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fipp  

Induced Priors in Bayesian Mixture Models
View on CRAN: Click here


Download and install fipp package within the R console
Install from CRAN:
install.packages("fipp")

Install from Github:
library("remotes")
install_github("cran/fipp")

Install by package version:
library("remotes")
install_version("fipp", "1.0.0")



Attach the package and use:
library("fipp")
Maintained by
Jan Greve
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-11
Latest Update: 2021-02-11
Description:
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; Fr
How to cite:
Jan Greve (2021). fipp: Induced Priors in Bayesian Mixture Models. R package version 1.0.0, https://cran.r-project.org/web/packages/fipp. Accessed 11 Mar. 2026.
Previous versions and publish date:
1.0.0 (2021-02-11 11:30)
Other packages that cited fipp R package
View fipp citation profile
Other R packages that fipp depends, imports, suggests or enhances
Complete documentation for fipp
Functions, R codes and Examples using the fipp R package
Some associated functions: dbnb . fipp . nClusters . 
Some associated R codes: RcppExports.R . fipp.R . utils.R .  Full fipp package functions and examples
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