EDFtest: Goodness of Fit Based on Empirical Distribution Function (original) (raw)
This repository contains software for the calculation of goodness-of-fit test statistics and their P-values. The three statistics computed are the Empirical Distribution function statistics called Cramer-von Mises, Anderson-Darling, and Watson statistics. The statistics and their P-values can be used to assess an assumed distribution.The following distributions are available: Uniform, Normal, Gamma, Logistic, Laplace, Weibull, Extreme Value, and Exponential.
| Version: | 0.1.0 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Imports: | CompQuadForm (≥ 1.4.3), rmutil (≥ 1.1.5), stats |
| Suggests: | knitr, rmarkdown, stringi, testthat (≥ 3.0.0) |
| Published: | 2021-10-25 |
| DOI: | 10.32614/CRAN.package.EDFtest |
| Author: | Li Yao [aut, cre], Richard Lockhart [aut] |
| Maintainer: | Li Yao |
| BugReports: | https://github.com/LiYao-sfu/EDFtest/issues |
| License: | MIT + file |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | EDFtest results |
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