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 lzu.edu.cn> |
| 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: DMLLZU_0.1.1.zip, r-release: DMLLZU_0.1.1.zip, r-oldrel: DMLLZU_0.1.1.zip |
| 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, r-oldrel (x86_64): DMLLZU_0.1.1.tgz |
| Old sources: | DMLLZU archive |
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