Package: gofIG 1.0

gofIG: Goodness-of-Fit Tests for the Inverse Gaussian Distribution

We implement various tests for the composite hypothesis of testing the fit to the family of inverse Gaussian distributions. Included are methods presented by Allison, J.S., Betsch, S., Ebner, B., and Visagie, I.J.H. (2022) <doi:10.48550/arXiv.1910.14119>, as well as two tests from Henze and Klar (2002) <doi:10.1023/A:1022442506681>. Additionally, the package implements a test proposed by Baringhaus and Gaigall (2015) <doi:10.1016/j.jmva.2015.05.013>. For each test a parametric bootstrap procedure is implemented.

Authors:Bruno Ebner [aut, cre], Jaco Visagie [aut], Steffen Betsch [aut], James Allison [aut], Lucas Iglesias [ctb]

gofIG_1.0.tar.gz
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gofIG_1.0.tgz(r-4.4-any)gofIG_1.0.tgz(r-4.3-any)
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gofIG_1.0.tgz(r-4.4-emscripten)gofIG_1.0.tgz(r-4.3-emscripten)
gofIG.pdf |gofIG.html
gofIG/json (API)

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

Peer review:

On CRAN:

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

1.00 score 16 exports 2 dependencies

Last updated 22 days agofrom:e52c346f5a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-winOKNov 02 2024
R-4.5-linuxOKNov 02 2024
R-4.4-winOKNov 02 2024
R-4.4-macOKNov 02 2024
R-4.3-winOKNov 02 2024
R-4.3-macOKNov 02 2024

Exports:ABEV1ABEV2ADBGCMHK1HK2KStest.ABEV1test.ABEV2test.ADtest.BGtest.CMtest.HK1test.HK2test.KS

Dependencies:pracmarmutil