mcmc-em

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anjalisilva / MPLNClust

R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model

data-visualization model-selection data-simulation r-package mixture-model heatmaps bic posterior-probability aic model-based-clustering count-data icl shinyapp lineplot mcmc-em mpln-distribution variational-em aic3

Updated Sep 18, 2024
R

R Package to Perform Clustering of Three-way Count Data Using Mixtures of Matrix Variate Poisson-log Normal Model With Parameter Estimation via MCMC-EM, Variational Gaussian Approximations, or a Hybrid Approach Combining Both.

visualization clustering data-simulation stan matrix-variate-distributions model-based-clustering count-data modelselection mixture-models mcmc-em variational-gaussian

Updated Sep 18, 2024
R

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mcmc-em

Here are 2 public repositories matching this topic...

anjalisilva / MPLNClust

anjalisilva / mixMVPLN

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