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 2.11 Index]