jackknifeVariance

integer index for deleted observation in the jackknife procedure.

<code>(n-1)</code> by <code>m</code> matrix of kernel values centered at missing
observation <code>j</code> where <code>n</code> is the total number of observations and <code>m</code> is the
number of candidate bandwidths.

kernMatrix

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

delta

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

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>.

jackknifeVariance: Computes jackknife variance

Description

Usage

Arguments

Value