi:10.1214/20-STS793>.
Author: Jonathan Bartlett [aut, cre]
Maintainer: Jonathan Bartlett <jonathan.bartlett1@lshtm.ac.uk>

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Package FAfA updated to version 0.5 with previous version 0.4 dated 2025-12-06

Title: Factor Analysis for All
Description: Provides a comprehensive Shiny-based graphical user interface for conducting a wide range of factor analysis procedures. 'FAfA' (Factor Analysis for All) guides users through data uploading, assumption checking (descriptives, collinearity, multivariate normality, outliers), data wrangling (variable exclusion, data splitting), factor retention analysis (e.g., Parallel Analysis, Hull method, EGA), Exploratory Factor Analysis (EFA) with various rotation and extraction methods, Confirmatory Factor Analysis (CFA) for model testing, Reliability Analysis (e.g., Cronbach's Alpha, McDonald's Omega), Measurement Invariance testing across groups, and item weighting techniques. The application leverages established R packages such as 'lavaan' and 'psych' to perform these analyses, offering an accessible platform for researchers and students. Results are presented in user-friendly tables and plots, with options for downloading outputs.
Author: Abdullah Faruk KILIC [aut, cre], Ahmet Caliskan [aut]
Maintainer: Abdullah Faruk KILIC <afarukkilic@trakya.edu.tr>

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

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

2021-12-15 0.1.0

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Package NAIR (with last version 1.0.4) was removed from CRAN

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

2024-03-02 1.0.4
2024-01-09 1.0.3
2023-09-27 1.0.2
2023-09-14 1.0.1

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Package cometExactTest (with last version 0.1.5) was removed from CRAN

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

2018-01-29 0.1.5
2018-01-04 0.1.4
2015-10-31 0.1.3
2015-06-24 0.1.2
2015-06-22 0.1

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Package XYomics updated to version 0.1.2 with previous version 0.1.1 dated 2025-11-13

Title: Analysis of Sex Differences in Omics Data for Complex Diseases
Description: Tools to analyze sex differences in omics data for complex diseases. It includes functions for differential expression analysis using the 'limma' method <doi:10.1093/nar/gkv007>, interaction testing between sex and disease, pathway enrichment with 'clusterProfiler' <doi:10.1089/omi.2011.0118>, and gene regulatory network (GRN) construction and analysis using 'igraph'. The package enables a reproducible workflow from raw data processing to biological interpretation.
Author: Enrico Glaab [aut, cre], Sophie Le Bars [aut], Mohamed Soudy [aut], Murodzhon Akhmedov [cph]
Maintainer: Enrico Glaab <enrico.glaab@uni.lu>

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Package pmparser updated to version 1.0.23 with previous version 1.0.21 dated 2025-01-14

Title: Create and Maintain a Relational Database of Data from PubMed/MEDLINE
Description: Provides a simple interface for extracting various elements from the publicly available PubMed XML files, incorporating PubMed's regular updates, and combining the data with the NIH Open Citation Collection. See Schoenbachler and Hughey (2021) <doi:10.7717/peerj.11071>.
Author: Jake Hughey [aut, cre], Josh Schoenbachler [aut], Elliot Outland [aut]
Maintainer: Jake Hughey <jakejhughey@gmail.com>

Diff between pmparser versions 1.0.21 dated 2025-01-14 and 1.0.23 dated 2025-12-15

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Package boostmath updated to version 1.4.0 with previous version 1.3.0 dated 2025-11-02

Title: 'R' Bindings for the 'Boost' Math Functions
Description: 'R' bindings for the various functions and statistical distributions provided by the 'Boost' Math library <https://www.boost.org/doc/libs/latest/libs/math/doc/html/index.html>.
Author: Andrew R. Johnson [aut, cre]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>

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Package tatooheene updated to version 1.0.0 with previous version 0.19.0 dated 2024-12-18

