oesir
Online Sliced Inverse Regression for Elliptical Model with Streaming Data
For high-dimensional streaming heavy-tailed elliptical data, traditional sliced inverse regression methods require full offline data and cannot adapt to incremental data arrival. This package implements Online Sliced Inverse Regression for Elliptical Model with Streaming Data (OE-SIR) algorithm with two recursive updating strategies, including offline batch SIR as benchmark, elliptical heavy-tailed data simulator, subspace evaluation metric and batch simulation tools for numerical experiments. Cai, Z., Li, R., & Zhu, L. (2020) <doi:10.48550/arXiv.2002.02795>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.2 |
rolling linux/jammy R-4.5 | oesir_0.3.2.tar.gz |
26.9 KiB |
0.3.2 |
rolling linux/noble R-4.5 | oesir_0.3.2.tar.gz |
27.0 KiB |
0.3.2 |
rolling source/ R- | oesir_0.3.2.tar.gz |
5.5 KiB |
0.3.2 |
latest linux/jammy R-4.5 | oesir_0.3.2.tar.gz |
26.9 KiB |
0.3.2 |
latest linux/noble R-4.5 | oesir_0.3.2.tar.gz |
27.0 KiB |
0.3.2 |
latest source/ R- | oesir_0.3.2.tar.gz |
5.5 KiB |
0.3.2 |
2026-04-23 source/ R- | oesir_0.3.2.tar.gz |
0 B |