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  "Description": "Fits area-level geoadditive small area estimation (SAE)\nmodels by extending the Fay-Herriot area-level model with\nlinear, nonlinear, and spatial effects. The Fay-Herriot model\nis described by Fay and Herriot (1979)\n<doi:10.1080/01621459.1979.10482505>. Geoadditive models\ncombine nonlinear covariate effects and spatial variation as\ndescribed by Kammann and Wand (2003)\n<doi:10.1111/1467-9876.00385>, while their application to small\narea estimation is discussed by Pusponegoro et al. (2019)\n<doi:10.21108/JDSA.2019.2.15>. Nonlinear covariate effects are\nrepresented using penalized splines, while spatial effects are\nrepresented using a smooth function of geographic coordinates.\nModels are estimated using restricted maximum likelihood\n(REML), and mean squared error (MSE) is estimated using a\nparametric bootstrap. The package also provides comparisons\nwith the Fay-Herriot and spatial Fay-Herriot (SFH) models.",
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