transpose_samples

Transposes samples generated by <code>draws()</code> so that they are grouped
by <code>subjid</code> instead of by sample number.

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 

transpose_samples function

<dl><dt>samples</dt>
<dd>A list of samples generated by <code>draws()</code>.</dd></dl>

Arguments

Transpose samples — transpose_samples

<dl>

<dt>samples</dt>
<dd>A list of samples generated by <code>draws()</code>.</dd>

</dl>

transpose_samples: Transpose samples

Description

Usage

Arguments