Dynamic Functional Connectivity Analysis

An implementation of multivariate linear process bootstrap (MLPB) method and sliding window technique to assess the dynamic functional connectivity (dFC) estimate by providing its confidence bands, based on Maria Kudela (2017) . It also integrates features to visualize non-zero coverage for selected a-priori regions of interest estimated by the dynamic functional connectivity model (dFCM) and dynamic functional connectivity (dFC) curves for reward-related a-priori regions of interest where the activation-based analysis reported.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("dfConn")

0.1.1 by Zikai Lin, 24 days ago


Browse source code at https://github.com/cran/dfConn


Authors: Zikai Lin [aut, cre] , Maria Kudela [aut] , Jaroslaw Harezlak [aut] , Mario Dzemidzic [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports doParallel, nlme, parallel, foreach, ggplot2, fields, gplots, splines, stats, stringr, graphics, data.table, gtools, Rcpp

Suggests iterators, testthat, itertools, mgcv, latex2exp

Linking to Rcpp, RcppArmadillo


See at CRAN