Intersectional Small Area Estimation from Survey and Census Data
Overview
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.
- Introduces design-aware survey objects and validated census-margin objects.
- Adds coherent reconstruction of latent multiway population tables from overlapping census margins, including structural-zero support.
- Adds augmented model-assisted estimates for intersectional domains.
- Adds rank diagnostics and optional linear-programming identification bounds.
- Adds multiplier and supplied-replicate-weight bootstrap inference.
- Adds benchmarking, margin diagnostics, simulation, and reproducible examples.
From NEWS.md in the release
Install
Health
- OK13 OKNow
- OK8 OK2026-08-26
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- Examples that run
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- Exported functions with examples
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- Documented parameters
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- Return-value docs
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- Help pages citing references
- 14%
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Code & Tests
People & History
- 0.1.0Latestfirst seen 2026-08-25 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First seen
- 2026-08-25
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 28 KB
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