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.

Getting started

Package details

AuthorAnn-Kristin Kreutzmann [aut], Soeren Pannier [aut, cre], Natalia Rojas-Perilla [aut], Timo Schmid [aut], Matthias Templ [aut], Nikos Tzavidis [aut]
MaintainerSoeren Pannier <[email protected]>
LicenseGPL-2
Version1.1.4
URL https://github.com/SoerenPannier/emdi
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("emdi")

Try the emdi package in your browser

Any scripts or data that you put into this service are public.

emdi documentation built on Oct. 11, 2018, 1:04 a.m.