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msaenet  

Multi-Step Adaptive Estimation Methods for Sparse Regressions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("msaenet", "3.1.2")



Attach the package and use:
library("msaenet")
Maintained by
Nan Xiao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-20
Latest Update: 2024-05-11
Description:
Multi-step adaptive elastic-net (MSAENet) algorithm for feature selection in high-dimensional regressions proposed in Xiao and Xu (2015) , with support for multi-step adaptive MCP-net (MSAMNet) and multi-step adaptive SCAD-net (MSASNet) methods.
How to cite:
Nan Xiao (2016). msaenet: Multi-Step Adaptive Estimation Methods for Sparse Regressions. R package version 3.1.2, https://cran.r-project.org/web/packages/msaenet. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:33), 1.0 (2016-09-20 09:21), 1.1 (2016-12-29 01:09), 2.0 (2017-01-05 19:03), 2.1 (2017-01-16 00:03), 2.2 (2017-02-02 11:23), 2.3 (2017-02-10 06:08), 2.4 (2017-02-18 09:41), 2.5 (2017-03-25 11:58), 2.6 (2017-04-24 07:48), 2.7 (2017-09-25 00:52), 2.8 (2018-01-05 14:33), 2.9 (2018-05-14 06:12), 3.0 (2018-12-14 17:40), 3.1.1 (2024-03-04 05:40), 3.1 (2019-05-17 21:10)
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Complete documentation for msaenet
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