validate_analyse_pars

Validates analysis results generated by <code>analyse()</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>.

Lukas A. Widmer

rbmi

Reference Based Multiple Imputation

Craig Gower-Page

Isaac Gravestock

Alessandro Noci

Marcel Wolbers

Daniel Sabanes Bove

F. Hoffmann-La Roche AG 

validate_analyse_pars function

<dl><dt>results</dt>
<dd>A list of results generated by the analysis <code>fun</code>
used in <code>analyse()</code>.</dd>
<dt>pars</dt>
<dd>A list of expected parameters in each of the analysis.
lists i.e. <code>c("est", "se", "df")</code>.</dd></dl>

Arguments

Validate analysis results — validate_analyse_pars

<dl>

<dt>results</dt>
<dd>A list of results generated by the analysis <code>fun</code>
used in <code>analyse()</code>.</dd>


<dt>pars</dt>
<dd>A list of expected parameters in each of the analysis.
lists i.e. <code>c("est", "se", "df")</code>.</dd>

</dl>

validate_analyse_pars: Validate analysis results

Description

Usage

Value

Arguments