The mira() functions constructs an S3 object representing a set of
multiply imputed repeated analyses (mira). The default workflow generates
the mira
object using the with()
function.
mira(
call = match.call(),
call1 = match.call(),
nmis = integer(),
analyses = list()
)
An object of class "mira"
. The mira
class contains
the following elements:
.Data
:Object of class "list"
containing the
following slots:
call
:The call that created the object.
call1
:The call that created the mids
object that was used
in call
.
nmis
:An array containing the number of missing observations per column.
analyses
:A list of m
components containing the individual
fit objects from each of the m
complete data analyses.
The function call that created the object.
A secondary function call, typically from the first imputation.
An integer vector representing the number of missing values.
A list of analyses performed on the imputed datasets.
Stef van Buuren, Karin Groothuis-Oudshoorn, 2000
The as.mira()
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
coef()
and vcov()
methods were available for fitted
objects. This feature is no longer supported. The reason is that vcov()
methods are inconsistent across packages, leading to buggy behaviour
of the pool()
function. Since mice 3.0+
, the broom
package takes care of filtering out the relevant parts of the
complete-data analysis. It may happen that you'll see the messages
like 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 glance()
and tidy()
methods and add these to broom
according to the specifications
given in https://broom.tidymodels.org.
The mira
class of objects has methods for the
following generic functions: print
, summary
.
van Buuren S and Groothuis-Oudshoorn K (2011). mice
:
Multivariate Imputation by Chained Equations in R
. Journal of
Statistical Software, 45(3), 1-67.
tools:::Rd_expr_doi("10.18637/jss.v045.i03")
with.mids
, mids
, mipo