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

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

## Documentation for package ‘GenOrd’ version 2.1.0

- DESCRIPTION file
- Package README

## Help Pages

GenOrd-package | Simulation of Discrete Random Variables with a Given Marginal Distributions and Correlation Matrix
contord | Correlations of discretized variables
corrcheck | Checking correlations for feasibility
estcontord | Estimation based on a bivariate sample of the multivariate discrete model obtained by discretizing a latent standard normal or Student's t distribution
logL | Log-likelihood value for the t-copula-based model
logLfull | Log-likelihood value for the t-copula-based model
logLfullz | Log-likelihood value for the t-copula-based model (with marginal probabilities transformed into unconstrained variables)
logL_mle2 | Log-likelihood function for the t-copula-based model
ordcont | Computing the "intermediate" correlation matrix for the multivariate standard normal or Student's t 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
p_rect_t | Rectangle Probability for a Bivariate Student's t Distribution