Title: Technology Appraisal Toolbox for Health Economic Evaluations in the Netherlands
Description: Functions to support economic modelling in R based on the methods of the Dutch guideline for economic evaluations in healthcare <https://www.zorginstituutnederland.nl/documenten/2024/01/16/richtlijn-voor-het-uitvoeren-van-economische-evaluaties-in-de-gezondheidszorg>, CBS data <https://www.cbs.nl/>, and OECD data <https://www.oecd.org/en.html>.
Author: Stijn Peeters [aut, cre] , Eline Krijkamp [aut] , Frederick Thielen [aut]
Maintainer: Stijn Peeters <s.b.peeters@eshpm.eur.nl>

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Package RODBC updated to version 1.3-26.1 with previous version 1.3-26 dated 2024-12-12

Title: ODBC Database Access
Description: An ODBC database interface.
Author: Brian Ripley [aut, cre], Michael Lapsley [aut]
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

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Package excursions updated to version 2.5.11 with previous version 2.5.8 dated 2023-11-30

Title: Excursion Sets and Contour Credibility Regions for Random Fields
Description: Functions that compute probabilistic excursion sets, contour credibility regions, contour avoiding regions, and simultaneous confidence bands for latent Gaussian random processes and fields. The package also contains functions that calculate these quantities for models estimated with the INLA package. The main references for excursions are Bolin and Lindgren (2015) <doi:10.1111/rssb.12055>, Bolin and Lindgren (2017) <doi:10.1080/10618600.2016.1228537>, and Bolin and Lindgren (2018) <doi:10.18637/jss.v086.i05>. These can be generated by the citation function in R.
Author: David Bolin [cre, aut] , Finn Lindgren [aut] , Suen Man Ho [ctb]
Maintainer: David Bolin <davidbolin@gmail.com>

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Package dsTidyverse updated to version 1.1.1 with previous version 1.0.4 dated 2025-02-27

Title: 'DataSHIELD' 'Tidyverse' Serverside Package
Description: Implementation of selected 'Tidyverse' functions within 'DataSHIELD', an open-source federated analysis solution in R. Currently, DataSHIELD contains very limited tools for data manipulation, so the aim of this package is to improve the researcher experience by implementing essential functions for data manipulation, including subsetting, filtering, grouping, and renaming variables. This is the serverside package which should be installed on the server holding the data, and is used in conjuncture with the clientside package 'dsTidyverseClient' which is installed in the local R environment of the analyst. For more information, see <https://tidyverse.org/> and <https://datashield.org/>.
Author: Tim Cadman [aut, cre] , Mariska Slofstra [aut] , Stuart Wheater [aut], Demetris Avraam [aut]
Maintainer: Tim Cadman <t.j.cadman@umcg.nl>

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Package audio updated to version 0.1-12 with previous version 0.1-11 dated 2023-08-17

Title: Audio Interface for R
Description: Interfaces to audio devices (mainly sample-based) from R to allow recording and playback of audio. Built-in devices include Windows MM, Mac OS X AudioUnits and PortAudio (the last one is very experimental).
Author: Simon Urbanek [aut, cre, cph]
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

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Package Rserve updated to version 1.8-16 with previous version 1.8-15 dated 2024-12-17

Title: Versatile R Server
Description: Rserve is a versatile, scalable server enabling the efficient use of R from other applications through variety of protocols including QAP, WebSockets, HTTP and HTTPS. It acts as a server (TCP/IP or local sockets) which allows binary requests to be sent to R. Every connection has a separate workspace and working directory. Client-side implementations are available for many popular languages allowing applications to use facilities of R without the need of linking to the R binary. Rserve supports remote connections, user authentication and file transfer. A simple R client is included in this package as well. It also supports OCAP mode for secure remote procedure calls, including support for full event loop, asynchronous results/graphics and console I/O.
Author: Simon Urbanek [aut, cre, cph]
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

