Package: netcom 2.1.6
netcom: NETwork COMparison Inference
Infer system functioning with empirical NETwork COMparisons. These methods are part of a growing paradigm in network science that uses relative comparisons of networks to infer mechanistic classifications and predict systemic interventions. They have been developed and applied in Langendorf and Burgess (2021) <doi:10.1038/s41598-021-99251-7>, Langendorf (2020) <doi:10.1201/9781351190831-6>, and Langendorf and Goldberg (2019) <arxiv:1912.12551>.
Authors:
netcom_2.1.6.tar.gz
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netcom.pdf |netcom.html✨
netcom/json (API)
# Install 'netcom' in R: |
install.packages('netcom', repos = c('https://langendorfr.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/langendorfr/netcom/issues
Last updated 4 months agofrom:bc0b912255. Checks:ERROR: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | FAIL | Nov 15 2024 |
R-4.5-win | ERROR | Nov 15 2024 |
R-4.5-linux | ERROR | Nov 15 2024 |
R-4.4-win | ERROR | Nov 15 2024 |
R-4.4-mac | ERROR | Nov 15 2024 |
R-4.3-win | ERROR | Nov 15 2024 |
R-4.3-mac | ERROR | Nov 15 2024 |
Exports:%>%alignbest_fit_optimclassifyclassify_Systematiccomparecompare_Targetginigrow_DDgrow_DMgrow_ERgrow_NMgrow_PAgrow_SWicsmake_DDmake_DMmake_Mixturemake_NMmake_Nullmake_Null_canonicalmake_Null_mixturemake_SWmake_Systematicmake_Systematic_canonicalmake_Systematic_directedCanonicalLikemake_Systematic_mixturenull_fit_optimstir_DDstir_DMstir_ERstir_NMstir_PAstir_SW
Dependencies:cachemcliclueclustercodetoolscolorspacecpp11doParalleldplyrexpmfansifarverfastmapforeachgenericsGenSAggforceggfortifyggplot2ggraphggrepelgluegraphlayoutsgridExtragtableigraphisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmunsellnlmenloptrnumDerivoptimxpdistpermutepillarpkgconfigplyrpolyclippracmapurrrR6RColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangscalesstringistringrsystemfontstibbletidygraphtidyrtidyselecttweenrutf8vctrsveganviridisviridisLitewithr