Package: gofgamma 1.0

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>.

Authors:Lucas Butsch [aut], Bruno Ebner [aut, cre], Steffen Betsch [aut]

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gofgamma/json (API)

# Install 'gofgamma' in R:
install.packages('gofgamma', repos = c('https://ebner-kit.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

16 exports 0.00 score 0 dependencies 162 downloads

Last updated 4 years agofrom:0f476aa1bf. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 30 2024
R-4.5-winOKAug 30 2024
R-4.5-linuxOKAug 30 2024
R-4.4-winOKAug 30 2024
R-4.4-macOKAug 30 2024
R-4.3-winOKAug 30 2024
R-4.3-macOKAug 30 2024

Exports:ADBECMcrit.valuesgamma_estHME1HME2KStest.ADtest.BEtest.CMtest.HME1test.HME2test.KStest.WAWA

Dependencies: