# dskew: Probabilty density function of skewed symmetric model.

Description Usage Arguments Details Value Author(s) References Examples

### Description

Computes pdf of the skewed symmetric model.

### Usage

 1 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

 1 2 3 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) ) 

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