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saeTrafo

Transformations for Unit-Level Small Area Models

v1.0.6 · Sep 9, 2025 · GPL-2

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) <doi:10.1080/01621459.1988.10478561>) and its well-known uncertainty estimate (see "The estimation of the mean squared error of small-area estimators" by Prasad and Rao (1990) <doi:10.1080/01621459.1995.10476570>) 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 Martín (2018) <doi:10.1214/17-aos1608>) but also aggregated population data (see "Estimating regional income indicators under transformations and access to limited population auxiliary information" by Würz, Schmid and Tzavidis <unpublished>) can be entered. Especially under limited data access, new methodologies are provided in saeTrafo. Several options are available to assess the used model and to judge, present and export its results. For a detailed description of the package and the methods used see the corresponding vignette.

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r-devel-linux-x86_64-debian-clang WARNING
r-devel-linux-x86_64-debian-gcc WARNING
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 WARNING
r-release-linux-x86_64 WARNING
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
Check details (4 non-OK)
WARNING r-devel-linux-x86_64-debian-clang

sizes of PDF files under ‘inst/doc’

‘gs+qpdf’ made some significant size reductions:
     compacted ‘vignettesaeTrafo.pdf’ from 433Kb to 177Kb
  consider running tools::compactPDF(gs_quality = "ebook") on these files,
  or build the source package with --compact-vignettes=both
WARNING r-devel-linux-x86_64-debian-gcc

sizes of PDF files under ‘inst/doc’

‘gs+qpdf’ made some significant size reductions:
     compacted ‘vignettesaeTrafo.pdf’ from 433Kb to 177Kb
  consider running tools::compactPDF(gs_quality = "ebook") on these files,
  or build the source package with --compact-vignettes=both
WARNING r-patched-linux-x86_64

sizes of PDF files under ‘inst/doc’

‘gs+qpdf’ made some significant size reductions:
     compacted ‘vignettesaeTrafo.pdf’ from 433Kb to 177Kb
  consider running tools::compactPDF(gs_quality = "ebook") on these files,
  or build the source package with --compact-vignettes=both
WARNING r-release-linux-x86_64

sizes of PDF files under ‘inst/doc’

‘gs+qpdf’ made some significant size reductions:
     compacted ‘vignettesaeTrafo.pdf’ from 433Kb to 177Kb
  consider running tools::compactPDF(gs_quality = "ebook") on these files,
  or build the source package with --compact-vignettes=both

Check History

WARNING 13 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE Mar 28, 2026
WARNING r-devel-linux-x86_64-debian-gcc

sizes of PDF files under ‘inst/doc’

‘gs+qpdf’ made some significant size reductions:
     compacted ‘vignettesaeTrafo.pdf’ from 433Kb to 177Kb
  consider running tools::compactPDF(gs_quality = "ebook") on these files,
  or build the source package with --compact-vignettes=both
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies nlme emdi sfsmisc parallelMap ggplot2 moments openxlsx reshape2 HLMdiag gridExtra stringr readODS rlang saeTrafo

Version History

new 1.0.6 Mar 10, 2026
updated 1.0.6 ← 1.0.4 diff Sep 9, 2025
updated 1.0.4 ← 1.0.3 diff Jun 9, 2024
updated 1.0.3 ← 1.0.2 diff May 22, 2024
updated 1.0.2 ← 1.0.1 diff Dec 10, 2023
updated 1.0.1 ← 1.0.0 diff Sep 24, 2023
new 1.0.0 Jun 22, 2022