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: 1.0.3
Depends: R (≥ 3.2.0)
Imports: SuperLearner, plyr, np, future, doFuture, future.apply, future.batchtools
Suggests: testthat, knitr, rmarkdown, gam, earth, quadprog, nloptr, parallel, snow, foreach
Published: 2018-07-02
Author: David Benkeser ORCID iD [aut, cre, cph], Nima Hejazi ORCID iD [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


Reference manual: drtmle.pdf
Vignettes: drtmle: Doubly-Robust Inference in R
Package source: drtmle_1.0.3.tar.gz
Windows binaries: r-devel: drtmle_1.0.3.zip, r-release: drtmle_1.0.3.zip, r-oldrel: drtmle_1.0.3.zip
OS X binaries: r-release: drtmle_1.0.3.tgz, r-oldrel: drtmle_1.0.3.tgz
Old sources: drtmle archive


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