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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>.
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Package details |
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| Author | 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 <stolte@statistik.tu-dortmund.de> |
| License | GPL (>= 3) |
| Version | 0.1.1 |
| Package repository | View on CRAN |
| Installation |
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