Package: saery Type: Package Title: Small Area Estimation for Rao and Yu Model Version: 2.0 Authors@R: c(person("Cabello", "E.", role = "aut"), person("Esteban", "M.D.", role = "aut"), person("Morales","Domingo", role = "aut"), person("Perez","Agustin", role = c("aut", "cre"), email = "agustin.perez@umh.es")) Maintainer: Perez Agustin Description: Functions to calculate EBLUPs (Empirical Best Linear Unbiased Predictor) estimators and their MSEs (Mean Squared Errors). Estimators are based on an area-level linear mixed model introduced by Rao and Yu (1994) . The REML (Residual Maximum Likelihood) method is used for fitting the model. Imports: grDevices, graphics, stats, utils License: GPL-2 Encoding: UTF-8 LazyData: true RoxygenNote: 7.3.2 NeedsCompilation: no Author: Cabello E. [aut], Esteban M.D. [aut], Morales Domingo [aut], Perez Agustin [aut, cre] Packaged: 2026-06-22 10:36:32 UTC; root Repository: https://small-area-estimation.r-universe.dev Date/Publication: 2025-02-07 10:37:17 UTC RemoteUrl: https://github.com/cran/saery RemoteRef: HEAD RemoteSha: edc63e704b6d108807ebe40778de40d835b825d0