Package: agfh
Type: Package
Version: 0.2.1
Date: 2023-06-21
Title: Agnostic Fay-Herriot Model for Small Area Statistics
Authors@R: c(
    person(given="Marten", family="Thompson", email = "thom7058@umn.edu", role = c("aut", "cre", "cph")),
    person(given="Snigdhansu", family="Chatterjee", email = "chatt019@umn.edu", role = c("ctb", "cph")))
Description: 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.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ggplot2, goftest, ks, mvtnorm, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-22 07:21:27 UTC; root
Author: Marten Thompson [aut, cre, cph], Snigdhansu Chatterjee [ctb,
        cph]
Maintainer: Marten Thompson <thom7058@umn.edu>
Repository: https://martenthompson.r-universe.dev
Date/Publication: 2023-06-21 19:00:05 UTC
RemoteUrl: https://github.com/cran/agfh
RemoteRef: HEAD
RemoteSha: 61b98cccbc808a45e565c8888618cc8d84859a67