| GARS {GARS} | R Documentation |
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.
See the package vignette, by typing vignette("GARS") to discover
all the GARS_GA functions.
Mattia Chiesa, Giada Maioli, Luca Piacentini