Package: goftest 1.2-2

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.

Authors:Julian Faraway [aut], George Marsaglia [aut], John Marsaglia [aut], Adrian Baddeley [aut, cre]

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goftest.pdf |goftest.html✨
goftest/json (API)

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

Peer review:

Bug tracker:https://github.com/baddstats/goftest/issues

On CRAN:

7 exports 4 stars 7.79 score 0 dependencies 187 dependents 6 mentions 218 scripts 29.0k downloads

Last updated 5 years agofrom:ef942bf3ed. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 26 2024
R-4.5-win-x86_64OKAug 26 2024
R-4.5-linux-x86_64OKAug 26 2024
R-4.4-win-x86_64OKAug 26 2024
R-4.4-mac-x86_64OKAug 26 2024
R-4.4-mac-aarch64OKAug 26 2024
R-4.3-win-x86_64OKAug 26 2024
R-4.3-mac-x86_64OKAug 26 2024
R-4.3-mac-aarch64OKAug 26 2024

Exports:ad.testcvm.testpADpCvMqADqCvMrecogniseCdf

Dependencies: