Package: fusedMGM 0.1.0.1
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) <arxiv:2208.14959>.
Authors:
fusedMGM_0.1.0.1.tar.gz
fusedMGM_0.1.0.1.zip(r-4.5)fusedMGM_0.1.0.1.zip(r-4.4)fusedMGM_0.1.0.1.zip(r-4.3)
fusedMGM_0.1.0.1.tgz(r-4.4-any)fusedMGM_0.1.0.1.tgz(r-4.3-any)
fusedMGM_0.1.0.1.tar.gz(r-4.5-noble)fusedMGM_0.1.0.1.tar.gz(r-4.4-noble)
fusedMGM_0.1.0.1.tgz(r-4.4-emscripten)fusedMGM_0.1.0.1.tgz(r-4.3-emscripten)
fusedMGM.pdf |fusedMGM.html✨
fusedMGM/json (API)
| # Install 'fusedMGM' in R: |
| install.packages('fusedMGM', repos = c('https://jaehyunparkbiostat.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:c02c40b46f. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 16 2024 |
| R-4.5-win | OK | Sep 16 2024 |
| R-4.5-linux | OK | Sep 16 2024 |
| R-4.4-win | OK | Sep 16 2024 |
| R-4.4-mac | OK | Sep 16 2024 |
| R-4.3-win | OK | Sep 16 2024 |
| R-4.3-mac | OK | Sep 16 2024 |
Exports:FMGM_mcFMGM_plotFMGM_StEPSmake_MGM_listMGM
Dependencies:BHbigmemorybigmemory.sribitopscaToolsclidata.tablefansifastDummiesgluegplotsgtoolsKernSmoothlifecyclemagrittrpillarpkgconfigRcpprlangstringistringrtibbleutf8uuidvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| An example of 2-group mixed data | data_all |
| Main function of fused MGM | FMGM_mc |
| A plot function for a list of MGMs. The output is usually from FMGM main function. | FMGM_plot |
| StEPS: train subsamples and calculate edge instabilities | FMGM_StEPS |
| An example of 2-group mixed data | ind_disc |
| Make MGM lists from input data | make_MGM_list |
| Defining S3 object "MGM" | MGM |
