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

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

Downloads:

Reference manual: brainwaver.pdf
Package source: brainwaver_1.6.tar.gz
OS X binary: brainwaver_1.6.tgz
Windows binary: brainwaver_1.6.zip
Old sources: brainwaver archive