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BSSoverSpace  

Blind Source Separation for Multivariate Spatial Data using Eigen Analysis
View on CRAN: Click here


Download and install BSSoverSpace package within the R console
Install from CRAN:
install.packages("BSSoverSpace")

Install from Github:
library("remotes")
install_github("cran/BSSoverSpace")

Install by package version:
library("remotes")
install_version("BSSoverSpace", "0.1.0")



Attach the package and use:
library("BSSoverSpace")
Maintained by
Sixing Hao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-10
Latest Update: 2022-11-10
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).
How to cite:
Sixing Hao (2022). BSSoverSpace: Blind Source Separation for Multivariate Spatial Data using Eigen Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/BSSoverSpace. Accessed 05 Aug. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for BSSoverSpace
Functions, R codes and Examples using the BSSoverSpace R package
Some associated functions: BSSS . d_score . gen_matern_gaussian_rf . 
Some associated R codes: BSSS.R . d_score.R . gen_matern_gaussian_rf.R .  Full BSSoverSpace package functions and examples
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