Ultimixt (2.1)

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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.

Maintainer: Kaniav Kamary
Author(s): Kaniav Kamary, Kate Lee

License: GPL (>= 2.0)

Uses: coda, gtools

Released over 2 years ago.

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