emdi: Estimating and Mapping Disaggregated Indicators

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) <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: 1.1.5
Depends: R (≥ 3.3.0)
Imports: nlme, moments, ggplot2, MuMIn, gridExtra, openxlsx, reshape2, graphics, stats, parallelMap, HLMdiag, parallel, boot, rgeos, maptools, MASS, readODS
Suggests: testthat, R.rsp, simFrame, laeken
Published: 2019-04-08
Author: Ann-Kristin Kreutzmann [aut], Soeren Pannier [aut, cre], Natalia Rojas-Perilla [aut], Timo Schmid [aut], Matthias Templ [aut], Nikos Tzavidis [aut]
Maintainer: Soeren Pannier <soeren.pannier at fu-berlin.de>
License: GPL-2
Copyright: inst/COPYRIGHTS
emdi copyright details
URL: https://github.com/SoerenPannier/emdi
NeedsCompilation: no
Citation: emdi citation info
Materials: NEWS
In views: OfficialStatistics
CRAN checks: emdi results


Reference manual: emdi.pdf
Vignettes: Estimating and Mapping Regional Disaggregated Indicators
Package source: emdi_1.1.5.tar.gz
Windows binaries: r-devel: emdi_1.1.5.zip, r-release: emdi_1.1.5.zip, r-oldrel: emdi_1.1.5.zip
OS X binaries: r-release: emdi_1.1.5.tgz, r-oldrel: emdi_1.1.5.tgz
Old sources: emdi archive


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