It implements colored Independent Component Analysis (Lee et al., 2011) and spatial colored Independent Component Analysis (Shen et al., 2014). They are two algorithms to perform ICA when sources are assumed to be temporal or spatial stochastic processes, respectively.
Version: | 1.0.0 |
Depends: | MASS |
Suggests: | fastICA |
Published: | 2015-02-24 |
Author: | Lee, S., Shen, H., Truong, Y. and Zanini, P. |
Maintainer: | Paolo Zanini <paolo.zanini at polimi.it> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | coloredICA results |
Reference manual: | coloredICA.pdf |
Package source: | coloredICA_1.0.0.tar.gz |
Windows binaries: | r-devel: coloredICA_1.0.0.zip, r-release: coloredICA_1.0.0.zip, r-oldrel: coloredICA_1.0.0.zip |
macOS binaries: | r-release: coloredICA_1.0.0.tgz, r-oldrel: coloredICA_1.0.0.tgz |
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