Package: psvmSDR 1.0.2

Jungmin Shin

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_1.0.2.tar.gz
psvmSDR_1.0.2.tar.gz(r-4.5-noble)psvmSDR_1.0.2.tar.gz(r-4.4-noble)
psvmSDR_1.0.2.tgz(r-4.4-emscripten)psvmSDR_1.0.2.tgz(r-4.3-emscripten)
psvmSDR.pdf |psvmSDR.html
psvmSDR/json (API)

# Install 'psvmSDR' in R:
install.packages('psvmSDR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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 1 scripts 151 downloads 5 exports 0 dependencies

Last updated 2 months agofrom:8891ceb8a7. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-linuxOKNov 09 2024

Exports:npsdrnpsdr_xpsdrpsdr_bicrtpsdr

Dependencies: