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

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