Package: emdi
Title: Estimating and Mapping Disaggregated Indicators
Version: 1.1.5
Date: 2019-04-08
Authors@R: c(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("Natalia", "Rojas-Perilla", role="aut", email = "natalia.rojas@fu-berlin.de"),
    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"))
Description: 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.
Depends: R (>= 3.3.0)
License: GPL-2
URL: https://github.com/SoerenPannier/emdi
LazyData: true
Copyright: inst/COPYRIGHTS
RoxygenNote: 6.1.1
Imports: nlme, moments, ggplot2, MuMIn, gridExtra, openxlsx, reshape2,
        graphics, stats, parallelMap, HLMdiag, parallel, boot, rgeos,
        maptools, MASS, readODS
Suggests: testthat, R.rsp, simFrame, laeken
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2019-04-08 16:19:12 UTC; spannier
Author: Ann-Kristin Kreutzmann [aut],
  Soeren Pannier [aut, cre],
  Natalia Rojas-Perilla [aut],
  Timo Schmid [aut],
  Matthias Templ [aut],
  Nikos Tzavidis [aut]
Maintainer: Soeren Pannier <soeren.pannier@fu-berlin.de>
Repository: CRAN
Date/Publication: 2019-04-08 16:42:44 UTC
Built: R 3.4.4; ; 2019-04-25 22:18:55 UTC; windows
