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gofIG  

Goodness-of-Fit Tests for the Inverse Gaussian Distribution
View on CRAN: Click here


Download and install gofIG package within the R console
Install from CRAN:
install.packages("gofIG")

Install from Github:
library("remotes")
install_github("cran/gofIG")

Install by package version:
library("remotes")
install_version("gofIG", "1.0")



Attach the package and use:
library("gofIG")
Maintained by
Bruno Ebner
[Scholar Profile | Author Map]
First Published: 2024-11-01
Latest Update: 2024-11-01
Description:
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.
How to cite:
Bruno Ebner (2024). gofIG: Goodness-of-Fit Tests for the Inverse Gaussian Distribution. R package version 1.0, https://cran.r-project.org/web/packages/gofIG. Accessed 24 Feb. 2025.
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