| ibind {mice} | R Documentation |
Combine imputations fitted to the same data
ibind(x, y)
x |
A mids object. |
y |
A mids object. |
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.
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). |
Karin Groothuis-Oudshoorn, Stef van Buuren, 2009