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. |
sigma |
scale parameter number 1. |
xi |
shape parameter number 1. |
a |
scale parameter number 2. |
b |
scale parameter number 3. |
c |
shape parameter number 2. |
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]