sae.projection: Small Area Estimation Using Model-Assisted Projection Method

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:	0.1.0
Depends:	R (≥ 4.3.0), tidymodels
Imports:	cli, doParallel, dplyr, methods, parsnip, recipes, rlang, rsample, stats, survey, tune, workflows, yardstick, bonsai, ranger, lightgbm
Published:	2024-12-19
DOI:	10.32614/CRAN.package.sae.projection
Author:	Ridson Al Farizal P [aut, cre, cph], Azka Ubaidillah [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

Documentation:

Reference manual:

sae.projection.pdf

Downloads:

Package source:	sae.projection_0.1.0.tar.gz
Windows binaries:	r-devel: sae.projection_0.1.0.zip, r-release: sae.projection_0.1.0.zip, r-oldrel: sae.projection_0.1.0.zip
macOS binaries:	r-release (arm64): sae.projection_0.1.0.tgz, r-oldrel (arm64): sae.projection_0.1.0.tgz, r-release (x86_64): sae.projection_0.1.0.tgz, r-oldrel (x86_64): sae.projection_0.1.0.tgz

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