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transportr: Transporting Intervention Effects from One Population to Another
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:
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https://CRAN.R-project.org/package=transportr
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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.
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