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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) <doi:10.2307/3315407>. The REML (Residual Maximum Likelihood) method is used for fitting the model.
| Version: | 2.0 |
| Imports: | grDevices, graphics, stats, utils |
| Published: | 2025-02-07 |
| DOI: | 10.32614/CRAN.package.saery |
| Author: | Cabello E. [aut], Esteban M.D. [aut], Morales Domingo [aut], Perez Agustin [aut, cre] |
| Maintainer: | Perez Agustin <agustin.perez at umh.es> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | saery results |
| Reference manual: | saery.pdf |
| Package source: | saery_2.0.tar.gz |
| Windows binaries: | r-devel: saery_2.0.zip, r-release: saery_2.0.zip, r-oldrel: saery_2.0.zip |
| macOS binaries: | r-devel (arm64): saery_2.0.tgz, r-release (arm64): saery_2.0.tgz, r-oldrel (arm64): saery_2.0.tgz, r-devel (x86_64): saery_2.0.tgz, r-release (x86_64): saery_2.0.tgz, r-oldrel (x86_64): saery_2.0.tgz |
| Old sources: | saery archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.