validate.analysis

Validates the return object of the <code>analyse()</code> function.

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 

validate.analysis function

<dl><dt>x</dt>
<dd>An <code>analysis</code> results object (of class <code>"jackknife"</code>, <code>"bootstrap"</code>, <code>"rubin"</code>).</dd>
<dt>...</dt>
<dd>Not used.</dd></dl>

Arguments

Validate analysis objects — validate.analysis

<dl>

<dt>x</dt>
<dd>An <code>analysis</code> results object (of class <code>"jackknife"</code>, <code>"bootstrap"</code>, <code>"rubin"</code>).</dd>


<dt>...</dt>
<dd>Not used.</dd>

</dl>

validate.analysis: Validate `analysis` objects

Description

Usage

Arguments