rrat
Robust Regression with Asymmetric Heavy-Tail Noise Distributions
Implementation of Robust Regression tailored to deal with Asymmetric noise Distribution, which was originally proposed by Takeuchi & Bengio & Kanamori (2002) <doi:10.1162/08997660260293300>. In addition, this implementation is extended as introducing potential feature regularization by LASSO etc.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | rrat_1.0.0.tar.gz |
14.7 KiB |
1.0.0 |
rolling linux/noble R-4.5 | rrat_1.0.0.tar.gz |
14.6 KiB |
1.0.0 |
rolling source/ R- | rrat_1.0.0.tar.gz |
2.9 KiB |
1.0.0 |
latest linux/jammy R-4.5 | rrat_1.0.0.tar.gz |
14.7 KiB |
1.0.0 |
latest linux/noble R-4.5 | rrat_1.0.0.tar.gz |
14.6 KiB |
1.0.0 |
latest source/ R- | rrat_1.0.0.tar.gz |
2.9 KiB |
1.0.0 |
2026-04-26 source/ R- | rrat_1.0.0.tar.gz |
2.9 KiB |
1.0.0 |
2026-04-23 source/ R- | rrat_1.0.0.tar.gz |
2.9 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | rrat_1.0.0.zip |
17.2 KiB |
1.0.0 |
2025-04-20 source/ R- | rrat_1.0.0.tar.gz |
2.9 KiB |