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bacistool  

Bayesian Classification and Information Sharing (BaCIS) Tool for the Design of Multi-Group Phase II Clinical Trials
View on CRAN: Click here


Download and install bacistool package within the R console
Install from CRAN:
install.packages("bacistool")

Install from Github:
library("remotes")
install_github("cran/bacistool")

Install by package version:
library("remotes")
install_version("bacistool", "1.0.0")



Attach the package and use:
library("bacistool")
Maintained by
J. Jack Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-13
Latest Update: 2020-06-05
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) .
How to cite:
J. Jack Lee (2018). bacistool: Bayesian Classification and Information Sharing (BaCIS) Tool for the Design of Multi-Group Phase II Clinical Trials. R package version 1.0.0, https://cran.r-project.org/web/packages/bacistool. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:20), 0.9.2 (2018-07-13 16:50), 0.9.5 (2018-07-24 23:40), 0.9.6 (2018-08-09 17:00), 0.9.8 (2018-08-24 22:54), 0.9.9 (2019-10-11 00:30)
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Complete documentation for bacistool
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