Due to some drawbacks of the Hosmer-Lemeshow (H-L) goodness-of-fit test, what other alternative method to the H-L would you say does a better job in calibration of prediction models? Perhaps using calibration plots?
Maybe Chi-squared goodness of fit test?
Here is a link that might be helpful
http://ww2.coastal.edu/kingw/statistics/R-tutorials/goodness.html
Thanks Yuanhang.
For example:
ks.test(data,"pnorm",mu.hat,sigma.hat)
#Initialize value seg.name
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