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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: | 1.0.2 |
| Depends: | ica, RNifti, R (≥ 2.10) |
| Imports: | mclust, plotly, multiway, methods, magrittr, neurobase, oro.nifti, servr, htmltools |
| Published: | 2024-02-05 |
| 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, https://github.com/jeffreydurieux/CICA |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | CICA results |
| Reference manual: | CICA.pdf |
| Package source: | CICA_1.0.2.tar.gz |
| Windows binaries: | r-devel: CICA_1.0.2.zip, r-release: CICA_1.0.2.zip, r-oldrel: CICA_1.0.2.zip |
| macOS binaries: | r-release (arm64): CICA_1.0.2.tgz, r-oldrel (arm64): CICA_1.0.2.tgz, r-release (x86_64): CICA_1.0.2.tgz, r-oldrel (x86_64): CICA_1.0.2.tgz |
| Old sources: | CICA archive |
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