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BayesDIP  

Bayesian Decreasingly Informative Priors for Early Termination Phase II Trials
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesDIP", "0.1.1")



Attach the package and use:
library("BayesDIP")
Maintained by
Chen Wang
[Scholar Profile | Author Map]
First Published: 2023-02-02
Latest Update: 2023-02-02
Description:
Provide early termination phase II trial designs with a decreasingly informative prior (DIP) or a regular Bayesian prior chosen by the user. The program can determine the minimum planned sample size necessary to achieve the user-specified admissible designs. The program can also perform power and expected sample size calculations for the tests in early termination Phase II trials. See Wang C and Sabo RT (2022) ; Sabo RT (2014) .
How to cite:
Chen Wang (2023). BayesDIP: Bayesian Decreasingly Informative Priors for Early Termination Phase II Trials. R package version 0.1.1, https://cran.r-project.org/web/packages/BayesDIP. Accessed 13 Apr. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for BayesDIP
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