mogavs: Multiobjective Genetic Algorithm for Variable Selection in Regression

Tommi Pajala; Pekka Malo; Ankur Sinha; Timo Kuosmanen

mogavs: Multiobjective Genetic Algorithm for Variable Selection in Regression

Tommi Pajala, Pekka Malo, Ankur Sinha, Timo Kuosmanen

Department of Information and Service Management

Research output: Artistic and non-textual form › Software › Scientific

Abstract

Functions for exploring the best subsets in regression with a genetic algorithm. The package is much faster than methods relying on complete enumeration, and is suitable for datasets with large number of variables.

Original language	English
Publisher	The Comprehensive R Archive Network (CRAN)
Publication status	Published - 6 Nov 2015
MoE publication type	I2 ICT applications

Keywords

regression analysis
genetic algorithm
programming languages

Cite this

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title = "mogavs: Multiobjective Genetic Algorithm for Variable Selection in Regression",

abstract = "Functions for exploring the best subsets in regression with a genetic algorithm. The package is much faster than methods relying on complete enumeration, and is suitable for datasets with large number of variables.",

keywords = "regression analysis, genetic algorithm, programming languages",

author = "Tommi Pajala and Pekka Malo and Ankur Sinha and Timo Kuosmanen",

year = "2015",

month = nov,

day = "6",

language = "English",

publisher = "The Comprehensive R Archive Network (CRAN)",

}

TY - ADVS

T1 - mogavs

T2 - Multiobjective Genetic Algorithm for Variable Selection in Regression

AU - Pajala, Tommi

AU - Malo, Pekka

AU - Sinha, Ankur

AU - Kuosmanen, Timo

PY - 2015/11/6

Y1 - 2015/11/6

N2 - Functions for exploring the best subsets in regression with a genetic algorithm. The package is much faster than methods relying on complete enumeration, and is suitable for datasets with large number of variables.

AB - Functions for exploring the best subsets in regression with a genetic algorithm. The package is much faster than methods relying on complete enumeration, and is suitable for datasets with large number of variables.

KW - regression analysis

KW - genetic algorithm

KW - programming languages

UR - https://cran.r-project.org/package=mogavs

M3 - Software

PB - The Comprehensive R Archive Network (CRAN)

ER -

mogavs: Multiobjective Genetic Algorithm for Variable Selection in Regression

Abstract

Keywords

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