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GitHub / anjalisilva / mixMVPLN
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.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anjalisilva%2FmixMVPLN
Stars: 7
Forks: 0
Open Issues: 0
License: other
Language: R
Repo Size: 2.1 MB
Dependencies:
16
Created: almost 6 years ago
Updated: 9 months ago
Last pushed: 6 months ago
Last synced: about 2 months ago
Topics: clustering, count-data, data-simulation, matrix-variate-distributions, mcmc-em, mixture-models, model-based-clustering, modelselection, stan, variational-gaussian, visualization
Files
Dependencies
- R >= 3.4.0 depends
- Rcpp >= 0.12.0 depends
- RColorBrewer * imports
- cluster * imports
- coda * imports
- edgeR * imports
- ggplot2 * imports
- mclust * imports
- mvtnorm * imports
- parallel * imports
- reshape * imports
- rstan >= 2.18.1 imports
- utils * imports
- knitr * suggests
- rmarkdown * suggests
- testthat * suggests