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bpp
View on CRAN: Click
here
Download and install bpp package within the R console
Install from CRAN:
install.packages("bpp")
Install from Github:
library("remotes")
install_github("cran/bpp") Install by package version:
library("remotes")
install_version("bpp", "1.0.6") Attach the package and use:
library("bpp")
Maintained by
Kaspar Rufibach
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-13
Latest Update: 2025-02-22
Description:
Implements functions to update Bayesian Predictive Power Computations after not stopping a clinical trial at an interim analysis. Such an interim analysis can either be blinded or unblinded. Code is provided for Normally distributed endpoints with known variance, with a prominent example being the hazard ratio.
How to cite:
Kaspar Rufibach (2016). bpp: Computations Around Bayesian Predictive Power. R package version 1.0.6, https://cran.r-project.org/web/packages/bpp. Accessed 25 Jun. 2026.
Previous versions and publish date:
Other packages that cited bpp R package
View bpp citation profile
Other R packages that bpp depends,
imports, suggests or enhances
Complete documentation for bpp
Functions, R codes and Examples using
the bpp R package
Some associated functions: FlatNormalPosterior . NormalNormalPosterior . UniformNormalTails . basicPlot . bpp-package . bpp . bpp_1interim . bpp_1interim_binary . bpp_1interim_continuous . bpp_1interim_t2e . bpp_2interim . bpp_binary . bpp_continuous . bpp_t2e . estimate_posterior . estimate_posterior_nominator . estimate_toIntegrate . interval_posterior_nominator . interval_posterior_nominator2 . interval_toIntegrate . interval_toIntegrate2 . post_power .
Some associated R codes: Full bpp package functions and examples
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