Package: gofgamma
Type: Package
Title: Goodness-of-Fit Tests for the Gamma Distribution
Version: 1.0
Authors@R: c(person("Lucas", "Butsch", email="lucas.butsch@gmail.com", role=c("aut")), person("Bruno", "Ebner", email="bruno.ebner@kit.edu", role = c("aut", "cre")), person("Steffen", "Betsch", email="steffen.betsch@kit.edu", role=c("aut")))
Maintainer: Bruno Ebner <bruno.ebner@kit.edu>
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) <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>. 
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2020-04-24 17:12:44 UTC; ebner
Author: Lucas Butsch [aut],
  Bruno Ebner [aut, cre],
  Steffen Betsch [aut]
Repository: CRAN
Date/Publication: 2020-04-29 14:40:05 UTC
Built: R 4.6.0; ; 2026-04-25 19:19:33 UTC; unix
