# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "borrowr" in publications use:' type: software license: GPL-3.0-or-later title: 'borrowr: Estimate Causal Effects with Borrowing Between Data Sources' version: 0.2.0 doi: 10.32614/CRAN.package.borrowr abstract: 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) . For information on MEMs, see Kaizer, Koopmeiners, & Hobbs (2018) . authors: - family-names: Boatman given-names: Jeffrey A. email: jeffrey.boatman@gmail.com - family-names: Boatman given-names: Jeffrey A. - family-names: Vock given-names: David M. - family-names: Koopmeiners given-names: Joseph S. repository: https://CRAN.R-project.org/package=borrowr date-released: '2020-12-08' contact: - family-names: Boatman given-names: Jeffrey A. email: jeffrey.boatman@gmail.com - family-names: Boatman given-names: Jeffrey A.