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SAEforest  

Mixed Effect Random Forests for Small Area Estimation
View on CRAN: Click here


Download and install SAEforest package within the R console
Install from CRAN:
install.packages("SAEforest")

Install from Github:
library("remotes")
install_github("cran/SAEforest")

Install by package version:
library("remotes")
install_version("SAEforest", "1.0.0")



Attach the package and use:
library("SAEforest")
Maintained by
Patrick Krennmair
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-07
Latest Update:
Description:
Mixed Effects Random Forests MERFs are a data-drivennonparametric alternative to current methods of Small Area EstimationSAE. SAEforest provides functions for the estimation of regionallydisaggregated linear and nonlinear indicators using survey sampledata. Included procedures facilitate the estimation of domain-leveleconomic and inequality metrics and assess associated uncertainty.Emphasis lies on straightforward interpretation and visualization of results.From a methodological perspective the package builds on approaches discussed inKrennmair and Schmid 2022 arXiv2201.10933v2 and Krennmairet al. 2022 arXiv2204.10736.
How to cite:
Patrick Krennmair (2022). SAEforest: Mixed Effect Random Forests for Small Area Estimation. R package version 1.0.0, https://cran.r-project.org/web/packages/SAEforest. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0.0 (2022-09-07 19:50)
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View SAEforest citation profile
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