msaenet (2.5)

0 users

Multi-Step Adaptive Estimation Methods for Sparse Regressions.

https://msaenet.com
https://github.com/road2stat/msaenet
http://cran.r-project.org/web/packages/msaenet

Multi-step adaptive elastic-net (MSAENet) algorithm for feature selection in high-dimensional regressions proposed in Xiao and Xu (2015) , with additional support for multi-step adaptive MCP-net (MSAMNet) and multi-step adaptive SCAD-net (MSASNet) methods.

Maintainer: Nan Xiao
Author(s): Nan Xiao [aut, cre]

License: GPL-3 | file LICENSE

Uses: foreach, glmnet, Matrix, mvtnorm, ncvreg, survival, doParallel, knitr, rmarkdown

Released 1 day ago.


6 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of msaenet yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for msaenet on google, google scholar, r-help, r-devel.

Visit msaenet on R Graphical Manual.