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.


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install.packages("fipp")

1.0.0 by Jan Greve, 8 months ago


Browse source code at https://github.com/cran/fipp


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