anjalisilva/mixMVPLN: Mixtures of Matrix Variate Poisson-log Normal Distributions
Performs model-based clustering using mixtures of matrix variate Poisson-log normal (MVPLN) model. Markov chain Monte Carlo expectation-maximization algorithm (MCMC-EM) is used for parameter estimation. Information criteria (AIC, BIC, AIC3 and ICL) are offered for model selection.
Getting started
Browse package contents
Package details |
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| Bioconductor views | Software StatisticalMethod |
| Maintainer | Anjali Silva <anjali.silva@uhnresearch.ca> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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