Package: earlygating 1.1

earlygating: Properties of Bayesian Early Gating Designs

Computes the most important properties of four 'Bayesian' early gating designs (two single arm and two randomized controlled designs), such as minimum required number of successes in the experimental group to make a GO decision, operating characteristics and average operating characteristics with respect to the sample size. These might aid in deciding what design to use for the early phase trial.

Authors:Elias Laurin Meyer [aut, cre]

earlygating_1.1.tar.gz
earlygating_1.1.zip(r-4.5)earlygating_1.1.zip(r-4.4)earlygating_1.1.zip(r-4.3)
earlygating_1.1.tgz(r-4.5-any)earlygating_1.1.tgz(r-4.4-any)earlygating_1.1.tgz(r-4.3-any)
earlygating_1.1.tar.gz(r-4.5-noble)earlygating_1.1.tar.gz(r-4.4-noble)
earlygating_1.1.tgz(r-4.4-emscripten)earlygating_1.1.tgz(r-4.3-emscripten)
earlygating.pdf |earlygating.html
earlygating/json (API)

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

Bug tracker:https://github.com/el-meyer/earlygating/issues

On CRAN:

Conda:

2.70 score 8 scripts 187 downloads 8 exports 13 dependencies

Last updated 3 years agofrom:95564ece1f. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 19 2025
R-4.5-winOKMar 19 2025
R-4.5-macOKMar 19 2025
R-4.5-linuxOKMar 19 2025
R-4.4-winOKMar 19 2025
R-4.4-macOKMar 19 2025
R-4.4-linuxOKMar 19 2025
R-4.3-winOKMar 19 2025
R-4.3-macOKMar 19 2025

Exports:avg_oc_wr_neavg_oc_wr_ne_rctavg_oc_wr_phbeta_parococ_rctreq_respreq_resp_rct

Dependencies:betaregcodetoolsdoParallelflexmixforeachFormulaiteratorslatticelmtestmodeltoolsnnetsandwichzoo