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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling source/ R- | gofgamma_1.0.tar.gz |
7.8 KiB |
1.0 |
rolling linux/jammy R-4.5 | gofgamma_1.0.tar.gz |
67.0 KiB |
1.0 |
rolling linux/noble R-4.5 | gofgamma_1.0.tar.gz |
66.9 KiB |
1.0 |
latest source/ R- | gofgamma_1.0.tar.gz |
7.8 KiB |
1.0 |
latest linux/jammy R-4.5 | gofgamma_1.0.tar.gz |
67.0 KiB |
1.0 |
latest linux/noble R-4.5 | gofgamma_1.0.tar.gz |
66.9 KiB |
1.0 |
2026-04-23 source/ R- | gofgamma_1.0.tar.gz |
7.8 KiB |
1.0 |
2026-04-09 windows/windows R-4.5 | gofgamma_1.0.zip |
70.9 KiB |
1.0 |
2025-04-20 source/ R- | gofgamma_1.0.tar.gz |
7.8 KiB |