brainwaver: Basic wavelet analysis of multivariate time series with a visualisation and parametrisation using graph theory.
Version 1.6

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.

Getting started

Package details

AuthorSophie Achard <[email protected]>
Date of publication2012-12-02 07:08:10
MaintainerSophie Achard <[email protected]>
LicenseGPL (>= 2)
Version1.6
URL http://www.gipsa-lab.grenoble-inp.fr/~sophie.achard/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("brainwaver")

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brainwaver documentation built on May 30, 2017, 1:47 a.m.