Small Area Estimation for Continuous Zero Inflated Data
Overview
Provides functionality to fit a zero-inflated estimator for small area estimation. This estimator is a combines a linear mixed effects regression model and a logistic mixed effects regression model via a two-stage modeling approach. The estimator's mean squared error is estimated via a parametric bootstrap method. Chandra and others (2012, doi:10.1080/03610918.2011.598991) introduce and describe this estimator and mean squared error estimator. White and others (2024+, doi:10.48550/arXiv.2402.03263) describe the applicability of this estimator to estimation of forest attributes and further assess the estimator's properties.
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- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-18
- ERROR12 OK, 1 ERROR2026-07-10
- OK14 OK2026-04-22
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- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 3
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- 100%1 run in a plain check
- Exported functions with examples
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- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
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- 79%
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- 30
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- 0
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Package metadata
- First published
- 2024-02-13
- Total releases
- 5 / 2 yrs
- License
- MIT + file LICENSE OSI · relicensed from CC0 in 0.1.1
- Minimum R
- ≥ 4.1.0
- Bundled data
- 149 KB / 2 files
- Download size
- 304 KB
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