Concurrent Generation of Ordinal and Normal Data with Given Correlation Matrix and Marginal Distributions

Documentation for package ‘OrdNor’ version 2.2.3

OrdNor-package	Concurrently generates ordinal and normal variables with a specified correlation matrix and marginal distributions
cmat.star	Computes the correlation of intermediate multivariate normal data before subsequent ordinalization
genOrdNor	Generates a data set with ordinal and normal variables
IntermediateON	Computes intermediate correlations for ordinal-normal pairs before ordinalization
IntermediateOO	Computes intermediate correlations for ordinal-ordinal pairs before ordinalization
LimitforON	Finds the feasible correlation range for a pair of ordinal and normal variable
LimitforOO	Finds the feasible correlation range for a pair of ordinal variables
Limit_forON	Finds the feasible correlation range for a pair of ordinal and normal variable
Limit_forOO	Finds the feasible correlation range for a pair of ordinal variables
ordinalize	Ordinalizes the standard normal variable
OrdNor	Concurrently generates ordinal and normal variables with a specified correlation matrix and marginal distributions
valid.limits	Computes the lower and upper bounds of correlation in the form of two matrices
validate.plist	Checks the validity of ordinal probabilities
validate.target.cormat	Checks the target correlation matrix