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
gofIG_1.0.zip(r-4.7-any)gofIG_1.0.zip(r-4.6-any)gofIG_1.0.zip(r-4.5-any)
gofIG_1.0.tgz(r-4.6-any)gofIG_1.0.tgz(r-4.5-any)
gofIG_1.0.tar.gz(r-4.7-any)gofIG_1.0.tar.gz(r-4.6-any)
gofIG_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
gofIG/json (API)

# Install 'gofIG' in R:
install.packages('gofIG', repos = c('https://ebner-kit.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.

1.00 score 362 downloads 16 exports 2 dependencies

Last updated from:e52c346f5a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK95
source / vignettesOK196
linux-releaseOK84
macos-releaseOK79
macos-oldrelOK80
windows-develOK60
windows-releaseOK62
windows-oldrelOK55
wasm-releaseOK69

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

Dependencies:pracmarmutil