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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.
Package details |
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Author | Kaniav Kamary, Kate Lee |
Maintainer | Kaniav Kamary <kamary@ceremade.dauphine.fr> |
License | GPL (>= 2.0) |
Version | 2.1 |
Package repository | View on CRAN |
Installation |
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