gofgamma: Goodness-of-Fit Tests for the Gamma Distribution

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) <doi:10.1080/03610926.2010.542851>. The recent procedures presented in Henze, Meintanis & Ebner (2012) <doi:10.1080/03610926.2010.542851> and Betsch & Ebner (2019) <doi:10.1007/s00184-019-00708-7> are implemented. Estimation of parameters of the gamma law are implemented using the method of Bhattacharya (2001) <doi:10.1080/00949650108812100>.

Version: 1.0
Depends: R (≥ 3.5.0)
Published: 2020-04-29
Author: Lucas Butsch [aut], Bruno Ebner [aut, cre], Steffen Betsch [aut]
Maintainer: Bruno Ebner <bruno.ebner at kit.edu>
License: CC BY 4.0
NeedsCompilation: no
CRAN checks: gofgamma results

Documentation:

Reference manual: gofgamma.pdf

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Package source: gofgamma_1.0.tar.gz
Windows binaries: r-devel: gofgamma_1.0.zip, r-release: gofgamma_1.0.zip, r-oldrel: gofgamma_1.0.zip
macOS binaries: r-release (arm64): gofgamma_1.0.tgz, r-release (x86_64): gofgamma_1.0.tgz, r-oldrel: gofgamma_1.0.tgz

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