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-any)earlygating_1.1.zip(r-4.6-any)earlygating_1.1.zip(r-4.5-any)
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✨
DESCRIPTION
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 256 downloads 8 exports 13 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK137
source / vignettesOK187
linux-releaseOK115
macos-releaseOK76
macos-oldrelOK91
windows-develOK88
windows-releaseOK65
windows-oldrelOK63
wasm-releaseOK102

Exports:avg_oc_wr_neavg_oc_wr_ne_rctavg_oc_wr_phbeta_parococ_rctreq_respreq_resp_rct

Dependencies:betaregcodetoolsdoParallelflexmixforeachFormulaiteratorslatticelmtestmodeltoolsnnetsandwichzoo