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Kcop

Smooth Test for Equality of Copulas and Clustering Multivariate

Implements approaches of non-parametric smooth test to compare simultaneously K(K>1) copulas and non-parametric clustering of multivariate populations with arbitrary sizes. See Yves I. Ngounou Bakam and Denys Pommeret (2022) <arXiv:2112.05623> and Yves I. Ngounou Bakam and Denys Pommeret (2022) <arXiv:2211.06338>.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 Kcop_1.0.0.tar.gz 44.8 KiB
1.0.0 rolling linux/noble R-4.5 Kcop_1.0.0.tar.gz 44.7 KiB
1.0.0 rolling source/ R- Kcop_1.0.0.tar.gz 6.1 KiB
1.0.0 latest linux/jammy R-4.5 Kcop_1.0.0.tar.gz 44.8 KiB
1.0.0 latest linux/noble R-4.5 Kcop_1.0.0.tar.gz 44.7 KiB
1.0.0 latest source/ R- Kcop_1.0.0.tar.gz 6.1 KiB
1.0.0 2026-04-26 source/ R- Kcop_1.0.0.tar.gz 6.1 KiB
1.0.0 2026-04-23 source/ R- Kcop_1.0.0.tar.gz 6.1 KiB
1.0.0 2026-04-09 windows/windows R-4.5 Kcop_1.0.0.zip 47.1 KiB
1.0.0 2025-04-20 source/ R- Kcop_1.0.0.tar.gz 6.1 KiB

Dependencies (latest)

Imports