jackknifeVariance {superMICE}

Computes jackknife variance

Description

Computes jackknife variance

Usage

jackknifeVariance(j, kernMatrix, delta, y)

Arguments

j

integer index for deleted observation in the jackknife procedure.

kernMatrix

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

delta

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

y

numeric vector of length n of observed values and imputed values.

Value

returns a single numeric value for the estimate of the jackknife variance.