qskew: Quantile function of skewed symmetric model.

In gendist: Generated Probability Distribution Models

Description

Computes qf of the skewed symmetric model.

Usage

qskew(p, spec1, arg1, spec2, arg2, interval = c(1, 10), lower.tail = TRUE, log.p = FALSE)

Arguments

p	scalar or vector of probabilities to compute the qf.
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).
interval	a vector of interval end-points for p to search for the function root.
lower.tail	logical; if TRUE, probabilities are p, otherwise 1-p.
log.p	logical; if TRUE, probabilities p are returned as log(p).

Value

An object of the same length as p, giving the qf values computed at p.

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=qskew(x, spec1="norm", arg1=list(mean=0,sd=0.1), spec2="logis", 
        arg2=list(location=0,scale=0.2))

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