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:
Kcop_1.0.0.tar.gz
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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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:cbe67d3376. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 15 2024 |
R-4.5-win | NOTE | Nov 15 2024 |
R-4.5-linux | NOTE | Nov 15 2024 |
R-4.4-win | NOTE | Nov 15 2024 |
R-4.4-mac | NOTE | Nov 15 2024 |
R-4.3-win | NOTE | Nov 15 2024 |
R-4.3-mac | NOTE | Nov 15 2024 |
Dependencies:ADGofTestclicolorspacecopuladplyrfansigenericsgluegslgtoolslatticelifecyclemagrittrMatrixmvtnormnumDerivorthopolynompcaPPpillarpkgconfigpolynompsplineR6rlangstabledisttibbletidyselectutf8vctrswithr