saeczi
0.2.0Small 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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Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-1813 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-07-1012 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
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- Documented parameters
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- Return-value docs
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- References docs
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Package metadata
- First published
- 2024-02-13
- Total releases
- 5 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 149 KB / 2 files
- Download size
- 304 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet