dskew: Probabilty density function of skewed symmetric model.

In gendist: Generated Probability Distribution Models

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.

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

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) )

gendist documentation built on May 30, 2017, 12:32 a.m.

Probabilty density function of mixture model.

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Generated Probability Distribution Models