DataSimilarity
0.4.0Quantifying Similarity of Datasets and Multivariate Two- And k-Sample Testing
Overview
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.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
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- NOTE2026-06-1112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 99%
- Return-value docs
- 100%
- References docs
- 93%
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Code & Tests
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Package metadata
- First published
- 2025-03-18
- Total releases
- 4 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 2.5 KB / 1 file
- Download size
- 814 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet