jackknifeBandwidthSelection

integer referring to the index of the missing value to be imputed.

numeric vector of candidate bandwidth values

bwGrid

numeric vector of predicted values for missing observations

preds

numeric vector of length <code>n</code> of observed and imputed values.

Binary vector of length <code>length(y)</code> indicating missingness.
<code>1</code> where <code>y</code> is observed and <code>0</code> where <code>y</code> is missing.

delta

one of <code>gaussian</code>, <code>uniform</code>, or <code>triangular</code>.
Specifies the kernel to be used in estimating the distribution around a missing value.

kernel

Jackknife method for selection bandwidth

Adds a Super Learner ensemble model method (using the 'SuperLearner' package)
to the 'mice' package. Laqueur, H. S., Shev, A. B., Kagawa, R. M. C. (2021) <doi:10.1093/aje/kwab271>.

jackknifeBandwidthSelection: Jackknife method for selection bandwidth

Description

Usage

Arguments

Value