Package: DataSimilarity
Type: Package
Title: Quantifying Similarity of Datasets and Multivariate Two- And
        k-Sample Testing
Version: 0.4.0
Date: 2026-05-15
Authors@R: c(person(given = "Marieke", family = "Stolte", 
       email = "marieke.stolte@ibe.med.uni-muenchen.de", role = c("aut", "cre", "cph"), 
       comment = c(ORCID = "0009-0002-0711-6789")), 
       person(given = "Luca", family = "Sauer", role = c("aut"), 
       comment = c(ORCID = "0009-0000-1086-023X")), 
       person(given = "David", family = "Alvarez-Melis", role = c("ctb"), 
                comment = "Original python implementation of OTDD, <https://github.com/microsoft/otdd.git>"), 
       person(given = "Nabarun", family = "Deb", role = c("ctb"), 
                comment = "Original implementation of rank-based Energy test (DS), <https://github.com/NabarunD/MultiDistFree.git>"), 
       person(given = "Bodhisattva", family = "Sen", role = c("ctb"), 
                comment = "Original implementation of rank-based Energy test (DS), <https://github.com/NabarunD/MultiDistFree.git>"))
Depends: R (>= 3.5.0)
Imports: boot, stats
Suggests: ade4, approxOT, Ball, caret, clue, cramer, crossmatch,
        dbscan, densratio, DWDLargeR, e1071, Ecume, energy, expm, FNN,
        GraphRankTest, gTests, gTestsMulti, HDLSSkST, hypoRF, kernlab,
        kerTests, KMD, knitr, LPKsample, Matrix, mvtnorm, nbpMatching,
        pROC, purrr, randtoolbox, rlemon, rpart, rpart.plot, testthat,
        nnet, synthpop, igraph, cluster
Description: 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>. An empirical comparison of the methods
        was performed in Stolte et al. (2026)
        <doi:10.48550/arXiv.2604.11458> for categorical data and in
        Stolte et al. (2026) <doi:10.48550/arXiv.2604.12327> for
        numeric data.
License: GPL (>= 3)
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-22 11:22:13 UTC; root
Author: Marieke Stolte [aut, cre, cph] (ORCID:
        <https://orcid.org/0009-0002-0711-6789>), Luca Sauer [aut]
        (ORCID: <https://orcid.org/0009-0000-1086-023X>), 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 <marieke.stolte@ibe.med.uni-muenchen.de>
Repository: https://mariekestolte.r-universe.dev
Date/Publication: 2026-05-15 08:19:19 UTC
RemoteUrl: https://github.com/cran/DataSimilarity
RemoteRef: HEAD
RemoteSha: b0bceebe6a415b81875365ba953c80f6b93b259c