ICAspat: ICAspat

Description Usage Arguments Value See Also Examples

View source: R/niftiFMRI.R

Description

This function performs a spatial ICA

Usage

1
ICAspat(X,n.comp,alg.typ="parallel",centering=TRUE,hp.filter=TRUE)

Arguments

X

a matrix of size tm x vm which contains the functionnal images

n.comp

number of maximally independent components to extract

alg.typ

if 'alg.typ == "parallel"' the components are extracted simultaneously (the default). if 'alg.typ == "deflation"' the components are extracted one at a time.

centering

Logical. Should we center the data first. Centering will be performed by firstly removing the column mean.

hp.filter

Logical. Should we perform high-pass filtering on the data

Value

A list containing

time.series

estimated mixing matrix of size tm x n.comp

spatial.components

estimated source matrix of size n.comp x vm

See Also

ICAtemp

Examples

1
# TODO!!

AnalyzeFMRI documentation built on Oct. 5, 2021, 5:06 p.m.