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
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Type Package
Date 2019-05-15
License GPL-2 | GPL-3
NeedsCompilation no
Packaged 2019-05-15 21:14:37 UTC; rangao
Repository CRAN
Date/Publication 2019-05-15 21:40:08 UTC

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