msaenet
Multi-Step Adaptive Estimation Methods for Sparse Regressions
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.
- Version3.1.2
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- msaenet citation info
- Last release05/11/2024
Documentation
Team
Nan Xiao
Qing-Song Xu
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Last 30 days
This package has been downloaded 592 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 11 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 5,425 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Oct 09, 2024 with 74 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports6 packages
- Suggests3 packages
- Reverse Suggests1 package