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: 1.2-2
Depends: R (≥ 3.3)
Imports: stats
Published: 2019-12-02
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_1.2-2.tar.gz
Windows binaries: r-devel: goftest_1.2-2.zip, r-release: goftest_1.2-2.zip, r-oldrel: goftest_1.2-2.zip
macOS binaries: r-release: goftest_1.2-2.tgz, r-oldrel: goftest_1.2-2.tgz
Old sources: goftest archive

Reverse dependencies:

Reverse depends: PRSim
Reverse imports: ETAS, extremeIndex, fitur, lmomco, olsrr, PAsso, scoringutils, spatstat, sure, WLinfer
Reverse suggests: SGB


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