Concurrent Generation of Ordinal and Normal Data with Given Correlation Matrix and Marginal Distributions
Computes the correlation of intermediate multivariate normal data befo...
Generates a data set with ordinal and normal variables
Computes intermediate correlations for ordinal-normal pairs before ord...
Computes intermediate correlations for ordinal-ordinal pairs before or...
Finds the feasible correlation range for a pair of ordinal and normal ...
Finds the feasible correlation range for a pair of ordinal variables
Ordinalizes the standard normal variable
Concurrently generates ordinal and normal variables with a specified c...
Computes the lower and upper bounds of correlation in the form of two ...
Checks the validity of ordinal probabilities
Checks the target correlation matrix
Implementation of a procedure for generating samples from a mixed distribution of ordinal and normal random variables with a pre-specified correlation matrix and marginal distributions. The details of the method are explained in Demirtas et al. (2015) <DOI:10.1080/10543406.2014.920868>.