dgof: Discrete Goodness-of-Fit Tests

A revision to the stats::ks.test() function and the associated ks.test.Rd help page. With one minor exception, it does not change the existing behavior of ks.test(), and it adds features necessary for doing one-sample tests with hypothesized discrete distributions. The package also contains cvm.test(), for doing one-sample Cramer-von Mises goodness-of-fit tests.

Version: 1.4
Published: 2022-06-16
DOI: 10.32614/CRAN.package.dgof
Author: Taylor B. Arnold, John W. Emerson, R Core Team and contributors worldwide
Maintainer: Taylor B. Arnold <taylor.b.arnold at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: yes
Citation: dgof citation info
Materials: README
CRAN checks: dgof results


Reference manual: dgof.pdf


Package source: dgof_1.4.tar.gz
Windows binaries: r-devel: dgof_1.4.zip, r-release: dgof_1.4.zip, r-oldrel: dgof_1.4.zip
macOS binaries: r-release (arm64): dgof_1.4.tgz, r-oldrel (arm64): dgof_1.4.tgz, r-release (x86_64): dgof_1.4.tgz, r-oldrel (x86_64): dgof_1.4.tgz
Old sources: dgof archive

Reverse dependencies:

Reverse imports: cpd, KSgeneral, nestfs, scShapes
Reverse suggests: discretefit, RVAideMemoire


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