clear_model_cache

Clears the compiled Stan model cache, keeping only the models that match the <code>keep</code> argument.

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 

clear_model_cache function

<dl><dt>keep</dt>
<dd>A character string that specifies which models to keep in the cache.</dd>
<dt>cache_dir</dt>
<dd>The directory where the compiled Stan models are cached. Defaults to the option <code>rbmi.cache_dir</code>.</dd></dl>

Arguments

Clear Model Cache — clear_model_cache

<dl>

<dt>keep</dt>
<dd>A character string that specifies which models to keep in the cache.</dd>


<dt>cache_dir</dt>
<dd>The directory where the compiled Stan models are cached. Defaults to the option <code>rbmi.cache_dir</code>.</dd>

</dl>

clear_model_cache: Clear Model Cache

Description

Usage

Value

Arguments