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  "Title": "Bayesian Spatial Functional Clustering",
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  "Authors@R": "c(\nperson(c(\"Erick\", \"A.\"), \"Chacón-Montalván\", ,\"erick.chaconmontalvan@kaust.edu.sa\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-8068-1034\")),\nperson(\"Ruiman\", \"Zhong\", ,\"ruiman.zhong@kaust.edu.sa\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-4681-9199\")),\nperson(\"Paula\", \"Moraga\", ,\"paula.moraga@kaust.edu.sa\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0001-5266-0201\"))\n)",
  "Description": "Bayesian clustering of spatial regions with similar\nfunctional shapes using spanning trees and latent Gaussian\nmodels. The method enforces spatial contiguity within clusters\nand supports a wide range of latent Gaussian models, including\nnon-Gaussian likelihoods, via the R-INLA framework. The\nalgorithm is based on Zhong, R., Chacón-Montalván, E. A., and\nMoraga, P. (2024) <doi:10.48550/arXiv.2407.12633>, extending\nthe approach of Zhang, B., Sang, H., Luo, Z. T., and Huang, H.\n(2023) <doi:10.1214/22-AOAS1643>. The package includes tools\nfor model fitting, convergence diagnostics, visualization, and\nsummarization of clustering results.",
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  "Author": "Erick A. Chacón-Montalván [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-8068-1034>), Ruiman Zhong [aut]\n(ORCID: <https://orcid.org/0000-0002-4681-9199>), Paula Moraga\n[aut] (ORCID: <https://orcid.org/0000-0001-5266-0201>)",
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