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.

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

Documentation:

Reference manual: CICA.pdf

Downloads:

Package source: CICA_1.1.1.tar.gz
Windows binaries: r-devel: CICA_1.1.1.zip, r-release: CICA_1.1.1.zip, r-oldrel: CICA_1.1.1.zip
macOS binaries: r-release (arm64): CICA_1.1.1.tgz, r-oldrel (arm64): CICA_1.1.1.tgz, r-release (x86_64): CICA_1.1.1.tgz, r-oldrel (x86_64): CICA_1.1.1.tgz
Old sources: CICA archive

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