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  "Title": "Fast Implementation of Small Area Estimation Methods",
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  "Description": "Provides high-performance implementations of Small Area\nEstimation (SAE) methods leveraging C++ ('Rcpp',\n'RcppArmadillo') and 'OpenMP' multi-threading. Supports\nstandard area-level Fay-Herriot models (Fay and Herriot, 1979\n<doi:10.1080/01621459.1979.10482505>), Spatial Fay-Herriot\nmodels (Pratesi and Salvati, 2008 <doi:10.1002/env.861>),\nSpatio-Temporal Fay-Herriot models (Marhuenda et al., 2013\n<doi:10.1016/j.csda.2013.01.016>), and unit-level\nBattese-Harter-Fuller models (Battese et al., 1988\n<doi:10.1080/01621459.1988.10478561>). Features include\nempirical best linear unbiased prediction (EBLUP), analytical\nand bootstrap Mean Squared Error (MSE) estimation, automatic\nhandling of unsampled domains, and modern S3 diagnostic\nmethods.",
  "License": "GPL (>= 3)",
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