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interSAE: Intersectional Small Area Estimation from Survey and Census Data

Implements design-aware, margin-constrained estimation of population indicators for geographic areas crossed with demographic subgroups. Complex-survey microdata supply outcomes and association information, while one or more aggregate census tables supply overlapping population margins. A generalized iterative proportional fitting engine reconstructs a coherent latent population table, and an augmented model-assisted estimator produces domain means, proportions, and totals for sampled and unsampled intersections. Tools diagnose non-identification, compute linear-programming sensitivity bounds, propagate sampling and model uncertainty with replicate-weight or multiplier bootstrap procedures, enforce structural zeros, and benchmark estimates to official totals. The framework extends calibration ideas from Deville and Sarndal (1992) <doi:10.1080/01621459.1992.10475217> and small area estimation ideas from Fay and Herriot (1979) <doi:10.1080/01621459.1979.10482505>.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: graphics, stats, utils
Suggests: knitr, lpSolve, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-08-25
DOI: 10.32614/CRAN.package.interSAE (may not be active yet)
Author: Leila Marvian Mashhad [aut, cre]
Maintainer: Leila Marvian Mashhad <leila.marveian at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: interSAE citation info
Materials: README, NEWS
CRAN checks: interSAE results

Documentation:

Reference manual: interSAE.html , interSAE.pdf
Vignettes: Joint Margin-Constrained Intersectional Estimation (source, R code)

Downloads:

Package source: interSAE_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: interSAE_0.1.0.zip
macOS binaries: r-release (arm64): interSAE_0.1.0.tgz, r-oldrel (arm64): interSAE_0.1.0.tgz, r-release (x86_64): interSAE_0.1.0.tgz, r-oldrel (x86_64): interSAE_0.1.0.tgz

Linking:

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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.