Package: eefAnalytics 1.1.2
eefAnalytics: 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.
Authors:
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eefAnalytics.pdf |eefAnalytics.html✨
eefAnalytics/json (API)
NEWS
# Install 'eefAnalytics' in R: |
install.packages('eefAnalytics', repos = c('https://germaine86.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/germaine86/eefanalytics/issues
- GainIndex - Calculate the Gain Index (GI) using JAGS
- crtBayes - Bayesian analysis of Cluster Randomised Education Trials (CRT) using Vague Priors.
- crtData - Cluster Randomised Trial Data.
- crtData - Cluster Randomised Trial Data.
- mstBayes - Bayesian analysis of Multisite Randomised Education Trials (MST) using Vague Priors.
- mstData - Multisite Trial Data.
- mstData - Multisite Trial Data.
- srtBayes - Bayesian Analysis of Simple Randomised Education Trials (SRT) using Bayesian Linear Regression Model with Vague Priors.
Last updated 2 months agofrom:ba0d90d941. Checks:OK: 1 ERROR: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 06 2024 |
R-4.5-win | ERROR | Nov 06 2024 |
R-4.5-linux | ERROR | Nov 06 2024 |
R-4.4-win | ERROR | Nov 06 2024 |
R-4.4-mac | ERROR | Nov 06 2024 |
R-4.3-win | ERROR | Nov 06 2024 |
R-4.3-mac | ERROR | Nov 06 2024 |
Exports:caceCRTBootcaceMSTBootcaceSRTBootComparePlotcrtBayescrtFREQGainIndexmlmbayesmstBayesmstFREQsrtBayessrtFREQ
Dependencies:abindbackportsBHbootbriocallrcheckmateclicodacolorspacecrayondescdiffobjdigestdistributionalevaluatefansifarverfsgenericsggplot2gluegridExtragtableinlineisobandjsonlitelabelinglatticelifecyclelme4loomagrittrMASSMatrixmatrixStatsMCMCvismgcvminqamunsellmvtnormnlmenloptrnumDerivoverlappingpillarpkgbuildpkgconfigpkgloadposteriorpraiseprocessxpsQuickJSRR2jagsR2WinBUGSR6RColorBrewerRcppRcppEigenRcppParallelrjagsrlangrprojrootrstanscalesStanHeadersstringistringrtensorAtestthattibbleutf8vctrsviridisLitewaldowithr