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 |
| 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: not available |
| OS X Mavericks binaries: | r-release: emdi_1.0.0.tgz, r-oldrel: not available |
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