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CICA: Clusterwise Independent Component Analysis
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.
Getting started
Browse package contents
Package details |
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| Author | Jeffrey Durieux [aut, cre], Tom Wilderjans [aut], Juan Claramunt Gonzalez [ctb] |
| Maintainer | Jeffrey Durieux <durieux.jeffrey@gmail.com> |
| License | GPL (>= 3) |
| Version | 1.0.1 |
| URL | https://www.sciencedirect.com/science/article/pii/S0165027022002448 https://github.com/jeffreydurieux/CICA |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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