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A set of functions and datasets implementation of small area estimation when auxiliary variable is measured with error. These functions provide a empirical best linear unbiased prediction (EBLUP) estimator and mean squared error (MSE) estimator of the EBLUP. These models were developed by Ybarra and Lohr (2008) <doi:10.1093/biomet/asn048>.
| Version: | 1.3.1 |
| Depends: | R (≥ 3.1.0) |
| Imports: | MASS, stats |
| Published: | 2023-08-21 |
| Author: | Azka Ubaidillah [aut], Muhammad Rifqi Mubarak [aut, cre] |
| Maintainer: | Muhammad Rifqi Mubarak <rifqi.mubarak at bps.go.id> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | saeME results |
| Reference manual: | saeME.pdf |
| Package source: | saeME_1.3.1.tar.gz |
| Windows binaries: | r-devel: saeME_1.3.1.zip, r-release: saeME_1.3.1.zip, r-oldrel: saeME_1.3.1.zip |
| macOS binaries: | r-release (arm64): saeME_1.3.1.tgz, r-oldrel (arm64): saeME_1.3.1.tgz, r-release (x86_64): saeME_1.3.1.tgz, r-oldrel (x86_64): saeME_1.3.1.tgz |
| Old sources: | saeME archive |
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These binaries (installable software) and packages are in development.
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