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

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

## Documentation for package ‘OrdNor’ version 2.2.3

- DESCRIPTION file

## Help Pages

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