generalhoslem-package: Goodness of Fit Tests for Logistic Regression Models

In matthewjay15/generalhoslem-v1.1.0: Goodness of Fit Tests for Logistic Regression Models

Description

Functions to assess the goodness of fit of binary, multinomial and ordinal logistic models. Included are the Hosmer-Lemeshow tests (binary, multinomial and ordinal) and the Lipsitz and Pulkstenis-Robinson tests (ordinal).

Details

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Author(s)

Matthew Jay [aut, cre] Maintainer: Matthew Jay <[e-mail]>

References

• Fagerland MW, Hosmer DW, Bofin AM. Multinomial goodness-of-fit tests for logistic regression models. Statistics in Medicine 2008;27(21):4238-53.

• Fagerland MW, Hosmer DW. A goodness-of-fit test for the proportional odds regression model. Statistics in Medicine 2013;32:2235-2249.

• Fagerland MW, Hosmer DW. Tests for goodness of fit in ordinal logistic regression models. Journal of Statistical Computation and Simulation 2016. DOI: 10.1080/00949655.2016.1156682.

• Fagerland MW, Hosmer DW. How to test for goodness of fit in ordinal logistic regression models. The Stata Journal 2017;17(3):668-686.

• Hosmer DW, Lemeshow S, Sturdivant RX. Applied Logistic Regression, 3rd Edition. 2013. New York, USA: John Wiley and Sons.

• Lipsitz SR, Fitzmaurice GM, Molenberghs G. Goodness-of-Fit Tests for Ordinal Response Regression Models. Journal of the Royal Statistical Society 1996;45(2):175-190.

• Pulkstenis E, Robinson TJ. Goodness-of-fit tests for ordinal response regression models. Statistics in Medicine 2004;23:999-1014.

matthewjay15/generalhoslem-v1.1.0 documentation built on June 6, 2019, 11:25 a.m.