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 |
| 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 |
| Reference manual: | goftest.pdf |
| Package source: | goftest_1.2-3.tar.gz |
| Windows binaries: | r-devel: goftest_1.2-3.zip, r-release: goftest_1.2-3.zip, r-oldrel: goftest_1.2-3.zip |
| macOS binaries: | r-release (arm64): goftest_1.2-3.tgz, r-oldrel (arm64): goftest_1.2-3.tgz, r-release (x86_64): goftest_1.2-3.tgz, r-oldrel (x86_64): goftest_1.2-3.tgz |
| Old sources: | goftest archive |
| Reverse imports: | CBEA, EstimDiagnostics, ETAS, fitur, lmomco, olsrr, QuantileGH, spatstat.core, ssdtools, sure, WLinfer |
| Reverse suggests: | PAsso, SGB, spatstat.linnet, sphunif |
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