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  "Title": "Modeling Spatially Varying Coefficients",
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  "Description": "Implements a maximum likelihood estimation (MLE) method\nfor estimation and prediction of Gaussian process-based\nspatially varying coefficient (SVC) models (Dambon et al.\n(2021a) <doi:10.1016/j.spasta.2020.100470>).  Covariance\ntapering (Furrer et al. (2006) <doi:10.1198/106186006X132178>)\ncan be applied such that the method scales to large data.\nFurther, it implements a joint variable selection of the fixed\nand random effects (Dambon et al. (2021b)\n<doi:10.1080/13658816.2022.2097684>). The package and its\ncapabilities are described in (Dambon et al. (2021c)\n<doi:10.48550/arXiv.2106.02364>).",
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      "title": "varycoef: An R Package to Model Spatially Varying Coefficients",
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        "Disclaimer",
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