qMAP: Modified Alpha Power Exponential Distribution

In mhsayed2021/MAPfit: pdf, cdf, quantile function, rth moment, mode, generate random variates, MLE of parameters, and goodness-of-fit measurse for the MAP distribution

Modified Alpha Power Exponential Distribution

Description

Quantile function of MAP distribution for any base distribution

Usage

qMAP(p,par,distr,lower=0,upper,lower.tail=TRUE,log.p=FALSE)

Arguments

p	scalar or vector of probabilities.
par	named vector or list of the distribution parameters.
distr	character string specifying the base distribution (for example, "exp" for exponential base distribution).
lower	the lower end point of the interval to be searched.
upper	the upper end point of the interval to be searched.
lower.tail	logical; if TRUE, probability are P(X <= x), otherwise, P(X > x).
log.p	logical; if TRUE, probabilities p are given as log(p).

Value

An object of the same length as p, giving the quantile function values computed at p

Author(s)

Mohamed Hussein

References

Hussein, M.; Elsayed, H.; Cordeiro, G.M. A New Family of Continuous Distributions: Properties and Estimation. Symmetry 2022, 14, 276. https://doi.org/10.3390/sym14020276

Examples

qMAP(p=0.5,c(rate=0.2,alpha=2,beta=2),"exp",upper=100)
  qMAP(0.25,c(rate=0.2,alpha=2,beta=2),"exp",upper=100)
  qMAP(0.75,c(alpha=2,beta=2),"norm",upper=100)
  qMAP(log(0.5),c(alpha=5,beta=1,rate=0.5),"exp",lower=0,upper=100,log.p=TRUE)
  qMAP(0.10,c(alpha=1.5,beta=1,rate=0.5),"exp",lower=0,upper=100,lower.tail=FALSE)
  qMAP(p=0.5,c(rate=0.2,alpha=2,beta=2),"exp",upper=100)

mhsayed2021/MAPfit documentation built on July 1, 2023, 9:19 p.m.