Package: bayesImageS
Type: Package
Title: Bayesian Methods for Image Segmentation using a Potts Model
Version: 0.7-2
Date: 2026-04-29
Encoding: UTF-8
Authors@R: c(
    person("Matt", "Moores", role = c("aut", "cre", "cph"), email = "mmoores@gmail.com", comment = c(ORCID = "0000-0003-4531-3572")),
    person("Dai", "Feng", role="ctb"),
    person("Kerrie", "Mengersen", role=c("aut", "ths"), email="k.mengersen@qut.edu.au", comment = c(ORCID = "0000-0001-8625-9168")))
Description: Various algorithms for segmentation of 2D and 3D images,
        such as computed tomography and satellite remote sensing. This
        package implements Bayesian image analysis using the hidden
        Potts model with external field prior of Moores et al. (2015)
        <doi:10.1016/j.csda.2014.12.001>. Latent labels are sampled
        using chequerboard updating or Swendsen-Wang. Algorithms for
        the smoothing parameter include pseudolikelihood, path
        sampling, the exchange algorithm, approximate Bayesian
        computation (ABC-MCMC and ABC-SMC), and the parametric
        functional approximate Bayesian (PFAB) algorithm. Refer to
        Moores, Pettitt & Mengersen (2020)
        <doi:10.1007/978-3-030-42553-1_6> for an overview and also to
        <doi:10.1007/s11222-014-9525-6> and <doi:10.1214/18-BA1130> for
        further details of specific algorithms.
License: GPL (>= 2) | file LICENSE
URL: https://bitbucket.org/Azeari/bayesimages,
        https://mooresm.github.io/bayesImageS/
BugReports: https://bitbucket.org/Azeari/bayesimages/jira
LazyData: true
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.12)
LinkingTo: Rcpp, RcppArmadillo
Suggests: mcmcse, coda, PottsUtils, rstan, knitr, rmarkdown, rticles,
        lattice
VignetteBuilder: knitr
RoxygenNote: 7.3.3
Repository: https://mooresm.r-universe.dev
Date/Publication: 2026-04-29 23:45:26 UTC
RemoteUrl: https://bitbucket.org/azeari/bayesimages
RemoteRef: HEAD
RemoteSha: 33411bfb0dcbecaf433e6eed572c7652d5619ea4
NeedsCompilation: yes
Packaged: 2026-10-01 10:21:22 UTC; root
Author: Matt Moores [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0003-4531-3572>),
  Dai Feng [ctb],
  Kerrie Mengersen [aut, ths] (ORCID:
    <https://orcid.org/0000-0001-8625-9168>)
Maintainer: Matt Moores <mmoores@gmail.com>