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lmSubsets  

Exact Variable-Subset Selection in Linear Regression
View on CRAN: Click here


Download and install lmSubsets package within the R console
Install from CRAN:
install.packages("lmSubsets")

Install from Github:
library("remotes")
install_github("cran/lmSubsets")

Install by package version:
library("remotes")
install_version("lmSubsets", "0.5-2")



Attach the package and use:
library("lmSubsets")
Maintained by
Marc Hofmann
[Scholar Profile | Author Map]
First Published: 2018-03-22
Latest Update: 2021-02-07
Description:
Exact and approximation algorithms for variable-subset selection in ordinary linear regression models. Either compute all submodels with the lowest residual sum of squares, or determine the single-best submodel according to a pre-determined statistical criterion. Hofmann et al. (2020) .
How to cite:
Marc Hofmann (2018). lmSubsets: Exact Variable-Subset Selection in Linear Regression. R package version 0.5-2, https://cran.r-project.org/web/packages/lmSubsets. Accessed 06 Apr. 2025.
Previous versions and publish date:
0.1 (2018-03-22 23:23), 0.2 (2018-04-20 16:35), 0.3 (2018-05-01 16:56), 0.4 (2019-03-07 15:50), 0.5-1 (2020-05-23 18:50), 0.5 (2020-04-28 15:00)
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View lmSubsets citation profile
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Complete documentation for lmSubsets
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