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DataSimilarity: Quantifying Similarity of Datasets and Multivariate Two- Andk-Sample Testing

A collection of methods for quantifying the similarity of two or more datasets, many of which can be used for two- or k-sample testing. It provides newly implemented methods as well as wrapper functions for existing methods that enable calling many different methods in a unified framework. The methods were selected from the review and comparison of Stolte et al. (2024) <doi:10.1214/24-SS149>.

Version:0.2.0
Depends:R (≥ 3.5.0)
Imports:boot, stats
Suggests:ade4,approxOT,Ball,caret,clue,cramer,crossmatch,dbscan,densratio,DWDLargeR,e1071,Ecume,energy,expm,FNN,gTests,gTestsMulti,HDLSSkST,hypoRF,kernlab,kerTests,KMD,knitr,LPKsample,Matrix,mvtnorm,nbpMatching,pROC,purrr,randtoolbox,rlemon,rpart,rpart.plot,testthat,nnet
Published:2025-06-16
DOI:10.32614/CRAN.package.DataSimilarity
Author:Marieke StolteORCID iD [aut, cre, cph], Luca SauerORCID iD [aut], David Alvarez-Melis [ctb] (Original python implementation of OTDD, <https://github.com/microsoft/otdd.git>), Nabarun Deb [ctb] (Original implementation of rank-based Energy test (DS), <https://github.com/NabarunD/MultiDistFree.git>), Bodhisattva Sen [ctb] (Original implementation of rank-based Energy test (DS), <https://github.com/NabarunD/MultiDistFree.git>)
Maintainer:Marieke Stolte <stolte at statistik.tu-dortmund.de>
License:GPL (≥ 3)
NeedsCompilation:no
Materials:ChangeLog
CRAN checks:DataSimilarity results

Documentation:

Reference manual:DataSimilarity.html ,DataSimilarity.pdf
Vignettes:Details on methods and implementations (source,R code)
Getting Started with DataSimilarity (source,R code)

Downloads:

Package source: DataSimilarity_0.2.0.tar.gz
Windows binaries: r-devel:DataSimilarity_0.2.0.zip, r-release:DataSimilarity_0.2.0.zip, r-oldrel:DataSimilarity_0.2.0.zip
macOS binaries: r-release (arm64):DataSimilarity_0.2.0.tgz, r-oldrel (arm64):DataSimilarity_0.2.0.tgz, r-release (x86_64):DataSimilarity_0.2.0.tgz, r-oldrel (x86_64):DataSimilarity_0.2.0.tgz
Old sources: DataSimilarity archive

Linking:

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