nference Tools for Markov Random Fields on Lattices: The R Package mrf2d

nference Tools for Markov Random Fields on Lattices: The R Package mrf2d

Markov random fields, image analysis, R, Gibbs random fields, Potts model, texture

Markov random fields on two-dimensional lattices are behind many image analysis
methodologies. mrf2d provides tools for statistical inference on a class of discrete stationary Markov random field models with pairwise interaction, which includes many of the
popular models such as the Potts model and texture image models. The package introduces representations of dependence structures and parameters, visualization functions
and efficient (C++-based) implementations of sampling algorithms, common estimation
methods and other key features of the model, providing a useful framework to implement
algorithms and working with the model in general. This paper presents a description and
details of the package, as well as some reproducible examples of usag

Victor Freguglia

https://www.jstatsoft.org/article/view/v101i08

University of Campina

January 2022

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