Evaluating goodness-of-fit for a logistic regression model using the Hosmer-Lemeshow test is not reliable in large datasets.
Which method would then best work. What alternatives.
Also, while many user defined apps for calibration plots, wonder how to manually write a calibration plot (predicted vs observed frequencies)
Regards