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sfclust  

Bayesian Spatial Functional Clustering
View on CRAN: Click here


Download and install sfclust package within the R console
Install from CRAN:
install.packages("sfclust")

Install from Github:
library("remotes")
install_github("cran/sfclust")

Install by package version:
library("remotes")
install_version("sfclust", "1.1.1")



Attach the package and use:
library("sfclust")
Maintained by
Erick A. Chacón-Montalván
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-19
Latest Update: 2025-05-19
Description:
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.
How to cite:
Erick A. Chacón-Montalván (2025). sfclust: Bayesian Spatial Functional Clustering. R package version 1.1.1, https://cran.r-project.org/web/packages/sfclust. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-09-24 12:30), 1.0.1 (2025-05-19 15:20), 1.1.0 (2026-07-29 00:40)
Other packages that cited sfclust R package
View sfclust citation profile
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Complete documentation for sfclust
Functions, R codes and Examples using the sfclust R package
Full sfclust package functions and examples
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