The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.
Slow Feature Analysis (SFA), ported to R based on 'matlab' implementations of SFA: 'SFA toolkit' 1.0 by Pietro Berkes and 'SFA toolkit' 2.8 by Wolfgang Konen.
Version: | 1.5 |
Depends: | R (≥ 2.0.0) |
Imports: | stats, MASS, graphics, grDevices |
Published: | 2022-03-29 |
DOI: | 10.32614/CRAN.package.rSFA |
Author: | Wolfgang Konen, Martin Zaefferer, Patrick Koch; Bug hunting and testing by Ayodele Fasika, Ashwin Kumar, Prawyn Jebakumar |
Maintainer: | Martin Zaefferer <martin.zaefferer at gmx.de> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | rSFA results |
Reference manual: | rSFA.pdf |
Package source: | rSFA_1.5.tar.gz |
Windows binaries: | r-devel: rSFA_1.5.zip, r-release: rSFA_1.5.zip, r-oldrel: rSFA_1.5.zip |
macOS binaries: | r-release (arm64): rSFA_1.5.tgz, r-oldrel (arm64): rSFA_1.5.tgz, r-release (x86_64): rSFA_1.5.tgz, r-oldrel (x86_64): rSFA_1.5.tgz |
Old sources: | rSFA archive |
Reverse suggests: | ForeCA |
Please use the canonical form https://CRAN.R-project.org/package=rSFA 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.