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groupICA  

Independent Component Analysis for Grouped Data
View on CRAN: Click here


Download and install groupICA package within the R console
Install from CRAN:
install.packages("groupICA")

Install from Github:
library("remotes")
install_github("cran/groupICA")

Install by package version:
library("remotes")
install_version("groupICA", "0.1.1")



Attach the package and use:
library("groupICA")
Maintained by
Niklas Pfister
[Scholar Profile | Author Map]
First Published: 2018-06-19
Latest Update: 2018-06-19
Description:
Contains an implementation of an independent component analysis (ICA) for grouped data. The main function groupICA() performs a blind source separation, by maximizing an independence across sources and allows to adjust for varying confounding for user-specified groups. Additionally, the package contains the function uwedge() which can be used to approximately jointly diagonalize a list of matrices. For more details see the project website .
How to cite:
Niklas Pfister (2018). groupICA: Independent Component Analysis for Grouped Data. R package version 0.1.1, https://cran.r-project.org/web/packages/groupICA. Accessed 06 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited groupICA R package
View groupICA citation profile
Other R packages that groupICA depends, imports, suggests or enhances
Complete documentation for groupICA
Functions, R codes and Examples using the groupICA R package
Some associated functions: groupICA . uwedge . 
Some associated R codes: groupICA.R . uwedge.R .  Full groupICA package functions and examples
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