gofgamma

Goodness-of-Fit Tests for the Gamma Distribution

CRAN Package

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.

  • Version1.0
  • R versionunknown
  • LicenseCC BY 4.0
  • Needs compilation?No
  • Last release04/29/2020

Team


Insights

Last 30 days

This package has been downloaded 147 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 13 times.

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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 1,865 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 23, 2024 with 36 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


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