Induced Priors in Bayesian Mixture Models

Computes implicitly induced quantities from prior/hyperparameter specifications of three Mixtures of Finite Mixtures models: Dirichlet Process Mixtures (DPMs; Escobar and West (1995) ), Static Mixtures of Finite Mixtures (Static MFMs; Miller and Harrison (2018) ), and Dynamic Mixtures of Finite Mixtures (Dynamic MFMs; Frühwirth-Schnatter, Malsiner-Walli and Grün (2020) ). For methodological details, please refer to Greve, Grün, Malsiner-Walli and Frühwirth-Schnatter (2020) ) as well as the package vignette.


Reference manual

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1.0.0 by Jan Greve, a year ago

Browse source code at

Authors: Jan Greve [aut, cre] , Bettina Grün [ctb] , Gertraud Malsiner-Walli [ctb] , Sylvia Frühwirth-Schnatter [ctb]

Documentation:   PDF Manual  

GPL-2 license

Imports Rcpp, stats, matrixStats

Suggests knitr, rmarkdown

Linking to Rcpp, RcppArmadillo

See at CRAN