Package: brainKCCA 0.1.0

brainKCCA: Region-Level Connectivity Network Construction via Kernel Canonical Correlation Analysis

It is designed to calculate connection between (among) brain regions and plot connection lines. Also, the summary function is included to summarize group-level connectivity network. Kang, Jian (2016) <doi:10.1016/j.neuroimage.2016.06.042>.

Authors:Xubo Yue [aut], Jian Kang [cre]

brainKCCA_0.1.0.tar.gz
brainKCCA_0.1.0.zip(r-4.5)brainKCCA_0.1.0.zip(r-4.4)brainKCCA_0.1.0.zip(r-4.3)
brainKCCA_0.1.0.tgz(r-4.4-any)brainKCCA_0.1.0.tgz(r-4.3-any)
brainKCCA_0.1.0.tar.gz(r-4.5-noble)brainKCCA_0.1.0.tar.gz(r-4.4-noble)
brainKCCA_0.1.0.tgz(r-4.4-emscripten)brainKCCA_0.1.0.tgz(r-4.3-emscripten)
brainKCCA.pdf |brainKCCA.html✨
brainKCCA/json (API)

# Install 'brainKCCA' in R:

install.packages('brainKCCA', repos = c('https://kangjian2016.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kangjian2016/brainkcca/issues

Datasets:

input_img - This is data to be included as example

On CRAN:

3.70 score 5 scripts 207 downloads 7 exports 83 dependencies

Last updated 6 years agofrom:3ad10ab7d0. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 05 2024
R-4.5-win	NOTE	Nov 05 2024
R-4.5-linux	NOTE	Nov 05 2024
R-4.4-win	NOTE	Nov 05 2024
R-4.4-mac	NOTE	Nov 05 2024
R-4.3-win	NOTE	Nov 05 2024
R-4.3-mac	NOTE	Nov 05 2024

Exports:meanConnection multipleRegion_plot nii2RData perm_kCCA perm_kCCA_par permkCCA_multipleRegion summary_kcca

Dependencies:abind ash base64enc bitops brainR bslib cachem CCA cli cluster colorspace deSolve digest dotCall64 elasticnet evaluate fansi farver fastmap fda fds fields FNN fontawesome fs ggplot2 glue gtable hdrcde highr htmltools htmlwidgets isoband jquerylib jsonlite kernlab KernSmooth knitr ks labeling lars lattice lifecycle locfit magrittr maps MASS Matrix mclust memoise mgcv mime misc3d multicool munsell mvtnorm nlme oro.nifti pcaPP pillar pkgconfig pracma R6 rainbow rappdirs RColorBrewer Rcpp RCurl rgl rlang rmarkdown RNifti sass scales spam tibble tinytex utf8 vctrs viridisLite withr xfun yaml

Examples to build region-level connectivity network

Xubo Yue, Chia-Wei Hsu, Jian Kang

Rendered frombrainKCCA.Rmdusingknitr::rmarkdownon Nov 05 2024.

Last update: 2019-05-02
Started: 2019-05-02

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
This is data to be included as example	input_img
Calculate percentage of connection in all pairwise brain regions.	meanConnection
Multiple Regions Connection Plot	multipleRegion_plot
Read NIfTI Image(s) File(s) into R data	nii2RData
Calculation of Strength of the Connectivity among Multiple Brain Regions	perm_kCCA perm_kCCA_par
Calculation of Strength of the Connectivity among multiple Brain Regions	permkCCA_multipleRegion
Print information of object generated by permkCCA_multipleRegion function	summary_kcca