geoaddSAE2: Geoadditive Small Area Estimation for Area-Level Model

Fits area-level geoadditive small area estimation (SAE) models by extending the Fay-Herriot area-level model with linear, nonlinear, and spatial effects. The Fay-Herriot model is described by Fay and Herriot (1979) <doi:10.1080/01621459.1979.10482505>. Geoadditive models combine nonlinear covariate effects and spatial variation as described by Kammann and Wand (2003) <doi:10.1111/1467-9876.00385>, while their application to small area estimation is discussed by Pusponegoro et al. (2019) <doi:10.21108/JDSA.2019.2.15>. Nonlinear covariate effects are represented using penalized splines, while spatial effects are represented using a smooth function of geographic coordinates. Models are estimated using restricted maximum likelihood (REML), and mean squared error (MSE) is estimated using a parametric bootstrap. The package also provides comparisons with the Fay-Herriot and spatial Fay-Herriot (SFH) models.

Version:	0.1.0
Depends:	R (≥ 3.5.0)
Imports:	mgcv, sae, stats
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-09-30
DOI:	10.32614/CRAN.package.geoaddSAE2
Author:	Amalyah Rizky Khairunnisa Sutarto [aut, cre], Novi Hidayat Pusponegoro [aut, ths]
Maintainer:	Amalyah Rizky Khairunnisa Sutarto <222212489 at stis.ac.id>
License:	GPL (≥ 3)
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	geoaddSAE2 results

Documentation:

Reference manual:	geoaddSAE2.html , geoaddSAE2.pdf
Vignettes:	geoaddSAE2-intro (source, R code)

Downloads:

Package source:	geoaddSAE2_0.1.0.tar.gz
Windows binaries:	r-devel: geoaddSAE2_0.1.0.zip, r-release: not available, r-oldrel: geoaddSAE2_0.1.0.zip
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): geoaddSAE2_0.1.0.tgz, r-oldrel (x86_64): geoaddSAE2_0.1.0.tgz

Linking:

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