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.
| 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 |
| 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:
| Reference manual: | sfclust.pdf |
| Vignettes: |
Additional features (source, R code) Getting started (source, R code) Create stars dataset (source, R code) |
Downloads:
| Package source: | sfclust_1.0.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=sfclust to link to this page.