Probabilty density function of skewed symmetric model.

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Description

Computes pdf of the skewed symmetric model.

Usage

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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.

Details

The pdf of skewed symmetric model has a general form of:

f(x) = 2h(x)G(x), \quad -∞ < x < ∞

where h(x) and G(x) are the pdf and cdf of parent distributions, respectively.

Value

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

Author(s)

Shaiful Anuar Abu Bakar

References

S.A. Abu Bakar, S. Nadarajah, Z.A. ABSL Kamarul Adzhar, I. Mohamed. gendist: An R package for generated probability distribution models, submitted.
Azzalini, A. (1985). A class of distributions which includes the normal ones. Scandinavian journal of statistics, 171-178.

Examples

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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) )