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:Germaine Uwimpuhwe, Qing Zhang, Akansha Singh, Dimitris Vallis, Steve Higgins, ZhiMin Xiao, Ewoud De Troyer and Adetayo Kasim

eefAnalytics_1.1.2.tar.gz
eefAnalytics_1.1.2.zip(r-4.5)eefAnalytics_1.1.2.zip(r-4.4)eefAnalytics_1.1.2.zip(r-4.3)
eefAnalytics_1.1.2.tgz(r-4.4-any)eefAnalytics_1.1.2.tgz(r-4.3-any)
eefAnalytics_1.1.2.tar.gz(r-4.5-noble)eefAnalytics_1.1.2.tar.gz(r-4.4-noble)
eefAnalytics_1.1.2.tgz(r-4.4-emscripten)eefAnalytics_1.1.2.tgz(r-4.3-emscripten)
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'))

Peer review:

Bug tracker:https://github.com/germaine86/eefanalytics/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:
  • 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.

On CRAN:

3.60 score 20 scripts 624 downloads 12 exports 77 dependencies

Last updated 2 months agofrom:ba0d90d941. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-winERRORNov 06 2024
R-4.5-linuxERRORNov 06 2024
R-4.4-winERRORNov 06 2024
R-4.4-macERRORNov 06 2024
R-4.3-winERRORNov 06 2024
R-4.3-macERRORNov 06 2024

Exports:caceCRTBootcaceMSTBootcaceSRTBootComparePlotcrtBayescrtFREQGainIndexmlmbayesmstBayesmstFREQsrtBayessrtFREQ

Dependencies:abindbackportsBHbootbriocallrcheckmateclicodacolorspacecrayondescdiffobjdigestdistributionalevaluatefansifarverfsgenericsggplot2gluegridExtragtableinlineisobandjsonlitelabelinglatticelifecyclelme4loomagrittrMASSMatrixmatrixStatsMCMCvismgcvminqamunsellmvtnormnlmenloptrnumDerivoverlappingpillarpkgbuildpkgconfigpkgloadposteriorpraiseprocessxpsQuickJSRR2jagsR2WinBUGSR6RColorBrewerRcppRcppEigenRcppParallelrjagsrlangrprojrootrstanscalesStanHeadersstringistringrtensorAtestthattibbleutf8vctrsviridisLitewaldowithr

Introduction to eefAnalytics

Rendered fromeefAnalytics.Rmdusingknitr::rmarkdownon Nov 06 2024.

Last update: 2024-10-07
Started: 2024-10-07