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 <s.hao3@lse.ac.uk>
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)<arXiv:2201.02023>.
License: GPL-3
Encoding: UTF-8
Imports: SpatialBSS, expm, rSPDE
RoxygenNote: 7.2.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-09 15:54:39 UTC; haosi
Author: Sixing Hao [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-10 18:50:05 UTC
Built: R 4.6.0; ; 2026-04-25 13:56:26 UTC; unix
