Functions that support estimating, assessing and mapping regional disaggregated indicators. So far, estimation methods comprise the model-based approach Empirical Best Prediction (see "Small area estimation of poverty indicators" by Molina and Rao (2010)), as well as their precision estimates. The assessment of the used model is supported by a summary and diagnostic plots. For a suitable presentation of estimates, map plots can be easily created. Furthermore, results can easily be exported to excel.

Documentation

Manual: emdi.pdf
Vignette: None available.

Maintainer: Soeren Pannier <soeren.pannier at fu-berlin.de>

Author(s): Ann-Kristin Kreutzmann*, Soeren Pannier*, Natalia Rojas-Perilla*, Timo Schmid*, Nikos Tzavidis*, Matthias Templ*

Install package and any missing dependencies by running this line in your R console:

install.packages("emdi")

Depends R (>= 3.3.0), maptools
Imports nlme, FNN, moments, ggplot2, MuMIn, gridExtra, openxlsx, ggmap, reshape2, graphics, stats, parallelMap, HLMdiag, parallel, simFrame
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Package emdi
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Version 1.0.0
Published 2016-11-08
License GPL-2
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NeedsCompilation no
Citation
CRAN checks emdi check results
Package source emdi_1.0.0.tar.gz