sisal: Sequential Input Selection Algorithm
Version 0.46

Implements the SISAL algorithm by Tikka and Hollmén. It is a sequential backward selection algorithm which uses a linear model in a cross-validation setting. Starting from the full model, one variable at a time is removed based on the regression coefficients. From this set of models, a parsimonious (sparse) model is found by choosing the model with the smallest number of variables among those models where the validation error is smaller than a threshold. Also implements extensions which explore larger parts of the search space and/or use ridge regression instead of ordinary least squares.

Package details

AuthorMikko Korpela [aut, cre]
Date of publication2015-10-10 15:45:32
MaintainerMikko Korpela <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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sisal documentation built on May 29, 2017, 9:09 a.m.