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.
Version: 0.1.0 Imports: checkmate, cli, generics, ife, mlr3superlearner, origami, R6 Suggests: ranger, testthat (≥ 3.0.0) Published: 2025-02-20 DOI: 10.32614/CRAN.package.transportr Author: Nicholas Williams [aut, cre, cph], Kara Rudolph [aut, cph] Maintainer: Nicholas Williams <ntwilliams.personal at gmail.com> BugReports: https://github.com/nt-williams/transportr/issues License: GPL (≥ 3) URL: https://github.com/nt-williams/transportr NeedsCompilation: no Materials: README, NEWS CRAN checks: transportr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=transportr to link to this page.
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