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GSM
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]
[Scholar Profile | Author Map]
All associated links for this package
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
Previous versions and publish date:
Other packages that cited GSM R package
View GSM citation profile
Other R packages that GSM depends,
imports, suggests or enhances
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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