Bayesian Spatial Functional Clustering
Prepare data in long format
Prepare data for a cluster
Fitted Values for sfclust Objects
Generate clusters for spatial clustering
Fit models and compute the log marginal likelihood for all clusters
Plot function for sfclust objects
Print method for sfclust objects
sfclust: Bayesian Spatial Functional Clustering
Bayesian spatial functional clustering
Summary method for sfclust objects
Update MCMC Clustering Procedure
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.