{"repo":"anjalisilva/MPLNClust","free":true,"listed":false,"github":"https://github.com/anjalisilva/MPLNClust","clone":"git clone https://github.com/anjalisilva/MPLNClust.git","description":"R Package With Shiny App: Permit to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model","language":"R","stars":18,"topics":["count-data","mpln-distribution","mcmc-em","icl","aic","mixture-model","variational-em","bic","aic3","model-based-clustering"],"license":null,"category":"analytics","readme_excerpt":"MPLNClust Finite Mixtures of Multivariate Poisson-Log Normal Model for Clustering Count Data Description MPLNClust is an R package for performing clustering using finite mixtures of multivariate Poisson-log normal (MPLN) distribution proposed by Silva et al., 2019. It was developed for count data, with clustering of RNA sequencing data as a motivation. However, the clustering method may be applied to other types of count data. The package provides functions for functions for parameter estimation via 1) an MCMC-EM framework by Silva et al., 2019 and 2) a variational Gaussian approximation with EM algorithm by Subedi and Browne, 2020. Information criteria (AIC, BIC, AIC3 and ICL) and slope heuristics (Djump and DDSE, if more than 10 models are considered) are offered for model selection. Also included are functions for simulating data from this model and visualization. Installation To install the latest version of the package: To run the Shiny app: Overview To list all functions available in the package: MPLNClust contains 14 functions. 1. mplnVariational for carrying out clustering of count data using mixtures of MPLN via variational expectation-maximization 2. mplnMCMCParallel for carrying out clustering of count data using mixtures of MPLN via a Markov chain Monte Carlo expectation-maximization algorithm (MCMC-EM) with parallelization 3. mplnMCMCNonParallel for carrying out clustering of count data using mixtures of MPLN via a Markov chain Monte Carlo expectation-maximizatio","default_branch":null,"files":null,"tree":[],"storefront":"/r/anjalisilva","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/anjalisilva/MPLNClust/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}