drtmle: Doubly-Robust Nonparametric Estimation and Inference
Targeted minimum loss-based estimators of counterfactual means and causal effects that are doubly-robust with respect both to consistency and asymptotic normality (Benkeser et al (2017), <doi:10.1093/biomet/asx053>; MJ van der Laan (2014), <doi:10.1515/ijb-2012-0038>).
| Version: | 1.1.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | SuperLearner,np,future.apply |
| Suggests: | testthat,knitr,rmarkdown,gam,quadprog,nloptr, parallel,foreach,stringi |
| Published: | 2023-01-05 |
| DOI: | 10.32614/CRAN.package.drtmle |
| Author: | David Benkeser [aut, cre, cph], Nima Hejazi [ctb] |
| Maintainer: | David Benkeser <benkeser at emory.edu> |
| BugReports: | https://github.com/benkeser/drtmle/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/benkeser/drtmle |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | CausalInference |
| CRAN checks: | drtmle results |
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