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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}.

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install.packages('emdi')

Monthly Downloads

1,051

Version

2.0.3

License

GPL-2

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Maintainer

Soeren Pannier

Last Published

May 16th, 2021

Functions in emdi (2.0.3)

data_transformation

Tranforms dependent variables
compare_plot

Shows plots for the comparison of estimates
combine_data

Combines sample and population data
ebp

Empirical Best Prediction for disaggregated indicators
compare

Compare function
direct

Direct estimation of disaggregated indicators
emdi

A package for estimating and mapping disaggregated indicators
compare_pred

Compare predictions of model objects
benchmark

Benchmark function
emdiObject

Fitted emdiObject
eusilcA_prox

Proximity matrix for spatial area-level models
map_plot

Visualizes regional disaggregated estimates on a map
fh

Standard and extended Fay-Herriot models for disaggregated indicators
plot.emdi

Plots for an emdi object
eusilcA_smpAgg

Simulated eusilc data - aggregated sample data
intervals

Confidence intervals on coefficients of an emdi object
ranef

Extract random effects of emdi objects
load_shapeaustria

Loading the shape file for austrian districts
eusilcA_pop

Simulated eusilc data - population data
eusilcA_popAgg

Simulated eusilc data - aggregated population data
predict.emdi

Predictions from emdi objects
getVarCov

Extract variance-covariance matrix from an emdi object
getResponse

Extract response variable from an emdi object
fixef

Extract fixed effects from an emdi object
qqnorm.emdi

Quantile-quantile plots for an emdi object
eusilcA_smp

Simulated eusilc data - sample data
emdi_summaries

Summarizes an emdiObject
getData

Extract emdi object data
step

Step function
spatialcor.tests

Spatial autocorrelation tests
write.excel

Exports an emdiObject to an Excel file or OpenDocument Spreadsheet
estimators

Presents point, MSE and CV estimates
getGroupsFormula

Extract grouping formula from an emdi object
getGroups

Extract grouping factors from an emdi object