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:
CICA_1.1.1.tar.gz
CICA_1.1.1.zip(r-4.5)CICA_1.1.1.zip(r-4.4)CICA_1.1.1.zip(r-4.3)
CICA_1.1.1.tgz(r-4.4-any)CICA_1.1.1.tgz(r-4.3-any)
CICA_1.1.1.tar.gz(r-4.5-noble)CICA_1.1.1.tar.gz(r-4.4-noble)
CICA_1.1.1.tgz(r-4.4-emscripten)CICA_1.1.1.tgz(r-4.3-emscripten)
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')) |
Bug tracker:https://github.com/jeffreydurieux/cica/issues
Last updated 4 months agofrom:a2598260aa. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win | OK | Nov 04 2024 |
R-4.5-linux | OK | Nov 04 2024 |
R-4.4-win | OK | Nov 04 2024 |
R-4.4-mac | OK | Nov 04 2024 |
R-4.3-win | OK | Nov 04 2024 |
R-4.3-mac | OK | Nov 04 2024 |
Exports:CICAcomputeRVmatembed_papayaFindRationalStartsget_papaya_versionloadNIfTIsmatcherpapayapapaya_divpass_papayaSequentialScreeSim_CICASr_to_niftiupdate_papaya_build
Dependencies:abindaskpassbase64encbitopsbslibcachemcliCMLScolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvhttricaisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmatrixStatsmclustmemoisemgcvmimemultiwaymunsellneurobasenlmeopenssloro.niftipillarpkgconfigplotlypromisespurrrquadprogR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastrlangrmarkdownRNiftisassscalesservrstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
CICA: Clusterwise Independent Component Analysis | CICA |
Compute modified RV matrix | computeRVmat |
Embed images with Papaya | embed_papaya |
Plot method for rstarts object | FindRationalStarts plot.rstarts |
Generate random starts | GenRanStarts |
Title | GenRatStarts |
Get Papaya Version | get_papaya_version |
Load Nifti files from directory | loadNIfTIs |
Match components between cluster specific spatial maps | matcher |
Match components between cluster specific spatial maps | matcher.CICA |
Moore Penrose inverse | mpinv |
View images with Papaya | papaya |
Papaya Div element output | papaya_div |
View images with Papaya | pass_papaya |
Plot method for CICA | plot.CICA |
Plot method for sequential model selection | plot.ModSel |
Sequential Model Selection for Multiple CICA model | SequentialScree |
Simulate CICA data | Sim_CICA |
Convert Cluster specific independent components to NIFTI format | Sr_to_nifti |
Summary method for class CICA | summary.CICA |
Summary method for class MultipleCICA | summary.MultipleCICA |
Update Papaya build version from GitHub | update_papaya_build |