rglg: Random number generation for a generalized log-gamma...

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

Random number generation for a generalized log-gamma distribution

Description

rglg is used to generate random numbers for a generalized log-gamma distribution.

Usage

rglg(n, location, scale, shape)

Arguments

n	numeric, size of the random sample.
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 of size n with the generalized log-gamma random values.

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

u <- rglg(100, location = 0, scale = 1, shape = -1)

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