plot_InfoContent

plot the information content of a gls object

Tools for power and sample size
calculation as well as design diagnostics for
longitudinal mixed model settings, with a focus on stepped wedge designs.
All calculations are oracle estimates i.e. assume random effect variances
to be known (or guessed) in advance.
The method is introduced in Hussey and Hughes (2007) <doi:10.1016/j.cct.2006.05.007>,
extensions are discussed in Li et al. (2020) <doi:10.1177/0962280220932962>.

Philipp Mildenberger

SteppedPower

Power Calculation for Stepped Wedge Designs

Federico Marini

plot_InfoContent function

<dl><dt>IC</dt>
<dd>a matrix with information content for each cluster at each time period</dd>
<dt>annotations</dt>
<dd>logical, should the cell contributions be annotated in the Plot?</dd>
<dt>annotation_size</dt>
<dd>font size of annotation in influence plots</dd>
<dt>show_colorbar</dt>
<dd>logical, should the colorbars be shown?</dd>
<dt>marginal_plots</dt>
<dd>should the influence of whole periods, clusters also be plotted?</dd></dl>

Arguments

plot the information content of a gls object — plot_InfoContent

<dl>

<dt>IC</dt>
<dd>a matrix with information content for each cluster at each time period</dd>


<dt>annotations</dt>
<dd>logical, should the cell contributions be annotated in the Plot?</dd>


<dt>annotation_size</dt>
<dd>font size of annotation in influence plots</dd>


<dt>show_colorbar</dt>
<dd>logical, should the colorbars be shown?</dd>


<dt>marginal_plots</dt>
<dd>should the influence of whole periods, clusters also be plotted?</dd>

</dl>

plot_InfoContent: plot the information content of a gls object

Description

Usage

Value

Arguments