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GSM  

Gamma Shape Mixture
View on CRAN: Click here


Download and install GSM package within the R console
Install from CRAN:
install.packages("GSM")

Install from Github:
library("remotes")
install_github("cran/GSM")

Install by package version:
library("remotes")
install_version("GSM", "1.3.2")



Attach the package and use:
library("GSM")
Maintained by
Sergio Venturini
[Scholar Profile | Author Map]
First Published: 2007-08-09
Latest Update: 2015-07-08
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.
How to cite:
Sergio Venturini (2007). GSM: Gamma Shape Mixture. R package version 1.3.2, https://cran.r-project.org/web/packages/GSM. Accessed 20 Feb. 2025.
Previous versions and publish date:
0.1-1 (2007-08-09 15:00), 0.1-2 (2007-08-09 18:48), 1.0 (2010-05-19 17:53), 1.1 (2010-05-22 10:55), 1.2 (2010-06-16 18:15), 1.3.1 (2014-02-24 16:17), 1.3 (2012-03-07 14:40)
Other packages that cited GSM R package
View GSM citation profile
Other R packages that GSM depends, imports, suggests or enhances
Complete documentation for GSM
Functions, R codes and Examples using the GSM R package
Some associated functions: GSM-package . GSMDist . allcurves.q . estim.gsm . estim.gsm_theta . gsm-class . plot-methods . predict-methods . summary-methods . 
Some associated R codes: AllClasses.R . GSM.R .  Full GSM package functions and examples
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