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.

Install the latest version of this package by entering the following in R:
AuthorKaniav Kamary, Kate Lee
Date of publication2017-03-09 00:33:27
MaintainerKaniav Kamary <kamary@ceremade.dauphine.fr>
LicenseGPL (>= 2.0)

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