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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 |
| 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.
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