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-devel-linux-x86_64-debian-gcc | OK |
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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
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