SL.lm: Wrapper for lm
In SuperLearner: Super Learner Prediction
SL.lm R Documentation
Wrapper for lm
Description
Wrapper for OLS via lm(), which may be faster than glm().
Usage
SL.lm(Y, X, newX, family, obsWeights, model = TRUE, ...)
Arguments
Y
Outcome variable
X
Training dataframe
newX
Test dataframe
family
Gaussian or binomial
obsWeights
Observation-level weights
model
Whether to save model.matrix of data in fit object. Set to FALSE
to save memory.
...
Any remaining arguments, not used.
See Also
predict.SL.lm lm
predict.lm SL.speedlm
SuperLearner documentation built on Sept. 15, 2026, 1:08 a.m.
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| SL.lm | R Documentation |
Wrapper for lm
Description
Wrapper for OLS via lm(), which may be faster than glm().
Usage
SL.lm(Y, X, newX, family, obsWeights, model = TRUE, ...)
Arguments
Y |
Outcome variable |
X |
Training dataframe |
newX |
Test dataframe |
family |
Gaussian or binomial |
obsWeights |
Observation-level weights |
model |
Whether to save model.matrix of data in fit object. Set to FALSE to save memory. |
... |
Any remaining arguments, not used. |
See Also
predict.SL.lm lm
predict.lm SL.speedlm
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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