Package: fusedMGM 0.1.2

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.zip(r-4.7)fusedMGM_0.1.2.zip(r-4.6)fusedMGM_0.1.2.zip(r-4.5)
fusedMGM_0.1.2.tgz(r-4.6-any)fusedMGM_0.1.2.tgz(r-4.5-any)
fusedMGM_0.1.2.tar.gz(r-4.7-any)fusedMGM_0.1.2.tar.gz(r-4.6-any)
fusedMGM_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
fusedMGM/json (API)

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

On CRAN:

Conda:

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

1.00 score 217 downloads 5 exports 31 dependencies

Last updated from:2c4940eb88. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE143
source / vignettesOK154
linux-release-x86_64NOTE137
macos-release-arm64NOTE122
macos-oldrel-arm64NOTE132
windows-develNOTE100
windows-releaseNOTE89
windows-oldrelNOTE99
wasm-releaseOK114

Exports:FMGM_mcFMGM_plotFMGM_StEPSmake_MGM_listMGM

Dependencies:BHbigalgebrabiganalyticsbiglmbigmemorybigmemory.sribitopscaToolsclicodetoolsdata.tableDBIfastDummiesforeachgluegplotsgtoolsiteratorsKernSmoothlifecyclemagrittrpillarpkgconfigRcpprlangstringistringrtibbleutf8uuidvctrs