Description Usage Arguments Value Note Author(s) Examples
Generates a Markov Chain of random fields and returns the sufficient statistics for each of the observations.
This function automatizes the process of generating a random sample of MRFs
to be used in MonteCarlo methods by wrapping rmrf2d
and executing it multiple time while storing sufficient statistics instead
of the entire lattice.
1 
init_Z 
One of two options:

mrfi 
A 
theta 
A 3dimensional array describing potentials. Slices represent
interacting positions, rows represent pixel values and columns represent
neighbor values. As an example: 
family 
The family of parameter restrictions to potentials. Families
are:

nmc 
Number of samples to be stored. 
burnin 
Number of cycles iterated before start collecting sufficient statistics. 
cycles 
Number of cycles between collected samples. 
A matrix where each row contains the vector of sufficient statistics for an observation.
Fixed regions and incomplete lattices are not supported.
Victor Freguglia
1  rmrf2d_mc(c(80, 80), mrfi(1), theta_potts, family = "oneeach", nmc = 8)

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