Package: osir 0.3.2

osir: 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 (OSIR) 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]

osir_0.3.2.tar.gz
osir_0.3.2.zip(r-4.7-any)osir_0.3.2.zip(r-4.6-any)osir_0.3.2.zip(r-4.5-any)
osir_0.3.2.tgz(r-4.6-any)osir_0.3.2.tgz(r-4.5-any)
osir_0.3.2.tar.gz(r-4.7-any)osir_0.3.2.tar.gz(r-4.6-any)
osir_0.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
osir/json (API)

# Install 'osir' in R:
install.packages('osir', 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 5 exports 3 dependencies

Last updated from:23dc9f6498. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK111
source / vignettesOK230
linux-releaseOK138
macos-releaseOK106
macos-oldrelOK130
windows-develOK125
windows-releaseOK139
windows-oldrelOK167
wasm-releaseOK100

Exports:generate_ellipticaloffline_sirosirsim_ablationsubspace_mse

Dependencies:latticeMASSMatrix