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 <thom7058 at umn.edu> License: GPL (≥ 3) NeedsCompilation: no Materials: README NEWS CRAN checks: agfh results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=agfh to link to this page.
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