Package: dgof 1.4

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, John W. Emerson, R Core Team and contributors worldwide

dgof_1.4.tar.gz
dgof_1.4.tar.gz(r-4.5-noble)dgof_1.4.tar.gz(r-4.4-noble)
dgof_1.4.tgz(r-4.4-emscripten)dgof_1.4.tgz(r-4.3-emscripten)
dgof.pdf |dgof.html
dgof/json (API)

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

Peer review:

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

2 exports 1 stars 1.69 score 0 dependencies 4 dependents 2 mentions 81 scripts 1.3k downloads

Last updated 2 years agofrom:9b6eb1e700. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-linux-x86_64OKAug 21 2024

Exports:cvm.testks.test

Dependencies: