drtmle: Doubly-Robust Nonparametric Estimation and Inference (original) (raw)
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 |
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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 |
Maintainer: | David Benkeser |
BugReports: | https://github.com/benkeser/drtmle/issues |
License: | MIT + file |
URL: | https://github.com/benkeser/drtmle |
NeedsCompilation: | no |
Materials: | NEWS |
In views: | CausalInference |
CRAN checks: | drtmle results |
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