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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: 2021-08-17
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
CRAN checks: adaptDiag results

Documentation:

Reference manual: adaptDiag.pdf
Vignettes: julian
type1-error

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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.