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: 0.1.0
Depends: ica, NMFN, R (≥ 2.10)
Published: 2021-07-01
Author: Jeffrey Durieux [aut, cre], Tom Wilderjans [aut]
Maintainer: Jeffrey Durieux <durieux.jeffrey at gmail.com>
License: GPL (≥ 3)
URL: https://hdl.handle.net/1887/35077, https://github.com/jeffreydurieux/CICA
NeedsCompilation: no
Materials: README
CRAN checks: CICA results

Documentation:

Reference manual: CICA.pdf

Downloads:

Package source: CICA_0.1.0.tar.gz
Windows binaries: r-devel: CICA_0.1.0.zip, r-release: CICA_0.1.0.zip, r-oldrel: CICA_0.1.0.zip
macOS binaries: r-release (arm64): CICA_0.1.0.tgz, r-release (x86_64): CICA_0.1.0.tgz, r-oldrel: CICA_0.1.0.tgz

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