imputation_list_single

A collection of <code>imputation_singles()</code> grouped by a single subjid ID

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>.

Craig Gower-Page

rbmi

Reference Based Multiple Imputation

Isaac Gravestock

Alessandro Noci

Marcel Wolbers

Daniel Sabanes Bove

F. Hoffmann-La Roche AG 

imputation_list_single function

<dl><dt>imputations</dt>
<dd>a list of <code>imputation_single()</code> objects ordered so that repetitions
are grouped sequentially</dd>
<dt>D</dt>
<dd>the number of repetitions that were performed which determines how many columns
the imputation matrix should have
This is a constructor function to create a <code>imputation_list_single</code> object
which contains a matrix of <code>imputation_single()</code> objects grouped by a single <code>id</code>. The matrix
is split so that it has D columns (i.e. for non-bmlmi methods this will always be 1)
The <code>id</code> attribute is determined by extracting the <code>id</code> attribute from the contributing
<code>imputation_single()</code> objects. An error is throw if multiple <code>id</code> are detected</dd></dl>

Arguments

A collection of imputation_singles() grouped by a single subjid ID — imputation_list_single

<dl>

<dt>imputations</dt>
<dd>a list of <code>imputation_single()</code> objects ordered so that repetitions
are grouped sequentially</dd>


<dt>D</dt>
<dd>the number of repetitions that were performed which determines how many columns
the imputation matrix should have
This is a constructor function to create a <code>imputation_list_single</code> object
which contains a matrix of <code>imputation_single()</code> objects grouped by a single <code>id</code>. The matrix
is split so that it has D columns (i.e. for non-bmlmi methods this will always be 1)
The <code>id</code> attribute is determined by extracting the <code>id</code> attribute from the contributing
<code>imputation_single()</code> objects. An error is throw if multiple <code>id</code> are detected</dd>

</dl>

imputation_list_single: A collection of `imputation_singles()` grouped by a single subjid ID

Description

Usage

Arguments