R Development Page
Contributed R Packages
Below is a list of all packages provided by project MGMM.
Important note for package binaries: R-Forge provides these binaries only for the most recent version of R, but not for older versions. In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources (.tar.gz).
Mutliple Clustering with Mixture Model per Blocs
|Multiple model-based clustering is achieved by splitting the variables into blocks. Each block of variables is modelled by a mixture model for achieving the clustering purpose. Model selection (block repartition, number of components and number of blocks) is managed with information criteria (penalized likelihood or MICL). Parameter inference is done by maximum likelihood.|
|Version: 0.1.0 | Last change: 2018-04-19 16:12:46+02 | Rev.: 2|
|Download: (.tar.gz) | (.zip) | Build status: Current|
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