gendist (version 2.0)

dskew: Probabilty density function of skewed symmetric model.

Description

Computes pdf of the skewed symmetric model.

Usage

dskew(x, spec1, arg1, spec2, arg2, log = FALSE)

Arguments

x

scalar or vector of values to compute the pdf.

spec1

a character string specifying the parent distribution \(g(x)\) (for example, "norm" if the parent distribution corresponds to the normal).

arg1

list of arguments/parameters of the parent distribution \(g(x)\).

spec2

a character string specifying the parent distribution \(H(x)\) (for example, "logis" if the parent distribution corresponds to the logistic).

arg2

list of arguments/parameters of the parent distribution \(H(x)\).

log

logical; if TRUE, log(pdf) are returned.

Value

An object of the same length as x, giving the pdf values computed at x.

Details

The pdf of skewed symmetric model has a general form of: $$ f(x) = 2h(x)G(x), \quad -\infty < x < \infty $$ where \(h(x)\) and \(G(x)\) are the pdf and cdf of parent distributions, respectively.

References

Abu Bakar, S. A., Nadarajah, S., Adzhar, Z. A. A. K., & Mohamed, I. (2016). gendist: An R package for generated probability distribution models. PloS one, 11(6). Azzalini, A. (1985). A class of distributions which includes the normal ones. Scandinavian journal of statistics, 171-178.

Examples

# NOT RUN {
x=runif(10, min=0, max=1)
y=dskew(x, spec1="norm", arg1=list(mean=0,sd=1), spec2="logis", 
        arg2=list(location=0,scale=2) )
# }