entropy function

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

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

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.

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.

References

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

Author(s)

Carlos Alberto Cardozo Delgado cardozorpackages@gmail.com