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

brain | Time series obtained by an fMRI experiement on the brain |

choose.thresh.nbedges | Threshold associated to a given number of edges. |

compute.FDR | False Discovery Rate computation |

const.adj.list | Computation of the list of adjacency matrices |

const.adj.mat | Computation of the adjacency matrix |

const.cor.list | Computation of the list of correlation matrices |

const.var.list | Computation of the list of variance vectors |

correlations.to.adjacencies | Produce adjencency matrices for a given number of edges |

equadist.rand.sw | Small-world parameters for a simulated graph given its degree... |

fitting | Fitting laws with maximum likelihood |

global.efficiency | Graph efficiency |

p.value.compute | Computation of the p-value for a given hypotheses test |

rand.eff | Efficiency for simulated graphs |

random.attack | Attack of graphs |

rand.sw | Small-world parameters for simulated random graphs |

read.convert_1_2 | Conversion of already edited objects from version 1 to 2 |

read.cor.txt | Exportation and importation of internal objects. |

read.var.txt | Exportation and importation internal objects. |

reg.sw | Small-world parameters for a lattice graph |

sim.rand | Simulation of graphs |

small.world | Computation of some quantitive parameters given in the... |

wave.trans | Computation of the wavelet transform |

young | Time series obtained by an fMRI experiement on the brain |

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