The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators
Abstract: The R package emdi enables the estimation of regionally disaggregated indicators using small area estimation methods and includes tools for processing, assessing, and presenting the results. The mean of the target variable, the quantiles of its distribution, the headcount ratio, the poverty gap, the Gini coefficient, the quintile share ratio, and customized indicators are estimated using direct and model-based estimation with the empirical best predictor (Molina and Rao 2010). The user is assisted by automatic estimation of datadriven transformation parameters. Parametric and semi-parametric, wild bootstrap for mean squared error estimation are implemented with the latter offering protection against possible misspecification of the error distribution. Tools for (a) customized parallel computing, (b) model diagnostic analyses, (c) creating high quality maps and (d) exporting the results to Excel and OpenDocument Spreadsheets are included. The functionality of the package is illustra
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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Veröffentlichungsversion
begutachtet (peer reviewed)
In: Journal of Statistical Software ; 91 (2019) 7 ; 1-33
- Event
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Veröffentlichung
- (where)
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Mannheim
- (who)
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SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V.
- (when)
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2019
- Creator
- DOI
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10.18637/jss.v091.i07
- URN
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urn:nbn:de:0168-ssoar-75286-2
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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25.03.2025, 1:48 PM CET
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kreutzmann, Ann-Kristin
- Pannier, Sören
- Rojas-Perilla, Natalia
- Schmid, Timo
- Templ, Matthias
- Tzavidis, Nikos
- SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V.
Time of origin
- 2019
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The R package emdi for estimating and mapping regionally disaggregated indicators
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Package ‘rSRD’ : Package Manual for package version 0.1.7
The R package emdi for estimating and mapping regionally disaggregated indicators
Estimating selected disaggregated socio-economic indicators using small area estimation techniques
Prediction Qualities of the Ifo Indicators on a Temporal Disaggregated German GDP
Mapping and Measuring Country Shapes : The cshapes Package
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Estimating Conditional Distributions with Neural Networks using R package deeptrafo
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PPP: a disaggregated view
Estimating actual evapotranspiration from remote sensing imagery using R: the package 'TriangleMethod'
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Package ‘rSRD’ : Package Manual for package version 0.1.7
The R package emdi for estimating and mapping regionally disaggregated indicators
Estimating selected disaggregated socio-economic indicators using small area estimation techniques
Prediction Qualities of the Ifo Indicators on a Temporal Disaggregated German GDP
Mapping and Measuring Country Shapes : The cshapes Package
Estimation of Disaggregated Indicators with Application to the Household Finance and Consumption Survey
Estimating Conditional Distributions with Neural Networks using R package deeptrafo
A Framework for the Estimation of Disaggregated Statistical Indicators Using Tree-Based Machine Learning Methods
PPP: a Disaggregated View
PPP: a disaggregated view
Estimating actual evapotranspiration from remote sensing imagery using R: the package 'TriangleMethod'
Estimating indicators of population health in acute and protracted humanitarian crises