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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 <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.
Version: | 0.6-1 |
Depends: | R (≥ 3.5.0) |
Imports: | Rcpp (≥ 0.10.6) |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | mcmcse, coda, PottsUtils, rstan, knitr, rmarkdown, lattice |
Published: | 2021-04-11 |
DOI: | 10.32614/CRAN.package.bayesImageS |
Author: | Matt Moores [aut, cre], Dai Feng [ctb], Kerrie Mengersen [aut, ths] |
Maintainer: | Matt Moores <mmoores at gmail.com> |
BugReports: | https://bitbucket.org/Azeari/bayesimages/issues |
License: | GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE] |
URL: | https://bitbucket.org/Azeari/bayesimages, https://mooresm.github.io/bayesImageS/ |
NeedsCompilation: | yes |
Citation: | bayesImageS citation info |
Materials: | README NEWS |
In views: | Bayesian, MedicalImaging |
CRAN checks: | bayesImageS results |
Reference manual: | bayesImageS.pdf |
Vignettes: |
Bayesian Methods for Image Segmentation mcmcPotts mcmcPottsNoData swNoData |
Package source: | bayesImageS_0.6-1.tar.gz |
Windows binaries: | r-devel: bayesImageS_0.6-1.zip, r-release: bayesImageS_0.6-1.zip, r-oldrel: bayesImageS_0.6-1.zip |
macOS binaries: | r-release (arm64): bayesImageS_0.6-1.tgz, r-oldrel (arm64): bayesImageS_0.6-1.tgz, r-release (x86_64): bayesImageS_0.6-1.tgz, r-oldrel (x86_64): bayesImageS_0.6-1.tgz |
Old sources: | bayesImageS archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.