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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 |
| 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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