bacistool

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.

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Description file content

Package
bacistool
Type
Package
Title
Bayesian Classification and Information Sharing (BaCIS) Tool for the Design of Multi-Group Phase II Clinical Trials
Version
0.9.8
Author
Nan Chen and J. Jack Lee
Maintainer
Nan Chen
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.
Depends
R (>= 3.3.0)
SystemRequirements
JAGS (>= 4.3.0)
Imports
rjags
License
GNU General Public License (>= 3)
Encoding
UTF-8
LazyData
true
RoxygenNote
5.0.1
NeedsCompilation
no
Packaged
2018-08-24 20:37:22 UTC; NChen2
Repository
CRAN
Date/Publication
2018-08-24 20:54:28 UTC

install.packages('bacistool')

0.9.8

3 months ago

Nan Chen

GNU General Public License (>= 3)

Depends on

R (>= 3.3.0)

Imports

rjags

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