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Package PRECAST updated to version 1.8 with previous version 1.7 dated 2025-10-01

Title: Embedding and Clustering with Alignment for Spatial Omics Datasets
Description: An efficient data integration method is provided for multiple spatial transcriptomics data with non-cluster-relevant effects such as the complex batch effects. It unifies spatial factor analysis simultaneously with spatial clustering and embedding alignment, requiring only partially shared cell/domain clusters across datasets. More details can be referred to Wei Liu, et al. (2023) <doi:10.1038/s41467-023-35947-w>.
Author: Wei Liu [aut, cre], Yi Yang [aut], Jin Liu [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>

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Package dwctaxon updated to version 2.0.4 with previous version 2.0.3 dated 2023-12-13

Title: Edit and Validate Darwin Core Taxon Data
Description: Edit and validate taxonomic data in compliance with Darwin Core standards (Darwin Core 'Taxon' class <https://dwc.tdwg.org/terms/#taxon>).
Author: Joel H. Nitta [aut, cre, cph] , Wataru Iwasaki [ctb] , Collin Schwantes [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/574>), Stephen Formel [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/57 [...truncated...]
Maintainer: Joel H. Nitta <joelnitta@gmail.com>

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Package quotedargs (with last version 0.1.3) was removed from CRAN

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

2019-04-22 0.1.3
2018-03-26 0.1.2
2018-01-08 0.1.1
2017-06-27 0.1.0

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Package tsforecast updated to version 1.2.0 with previous version 1.1.0 dated 2025-12-12

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>

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Package resilience updated to version 2025.1.1 with previous version 2025.1.0 dated 2025-12-11

Title: Predictors of Resilience to a Stressor in a Single-Arm Study
Description: Studies of resilience in older adults employ a single-arm design where everyone experiences the stressor. The simplistic approach of regressing change versus baseline yields biased estimates due to regression-to-the-mean. This package provides a method to correct the bias. It also allows covariates to be included. The method implemented in the package is described in Varadhan, R., Zhu, J., and Bandeen-Roche, K (2024), Biostatistics 25(4): 1094-1111.
Author: Ravi Varadhan [aut, cre], Jiafeng Zhu [ctb]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>

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Package redistverse readmission to version 0.1.2 with previous version 0.1.1 dated 2025-10-27

Title: Easily Install and Load Redistricting Software
Description: Easy installation, loading, and control of packages for redistricting data downloading, spatial data processing, simulation, analysis, and visualization. This package makes it easy to install and load multiple 'redistverse' packages at once. The 'redistverse' is developed and maintained by the Algorithm-Assisted Redistricting Methodology (ALARM) Project. For more details see <https://alarm-redist.org>.
Author: Christopher T. Kenny [aut, cre] , Cory McCartan [aut] , tidyverse contributors [ctb]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

This is a re-admission after prior archival of version 0.1.1 dated 2025-10-27

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Package MLwrap updated to version 0.3.0 with previous version 0.2.3 dated 2025-11-11

Title: Machine Learning Modelling for Everyone
Description: A minimal library specifically designed to make the estimation of Machine Learning (ML) techniques as easy and accessible as possible, particularly within the framework of the Knowledge Discovery in Databases (KDD) process in data mining. The package provides essential tools to structure and execute each stage of a predictive or classification modeling workflow, aligning closely with the fundamental steps of the KDD methodology, from data selection and preparation, through model building and tuning, to the interpretation and evaluation of results using Sensitivity Analysis. The 'MLwrap' workflow is organized into four core steps; preprocessing(), build_model(), fine_tuning(), and sensitivity_analysis(). It also includes global and pairwise interaction analysis based on Friedman’s H-statistic to support a more detailed interpretation of complex feature relationships.These steps correspond, respectively, to data preparation and transformation, model construction, hyperparameter optimizat [...truncated...]
Author: Javier Martinez Garcia [aut] , Juan Jose Montano Moreno [ctb] , Albert Sese [cre, ctb]
Maintainer: Albert Sese <albert.sese@uib.es>

