summary.eefAnalytics

Summary for a fitted model represented by an <code>eefAnalytics</code> object.

Analysing data from evaluations of educational interventions using a randomised controlled trial design. Various analytical tools to perform sensitivity analysis using different methods are supported (e.g. frequentist models with bootstrapping and permutations options, Bayesian models). The included commands can be used for simple randomised trials, cluster randomised trials and multisite trials. The methods can also be used more widely beyond education trials. This package can be used to evaluate other intervention designs using Frequentist and Bayesian multilevel models.

Germaine Uwimpuhwe

eefAnalytics

Robust Analytical Methods for Evaluating Educational
Interventions using Randomised Controlled Trials Designs

Qing Zhang

Akansha Singh

Dimitris Vallis

Jochen Einbeck

Steve Higgins

ZhiMin Xiao

Ewoud De Troyer

Adetayo Kasim

summary.eefAnalytics function

<dl><dt>object</dt>
<dd>Object of class <code>eefAnalytics</code></dd>
<dt>...</dt>
<dd>Additional arguments of <code><a href="/link/summary?package=eefAnalytics&version=1.1.5" data-mini-rdoc="eefAnalytics::summary">summary</a></code></dd></dl>

Arguments

Summary for a fitted model represented by an eefAnalytics object. — summary.eefAnalytics

<dl>

<dt>object</dt>
<dd>Object of class <code>eefAnalytics</code></dd>


<dt>...</dt>
<dd>Additional arguments of <code><a href='https://rdrr.io/r/base/summary.html'>summary</a></code></dd>

</dl>

Summary for a fitted model represented by an <code>eefAnalytics</code> object.

summary.eefAnalytics: Summary for a fitted model represented by an `eefAnalytics` object.

Description

Usage

Value

Arguments