Ultimixt

R package Ultimixt: Bayesian Analysis of Location-Scale Mixture Models using a Weakly Informative Prior. A generic reference Bayesian analysis of unidimensional mixture distributions obtained by a location-scale parameterisation of the model is implemented. The including functions simulate and summarize posterior samples for location-scale mixture models using a weakly informative prior. There is no need to define priors for scale-location parameters except two hyperparameters in which are associated with a Dirichlet prior for weights and a simplex.

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References in zbMATH (referenced in 1 article , 1 standard article )

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  1. Kamary, Kaniav; Lee, Jeong Eun; Robert, Christian P.: Weakly informative reparameterizations for location-scale mixtures (2018)