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Package MKinfer updated to version 1.3 with previous version 1.2 dated 2024-04-06

Title: Inferential Statistics
Description: Computation of various confidence intervals (Altman et al. (2000), ISBN:978-0-727-91375-3; Hedderich and Sachs (2018), ISBN:978-3-662-56657-2) including bootstrapped versions (Davison and Hinkley (1997), ISBN:978-0-511-80284-3) as well as Hsu (Hedderich and Sachs (2018), ISBN:978-3-662-56657-2), permutation (Janssen (1997), <doi:10.1016/S0167-7152(97)00043-6>), bootstrap (Davison and Hinkley (1997), ISBN:978-0-511-80284-3), intersection-union (Sozu et al. (2015), ISBN:978-3-319-22005-5) and multiple imputation (Barnard and Rubin (1999), <doi:10.1093/biomet/86.4.948>) t-test; furthermore, computation of intersection-union z-test as well as multiple imputation Wilcoxon tests. Graphical visualizations: volcano plot, Bland-Altman plots (Bland and Altman (1986), <doi:10.1016/S0140-6736(86)90837-8>; Shieh (2018), <doi:10.1186/s12874-018-0505-y>), mean difference plot (Boehning et al. (2008), <doi:10.1177/0962280207081867>), plot of test statistic for permutation [...truncated...]
Author: Matthias Kohl [aut, cre]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package HTLR updated to version 1.0 with previous version 0.4-4 dated 2022-10-22

Title: Bayesian Logistic Regression with Heavy-Tailed Priors
Description: Efficient Bayesian multinomial logistic regression based on heavy-tailed (hyper-LASSO, non-convex) priors. The posterior of coefficients and hyper-parameters is sampled with restricted Gibbs sampling for leveraging the high-dimensionality and Hamiltonian Monte Carlo for handling the high-correlation among coefficients. A detailed description of the method: Li and Yao (2018), Journal of Statistical Computation and Simulation, 88:14, 2827-2851, <doi:10.48550/arXiv.1405.3319>.
Author: Longhai Li [aut] , Steven Liu [aut, cre]
Maintainer: Steven Liu <shinyu.lieu@gmail.com>

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Package epicmodel updated to version 0.2.1 with previous version 0.2.0 dated 2024-12-11

Title: Causal Modeling in Epidemiology
Description: Create causal models for use in epidemiological studies, including sufficient-component cause models as introduced by Rothman (1976) <doi:10.1093/oxfordjournals.aje.a112335>.
Author: Felix Forster [aut, cre, cph]
Maintainer: Felix Forster <forsterepi@gmail.com>

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Package comtradr updated to version 1.0.5 with previous version 1.0.4 dated 2025-09-27

Title: Interface with the United Nations Comtrade API
Description: Interface with and extract data from the United Nations 'Comtrade' API <https://comtradeplus.un.org/>. 'Comtrade' provides country level shipping data for a variety of commodities, these functions allow for easy API query and data returned as a tidy data frame.
Author: Paul Bochtler [aut, cre, cph] , Harriet Goers [aut], Chris Muir [aut], Alicia Schep [rev] , Rafael Hellwig [rev] , Ernest Guevarra [rev] , Nicholas Potter [rev] , Juergen Amann [ctb]
Maintainer: Paul Bochtler <paulbochtler.gh@gmail.com>

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Package BayesSIM updated to version 0.2.1 with previous version 0.1.5 dated 2025-11-13

