ibind {mice}R Documentation

Combine imputations fitted to the same data

Description

Combine imputations fitted to the same data

Usage

    ibind(x, y)

Arguments

x A mids object.
y A mids object.

Details

This function combines two mids objects x and y into a single mids object. The two mids objects should have the same underlying multiple imputation model and should be fitted on exactly the same dataset. If the number of imputations in x is m(x) and in y is m(y) then the combination of both objects contains m(x)+m(y) imputations.

Value

call A vector, with first argument the mice statement that created x and second argument the call to ibind().
data The incomplete data in x and y.
m Defined as x$m+y$m, the total number of imputations from x and y.
nmis Defined as x$nmis, an array containing the number of missing observations per column of x$data.
imp A combination of x$imp and y$imp.
method Defined as x$method.
predictorMatrix Defined as x$predictorMatrix.
visitSequence x$visitSequence
seed Defined as x$seed.
iteration Last Gibbs sampling iteration number, x$iteration.
lastSeedValue Defined as x$lastSeedValue.
chainMean Combination of x$chainMean and y$chainMean.
chainVar Combination of x$chainVar and y$chainVar.
pad Defined as x$pad (which should equal y$pad).

Author(s)

Karin Groothuis-Oudshoorn, Stef van Buuren, 2009

See Also

rbind.mids, cbind.mids, mids


[Package mice version 2.2 Index]