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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