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A generic reference Bayesian analysis of unidimensional mixture distributions obtained by a locationscale parameterisation of the model is implemented. The including functions simulate and summarize posterior samples for locationscale mixture models using a weakly informative prior. There is no need to define priors for scalelocation parameters except two hyperparameters in which are associated with a Dirichlet prior for weights and a simplex.
Package details 


Author  Kaniav Kamary, Kate Lee 
Date of publication  20170309 00:33:27 
Maintainer  Kaniav Kamary <kamary@ceremade.dauphine.fr> 
License  GPL (>= 2.0) 
Version  2.1 
Package repository  View on CRAN 
Installation 
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