The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Implementation of the double/debiased machine learning framework of Chernozhukov et al. (2018) <doi:10.1111/ectj.12097> 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: <doi:10.18637/jss.v108.i03>.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | R6 (≥ 2.4.1), data.table (≥ 1.12.8), stats, checkmate, mlr3 (≥ 0.5.0), mlr3tuning (≥ 0.3.0), mvtnorm, utils, clusterGeneration, readstata13, mlr3learners (≥ 0.3.0), mlr3misc |
| Suggests: | knitr, rmarkdown, testthat, covr, patrick (≥ 0.1.0), paradox (≥ 0.4.0), dplyr, glmnet, lgr, ranger, sandwich, AER, rpart, bbotk, mlr3pipelines |
| Published: | 2024-06-05 |
| DOI: | 10.32614/CRAN.package.DoubleML |
| Author: | Philipp Bach [aut, cre], Victor Chernozhukov [aut], Malte S. Kurz [aut], Martin Spindler [aut], Klaassen Sven [aut] |
| Maintainer: | Philipp Bach <philipp.bach at uni-hamburg.de> |
| BugReports: | https://github.com/DoubleML/doubleml-for-r/issues |
| License: | MIT + file LICENSE |
| URL: | https://docs.doubleml.org/stable/index.html, https://github.com/DoubleML/doubleml-for-r/ |
| NeedsCompilation: | no |
| Citation: | DoubleML citation info |
| Materials: | README |
| In views: | CausalInference, Econometrics, MachineLearning |
| CRAN checks: | DoubleML results |
| Reference manual: | DoubleML.pdf |
| Vignettes: |
DoubleML - An Object-Oriented Implementation of Double Machine Learning in R Getting Started with DoubleML Installing DoubleML |
| Package source: | DoubleML_1.0.1.tar.gz |
| Windows binaries: | r-devel: DoubleML_1.0.1.zip, r-release: DoubleML_1.0.1.zip, r-oldrel: DoubleML_1.0.1.zip |
| macOS binaries: | r-release (arm64): DoubleML_1.0.1.tgz, r-oldrel (arm64): DoubleML_1.0.1.tgz, r-release (x86_64): DoubleML_1.0.1.tgz, r-oldrel (x86_64): DoubleML_1.0.1.tgz |
| Old sources: | DoubleML archive |
| Reverse suggests: | drape, gKRLS |
Please use the canonical form https://CRAN.R-project.org/package=DoubleML to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.