agfh: Agnostic Fay-Herriot Model for Small Area Statistics (original) (raw)
Implements the Agnostic Fay-Herriot model, an extension of the traditional small area model. In place of normal sampling errors, the sampling error distribution is estimated with a Gaussian process to accommodate a broader class of distributions. This flexibility is most useful in the presence of bounded, multi-modal, or heavily skewed sampling errors.
Version: | 0.2.1 |
---|---|
Imports: | ggplot2, goftest, ks, mvtnorm, stats |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2023-06-21 |
DOI: | 10.32614/CRAN.package.agfh |
Author: | Marten Thompson [aut, cre, cph], Snigdhansu Chatterjee [ctb, cph] |
Maintainer: | Marten Thompson |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
Materials: | README, NEWS |
CRAN checks: | agfh results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=agfhto link to this page.