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 (2021) <doi:10.1214/21-ba1294>). For methodological details, please refer to Greve, Grün, Malsiner-Walli and Frühwirth-Schnatter (2022) <doi:10.1111/anzs.12350>) as well as the package vignette.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | fipp_1.0.1.tar.gz |
236.0 KiB |
1.0.1 |
rolling linux/noble R-4.5 | fipp_1.0.1.tar.gz |
237.0 KiB |
1.0.1 |
rolling source/ R- | fipp_1.0.1.tar.gz |
175.0 KiB |
1.0.1 |
latest linux/jammy R-4.5 | fipp_1.0.1.tar.gz |
236.0 KiB |
1.0.1 |
latest linux/noble R-4.5 | fipp_1.0.1.tar.gz |
237.0 KiB |
1.0.1 |
latest source/ R- | fipp_1.0.1.tar.gz |
175.0 KiB |
1.0.1 |
2026-04-23 source/ R- | fipp_1.0.1.tar.gz |
0 B |
1.0.0 |
2025-04-20 source/ R- | fipp_1.0.0.tar.gz |
88.3 KiB |