gofIG

Goodness-of-Fit Tests for the Inverse Gaussian Distribution

CRAN Package

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


Insights

Last 30 days

This package has been downloaded 379 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.

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0 downloadsMar 2, 2025
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6 downloadsMar 6, 2025
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40 downloadsMar 8, 2025
2 downloadsMar 9, 2025
1 downloadsMar 10, 2025
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50 downloadsApr 1, 2025
8 downloadsApr 2, 2025
4 downloadsApr 3, 2025
4 downloadsApr 4, 2025
0 downloadsApr 5, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 2,436 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Apr 01, 2025 with 50 downloads.

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