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: | 0.2.0 |
| 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: | 2022-05-16 |
| Author: | Craig Gower-Page [cre], Matt Secrest [ctb], Yichen Lu [aut], Aijing Lin [aut], F. Hoffmann-La Roche AG [cph, fnd] |
| Maintainer: | Craig Gower-Page <craig.gower-page at roche.com> |
| 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_0.2.0.tar.gz |
| Windows binaries: | r-devel: psborrow_0.2.0.zip, r-release: psborrow_0.2.0.zip, r-oldrel: psborrow_0.2.0.zip |
| macOS binaries: | r-release (arm64): psborrow_0.2.0.tgz, r-oldrel (arm64): psborrow_0.2.0.tgz, r-release (x86_64): psborrow_0.2.0.tgz, r-oldrel (x86_64): psborrow_0.2.0.tgz |
| Old sources: | psborrow archive |
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