Type: Package
Package: BayesDIP
Title: Bayesian Decreasingly Informative Priors for Early Termination
        Phase II Trials
Version: 0.1.1
Date: 2023-1-31
Authors@R: c(
    person("Chen", "Wang", , "wangc10@vcu.edu", role = c("cre", "aut")),
    person("Roy", "Sabo", , "roy.sabo@vcuhealth.org", role = "aut")
  )
Maintainer: Chen Wang <wangc10@vcu.edu>
Description: 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>.
License: GPL (>= 2)
URL: <https://github.com/chenw10/BayesDIP>
Imports: stats
Encoding: UTF-8
RoxygenNote: 7.2.2
Language: en-US
NeedsCompilation: no
Packaged: 2023-02-01 18:44:53 UTC; chen
Author: Chen Wang [cre, aut],
  Roy Sabo [aut]
Repository: CRAN
Date/Publication: 2023-02-02 16:20:05 UTC
Built: R 4.6.0; ; 2026-04-26 12:21:54 UTC; unix
