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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: 0.2.1
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 roche.com>
License: Apache License (≥ 2)
NeedsCompilation: no
Materials: NEWS
CRAN checks: psborrow results

Documentation:

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

Downloads:

Package source: psborrow_0.2.1.tar.gz
Windows binaries: r-devel: psborrow_0.2.1.zip, r-release: psborrow_0.2.1.zip, r-oldrel: psborrow_0.2.1.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=psborrow to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.