R: Blind Source Separation for Multivariate Spatial Data

# Blind Source Separation for Multivariate Spatial Data

## Documentation for package ‘SpatialBSS’ version 0.14-0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

SpatialBSS-package | Blind Source Separation for Multivariate Spatial Data
coef.sbss | Coef Method for an Object of Class 'sbss'
gen_glob_outl | Contamination with Global Outliers
gen_loc_outl | Contamination with Local Outliers
local_covariance_matrix | Computation of Local Covariance Matrices
local_gss_covariance_matrix | Computation of Robust Local Covariance Matrices
plot.sbss | Plot Method for an Object of Class 'sbss'
predict.sbss | Predict Method for an Object of Class 'sbss'
print.sbss | Print Method for an Object of Class 'sbss'
robsbss | Robust Spatial Blind Source Separation
robsbss.default | Robust Spatial Blind Source Separation
robsbss.sf | Robust Spatial Blind Source Separation
robsbss.SpatialPointsDataFrame | Robust Spatial Blind Source Separation
sbss | Spatial Blind Source Separation
sbss.default | Spatial Blind Source Separation
sbss.sf | Spatial Blind Source Separation
sbss.SpatialPointsDataFrame | Spatial Blind Source Separation
sbss_asymp | Asymptotic Test for the White Noise Dimension in a Spatial Blind Source Separation Model
sbss_asymp.default | Asymptotic Test for the White Noise Dimension in a Spatial Blind Source Separation Model
sbss_asymp.sf | Asymptotic Test for the White Noise Dimension in a Spatial Blind Source Separation Model
sbss_asymp.SpatialPointsDataFrame | Asymptotic Test for the White Noise Dimension in a Spatial Blind Source Separation Model
sbss_boot | Different Bootstrap Tests for the White Noise Dimension in a Spatial Blind Source Separation Model
sbss_boot.default | Different Bootstrap Tests for the White Noise Dimension in a Spatial Blind Source Separation Model
sbss_boot.sf | Different Bootstrap Tests for the White Noise Dimension in a Spatial Blind Source Separation Model
sbss_boot.SpatialPointsDataFrame | Different Bootstrap Tests for the White Noise Dimension in a Spatial Blind Source Separation Model
snss_jd | Spatial Non-Stationary Source Separation Joint Diagonalization
snss_jd.default | Spatial Non-Stationary Source Separation Joint Diagonalization
snss_jd.list | Spatial Non-Stationary Source Separation Joint Diagonalization
snss_jd.sf | Spatial Non-Stationary Source Separation Joint Diagonalization
snss_jd.SpatialPointsDataFrame | Spatial Non-Stationary Source Separation Joint Diagonalization
snss_sd | Spatial Non-Stationary Source Separation Simultaneous Diagonalization
snss_sd.default | Spatial Non-Stationary Source Separation Simultaneous Diagonalization
snss_sd.list | Spatial Non-Stationary Source Separation Simultaneous Diagonalization
snss_sd.sf | Spatial Non-Stationary Source Separation Simultaneous Diagonalization
snss_sd.SpatialPointsDataFrame | Spatial Non-Stationary Source Separation Simultaneous Diagonalization
snss_sjd | Spatial Non-Stationary Source Separation Spatial Joint Diagonalization
snss_sjd.default | Spatial Non-Stationary Source Separation Spatial Joint Diagonalization
snss_sjd.list | Spatial Non-Stationary Source Separation Spatial Joint Diagonalization
snss_sjd.sf | Spatial Non-Stationary Source Separation Spatial Joint Diagonalization
snss_sjd.SpatialPointsDataFrame | Spatial Non-Stationary Source Separation Spatial Joint Diagonalization
spatial_kernel_matrix | Computation of Spatial Kernel Matrices
white_data | Different Approaches of Data Whitening