Package: transportr 0.1.0
Nicholas Williams
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.
Authors:
transportr_0.1.0.tar.gz
transportr_0.1.0.tar.gz(r-4.5-noble)transportr_0.1.0.tar.gz(r-4.4-noble)
transportr_0.1.0.tgz(r-4.4-emscripten)transportr_0.1.0.tgz(r-4.3-emscripten)
transportr.pdf |transportr.html✨
transportr/json (API)
NEWS
| # Install 'transportr' in R: |
| install.packages('transportr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nt-williams/transportr/issues
Last updated 3 days agofrom:054c356813. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 20 2025 |
| R-4.5-linux | OK | Feb 20 2025 |
Exports:tidytransport_atetransport_controltransport_ittate
Dependencies:abindassertthatbackportscheckmateclicodetoolsdata.tabledigestevaluateforeachfuturefuture.applygenericsglmnetglobalsglueifeiteratorslatticelgrlifecyclelistenvmagrittrMatrixmlbenchmlr3mlr3learnersmlr3measuresmlr3miscmlr3superlearnerorigamipalmerpenguinsparadoxparallellyPRROCpurrrR6RcppRcppEigenrlangS7shapesurvivaluuidvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Transported Average Treatment Effect | transport_ate |
| Set Estimation Parameters | transport_control |
| Transported Intent-to-Treat Average Treatment Effect | transport_ittate |
