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CICA  

Clusterwise Independent Component Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CICA", "1.1.1")



Attach the package and use:
library("CICA")
Maintained by
Jeffrey Durieux
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-01
Latest Update: 2024-07-14
Description:
Clustering multi-subject resting state functional Magnetic Resonance Imaging data. This methods enables the clustering of subjects based on multi-subject resting state functional Magnetic Resonance Imaging data. Objects are clustered based on similarities and differences in cluster-specific estimated components obtained by Independent Component Analysis.
How to cite:
Jeffrey Durieux (2021). CICA: Clusterwise Independent Component Analysis. R package version 1.1.1, https://cran.r-project.org/web/packages/CICA. Accessed 26 Oct. 2026.
Previous versions and publish date:
0.1.0 (2021-07-01 10:00), 1.0.0 (2023-06-29 16:40), 1.0.1 (2023-07-17 10:50), 1.0.2 (2024-02-05 17:50), 1.1.0 (2024-07-11 15:30), (2026-07-09 07:59)
Other packages that cited CICA R package
View CICA citation profile
Other R packages that CICA depends, imports, suggests or enhances
Complete documentation for CICA
Functions, R codes and Examples using the CICA R package
Some associated functions: AdjustProb . CICA . ConcData . ExampleData . ExtractICA . GenerateRandomClustering . Lir . Reclus . SearchEmptyClusters . clusf . summary.CICA . xscale . 
Some associated R codes: AdjustProb.R . CICA.R . ConcData.R . ExampleData.R . ExtractICA.R . GenerateRandomClustering.R . Lir.R . Reclus.R . SearchEmptyClusters.R . clusf.R . summary.CICA.R . xscale.R .  Full CICA package functions and examples
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