DataSimilarity: Quantifying Similarity of Datasets and Multivariate Two- And k-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
Author: Marieke Stolte ORCID iD [aut, cre, cph], Luca Sauer ORCID 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.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_0.1.1.zip, r-release: DataSimilarity_0.1.1.zip, r-oldrel: DataSimilarity_0.1.1.zip
macOS binaries: r-release (arm64): DataSimilarity_0.1.1.tgz, r-oldrel (arm64): DataSimilarity_0.1.1.tgz, r-release (x86_64): DataSimilarity_0.1.1.tgz, r-oldrel (x86_64): DataSimilarity_0.1.1.tgz
Old sources: DataSimilarity archive

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