Package: CICA
Type: Package
Title: Clusterwise Independent Component Analysis
Version: 1.0.0
Date: 2023-06-27
Depends: ica, RNifti, R (>= 2.10)
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: 7.2.0
URL:
        https://www.sciencedirect.com/science/article/pii/S0165027022002448,
        https://github.com/jeffreydurieux/CICA
NeedsCompilation: no
Packaged: 2023-06-28 08:04:34 UTC; jeffr
Repository: CRAN
Date/Publication: 2023-06-29 14:40:14 UTC
