extract_imputed_df

Takes an imputation object as generated by <code>imputation_df()</code> and uses
this to extract a completed dataset from a <code>longdata</code> object as created
by <code>longDataConstructor()</code>. Also applies a delta transformation
if a <code>data.frame</code> is provided to the <code>delta</code> argument. See <code>analyse()</code> for
details on the structure of this <code>data.frame</code>.
Subject IDs in the returned <code>data.frame</code> are scrambled i.e. are not the original
values.

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 

extract_imputed_df function

<dl><dt>imputation</dt>
<dd>An imputation object as generated by <code>imputation_df()</code>.</dd>
<dt>ld</dt>
<dd>A <code>longdata</code> object as generated by <code>longDataConstructor()</code>.</dd>
<dt>delta</dt>
<dd>Either <code>NULL</code> or a <code>data.frame</code>. Is used to offset outcome values in the imputed dataset.</dd>
<dt>idmap</dt>
<dd>Logical. If <code>TRUE</code> an attribute called "idmap" is attached to
the return object which contains a <code>list</code> that maps the old subject ids
the new subject ids.</dd></dl>

Arguments

Extract imputed dataset — extract_imputed_df

<dl>

<dt>imputation</dt>
<dd>An imputation object as generated by <code>imputation_df()</code>.</dd>


<dt>ld</dt>
<dd>A <code>longdata</code> object as generated by <code>longDataConstructor()</code>.</dd>


<dt>delta</dt>
<dd>Either <code>NULL</code> or a <code>data.frame</code>. Is used to offset outcome values in the imputed dataset.</dd>


<dt>idmap</dt>
<dd>Logical. If <code>TRUE</code> an attribute called "idmap" is attached to
the return object which contains a <code>list</code> that maps the old subject ids
the new subject ids.</dd>

</dl>

extract_imputed_df: Extract imputed dataset

Description

Usage

Value

Arguments