Package: sfclust
Title: Bayesian Spatial Functional Clustering
Version: 1.0.1
Authors@R: c(
    person(c("Erick", "A."), "Chacón-Montalván", ,"erick.chaconmontalvan@kaust.edu.sa", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0001-8068-1034")),
    person("Ruiman", "Zhong", ,"ruiman.zhong@kaust.edu.sa", role = c("aut"),
           comment = c(ORCID = "0000-0002-4681-9199")),
    person("Paula", "Moraga", ,"paula.moraga@kaust.edu.sa", role = c("aut"),
           comment = c(ORCID = "0000-0001-5266-0201"))
           )
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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: cubelyr, igraph, sf, SparseM, stars, dplyr, methods, Matrix
Suggests: ggplot2, ggraph, class, fda, purrr, INLA, knitr, rmarkdown,
        testthat (>= 3.0.0)
Additional_repositories: https://inla.r-inla-download.org/R/stable
Depends: R (>= 4.1.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-13 07:57:06 UTC; root
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>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-05-19 13:20:02 UTC
RemoteUrl: https://github.com/cran/sfclust
RemoteRef: HEAD
RemoteSha: 9fc64a952e093c9874c424b360953527302faaf2