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

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