a_rbmi_lsmeans

'RBMI' implements standard and reference based multiple
imputation methods for continuous longitudinal endpoints (Gower-Page
et al. (2022) <doi:10.21105/joss.04251>). This package provides an
interface for 'RBMI' uses the 'tern'
<https://cran.r-project.org/package=tern> framework by Zhu et al.
(2023) and tabulate results easily using 'rtables'
<https://cran.r-project.org/package=rtables> by Becker et al. (2023).

Joe Zhu

tern.rbmi

Create Interface for 'RBMI' and 'tern'

a_rbmi_lsmeans function

<dl><dt>df</dt>
<dd>input dataframe</dd>
<dt>.in_ref_col</dt>
<dd>boolean variable, if reference column is specified</dd>
<dt>show_relative</dt>
<dd>"reduction" if (<code>control - treatment</code>, default) or "increase"
(<code>treatment - control</code>) of relative change from baseline?</dd></dl>

Arguments

Formatted Analysis function which can be further customized by calling
rtables::make_afun() on it. It is used as afun in rtables::analyze(). — a_rbmi_lsmeans

<dl>

<dt>df</dt>
<dd>input dataframe</dd>


<dt>.in_ref_col</dt>
<dd>boolean variable, if reference column is specified</dd>


<dt>show_relative</dt>
<dd>"reduction" if (<code>control - treatment</code>, default) or "increase"
(<code>treatment - control</code>) of relative change from baseline?</dd>

</dl>

Formatted Analysis function which can be further customized by calling
<code>rtables::make_afun()</code> on it. It is used as <code>afun</code> in <code>rtables::analyze()</code>.

a_rbmi_lsmeans: Formatted Analysis function which can be further customized by calling `rtables::make_afun()` on it. It is used as `afun` in `rtables::analyze()`.

Description

Usage

Value

Arguments