R Observatory: Metrics for bayesImageS version 0.7-1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bayesImageS

0.7-1

Bayesian Methods for Image Segmentation using a Potts Model

0packages depend

6.6Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Matt MooresFirst published 2016-11-0311 releasesCRAN page ↗Bitbucket ↗

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.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("bayesImageS", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bayesimages

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-bayesImageS

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-bayesImageS

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 4.3 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

1

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-04-22
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Show 1 earlier snapshots

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 223 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 97%
Return-value docs: 100%
References docs: 33%

Downloads

6.6K

CRAN downloads in the past year

Rank #4,833 · ~18/day · ~551/mo

Releases R versions

Daily download trend is not available in this view yet.

36830 days

1.6K90 days

6.6K1 year

Compare downloads with other packages →

Also on528 r2u56 autocran81 c2d4u

Repository

Bitbucket ↗ azeari/bayesimages

Repository practices

Upstream repositoryBeta

Repository bitbucket.org/azeari/bayesimages is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (1)

Rcpp

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (7)

mcmcse coda PottsUtils rstan knitr rmarkdownlattice

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Matt Moores

Author, Maintainer, Copyright holder

Authors (2)

Matt Moores

Author, Maintainer, Copyright holder

Kerrie Mengersen

Author, Thesis advisor

Contributors (1)

Dai Feng

Contributor · added in 0.4-0

Copyright holders (1)

Matt Moores

Author, Maintainer, Copyright holder

Package Timeline

11 releases. Pick two to compare their code metrics. R releases are shown for context.

0.7-1Latest
2026-04-29 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.7-0
2025-10-10 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.6-1
2021-04-11 · diff ↗
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
0.6-0
2019-01-04 · diff ↗
0.5-3
2018-08-30 · diff ↗
0.5-2
2018-06-07 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.5-1
2018-02-02 · diff ↗

Show 6 earlier events

0.5-0
2018-01-26 · diff ↗
0.4-1
2017-10-19 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.4-0
2017-03-21 · diff ↗
0.3-3
2016-11-03
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2016-11-03
Total releases: 11 / 10 yrs
License: GPL (>= 2) | file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 1.5 MB / 6 files
Download size: 2.1 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Bayesian Inference Medical Image Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bayesImageS")

Format

Moores, M., Feng, D., & Mengersen, K. (2026). bayesImageS: Bayesian Methods for Image Segmentation using a Potts Model (Version 0.7-1) [Computer software]. https://doi.org/10.32614/CRAN.package.bayesImageS

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for bayesImageS version 0.7-1 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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