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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 |
| Reference manual: | gofgamma.pdf |
| 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-oldrel (arm64): gofgamma_1.0.tgz, r-release (x86_64): gofgamma_1.0.tgz, r-oldrel (x86_64): gofgamma_1.0.tgz |
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