Wrapper for speedglm
Speedglm is a fast version of glm()
SL.speedglm(Y, X, newX, family, obsWeights, maxit = 25, k = 2, ...)
Y |
Outcome variable |
X |
Training dataframe |
newX |
Test dataframe |
family |
Gaussian or binomial |
obsWeights |
Observation-level weights |
maxit |
Maximum number of iterations before stopping. |
k |
numeric, the penalty per parameter to be used; the default k = 2 is the classical AIC. |
... |
Any remaining arguments, not used. |
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.
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