qq.logis.exp: Quantile versus quantile (QQ) plot for the...

In reliaR: Comprehensive Tools for some Probability Distributions

Quantile versus quantile (QQ) plot for the Logistic-Exponential(LE) distribution

Description

The function qq.logis.exp() produces a QQ plot for the ExpExt based on their MLE or any other estimate. Also, a line going through the first and the third quartile can be sketched.

Usage

qq.logis.exp(x, alpha.est, lambda.est, main = " ", line.qt = FALSE, ...)

Arguments

x	vector of observations
alpha.est	estimate of the parameter alpha
lambda.est	estimate of the parameter lambda
main	the title for the plot
line.qt	logical; if TRUE, a line going by the first and third quartile is sketched.
...	additional arguments to be passed to the underlying plot function.

Value

The function qq.logis.exp() carries out a QQ plot for the Exponetial Extension.

References

Lan, Y. and Leemis, L. M. (2008). The Logistic-Exponential Survival Distribution, Naval Research Logistics, 55, 252-264.

See Also

pp.logis.exp for PP plot and ks.logis.exp function;

Examples

## Load data sets
data(bearings)
## Maximum Likelihood(ML) Estimates of alpha & lambda for the data(bearings)
## Estimates of alpha & lambda using 'maxLik' package
## alpha.est = 2.36754, lambda.est = 0.01059

qq.logis.exp(bearings, 2.36754, 0.01059, main = " ", line.qt = FALSE)

reliaR documentation built on Nov. 5, 2025, 6:57 p.m.