Package: eefAnalytics 1.1.5

Germaine Uwimpuhwe

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 [aut, cre], Qing Zhang [aut], Akansha Singh [aut], Dimitris Vallis [aut], Jochen Einbeck [aut], Steve Higgins [aut], ZhiMin Xiao [aut], Ewoud De Troyer [aut], Adetayo Kasim [aut]

eefAnalytics_1.1.5.tar.gz
eefAnalytics_1.1.5.tar.gz(r-4.7-any)eefAnalytics_1.1.5.tar.gz(r-4.6-any)
eefAnalytics_1.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
eefAnalytics/json (API)
NEWS

# Install 'eefAnalytics' in R:
install.packages('eefAnalytics', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
  • c++– GNU Standard C++ Library v3
Datasets:
  • crtData - Cluster Randomised Trial Data.
  • mstData - Multisite Trial Data.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

jagscpp

3.16 score 1 packages 24 scripts 317 downloads 12 exports 78 dependencies

Last updated from:4d1229d25e. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK183
source / vignettesOK252
linux-release-x86_64OK177
wasm-releaseOK147

Exports:caceCRTBootcaceMSTBootcaceSRTBootComparePlotcrtBayescrtFREQGainIndexmlmbayesmstBayesmstFREQsrtBayessrtFREQ

Dependencies:abindbackportsBHbootbriocallrcheckmateclicodacolorspacecpp11crayondescdiffobjdistributionalevaluatefarverfsgenericsggplot2gluegridExtragtableinlineisobandjsonlitelabelinglatticelifecyclelme4loomagrittrMASSMatrixmatrixStatsMCMCvisminqamvtnormnlmenloptrnumDerivoverlappingpillarpkgbuildpkgconfigpkgloadposteriorpraiseprocessxpsQuickJSRR2jagsR2WinBUGSR6rbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreformulasrjagsrlangrprojrootrstanS7scalesStanHeadersstringistringrtensorAtestthattibbleutf8vctrsviridisLitewaldowithr

Introduction to eefAnalytics

Rendered fromeefAnalytics.Rmdusingknitr::rmarkdownon May 24 2026.

Last update: 2025-01-09
Started: 2020-10-22