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BayesPPDSurv  

Bayesian Power Prior Design for Survival Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesPPDSurv", "1.0.3")



Attach the package and use:
library("BayesPPDSurv")
Maintained by
Yueqi Shen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-10
Latest Update: 2024-04-09
Description:
Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for proportional hazards models with piecewise constant hazard. The methodology and examples of applying the package are detailed in . The Bayesian clinical trial design methodology is described in Chen et al. (2011) , and Psioda and Ibrahim (2019) . The proportional hazards model with piecewise constant hazard is detailed in Ibrahim et al. (2001) .
How to cite:
Yueqi Shen (2024). BayesPPDSurv: Bayesian Power Prior Design for Survival Data. R package version 1.0.3, https://cran.r-project.org/web/packages/BayesPPDSurv. Accessed 10 Jun. 2026.
Previous versions and publish date:
1.0.0 (2024-01-10 21:03), 1.0.2 (2024-02-24 17:20)
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Complete documentation for BayesPPDSurv
Functions, R codes and Examples using the BayesPPDSurv R package
Full BayesPPDSurv package functions and examples
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