Package: psvmSDR 3.0.1

psvmSDR: Unified Principal Sufficient Dimension Reduction Package

A unified and user-friendly framework for applying the principal sufficient dimension reduction methods for both linear and nonlinear cases. The package has an extendable power by varying loss functions for the support vector machine, even for an user-defined arbitrary function, unless those are convex and differentiable everywhere over the support (Li et al. (2011) <doi:10.1214/11-AOS932>). Also, it provides a real-time sufficient dimension reduction update procedure using the principal least squares support vector machine (Artemiou et al. (2021) <doi:10.1016/j.patcog.2020.107768>).

Authors:Jungmin Shin [aut, cre], Seung Jun Shin [aut], Andreas Artemiou [aut]

psvmSDR_3.0.1.tar.gz
psvmSDR_3.0.1.zip(r-4.7)psvmSDR_3.0.1.zip(r-4.6)psvmSDR_3.0.1.zip(r-4.5)
psvmSDR_3.0.1.tgz(r-4.6-any)psvmSDR_3.0.1.tgz(r-4.5-any)
psvmSDR_3.0.1.tar.gz(r-4.7-any)psvmSDR_3.0.1.tar.gz(r-4.6-any)
psvmSDR_3.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
psvmSDR/json (API)

# Install 'psvmSDR' in R:
install.packages('psvmSDR', repos = c('https://c16267.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.

2.00 score 1 stars 4 scripts 159 downloads 5 exports 0 dependencies

Last updated from:e3fabaafdb. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK109
source / vignettesOK147
linux-release-x86_64OK93
macos-release-arm64OK124
macos-oldrel-arm64OK193
windows-develOK73
windows-releaseOK71
windows-oldrelOK74
wasm-releaseOK75

Exports:npsdrnpsdr_xpsdrpsdr_bicrtpsdr

Dependencies: