ancova_group_labels

Maps the ordered factor levels of the group variable to the fixed <code>rbmi</code> label
scheme: the first level is <code>ref</code>, the second <code>alt</code>, and any further levels
<code>alt2</code>, <code>alt3</code>, etc.

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 

ancova_group_labels function

<dl><dt>n</dt>
<dd>Integer, the number of group levels.</dd></dl>

Arguments

ANCOVA group level labels — ancova_group_labels

<dl>

<dt>n</dt>
<dd>Integer, the number of group levels.</dd>

</dl>

ancova_group_labels: ANCOVA group level labels

Description

Usage

Value

Arguments