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PoisNonNor (version 1.6.1)

Simultaneous Generation of Count and Continuous Data

Description

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

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Version

Install

install.packages('PoisNonNor')

Monthly Downloads

201

Version

1.6.1

License

GPL-2 | GPL-3

Maintainer

Ran Gao

Last Published

May 15th, 2019

Functions in PoisNonNor (1.6.1)

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