bayesImageS             Package bayesImageS
exactPotts              Calculate the distribution of the Potts model
                        using a brute force algorithm.
getBlocks               Get Blocks of a Graph
getEdges                Get Edges of a Graph
getNeighbors            Get Neighbours of All Vertices of a Graph
gibbsGMM                Fit a mixture of Gaussians to the observed
                        data.
gibbsNorm               Fit a univariate normal (Gaussian) distribution
                        to the observed data.
gibbsPotts              Fit a hidden Potts model to the observed data,
                        using a fixed value of beta.
initSedki               Initialize the ABC algorithm using the method
                        of Sedki et al. (2013)
mcmcPotts               Fit the hidden Potts model using a Markov chain
                        Monte Carlo algorithm.
mcmcPottsNoData         Simulate pixel labels using chequerboard Gibbs
                        sampling.
res                     Simulation from the Potts model using
                        single-site Gibbs updates.
res2                    Simulation from the Potts model using
                        single-site Gibbs updates.
res3                    Simulation from the Potts model using
                        single-site Gibbs updates.
res4                    Simulation from the Potts model using
                        single-site Gibbs updates.
res5                    Simulation from the Potts model using
                        single-site Gibbs updates.
smcPotts                Fit the hidden Potts model using approximate
                        Bayesian computation with sequential Monte
                        Carlo (ABC-SMC).
sufficientStat          Calculate the sufficient statistic of the Potts
                        model for the given labels.
swNoData                Simulate pixel labels using the Swendsen-Wang
                        algorithm.
synth                   Simulation from the Potts model using
                        Swendsen-Wang.
testResample            Test the residual resampling algorithm.
