DataSimilarity-package: Quantifying Similarity of Datasets and Multivariate Two- And...

In DataSimilarity: Quantifying Similarity of Datasets and Multivariate Two- And k-Sample Testing

Quantifying Similarity of Datasets and Multivariate Two- And k-Sample Testing

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>.

Details

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The package provides various methods for comparing two or more datasets or their underlying distributions. Often, a permutation or asymptotic test for the null hypothesis of equal distributions H_0: F_1 = F_2 or H_0: F_1 = \dots = F_k is performed.

Author(s)

Marieke Stolte [aut, cre, cph] (<https://orcid.org/0009-0002-0711-6789>), 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 <[e-mail]>

References

Stolte, M., Kappenberg, F., Rahnenführer, J., Bommert, A. (2024). Methods for quantifying dataset similarity: a review, taxonomy and comparison. Statist. Surv. 18, 163 - 298. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1214/24-SS149")}

Stolte, M., Kappenberg, F., Rahnenführer, J. & Bommert, A. (2024). A Comparison of Methods for Quantifying Dataset Similarity. https://shiny.statistik.tu-dortmund.de/data-similarity/

DataSimilarity documentation built on April 3, 2025, 9:39 p.m.