# R package bayesImageS

My R package, **bayesImageS** version 0.1-21, is now available online. It uses a hidden Potts model with additive Gaussian noise for image segmentation of 2D and 3D datasets. The latent labels **z** can be simulated using chequerboard updating or the Swendsen-Wang algorithm. Several methods for full Bayesian inference with intractable likelihoods are supported, including pseudolikelihood, the exchange algorithm, path sampling, and approximate Bayesian computation (ABC-MCMC & ABC-SMC).

The R source package is released under the GNU General Public License, version 2. Its computational engine is implemented in C++ using RcppArmadillo and OpenMP. There is zero documentation available at present, but I’m working on that…

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