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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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:, r-release:, r-oldrel:
OS X binaries: r-release: brainwaver_1.6.tgz, r-oldrel: brainwaver_1.6.tgz
Old sources: brainwaver archive


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