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
CICA_1.1.1.zip(r-4.7)CICA_1.1.1.zip(r-4.6)CICA_1.1.1.zip(r-4.5)
CICA_1.1.1.tgz(r-4.6-any)CICA_1.1.1.tgz(r-4.5-any)
CICA_1.1.1.tar.gz(r-4.7-any)CICA_1.1.1.tar.gz(r-4.6-any)
CICA_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

On CRAN:

clustering ica

3.85 score 2 stars 2 scripts 265 downloads 7 mentions 14 exports 84 dependencies

Last updated from:a2598260aa. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	155
source / vignettes	OK	190
linux-release-x86_64	OK	162
macos-release-arm64	OK	153
macos-oldrel-arm64	OK	195
windows-devel	OK	104
windows-release	OK	118
windows-oldrel	OK	100
wasm-release	OK	130

Exports:CICA computeRVmat embed_papaya FindRationalStarts get_papaya_version loadNIfTIs matcher papaya papaya_div pass_papaya SequentialScree Sim_CICA Sr_to_nifti update_papaya_build

Dependencies:abind askpass base64enc bitops bslib cachem cli CMLS cpp11 crosstalk curl data.table digest dplyr evaluate farver fastmap fontawesome fs generics ggplot2 glue gtable highr htmltools htmlwidgets httpuv httr ica isoband jquerylib jsonlite knitr labeling later lazyeval lifecycle magrittr matrixStats mclust memoise mime multiway neurobase openssl oro.nifti otel pillar pkgconfig plotly promises purrr quadprog R.methodsS3 R.oo R.utils R6 rappdirs RColorBrewer Rcpp RcppArmadillo RcppParallel Rfast rlang rmarkdown RNifti S7 sass scales servr stringi stringr sys tibble tidyr tidyselect tinytex utf8 vctrs viridisLite withr xfun yaml zigg

Citation

Development and contributors

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