as_simple_formula

Converts a string list of variables into a formula object

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_simple_formula function

<dl><dt>outcome</dt>
<dd>character (length 1 vector). Name of the outcome variable</dd>
<dt>covars</dt>
<dd>character (vector). Name of covariates</dd></dl>

Arguments

Creates a simple formula object from a string — as_simple_formula

<dl>

<dt>outcome</dt>
<dd>character (length 1 vector). Name of the outcome variable</dd>


<dt>covars</dt>
<dd>character (vector). Name of covariates</dd>

</dl>

as_simple_formula: Creates a simple formula object from a string

Description

Usage

Value

Arguments