Package: bgmm
Type: Package
Title: Gaussian Mixture Modeling Algorithms and the Belief-Based
        Mixture Modeling
Version: 1.8.4
Date: 2020-03-03
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 
        <doi:10.18637/jss.v047.i03>.
Maintainer: Przemyslaw Biecek <Przemyslaw.Biecek@gmail.com>
Depends: R (>= 2.0), mvtnorm, car, lattice, combinat
Suggests: testthat
URL: http://bgmm.molgen.mpg.de/
License: GPL-3
Repository: CRAN
NeedsCompilation: no
Packaged: 2020-03-03 11:56:02 UTC; p.biecek
Date/Publication: 2020-03-03 13:00:02 UTC
