PoisNonNor (version 1.6.3)

Simultaneous Generation of Count and Continuous Data

Description

Generation of count (assuming Poisson distribution) and continuous data (using Fleishman polynomials) simultaneously. The details of the method are explained in Demirtas et al. (2012) .

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Version

Install

install.packages('PoisNonNor')

Monthly Downloads

233

Version

1.6.3

License

GPL-2 | GPL-3

Maintainer

Ran Gao

Last Published

March 21st, 2021

Functions in PoisNonNor (1.6.3)

intercor.NNP

Computes the subset of the intermediate correlation matrix that is pertinent to the count-continuous 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

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

bounds.corr.GSC.NN

Computes the approximate lower and upper bounds of the correlation matrix entries for the continuous pairs

fleishman.roots

An auxiliary function that is called by Param.fleishman function

RNG.P.NN

Simultaneously generates count and continuous data

Param.fleishman

Calculates the Fleishman coefficients

intercor.NN

Computes the subset of the intermediate correlation matrix that is pertinent to the continuous pairs

bounds.corr.GSC.NNP

Computes the approximate lower and upper bounds of the correlation matrix entries for the continuous-count pairs

PoisNonNor-package

Simultaneous generation of count and continuous data with Poisson and continuous marginals