qPGaGEV {PGaGEV}R Documentation

The quantile function of the power Garima-generalized extreme value distribution(PGaGEV).

Description

This function calculated the quantile values of PGaGEV distribution.

Usage

qPGaGEV(p, mu, sigma, xi, a, b, c)

Arguments

p

vector of probabilities.

mu

location parameter.mu=[-Inf,Inf].

sigma

scale parameter number 1. sigma>0.

xi

shape parameter number 1. xi=[-Inf,Inf].

a

scale parameter number 2. a>0.

b

scale parameter number 3. b>0.

c

shape parameter number 2. c=[-Inf,Inf].

Details

The quantile function of PGaGEV distribution based on the research paper in references.

Value

the quantile values of PGaGEV distribution.

References

Kittipong Klinjan, Tipat Sottiwan and Sirinapa Aryuyuen (2024). Extreme value analysis with new generalized extreme value distributions: a case study for risk analysis on pm2.5 and pm10 in pathum thani, thailand, Commun. Math. Biol. Neurosci. 2024, 2024:100.DOI:10.28919/cmbn/8833.

Examples

qPGaGEV(0.1639605,2,1,0.5,0.5,0.5,0.5)
x=c(1.2,1.3,1.4)
p <- pPGaGEV(x,2,1,0.5,0.5,0.5,0.5)
qPGaGEV(p,2,1,0.5,0.5,0.5,0.5)

[Package PGaGEV version 0.1.0 Index]