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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.
| Version: | 0.2.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | dplyr, lme4, purrr, progressr, furrr, future, rlang, Rcpp |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2024-06-06 |
| DOI: | 10.32614/CRAN.package.saeczi |
| Author: | Josh Yamamoto [aut, cre], Dinan Elsyad [aut], Grayson White [aut], Julian Schmitt [aut], Niels Korsgaard [aut], Kelly McConville [aut], Kate Hu [aut] |
| Maintainer: | Josh Yamamoto <joshuayamamoto5 at gmail.com> |
| License: | MIT + file LICENSE |
| URL: | https://harvard-ufds.github.io/saeczi/ |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | saeczi results |
| Reference manual: | saeczi.pdf |
| Package source: | saeczi_0.2.0.tar.gz |
| Windows binaries: | r-devel: saeczi_0.2.0.zip, r-release: saeczi_0.2.0.zip, r-oldrel: saeczi_0.2.0.zip |
| macOS binaries: | r-release (arm64): saeczi_0.2.0.tgz, r-oldrel (arm64): saeczi_0.2.0.tgz, r-release (x86_64): saeczi_0.2.0.tgz, r-oldrel (x86_64): saeczi_0.2.0.tgz |
| Old sources: | saeczi archive |
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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.