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sfclust: Bayesian Spatial Functional Clustering
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.
Getting started
Browse package contents
Package details |
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| Author | Erick A. Chacón-Montalván [aut, cre] (ORCID: <https://orcid.org/0000-0001-8068-1034>), Ruiman Zhong [aut] (ORCID: <https://orcid.org/0000-0002-4681-9199>), Paula Moraga [aut] (ORCID: <https://orcid.org/0000-0001-5266-0201>) |
| Maintainer | Erick A. Chacón-Montalván <erick.chaconmontalvan@kaust.edu.sa> |
| License | MIT + file LICENSE |
| Version | 1.0.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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