Ultimixt 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 Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year Weakly informative reparameterizations for location-scale mixtures. Zbl 07498995Kamary, Kaniav; Lee, Jeong Eun; Robert, Christian P. 2018 Cited by 2 Authors 1 Kamary, Kaniav 1 Lee, Jeong Eun Cited in 1 Serial 1 Journal of Computational and Graphical Statistics Cited in 1 Field 1 Statistics (62-XX) Citations by Year