entropy: Tool to calculate the entropy for a generalized log-gamma...
In sglg: Fitting Semi-Parametric Generalized log-Gamma Regression Models

entropy

R Documentation

Tool to calculate the entropy for a generalized log-gamma distribution.

Description

entropy is used to obtain the entropy for a generalized log-gamma distribution.

Usage

entropy(mu, sigma, lambda)

Arguments

`mu`	numeric, represent the location parameter of a generalized log-gamma distribution. Default value is 0.
`sigma`	numeric, represent the scale parameter of a generalized log-gamma distribution. Default value is 1.
`lambda`	numeric, represent the shape parameter of a generalized log-gamma distribution. Default value is 1.

Author(s)

Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>

References

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

Examples

entropy(0,1,-1)    # Extreme value type I distribution, maximum case.
entropy(0,1,1)     # Extreme value type I distribution, minimum case.
entropy(0,1,0.077) # Standard normal distribution.

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