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  4. lmSubsets: Exact Variable-Subset Selection in Linear Regression for R
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lmSubsets: Exact Variable-Subset Selection in Linear Regression for R

File(s)
Journal
Journal of Statistical Software
Date Issued
April 2020
Author(s)
Hofmann, Marc  
Gatu, Cristian  
Kontoghiorghes, Erricos John  
Colubi, Ana  
Zeileis, Achim  
DOI
10.18637/jss.v093.i03
Abstract
An R package for computing the all-subsets regression problem is presented. The proposed algorithms are based on computational strategies recently developed. A novel algorithm for the best-subset regression problem selects subset models based on a pre-determined criterion. The package user can choose from exact and from approximation algorithms. The core of the package is written in C++ and provides an efficient implementation of all the underlying numerical computations. A case study and benchmark results illustrate the usage and the computational efficiency of the package.
Subjects

Best-subset regressio...

Linear regression

Model selection

R

Variable selection

File(s)
Thumbnail Image
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lmSubsets_0.5.tar.gz

Size

1.06 MB

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Unknown

Checksum (MD5)

746bf5a15b047fe2537ca8859cc2b08d

Thumbnail Image
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v93i03.pdf

Size

512.66 KB

Format

Adobe PDF

Checksum (MD5)

3eb49e0a5dfda92baa1522e3b767af24

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