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DMLLZU  

Double Machine Learning
View on CRAN: Click here


Download and install DMLLZU package within the R console
Install from CRAN:
install.packages("DMLLZU")

Install from Github:
library("remotes")
install_github("cran/DMLLZU")

Install by package version:
library("remotes")
install_version("DMLLZU", "0.1.1")



Attach the package and use:
library("DMLLZU")
Maintained by
Junchang Zhao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-08
Latest Update: 2021-05-21
Description:
Yang(2020,) 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 .
How to cite:
Junchang Zhao (2021). DMLLZU: Double Machine Learning. R package version 0.1.1, https://cran.r-project.org/web/packages/DMLLZU. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2021-04-08 13:30), 0.1.1 (2021-05-21 14:12)
Other packages that cited DMLLZU R package
View DMLLZU citation profile
Other R packages that DMLLZU depends, imports, suggests or enhances
Functions, R codes and Examples using the DMLLZU R package
Some associated functions: dml_bagging . dml_boosting . dml_ensemble_lm . dml_ensemble_rf . dml_neural_network . dml_random_forest . 
Some associated R codes: DML.R .  Full DMLLZU package functions and examples
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