binarySuperLearner: Function to generate imputations using SuperLearner for data...

In abshev/superMICE: SuperLearner Method for MICE

Function to generate imputations using SuperLearner for data with a binary outcome.

Description

Function to generate imputations using SuperLearner for data with a binary outcome.

Usage

binarySuperLearner(y, x, wy, SL.library, ...)

Arguments

y	Vector of observed values of the variable to be imputed.
x	Numeric matrix of variables to be used as predictors in SuperLearner methods with rows corresponding to values in Y.
wy	Logical vector of length length(y). A TRUE value indicates locations in y for which imputations are created.
SL.library	Either a character vector of prediction algorithms or a list containing character vectors. A list of functions included in the SuperLearner package can be found with SuperLearner::listWrappers().
...	Further arguments passed to SuperLearner.

Value

Binary Vector of randomly drawn imputed values.

abshev/superMICE documentation built on May 10, 2022, 11:27 a.m.