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>.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: base, copula, dplyr, gtools, orthopolynom, stats
Published: 2022-11-16
Author: Yves Ismael Ngounou Bakam [aut, cre], Denys Pommeret [aut]
Maintainer: Yves Ismael Ngounou Bakam <yvesngounou20 at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: Kcop results


Reference manual: Kcop.pdf


Package source: Kcop_1.0.0.tar.gz
Windows binaries: r-devel: Kcop_1.0.0.zip, r-release: Kcop_1.0.0.zip, r-oldrel: Kcop_1.0.0.zip
macOS binaries: r-release (arm64): Kcop_1.0.0.tgz, r-oldrel (arm64): Kcop_1.0.0.tgz, r-release (x86_64): Kcop_1.0.0.tgz, r-oldrel (x86_64): Kcop_1.0.0.tgz


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