qglg: Quantile function for a generalized log-gamma distribution

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

Quantile function for a generalized log-gamma distribution

Description

qglg is used to calculate the quantile function of a generalized log-gamma variable at x.

Usage

qglg(x, location, scale, shape)

Arguments

x	numeric, a vector with values between 0 and 1.
location	numeric, represents the location parameter of a generalized log-gamma distribution. Default value is 0.
scale	numeric, represents the scale parameter of a generalized log-gamma distribution. Default value is 1.
shape	numeric, represents the shape parameter of a generalized log-gamma distribution. Default value is 1.

Value

A vector with the same size of x with the quantile values of a generalized log-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.

Examples

# Calculating the quartiles of a glg(0,1,-1) distribution
x <- c(0.25, 0.5, 0.75)
qglg(x, location = 0, scale = 1, shape = -1)

sglg documentation built on Sept. 4, 2022, 9:05 a.m.