postDoubleR: Post Double Selection with Double Machine Learning

Implements post double selection using double machine learning, see Chernozhukov, Chetverikov, Demirer, Duflo, Hansen, Newey, Robins (2017) <doi:10.1111/ectj.12097>, for various models, using several back ends. Allows the user flexibility in specifying their own methods for estimation.

Version: 1.4.12
Imports: glmnet, grf, neuralnet, progress, ggplot2, stats, parallel, doParallel
Suggests: testthat (≥ 2.1.0), knitr, rmarkdown
Published: 2019-10-07
Author: Juraj Szitás [aut, cre]
Maintainer: Juraj Szitás <szitas.juraj13 at>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: postDoubleR results


Reference manual: postDoubleR.pdf
Package source: postDoubleR_1.4.12.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): postDoubleR_1.4.12.tgz, r-release (x86_64): postDoubleR_1.4.12.tgz, r-oldrel: postDoubleR_1.4.12.tgz


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