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
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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'))

Peer review:

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

On CRAN:

8 exports 0.63 score 13 dependencies 8 scripts 262 downloads

Last updated 3 years agofrom:95564ece1f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 15 2024
R-4.5-winOKSep 15 2024
R-4.5-linuxOKSep 15 2024
R-4.4-winOKSep 15 2024
R-4.4-macOKSep 15 2024
R-4.3-winOKSep 15 2024
R-4.3-macOKSep 15 2024

Exports:avg_oc_wr_neavg_oc_wr_ne_rctavg_oc_wr_phbeta_parococ_rctreq_respreq_resp_rct

Dependencies:betaregcodetoolsdoParallelflexmixforeachFormulaiteratorslatticelmtestmodeltoolsnnetsandwichzoo