plsmselect

Linear and Smooth Predictor Modelling with Penalisation and Variable Selection

CRAN Package

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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  • Imports4 packages
  • Suggests4 packages