R: Simultaneous Generation of Count and Continuous Data

# Simultaneous Generation of Count and Continuous Data

## Documentation for package ‘PoisNonNor’ version 1.6.3

- DESCRIPTION file

## Help Pages

PoisNonNor-package | Simultaneous generation of count and continuous data with Poisson and continuous marginals
bounds.corr.GSC.NN | Computes the approximate lower and upper bounds of the correlation matrix entries for the continuous pairs
bounds.corr.GSC.NNP | Computes the approximate lower and upper bounds of the correlation matrix entries for the continuous-count pairs
bounds.corr.GSC.PP | Computes the approximate lower and upper bounds of the correlation matrix entries for the count pairs
fleishman.roots | An auxiliary function that is called by Param.fleishman function
intercor.all | Computes the intermediate correlation matrix
intercor.NN | Computes the subset of the intermediate correlation matrix that is pertinent to the continuous pairs
intercor.NNP | Computes the subset of the intermediate correlation matrix that is pertinent to the count-continuous pairs
intercor.PP | Computes the subset of the intermediate correlation matrix that is pertinent to the count pairs
Param.fleishman | Calculates the Fleishman coefficients
PoisNonNor | Simultaneous generation of count and continuous data with Poisson and continuous marginals
RNG.P.NN | Simultaneously generates count and continuous data
RNG_P_NN | Simultaneously generates count and continuous data
Validate.correlation | Checks the validity of the specified correlation matrix