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heterocop: Semi-Parametric Estimation with Gaussian Copula

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
DOI:10.32614/CRAN.package.heterocop
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

Documentation:

Reference manual:heterocop.html ,heterocop.pdf
Vignettes:heterocop: an R package for Gaussian copula semi-parametric inference for heterogeneous data (source,R code)

Downloads:

Package source: heterocop_1.0.0.tar.gz
Windows binaries: r-devel:heterocop_1.0.0.zip, r-release:heterocop_1.0.0.zip, r-oldrel:heterocop_1.0.0.zip
macOS binaries: r-release (arm64):heterocop_1.0.0.tgz, r-oldrel (arm64):heterocop_1.0.0.tgz, r-release (x86_64):heterocop_1.0.0.tgz, r-oldrel (x86_64):heterocop_1.0.0.tgz
Old sources: heterocop archive

Linking:

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