| 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 |