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nlfh: Nonlinear Fay-Herriot Models for Small Area Estimation

Fits nonlinear Bayesian extensions of the Fay-Herriot model for small area estimation using area-level direct estimates and corresponding sampling variances. The package provides model fitting, prediction, uncertainty summaries, and diagnostic tools for nonlinear small area estimation workflows.

Version: 0.1.0
Depends: R (≥ 3.5)
Imports: dbarts
Suggests: knitr, posterior, rmarkdown, spelling, testthat (≥ 3.0.0)
Published: 2026-06-12
DOI: 10.32614/CRAN.package.nlfh
Author: Paul Parker [aut, cre]
Maintainer: Paul Parker <paulparker at ucsc.edu>
BugReports: https://github.com/paparker/nlfh/issues
License: MIT + file LICENSE
URL: https://github.com/paparker/nlfh
NeedsCompilation: no
Citation: nlfh citation info
Materials: README, NEWS
CRAN checks: nlfh results

Documentation:

Reference manual: nlfh.html , nlfh.pdf
Vignettes: Model comparison and posterior summaries (source, R code)

Downloads:

Package source: nlfh_0.1.0.tar.gz
Windows binaries: r-devel: nlfh_0.1.0.zip, r-release: nlfh_0.1.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): nlfh_0.1.0.tgz, r-oldrel (arm64): nlfh_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): nlfh_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=nlfh to link to this page.

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.
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