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

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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1.0.11 by Germaine Uwimpuhwe, a month ago

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Authors: Germaine Uwimpuhwe , Akansha Singh , Steve Higgins , ZhiMin Xiao , Ewoud De Troyer and Adetayo Kasim

Documentation:   PDF Manual  

GPL-3 license

Imports lme4, mvtnorm, graphics, stats, rstanarm, ggplot2, methods

Suggests knitr, rmarkdown, testthat

See at CRAN