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]

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Kcop.pdf |Kcop.html
Kcop/json (API)

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

Peer review:

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 187 downloads 2 exports 30 dependencies

Last updated 2 years agofrom:cbe67d3376. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 15 2024
R-4.5-winNOTENov 15 2024
R-4.5-linuxNOTENov 15 2024
R-4.4-winNOTENov 15 2024
R-4.4-macNOTENov 15 2024
R-4.3-winNOTENov 15 2024
R-4.3-macNOTENov 15 2024

Exports:KcopClustKcopTest

Dependencies:ADGofTestclicolorspacecopuladplyrfansigenericsgluegslgtoolslatticelifecyclemagrittrMatrixmvtnormnumDerivorthopolynompcaPPpillarpkgconfigpolynompsplineR6rlangstabledisttibbletidyselectutf8vctrswithr