char2fct

Provided a vector of variable names this function converts any
character variables into factors. Has no affect on numeric or existing
factor variables

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 

char2fct function

<dl><dt>data</dt>
<dd>A data.frame</dd>
<dt>vars</dt>
<dd>a character vector of variables in <code>data</code></dd></dl>

Arguments

Convert character variables to factor — char2fct

<dl>

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


<dt>vars</dt>
<dd>a character vector of variables in <code>data</code></dd>

</dl>

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char2fct: Convert character variables to factor

Description

Usage

Arguments