psborrow: Bayesian Dynamic Borrowing with Propensity Score

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.

Version: 0.2.4
Depends: R (≥ 3.5.0)
Imports: dplyr, data.table, rjags, mvtnorm, ggplot2, foreach, doParallel, parallel, MatchIt, survival, futile.logger, methods
Suggests: knitr, rmarkdown, testthat, Matrix, assertthat, pkgload, flexsurv, R.rsp
Published: 2025年08月22日
DOI: 10.32614/CRAN.package.psborrow
Author: Isaac Gravestock [cre, ctb], Craig Gower-Page [aut], Matt Secrest [ctb], Yichen Lu [aut], Aijing Lin [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Isaac Gravestock <isaac.gravestock at roche.com>
License: Apache License (≥ 2)
NeedsCompilation: no
Materials: NEWS
CRAN checks: psborrow results

Documentation:

Reference manual: psborrow.html , psborrow.pdf
Vignettes: Analysing data with psborrow (source)
User Guide: Dynamic Borrowing with psborrow (source)

Downloads:

Package source: psborrow_0.2.4.tar.gz
Windows binaries: r-devel: psborrow_0.2.4.zip, r-release: psborrow_0.2.4.zip, r-oldrel: psborrow_0.2.4.zip
macOS binaries: r-release (arm64): psborrow_0.2.4.tgz, r-oldrel (arm64): psborrow_0.2.4.tgz, r-release (x86_64): psborrow_0.2.4.tgz, r-oldrel (x86_64): psborrow_0.2.4.tgz
Old sources: psborrow archive

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