BSSoverSpace
Blind Source Separation for Multivariate Spatial Data using Eigen Analysis
Provides functions for blind source separation over multivariate spatial data, and useful statistics for evaluating performance of estimation on mixing matrix. 'BSSoverSpace' is based on an eigen analysis of a positive definite matrix defined in terms of multiple normalized spatial local covariance matrices, and thus can handle moderately high-dimensional random fields. This package is an implementation of the method described in Zhang, Hao and Yao (2022)<arXiv:2201.02023>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
2026-04-09 windows/windows R-4.5 | BSSoverSpace_0.1.0.zip |
32.4 KiB |