Title: Integrated Interface of Bayesian Single Index Models using 'nimble'
Description: Provides tools for fitting Bayesian single index models with flexible choices of priors for both the index and the link function. The package implements model estimation and posterior inference using efficient MCMC algorithms built on the 'nimble' framework, allowing users to specify, extend, and simulate models in a unified and reproducible manner. The following methods are implemented in the package: Antoniadis et al. (2004) <https://www.jstor.org/stable/24307224>, Wang (2009) <doi:10.1016/j.csda.2008.12.010>, Choi et al. (2011) <doi:10.1080/10485251003768019>, Dhara et al. (2019) <doi:10.1214/19-BA1170>, McGee et al. (2023) <doi:10.1111/biom.13569>.
Author: Seowoo Jung [aut, cre], Eun-kyung Lee [aut]
Maintainer: Seowoo Jung <jsw1347@ewha.ac.kr>

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Package yulab.utils updated to version 0.2.3 with previous version 0.2.2 dated 2025-12-01

Title: Supporting Functions for Packages Maintained by 'YuLab-SMU'
Description: Miscellaneous functions commonly used by 'YuLab-SMU'.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package forceplate updated to version 1.1-5 with previous version 1.1-4 dated 2025-03-19

Title: Processing Force-Plate Data
Description: Process raw force-plate data (txt-files) by segmenting them into trials and, if needed, calculating (user-defined) descriptive statistics of variables for user-defined time bins (relative to trigger onsets) for each trial. When segmenting the data a baseline correction, a filter, and a data imputation can be applied if needed. Experimental data can also be processed and combined with the segmented force-plate data. This procedure is suggested by Johannsen et al. (2023) <doi:10.6084/m9.figshare.22190155> and some of the options (e.g., choice of low-pass filter) are also suggested by Winter (2009) <doi:10.1002/9780470549148>.
Author: Raphael Hartmann [aut, cre] , Anton Koger [aut, ctb] , Leif Johannsen [ctb]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>

Diff between forceplate versions 1.1-4 dated 2025-03-19 and 1.1-5 dated 2025-12-15

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Package tables updated to version 0.9.33 with previous version 0.9.31 dated 2024-08-29

Title: Formula-Driven Table Generation
Description: Computes and displays complex tables of summary statistics. Output may be in LaTeX, HTML, plain text, or an R matrix for further processing.
Author: Duncan Murdoch [aut, cre]
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

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Package rqlm updated to version 4.2-1 with previous version 4.1-1 dated 2025-12-06

Title: Modified Poisson Regression for Binary Outcome and Related Methods
Description: Modified Poisson, logistic and least-squares regression analyses for binary outcomes of Zou (2004) <doi:10.1093/aje/kwh090>, Noma (2025)<Forthcoming>, and Cheung (2007) <doi:10.1093/aje/kwm223> have been standard multivariate analysis methods to estimate risk ratio and risk difference in clinical and epidemiological studies. This R package involves an easy-to-handle function to implement these analyses by simple commands. Missing data analysis tools (multiple imputation) are also involved. In addition, recent studies have shown the ordinary robust variance estimator possibly has serious bias under small or moderate sample size situations for these methods. This package also provides computational tools to calculate alternative accurate confidence intervals.
Author: Hisashi Noma [aut, cre]
Maintainer: Hisashi Noma <noma@ism.ac.jp>

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Package rice updated to version 1.5.0 with previous version 1.4.0 dated 2025-09-06

Title: Radiocarbon Equations
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon-related timescales (cal BP, cal BC/AD, C14 age, F14C, pMC, D14C) and estimating the effects of contamination or local reservoir offsets (Reimer and Reimer 2001 <doi:10.1017/S0033822200038339>). The methods follow long-established recommendations such as Stuiver and Polach (1977) <doi:10.1017/S0033822200003672> and Reimer et al. (2004) <doi:10.1017/S0033822200033154>. This package uses the calibration curves from the data package 'rintcal'.
Author: Maarten Blaauw [aut, cre]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package MOTE updated to version 1.2.2 with previous version 1.0.2 dated 2019-04-10

