jackknifeBandwidthSelection: Jackknife method for selection bandwidth

In abshev/superMICE: SuperLearner Method for MICE

Jackknife method for selection bandwidth

Description

Jackknife method for selection bandwidth

Usage

jackknifeBandwidthSelection(i, bwGrid, preds, y, delta, kernel)

Arguments

i	integer referring to the index of the missing value to be imputed.
bwGrid	numeric vector of candidate bandwidth values
preds	numeric vector of predicted values for missing observations
y	numeric vector of length n of observed and imputed values.
delta	Binary vector of length length(y) indicating missingness. 1 where y is observed and 0 where y is missing.
kernel	one of gaussian, uniform, or triangular. Specifies the kernel to be used in estimating the distribution around a missing value.

Value

bandwidth

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