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) doi:10.48550/arXiv.2005.09918). For methodological details, please refer to Greve, Grün, Malsiner-Walli and Frühwirth-Schnatter (2020) doi:10.48550/arXiv.2012.12337 as well as the package vignette.
- Version1.0.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release02/11/2021
Documentation
Team
Jan Greve
Bettina Grün
Show author detailsRolesContributorGertraud Malsiner-Walli
Show author detailsRolesContributorSylvia Frühwirth-Schnatter
Show author detailsRolesContributor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages
- Suggests2 packages
- Linking To2 packages