Man pages for areshenk/spdm
Geometry-respecting analysis of covariance matrices
| bold | FMRI BOLD data |
| is.spd | Check if a matrix is symmetric and positive definite |
| spd.center | Center a collection of covariance matrices |
| spd.correlation | Compute (partial) correlations |
| spd.dimred | Dimension reduction |
| spd.dist | Distance between two symmetric, positive-definite matrices |
| spd.estimate | Covariance estimation |
| spd.expmap | Projection from the tangent space |
| spd.interpolate | Interpolation between two symmetric, positive-definite... |
| spd.logmap | Projection onto the tangent space |
| spd.mean | Compute the mean of a set of spd matrices |
| spd.translate | Translation of a covariance matrix |
| spd.transport | Transport a tangent vector |
| spd.vectorize | Vectorize and unvectorize a matrix |
| spd.whiten | Covariance whitening transform |
