as_dataframe

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 

as_dataframe function

<dl><dt>x</dt>
<dd>a data.frame like object
Utility function to convert a "data.frame-like" object to an actual <code>data.frame</code>
to avoid issues with inconsistency on methods (such as <code>[</code>() and dplyr's grouped dataframes)</dd></dl>

Arguments

Convert object to dataframe — as_dataframe

<dl>

<dt>x</dt>
<dd>a data.frame like object
Utility function to convert a "data.frame-like" object to an actual <code>data.frame</code>
to avoid issues with inconsistency on methods (such as <code>[</code>() and dplyr's grouped dataframes)</dd>

</dl>

Convert object to dataframe

as_dataframe: Convert object to dataframe

Description

Usage

Arguments