# PoisNonNor v1.6.1

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## Simultaneous Generation of Count and Continuous Data

Generation of count (assuming Poisson distribution) and continuous data (using Fleishman polynomials) simultaneously.

## Functions in PoisNonNor

Name | Description | |

bounds.corr.GSC.NNP | Computes the approximate lower and upper bounds of the correlation matrix entries for the continuous-count pairs | |

intercor.all | Computes the intermediate correlation matrix | |

intercor.PP | Computes the subset of the intermediate correlation matrix that is pertinent to the count pairs | |

intercor.NN | Computes the subset of the intermediate correlation matrix that is pertinent to the continuous pairs | |

PoisNonNor-package | Simultaneous generation of count and continuous data with Poisson and continuous marginals | |

Param.fleishman | Calculates the Fleishman coefficients | |

RNG.P.NN | Simultaneously generates count and continuous data | |

intercor.NNP | Computes the subset of the intermediate correlation matrix that is pertinent to the count-continuous pairs | |

bounds.corr.GSC.NN | Computes the approximate lower and upper bounds of the correlation matrix entries for the continuous pairs | |

bounds.corr.GSC.PP | Computes the approximate lower and upper bounds of the correlation matrix entries for the count pairs | |

Validate.correlation | Checks the validity of the specified correlation matrix | |

fleishman.roots | An auxiliary function that is called by Param.fleishman function | |

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## Last month downloads

## Details

Type | Package |

Date | 2019-05-15 |

License | GPL-2 | GPL-3 |

NeedsCompilation | no |

Packaged | 2019-05-15 21:14:37 UTC; rangao |

Repository | CRAN |

Date/Publication | 2019-05-15 21:40:08 UTC |

depends | BB , corpcor , MASS , Matrix |

Contributors | Hakan Demirtas, Rawan Allozi, Yaru Shi, Ran Gao |

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