as_imputation

This function creates the object that is returned from <code>impute()</code>. Essentially
it is a glorified wrapper around <code><a href="/link/list()?package=rbmi&version=1.4.1" data-mini-rdoc="rbmi::list()">list()</a></code> ensuring that the required elements have been
set and that the class is added as expected.

Implements standard and reference based multiple imputation methods for continuous
longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular,
this package supports deterministic conditional mean imputation and jackknifing as described
in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described
in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum
likelihood imputation as described in von Hippel and Bartlett (2021) <doi: 10.1214/20-STS793>.

Isaac Gravestock

rbmi

Reference Based Multiple Imputation

Craig Gower-Page

Alessandro Noci

Marcel Wolbers

Daniel Sabanes Bove

F. Hoffmann-La Roche AG 

as_imputation function

<dl><dt>imputations</dt>
<dd>A list of <code>imputations_list</code>'s as created by <code>imputation_df()</code></dd>
<dt>data</dt>
<dd>A <code>longdata</code> object as created by <code>longDataConstructor()</code></dd>
<dt>method</dt>
<dd>A <code>method</code> object as created by <code>method_condmean()</code>, <code>method_bayes()</code> or
<code>method_approxbayes()</code></dd>
<dt>references</dt>
<dd>A named vector. Identifies the references to be used when generating the
imputed values. Should be of the form <code>c("Group" = "Reference", "Group" = "Reference")</code>.</dd></dl>

Arguments

This function creates the object that is returned from <code>impute()</code>. Essentially
it is a glorified wrapper around <code><a href='https://rdrr.io/r/base/list.html'>list()</a></code> ensuring that the required elements have been
set and that the class is added as expected.

Create an imputation object — as_imputation

<dl>

<dt>imputations</dt>
<dd>A list of <code>imputations_list</code>'s as created by <code>imputation_df()</code></dd>


<dt>data</dt>
<dd>A <code>longdata</code> object as created by <code>longDataConstructor()</code></dd>


<dt>method</dt>
<dd>A <code>method</code> object as created by <code>method_condmean()</code>, <code>method_bayes()</code> or
<code>method_approxbayes()</code></dd>


<dt>references</dt>
<dd>A named vector. Identifies the references to be used when generating the
imputed values. Should be of the form <code>c("Group" = "Reference", "Group" = "Reference")</code>.</dd>

</dl>

as_imputation: Create an imputation object

Description

Usage

Arguments