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 Stolte [aut, cre, cph], Luca Sauer [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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=DataSimilarity to link to this page.
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