Package: GenOrd 2.0.0

GenOrd: Simulation of Discrete Random Variables with Given Correlation Matrix and Marginal Distributions via a Gaussian or Student's t Copula

A Gaussian or Student's t copula-based procedure for generating samples from discrete random variables with prescribed correlation matrix and marginal distributions.

Authors:Alessandro Barbiero [aut, cre], Pier Alda Ferrari [aut]

GenOrd_2.0.0.tar.gz
GenOrd_2.0.0.zip(r-4.7)GenOrd_2.0.0.zip(r-4.6)GenOrd_2.0.0.zip(r-4.5)
GenOrd_2.0.0.tgz(r-4.6-any)GenOrd_2.0.0.tgz(r-4.5-any)
GenOrd_2.0.0.tar.gz(r-4.7-any)GenOrd_2.0.0.tar.gz(r-4.6-any)
GenOrd_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GenOrd/json (API)

# Install 'GenOrd' in R:
install.packages('GenOrd', repos = c('https://alessandro-barbiero.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/alessandro-barbiero/genord/issues

On CRAN:

Conda:

5.39 score 22 packages 37 scripts 972 downloads 1 mentions 8 exports 9 dependencies

Last updated from:922f37f517. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING130
source / vignettesOK142
linux-release-x86_64WARNING130
macos-release-arm64WARNING162
macos-oldrel-arm64WARNING150
windows-develWARNING95
windows-releaseWARNING136
windows-oldrelWARNING95
wasm-releaseOK89

Exports:contordcorrcheckestcontordlogLlogL_mle2logLfullordcontordsample

Dependencies:bbmlebdsmatrixcubaturelatticeMASSMatrixmvtnormnumDerivRcpp