Package: oesir 0.3.2
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>.
Authors:
oesir_0.3.2.tar.gz
oesir_0.3.2.zip(r-4.7-any)oesir_0.3.2.zip(r-4.6-any)oesir_0.3.2.zip(r-4.5-any)
oesir_0.3.2.tgz(r-4.6-any)oesir_0.3.2.tgz(r-4.5-any)
oesir_0.3.2.tar.gz(r-4.7-any)oesir_0.3.2.tar.gz(r-4.6-any)
oesir_0.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
oesir/json (API)
| # Install 'oesir' in R: |
| install.packages('oesir', repos = c('https://guangbaog.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:91b7013b3e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 126 | ||
| source / vignettes | OK | 127 | ||
| linux-release | OK | 144 | ||
| macos-release | OK | 108 | ||
| macos-oldrel | OK | 74 | ||
| windows-devel | OK | 62 | ||
| windows-release | OK | 62 | ||
| windows-oldrel | OK | 60 | ||
| wasm-release | OK | 90 |
Exports:generate_ellipticaloe_siroffline_sirsim_ablationsubspace_mse
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generate Elliptical Streaming Data | generate_elliptical |
| Online Elliptical SIR (Two Online Solvers) | oe_sir |
| Offline Batch SIR (Baseline Comparison Algorithm) | offline_sir |
| Batch Ablation Simulation Tool | sim_ablation |
| Subspace Projection MSE Loss Function | subspace_mse |