is_char_fact

returns true if x is character or factor vector

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>.

Craig Gower-Page

rbmi

Reference Based Multiple Imputation

Alessandro Noci

Marcel Wolbers

Isaac Gravestock

F. Hoffmann-La Roche AG 

is_char_fact function

<dl><dt>x</dt>
<dd>a character or factor vector</dd></dl>

Arguments

Is character or factor — is_char_fact

<dl>

<dt>x</dt>
<dd>a character or factor vector</dd>

</dl>

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is_char_fact: Is character or factor

Description

Usage

Arguments