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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 + file LICENSE |
URL: | https://github.com/benkeser/drtmle |
NeedsCompilation: | no |
Materials: | NEWS |
In views: | CausalInference |
CRAN checks: | drtmle results |
Reference manual: | drtmle.pdf |
Vignettes: |
'drtmle': Doubly-Robust Inference in R |
Package source: | drtmle_1.1.2.tar.gz |
Windows binaries: | r-devel: drtmle_1.1.2.zip, r-release: drtmle_1.1.2.zip, r-oldrel: drtmle_1.1.2.zip |
macOS binaries: | r-release (arm64): drtmle_1.1.2.tgz, r-oldrel (arm64): drtmle_1.1.2.tgz, r-release (x86_64): drtmle_1.1.2.tgz, r-oldrel (x86_64): drtmle_1.1.2.tgz |
Old sources: | drtmle archive |
Reverse imports: | biotmle |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.