Bayesian Dynamic Borrowing with Propensity Score
Overview
A tool which aims to help evaluate the effect of external borrowing using an integrated approach described in Lewis et al., (2019) doi:10.1080/19466315.2018.1497533 that combines propensity score and Bayesian dynamic borrowing methods.
- Change deprecated arguments in ggplot2 calls.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-04-10
Show 2 earlier changesHide 2 earlier changes
- ERROR13 OK, 1 ERROR2026-04-09
- OK14 OK2026-03-10
Documentation
- Help pages
- 31 (4 internal)
- Examples that run
- 78%7 run in a plain check · 2 hold no code
- Exported functions with examples
- 47%
- Documented parameters
- 100%
- Return-value docs
- 94%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing psborrow adds 40 packages (17 with compiled code, 27 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, Rcpp 1.8 MB.
Code & Tests
People & History
Previously maintained by Craig Gower-Page (0.2.0) and Aijing Lin (0.1.0).
Package metadata
- First published
- 2021-06-04
- Total releases
- 6 / 5 yrs
- License
- Apache License (>= 2) · relicensed from GPL (>= 3) | file LICENCE in 0.2.0
- Minimum R
- ≥ 3.5.0
- Download size
- 239 KB
Cite
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Run in R for the authors' preferred citation:
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