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.
The Pearson-ICA algorithm is a mutual information-based method for blind separation of statistically independent source signals. It has been shown that the minimization of mutual information leads to iterative use of score functions, i.e. derivatives of log densities. The Pearson system allows adaptive modeling of score functions. The flexibility of the Pearson system makes it possible to model a wide range of source distributions including asymmetric distributions. The algorithm is designed especially for problems with asymmetric sources but it works for symmetric sources as well.
| Version: | 1.2-5 |
| Imports: | grDevices, graphics, stats |
| Published: | 2022-02-21 |
| DOI: | 10.32614/CRAN.package.PearsonICA |
| Author: | Juha Karvanen |
| Maintainer: | Juha Karvanen <juha.karvanen at iki.fi> |
| License: | AGPL-3 |
| NeedsCompilation: | no |
| Citation: | PearsonICA citation info |
| CRAN checks: | PearsonICA results |
| Reference manual: | PearsonICA.pdf |
| Package source: | PearsonICA_1.2-5.tar.gz |
| Windows binaries: | r-devel: PearsonICA_1.2-5.zip, r-release: PearsonICA_1.2-5.zip, r-oldrel: PearsonICA_1.2-5.zip |
| macOS binaries: | r-release (arm64): PearsonICA_1.2-5.tgz, r-oldrel (arm64): PearsonICA_1.2-5.tgz, r-release (x86_64): PearsonICA_1.2-5.tgz, r-oldrel (x86_64): PearsonICA_1.2-5.tgz |
| Old sources: | PearsonICA archive |
Please use the canonical form https://CRAN.R-project.org/package=PearsonICA 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.