jackknifeVariance: Computes jackknife variance
In abshev/superMICE: SuperLearner Method for MICE
View source: R/jackknife_variance.R
jackknifeVariance R Documentation
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.
abshev/superMICE documentation built on May 10, 2022, 11:27 a.m.
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View source: R/jackknife_variance.R
| jackknifeVariance | R Documentation |
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 |
|
delta |
Binary vector of length |
y |
numeric vector of length |
Value
returns a single numeric value for the estimate of the jackknife variance.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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