summary.BMSC

Analyse single case analyses against a control group.
Its purpose is to provide a flexible, with good power and
low first type error
approach that can manage at the same time controls' and patient's data.
The use of Bayesian statistics allows to test both the alternative and
null hypothesis.
Scandola, M., & Romano, D. (2020, August 3). <doi:10.31234/osf.io/sajdq>
Scandola, M., & Romano, D. (2021). <doi:10.1016/j.neuropsychologia.2021.107834>.

Michele Scandola

bmscstan

Bayesian Multilevel Single Case Models using 'Stan'

summary.BMSC function

<dl><dt>object</dt>
<dd>An object of class <code>BMSC</code>, resulting from the BMSC function.</dd>
<dt>...</dt>
<dd>other arguments are ignored.</dd></dl>

Arguments

Summarizing Bayesian Multilevel Single Case objects — summary.BMSC

<dl>

<dt>object</dt>
<dd>An object of class <code>BMSC</code>, resulting from the BMSC function.</dd>


<dt>...</dt>
<dd>other arguments are ignored.</dd>

</dl>

summary.BMSC: Summarizing Bayesian Multilevel Single Case objects

Description

Usage

Value

Arguments