ebrahim.gof
Ebrahim-Farrington Goodness-of-Fit Test for Logistic Regression
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling source/ R- | ebrahim.gof_1.0.0.tar.gz |
283.5 KiB |
1.0.0 |
latest source/ R- | ebrahim.gof_1.0.0.tar.gz |
283.5 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | ebrahim.gof_1.0.0.zip |
38.9 KiB |