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 361 downloads 5 exports 3 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK126
source / vignettesOK127
linux-releaseOK144
macos-releaseOK108
macos-oldrelOK74
windows-develOK62
windows-releaseOK62
windows-oldrelOK60
wasm-releaseOK90

Exports:generate_ellipticaloe_siroffline_sirsim_ablationsubspace_mse

Dependencies:latticeMASSMatrix