Package: BDP2 0.1.3

BDP2: Bayesian Adaptive Designs for Phase II Trials with Binary Endpoint

Tools and workflow to choose design parameters in Bayesian adaptive single-arm phase II trial designs with binary endpoint (response, success) with possible stopping for efficacy and futility at interim analyses. Also contains routines to determine and visualize operating characteristics. See Kopp-Schneider et al. (2018) <doi:10.1002/bimj.201700209>.

Authors:Annette Kopp-Schneider, Manuel Wiesenfarth, Ulrich Abel

BDP2_0.1.3.tar.gz
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BDP2_0.1.3.tar.gz(r-4.5-noble)BDP2_0.1.3.tar.gz(r-4.4-noble)
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BDP2.pdf |BDP2.html✨
BDP2/json (API)

# Install 'BDP2' in R:
install.packages('BDP2', repos = c('https://wiesenfa.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/wiesenfa/bdp2/issues

On CRAN:

Conda-Forge:

3.93 score 1 stars 17 scripts 237 downloads 1 mentions 10 exports 38 dependencies

Last updated 4 years agofrom:f674d39ef8. Checks:1 OK, 7 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 27 2025
R-4.5-winWARNINGFeb 27 2025
R-4.5-macWARNINGFeb 27 2025
R-4.5-linuxWARNINGFeb 27 2025
R-4.4-winWARNINGFeb 27 2025
R-4.4-macWARNINGFeb 27 2025
R-4.3-winWARNINGFeb 27 2025
R-4.3-macWARNINGFeb 27 2025

Exports:BDP2BDP2_simulateBDP2workflowcrit_generalpFstoppFstopEcallpFstopEstopplot.cE_vs_pEcallplot.cE_vs_pEstopplotBDP2

Dependencies:base64encbslibcachemclicommonmarkcrayondigestevaluatefastmapfontawesomefsgluehighrhtmltoolshttpuvjquerylibjsonliteknitrlaterlifecyclemagrittrmemoisemimepromisesR6rappdirsRcpprlangrmarkdownsassshinyshinyBSsourcetoolstinytexwithrxfunxtableyaml

Monitoring futility and efficacy in phase II trials with Bayesian posterior distributions -- a calibration approach

Annette Kopp-Schneider, Manuel Wiesenfarth, Ruth Witt, Dominic Edelmann, Olaf Witt and Ulrich Abel

Rendered fromreproduce_results.Rmdusingknitr::rmarkdownon Feb 27 2025.

Last update: 2021-04-07
Started: 2018-07-24

Readme and manuals

Help Manual

Help pageTopics
Bayesian Adaptive Designs for Phase II Trials with Binary EndpointBDP2-package
Operating characteristics of a single-arm trial with a binary endpointBDP2
Simulated operating characteristics of a single-arm trial with a binary endpoint for different types of futility criteriaBDP2_simulate
Shiny app for workflowBDP2workflow
Calculates CritBoundaries for different types of futility criteriacrit_general
internal functionsBDP2_simulateEF_PredPow BDP2_simulateF BetaBinom CondPower crit CritBoundary CritBoundary1 CritBoundaryE5 CritBoundaryF5 CritBoundaryPost CritBoundaryRates CritBoundaryTest critEF crit_general expectedNumberFstop pFstop pFstopEcall pFstopEcall_vec pFstopEstop pFstop_vec pFstop_vec_general pinconsistent plot.cE_vs_pEcall plotbFbEVSn plotExpectedNumberVSptrue plotPEcallVScE plotPEcallVSptrue plotPEcall_p0_p1VSn plotPFstopEcallVSn plotPFstopVScF plotPFstopVSptrue plotPostProb0or1SuccessesVSn plotProb0SuccessesVSn PredPower SimEF SimOC
Operating characteristics of a single-arm trial with a binary endpoint with futility stoppingpFstop
operating characteristics of a single-arm trial with a binary endpoint with futility stopping and calling efficacy at interimpFstopEcall
Operating characteristics of a single-arm trial with a binary endpoint with stopping for futility and stopping for efficacypFstopEstop
Plot objects returned by plotBDP2()plot.cE_vs_pEcall plot.cE_vs_pEstop
PlotsplotBDP2