On Jun 24, 2013, at 12:00 PM, Sander van Kuijk wrote:
> Dear R-users,
>
> I have used the nomogram function from the rms package for a logistic
> regresison model made with lrm(). Everything works perfectly (r version
> 2.15.1 on a mac). My question is this: if my final model is not the one
> cr
You are using an informal shrinkage method. It is much better to use
penalized maximum likelihood estimation, built in to lrm.
If you really want to go the informal route, compute the linear
predictor from your final estimates and use ols( ) to predict that from
the component variables (you'l
Dear R-users,
I have used the nomogram function from the rms package for a logistic
regresison model made with lrm(). Everything works perfectly (r version
2.15.1 on a mac). My question is this: if my final model is not the one
created by lrm, but I internally validated the model and 'shrunk' the
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