summary.mira

summary.mids

summary.mads

summary.mice.anova

Summary of a <code>mira</code> object
Summary of a <code>mids</code> object
Summary of a <code>mads</code> object
Print a <code>mice.anova</code> object

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

Gerko Vink

Rianne Schouten

Alexander Robitzsch

Patrick Rockenschaub

Lisa Doove

Shahab Jolani

Margarita Moreno-Betancur

Ian White

Philipp Gaffert

Florian Meinfelder

Bernie Gray

Vincent Arel-Bundock

Mingyang Cai

Thom Volker

Edoardo Costantini

Caspar van Lissa

Hanne Oberman

summary.mira function

<dl><dt>object</dt>
<dd>A <code>mira</code> object</dd>
<dt>type</dt>
<dd>A length-1 character vector indicating the
type of summary. There are three choices: <code>type = "tidy"</code>
return the parameters estimates of each analyses as a data frame.
<code>type = "glance"</code> return the fit statistics of each analysis
as a data frame. <code>type = "summary"</code> returns a list of
length <code>m</code> with the analysis results. The default is
<code>"tidy"</code>.</dd>
<dt>...</dt>
<dd>Other parameters passed down to <code><a href="/link/print()?package=mice&version=3.15.0" data-mini-rdoc="mice::print()">print()</a></code> and <code><a href="/link/summary()?package=mice&version=3.15.0" data-mini-rdoc="mice::summary()">summary()</a></code></dd></dl>

Arguments

Summary of a mira object — summary.mira

<dl>

<dt>object</dt>
<dd>A <code>mira</code> object</dd>


<dt>type</dt>
<dd>A length-1 character vector indicating the
type of summary. There are three choices: <code>type = "tidy"</code>
return the parameters estimates of each analyses as a data frame.
<code>type = "glance"</code> return the fit statistics of each analysis
as a data frame. <code>type = "summary"</code> returns a list of
length <code>m</code> with the analysis results. The default is
<code>"tidy"</code>.</dd>


<dt>...</dt>
<dd>Other parameters passed down to <code><a href='https://rdrr.io/r/base/print.html'>print()</a></code> and <code><a href='https://rdrr.io/r/base/summary.html'>summary()</a></code></dd>

</dl>

Summary of a <code>mira</code> object

summary.mira: Summary of a `mira` object

Description

Usage

Value

Arguments

See Also