fusedMGM: Implementation of Fused MGM to Infer 2-Class Networks (original) (raw)
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>.
| Version: | 0.1.2 |
|---|---|
| Depends: | R (≥ 2.10) |
| Imports: | fastDummies, parallel, bigmemory, gplots, bigalgebra, biganalytics |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2024-10-17 |
| DOI: | 10.32614/CRAN.package.fusedMGM |
| Author: | Jaehyun Park  [aut, cre, cph], Sungho Won [ths] |
| Maintainer: | Jaehyun Park <J.31.Park at gmail.com> |
| License: | MIT + file |
| NeedsCompilation: | no |
| CRAN checks: | fusedMGM results |
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