Title: Effect Size and Confidence Interval Calculator
Description: Measure of the Effect ('MOTE') is an effect size calculator, including a wide variety of effect sizes in the mean differences family (all versions of d) and the variance overlap family (eta, omega, epsilon, r). 'MOTE' provides non-central confidence intervals for each effect size, relevant test statistics, and output for reporting in APA Style (American Psychological Association, 2010, <ISBN:1433805618>) with 'LaTeX'. In research, an over-reliance on p-values may conceal the fact that a study is under-powered (Halsey, Curran-Everett, Vowler, & Drummond, 2015 <doi:10.1038/nmeth.3288>). A test may be statistically significant, yet practically inconsequential (Fritz, Scherndl, & Kühberger, 2012 <doi:10.1177/0959354312436870>). Although the American Psychological Association has long advocated for the inclusion of effect sizes (Wilkinson & American Psychological Association Task Force on Statistical Inference, 1999 <doi:10.1037/0003-066X.54.8.594>), the [...truncated...]
Author: Erin M. Buchanan [aut, cre] , Amber M Gillenwaters [aut] , John E. Scofield [aut] , K. D. Valentine [aut]
Maintainer: Erin M. Buchanan <buchananlab@gmail.com>

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Package FMAT updated to version 2025.12 with previous version 2025.8 dated 2025-08-19

Title: The Fill-Mask Association Test
Description: The Fill-Mask Association Test ('FMAT') <doi:10.1037/pspa0000396> is an integrative and probability-based method using Masked Language Models to measure conceptual associations (e.g., attitudes, biases, stereotypes, social norms, cultural values) as propositions in natural language. Supported language models include 'BERT' <doi:10.48550/arXiv.1810.04805> and its variants available at 'Hugging Face' <https://huggingface.co/models?pipeline_tag=fill-mask>. Methodological references and installation guidance are provided at <https://psychbruce.github.io/FMAT/>.
Author: Han Wu Shuang Bao [aut, cre]
Maintainer: Han Wu Shuang Bao <baohws@foxmail.com>

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Package epiR updated to version 2.0.89 with previous version 2.0.88 dated 2025-10-21

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] , Evan Sergeant [aut], Cord Heuer [ctb], Telmo Nunes [ctb], Cord Heuer [ctb], Jonathon Marshall [ctb], Javier Sanchez [ctb], Ron Thornton [ctb], Jeno Reiczigel [ctb], Jim Robison-Cox [ctb], Paola Sebastiani [ctb], Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

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Package datetimeutils updated to version 0.6-6 with previous version 0.6-5 dated 2025-04-01

Title: Utilities for Dates and Times
Description: Utilities for handling dates and times, such as selecting particular days of the week or month, formatting timestamps as required by RSS feeds, or converting timestamp representations of other software (such as 'MATLAB' and 'Excel') to R. The package is lightweight (no dependencies, pure R implementations) and relies only on R's standard classes to represent dates and times ('Date' and 'POSIXt'); it aims to provide efficient implementations, through vectorisation and the use of R's native numeric representations of timestamps where possible.
Author: Enrico Schumann [aut, cre] , Unicode, Inc. [dtc, cph]
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package astsa updated to version 2.4 with previous version 2.3 dated 2025-08-21

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

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Package VertexWiseR updated to version 1.4.5 with previous version 1.4.4 dated 2025-12-04

Title: Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal Surface
Description: Provides functions to run statistical analyses on surface-based neuroimaging data, computing measures including cortical thickness and surface area of the whole-brain and of the hippocampi. It can make use of 'FreeSurfer', 'fMRIprep', 'XCP-D', 'HCP' and 'CAT12' preprocessed datasets and 'HippUnfold' hippocampal segmentation outputs for a given sample by restructuring the data values into a single file. The single file can then be used by the package for analyses independently from its base dataset and without need for its access.
Author: Junhong Yu [aut] , Charly Billaud [aut, cre]
Maintainer: Charly Billaud <charly.billaud@ntu.edu.sg>

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