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Dynamic graphical models for multivariate time series data to estimate directed dynamic networks in functional magnetic resonance imaging (fMRI), see Schwab et al. (2017) <doi:10.1016/j.neuroimage.2018.03.074>.
Version: | 1.7.4 |
Depends: | R (≥ 3.2.0) |
Imports: | Rcpp (≥ 0.11.0), data.table (≥ 1.10.0), reshape2 (≥ 1.4.2), ggplot2 (≥ 2.2.1), coin (≥ 1.2) |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | testthat |
Published: | 2021-12-05 |
DOI: | 10.32614/CRAN.package.DGM |
Author: | Simon Schwab, Ruth Harbord, Lilia Costa, Thomas Nichols |
Maintainer: | Simon Schwab <schw4b at gmail.com> |
BugReports: | https://github.com/schw4b/DGM/issues |
License: | GPL-3 |
URL: | https://github.com/schw4b/DGM |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | DGM results |
Reference manual: | DGM.pdf |
Package source: | DGM_1.7.4.tar.gz |
Windows binaries: | r-devel: DGM_1.7.4.zip, r-release: DGM_1.7.4.zip, r-oldrel: DGM_1.7.4.zip |
macOS binaries: | r-release (arm64): DGM_1.7.4.tgz, r-oldrel (arm64): DGM_1.7.4.tgz, r-release (x86_64): DGM_1.7.4.tgz, r-oldrel (x86_64): DGM_1.7.4.tgz |
Old sources: | DGM archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.