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bacistool
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]
[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
Previous versions and publish date:
Other packages that cited bacistool R package
View bacistool citation profile
Other R packages that bacistool depends,
imports, suggests or enhances
Functions, R codes and Examples using
the bacistool R package
Some associated functions: bacisCheckDIC . bacisClassification . bacisOneTrial . bacisPlotClassification . bacisSubgroupPosterior . bacisThetaPosterior .
Some associated R codes: bacisCheckDIC.R . bacisClassification.R . bacisOneTrial.R . bacisPlotClassification.R . bacisSubgroupPosterior.R . bacisThetaPosterior.R . internal.R . Full bacistool package functions and examples
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