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transportr  

Transporting Intervention Effects from One Population to Another
View on CRAN: Click here


Download and install transportr package within the R console
Install from CRAN:
install.packages("transportr")

Install from Github:
library("remotes")
install_github("cran/transportr")

Install by package version:
library("remotes")
install_version("transportr", "0.1.0")



Attach the package and use:
library("transportr")
Maintained by
Nicholas Williams
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-20
Latest Update: 2025-02-20
Description:
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.
How to cite:
Nicholas Williams (2025). transportr: Transporting Intervention Effects from One Population to Another. R package version 0.1.0, https://cran.r-project.org/web/packages/transportr. Accessed 29 Jul. 2026.
Previous versions and publish date:
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Complete documentation for transportr
Functions, R codes and Examples using the transportr R package
Full transportr package functions and examples
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