BayesDIP: Bayesian Decreasingly Informative Priors for Early Termination Phase II Trials

Provide early termination phase II trial designs with a decreasingly informative prior (DIP) or a regular Bayesian prior chosen by the user. The program can determine the minimum planned sample size necessary to achieve the user-specified admissible designs. The program can also perform power and expected sample size calculations for the tests in early termination Phase II trials. See Wang C and Sabo RT (2022) <doi:10.18203/2349-3259.ijct20221110>; Sabo RT (2014) <doi:10.1080/10543406.2014.888441>.

Version: 0.1.1
Imports: stats
Published: 2023-02-02
Author: Chen Wang [cre, aut], Roy Sabo [aut]
Maintainer: Chen Wang <wangc10 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: <>
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: BayesDIP results


Reference manual: BayesDIP.pdf


Package source: BayesDIP_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BayesDIP_0.1.1.tgz, r-oldrel (arm64): BayesDIP_0.1.1.tgz, r-release (x86_64): BayesDIP_0.1.1.tgz, r-oldrel (x86_64): BayesDIP_0.1.1.tgz


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