assert_variables_exist

Performs an assertion check to ensure that a vector of variable exists within a data.frame as expected.

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>.

Isaac Gravestock

rbmi

Reference Based Multiple Imputation

Craig Gower-Page

Alessandro Noci

Marcel Wolbers

Daniel Sabanes Bove

F. Hoffmann-La Roche AG 

assert_variables_exist function

<dl><dt>data</dt>
<dd>a data.frame</dd>
<dt>vars</dt>
<dd>a character vector of variable names</dd></dl>

Arguments

Assert that all variables exist within a dataset — assert_variables_exist

<dl>

<dt>data</dt>
<dd>a data.frame</dd>


<dt>vars</dt>
<dd>a character vector of variable names</dd>

</dl>

assert_variables_exist: Assert that all variables exist within a dataset

Description

Usage

Arguments