R: Concurrent Generation of Binary, Ordinal and Continuous Data

# Concurrent Generation of Binary, Ordinal and Continuous Data

## Documentation for package ‘BinOrdNonNor’ version 1.5.2

- DESCRIPTION file

## Help Pages

BinOrdNonNor-package | Concurrent generation of binary, ordinal and continuous data
BinOrdNonNor | Concurrent generation of binary, ordinal and continuous data
cmat.star.BinOrdNN | Computes the intermediate correlation matrix
Fleishman.coef.NN | Computes the Fleishman coefficients for each continuous variable
genBinOrdNN | Generates a data set with binary, ordinal and continuous variables
IntermediateNonNor | Computes the intermediate correlations for all continuous pairs
IntermediateONN | Computes the intermediate (biserial/polyserial) correlations given the point-biserial/polyserial correlations for binary/ordinal-continuous pairs prior to dichotomization/ordinalization
LimitforNN | Finds the feasible correlation range for a pair of continuous variables
LimitforONN | Finds the feasible correlation range for a pair of binary/ordinal and continuous variables
Limit_forNN | Finds the feasible correlation range for a pair of continuous variables
Limit_forONN | Finds the feasible correlation range for a pair of binary/ordinal and continuous variables
valid.limits.BinOrdNN | Computes the lower and upper bounds of correlation in the form of two matrices
validate.target.cormat.BinOrdNN | Checks the validity of the target correlation matrix