bgmm : Gaussian Mixture Modeling Algorithms And The Belief-based Mixture Modeling

Package: bgmm
Type: Package
Title: Gaussian Mixture Modeling Algorithms And The Belief-based
Mixture Modeling
Version: 1.7
Date: 2014-08-18
Author: Przemyslaw Biecek & Ewa Szczurek
Description: 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.
Maintainer: Przemyslaw Biecek <Przemyslaw.Biecek@gmail.com>
Depends: R (>= 2.0), mvtnorm, car, lattice, combinat
URL: http://bgmm.molgen.mpg.de/
License: GPL-3
Repository: CRAN
Packaged: 2014-12-19 11:25:05 UTC; pbiecek
NeedsCompilation: no
Date/Publication: 2014-12-19 15:57:54