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Provides tools for small area estimation using a projection estimator with a linear multilevel working model. The main function fits a multilevel model to a smaller survey containing the response variable and auxiliary predictors. The fitted model is used to predict outcomes in a larger projection survey, and domain-level estimates are computed by combining synthetic predictions with a design-based residual correction. For methodological references, see Kim and Rao (2012) <doi:10.1093/biomet/asr063>, Food and Agriculture Organization of the United Nations (2021) <doi:10.4060/cb3253en>, and Moura and Holt (1999) <https://www150.statcan.gc.ca/n1/pub/12-001-x/1999001/article/4714-eng.pdf>.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5) |
| Imports: | cli, dplyr, lme4, reformulas, survey, stats, utils |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-09-07 |
| DOI: | 10.32614/CRAN.package.saeproj.multilevel |
| Author: | Nazlya Rahma Susanto [aut, cre], Azka Ubaidillah [aut] |
| Maintainer: | Nazlya Rahma Susanto <susantonazlya at gmail.com> |
| BugReports: | https://github.com/rahmanazlya02/saeproj.multilevel/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/rahmanazlya02/saeproj.multilevel |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | saeproj.multilevel results |
| Reference manual: | saeproj.multilevel.html , saeproj.multilevel.pdf |
| Vignettes: |
Small Area Estimation Using a Projection Estimator with a Multilevel Regression Model (source, R code) |
| Package source: | saeproj.multilevel_0.1.1.tar.gz |
| Windows binaries: | r-devel: saeproj.multilevel_0.1.1.zip, r-release: saeproj.multilevel_0.1.1.zip, r-oldrel: saeproj.multilevel_0.1.1.zip |
| macOS binaries: | r-release (arm64): saeproj.multilevel_0.1.0.tgz, r-oldrel (arm64): saeproj.multilevel_0.1.1.tgz, r-release (x86_64): saeproj.multilevel_0.1.1.tgz, r-oldrel (x86_64): saeproj.multilevel_0.1.1.tgz |
| Old sources: | saeproj.multilevel 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.