rbmi

rbmi-package

The <code>rbmi</code> package is used to perform reference based multiple imputation. The package
provides implementations for common, patient-specific imputation strategies whilst allowing the user to
select between various standard Bayesian and frequentist approaches.
The package is designed around 4 core functions:<ul>
<li><code>draws()</code> - Fits multiple imputation models</li>
<li><code>impute()</code> - Imputes multiple datasets</li>
<li><code>analyse()</code> - Analyses multiple datasets</li>
<li><code>pool()</code> - Pools multiple results into a single statistic</li>
</ul>To learn more about <code>rbmi</code>, please see the quickstart vignette:
<code><a href="https://insightsengineering.github.io/rbmi/articles/quickstart.html">vignette(topic= "quickstart", package = "rbmi")</a></code>

internal

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

Reference Based Multiple Imputation

Alessandro Noci

Marcel Wolbers

Isaac Gravestock

F. Hoffmann-La Roche AG 

rbmi-package function

Maintainer: Craig Gower-Page <a href="/link/craig.gower-page%40roche.com?package=rbmi&version=1.3.1" data-mini-rdoc="rbmi::craig.gower-page@roche.com">craig.gower-page@roche.com</a>
Authors:<ul>
<li>Alessandro Noci <a href="/link/alessandro.noci%40roche.com?package=rbmi&version=1.3.1" data-mini-rdoc="rbmi::alessandro.noci@roche.com">alessandro.noci@roche.com</a></li>
<li>Isaac Gravestock <a href="/link/isaac.gravestock%40roche.com?package=rbmi&version=1.3.1" data-mini-rdoc="rbmi::isaac.gravestock@roche.com">isaac.gravestock@roche.com</a></li>
</ul>Other contributors:<ul>
<li>Marcel Wolbers <a href="/link/marcel.wolbers%40roche.com?package=rbmi&version=1.3.1" data-mini-rdoc="rbmi::marcel.wolbers@roche.com">marcel.wolbers@roche.com</a> [contributor]</li>
<li>F. Hoffmann-La Roche AG [copyright holder, funder]</li>
</ul>

Author

The <code>rbmi</code> package is used to perform reference based multiple imputation. The package
provides implementations for common, patient-specific imputation strategies whilst allowing the user to
select between various standard Bayesian and frequentist approaches.
The package is designed around 4 core functions:<ul>
<li><code>draws()</code> - Fits multiple imputation models</li>
<li><code>impute()</code> - Imputes multiple datasets</li>
<li><code>analyse()</code> - Analyses multiple datasets</li>
<li><code>pool()</code> - Pools multiple results into a single statistic</li>
</ul>

To learn more about <code>rbmi</code>, please see the quickstart vignette:
<code><a href='https://insightsengineering.github.io/rbmi/articles/quickstart.html'>vignette(topic= "quickstart", package = "rbmi")</a></code>

rbmi: Reference Based Multiple Imputation — rbmi-package

Maintainer: Craig Gower-Page <a href='mailto:craig.gower-page@roche.com'>craig.gower-page@roche.com</a>
Authors:<ul>
<li>Alessandro Noci <a href='mailto:alessandro.noci@roche.com'>alessandro.noci@roche.com</a></li>
<li>Isaac Gravestock <a href='mailto:isaac.gravestock@roche.com'>isaac.gravestock@roche.com</a></li>
</ul>

Other contributors:<ul>
<li>Marcel Wolbers <a href='mailto:marcel.wolbers@roche.com'>marcel.wolbers@roche.com</a> [contributor]</li>
<li>F. Hoffmann-La Roche AG [copyright holder, funder]</li>
</ul>

rbmi-package: rbmi: Reference Based Multiple Imputation

Description

Arguments

Author

See Also