Gamma Shape Mixture

Implementation of a Bayesian approach for estimating a mixture of gamma distributions in which the mixing occurs over the shape parameter. This family provides a flexible and novel approach for modeling heavy-tailed distributions, it is computationally efficient, and it only requires to specify a prior distribution for a single parameter.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.3.2 by Sergio Venturini, 5 years ago

Browse source code at

Authors: Sergio Venturini

Documentation:   PDF Manual  

Task views: Cluster Analysis & Finite Mixture Models, Probability Distributions

GPL (>= 2) license

Imports graphics, grDevices, stats

Depends on gtools, methods, utils

Suggested by fitteR.

See at CRAN