CRAN/E | fipp

fipp

Induced Priors in Bayesian Mixture Models

Installation

About

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) ). For methodological details, please refer to Greve, Grün, Malsiner-Walli and Frühwirth-Schnatter (2020) ) as well as the package vignette.

Key Metrics

Version 1.0.0
R ≥ 3.5.0
Published 2021-02-11 953 days ago
Needs compilation? yes
License GPL-2
CRAN checks fipp results

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Maintainer

Maintainer

Jan Greve

jan.greve@wu.ac.at

Authors

Jan Greve

aut / cre

Bettina Grün

ctb

Gertraud Malsiner-Walli

ctb

Sylvia Frühwirth-Schnatter

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

fipp Crash Course

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.5.0

Imports

Rcpp
stats
matrixStats

Suggests

knitr
rmarkdown

LinkingTo

Rcpp
RcppArmadillo