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fusedMGM (version 0.1.2)

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) .

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Version

Install

install.packages('fusedMGM')

Monthly Downloads

210

Version

0.1.2

License

MIT + file LICENSE

Maintainer

Jaehyun Park

Last Published

October 17th, 2024

Functions in fusedMGM (0.1.2)

FMGM_StEPS

StEPS: train subsamples and calculate edge instabilities
FMGM_mc

Main function of fused MGM
ind_disc_mini

A toy example of 2-group mixed data
data_all

An example of 2-group mixed data
make_MGM_list

Make MGM lists from input data
FMGM_plot

A plot function for a list of MGMs. The output is usually from FMGM main function.
ind_disc

An example of 2-group mixed data
MGM

Defining S3 object "MGM"
data_mini

A toy example of 2-group mixed data