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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:2025-08-22
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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=psborrowto link to this page.


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