Simultaneous Generation of Count and Continuous Data

Documentation for package ‘PoisNonNor’ version 1.6.3

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