gcica_bss_dwst: Implement different W same T group-colorICA algorithm.
In seonjoo/gcica: Group Colored Independent Component Analysis
Description
Usage
Arguments
Value
Examples
View source: R/gcica_dwst_cica_R_translate.R
View source: R/gcica_bss_dwst_matlab_translate.R
View source: R/gcica_bss_dwst.R
Description
Implement different W same T group-colorICA algorithm.
Usage
1
gcica_bss_dwst(Xc)
Arguments
Xc
G by NG cell-array contains observed [cell-array]
data matrices. G is the number of groups and NG is the number of subjects in each group.
Each component of the cell-array is a matrix with dimension M by T
where M is the number of mixtures and T is the number of time points.
Each data matrix has been pre-whitenned and centered.
Value
W: M by M unmixitng matrix
Examples
1
x=rnorm(10)
seonjoo/gcica documentation built on March 28, 2021, 2:31 p.m.
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Description Usage Arguments Value Examples
View source: R/gcica_dwst_cica_R_translate.R View source: R/gcica_bss_dwst_matlab_translate.R View source: R/gcica_bss_dwst.R
Description
Implement different W same T group-colorICA algorithm.
Usage
1 | gcica_bss_dwst(Xc)
|
Arguments
Xc |
G by NG cell-array contains observed [cell-array] data matrices. G is the number of groups and NG is the number of subjects in each group. Each component of the cell-array is a matrix with dimension M by T where M is the number of mixtures and T is the number of time points. Each data matrix has been pre-whitenned and centered. |
Value
W: M by M unmixitng matrix
Examples
1 | x=rnorm(10)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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