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BayesPPD  

Bayesian Power Prior Design
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesPPD", "1.1.3")



Attach the package and use:
library("BayesPPD")
Maintained by
Yueqi Shen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-10
Latest Update: 2025-01-13
Description:
Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for generalized linear models. Detailed examples of applying the package are available at . The Bayesian clinical trial design methodology is described in Chen et al. (2011) , and Psioda and Ibrahim (2019) . The normalized power prior is described in Duan et al. (2006) and Ibrahim et al. (2015) .
How to cite:
Yueqi Shen (2021). BayesPPD: Bayesian Power Prior Design. R package version 1.1.3, https://cran.r-project.org/web/packages/BayesPPD. Accessed 07 Oct. 2026.
Previous versions and publish date:
1.0.0 (2021-05-10 09:52), 1.0.1 (2021-07-13 14:00), 1.0.2 (2021-07-20 23:40), 1.0.3 (2021-09-08 19:00), 1.0.4 (2022-01-03 19:50), 1.0.5 (2022-04-17 12:22), 1.0.6 (2022-04-23 10:00), 1.0.7 (2022-08-12 19:20), 1.1.0 (2022-11-12 09:20), 1.1.1 (2023-05-09 04:20), 1.1.2 (2023-11-25 23:50), (2026-07-09 07:58)
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Complete documentation for BayesPPD
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