Package: DGM 1.7.4
DGM: Dynamic Graphical Models
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>.
Authors:
DGM_1.7.4.tar.gz
DGM_1.7.4.zip(r-4.5)DGM_1.7.4.zip(r-4.4)DGM_1.7.4.zip(r-4.3)
DGM_1.7.4.tgz(r-4.4-x86_64)DGM_1.7.4.tgz(r-4.4-arm64)DGM_1.7.4.tgz(r-4.3-x86_64)DGM_1.7.4.tgz(r-4.3-arm64)
DGM_1.7.4.tar.gz(r-4.5-noble)DGM_1.7.4.tar.gz(r-4.4-noble)
DGM_1.7.4.tgz(r-4.4-emscripten)DGM_1.7.4.tgz(r-4.3-emscripten)
DGM.pdf |DGM.html✨
DGM/json (API)
# Install 'DGM' in R: |
install.packages('DGM', repos = c('https://schw4b.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/schw4b/dgm/issues
dynamic-graphical-modelsfunctional-connectivitytime-varying-connectivity
Last updated 3 years agofrom:2d6f475310. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-win-x86_64 | NOTE | Nov 07 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 07 2024 |
R-4.4-win-x86_64 | NOTE | Nov 07 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 07 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 07 2024 |
R-4.3-win-x86_64 | NOTE | Nov 07 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 07 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 07 2024 |
Exports:binom.nettestcentercor2adjcorTsdgm.groupdiag.deltadlm.lpldlm.retrodlmLplCppexhaustive.searchgetAdjacencygetIncompleteNodesgetModelgetModelNrgetWinnergplotMatmergeModelsmodel.generatornodepatelpatel.groupperfpriors.specprop.nettestpruningrand.testread.subjectreshapeTsrmdiagrmnarmRecipLowscaleTsstepwise.backwardstepwise.combinestepwise.forwardsubjectsymmetricttest.nettest
Dependencies:clicodetoolscoincolorspacedata.tablefansifarverggplot2gluegtableisobandlabelinglatticelibcoinlifecyclemagrittrMASSMatrixmatrixStatsmgcvmodeltoolsmultcompmunsellmvtnormnlmepillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloreshape2rlangsandwichscalesstringistringrsurvivalTH.datatibbleutf8vctrsviridisLitewithrzoo