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gofgamma  

Goodness-of-Fit Tests for the Gamma Distribution
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("gofgamma", "1.0")



Attach the package and use:
library("gofgamma")
Maintained by
Bruno Ebner
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-29
Latest Update: 2020-04-29
Description:
We implement various classical tests for the composite hypothesis of testing the fit to the family of gamma distributions as the Kolmogorov-Smirnov test, the Cramer-von Mises test, the Anderson Darling test and the Watson test. For each test a parametric bootstrap procedure is implemented, as considered in Henze, Meintanis & Ebner (2012) . The recent procedures presented in Henze, Meintanis & Ebner (2012) and Betsch & Ebner (2019) are implemented. Estimation of parameters of the gamma law are implemented using the method of Bhattacharya (2001) .
How to cite:
Bruno Ebner (2020). gofgamma: Goodness-of-Fit Tests for the Gamma Distribution. R package version 1.0, https://cran.r-project.org/web/packages/gofgamma. Accessed 21 Nov. 2024.
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Complete documentation for gofgamma
Functions, R codes and Examples using the gofgamma R package
Some associated functions: AD . BE . CM . HME1 . HME2 . KS . WA . crit.values . gamma_est . print.gofgamma . test.AD . test.BE . test.CM . test.HME1 . test.HME2 . test.KS . test.WA . 
Some associated R codes: estimation.R . gammaTest.R . helpfunctions.R . resampling.R . teststatistics.R .  Full gofgamma package functions and examples
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