CICA: Clusterwise Independent Component Analysis (original) (raw)
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.
| Version: | 1.1.1 |
|---|---|
| Depends: | ica, RNifti, Rfast, R (≥ 4.3) |
| Imports: | mclust, plotly, multiway, methods, magrittr, neurobase, oro.nifti, servr, htmltools |
| Published: | 2024-07-14 |
| DOI: | 10.32614/CRAN.package.CICA |
| Author: | Jeffrey Durieux [aut, cre], Tom Wilderjans [aut], Juan Claramunt Gonzalez [ctb] |
| Maintainer: | Jeffrey Durieux <durieux.jeffrey at gmail.com> |
| License: | GPL-3 |
| URL: | https://www.sciencedirect.com/science/article/pii/S0165027022002448 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | CICA results |
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