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  "Authors@R": "c(person(given = \"Marieke\", family = \"Stolte\", \nemail = \"marieke.stolte@ibe.med.uni-muenchen.de\", role = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0009-0002-0711-6789\")),\nperson(given = \"Luca\", family = \"Sauer\", role = c(\"aut\"),\ncomment = c(ORCID = \"0009-0000-1086-023X\")),\nperson(given = \"David\", family = \"Alvarez-Melis\", role = c(\"ctb\"),\ncomment = \"Original python implementation of OTDD, <https://github.com/microsoft/otdd.git>\"),\nperson(given = \"Nabarun\", family = \"Deb\", role = c(\"ctb\"),\ncomment = \"Original implementation of rank-based Energy test (DS), <https://github.com/NabarunD/MultiDistFree.git>\"),\nperson(given = \"Bodhisattva\", family = \"Sen\", role = c(\"ctb\"),\ncomment = \"Original implementation of rank-based Energy test (DS), <https://github.com/NabarunD/MultiDistFree.git>\"))",
  "Description": "A collection of methods for quantifying the similarity of\ntwo or more datasets, many of which can be used for two- or\nk-sample testing. It provides newly implemented methods as well\nas wrapper functions for existing methods that enable calling\nmany different methods in a unified framework. The methods were\nselected from the review and comparison of Stolte et al. (2024)\n<doi:10.1214/24-SS149>. An empirical comparison of the methods\nwas performed in Stolte et al. (2026)\n<doi:10.48550/arXiv.2604.11458> for categorical data and in\nStolte et al. (2026) <doi:10.48550/arXiv.2604.12327> for\nnumeric data.",
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