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:Sirui Yan [aut], Guangbao Guo [aut, cre]

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'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 342 downloads 5 exports 3 dependencies

Last updated from:91b7013b3e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK97
source / vignettesOK233
linux-releaseOK104
macos-releaseOK118
macos-oldrelOK123
windows-develOK56
windows-releaseOK63
windows-oldrelOK61
wasm-releaseOK89

Exports:generate_ellipticaloe_siroffline_sirsim_ablationsubspace_mse

Dependencies:latticeMASSMatrix