Simulation of Discrete Random Variables with Given Correlation Matrix and Marginal Distributions via a Gaussian or Student's t Copula [R package GenOrd version 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.

Version:	2.0.0
Imports:	Matrix, mvtnorm, bbmle, cubature, stats, utils
Published:	2025-09-22
Author:	Alessandro Barbiero [aut, cre], Pier Alda Ferrari [aut]
Maintainer:	Alessandro Barbiero <alessandro.barbiero at unimi.it>
License:	GPL-3
NeedsCompilation:	no
In views:	Distributions
CRAN checks:	GenOrd results

Documentation:

Reference manual:

GenOrd.html , GenOrd.pdf

Downloads:

Package source:	GenOrd_2.0.0.tar.gz
Windows binaries:	r-devel: GenOrd_1.4.0.zip, r-release: GenOrd_2.0.0.zip, r-oldrel: GenOrd_1.4.0.zip
macOS binaries:	r-release (arm64): GenOrd_2.0.0.tgz, r-oldrel (arm64): GenOrd_2.0.0.tgz, r-release (x86_64): GenOrd_2.0.0.tgz, r-oldrel (x86_64): GenOrd_2.0.0.tgz
Old sources:	GenOrd archive

Reverse dependencies:

Reverse depends:	BinOrdNonNor, OrdNor, PoisBinOrd, PoisBinOrdNonNor, PoisBinOrdNor
Reverse imports:	bdlp, CorrToolBox, SimMultiCorrData

Linking:

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