DMLLZU: Double Machine Learning

Yang(2020,<doi:10.1016/j.jeconom.2020.01.018>) come up with Double Machine Learning model ,it is based on this model, using four machine learning methods– bagging, Boosting, random forest and neural network, and then based on the four models for two different combinations of the integrated model – linear model combination and random forest .

Version: 0.1.1
Depends: R (≥ 3.2)
Imports: rlang, gbm , lmtest , nnet , sandwich, randomForest, caret, ISLR
Published: 2021-05-21
Author: Lixiong Yang [aut], Junchang Zhao [aut, cre]
Maintainer: Junchang Zhao <zhaojch19 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: DMLLZU results


Reference manual: DMLLZU.pdf


Package source: DMLLZU_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): DMLLZU_0.1.1.tgz, r-oldrel (arm64): DMLLZU_0.1.1.tgz, r-release (x86_64): DMLLZU_0.1.1.tgz
Old sources: DMLLZU archive


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