Combines information from two independent surveys using a model-assisted projection method. Designed for survey sampling scenarios where a large sample collects only auxiliary information (Survey 1) and a smaller sample provides data on both variables of interest and auxiliary variables (Survey 2). Implements a working model to generate synthetic values of the variable of interest by fitting the model to Survey 2 data and predicting values for Survey 1 based on its auxiliary variables (Kim & Rao, 2012) <doi:10.1093/biomet/asr063>.
Version: 0.1.4 Depends: R (≥ 4.3.0), tidymodels Imports: FSelector, glmnet, xgboost, survey, cli, doParallel, dplyr, methods, parsnip, recipes, rlang, rsample, stats, tune, workflows, yardstick, bonsai, ranger, randomForest, themis, lightgbm, caret Suggests: knitr, rmarkdown, quarto, testthat (≥ 3.0.0) Published: 2025-07-06 DOI: 10.32614/CRAN.package.sae.projection Author: Ridson Al Farizal P [aut, cre, cph], Azka Ubaidillah [aut], Silvi Ajeng Larasati [aut], Amelia Rahayu [aut] Maintainer: Ridson Al Farizal P <ridsonalfarizal15 at gmail.com> BugReports: https://github.com/Alfrzlp/sae.projection/issues License: MIT + file LICENSE URL: https://github.com/Alfrzlp/sae.projection NeedsCompilation: no Materials: README CRAN checks: sae.projection resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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