Package: epts 1.2.2

Mohammad Sayari

epts: Educational Platform Trials Simulator

Simulating multi-arm cluster-randomized, multi-site, and simple randomized trials. Includes functions for conducting multilevel analyses using both Bayesian and Frequentist methods. Supports futility and superiority analyses through Bayesian approaches, along with visualization tools to aid interpretation and presentation of results.

Authors:Mohammad Sayari [aut, cre], Akansha Singh [aut], Germaine Uwimpuhwe [aut], Jochen Einbeck [aut]

epts_1.2.2.tar.gz
epts_1.2.2.tar.gz(r-4.7-any)epts_1.2.2.tar.gz(r-4.6-any)
epts_1.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
epts/json (API)

# Install 'epts' in R:
install.packages('epts', 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:

On CRAN:

Conda:

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

jagscpp

1.00 score 3 scripts 580 downloads 11 exports 133 dependencies

Last updated from:d87f01ee5e. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK202
source / vignettesOK242
linux-release-x86_64OK197
wasm-releaseOK162

Exports:crtAddInterventioncrtDataSimulationfutilityAnalysismstAddInterventionmstDataSimulationmultiArmAnalysisplotPosteriorProbsrunEPTSsrtAddInterventionsrtDataSimulationsuperiorityAnalysis

Dependencies:abindbackportsbase64encBHbootbriobroombslibcachemcallrcarcarDatacheckmateclicodacolorspacecommonmarkcorrplotcowplotcpp11crayonDerivdescdiffobjdigestdistributionaldoBydplyreefAnalyticsevaluatefarverfastmapfontawesomeforecastFormulafracdifffsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehtmltoolshttpuvinlineisobandjquerylibjsonlitelabelinglaterlatticelifecyclelme4lmtestloomagrittrMASSMatrixMatrixModelsmatrixStatsMCMCvismemoisemgcvmicrobenchmarkmimeminqamodelrmvtnormnlmenloptrnnetnumDerivoteloverlappingpbkrtestpillarpkgbuildpkgconfigpkgloadpolynomposteriorpraiseprocessxpromisespspurrrquantregQuickJSRR2jagsR2WinBUGSR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreformulasrjagsrlangrprojrootrstanrstatixS7sassscalesshinysourcetoolsSparseMStanHeadersstringistringrsurvivaltensorAtestthattibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewaldowithrxtablezoo