Package: Kcop 1.0.0

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>.

Authors:Yves Ismael Ngounou Bakam [aut, cre], Denys Pommeret [aut]

Kcop_1.0.0.tar.gz
Kcop_1.0.0.zip(r-4.7)Kcop_1.0.0.zip(r-4.6)Kcop_1.0.0.zip(r-4.5)
Kcop_1.0.0.tgz(r-4.6-any)Kcop_1.0.0.tgz(r-4.5-any)
Kcop_1.0.0.tar.gz(r-4.7-any)Kcop_1.0.0.tar.gz(r-4.6-any)
Kcop_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Kcop/json (API)

# Install 'Kcop' in R:

install.packages('Kcop', repos = c('https://yvesngounou.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 210 downloads 2 exports 30 dependencies

Last updated from:cbe67d3376. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	113
source / vignettes	OK	164
linux-release-x86_64	NOTE	118
macos-release-arm64	NOTE	161
macos-oldrel-arm64	NOTE	199
windows-devel	NOTE	60
windows-release	NOTE	66
windows-oldrel	NOTE	58
wasm-release	OK	99