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: 0.1.0
Depends: R (≥ 3.2)
Imports: rlang, gbm , lmtest , nnet , sandwich, randomForest, caret, ISLR
Published: 2021-04-08
Author: Lixiong Yang [aut], Junchang Zhao [aut, cre]
Maintainer: Junchang Zhao <zhaojch19 at lzu.edu.cn>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: DMLLZU results

Downloads:

Reference manual: DMLLZU.pdf
Package source: DMLLZU_0.1.0.tar.gz
Windows binaries: r-devel: DMLLZU_0.1.0.zip, r-release: DMLLZU_0.1.0.zip, r-oldrel: DMLLZU_0.1.0.zip
macOS binaries: r-release: DMLLZU_0.1.0.tgz, r-oldrel: DMLLZU_0.1.0.tgz

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