plsmselect
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).
- Version0.2.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release11/24/2019
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Team
Indrayudh Ghosal
Matthias Kormaksson
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- Imports4 packages
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