saeTrafo: Transformations for Unit-Level Small Area Models
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unpublished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.
| Version: |
1.0.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
nlme, emdi, stats, sfsmisc, parallelMap, MuMIn, ggplot2, moments, openxlsx, reshape2, HLMdiag, gridExtra, stringr, readODS |
| Suggests: |
simFrame, sp, maptools, rgeos, graphics, R.rsp |
| Published: |
2022-06-23 |
| Author: |
Nora Würz [aut] |
| Maintainer: |
Nora Würz <nora.wuerz at fu-berlin.de> |
| License: |
GPL-2 |
| Copyright: |
inst/COPYRIGHTS |
| URL: |
https://github.com/NoraWuerz/saeTrafo |
| NeedsCompilation: |
no |
| CRAN checks: |
saeTrafo results |
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