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A method for estimating the correlation matrix of the Gaussian copula from the observed data. This package also contains a penalized estimation of the corresponding precision matrix, and enables to generate random vectors that are distributed according to a Gaussian copula.
| Version: | 1.0.0 |
| Depends: | R (≥ 2.10) |
| Imports: | mvtnorm, stats, igraph, matrixcalc, graphics, foreach, stringr, doSNOW, utils, huge |
| Suggests: | knitr, rmarkdown, kableExtra, dplyr |
| Published: | 2025-06-06 |
| Author: | Julie Cartier [aut], Florence Jaffrezic [aut], Gildas Mazo [aut], Ekaterina Tomilina [aut, cre] |
| Maintainer: | Ekaterina Tomilina <ekaterina.tomilina at inrae.fr> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | heterocop results |
| Reference manual: | heterocop.pdf |
| Vignettes: |
heterocop: an R package for Gaussian copula semi-parametric inference for heterogeneous data (source, R code) |
| Package source: | heterocop_1.0.0.tar.gz |
| Windows binaries: | r-devel: heterocop_0.1.1.zip, r-release: heterocop_0.1.1.zip, r-oldrel: heterocop_0.1.1.zip |
| macOS binaries: | r-release (arm64): heterocop_1.0.0.tgz, r-oldrel (arm64): heterocop_1.0.0.tgz, r-release (x86_64): heterocop_0.1.1.tgz, r-oldrel (x86_64): heterocop_0.1.1.tgz |
| Old sources: | heterocop archive |
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