GARS: GARS package for a robust feature selection of...
In BioinfoMonzino/GARS: GARS: Genetic Algorithm for the identification of Robust Subsets of variables in high-dimensional and challenging datasets
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
BioinfoMonzino/GARS documentation built on Aug. 2, 2021, 1:08 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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