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groupRemMap  

Regularized Multivariate Regression for Identifying Master Predictors Using the GroupRemMap Penalty
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("groupRemMap", "0.1-0")



Attach the package and use:
library("groupRemMap")
Maintained by
Xianlong Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-04-09
Latest Update: 2023-08-18
Description:
An implementation of the GroupRemMap penalty for fitting regularized multivariate response regression models under the high-dimension-low-sample-size setting. When the predictors naturally fall into groups, the GroupRemMap penalty encourages procedure to select groups of predictors, while control for the overall sparsity of the final model.
How to cite:
Xianlong Wang (2015). groupRemMap: Regularized Multivariate Regression for Identifying Master Predictors Using the GroupRemMap Penalty. R package version 0.1-0, https://cran.r-project.org/web/packages/groupRemMap. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1-0 (2015-04-09 01:07)
Other packages that cited groupRemMap R package
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Other R packages that groupRemMap depends, imports, suggests or enhances
Functions, R codes and Examples using the groupRemMap R package
Some associated functions: groupRemMap.cv . groupRemMap . 
Some associated R codes: groupRemMap.CV.R . groupRemMap.R .  Full groupRemMap package functions and examples
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