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 |
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