validate

This function is used to perform assertions that an object
conforms to its expected structure and no basic assumptions
have been violated. Will throw an error if checks do not pass.

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 

validate function

<dl><dt>x</dt>
<dd>object to be validated.</dd>
<dt>...</dt>
<dd>additional arguments to pass to the specific validation method.</dd></dl>

Arguments

Generic validation method — validate

<dl>

<dt>x</dt>
<dd>object to be validated.</dd>


<dt>...</dt>
<dd>additional arguments to pass to the specific validation method.</dd>

</dl>

validate: Generic validation method

Description

Usage

Arguments