The MMPCA package implements the branch & bound classification-Variational Expectation Maximisation algorithm described in Jouvin et. al. https://arxiv.org/abs/1909.00721. It enables the clustering of counts data such as document/term matrix modeled as a mixture of multinomial PCA model. Model selection is performed via an approximated form of the Integrated Classification Likelihood. .

The main entry point is the `mmpca_clust`

() function to perfom
the clustering.

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