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 |