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:	1.1.1
Depends:	R (≥ 3.5.0)
Imports:	SuperLearner, np, future.apply
Suggests:	testthat, knitr, rmarkdown, gam, quadprog, nloptr, parallel, foreach, stringi
Published:	2022-04-23
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

Documentation:

Reference manual:	drtmle.pdf
Vignettes:	'drtmle': Doubly-Robust Inference in R

Downloads:

Package source:	drtmle_1.1.1.tar.gz
Windows binaries:	r-devel: drtmle_1.1.1.zip, r-release: drtmle_1.1.1.zip, r-oldrel: drtmle_1.1.1.zip
macOS binaries:	r-release (arm64): drtmle_1.1.1.tgz, r-oldrel (arm64): drtmle_1.1.1.tgz, r-release (x86_64): drtmle_1.1.1.tgz, r-oldrel (x86_64): drtmle_1.1.1.tgz
Old sources:	drtmle archive

Reverse dependencies:

Reverse imports:

biotmle

Linking:

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