fusedMGM
Implementation of Fused MGM to Infer 2-Class Networks
v0.1.2
·
Oct 17, 2024
·
MIT + file LICENSE
Description
Implementation of fused Markov graphical model (FMGM; Park and Won, 2022). The functions include building mixed graphical model (MGM) objects from data, inference of networks using FMGM, stable edge-specific penalty selection (StEPS) for the determination of penalization parameters, and the visualization. For details, please refer to Park and Won (2022) <doi:10.48550/arXiv.2208.14959>.
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| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | NOTE |
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| r-devel-windows-x86_64 | OK |
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| r-oldrel-windows-x86_64 | OK |
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| r-release-macos-arm64 | OK |
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| r-release-windows-x86_64 | OK |
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dependencies in R code
Namespaces in Imports field not imported from: ‘bigalgebra’ ‘biganalytics’ All declared Imports should be used.
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dependencies in R code
Namespaces in Imports field not imported from: ‘bigalgebra’ ‘biganalytics’ All declared Imports should be used.
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
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r-devel-linux-x86_64-fedora-clang
dependencies in R code
Namespaces in Imports field not imported from: ‘bigalgebra’ ‘biganalytics’ All declared Imports should be used.
NOTE
r-devel-linux-x86_64-fedora-gcc
dependencies in R code
Namespaces in Imports field not imported from: ‘bigalgebra’ ‘biganalytics’ All declared Imports should be used.