Functions that support estimating, assessing and mapping regional disaggregated indicators. So far, estimation methods comprise direct estimation and 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.

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

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

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

install.packages("emdi")

Depends R (>= 3.3.0)
Imports nlme, FNN, moments, ggplot2, MuMIn, gridExtra, openxlsx, ggmap, reshape2, graphics, stats, parallelMap, HLMdiag, parallel, simFrame, boot, Hmisc, rgeos, maptools, MASS
Suggests testthat, R.rsp, laeken
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Package emdi
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Version 1.1.0
Published 2017-05-18
License GPL-2
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NeedsCompilation no
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Package source emdi_1.1.0.tar.gz