GSM: 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.

Version: 1.3.2
Depends: gtools, methods, utils
Imports: graphics, grDevices, stats
Published: 2015-07-08
Author: Sergio Venturini
Maintainer: Sergio Venturini <sergio.venturini at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: Cluster, Distributions
CRAN checks: GSM results


Reference manual: GSM.pdf
Package source: GSM_1.3.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: GSM_1.3.2.tgz, r-oldrel: GSM_1.3.1.tgz
OS X Mavericks binaries: r-release: GSM_1.3.2.tgz
Old sources: GSM archive