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.
- Version0.1.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- Wang C and Sabo RT (2022)
- Sabo RT (2014)
- Last release02/02/2023
Documentation
Team
Chen Wang
Roy Sabo
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