plsmselect
Linear and Smooth Predictor Modelling with Penalisation and Variable Selection
v0.2.0
·
Nov 24, 2019
·
GPL-2
Description
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).
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| r-release-windows-x86_64 | OK |