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: 0.1.0
Depends: R (≥ 3.5.0)
Imports: dplyr, tidyr, data.table, rjags, mvtnorm, matrixcalc, ggplot2, foreach, doParallel, parallel, MatchIt, survival, futile.logger, methods, utils
Suggests: knitr, rmarkdown, testthat
Published: 2021-06-04
Author: Yichen Lu [aut], Aijing Lin [ctb, cre]
Maintainer: Aijing Lin <lina21 at>
License: GPL (≥ 3) | file LICENCE
NeedsCompilation: no
CRAN checks: psborrow results


Reference manual: psborrow.pdf
Vignettes: Dynamic Borrowing with psborrow


Package source: psborrow_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): psborrow_0.1.0.tgz, r-release (x86_64): psborrow_0.1.0.tgz, r-oldrel: psborrow_0.1.0.tgz


Please use the canonical form to link to this page.