Package: borrowr
Type: Package
Title: Estimate Causal Effects with Borrowing Between Data Sources
Version: 0.2.0
Author: Jeffrey A. Boatman [aut, cre], David M. Vock [aut], Joseph S.
        Koopmeiners [aut]
Maintainer: Jeffrey A. Boatman <jeffrey.boatman@gmail.com>
Description: 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>.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: mvtnorm(>= 1.0.8), BART(>= 2.1), Rcpp (>= 1.0.0)
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-06-15 08:56:45 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2020-12-08 11:50:03 UTC
RemoteUrl: https://github.com/cran/borrowr
RemoteRef: HEAD
RemoteSha: 810befe2e68ec21803f894b5855d59b4d9778451