emdi: Estimating and Mapping Disaggregated Indicators

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)<doi:10.1002/cjs.10051>), 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.

Version: 1.0.0
Depends: R (≥ 3.3.0), maptools
Imports: nlme, FNN, moments, ggplot2, MuMIn, gridExtra, openxlsx, ggmap, reshape2, graphics, stats, parallelMap, HLMdiag, parallel, simFrame
Suggests: testthat
Published: 2016-11-08
Author: Ann-Kristin Kreutzmann [aut], Soeren Pannier [cre], Natalia Rojas-Perilla [aut], Timo Schmid [aut], Nikos Tzavidis [aut], Matthias Templ [aut]
Maintainer: Soeren Pannier <soeren.pannier at fu-berlin.de>
License: GPL-2
NeedsCompilation: no
CRAN checks: emdi results

Downloads:

Reference manual: emdi.pdf
Package source: emdi_1.0.0.tar.gz
Windows binaries: r-devel: emdi_1.0.0.zip, r-release: emdi_1.0.0.zip, r-oldrel: emdi_1.0.0.zip
OS X El Capitan binaries: r-release: emdi_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: emdi_1.0.0.tgz

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