Man pages for LauraMasiero/RiemannR
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... |
