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 |
| DOI: |
10.32614/CRAN.package.gofgamma |
| 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 |
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