complete_control_bayes

This function completes the control options list for Bayesian methods by setting
the number of iterations, refresh rate, and initial values based on the provided arguments.

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

rbmi

Reference Based Multiple Imputation

Isaac Gravestock

Alessandro Noci

Marcel Wolbers

Daniel Sabanes Bove

F. Hoffmann-La Roche AG 

complete_control_bayes function

<dl><dt>control</dt>
<dd>A list containing part of the control options. Must not contain
<code>iter</code>, <code>refresh</code>, <code>object</code>, <code>data</code>, or <code>pars</code>.</dd>
<dt>n_samples</dt>
<dd>Number of samples to be drawn.</dd>
<dt>quiet</dt>
<dd>A logical indicating whether to suppress output during sampling.</dd>
<dt>stan_data</dt>
<dd>A list containing the Stan data.</dd>
<dt>mmrm_initial</dt>
<dd>A list containing the initial values from the MMRM.</dd>
<dt>covariance</dt>
<dd>A character string indicating the type of covariance structure.</dd>
<dt>prior_cov</dt>
<dd>A character string indicating the type of prior for the covariance parameters.</dd></dl>

Arguments

Completion of the Control Options List — complete_control_bayes

<dl>

<dt>control</dt>
<dd>A list containing part of the control options. Must not contain
<code>iter</code>, <code>refresh</code>, <code>object</code>, <code>data</code>, or <code>pars</code>.</dd>


<dt>n_samples</dt>
<dd>Number of samples to be drawn.</dd>


<dt>quiet</dt>
<dd>A logical indicating whether to suppress output during sampling.</dd>


<dt>stan_data</dt>
<dd>A list containing the Stan data.</dd>


<dt>mmrm_initial</dt>
<dd>A list containing the initial values from the MMRM.</dd>


<dt>covariance</dt>
<dd>A character string indicating the type of covariance structure.</dd>


<dt>prior_cov</dt>
<dd>A character string indicating the type of prior for the covariance parameters.</dd>

</dl>

complete_control_bayes: Completion of the Control Options List

Description

Usage

Value

Arguments