Fit a model with potentially many linear and smooth predictors. Interaction effects can also be quantified. Variable selection is done using penalisation. For l1-type penalties we use iterative steps alternating between using linear predictors (lasso) and smooth predictors (generalised additive model).
|Author||Indrayudh Ghosal [aut, cre], Matthias Kormaksson [aut]|
|Maintainer||Indrayudh Ghosal <[email protected]>|
|Package repository||View on CRAN|
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