formula_has_interaction

Check whether a variable participates in a formula interaction

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 

formula_has_interaction function

<dl><dt>formula</dt>
<dd>A model formula.</dd>
<dt>variable</dt>
<dd>Character, the name of the variable to check.</dd></dl>

Arguments

Check whether a variable participates in a formula interaction — formula_has_interaction

<dl>

<dt>formula</dt>
<dd>A model formula.</dd>


<dt>variable</dt>
<dd>Character, the name of the variable to check.</dd>

</dl>

formula_has_interaction: Check whether a variable participates in a formula interaction

Description

Usage

Value

Arguments

Details