Package: GMCM 1.4.1

Anders Ellern Bilgrau

GMCM: Fast Estimation of Gaussian Mixture Copula Models

Unsupervised Clustering and Meta-analysis using Gaussian Mixture Copula Models.

Authors:Anders Ellern Bilgrau [aut, cre, cph], Poul Svante Eriksen [ths, ctb], Martin Boegsted [ths, ctb]

GMCM_1.4.1.tar.gz
GMCM_1.4.1.zip(r-4.7-x86_64)GMCM_1.4.1.zip(r-4.7-arm64)GMCM_1.4.1.zip(r-4.6-x86_64)GMCM_1.4.1.zip(r-4.6-arm64)
GMCM_1.4.1.tar.gz(r-4.7-arm64)GMCM_1.4.1.tar.gz(r-4.7-x86_64)GMCM_1.4.1.tar.gz(r-4.6-arm64)GMCM_1.4.1.tar.gz(r-4.6-x86_64)
GMCM_1.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
GMCM/json (API)

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

Bug tracker:https://github.com/aebilgrau/gmcm/issues

Pkgdown/docs site:https://aebilgrau.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • freshVsFrozen - Reproducibility between Fresh and Frozen B-cell subtypes
  • u133VsExon - Reproducibility between U133 plus 2 and Exon microarrays

On CRAN:

Conda:

openblascpp

4.48 score 3 stars 67 scripts 518 downloads 1 mentions 23 exports 3 dependencies

Last updated from:16436de561. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK138
linux-devel-x86_64OK165
source / vignettesOK232
linux-release-arm64OK124
linux-release-x86_64OK158
windows-devel-arm64OK225
windows-devel-x86_64OK237
windows-release-arm64OK238
windows-release-x86_64OK112
wasm-releaseOK125

Exports:as.thetachoose.thetaclassifycolSdsdmvnormalEMAlgorithmfit.full.GMCMfit.general.GMCMfit.meta.GMCMfit.special.GMCMfull2metaget.IDRget.probgoodness.of.fitis.thetameta2fullrmvnormalrowSdsrthetarunGMCMSimulateGMCMDataSimulateGMMDataUhat

Dependencies:ellipseRcppRcppArmadillo

GMCM shiny application
Rendered fromusage-shiny-graphical-interface.Rmdusingknitr::rmarkdown

Last update: 2026-08-25
Started: 2019-11-05

Meta analysis with special GMCMs
Initialization | Loading data | Initial parameters | Model fitting | Meta analysis with unsupervised clustering | Results | Session information | References
Rendered fromusage-example-special-model.Rmdusingknitr::rmarkdown

Last update: 2026-08-25
Started: 2019-11-05

Unsupervised clustering with general GMCMs
Initialization | Simulation of data | Initial parameters | Model fitting | Unsupervised clustering | Results | Session information | References
Rendered fromusage-example-general-model.Rmdusingknitr::rmarkdown

Last update: 2026-08-25
Started: 2019-11-05