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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.
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