plrFit: Wrapper for Partially Linear Model
In apoorvalal/dmlUtils: Utilities for DoubleML
plrFit R Documentation
Wrapper for Partially Linear Model
Description
Wrapper for Partially Linear Model
Usage
plrFit(dat, outcomeMod, pscoreMod, nf = 3)
Arguments
dat
A DoubleMLData object initialised using using DoubleMLData$new
outcomeMod
A mlr3 learner object for the outcome model
pscoreMod
A mlr3 learner object for the treatment model
nf
Number of folds for cross-fitting
Value
list with (estimate, SE, outcome RMSE, treatment RMSE, treatment Classification Error)
References
Bach, P., V. Chernozhukov, M. S. Kurz, and M. Spindler. (2021):
“DoubleML – An Object-Oriented Implementation of Double Machine Learning
in R,” arXiv stat.ML,.
apoorvalal/dmlUtils documentation built on May 18, 2022, 12:35 a.m.
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| plrFit | R Documentation |
Wrapper for Partially Linear Model
Description
Wrapper for Partially Linear Model
Usage
plrFit(dat, outcomeMod, pscoreMod, nf = 3)
Arguments
dat |
A DoubleMLData object initialised using using |
outcomeMod |
A mlr3 learner object for the outcome model |
pscoreMod |
A mlr3 learner object for the treatment model |
nf |
Number of folds for cross-fitting |
Value
list with (estimate, SE, outcome RMSE, treatment RMSE, treatment Classification Error)
References
Bach, P., V. Chernozhukov, M. S. Kurz, and M. Spindler. (2021): “DoubleML – An Object-Oriented Implementation of Double Machine Learning in R,” arXiv stat.ML,.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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