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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).
Package details |
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Author | Indrayudh Ghosal [aut, cre], Matthias Kormaksson [aut] |
Maintainer | Indrayudh Ghosal <ig248@cornell.edu> |
License | GPL-2 |
Version | 0.2.0 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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