Package: heterocop 0.1.0.0

Ekaterina Tomilina

heterocop: Semi-Parametric Estimation with Gaussian Copula

A method for generating random vectors which are linked by a Gaussian copula. It also enables to estimate the correlation matrix of the Gaussian copula in order to identify independencies within the data.

Authors:Julie Cartier [aut], Florence Jaffrezic [aut], Gildas Mazo [aut], Ekaterina Tomilina [aut, cre]

heterocop_0.1.0.0.tar.gz
heterocop_0.1.0.0.tar.gz(r-4.5-noble)heterocop_0.1.0.0.tar.gz(r-4.4-noble)
heterocop_0.1.0.0.tgz(r-4.4-emscripten)heterocop_0.1.0.0.tgz(r-4.3-emscripten)
heterocop.pdf |heterocop.html✨
heterocop/json (API)

# Install 'heterocop' in R:

install.packages('heterocop', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

icgc_data - ICGC dataset

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 7 exports 20 dependencies

Last updated 19 days agofrom:076ae48aa6. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 07 2024
R-4.5-linux	OK	Nov 07 2024

Exports:CopulaSim cor_network_graph diag_block_matrix gauss_gen matrix_cor_ts matrix_gen rho_estim

Dependencies:cli codetools cpp11 doSNOW foreach glue igraph iterators lattice lifecycle magrittr Matrix matrixcalc mvtnorm pkgconfig rlang snow stringi stringr vctrs

heterocop: an R package for Gaussian copula semi-parametric inference for heterogeneous data

Ekaterina Tomilina

Rendered fromheterocop.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2024-11-06
Started: 2024-11-06

Citation

Readme and manuals

Help Manual

Help page	Topics
CopulaSim	CopulaSim
cor_network_graph	cor_network_graph
diag_block_matrix	diag_block_matrix
gauss_gen	gauss_gen
ICGC dataset	icgc_data
matrix_cor_ts	matrix_cor_ts
matrix_gen	matrix_gen
rho_estim	rho_estim