plot.mrs

Provides estimation and leave-one-cluster-out jackknife standard errors
for four longitudinal cluster-randomized trial estimands: horizontal individual
average treatment effect (h-iATE), horizontal cluster average treatment effect
(h-cATE), vertical individual average treatment effect (v-iATE), and vertical
cluster-period average treatment effect (v-cATE), using unadjusted and augmented
(model-robust standardization) estimators. The working model may be fit using
linear mixed models for continuous outcomes or generalized estimating equations
and generalized linear mixed models for binary outcomes. Period inclusion for
aggregation is determined automatically: only periods with both treated and
control clusters are included in the construction of the marginal means and
treatment effect contrasts. See Fang et al. (2025) <doi:10.48550/arXiv.2507.17190>.

Xi Fang

MRStdLCRT

Model-Robust Standardization for Longitudinal Cluster-Randomized
Trials

Fan Li

plot.mrs function

<dl><dt>x</dt>
<dd>An object of class <code>"mrs"</code>.</dd>
<dt>level</dt>
<dd>Confidence level.</dd>
<dt>estimand</dt>
<dd>Subset of estimands to plot.</dd>
<dt>point_size</dt>
<dd>Point size.</dd>
<dt>...</dt>
<dd>Unused.</dd></dl>

Arguments

Plot method for mrs objects — plot.mrs

<dl>

<dt>x</dt>
<dd>An object of class <code>"mrs"</code>.</dd>


<dt>level</dt>
<dd>Confidence level.</dd>


<dt>estimand</dt>
<dd>Subset of estimands to plot.</dd>


<dt>point_size</dt>
<dd>Point size.</dd>


<dt>...</dt>
<dd>Unused.</dd>

</dl>

plot.mrs: Plot method for mrs objects

Description

Usage

Value

Arguments