Package: CICA 1.1.1

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.

Authors:Jeffrey Durieux [aut, cre], Tom Wilderjans [aut], Juan Claramunt Gonzalez [ctb]

CICA_1.1.1.tar.gz
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CICA_1.1.1.tgz(r-4.4-any)CICA_1.1.1.tgz(r-4.3-any)
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CICA.pdf |CICA.html
CICA/json (API)

# Install 'CICA' in R:
install.packages('CICA', repos = c('https://jeffreydurieux.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jeffreydurieux/cica/issues

On CRAN:

clusteringica

4.32 score 2 stars 2 scripts 272 downloads 7 mentions 14 exports 91 dependencies

Last updated 4 months agofrom:a2598260aa. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winOKNov 04 2024
R-4.5-linuxOKNov 04 2024
R-4.4-winOKNov 04 2024
R-4.4-macOKNov 04 2024
R-4.3-winOKNov 04 2024
R-4.3-macOKNov 04 2024

Exports:CICAcomputeRVmatembed_papayaFindRationalStartsget_papaya_versionloadNIfTIsmatcherpapayapapaya_divpass_papayaSequentialScreeSim_CICASr_to_niftiupdate_papaya_build

Dependencies:abindaskpassbase64encbitopsbslibcachemcliCMLScolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvhttricaisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmatrixStatsmclustmemoisemgcvmimemultiwaymunsellneurobasenlmeopenssloro.niftipillarpkgconfigplotlypromisespurrrquadprogR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastrlangrmarkdownRNiftisassscalesservrstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml