Bayesian Decreasingly Informative Priors for Early Termination Phase II Trials R package BayesDIP version 0.1.1 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>. Software Imports: stats Chen Wang <wangc10@vcu.edu> Comprehensive R Archive Network (CRAN) Chen Wang [cre, aut], Roy Sabo [aut] GPL (>= 2) 2023-02-02 application/tgz https://CRAN.R-project.org/package=BayesDIP doi:10.32614/CRAN.package.BayesDIP en-US