RiemannR - EEG-based BCI analysis with Riemannian geometry

CreateAllSCM | Creation of sample covariance matrices |

emp_var_function | Empirical variance function |

exp_map | Exponential mapping of SCMs |

ExtractBlock | Extracting a block from a SCM |

extractGroups | Extracting SCMs of the same group from a list |

geometric_mean | Computation of SCMs' geometric mean |

log_map | Logarithmic mapping of SCMs |

LR_classification | Binary classification with RG ditribution |

MDRM | Classification of covariance matrices with MDRM. |

RaoDist | Riemannian Distance |

RG_distr | Riemann-Gauss density function |

SCM | Sample Covariance Matrix |

scm_transform | SCMs transformation to use a linear SVM |

SuperTrial | Super Trial |

vect | Vectorization of covariance matrices |

VectorizeSCM | Vectorization of SCMs |

VectToMatrix | Creation of a vectorized SCMs matrix |

zeta_est | Estimate of the normalization constant of the Riemann-Gauss... |

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