PoisNor: Simultaneous Generation of Multivariate Data with Poisson and Normal Marginals

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Generates multivariate data with count and continuous variables with a pre-specified correlation matrix. The count and continuous variables are assumed to have Poisson and normal marginals, respectively. The data generation mechanism is a combination of the normal to anything principle and a connection between Poisson and normal correlations in the mixture.

Author
Anup Amatya and Hakan Demirtas
Date of publication
2016-07-01 10:57:24
Maintainer
Anup Amatya <aamatya@nmsu.edu>
License
GPL-2
Version
1.1

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Man pages

cmat.star
Computes the correlation of intermediate multivariate normal...
Cor.PN.Limit
Finds the feasible correlation range for a pair of Poisson...
Cor.PP.Limit
Finds the feasible correlation range for a pair of Poisson...
genPoisNor
Generates a data set with Poisson and normal variables.
PoisNor-package
Simultaneous Generation of Multivariate Data with Poisson and...
Validate.correlation
Checks the target correlation matrix.
Valid.correlation
Computes the lower and upper correlation bounds in the form...

Files in this package

PoisNor
PoisNor/NAMESPACE
PoisNor/R
PoisNor/R/Cor.PN.Limit.R
PoisNor/R/Valid.correlation.R
PoisNor/R/Validate.correlation.R
PoisNor/R/genPoisNor.R
PoisNor/R/Cor.PP.Limit.R
PoisNor/R/cmat.star.R
PoisNor/MD5
PoisNor/DESCRIPTION
PoisNor/man
PoisNor/man/Cor.PP.Limit.Rd
PoisNor/man/Valid.correlation.Rd
PoisNor/man/Validate.correlation.Rd
PoisNor/man/PoisNor-package.Rd
PoisNor/man/Cor.PN.Limit.Rd
PoisNor/man/cmat.star.Rd
PoisNor/man/genPoisNor.Rd