Other packages > Find by keyword >

bayesImageS  

Bayesian Methods for Image Segmentation using a Potts Model
View on CRAN: Click here


Download and install bayesImageS package within the R console
Install from CRAN:
install.packages("bayesImageS")

Install from Github:
library("remotes")
install_github("cran/bayesImageS")

Install by package version:
library("remotes")
install_version("bayesImageS", "0.7-0")



Attach the package and use:
library("bayesImageS")
Maintained by
Matt Moores
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-03
Latest Update: 2021-04-11
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) . 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 for an overview and also to and for further details of specific algorithms.
How to cite:
Matt Moores (2016). bayesImageS: Bayesian Methods for Image Segmentation using a Potts Model. R package version 0.7-0, https://cran.r-project.org/web/packages/bayesImageS. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.3-3 (2016-11-03 20:27), 0.4-0 (2017-03-21 16:13), 0.4-1 (2017-10-19 19:44), 0.5-0 (2018-01-26 16:28), 0.5-1 (2018-02-02 17:32), 0.5-2 (2018-06-07 15:51), 0.5-3 (2018-08-30 07:35), 0.6-0 (2019-01-04 12:20), 0.6-1 (2021-04-11 17:10), 0.7-0 (2025-10-10 10:30)
Other packages that cited bayesImageS R package
View bayesImageS citation profile
Other R packages that bayesImageS depends, imports, suggests or enhances
Complete documentation for bayesImageS
Functions, R codes and Examples using the bayesImageS R package
Some associated functions: bayesImageS . exactPotts . getBlocks . getEdges . getNeighbors . gibbsGMM . gibbsNorm . gibbsPotts . initSedki . mcmcPotts . mcmcPottsNoData . res . res2 . res3 . res4 . res5 . smcPotts . sufficientStat . swNoData . synth . testResample . 
Some associated R codes: bayesImageS.R . data.R . getBlocks.R . getEdges.R . getNeighbors.R . mcmcPotts.R . smcPotts.R .  Full bayesImageS package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA