Package: ggm 2.5.1
ggm: Graphical Markov Models with Mixed Graphs
Provides functions for defining mixed graphs containing three types of edges, directed, undirected and bi-directed, with possibly multiple edges. These graphs are useful because they capture fundamental independence structures in multivariate distributions and in the induced distributions after marginalization and conditioning. The package is especially concerned with Gaussian graphical models for (i) ML estimation for directed acyclic graphs, undirected and bi-directed graphs and ancestral graph models (ii) testing several conditional independencies (iii) checking global identification of DAG Gaussian models with one latent variable (iv) testing Markov equivalences and generating Markov equivalent graphs of specific types.
Authors:
ggm_2.5.1.tar.gz
ggm_2.5.1.zip(r-4.5)ggm_2.5.1.zip(r-4.4)ggm_2.5.1.zip(r-4.3)
ggm_2.5.1.tgz(r-4.4-any)ggm_2.5.1.tgz(r-4.3-any)
ggm_2.5.1.tar.gz(r-4.5-noble)ggm_2.5.1.tar.gz(r-4.4-noble)
ggm_2.5.1.tgz(r-4.4-emscripten)ggm_2.5.1.tgz(r-4.3-emscripten)
ggm.pdf |ggm.html✨
ggm/json (API)
NEWS
# Install 'ggm' in R: |
install.packages('ggm', repos = c('https://stathin.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/stathin/ggm/issues
Last updated 11 months agofrom:a672d1af33. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | NOTE | Nov 20 2024 |
R-4.5-linux | NOTE | Nov 20 2024 |
R-4.4-win | OK | Nov 20 2024 |
R-4.4-mac | OK | Nov 20 2024 |
R-4.3-win | OK | Nov 20 2024 |
R-4.3-mac | OK | Nov 20 2024 |
Exports:adjMatrixAGallEdgesbasiSetbdbfsearchbinveblkdiagblodiagchcheckIdentcmpGraphconCompcorrelationscycleMatrixDAGDGdiagvdrawGraphdSepedgematrixessentialGraphfindPathfitAncestralGraphfitConGraphfitCovGraphfitDagfitDagLatentfitmlogitfundCyclesgrMATicficfmagIninducedChainGraphinducedConGraphinducedCovGraphinducedDAGinducedRegGraphisAcyclicisADMGisAGisGidentMAGmakeMGmarg.paramMarkEqMagMarkEqRcgmat.mlogitMaxMRGmsepMSGnullpaparcorpcorpcor.testplotGraphpowersetrcorrremRepMarBGRepMarDAGRepMarUGRGrnormDagRRrsphereSGshipley.testSPlswptopOrdertopSorttransClostriDecUGunmakeMG
Dependencies:BiocGenericsBiocManagerclicpp11genericsgluegraphigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs