Bayesian clustering of spatial regions with similar functional shapes using spanning trees and latent Gaussian models. The method enforces spatial contiguity within clusters and supports a wide range of latent Gaussian models, including non-Gaussian likelihoods, via the R-INLA framework. The algorithm is based on Zhong, R., Chacón-Montalván, E. A., and Moraga, P. (2024) <doi:10.48550/arXiv.2407.12633>, extending the approach of Zhang, B., Sang, H., Luo, Z. T., and Huang, H. (2023) <doi:10.1214/22-AOAS1643>. The package includes tools for model fitting, convergence diagnostics, visualization, and summarization of clustering results.
Version: 1.0.1 Depends: R (≥ 4.1.0) Imports: cubelyr, igraph, sf, SparseM, stars, dplyr, methods, Matrix Suggests: ggplot2, ggraph, class, fda, purrr, INLA, knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2025-05-19 DOI: 10.32614/CRAN.package.sfclust Author: Erick A. Chacón-Montalván [aut, cre], Ruiman Zhong [aut], Paula Moraga [aut] Maintainer: Erick A. Chacón-Montalván <erick.chaconmontalvan at kaust.edu.sa> License: MIT + file LICENSE NeedsCompilation: no Additional_repositories: https://inla.r-inla-download.org/R/stable Materials: README CRAN checks: sfclust results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=sfclust to link to this page.
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