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:	1.0.1
Depends:	ica, RNifti, R (≥ 2.10)
Imports:	mclust, plotly, multiway, methods, magrittr, neurobase, oro.nifti, servr, htmltools
Published:	2023-07-17
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

Documentation:

Reference manual:

CICA.pdf

Downloads:

Package source:	CICA_1.0.1.tar.gz
Windows binaries:	r-devel: CICA_1.0.1.zip, r-release: CICA_1.0.1.zip, r-oldrel: CICA_1.0.1.zip
macOS binaries:	r-release (arm64): CICA_1.0.1.tgz, r-oldrel (arm64): CICA_1.0.1.tgz, r-release (x86_64): CICA_1.0.1.tgz, r-oldrel (x86_64): CICA_1.0.1.tgz
Old sources:	CICA archive

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