Package: emdi
Title: Estimating and Mapping Disaggregated Indicators
Version: 2.2.3
Date: 2025-08-23
Authors@R: c(person("Sylvia", "Harmening", role="aut", email = "sylvia.harmening@fu-berlin.de"), 
    person("Ann-Kristin", "Kreutzmann", role="aut", email="ann-kristin.kreutzmann@fu-berlin.de"),
    person("Soeren", "Pannier", role=c("aut", "cre"), email="soeren.pannier@fu-berlin.de"),
    person("Felix", "Skarke", role=("aut"), email="f.skarke@fu-berlin.de"),
    person("Natalia", "Rojas-Perilla", role="aut", email = "natalia.rojas@fu-berlin.de"),
    person("Nicola", "Salvati", role="aut", email = "nicola.salvati@unipi.it"),
    person("Timo", "Schmid", role="aut", email = "timo.schmid@fu-berlin.de"),
    person("Matthias", "Templ", role="aut", email = "templ@statistik.tuwien.ac.at"),
    person("Nikos", "Tzavidis", role="aut", email = "N.TZAVIDIS@soton.ac.uk"),
    person("Nora", "Würz", role="aut", email = "nora.wuerz@fu-berlin.de"))
Description: 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".
Depends: R (>= 4.2.0)
License: GPL-2
URL: https://github.com/SoerenPannier/emdi
LazyData: true
Encoding: UTF-8
Copyright: inst/COPYRIGHTS
RoxygenNote: 7.3.2
Imports: nlme, moments, ggplot2, gridExtra, openxlsx, reshape2, stats,
        stringr, parallelMap, HLMdiag, parallel, boot, MASS, readODS,
        formula.tools, saeRobust, rlang, spdep
Suggests: testthat, R.rsp, simFrame, laeken, sf, graphics
VignetteBuilder: R.rsp
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        make libicu-dev libuv1-dev libxml2-dev libssl-dev libproj-dev
        libsqlite3-dev libudunits2-dev
Repository: https://soerenpannier.r-universe.dev
Date/Publication: 2025-08-23 17:57:56 UTC
RemoteUrl: https://github.com/soerenpannier/emdi
RemoteRef: HEAD
RemoteSha: 678fab1e395111f7513122239fa13780aa683228
NeedsCompilation: no
Packaged: 2026-06-19 09:02:14 UTC; root
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@fu-berlin.de>