emdi: Estimating and Mapping Disaggregated Indicators

Functions that support estimating, assessing and mapping regional disaggregated indicators. So far, estimation methods comprise direct estimation, the model-based unit-level approach Empirical Best Prediction (see "Small area estimation of poverty indicators" by Molina and Rao (2010) <doi:10.1002/cjs.10051>), the area-level model (see "Estimates of income for small places: An application of James-Stein 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> and the second package vignette "A Framework for Producing Small Area Estimates Based on Area-Level Models in {R}".

Version: 2.1.0
Depends: R (≥ 3.5.0)
Imports: nlme, moments, ggplot2, MuMIn, gridExtra, openxlsx, reshape2, stats, stringr, parallelMap, HLMdiag, parallel, boot, MASS, readODS, formula.tools, saeRobust, spdep
Suggests: testthat, R.rsp, simFrame, laeken, rgeos, maptools, graphics
Published: 2021-07-07
Author: Sylvia Harmening [aut], Ann-Kristin Kreutzmann [aut], Soeren Pannier [aut, cre], Felix Skarke [aut], Natalia Rojas-Perilla [aut], Nicola Salvati [aut], Timo Schmid [aut], Matthias Templ [aut], Nikos Tzavidis [aut], Nora Würz [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: README NEWS
CRAN checks: emdi results

Downloads:

Reference manual: emdi.pdf
Vignettes: Additional Data-Driven Transformations and Empirical Best Prediction under Informative Sampling
Estimating and Mapping Regional Disaggregated Indicators
Producing Small Area Estimates Based on Area-Level Models
Package source: emdi_2.1.0.tar.gz
Windows binaries: r-devel: emdi_2.1.0.zip, r-release: emdi_2.1.0.zip, r-oldrel: emdi_2.1.0.zip
macOS binaries: r-release (arm64): emdi_2.1.0.tgz, r-release (x86_64): emdi_2.1.0.tgz, r-oldrel: emdi_2.1.0.tgz
Old sources: emdi archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=emdi to link to this page.