Small Area Estimation Hierarchical Bayes For Spatial Model
Overview
Provides several functions and datasets for area level of Small Area Estimation under Spatial Model using Hierarchical Bayesian (HB) Method. Model-based estimators include the HB estimators based on a Spatial Fay-Herriot model with univariate normal distribution for variable of interest.The 'rjags' package is employed to obtain parameter estimates. For the reference, see Rao and Molina (2015) doi:10.1002/9781118735855.
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 5includes a package overview page
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- saeHB_spatial HTML
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Repository
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/arinams/saehb.spatial on 2026-10-21.
Dependencies
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People & History
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- unarchivedReturned to CRAN2024-11-22
- 0.1.1Latest
- RR 4.4.0 released · 2024-04-24
- archivedRemoved from CRAN2023-08-19email to the maintainer is undeliverable
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.1.02022-03-02
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2022-03-02
- Total releases
- 2 / 4 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 5.4 KB / 3 files
- Download size
- 17 KB
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