Package: fipp
Title: Induced Priors in Bayesian Mixture Models
Version: 1.0.1
Authors@R: 
    c(person(given = "Jan", family = "Greve", role = c("aut", "cre"),
             email = "jangre@uio.no"),
      person(given = "Bettina", family = "Grün", role = "ctb",
             comment = c(ORCID = "0000-0001-7265-4773")),
      person(given = "Gertraud", family = "Malsiner-Walli", role = "ctb",
             comment = c(ORCID = "0000-0002-1213-4749")),
      person(given = "Sylvia", family = "Frühwirth-Schnatter", role = "ctb",
             comment = c(ORCID = "0000-0003-0516-5552")))
Description: 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.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, stats, matrixStats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
Config/testthat/edition: 3
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2026-08-04 09:06:59 UTC; jan
Author: Jan Greve [aut, cre],
  Bettina Grün [ctb] (ORCID: <https://orcid.org/0000-0001-7265-4773>),
  Gertraud Malsiner-Walli [ctb] (ORCID:
    <https://orcid.org/0000-0002-1213-4749>),
  Sylvia Frühwirth-Schnatter [ctb] (ORCID:
    <https://orcid.org/0000-0003-0516-5552>)
Maintainer: Jan Greve <jangre@uio.no>
Repository: CRAN
Date/Publication: 2026-08-04 13:20:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-08-04 16:00:07 UTC; unix
Archs: fipp.so.dSYM
