Package: BSSoverSpace Type: Package Title: Blind Source Separation for Multivariate Spatial Data using Eigen Analysis Version: 0.1.0 Authors@R: person("Sixing", "Hao", email = "s.hao3@lse.ac.uk", role = c("aut", "cre")) Maintainer: Sixing Hao Description: 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). License: GPL-3 Encoding: UTF-8 Imports: SpatialBSS, expm, rSPDE RoxygenNote: 7.2.1 Suggests: knitr, rmarkdown VignetteBuilder: knitr NeedsCompilation: no Packaged: 2026-06-20 09:04:52 UTC; root Author: Sixing Hao [aut, cre] Repository: https://cran.r-universe.dev Date/Publication: 2022-11-10 17:50:05 UTC RemoteUrl: https://github.com/cran/BSSoverSpace RemoteRef: HEAD RemoteSha: c811794df903b09674636afd7336a89f8aa63246