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) <doi:10.48550/arXiv.2112.05623> and
Yves I. Ngounou Bakam and Denys Pommeret (2022) <doi:10.48550/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 |
Documentation:
Downloads:
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