riemtan0.2.5 package

Compute the AIRM Vectorization of Tangent Space

Compute the Bures-Wasserstein Exponential

Compute the Bures-Wasserstein Logarithm

Compute the Bures-Wasserstein Inverse Vectorization

Compute the Bures-Wasserstein Vectorization

Compute the Frechet Mean

Configure Progress Handlers

Create ParquetBackend from Directory

Create a Progress Reporter for Iterative Operations

CSample Class

CSuperSample Class

Metric Object Constructor

Pre-configured Riemannian metrics for SPD matrices

Parallel Processing Configuration for riemtan

ParquetBackend Class

Progress Reporting Utilities for riemtan

Relocate Tangent Representations to a New Reference Point

Reset Parallel Plan to Sequential

TangentImageHandler Class

Validate Backend Object

Validate Connections

Validate arguments for Riemannian logarithms

Validate arguments for Riemannian logarithms

Validate Metric

Validate Parquet Directory Structure

Validate Parquet Directory

Validate Tangent Images

Validate arguments for inverse vectorization

Validate arguments for vectorization

Validate Vector Images

Vectorize at Identity Matrix

Execute Function with Progress Reporting for Each Item

Execute Expression with Progress Reporting

Check if Progress Reporting is Available

Compute the AIRM Exponential

Compute the AIRM Logarithm

Compute the Inverse Vectorization (AIRM)

DataBackend Abstract Class

Default reference point

Differential of Matrix Exponential Map

Differential of Matrix Logarithm Map

Compute the Euclidean Exponential

Compute the Euclidean Logarithm

Compute the Inverse Vectorization (Euclidean)

Vectorize at Identity Matrix (Euclidean)

Get Current Number of Parallel Workers

Half-underscore operation for use in the log-Cholesky metric

Create an Identity Matrix

Check if Parallel Processing is Enabled

ListBackend Class

Compute the Log-Cholesky Exponential

Compute the Log-Cholesky Logarithm

Compute the Log-Cholesky Inverse Vectorization

Compute the Log-Cholesky Vectorization

Compute the Log-Euclidean Exponential

Compute the Log-Euclidean Logarithm

Compute the Inverse Vectorization (Euclidean)

Vectorize at Identity Matrix (Euclidean)

riemtan: Riemannian Metrics for Symmetric Positive Definite Matrices

Generate Random Samples from a Riemannian Normal Distribution

Wrapper for the matrix logarithm

Set Parallel Processing Plan

Decide Whether to Use Parallel Processing

Reverse isometry from tangent space at identity to tangent space at P

Isometry from tangent space at P to tangent space at identity

Write Connectomes to Parquet Files