The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>).
| Version: | 1.0.2 |
| Imports: | stats, graphics |
| Suggests: | testthat |
| Published: | 2024-09-09 |
| DOI: | 10.32614/CRAN.package.psvmSDR |
| Author: | Jungmin Shin [aut, cre], Seung Jun Shin [aut], Andreas Artemiou [aut] |
| Maintainer: | Jungmin Shin <jungminshin at korea.ac.kr> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | psvmSDR results |
| Reference manual: | psvmSDR.pdf |
| Package source: | psvmSDR_1.0.2.tar.gz |
| Windows binaries: | r-devel: psvmSDR_1.0.2.zip, r-release: psvmSDR_1.0.2.zip, r-oldrel: psvmSDR_1.0.2.zip |
| macOS binaries: | r-release (arm64): psvmSDR_1.0.2.tgz, r-oldrel (arm64): psvmSDR_1.0.2.tgz, r-release (x86_64): psvmSDR_1.0.2.tgz, r-oldrel (x86_64): psvmSDR_1.0.2.tgz |
| Old sources: | psvmSDR archive |
Please use the canonical form https://CRAN.R-project.org/package=psvmSDR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.