GSM: Gamma Shape Mixture

This package implements a Bayesian approach for estimation of 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.

Version: 1.3
Depends: gtools, methods, utils
Published: 2012-03-07
Author: Sergio Venturini
Maintainer: Sergio Venturini <sergio.venturini at unibocconi.it>
License: GPL (≥ 2)
URL: http://projecteuclid.org/euclid.aoas/1215118537
NeedsCompilation: no
In views: Cluster, Distributions
CRAN checks: GSM results

Downloads:

Package source: GSM_1.3.tar.gz
MacOS X binary: GSM_1.3.tgz
Windows binary: GSM_1.3.zip
Reference manual: GSM.pdf
Old sources: GSM archive