Hello R helpers! I'm using the avas function form package acepack (called from areg.boot package Hmisc) to estimate automatically transformations of predictors (in this case monotonous) and response.
Well, it seems to work quite well, but I have 3 basic questions: - which set of basis functions is used in this procedure? - how do I back transform my estimate (y hat ) to the originasl scale?
Please read docs for areg.boot. predict.areg.boot does this already, using reverse linear interpolation.
- is there a closed analytical description of the model used? If so, how do I get it?
No
Frank
Thanks a lot Anne
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Anne Piotet
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Frank E Harrell Jr Professor and Chair School of Medicine
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