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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Insights
Last 30 days
This package has been downloaded 592 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. 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. Impressive! The kind of number that makes colleagues ask, 'How did you do 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