PoisNor (version 1.3.3)

genPoisNor: Generates a data set with Poisson and normal variables

Description

The function simulates multivariate data with Poisson and normal components with a pre-specified correlation matrix and marginal distributions.

Usage

genPoisNor(n, no.norm, no.pois, cmat.star, lamvec, sd.vec, mean.vec)

Arguments

n

Number of rows

no.pois

Number of Poisson variables.

no.norm

Number of normal variables.

cmat.star

The intermediate correlation matrix obtained from cmat.star function.

lamvec

A vector of marginal rates for Poisson variables.

mean.vec

A vector of means for the normal variables.

sd.vec

A vector of standard deviations for the normal variables.

Value

A matrix of size \(n \times (no.pois + no.norm)\), of which first no.pois are Poisson variables.

Examples

# NOT RUN {
  lamvec= c(0.05,0.07,0.09)
  M=c(0.352, 0.265, 0.342, 0.09, 0.141, 0.121, 0.297, 
		-0.022, 0.177, 0.294, -0.044, 0.129, 0.1, 0.354, 0.386)
  N=diag(6)
  N[lower.tri(N)]=M
  TV=N+t(N)
  diag(TV)<-1
  
  cstar = cmat.star(no.pois=3, no.norm=3, TV, lamvec)
  mydata=genPoisNor(n=200, no.norm=3,  no.pois=3, cmat.star=cstar,
		 lamvec, sd.vec=c(1,1,1), mean.vec=c(0,0,0))
# }