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GSM (version 1.3.2)

Gamma Shape Mixture

Description

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.

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Version

Install

install.packages('GSM')

Monthly Downloads

178

Version

1.3.2

License

GPL (>= 2)

Maintainer

Sergio Venturini

Last Published

July 7th, 2015

Functions in GSM (1.3.2)

allcurves.q

Utility Function
plot-methods

Plot of a Gamma Shape Mixture Model
estim.gsm

Estimation of a Gamma Shape Mixture Model (GSM) with collapsing
GSM-package

Estimation of a Gamma Shape Mixture Model
predict-methods

Tail Probability Estimation for a Gamma Shape Mixture Model
GSMDist

Utility Function
summary-methods

Summarizing Gamma Shape Mixtures
estim.gsm_theta

Estimation of a Gamma Shape Mixture Model (GSM)