PoisBinOrdNor (version 1.3)

genPBONdata: Generates correlated data with multiple count, binary, ordinal and normal variables

Description

This function simulates a multivariate data set that is composed of count, binary, ordinal and normal variables with specified marginals and a correlation matrix.

Usage

genPBONdata(n, no_pois, no_bin, no_ord, no_norm, inter.mat, lamvec, prop_vec_bin, prop_vec_ord, nor.mean, nor.var)

Arguments

n

Number of rows

no_pois

Number of count variables

no_bin

Number of binary variables

no_ord

Number of ordinal variables

no_norm

Number of normal variables

inter.mat

The intermediate correlation matrix obtained from function intermat

lamvec

A vector of marginal rates for the count variables

prop_vec_bin

A vector of probabilities for the binary variables

prop_vec_ord

A vector of probabilities for the ordinal variables. For each of the variable, the i-th element of the pvec is the cumulative probability defining the marginal distribution of the ordinal variable. If the variable has k categories, the i-th element of p will contain k-1 probabilities. The k-th element is implicitly 1.

nor.mean

A vector of means for the normal variables

nor.var

A vector of variances for the normal variables

Value

Examples

## Not run: 
# 
# ss=10000
# num_pois<-2
# num_bin<-1
# num_ord<-2
# num_norm<-1
# 
# lamvec=sample(10,2)
# pbin=runif(1)
# pord=list(c(0.1, 0.9), c(0.2, 0.3, 0.5))
# nor.mean=3.1
# nor.var=0.85
# M=c(-0.05, 0.26, 0.14, 0.09, 0.14, 0.12, 0.13, -0.02, 0.17, 0.29, 
# -0.04, 0.19, 0.10, 0.35, 0.39)
# N=diag(6)
# N[lower.tri(N)]=M
# TV=N+t(N)
# diag(TV)<-1
# intmat<-intermat(num_pois,num_bin,num_ord,num_norm,corr_mat=TV,pbin,pord,lamvec,
# nor.mean,nor.var)
# 
# genPBONdata(ss,num_pois,num_bin,num_ord,num_norm,intmat,lamvec,pbin,pord,nor.mean,nor.var)
# ## End(Not run)