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fusedMGM

Implementation of Fused MGM to Infer 2-Class Networks

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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling source/ R- fusedMGM_0.1.2.tar.gz 243.9 KiB
0.1.2 rolling linux/jammy R-4.5 fusedMGM_0.1.2.tar.gz 426.4 KiB
0.1.2 latest source/ R- fusedMGM_0.1.2.tar.gz 243.9 KiB
0.1.2 latest linux/jammy R-4.5 fusedMGM_0.1.2.tar.gz 426.4 KiB
0.1.2 2026-04-23 source/ R- fusedMGM_0.1.2.tar.gz 243.9 KiB
0.1.2 2026-04-09 windows/windows R-4.5 fusedMGM_0.1.2.zip 429.7 KiB
0.1.2 2025-04-20 source/ R- fusedMGM_0.1.2.tar.gz 243.9 KiB

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