plsmselect (0.2.0)

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Linear and Smooth Predictor Modelling with Penalisation and Variable Selection.

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).

Maintainer: Indrayudh Ghosal
Author(s): Indrayudh Ghosal [aut, cre], Matthias Kormaksson [aut]

License: GPL-2

Uses: dplyr, glmnet, mgcv, survival, knitr, rmarkdown, purrr, kableExtra

Released 4 months ago.

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