Package: brainwaver
Version: 1.5
Date: 2010-08-09
Title: Basic wavelet analysis of multivariate time series with a
        visualisation and parametrisation using graph theory.
Author: Sophie Achard <sa428@cam.ac.uk>,
        <sophie.achard@gipsa-lab.inpg.fr>
Maintainer: Sophie Achard <sa428@cam.ac.uk>, ,
        <sophie.achard@gipsa-lab.inpg.fr>
Depends: R (>= 1.5.0), 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.wbic.cam.ac.uk/~sa428
Packaged: 2010-08-10 15:05:08 UTC; achard
Repository: CRAN
Date/Publication: 2010-08-10 15:49:19
Built: R 2.13.2; i386-pc-mingw32; 2011-09-30 18:11:42 UTC; windows
Archs: i386, x64
