Package: SEMgraph 1.2.2
SEMgraph: Network Analysis and Causal Inference Through Structural Equation Modeling
Estimate networks and causal relationships in complex systems through Structural Equation Modeling. This package also includes functions to import, weight, manipulate, and fit biological network models within the Structural Equation Modeling framework proposed in Grassi M, Palluzzi F, Tarantino B (2022) <doi:10.1093/bioinformatics/btac567>.
Authors:
SEMgraph_1.2.2.tar.gz
SEMgraph_1.2.2.tar.gz(r-4.5-noble)SEMgraph_1.2.2.tar.gz(r-4.4-noble)
SEMgraph_1.2.2.tgz(r-4.4-emscripten)SEMgraph_1.2.2.tgz(r-4.3-emscripten)
SEMgraph.pdf |SEMgraph.html✨
SEMgraph/json (API)
NEWS
# Install 'SEMgraph' in R: |
install.packages('SEMgraph', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fernandopalluzzi/semgraph/issues
- alsData - Amyotrophic Lateral Sclerosis (ALS) dataset
- kegg - KEGG interactome
- kegg.pathways - KEGG pathways
- sachs - Sachs multiparameter flow cytometry data and consensus model
Last updated 2 months agofrom:79650b1ef7. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 22 2024 |
R-4.5-linux | OK | Aug 22 2024 |
Exports:ancestorsclusterGraphclusterScorecolorGraphcplotdagitty2graphdescendantsextractClustersfactor.analysisgplotgraph2daggraph2dagittygraph2lavaanlavaan2graphlocalCI.testmergeNodesmodelSearchorientEdgespairwiseMatrixparameterEstimatesparentspathFinderpropertiesresizeGraphSEMaceSEMbapSEMdagSEMdciSEMgsaSEMpathSEMrunSEMtreeShipley.testsiblingstransformDataweightGraph
Dependencies:aspectBHBiocGenericsBiocManagerbitopsbootcherryclassclicodetoolscorpcorcpp11curldagittye1071flipforeachgdataggmglassoglmnetgluegraphgtoolshommeligraphiteratorsjsonlitelatticelavaanlifecyclelpSolvemagrittrMASSMatrixmgcvmnormtmvtnormnlmenumDerivpbapplypbivnormpkgconfigplyrprotoclustproxyquadprogRBGLRcppRcppEigenRgraphvizrlangshapesomeMTPsurvivalV8vctrs