L2E
Robust Structured Regression via the L2 Criterion
An implementation of a computational framework for performing robust structured regression with the L2 criterion from Chi and Chi (2021+). Improvements using the majorization-minimization (MM) principle from Liu, Chi, and Lange (2022+) added in Version 2.0.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0 |
rolling linux/jammy R-4.5 | L2E_2.0.tar.gz |
396.8 KiB |
2.0 |
rolling linux/noble R-4.5 | L2E_2.0.tar.gz |
396.7 KiB |
2.0 |
rolling source/ R- | L2E_2.0.tar.gz |
266.2 KiB |
2.0 |
latest linux/jammy R-4.5 | L2E_2.0.tar.gz |
396.8 KiB |
2.0 |
latest linux/noble R-4.5 | L2E_2.0.tar.gz |
396.7 KiB |
2.0 |
latest source/ R- | L2E_2.0.tar.gz |
266.2 KiB |
2.0 |
2026-04-26 source/ R- | L2E_2.0.tar.gz |
266.2 KiB |
2.0 |
2026-04-23 source/ R- | L2E_2.0.tar.gz |
266.2 KiB |
2.0 |
2026-04-09 windows/windows R-4.5 | L2E_2.0.zip |
401.9 KiB |
2.0 |
2025-04-20 source/ R- | L2E_2.0.tar.gz |
266.2 KiB |