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To cite the nlfh package in publications, please cite both the package and the relevant methods paper(s):

Parker P (2026). nlfh: Nonlinear Fay-Herriot Models for Small Area Estimation. R package version 0.1.0.

Parker P (2024). “Nonlinear Fay-Herriot Models for Small Area Estimation Using Random Weight Neural Networks.” Journal of Official Statistics, 40(2), 317–332. doi:10.1177/0282423X241244671.

Parker P, Eideh A (2026). “BART-FH: Flexible Nonlinear Modeling for Small Area Estimation.” Journal of Survey Statistics and Methodology, 00, 1–18. doi:10.1093/jssam/smaf050.

Corresponding BibTeX entries:

  @Manual{,
    title = {nlfh: Nonlinear Fay-Herriot Models for Small Area
      Estimation},
    author = {Paul A. Parker},
    year = {2026},
    note = {R package version 0.1.0},
  }
  @Article{,
    title = {Nonlinear Fay-Herriot Models for Small Area Estimation
      Using Random Weight Neural Networks},
    author = {Paul A. Parker},
    journal = {Journal of Official Statistics},
    year = {2024},
    volume = {40},
    number = {2},
    pages = {317--332},
    doi = {10.1177/0282423X241244671},
  }
  @Article{,
    title = {BART-FH: Flexible Nonlinear Modeling for Small Area
      Estimation},
    author = {Paul A. Parker and Abdulhakeem Eideh},
    journal = {Journal of Survey Statistics and Methodology},
    year = {2026},
    volume = {00},
    pages = {1--18},
    doi = {10.1093/jssam/smaf050},
  }

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.