Multiply imputed repeated analyses (
mira object is generated by the
function takes the results of repeated complete-data analysis stored as a
list, and turns it into a
mira object that can be pooled.
In versions prior to
mice 3.0 pooling required only that
vcov() methods were available for fitted
objects. This feature is no longer supported. The reason is that
methods are inconsistent across packages, leading to buggy behaviour
pool() function. Since
mice 3.0+, the
package takes care of filtering out the relevant parts of the
complete-data analysis. It may happen that you'll see the messages
No method for tidying an S3 object of class ... or
Error: No glance method for objects of class .... The royal
way to solve this problem is to write your own
methods and add these to
broom according to the specifications
given in https://broom.tidymodels.org.
mira class of objects has methods for the
following generic functions:
Many of the functions of the
mice package do not use the
S4 class definitions, and instead rely on the S3 list equivalent
oldClass(obj) <- "mira".
Object of class
"list"containing the following slots:
The call that created the object.
The call that created the
midsobject that was used in
An array containing the number of missing observations per column.
A list of
mcomponents containing the individual fit objects from each of the
mcomplete data analyses.
van Buuren S and Groothuis-Oudshoorn K (2011).
Multivariate Imputation by Chained Equations in
R. Journal of
Statistical Software, 45(3), 1-67.