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 |

Reference manual: | brainwaver.pdf |

Package source: | brainwaver_1.6.tar.gz |

Windows binaries: | r-devel: brainwaver_1.6.zip, r-devel-gcc8: brainwaver_1.6.zip, r-release: brainwaver_1.6.zip, r-oldrel: brainwaver_1.6.zip |

OS X binaries: | r-release: brainwaver_1.6.tgz, r-oldrel: brainwaver_1.6.tgz |

Old sources: | brainwaver archive |

Please use the canonical form
`https://CRAN.R-project.org/package=brainwaver`
to link to this page.