GARS {GARS}R Documentation

GARS package for a robust feature selection of high-dimensional data

Description

The main function of GARS is GARS_GA, which implements a clustering-based Genetic Algorithm to select Robust Subsets of features in high-dimensional datasets. The user can extract the results of GARS_GA, exploiting the assessor methods: MatrixFeatures, LastPop, AllPop and FitScore.

Details

See the package vignette, by typing vignette("GARS") to discover all the GARS_GA functions.

Author(s)

Mattia Chiesa, Giada Maioli, Luca Piacentini


[Package GARS version 1.14.0 Index]