recursive_reduce

Utility function used to replicated purrr::reduce. Recursively applies a
function to a list of elements until only 1 element remains

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 

recursive_reduce function

<dl><dt>.l</dt>
<dd>list of values to apply a function to</dd>
<dt>.f</dt>
<dd>function to apply to each each element of the list in turn
i.e. <code>.l[[1]] &lt;- .f( .l[[1]] , .l[[2]]) ; .l[[1]] &lt;- .f( .l[[1]] , .l[[3]])</code></dd></dl>

Arguments

recursive_reduce — recursive_reduce

<dl>

<dt>.l</dt>
<dd>list of values to apply a function to</dd>


<dt>.f</dt>
<dd>function to apply to each each element of the list in turn
i.e. <code>.l[[1]] &lt;- .f( .l[[1]] , .l[[2]]) ; .l[[1]] &lt;- .f( .l[[1]] , .l[[3]])</code></dd>

</dl>

recursive_reduce: recursive_reduce

Description

Usage

Arguments