Provides a Hosmer-Lemeshow statistic and table following logistic regression.
hlGOF.test(observed, predicted, breaks = 15)
breaks or groups
The function has three arguments: observed term, predicted values, # groups
hlGOF.test is a post-estimation function for logistic regression, following the use of glm(). Usage displays a table of observed vs predicted groups and an overall H-L goodness-of-fit statistic. The test is originally from Hilbe (2009).
hlGOF.test must be loaded into memory in order to be effectve. As a function in LOGIT, it is immediately available to a user. My thanks to Prof. Robert LaBudde for the initial version of this function.
Joseph M. Hilbe, Arizona State University, Robert LaBudde, Institute for Statisical Education (Statistics.com), provided initial code for this function for Hilbe, Logistic Regression Models, text.
Hilbe, J. M. (2015), Practical Guide to Logistic Regression, Chapman & Hall/CRC.
Hilbe, J. M. (2009), Logistic Regression Models, Chapman & Hall/CRC.
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