bpp: Computations Around Bayesian Predictive Power

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.

Version:	1.0.4
Depends:	mvtnorm, R (≥ 2.10)
Suggests:	knitr, rmarkdown
Published:	2022-01-13
Author:	Kaspar Rufibach, Paul Jordan, Markus Abt
Maintainer:	Kaspar Rufibach <kaspar.rufibach at roche.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	bpp results

Documentation:

Reference manual:	bpp.pdf
Vignettes:	Sequentially updating the likelihood of success of a Phase 3 pivotal time-to-event trial based on interim analyses or external information

Downloads:

Package source:	bpp_1.0.4.tar.gz
Windows binaries:	r-devel: bpp_1.0.4.zip, r-release: bpp_1.0.4.zip, r-oldrel: bpp_1.0.4.zip
macOS binaries:	r-release (arm64): bpp_1.0.4.tgz, r-oldrel (arm64): bpp_1.0.4.tgz, r-release (x86_64): bpp_1.0.4.tgz, r-oldrel (x86_64): bpp_1.0.4.tgz
Old sources:	bpp archive

Linking:

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