BayesFBHborrow: Bayesian Dynamic Borrowing with Flexible Baseline Hazard Function

Allows Bayesian borrowing from a historical dataset for time-to- event data. A flexible baseline hazard function is achieved via a piecewise exponential likelihood with time varying split points and smoothing prior on the historic baseline hazards. The method is described in Scott and Lewin (2024) <doi:10.48550/arXiv.2401.06082>, and the software paper is in Axillus et al. (2024) <doi:10.48550/arXiv.2408.04327>.

Version:	2.0.2
Depends:	R (≥ 4.1)
Imports:	dplyr, stats, survival, invgamma, mvtnorm, checkmate, magrittr, ggplot2
Suggests:	tibble, readxl, testthat (≥ 3.0.0), rmarkdown, ggfortify, condSURV
Published:	2024-09-16
DOI:	10.32614/CRAN.package.BayesFBHborrow
Author:	Darren Scott [aut, cre], Sophia Axillus [aut]
Maintainer:	Darren Scott <darren.scott at astrazeneca.com>
License:	Apache License (≥ 2)
NeedsCompilation:	no
CRAN checks:	BayesFBHborrow results

Documentation:

Reference manual:

BayesFBHborrow.pdf

Downloads:

Package source:	BayesFBHborrow_2.0.2.tar.gz
Windows binaries:	r-devel: BayesFBHborrow_2.0.2.zip, r-release: BayesFBHborrow_2.0.2.zip, r-oldrel: BayesFBHborrow_2.0.2.zip
macOS binaries:	r-devel (arm64): BayesFBHborrow_2.0.2.tgz, r-release (arm64): BayesFBHborrow_2.0.2.tgz, r-oldrel (arm64): BayesFBHborrow_2.0.2.tgz, r-devel (x86_64): BayesFBHborrow_2.0.2.tgz, r-release (x86_64): BayesFBHborrow_2.0.2.tgz, r-oldrel (x86_64): BayesFBHborrow_2.0.2.tgz
Old sources:	BayesFBHborrow archive

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