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fusedMGM  

Implementation of Fused MGM to Infer 2-Class Networks
View on CRAN: Click here


Download and install fusedMGM package within the R console
Install from CRAN:
install.packages("fusedMGM")

Install from Github:
library("remotes")
install_github("cran/fusedMGM")

Install by package version:
library("remotes")
install_version("fusedMGM", "0.1.2")



Attach the package and use:
library("fusedMGM")
Maintained by
Jaehyun Park
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-14
Latest Update: 2024-10-17
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) .
How to cite:
Jaehyun Park (2023). fusedMGM: Implementation of Fused MGM to Infer 2-Class Networks. R package version 0.1.2, https://cran.r-project.org/web/packages/fusedMGM. Accessed 01 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:40), 0.1.0.0 (2023-04-14 21:20), 0.1.0.1 (2023-04-25 12:40)
Other packages that cited fusedMGM R package
View fusedMGM citation profile
Other R packages that fusedMGM depends, imports, suggests or enhances
Complete documentation for fusedMGM
Functions, R codes and Examples using the fusedMGM R package
Some associated functions: FMGM_StEPS . FMGM_mc . FMGM_plot . MGM . data_all . ind_disc . make_MGM_list . 
Some associated R codes: data.R .  Full fusedMGM package functions and examples
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