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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install.packages("Ultimixt")

2.1 by Kaniav Kamary, 2 years ago


Browse source code at https://github.com/cran/Ultimixt


Authors: Kaniav Kamary , Kate Lee


Documentation:   PDF Manual  


GPL (>= 2.0) license


Depends on coda, gtools, graphics, grDevices, stats


See at CRAN