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 |
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: | 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 |
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