BayesFBHborrow: Bayesian Dynamic Borrowing with Flexible Baseline Hazard Function (original) (raw)
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 |
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