Package: CICA
Type: Package
Title: Clusterwise Independent Component Analysis
Version: 1.1.1
Date: 2024-07-11
Depends: ica, RNifti, Rfast, R (>= 4.3)
Imports: mclust, plotly, multiway, methods, magrittr, neurobase,
        oro.nifti, servr, htmltools
Author: Jeffrey Durieux [aut, cre], Tom Wilderjans [aut], Juan
        Claramunt Gonzalez [ctb]
Maintainer: Jeffrey Durieux <durieux.jeffrey@gmail.com>
Description: 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.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
URL:
        https://www.sciencedirect.com/science/article/pii/S0165027022002448
NeedsCompilation: no
Packaged: 2026-10-01 07:55:48 UTC; root
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
        zlib1g-dev
Repository: https://jeffreydurieux.r-universe.dev
Date/Publication: 2024-07-14 10:20:54 UTC
RemoteUrl: https://github.com/jeffreydurieux/cica
RemoteRef: HEAD
RemoteSha: a2598260aaafde76ca0dc6ad8f2b6082b537e742