print.sbss

Prints the estimated unmixing matrix and the diagonalized local covariance matrices for an object of class <code>'sbss'</code>.

Blind source separation for multivariate spatial data based on simultaneous/joint diagonalization of (robust) local covariance matrices. This package is an implementation of the methods described in Bachoc, Genton, Nordhausen, Ruiz-Gazen and Virta (2020) <doi:10.1093/biomet/asz079>.

Klaus Nordhausen

SpatialBSS

Blind Source Separation for Multivariate Spatial Data

Christoph Muehlmann

Mika Sipil<e4>

Claudia Cappello

Sandra De Iaco

Sara Taskinen

Joni Virta

print.sbss function

<dl> <dt>x</dt>
<dd>object of class <code>'sbss'</code>. Usually result of <code>sbss</code>.</dd> <dt>...</dt>
<dd>additional arguments for the method <code>print.listof</code>.</dd></dl>

Arguments

Print Method for an Object of Class 'sbss' — print.sbss

<dl>

 <dt>x</dt>
<dd>object of class <code>'sbss'</code>. Usually result of <code>sbss</code>.</dd>

 <dt>...</dt>
<dd>additional arguments for the method <code>print.listof</code>.</dd>

</dl>

print.sbss: Print Method for an Object of Class 'sbss'

Description

Usage

Arguments

See Also