Bayesian Adaptive Designs for Diagnostic Trials [R package adaptDiag version 0.1.0]

adaptDiag: Bayesian Adaptive Designs for Diagnostic Trials

Simulate clinical trials for diagnostic test devices and evaluate the operating characteristics under an adaptive design with futility assessment determined via the posterior predictive probabilities.

Version: 0.1.0

Depends: R (≥ 3.6.0)

Imports: doParallel, extraDistr, foreach, parallel, pbmcapply, stats

Suggests: rmarkdown, knitr, testthat (≥ 3.0.0), VGAM, covr

Published: 2021年08月17日

DOI: 10.32614/CRAN.package.adaptDiag

Author: Graeme L. Hickey [cre, aut], Yongqiang Zhang [aut], Becton, Dickinson and Company [cph]

Maintainer: Graeme L. Hickey <graemeleehickey at gmail.com>

BugReports: https://github.com/graemeleehickey/adaptDiag/issues

License: GPL-3

URL: https://github.com/graemeleehickey/adaptDiag

NeedsCompilation: no

Language: en-US

Materials: README, NEWS

In views: ClinicalTrials

CRAN checks: adaptDiag results

Documentation:

Reference manual: adaptDiag.html , adaptDiag.pdf

Vignettes: julian (source, R code)
type1-error (source, R code)

Downloads:

Package source: adaptDiag_0.1.0.tar.gz

Windows binaries: r-devel: adaptDiag_0.1.0.zip, r-release: adaptDiag_0.1.0.zip, r-oldrel: adaptDiag_0.1.0.zip

macOS binaries: r-release (arm64): adaptDiag_0.1.0.tgz, r-oldrel (arm64): adaptDiag_0.1.0.tgz, r-release (x86_64): adaptDiag_0.1.0.tgz, r-oldrel (x86_64): adaptDiag_0.1.0.tgz

Linking:

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