KERE
Expectile Regression in Reproducing Kernel Hilbert Space
An efficient algorithm inspired by majorization-minimization principle for solving the entire solution path of a flexible nonparametric expectile regression estimator constructed in a reproducing kernel Hilbert space.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | KERE_1.0.0.tar.gz |
381.4 KiB |
1.0.0 |
rolling linux/noble R-4.5 | KERE_1.0.0.tar.gz |
381.5 KiB |
1.0.0 |
rolling source/ R- | KERE_1.0.0.tar.gz |
24.0 KiB |
1.0.0 |
latest linux/jammy R-4.5 | KERE_1.0.0.tar.gz |
381.4 KiB |
1.0.0 |
latest linux/noble R-4.5 | KERE_1.0.0.tar.gz |
381.5 KiB |
1.0.0 |
latest source/ R- | KERE_1.0.0.tar.gz |
24.0 KiB |
1.0.0 |
2026-04-23 source/ R- | KERE_1.0.0.tar.gz |
24.0 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | KERE_1.0.0.zip |
623.4 KiB |
1.0.0 |
2025-04-20 source/ R- | KERE_1.0.0.tar.gz |
24.0 KiB |