nference Tools for Markov Random Fields on Lattices: The R Package mrf2

Author(s)

Freguglia, Victor ^[1] ; Garcia, Nancy Lopes ^[1]

Affiliation

^[1] Univ Estadual Campinas, Inst Math Stat & Sci Computat, Campinas - Brazil

• Document type: Journal article
• Source: JOURNAL OF STATISTICAL SOFTWARE; v. 101, n. 8, p. 1-36, JAN 2022.
• Web of Science Citations: 0

Abstract

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 usage. (AU)

• FAPESP's process: 17/25469-2 - Bayesian inference for signal segmentation in dyed textile images
• Grantee: Victor Freguglia Souza
• Support Opportunities: Scholarships in Brazil - Doctorate