sample_list

Given a list of <code>sample_single</code> objects generate by <code>sample_single()</code>,
creates a <code>sample_list</code> objects and validate it.

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 

sample_list function

<dl><dt>...</dt>
<dd>A list of <code>sample_single</code> objects.</dd></dl>

Arguments

Create and validate a sample_list object — sample_list

<dl>

<dt>...</dt>
<dd>A list of <code>sample_single</code> objects.</dd>

</dl>

sample_list: Create and validate a `sample_list` object

Description

Usage

Arguments