plot_CovMat

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_CovMat function

<dl><dt>CovMat</dt>
<dd>A covariance matrix (possibly in sparse matrix notation)</dd>
<dt>show_colorbar</dt>
<dd>logical, should the colorbar be shown?</dd></dl>

Arguments

Visualise a Covariance Matrix — plot_CovMat

<dl>

<dt>CovMat</dt>
<dd>A covariance matrix (possibly in sparse matrix notation)</dd>


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

</dl>

plot_CovMat: Visualise a Covariance Matrix

Description

Usage

Value

Arguments