goftest: Classical Goodness-of-Fit Tests for Univariate Distributions

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 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


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