swMATH ID: 41729
Software Authors: Kaniav Kamary, Kate Lee
Description: R package Ultimixt: 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.
Homepage: https://cran.r-project.org/web/packages/Ultimixt/index.html
Source Code:  https://github.com/cran/Ultimixt
Dependencies: R
Related Software: CATMAN; mixtools; bayesm
Cited in: 1 Publication

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