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) <doi:10.1016/j.neuroimage.2017.01.056>. 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.
| Version: | 0.2.1 |
| Depends: | R (≥ 2.10) |
| Imports: | doParallel, nlme, parallel, foreach, ggplot2, fields, gplots, splines, stats, stringr, graphics, data.table, gtools, Rcpp (≥ 0.12.18) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | iterators, testthat, itertools, mgcv, latex2exp |
| Published: | 2019-06-13 |
| Author: | Zikai Lin [aut, cre], Maria Kudela [aut], Jaroslaw Harezlak [aut], Mario Dzemidzic [aut] |
| Maintainer: | Zikai Lin <ziklin at iu.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | dfConn results |
| Reference manual: | dfConn.pdf |
| Package source: | dfConn_0.2.1.tar.gz |
| Windows binaries: | r-devel: dfConn_0.2.1.zip, r-release: dfConn_0.2.1.zip, r-oldrel: dfConn_0.2.1.zip |
| macOS binaries: | r-release: dfConn_0.2.1.tgz, r-oldrel: dfConn_0.2.1.tgz |
| Old sources: | dfConn archive |
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