smcPotts {bayesImageS} | R Documentation |
Fit the hidden Potts model using approximate Bayesian computation with sequential Monte Carlo (ABC-SMC).
smcPotts(
y,
neighbors,
blocks,
param = list(npart = 10000, nstat = 50),
priors = NULL
)
y |
A vector of observed pixel data. |
neighbors |
A matrix of all neighbors in the lattice, one row per pixel. |
blocks |
A list of pixel indices, dividing the lattice into independent blocks. |
param |
A list of options for the ABC-SMC algorithm. |
priors |
A list of priors for the parameters of the model. |
A matrix containing SMC samples for the parameters of the Potts model.