msaenet-package: msaenet: Multi-Step Adaptive Estimation Methods for Sparse...
In nanxstats/msaenet: Multi-Step Adaptive Estimation Methods for Sparse Regressions
msaenet-package R Documentation
msaenet: Multi-Step Adaptive Estimation Methods for Sparse Regressions
Description
Multi-step adaptive elastic-net (MSAENet) algorithm for feature selection in high-dimensional regressions proposed in Xiao and Xu (2015) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/00949655.2015.1016944")}, with support for multi-step adaptive MCP-net (MSAMNet) and multi-step adaptive SCAD-net (MSASNet) methods.
Author(s)
Maintainer: Nan Xiao me@nanx.me (ORCID)
Authors:
Qing-Song Xu qsxu@csu.edu.cn
See Also
Useful links:
nanxstats/msaenet documentation built on March 8, 2024, 9:37 p.m.
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| msaenet-package | R Documentation |
msaenet: Multi-Step Adaptive Estimation Methods for Sparse Regressions
Description
Multi-step adaptive elastic-net (MSAENet) algorithm for feature selection in high-dimensional regressions proposed in Xiao and Xu (2015) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/00949655.2015.1016944")}, with support for multi-step adaptive MCP-net (MSAMNet) and multi-step adaptive SCAD-net (MSASNet) methods.
Author(s)
Maintainer: Nan Xiao me@nanx.me (ORCID)
Authors:
Qing-Song Xu qsxu@csu.edu.cn
See Also
Useful links:
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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