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) ), 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.


emdi 1.1.1

  • The function ebp benefits from a new parameter called seed that allows reproducibility even when the function is run in parallel mode.
  • Argument checks have been added, and improved
  • Additional example in map_plot and direct
  • Updated Vignette

emdi 1.1.0

  • A new function direct is made available, which provides direct estimation for small areas.
  • The function ebp now allows for a user-defined threshold.
  • The function ebp is now able to perform a semi-parametric wild bootstrap for MSE estimation.
  • The function ebp has new default value for parallelization that automatically adopts for the operating system.
  • The two data sets eusilcA_smp and eusilcA_pop have been updated.
  • For the function map_plot additional customization is now applicable.
  • All methods for emdi model except plot are extended for emdi direct.
  • subset and have been added as methods for class emdi.estimators

Reference manual

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1.1.2 by Soeren Pannier, 4 months ago

Browse source code at

Authors: Ann-Kristin Kreutzmann [aut], Soeren Pannier [aut, cre], Natalia Rojas-Perilla [aut], Timo Schmid [aut], Matthias Templ [aut], Nikos Tzavidis [aut]

Documentation:   PDF Manual  

GPL-2 license

Imports nlme, moments, ggplot2, MuMIn, gridExtra, openxlsx, reshape2, graphics, stats, parallelMap, HLMdiag, parallel, boot, rgeos, maptools, MASS, readODS

Suggests testthat, R.rsp, simFrame, laeken

See at CRAN