Package: triggerstrategy 1.2.0

Jiangtao Gou

triggerstrategy: Trigger Strategy in Clinical Trials

The trigger strategy is a general framework for a multistage statistical design with multiple hypotheses, allowing an adaptive selection of interim analyses. The selection of interim stages can be associated with some prespecified endpoints which serve as the trigger. This selection allows us to refine the critical boundaries in hypotheses testing procedures, and potentially increase the statistical power. This package includes several trial designs using the trigger strategy. See Gou, J. (2023), "Trigger strategy in repeated tests on multiple hypotheses", Statistics in Biopharmaceutical Research, 15(1), 133-140, and Gou, J. (2022), "Sample size optimization and initial allocation of the significance levels in group sequential trials with multiple endpoints", Biometrical Journal, 64(2), 301-311.

Authors:Jiangtao Gou [aut, cre], Fengqing Zhang [aut]

triggerstrategy_1.2.0.tar.gz
triggerstrategy_1.2.0.zip(r-4.7-any)triggerstrategy_1.2.0.zip(r-4.6-any)
triggerstrategy_1.2.0.tar.gz(r-4.7-any)triggerstrategy_1.2.0.tar.gz(r-4.6-any)
triggerstrategy_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
triggerstrategy/json (API)

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

On CRAN:

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 285 downloads 16 exports 11 dependencies

Last updated from:6d15e9f815. Checks:6 OK. Indexed: yes.

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linux-develOK99
source / vignettesOK172
linux-releaseOK106
windows-develOK73
windows-releaseOK71
wasm-releaseOK93

Exports:alpha2boundaryboundary2alphacorrMatGeneratorgboundsmarginalPwRpsPwRbhmbpsPwRtriggersBoundsPh2sErrRphInt2solveAlphaXsampleSizesolveAlphaXsampleSizeGAsPwRholmsPwRholmyesPwRnaiveBonfsPwRph2sPwRtrigger

Dependencies:clicodetoolscrayonforeachGAiteratorsldboundsmvtnormnleqslvRcppRcppArmadillo