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
Repository: https://chenw10.r-universe.dev
Date/Publication: 2023-02-01 18:40:52 UTC
RemoteUrl: https://github.com/chenw10/bayesdip
RemoteRef: HEAD
RemoteSha: fa91ebb189f486b502b5abd254565010eec7e1fb
NeedsCompilation: no
Packaged: 2026-09-21 11:32:44 UTC; root
Author: Chen Wang [cre, aut],
  Roy Sabo [aut]