goftest: Classical Goodness-of-Fit Tests for Univariate Distributions (original) (raw)
Cramer-Von Mises and Anderson-Darling tests of goodness-of-fit for continuous univariate distributions, using efficient algorithms.
| Version: | 1.2-3 |
|---|---|
| Depends: | R (≥ 3.3) |
| Imports: | stats |
| Published: | 2021-10-07 |
| DOI: | 10.32614/CRAN.package.goftest |
| Author: | Julian Faraway [aut], George Marsaglia [aut], John Marsaglia [aut], Adrian Baddeley [aut, cre] |
| Maintainer: | Adrian Baddeley <Adrian.Baddeley at curtin.edu.au> |
| BugReports: | https://github.com/baddstats/goftest/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/baddstats/goftest |
| NeedsCompilation: | yes |
| CRAN checks: | goftest results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse imports: | AFR, agfh, BRVM, CBEA, EstimDiagnostics, ETAS, fitur, fmx, lmomco, olsrr, PRSim, spatstat.explore, spatstat.model, ssdtools, sure |
|---|---|
| Reverse suggests: | fGarch, PAsso, SGB, spatstat.linnet, sphunif, teal.modules.general |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=goftestto link to this page.