(This article was first published on SAS and R, and kindly contributed to R-bloggers)
The Hosmer and Lemeshow goodness of fit (GOF) test is a way to assess whether there is evidence for lack of fit in a logistic regression model. Simply put, the test compares the expected and observed number of events in bins defined by the predicted probability of the outcome. This can be calculated in R and SAS.RIn R, we write a simple function to calculate the statistic and a p-value, based To leave a comment for the author, please follow the link and comment on his blog: SAS and R.
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Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
