Targeted minimum loss-based estimators of counterfactual means and causal effects that are doubly-robust with respect both to consistency and asymptotic normality (van der Laan (2014), <doi:10.1515/ijb-2012-0038>).
| Version: | 1.0.0 |
| Depends: | R (≥ 3.2.0) |
| Imports: | SuperLearner, plyr, np, foreach |
| Suggests: | testthat, knitr, rmarkdown, gam, quadprog, nloptr, doParallel |
| Published: | 2017-08-17 |
| Author: | David Benkeser [aut, cre, cph] |
| Maintainer: | David Benkeser <benkeser at emory.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | drtmle results |
| Reference manual: | drtmle.pdf |
| Vignettes: |
drtmle: Doubly-Robust Inference in R |
| Package source: | drtmle_1.0.0.tar.gz |
| Windows binaries: | r-devel: drtmle_1.0.0.zip, r-release: drtmle_1.0.0.zip, r-oldrel: drtmle_1.0.0.zip |
| OS X El Capitan binaries: | r-release: drtmle_1.0.0.tgz |
| OS X Mavericks binaries: | r-oldrel: drtmle_1.0.0.tgz |
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