Package: nlfh 0.1.0

Paul Parker

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.

Authors:Paul Parker [aut, cre]

nlfh_0.1.0.tar.gz
nlfh_0.1.0.zip(r-4.7)nlfh_0.1.0.zip(r-4.6)nlfh_0.1.0.zip(r-4.5)
nlfh_0.1.0.tgz(r-4.6-any)nlfh_0.1.0.tgz(r-4.5-any)
nlfh_0.1.0.tar.gz(r-4.7-any)nlfh_0.1.0.tar.gz(r-4.6-any)
nlfh_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
nlfh/json (API)
NEWS

# Install 'nlfh' in R:
install.packages('nlfh', repos = c('https://paparker.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/paparker/nlfh/issues

Datasets:
  • acs_dat - Example ACS Small Area Data

On CRAN:

Conda:

3.70 score 1 stars 5 exports 1 dependencies

Last updated from:878f55a117. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK140
source / vignettesOK198
linux-release-x86_64OK122
macos-release-arm64OK128
macos-oldrel-arm64OK160
windows-develOK83
windows-releaseOK80
windows-oldrelOK88
wasm-releaseOK99

Exports:fit_fhfit_fh_bartfit_fh_linearfit_fh_rnnposterior_draws

Dependencies:dbarts

Model comparison and posterior summaries

Rendered frommodel-comparison.Rmdusingknitr::rmarkdownon Jun 13 2026.

Last update: 2026-06-05
Started: 2026-06-05