mrl_gg: Mean Residual Lifetime Function for a Generalized Gamma...

In sglg: Fitting Semi-Parametric Generalized log-Gamma Regression Models

Mean Residual Lifetime Function for a Generalized Gamma Distribution

Description

mrl_gg is used to obtain the value of the mean residual lifetime function of a generalized gamma distribution at a positive value.

Usage

mrl_gg(x = 1, mu = 0, sigma = 1, lambda = 1)

Arguments

x	numeric, represent a vector of positive values. Default value is 1.
mu	numeric, represents the location parameter of a generalized gamma distribution. Default value is 0.
sigma	numeric, represents the scale parameter of a generalized gamma distribution. Default value is 1.
lambda	numeric, represents the shape parameter of a generalized gamma distribution. Default value is 1.

Value

A numeric value of the mean residual lifetime of a generalized gamma distribution.

Author(s)

Carlos Alberto Cardozo Delgado <[e-mail]>

References

Carlos Alberto Cardozo Delgado, Semi-parametric generalized log-gamma regression models. Ph.D. thesis. Sao Paulo University.

Jerald F. Lawless (2003). Statistical Models and Methods for Lifetime Data. Second Edition. John-Wiley & Sons

Examples

mrl_gg(x=0,mu=0,sigma=2,lambda=1) # Extreme value type I distribution, maximum case.

sglg documentation built on Nov. 28, 2025, 1:06 a.m.