mids {mice} | R Documentation |
An object containing a multiply imputed data set. The
"mids" object is generated by the mice and mice.mids functions. The
"mids" class of objects has methods for the following generic
functions: print
, summary
, plot
## S3 method for class 'mids': print(x, ...) ## S3 method for class 'mids': summary(object, ...) ## S3 method for class 'mids': plot(x, y, ...)
x |
A mids object. |
object |
A mids object. |
y |
Not used. |
... |
Not used. |
call |
The call that created the object. |
data |
A copy of the incomplete data set. |
m |
The number of imputations. |
nmis |
An array containing the number of missing observations per column. |
imp |
A list of nvar components with the generated multiple imputations.
Each part of the list is a nmis[j] by m matrix of imputed values for
variable j. |
imputationMethod |
A vector of strings of length(nvar) specifying the elementary imputation method per column. |
predictorMatrix |
A square matrix of size ncol(data) containing 0/1 data specifying
the predictor set. |
visitSequence |
The sequence in which columns are visited. |
seed |
The seed value of the solution. |
iteration |
Last Gibbs sampling iteration number. |
lastSeedValue |
The most recent seed value. |
chainMean |
A list of m components. Each component is a length(visitSequence)
by maxit matrix containing the mean of the generated multiple
imputations. The array can be used for monitoring convergence.
Note that observed data are not present in this mean. |
chainCov |
A list with similar structure of itermean, containing the covariances of the imputed values. |
pad |
A list containing various settings of the padded imputation model, i.e. the imputation model after creating dummy variables. Normally, this array is only useful for error checking. |
Stef van Buuren, Karin Oudshoorn, 2000
Van Buuren, S. & Oudshoorn, C.G.M. (2000). Multivariate Imputation by Chained Equations: MICE V1.0 User's manual. Report PG/VGZ/00.038, TNO Prevention and Health, Leiden.