LIC (version 0.0.2)

The LIC Criterion for Optimal Subset Selection

Description

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. The philosophy of the package is described in Guo G. (2022) .

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Version

Install

install.packages('LIC')

Monthly Downloads

200

Version

0.0.2

License

MIT + file LICENSE

Maintainer

Guangbao Guo

Last Published

March 28th, 2022

Functions in LIC (0.0.2)

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.

gt2015

Gas turbine NOx emission

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.

Opt2

The Opt2 chooses the optimal index subset based on maximized information sub-matrix.

estate

Real estate valuation

Opt1

The Opt1 chooses the optimal index subset based on minimized interval length.

airfoil

Airfoil self-noise