mira-class

mira

The <code>mira</code> object is generated by the <code>with.mids()</code> function. 
The <code>as.mira()</code>
function takes the results of repeated complete-data analysis stored as a
list, and turns it into a <code>mira</code> object that can be pooled. Pooling
requires that <code>coef()</code> and <code>vcov()</code> methods are available for
fitted object. The <code>mira</code> class of objects has methods for the
following generic functions: <code>print</code>, <code>summary</code>.

classes

Multiple imputation using Fully Conditional Specification (FCS)
implemented by the MICE algorithm as described in Van Buuren and
Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. Each variable has
its own imputation model. Built-in imputation models are provided for
continuous data (predictive mean matching, normal), binary data (logistic
regression), unordered categorical data (polytomous logistic regression)
and ordered categorical data (proportional odds). MICE can also impute
continuous two-level data (normal model, pan, second-level variables).
Passive imputation can be used to maintain consistency between variables.
Various diagnostic plots are available to inspect the quality of the
imputations.

Stef van Buuren

mice

Multivariate Imputation by Chained Equations

Karin Groothuis-Oudshoorn

Alexander Robitzsch

Gerko Vink

Lisa Doove

Shahab Jolani

Rianne Schouten

Philipp Gaffert

Florian Meinfelder

Bernie Gray

mira-class function

<dl class="dl-horizontal">
 #' <dt><code>.Data</code>:</dt><dd>Object of class <code>"list"</code> containing the 
 following slots:</dd>
 <dt><code>call</code>:</dt><dd>The call that created the object.</dd>
 <dt><code>call1</code>:</dt><dd>The call that created the <code>mids</code> object that was used
in <code>call</code>.</dd>
 <dt><code>nmis</code>:</dt><dd>An array containing the number of missing observations per
column.</dd>
 <dt><code>analyses</code>:</dt><dd>A list of <code>m</code> components containing the individual
fit objects from each of the <code>m</code> complete data analyses.</dd>
 </dl>

Slots

Multiply imputed repeated analyses (<code>mira</code>) — mira-class

Multiply imputed repeated analyses (<code>mira</code>)

mira-class: Multiply imputed repeated analyses (`mira`)

Description

Arguments

Slots

References

See Also