The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Estimate population average treatment effects from a primary data source with borrowing from supplemental sources. Causal estimation is done with either a Bayesian linear model or with Bayesian additive regression trees (BART) to adjust for confounding. Borrowing is done with multisource exchangeability models (MEMs). For information on BART, see Chipman, George, & McCulloch (2010) <doi:10.1214/09-AOAS285>. For information on MEMs, see Kaizer, Koopmeiners, & Hobbs (2018) <doi:10.1093/biostatistics/kxx031>.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | mvtnorm (≥ 1.0.8), BART (≥ 2.1), Rcpp (≥ 1.0.0) |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown, ggplot2 |
| Published: | 2020-12-08 |
| DOI: | 10.32614/CRAN.package.borrowr |
| Author: | Jeffrey A. Boatman [aut, cre], David M. Vock [aut], Joseph S. Koopmeiners [aut] |
| Maintainer: | Jeffrey A. Boatman <jeffrey.boatman at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| Materials: | README |
| In views: | CausalInference |
| CRAN checks: | borrowr results |
| Reference manual: | borrowr.pdf |
| Vignettes: |
Estimating Population Average Treatment Effects with the borrowr Package |
| Package source: | borrowr_0.2.0.tar.gz |
| Windows binaries: | r-devel: borrowr_0.2.0.zip, r-release: borrowr_0.2.0.zip, r-oldrel: borrowr_0.2.0.zip |
| macOS binaries: | r-release (arm64): borrowr_0.2.0.tgz, r-oldrel (arm64): borrowr_0.2.0.tgz, r-release (x86_64): borrowr_0.2.0.tgz, r-oldrel (x86_64): borrowr_0.2.0.tgz |
| Old sources: | borrowr archive |
Please use the canonical form https://CRAN.R-project.org/package=borrowr 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.
Health stats visible at Monitor.