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saeTrafo  

Transformations for Unit-Level Small Area Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("saeTrafo", "1.0.6")



Attach the package and use:
library("saeTrafo")
Maintained by
Nora Würz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-23
Latest Update: 2025-09-03
Description:
The aim of this package is to offer new methodology for unit-level small area models under transformations and limited population auxiliary information. In addition to this new methodology, the widely used nested error regression model without transformations (see "An Error-Components Model for Prediction of County Crop Areas Using Survey and Satellite Data" by Battese, Harter and Fuller (1988) ) and its well-known uncertainty estimate (see "The estimation of the mean squared error of small-area estimators" by Prasad and Rao (1990) ) are provided. In this package, the log transformation and the data-driven log-shift transformation are provided. If a transformation is selected, an appropriate method is chosen depending on the respective input of the population data: Individual population data (see "Empirical best prediction under a nested error model with log transformation" by Molina and Mart
How to cite:
Nora Würz (2022). saeTrafo: Transformations for Unit-Level Small Area Models. R package version 1.0.6, https://cran.r-project.org/web/packages/saeTrafo. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0.0 (2022-06-23 09:10), 1.0.1 (2023-09-25 11:50), 1.0.2 (2023-12-11 14:00), 1.0.3 (2024-05-23 09:10), 1.0.4 (2024-06-10 08:00)
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