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.
| Version: |
1.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
pracma, rmutil |
| Published: |
2024-11-01 |
| DOI: |
10.32614/CRAN.package.gofIG |
| Author: |
Bruno Ebner [aut, cre],
Jaco Visagie [aut],
Steffen Betsch [aut],
James Allison [aut],
Lucas Iglesias [ctb] |
| Maintainer: |
Bruno Ebner <bruno.ebner at kit.edu> |
| License: |
CC BY 4.0 |
| NeedsCompilation: |
no |
| CRAN checks: |
gofIG results |
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