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ebrahim.gof  

Ebrahim-Farrington Goodness-of-Fit Test for Logistic Regression
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Download and install ebrahim.gof package within the R console
Install from CRAN:
install.packages("ebrahim.gof")

Install from Github:
library("remotes")
install_github("cran/ebrahim.gof")

Install by package version:
library("remotes")
install_version("ebrahim.gof", "1.0.0")



Attach the package and use:
library("ebrahim.gof")
Maintained by
Ebrahim Khaled Ebrahim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-01
Latest Update: 2025-09-01
Description:
Implements the Ebrahim-Farrington goodness-of-fit test for logistic regression models, particularly effective for sparse data and binary outcomes. This test provides an improved alternative to the traditional Hosmer-Lemeshow test by using a modified Pearson chi-square statistic with data-dependent grouping. The test is based on Farrington (1996) theoretical framework but simplified for practical implementation with binary data. Includes functions for both the original Farrington test (for grouped data) and the new Ebrahim-Farrington test (for binary data with automatic grouping). For more details see Hosmer (1980) <doi:10.1080/03610928008827941> and Farrington (1996) <doi:10.1111/j.2517-6161.1996.tb02086.x>.
How to cite:
Ebrahim Khaled Ebrahim (2025). ebrahim.gof: Ebrahim-Farrington Goodness-of-Fit Test for Logistic Regression. R package version 1.0.0, https://cran.r-project.org/web/packages/ebrahim.gof. Accessed 09 Mar. 2026.
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