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-4.7)earlygating_1.1.zip(r-4.6)earlygating_1.1.zip(r-4.5)
earlygating_1.1.tgz(r-4.6-any)earlygating_1.1.tgz(r-4.5-any)
earlygating_1.1.tar.gz(r-4.7-any)earlygating_1.1.tar.gz(r-4.6-any)
earlygating_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 246 downloads 8 exports 13 dependencies

Last updated from:95564ece1f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK106
source / vignettesOK170
linux-release-x86_64OK93
macos-release-arm64OK81
macos-oldrel-arm64OK113
windows-develOK147
windows-releaseOK68
windows-oldrelOK105
wasm-releaseOK101

Exports:avg_oc_wr_neavg_oc_wr_ne_rctavg_oc_wr_phbeta_parococ_rctreq_respreq_resp_rct

Dependencies:betaregcodetoolsdoParallelflexmixforeachFormulaiteratorslatticelmtestmodeltoolsnnetsandwichzoo