Package: fusedMGM
Type: Package
Title: Implementation of Fused MGM to Infer 2-Class Networks
Version: 0.1.2
RoxygenNote: 7.3.2
Maintainer: Jaehyun Park <J.31.Park@gmail.com>
Authors@R: c(person(given="Jaehyun", family="Park", email="J.31.Park@gmail.com",
					role=c("aut", "cre", "cph"), comment=c(ORCID="0000-0003-2900-8340")),
			person(given="Sungho", family="Won", email="sunghow@gmail.com",
					role=c("ths")))			
License: MIT + file LICENSE
Imports: fastDummies, parallel, bigmemory, gplots, bigalgebra,
        biganalytics
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)
        <doi:10.48550/arXiv.2208.14959>.
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-21 10:40:43 UTC; root
Author: Jaehyun Park [aut, cre, cph]
        (<https://orcid.org/0000-0003-2900-8340>), Sungho Won [ths]
Config/pak/sysreqs: libicu-dev
Repository: https://jaehyunparkbiostat.r-universe.dev
Date/Publication: 2024-10-17 15:20:02 UTC
RemoteUrl: https://github.com/cran/fusedMGM
RemoteRef: HEAD
RemoteSha: 2c4940eb88bc2b3ddf761ee7cc35239dc6b1355d