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geoaddSAE2

geoaddSAE2 provides functions for fitting area-level Geoadditive Small Area Estimation (SAE) models. The Geoadditive SAE model extends the classical Fay-Herriot model by incorporating nonlinear covariate effects and spatial variation.

Authors

Amalyah Rizky Khairunnisa Sutarto, Novi Hidayat Pusponegoro

Maintainer

Amalyah Rizky Khairunnisa Sutarto 222212489@stis.ac.id

Installation

You can install the released version of geoaddSAE2 from CRAN or find my github repository Github

install.packages("remotes")
remotes::install_github("amalyahrizky04/geoaddSAE2")

Example

The following example illustrates the basic use of geosae().

#Load the library
library(geoaddSAE2)

#Load the dataset
data(simulated_sae)

#Estimate geoadditive SAE only
fit <- geosae(
        data = simulated_sae, 
        formula = y ~ x1 + x2, 
        vardir = vardir, 
        nonlinear = "x3", 
        knots = c("x3" = 10),
        spatial = c("lat", "lon"), 
        bootstrap = TRUE,
        B = 10,
        seed = 1
      )

#Estimate geoadditive SAE and compare with Fay-Herriot and Spatial Fay-Herriot
fit <- geosae(
        data = simulated_sae, 
        formula = y ~ x1 + x2, 
        vardir = vardir, 
        nonlinear = "x3", 
        knots = c("x3" = 10),
        spatial = c("lat", "lon"), 
        compare = TRUE,
        bootstrap = TRUE,
        B = 10,
        seed = 1
      ) 
      
print(fit) 
summary(fit)

References

• Fay, R. E. and Herriot, R. A. (1979). Estimates of income for small places: An application of James-Stein procedures to census data. Journal of the American Statistical Association, 74(366), 269–277.
• Ruppert, D. (2002). Selecting the Number of Knots for Penalized Splines. Journal of Computational and Graphical Statistics, 11(4), 735–757.
• Kammann, E. E., & Wand, M. P. (2003). Geoadditive models. Journal of the Royal Statistical Society. Series C: Applied Statistics, 52(1), 1–18.
• Rao, J. N. K. ., & Molina, Isabel. (2015). Small area estimation. John Wiley & Sons, Inc.
• Wood, S. N. (2025). Generalized additive models. Annual Review of Statistics and Its Application, 12(1), 497-526.

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.