Package: fusedMGM 0.1.2

Jaehyun Park

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) <doi:10.48550/arXiv.2208.14959>.

Authors:Jaehyun Park [aut, cre, cph], Sungho Won [ths]

fusedMGM_0.1.2.tar.gz
fusedMGM_0.1.2.tar.gz(r-4.5-noble)fusedMGM_0.1.2.tar.gz(r-4.4-noble)
fusedMGM_0.1.2.tgz(r-4.4-emscripten)fusedMGM_0.1.2.tgz(r-4.3-emscripten)
fusedMGM.pdf |fusedMGM.html
fusedMGM/json (API)

# Install 'fusedMGM' in R:
install.packages('fusedMGM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 209 downloads 5 exports 32 dependencies

Last updated 6 days agofrom:2c4940eb88. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 18 2024
R-4.5-linuxNOTEOct 18 2024

Exports:FMGM_mcFMGM_plotFMGM_StEPSmake_MGM_listMGM

Dependencies:BHbigalgebrabiganalyticsbiglmbigmemorybigmemory.sribitopscaToolsclicodetoolsdata.tableDBIfansifastDummiesforeachgluegplotsgtoolsiteratorsKernSmoothlifecyclemagrittrpillarpkgconfigRcpprlangstringistringrtibbleutf8uuidvctrs