qDTGIW: The quantile function for Discrete Transmuted Generalized...

In dtgiw: Discrete Transmuted Generalized Inverse Weibull Distribution

The quantile function for Discrete Transmuted Generalized Inverse Weibull (DTGIW) distribution.

Description

This function calculated the quantile values of the DTGIW distribution.

Usage

qDTGIW(p, alpha, beta, lambda, theta, lower.tail = TRUE, log.p = FALSE)

Arguments

p	vector of probabilities
alpha	shape parameter#1.
beta	scale parameter.
lambda	shape pameter#2.
theta	the transmuted parameter.
lower.tail	logical; if TRUE (default), probabilities are Prob of X less than or equal to x. Otherwise, Prob of X greater than x.
log.p	logical(TRUE or FALSE); if log.p=FALSE, then return the cdf; if log.p=TRUE, then return the natural logarithms of the cdf.

Details

The R script calculated the quantile values of the DTGIW distribution is shown based on the research paper in references.

Value

the quantile values of DTGIW distribution

References

Atchanut Rattanalertnusorn and Sirinapa Aryuyuen (2021). The zero-truncated discrete transmuted generalized inverse Weibull distribution and its applications, Songklanakarin Journal of Science and Technology (SJST), Volume 43 No.4 (July - August 2021), pp. 1140 - 1151. DOI: 10.14456/sjst-psu.2021.149.

Examples

x <- c(0:10)
p<- pDTGIW(x,3.45,0.7,1.05,0)
qDTGIW(p,3.45,0.7,1.05,0)

dtgiw documentation built on March 31, 2022, 9:05 a.m.