Package: mcclust
Type: Package
Title: Process an MCMC Sample of Clusterings
Version: 1.0.1
Date: 2009-05-22
Author: Arno Fritsch
Depends: R (>= 2.10), lpSolve
Maintainer: Arno Fritsch <arno.fritsch@tu-dortmund.de>
Description: Implements methods for processing a sample of (hard)
        clusterings, e.g. the MCMC output of a Bayesian clustering
        model. Among them are methods that find a single best
        clustering to represent the sample, which are based on the
        posterior similarity matrix or a relabelling algorithm.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2022-05-02 10:08:07 UTC; hornik
Repository: CRAN
Date/Publication: 2022-05-02 13:01:54 UTC
NeedsCompilation: yes
Built: R 4.4.2; x86_64-w64-mingw32; 2024-11-12 11:12:45 UTC; windows
Archs: x64
