SL.grf: SL.grf
In PLUCR: Policy Learning Under Constraint
SL.grf R Documentation
SL.grf
Description
This function trains conditional mean of a target variable for treated and control groups
using SuperLearner, applying cross-validation to compute out-of-fold estimates.
Usage
SL.grf(Y, X, newX, family, obsWeights, ...)
Arguments
Y
outcome variable
X
training dataframe
newX
test dataframe
family
gaussian or binomial
obsWeights
observation-level weights
...
not used
Value
a list containing the predictions and the fitted object
PLUCR documentation built on March 30, 2026, 5:08 p.m.
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| SL.grf | R Documentation |
SL.grf
Description
This function trains conditional mean of a target variable for treated and control groups
using SuperLearner, applying cross-validation to compute out-of-fold estimates.
Usage
SL.grf(Y, X, newX, family, obsWeights, ...)
Arguments
Y |
outcome variable |
X |
training dataframe |
newX |
test dataframe |
family |
gaussian or binomial |
obsWeights |
observation-level weights |
... |
not used |
Value
a list containing the predictions and the fitted object
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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