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eefAnalytics (version 1.1.5)

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

Description

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.

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Version

Install

install.packages('eefAnalytics')

Monthly Downloads

329

Version

1.1.5

License

AGPL (>= 3)

Maintainer

Germaine Uwimpuhwe

Last Published

January 9th, 2025

Functions in eefAnalytics (1.1.5)

GainIndex

Calculate the Gain Index (GI) using JAGS
print.eefAnalytics

Print for a fitted model represented by an eefAnalytics object.
summary.eefAnalytics

Summary for a fitted model represented by an eefAnalytics object.
srtFREQ

Analysis of Simple Randomised Education Trial using Linear Regression Model.
srtBayes

Bayesian Analysis of Simple Randomised Education Trials (SRT) using Bayesian Linear Regression Model with Vague Priors.
mstFREQ

Analysis of Multisite Randomised Education Trials using Multilevel Model under a Frequentist Setting.
plot.eefAnalytics

A plot method for an eefAnalytics S3 object obtained from the eefAnalytics package.
crtFREQ

Analysis of Cluster Randomised Education Trials using Multilevel Model under a Frequentist Setting.
mstBayes

Bayesian analysis of Multisite Randomised Education Trials (MST) using Vague Priors
ComparePlot

A plot function to compare different eefAnalytics S3 objects from the eefAnalytics package.
mstData

Multisite Trial Data.
eefAnalytics-defunct

Defunct functions in eefAnalytics
crtData

Cluster Randomised Trial Data.
crtBayes

Bayesian analysis of Cluster Randomised Education Trials (CRT) using Vague Priors.