validation.skewness.kurtosis {PoisBinNonNor}

Validates the marginal specification of the continuous variables

Description

Checks whether the marginal specification of the continuous part is valid and consistent.

Usage

validation.skewness.kurtosis(n.C, skewness.vec = NULL, kurtosis.vec = NULL)

Arguments

n.C

Number of continuous variables.

skewness.vec

Skewness vector for continuous variables.

kurtosis.vec

Kurtosis vector for continuous variables.

Value

The function returns TRUE if no specification problem is encountered. Otherwise, it returns an error message.

References

Demirtas, H., Hedeker, D., and Mermelstein, R.J. (2012). Simulation of massive public health data by power polynomials. Statistics in Medicine, 31(27), 3337-3346.

Examples

n.C<-3
skewness.vec=c(0,2,3)
kurtosis.vec=c(-1.2,6,8)
validation.skewness.kurtosis(n.C,skewness.vec,kurtosis.vec)

## Not run: 
n.C<--1
skewness.vec=c(0)
kurtosis.vec=c(-1.2)
validation.skewness.kurtosis(n.C,skewness.vec,kurtosis.vec)

n.C<-3
skewness.vec=c(0,2,3)
kurtosis.vec=c(-1.2,6,5)
validation.skewness.kurtosis(3)

n.C<-3
skewness.vec=c(0,2,3)
kurtosis.vec=c(-1.2,6,5)
validation.skewness.kurtosis(n.C,skewness.vec)
validation.skewness.kurtosis(n.C,kurtosis.vec)

n.C<-0
skewness.vec=c(0,2,3)
kurtosis.vec=c(-1.2,6,8)
validation.skewness.kurtosis(n.C,skewness.vec,kurtosis.vec)

n.C<-2
skewness.vec=c(0,2,3)
kurtosis.vec=c(-1.2,6,8)
validation.skewness.kurtosis(n.C,skewness.vec,kurtosis.vec)

n.C<-2
skewness.vec=c(0,2,3)
kurtosis.vec=c(-1.2,6)
validation.skewness.kurtosis(n.C,skewness.vec,kurtosis.vec)

skewness.vec=c(2,3)
kurtosis.vec=c(1,5)
validation.skewness.kurtosis(n.C,skewness.vec,kurtosis.vec)

## End(Not run)