Transporting Intervention Effects from One Population to Another R package transportr version 0.1.0 Doubly-robust, non-parametric estimators for the transported average treatment effect from Rudolph, Williams, Stuart, and Diaz (2023) <doi:10.48550/arXiv.2304.00117> and the intent-to-treatment average treatment effect from Rudolph and van der Laan (2017) <doi:10.1111/rssb.12213>. Estimators are fit using cross-fitting and nuisance parameters are estimated using the Super Learner algorithm. Software Imports: checkmate, cli, generics, ife, mlr3superlearner, origami, R6 Suggests: ranger, testthat (>= 3.0.0) Nicholas Williams <ntwilliams.personal@gmail.com> Comprehensive R Archive Network (CRAN) Nicholas Williams [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-1378-4831>), Kara Rudolph [aut, cph] (ORCID: <https://orcid.org/0000-0002-9417-7960>) GPL (>= 3) 2025-02-20 application/tgz https://CRAN.R-project.org/package=transportr doi:10.32614/CRAN.package.transportr