msaenet-package: Multi-Step Adaptive Estimation Methods for Sparse Regressions
In msaenet: Multi-Step Adaptive Estimation Methods for Sparse Regressions
Description
Details
Author(s)
References
Description
Multi-step adaptive elastic-net (MSAENet) algorithm for
feature selection in high-dimensional regressions proposed in
Xiao and Xu (2015) <DOI:10.1080/00949655.2015.1016944>,
with support for multi-step adaptive MCP-Net (MSAMNet) and
multi-step adaptive SCAD-Net (MSASNet) methods.
Details
Browse the vignette with vignette("msaenet").
Author(s)
Nan Xiao <me@nanx.me>
References
Nan Xiao and Qing-Song Xu. (2015). Multi-step adaptive elastic-net:
reducing false positives in high-dimensional variable selection.
Journal of Statistical Computation and Simulation 85(18), 3755–3765.
msaenet documentation built on May 18, 2019, 1:03 a.m.
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Description Details Author(s) References
Description
Multi-step adaptive elastic-net (MSAENet) algorithm for feature selection in high-dimensional regressions proposed in Xiao and Xu (2015) <DOI:10.1080/00949655.2015.1016944>, with support for multi-step adaptive MCP-Net (MSAMNet) and multi-step adaptive SCAD-Net (MSASNet) methods.
Details
Browse the vignette with vignette("msaenet").
Author(s)
Nan Xiao <me@nanx.me>
References
Nan Xiao and Qing-Song Xu. (2015). Multi-step adaptive elastic-net: reducing false positives in high-dimensional variable selection. Journal of Statistical Computation and Simulation 85(18), 3755–3765.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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