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
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

Documentation:

Reference manual:

dgof.pdf

Downloads:

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, QuantileGH, RVAideMemoire, sphunif

Linking:

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