The LIC Criterion for Optimal Subset Selection


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Documentation for package ‘LIC’ version 0.0.2

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LIC The LIC criterion is to determine the most informative subsets so that the subset can retain most of the information contained in the complete data.
Opt1 The Opt1 chooses the optimal index subset based on minimized interval length.
Opt2 The Opt2 chooses the optimal index subset based on maximized information sub-matrix.
OSA The OSA gives a simple average estimatoris by averaging all these least squares estimators.
OSM The OSM is a median processing method for the central processor.