Package: brainwaver
Version: 1.6
Date: 2010-08-09
Title: Basic wavelet analysis of multivariate time series with a
        visualisation and parametrisation using graph theory.
Author: Sophie Achard <sophie.achard@gipsa-lab.inpg.fr>
Maintainer: Sophie Achard <sophie.achard@gipsa-lab.inpg.fr>
Depends: R (>= 1.10.0), waveslim
ZipData: no
Description: 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.
License: GPL (>= 2)
URL: http://www.gipsa-lab.grenoble-inp.fr/~sophie.achard/
Packaged: 2012-12-01 22:04:57 UTC; achards
Repository: CRAN
Date/Publication: 2012-12-02 07:08:10
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