Package: dgof 1.5.1

Taylor B. Arnold

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.

Authors:Taylor B. Arnold [aut, cre], John W. Emerson [aut], R Core Team and contributors worldwide [aut]

dgof_1.5.1.tar.gz
dgof_1.5.1.tar.gz(r-4.7-arm64)dgof_1.5.1.tar.gz(r-4.7-x86_64)dgof_1.5.1.tar.gz(r-4.6-arm64)dgof_1.5.1.tar.gz(r-4.6-x86_64)
dgof_1.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
dgof/json (API)

# Install 'dgof' in R:
install.packages('dgof', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4.48 score 1 stars 5 packages 163 scripts 1.2k downloads 2 mentions 2 exports 0 dependencies

Last updated from:7cb7fa1875. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK99
linux-devel-x86_64OK108
source / vignettesOK217
linux-release-arm64OK94
linux-release-x86_64OK95
wasm-releaseOK84

Exports:cvm.testks.test

Dependencies: