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GSparO  

Group Sparse Optimization
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("GSparO", "1.0")



Attach the package and use:
library("GSparO")
Maintained by
Yaohua Hu
[Scholar Profile | Author Map]
First Published: 2017-02-20
Latest Update: 2017-02-20
Description:
Approaches a group sparse solution of an underdetermined linear system. It implements the proximal gradient algorithm to solve a lower regularization model of group sparse learning. For details, please refer to the paper "Y. Hu, C. Li, K. Meng, J. Qin and X. Yang. Group sparse optimization via l_{p,q} regularization. Journal of Machine Learning Research, to appear, 2017".
How to cite:
Yaohua Hu (2017). GSparO: Group Sparse Optimization. R package version 1.0, https://cran.r-project.org/web/packages/GSparO. Accessed 07 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited GSparO R package
View GSparO citation profile
Other R packages that GSparO depends, imports, suggests or enhances
Complete documentation for GSparO
Functions, R codes and Examples using the GSparO R package
Some associated functions: GSparO . demon . 
Some associated R codes: GSparO.R . demon.R .  Full GSparO package functions and examples
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