The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

bgmm: Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling

Two partially supervised mixture modeling methods: soft-label and belief-based modeling are implemented. For completeness, we equipped the package also with the functionality of unsupervised, semi- and fully supervised mixture modeling. The package can be applied also to selection of the best-fitting from a set of models with different component numbers or constraints on their structures. For detailed introduction see: Przemyslaw Biecek, Ewa Szczurek, Martin Vingron, Jerzy Tiuryn (2012), The R Package bgmm: Mixture Modeling with Uncertain Knowledge, Journal of Statistical Software <doi:10.18637/jss.v047.i03>.

Version: 1.8.5
Depends: R (≥ 2.0), mvtnorm, car, lattice, combinat
Suggests: testthat
Published: 2021-10-10
DOI: 10.32614/CRAN.package.bgmm
Author: Przemyslaw Biecek \& Ewa Szczurek
Maintainer: Przemyslaw Biecek <Przemyslaw.Biecek at gmail.com>
License: GPL-3
URL: http://bgmm.molgen.mpg.de/
NeedsCompilation: no
Citation: bgmm citation info
In views: Cluster
CRAN checks: bgmm results

Documentation:

Reference manual: bgmm.pdf

Downloads:

Package source: bgmm_1.8.5.tar.gz
Windows binaries: r-devel: bgmm_1.8.5.zip, r-release: bgmm_1.8.5.zip, r-oldrel: bgmm_1.8.5.zip
macOS binaries: r-release (arm64): bgmm_1.8.5.tgz, r-oldrel (arm64): bgmm_1.8.5.tgz, r-release (x86_64): bgmm_1.8.5.tgz, r-oldrel (x86_64): bgmm_1.8.5.tgz
Old sources: bgmm archive

Reverse dependencies:

Reverse imports: ggrasp

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bgmm 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.
Health stats visible at Monitor.