GMCM: Fast Estimation of Gaussian Mixture Copula Models

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

Version: 1.4
Imports: Rcpp (≥ 0.10.6), ellipse
LinkingTo: Rcpp, RcppArmadillo
Suggests: idr, Hmisc, RColorBrewer, foreach, jpeg, testthat (≥ 0.3), knitr, rmarkdown, shiny, shinydashboard, shinyBS, rhandsontable, DT
Published: 2019-11-05
Author: Anders Ellern Bilgrau ORCID iD [aut, cre, cph], Poul Svante Eriksen ORCID iD [ths, ctb], Martin Boegsted [ths, ctb]
Maintainer: Anders Ellern Bilgrau <anders.ellern.bilgrau at gmail.com>
BugReports: https://github.com/AEBilgrau/GMCM/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/AEBilgrau/GMCM
NeedsCompilation: yes
Citation: GMCM citation info
Materials: README NEWS
In views: Cluster, MetaAnalysis
CRAN checks: GMCM results

Documentation:

Reference manual: GMCM.pdf
Vignettes: Unsupervised clustering with general GMCMs
Meta analysis with special GMCMs
GMCM shiny application
An Introduction to GMCM

Downloads:

Package source: GMCM_1.4.tar.gz
Windows binaries: r-devel: GMCM_1.4.zip, r-release: GMCM_1.4.zip, r-oldrel: GMCM_1.4.zip
macOS binaries: r-release (arm64): GMCM_1.4.tgz, r-oldrel (arm64): GMCM_1.4.tgz, r-release (x86_64): GMCM_1.4.tgz
Old sources: GMCM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GMCM to link to this page.