dfConn (0.2.1)

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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.

Maintainer: Zikai Lin
Author(s): Zikai Lin [aut, cre], Maria Kudela [aut], Jaroslaw Harezlak [aut], Mario Dzemidzic [aut]

License: MIT + file LICENSE

Uses: data.table, doParallel, fields, foreach, ggplot2, gplots, gtools, nlme, Rcpp, stringr, mgcv, iterators, testthat, itertools, latex2exp

Released 8 months ago.

3 previous versions



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