Function reference • spdm

Basic operations

spd.dist(): Distance between two symmetric, positive-definite matrices

spd.interpolate(): Interpolation between two symmetric, positive-definite matrices

spd.mean(): Compute the mean of a set of spd matrices

spd.correlation(): Compute (partial) correlations

spd.vectorize(): Vectorize and unvectorize a matrix

spd.estimate(): Covariance estimation

Geometric operations

spd.logmap(): Projection onto the tangent space

spd.expmap(): Projection from the tangent space

spd.transport(): Transport a tangent vector

spd.translate(): Translation of a covariance matrix

spd.whiten(): Covariance whitening transform

Data Analysis

spd.dimred(): Dimension reduction

spd.center(): Center a collection of covariance matrices

Data

bold: FMRI BOLD data

Internal utilities

is.spd(): Check if a matrix is symmetric and positive definite