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 results |