DESCRIPTION

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
URL: https://erickchacon.github.io/sfclust, https://github.com/ErickChacon/sfclust
BugReports: https://github.com/ErickChacon/sfclust/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports:
    cubelyr,
    igraph,
    sf,
    SparseM,
    stars,
    dplyr,
    methods,
    Matrix,
    ggplot2,
    patchwork
Suggests:
    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
Config/Needs/website: rmarkdown, here, rnaturalearth, ropensci/rnaturalearthhires