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DoubleML
View on CRAN: Click
here
Download and install DoubleML package within the R console
Install from CRAN:
install.packages("DoubleML")
Install from Github:
library("remotes")
install_github("cran/DoubleML")
Install by package version:
library("remotes")
install_version("DoubleML", "1.0.0")
Attach the package and use:
library("DoubleML")
Maintained by
Philipp Bach
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-12-16
Latest Update: 2023-03-31
Description:
Implementation of the double/debiased machine learning framework of
Chernozhukov et al. (2018) for partially linear
regression models, partially linear instrumental variable regression models,
interactive regression models and interactive instrumental variable
regression models. 'DoubleML' allows estimation of the nuisance parts in
these models by machine learning methods and computation of the Neyman
orthogonal score functions. 'DoubleML' is built on top of 'mlr3' and the
'mlr3' ecosystem. The object-oriented implementation of 'DoubleML' based on
the 'R6' package is very flexible. More information available in the
publication in the Journal of Statistical Software: .
How to cite:
Philipp Bach (2020). DoubleML: Double Machine Learning in R. R package version 1.0.0, https://cran.r-project.org/web/packages/DoubleML
Previous versions and publish date:
0.1.1 (2020-12-16 11:30), 0.1.2 (2021-01-25 12:20), 0.2.0 (2021-03-05 18:30), 0.2.1 (2021-03-14 17:50), 0.3.0 (2021-06-04 12:10), 0.3.1 (2021-08-02 16:30), 0.4.0 (2021-10-14 11:00), 0.4.1 (2021-10-26 16:00), 0.5.0 (2022-06-14 12:00), 0.5.1 (2022-08-19 13:50), 0.5.2 (2022-11-24 00:50), 0.5.3 (2023-03-31 12:30)
Other packages that cited DoubleML R package
View DoubleML citation profile
Other R packages that DoubleML depends,
imports, suggests or enhances
Functions, R codes and Examples using
the DoubleML R package
Some associated functions: DoubleML . DoubleMLClusterData . DoubleMLData . DoubleMLIIVM . DoubleMLIRM . DoubleMLPLIV . DoubleMLPLR . double_ml_data_from_data_frame . double_ml_data_from_matrix . fetch_401k . fetch_bonus . make_iivm_data . make_irm_data . make_pliv_CHS2015 . make_pliv_multiway_cluster_CKMS2021 . make_plr_CCDDHNR2018 . make_plr_turrell2018 .
Some associated R codes: datasets.R . double_ml.R . double_ml_data.R . double_ml_iivm.R . double_ml_irm.R . double_ml_pliv.R . double_ml_plr.R . helper.R . zzz.R . Full DoubleML package functions and examples
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