pskew: Cumulative distribution function of skewed symmetric model.

In gendist: Generated Probability Distribution Models

Description

Computes cdf of the skewed symmetric model.

Usage

pskew(q, spec1, arg1, spec2, arg2, lower.tail = TRUE, log.p = FALSE)

Arguments

q	scale or vector of values to compute the cdf.
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).
lower.tail	logical; if TRUE, cdf are returned, otherwise 1-cdf.
log.p	logical; if TRUE, probabilities returned are given as log(cdf).

Details

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

F(x) = \int_{-∞}^{x} 2 h(y) G(y) dy, \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 q, giving the cdf values computed at q.

Author(s)

Shaiful Anuar Abu Bakar

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

x=runif(10, min=0, max=1)
y=pskew(x, spec1="norm", arg1=list(mean=0,sd=1), spec2="logis", 
        arg2=list(location=0,scale=2) )

gendist documentation built on May 2, 2019, 3:34 p.m.