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

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

## Documentation for package ‘GenOrd’ version 2.0.0

- DESCRIPTION file

## Help Pages

GenOrd-package | Simulation of Discrete Random Variables with Given Correlation Matrix and Marginal Distributions
contord | Correlations of discretized variables
corrcheck | Checking correlations for feasibility
estcontord | Estimating based on a bivariate sample of the multivariate latent standard normal or Student's t distribution
logL | Log-likelihood function for the t-copula-based model
logLfull | Log-likelihood function for the t-copula-based model
logL_mle2 | Log-likelihood function for the t-copula-based model
ordcont | Computing the "intermediate" correlation matrix for the multivariate standard normal in order to achieve the "target" correlation matrix for the multivariate discrete variable
ordsample | Drawing a sample of discrete data
pmvt.alt | Probabilities for a multivariate t with non-integer degrees-of-freedom parameter