brainwaver (1.6)

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Basic wavelet analysis of multivariate time series with a visualisation and parametrisation using graph theory..

http://www.gipsa-lab.grenoble-inp.fr/~sophie.achard/
http://cran.r-project.org/web/packages/brainwaver

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.

Maintainer: Sophie Achard
Author(s): Sophie Achard <sophie.achard@gipsa-lab.inpg.fr>

License: GPL (>= 2)

Uses: waveslim

Released over 4 years ago.


2 previous versions

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Visit brainwaver on R Graphical Manual.