Quantifying Similarity of Datasets and Multivariate Two- And k-Sample Testing [R package DataSimilarity version 0.2.0]

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年06月16日

DOI: 10.32614/CRAN.package.DataSimilarity

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