This package computes the correlation matrix for each scale of a wavelet decomposition, namely the one performed by the R package waveslim (Whitcher, 2000). An hypothesis test is applied to each entry of one matrix in order to construct an adjacency matrix of a graph. The graph obtained is finally analysed using the small-world theory (Watts and Strogatz, 1998) and using the computation of efficiency (Latora, 2001), tested using simulated attacks. The brainwaver project is complementary to the camba project for brain-data preprocessing. A collection of scripts (with a makefile) is avalaible to download along with the brainwaver package, see information on the webpage mentioned below.
| Version: | 1.6 |
| Depends: | R (≥ 1.10.0), waveslim |
| Published: | 2012-12-02 |
| Author: | Sophie Achard |
| Maintainer: | Sophie Achard <sophie.achard at gipsa-lab.inpg.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.gipsa-lab.grenoble-inp.fr/~sophie.achard/ |
| NeedsCompilation: | yes |
| In views: | MedicalImaging, TimeSeries |
| CRAN checks: | brainwaver results |
| Reference manual: | brainwaver.pdf |
| Package source: | brainwaver_1.6.tar.gz |
| Windows binaries: | r-devel: brainwaver_1.6.zip, r-release: brainwaver_1.6.zip, r-oldrel: brainwaver_1.6.zip |
| OS X binaries: | r-release: brainwaver_1.6.tgz, r-oldrel: brainwaver_1.6.tgz |
| Old sources: | brainwaver archive |
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