pglg: Cumulative distribution function for a generalized log-gamma...

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

Cumulative distribution function for a generalized log-gamma variable

Description

pglg is used to calculate the cumulative distribution function of a generalized log-gamma variable at x.

Usage

pglg(x, location, scale, shape)

Arguments

x	numeric, a vector of real values.
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 cumulative probability 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

x <- runif(3,-1,1)
pglg(sort(x),location=0, scale=1, shape=1)

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