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 |