Small Area Estimation Using a Projection Estimator with a Multilevel Regression Model R package saeproj.multilevel version 0.1.1 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>. Software Depends: R (>= 3.5) Imports: cli, dplyr, lme4, reformulas, survey, stats, utils Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Nazlya Rahma Susanto <susantonazlya@gmail.com> Comprehensive R Archive Network (CRAN) Nazlya Rahma Susanto [aut, cre], Azka Ubaidillah [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=saeproj.multilevel/LICENSE) 2026-09-07 application/tgz https://CRAN.R-project.org/package=saeproj.multilevel doi:10.32614/CRAN.package.saeproj.multilevel