SL.speedlm: Wrapper for speedlm
In SuperLearner: Super Learner Prediction
SL.speedlm R Documentation
Wrapper for speedlm
Description
Speedlm is a fast version of lm()
Usage
SL.speedlm(Y, X, newX, family, obsWeights, ...)
Arguments
Y
Outcome variable
X
Training dataframe
newX
Test dataframe
family
Gaussian or binomial
obsWeights
Observation-level weights
...
Any remaining arguments, not used.
References
Enea, M. A. R. C. O. (2013). Fitting linear models and generalized linear
models with large data sets in R. Statistical Methods for the Analysis of
Large Datasets: book of short papers, 411-414.
See Also
predict.SL.speedlm speedlm
predict.speedlm SL.speedglm
SuperLearner documentation built on May 29, 2024, 5:25 a.m.
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| SL.speedlm | R Documentation |
Wrapper for speedlm
Description
Speedlm is a fast version of lm()
Usage
SL.speedlm(Y, X, newX, family, obsWeights, ...)
Arguments
Y |
Outcome variable |
X |
Training dataframe |
newX |
Test dataframe |
family |
Gaussian or binomial |
obsWeights |
Observation-level weights |
... |
Any remaining arguments, not used. |
References
Enea, M. A. R. C. O. (2013). Fitting linear models and generalized linear models with large data sets in R. Statistical Methods for the Analysis of Large Datasets: book of short papers, 411-414.
See Also
predict.SL.speedlm speedlm
predict.speedlm SL.speedglm
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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