Package: Ultimixt
Type: Package
Title: Bayesian Analysis of Location-Scale Mixture Models using a
        Weakly Informative Prior
Version: 2.1
Date: 2017-03-07
Author: Kaniav Kamary, Kate Lee
Maintainer: Kaniav Kamary <kamary@ceremade.dauphine.fr>
Depends: coda, gtools, graphics, grDevices, stats
Description: 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.
License: GPL (>= 2.0)
NeedsCompilation: no
Packaged: 2017-03-08 20:42:00 UTC; kkamary
Repository: CRAN
Date/Publication: 2017-03-09 00:33:27
Built: R 4.6.0; ; 2026-04-25 13:07:03 UTC; unix
