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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.

Versions across snapshots

VersionRepositoryFileSize
3.1.2 rolling linux/jammy R-4.5 msaenet_3.1.2.tar.gz 799.4 KiB
3.1.2 rolling linux/noble R-4.5 msaenet_3.1.2.tar.gz 799.2 KiB
3.1.2 rolling source/ R- msaenet_3.1.2.tar.gz 670.7 KiB
3.1.2 latest linux/jammy R-4.5 msaenet_3.1.2.tar.gz 799.4 KiB
3.1.2 latest linux/noble R-4.5 msaenet_3.1.2.tar.gz 799.2 KiB
3.1.2 latest source/ R- msaenet_3.1.2.tar.gz 670.7 KiB
3.1.2 2026-04-26 source/ R- msaenet_3.1.2.tar.gz 670.7 KiB
3.1.2 2026-04-23 source/ R- msaenet_3.1.2.tar.gz 670.7 KiB
3.1.2 2026-04-09 windows/windows R-4.5 msaenet_3.1.2.zip 800.2 KiB
3.1.2 2025-04-20 source/ R- msaenet_3.1.2.tar.gz 670.7 KiB

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