validation.skewness.kurtosis {BinNonNor} R Documentation

## Validates the marginal specification of the continuous non-normal variables

### Description

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

### Usage

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

### Arguments

 n.NN Number of continuous non-normal variables. skewness.vec Skewness vector for continuous non-normal variables. kurtosis.vec Kurtosis vector for continuous non-normal 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.NN<-3
skewness.vec=c(0,2,3)
kurtosis.vec=c(-1.2,6,8)
validation.skewness.kurtosis(n.NN,skewness.vec,kurtosis.vec)

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

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

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

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

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

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

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

## End(Not run)


[Package BinNonNor version 1.5.3 Index]