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grpsel  

Group Subset Selection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("grpsel", "1.3.2")



Attach the package and use:
library("grpsel")
Maintained by
Ryan Thompson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-21
Latest Update: 2024-11-28
Description:
Provides tools for sparse regression modelling with grouped predictors using the group subset selection penalty. Uses coordinate descent and local search algorithms to rapidly deliver near optimal estimates. The group subset penalty can be combined with a group lasso or ridge penalty for added shrinkage. Linear and logistic regression are supported, as are overlapping groups.
How to cite:
Ryan Thompson (2021). grpsel: Group Subset Selection. R package version 1.3.2, https://cran.r-project.org/web/packages/grpsel. Accessed 25 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:46), 1.0.0 (2021-04-21 09:50), 1.1.0 (2021-06-29 09:00), 1.1.1 (2021-07-13 14:00), 1.2.0 (2022-01-10 13:32), 1.3.0 (2022-06-18 09:10), 1.3.1 (2022-09-07 09:50)
Other packages that cited grpsel R package
View grpsel citation profile
Other R packages that grpsel depends, imports, suggests or enhances
Complete documentation for grpsel
Functions, R codes and Examples using the grpsel R package
Some associated functions: coef.cv.grpsel . coef.grpsel . cv.grpsel . grpsel . plot.cv.grpsel . plot.grpsel . predict.cv.grpsel . predict.grpsel . 
Some associated R codes: RcppExports.R . cv-grpsel.R . grpsel-package.R . grpsel.R . standardise.R .  Full grpsel package functions and examples
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