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.
- Version1.0
- R versionunknown
- LicenseCC BY 4.0
- Needs compilation?No
- Last release11/01/2024
Team
Bruno Ebner
Jaco Visagie
Show author detailsRolesAuthorSteffen Betsch
Show author detailsRolesAuthorJames Allison
Show author detailsRolesAuthorLucas Iglesias
Show author detailsRolesContributor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages