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: |
1.0.5 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
SuperLearner, np, future, doFuture, future.apply, future.batchtools |
| Suggests: |
testthat, knitr, rmarkdown, gam, earth, quadprog, nloptr, parallel, foreach, stringi |
| Published: |
2020-01-09 |
| 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 + file LICENSE |
| URL: |
https://github.com/benkeser/drtmle |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
drtmle results |