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VecDep

Measuring Copula-Based Dependence Between Random Vectors

Provides functions for estimation (parametric, semi-parametric and non-parametric) of copula-based dependence coefficients between a finite collection of random vectors, including phi-dependence measures and Bures-Wasserstein dependence measures. An algorithm for agglomerative hierarchical variable clustering is also implemented. Following the articles De Keyser & Gijbels (2024) <doi:10.1016/j.jmva.2024.105336>, De Keyser & Gijbels (2024) <doi:10.1016/j.ijar.2023.109090>, and De Keyser & Gijbels (2024) <doi:10.48550/arXiv.2404.07141>.

Versions across snapshots

VersionRepositoryFileSize
0.1.3 rolling linux/jammy R-4.5 VecDep_0.1.3.tar.gz 283.5 KiB
0.1.3 rolling linux/noble R-4.5 VecDep_0.1.3.tar.gz 282.9 KiB
0.1.3 rolling source/ R- VecDep_0.1.3.tar.gz 77.5 KiB
0.1.3 latest linux/jammy R-4.5 VecDep_0.1.3.tar.gz 283.5 KiB
0.1.3 latest linux/noble R-4.5 VecDep_0.1.3.tar.gz 282.9 KiB
0.1.3 latest source/ R- VecDep_0.1.3.tar.gz 77.5 KiB
0.1.3 2026-04-26 source/ R- VecDep_0.1.3.tar.gz 77.5 KiB
0.1.3 2026-04-23 source/ R- VecDep_0.1.3.tar.gz 77.5 KiB
0.1.3 2026-04-09 windows/windows R-4.5 VecDep_0.1.3.zip 287.5 KiB
0.1.3 2025-04-20 source/ R- VecDep_0.1.3.tar.gz 77.5 KiB

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