doi:10.1093/biomet/asr063>.">

sae.projection: Small Area Estimation Using Model-Assisted Projection Method (original) (raw)

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 PORCID iD [aut, cre, cph], Azka Ubaidillah ORCID iD [aut], Silvi Ajeng Larasati [aut], Amelia Rahayu [aut]
Maintainer: Ridson Al Farizal P
BugReports: https://github.com/Alfrzlp/sae.projection/issues
License: MIT + file
URL: https://github.com/Alfrzlp/sae.projection
NeedsCompilation: no
Materials: README
CRAN checks: sae.projection results

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