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.


Reference manual

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0.2.1 by Zikai Lin, a year 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