Description
Implementation of Fused MGM to Infer 2-Class Networks.
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) <arXiv:2208.14959>.
README.md
fusedMGM_R_package
To use the package, use the following R code
install.packages("devtools")
library(devtools)
install_github("JaehyunParkBiostat/fusedMGM_R_package")