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: 0.2.1
Depends: R (≥ 3.5.0)
Imports: dplyr, data.table, rjags, mvtnorm, ggplot2 (≥ 3.2.0), foreach, doParallel, parallel, MatchIt, survival, futile.logger, methods
Suggests: knitr, rmarkdown, testthat, Matrix, assertthat, pkgload, flexsurv, R.rsp
Published: 2023-03-03
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>
License: Apache License (≥ 2)
NeedsCompilation: no
Materials: NEWS
CRAN checks: psborrow results


Reference manual: psborrow.pdf
Vignettes: Analysing data with psborrow
User Guide: Dynamic Borrowing with psborrow


Package source: psborrow_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): psborrow_0.2.1.tgz, r-oldrel (arm64): psborrow_0.2.1.tgz, r-release (x86_64): psborrow_0.2.1.tgz, r-oldrel (x86_64): psborrow_0.2.1.tgz
Old sources: psborrow archive


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