Package: bacistool
Type: Package
Title: Bayesian Classification and Information Sharing (BaCIS) Tool for
        the Design of Multi-Group Phase II Clinical Trials
Version: 1.0.0
Author: Nan Chen and J. Jack Lee
Maintainer: J. Jack Lee <jjlee@mdanderson.org>
Description: Provides the design of multi-group phase II clinical
        trials with binary outcomes using the hierarchical Bayesian
        classification and information sharing (BaCIS) model. Subgroups
        are classified into two clusters on the basis of their outcomes
        mimicking the hypothesis testing framework. Subsequently,
        information sharing takes place within subgroups in the same
        cluster, rather than across all subgroups. This method can be
        applied to the design and analysis of multi-group clinical
        trials with binary outcomes. Reference: Nan Chen and J. Jack
        Lee (2019) <doi:10.1002/bimj.201700275>.
Depends: R (>= 3.3.0)
SystemRequirements: JAGS (>= 4.3.0)
Imports: rjags
License: GNU General Public License (>= 3)
Encoding: UTF-8
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2026-10-08 08:28:02 UTC; root
Config/pak/sysreqs: jags
Repository: https://jjacklee116.r-universe.dev
Date/Publication: 2020-06-05 21:00:05 UTC
RemoteUrl: https://github.com/cran/bacistool
RemoteRef: HEAD
RemoteSha: a7a336e0ee17189c6962392491b861017d7cf890