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.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(PoisBinNonNor)
Loading required package: BB
Loading required package: corpcor
Loading required package: Matrix
Loading required package: mvtnorm
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/PoisBinNonNor/validation.skewness.kurtosis.Rd_%03d_medium.png", width=480, height=480)
> ### Name: validation.skewness.kurtosis
> ### Title: Validates the marginal specification of the continuous variables
> ### Aliases: validation.skewness.kurtosis
>
> ### ** 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)
[1] TRUE
>
> ## Not run:
> ##D n.C<--1
> ##D skewness.vec=c(0)
> ##D kurtosis.vec=c(-1.2)
> ##D validation.skewness.kurtosis(n.C,skewness.vec,kurtosis.vec)
> ##D
> ##D n.C<-3
> ##D skewness.vec=c(0,2,3)
> ##D kurtosis.vec=c(-1.2,6,5)
> ##D validation.skewness.kurtosis(3)
> ##D
> ##D n.C<-3
> ##D skewness.vec=c(0,2,3)
> ##D kurtosis.vec=c(-1.2,6,5)
> ##D validation.skewness.kurtosis(n.C,skewness.vec)
> ##D validation.skewness.kurtosis(n.C,kurtosis.vec)
> ##D
> ##D n.C<-0
> ##D skewness.vec=c(0,2,3)
> ##D kurtosis.vec=c(-1.2,6,8)
> ##D validation.skewness.kurtosis(n.C,skewness.vec,kurtosis.vec)
> ##D
> ##D n.C<-2
> ##D skewness.vec=c(0,2,3)
> ##D kurtosis.vec=c(-1.2,6,8)
> ##D validation.skewness.kurtosis(n.C,skewness.vec,kurtosis.vec)
> ##D
> ##D n.C<-2
> ##D skewness.vec=c(0,2,3)
> ##D kurtosis.vec=c(-1.2,6)
> ##D validation.skewness.kurtosis(n.C,skewness.vec,kurtosis.vec)
> ##D
> ##D skewness.vec=c(2,3)
> ##D kurtosis.vec=c(1,5)
> ##D validation.skewness.kurtosis(n.C,skewness.vec,kurtosis.vec)
> ## End(Not run)
>
>
>
>
>
> dev.off()
null device
1
>