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