# 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 No Results!