SuperLearner Method for MICE
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘superMICE’ version 1.1.1
Help Pages
| binarySuperLearner | Function to generate imputations using SuperLearner for data with a binary outcome. |
| continuousSuperLearner | Function to generate imputations using SuperLearner for data with a continuous outcome |
| gaussianKernel | Kernel functions used for local imputation |
| jackknifeBandwidthSelection | Jackknife method for selection bandwidth |
| jackknifeVariance | Computes jackknife variance |
| localImputation | Function to generate imputations using non-parametric and semi-parametric local imputation methods. |
| mice.impute.SuperLearner | SuperLearner method for 'mice' package. |