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 |
| 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 + fileLICENSE |
| NeedsCompilation: | no |
| Additional_repositories: | https://inla.r-inla-download.org/R/stable |
| Materials: | README |
| CRAN checks: | sfclust results |
Documentation:
| Reference manual: | sfclust.html ,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:sfclust_1.0.1.zip, r-release:sfclust_1.0.1.zip, r-oldrel:sfclust_1.0.1.zip |
| macOS binaries: | r-release (arm64):sfclust_1.0.1.tgz, r-oldrel (arm64):sfclust_1.0.1.tgz, r-release (x86_64):sfclust_1.0.1.tgz, r-oldrel (x86_64):sfclust_1.0.1.tgz |
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