Bayesian Classification and Information Sharing (BaCIS) Tool for the Design of Multi-Group Phase II Clinical Trials

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) .


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install.packages("bacistool")

0.9.9 by Nan Chen, 7 days ago


Browse source code at https://github.com/cran/bacistool


Authors: Nan Chen and J. Jack Lee


Documentation:   PDF Manual  


GNU General Public License (>= 3) license


Imports rjags

System requirements: JAGS (>= 4.3.0)


See at CRAN