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fipp: 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) <doi:10.1080/01621459.1995.10476550>), Static Mixtures of Finite Mixtures (Static MFMs; Miller and Harrison (2018) <doi:10.1080/01621459.2016.1255636>), and Dynamic Mixtures of Finite Mixtures (Dynamic MFMs; Frühwirth-Schnatter, Malsiner-Walli and Grün (2020) <arXiv:2005.09918>). For methodological details, please refer to Greve, Grün, Malsiner-Walli and Frühwirth-Schnatter (2020) <arXiv:2012.12337>) as well as the package vignette.
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Package details |
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| Author | Jan Greve [aut, cre], Bettina Grün [ctb] (<https://orcid.org/0000-0001-7265-4773>), Gertraud Malsiner-Walli [ctb] (<https://orcid.org/0000-0002-1213-4749>), Sylvia Frühwirth-Schnatter [ctb] (<https://orcid.org/0000-0003-0516-5552>) |
| Maintainer | Jan Greve <jan.greve@wu.ac.at> |
| License | GPL-2 |
| Version | 1.0.0 |
| Package repository | View on CRAN |
| Installation |
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