The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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 ORCID iD [aut, cre, cph], Azka Ubaidillah ORCID iD [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: not available, 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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sae.projection to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.