SortModes {mlica} | R Documentation |
Sorts inferred ICA modes using two criteria: Relative data power or the Liebermeister criterion, which is based on a measure that is a weighted linear combination of non-gaussianity and data variance measures.
SortModes(a.best,c.val = 0.25)
a.best |
The output object of mlica . |
c.val |
A parameter to control the relative weight of the two measures when using the Liebermeister criterion. Should be between 0 (pure data variance measure) and 1 (pure non-gaussianity). |
A list with components:
a.best |
The output of mlica . |
rdp |
The relative data power values obtained for each independent component. |
lbm |
The Liebermeister contrast value for each component. |
Andrew Teschendorff aet21@cam.ac.uk