Functions that support estimating, assessing and mapping regional disaggregated indicators. So far, estimation methods comprise direct estimation, the modelbased unitlevel approach Empirical Best Prediction (see "Small area estimation of poverty indicators" by Molina and Rao (2010) <doi:10.1002/cjs.10051>), the arealevel model (see "Estimates of income for small places: An application of JamesStein procedures to Census Data" by (Fay and Herriot 1979) <doi:10.1080/01621459.1979.10482505>) and various extensions of it (adjusted variance estimation methods, log and arcsin transformation, spatial, robust and measurement error models), 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. For a detailed description of the package and the methods used see "The {R} Package {emdi} for Estimating and Mapping Regionally Disaggregated Indicators" by Kreutzmann et al. (2019) <doi:10.18637/jss.v091.i07>.
Package details 


Author  Sylvia Harmening [aut], AnnKristin Kreutzmann [aut], Soeren Pannier [aut, cre], Natalia RojasPerilla [aut], Nicola Salvati [aut], Timo Schmid [aut], Matthias Templ [aut], Nikos Tzavidis [aut], Nora Würz [aut] 
Maintainer  Soeren Pannier <soeren.pannier@fuberlin.de> 
License  GPL2 
Version  2.0.1 
URL  https://github.com/SoerenPannier/emdi 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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