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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, r-oldrel (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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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