|
|
This post has NOT been accepted by the mailing list yet.
Dear R users
I have been using the mice package to perform the multiple imputations. So
far, everything works fine with the standard regressions analysis.
However, I am wondering, if it is theoretically correct to perform
nonparametric models (GAM, spline smoothing etc.) with multiple imputed
datasets. If yes, how can I combine the results in order to show the
uncertainty?
Thank you
Youssef Oulhote
Université de Montreal
|