sergioventurini/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.

Getting started

Package details

AuthorSergio Venturini
MaintainerSergio Venturini <sergio.venturini@unibocconi.it>
LicenseGPL (>= 2) | file LICENSE
Version1.3.3
URL http://projecteuclid.org/euclid.aoas/1215118537
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("sergioventurini/GSM")
sergioventurini/GSM documentation built on June 8, 2019, 2:44 a.m.