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emdi (version 1.1.4)

Estimating and Mapping Disaggregated Indicators

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) ), 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.

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Install

install.packages('emdi')

Monthly Downloads

802

Version

1.1.4

License

GPL-2

Issues

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Maintainer

Soeren Pannier

Last Published

October 10th, 2018

Functions in emdi (1.1.4)

estimators.emdi

Presents point, MSE and/or CV estimates of an emdiObject
print.summary.emdi

Prints a summary.emdi object
print.estimators.emdi

Prints estimators.emdi objects
tail.estimators.emdi

Returns the last part of predicted indicators and, if chosen, of MSE and CV estimators.
summary.emdi

Summarizes an emdiObject
print.emdi

Prints an emdiObject
write.excel

Exports an emdiObject to an excel file or OpenDocument Spreadsheet
load_shapeaustria

Loading the shape file for austrian districts
head.estimators.emdi

Returns the first part of predicted indicators and, if chosen, of MSE and CV estimators.
subset.estimators.emdi

Subsets an estimators.emdi object
map_plot

Visualizes regional disaggregrated estimates on a map
eusilcA_pop

Simulated eusilc data - population data
plot.emdi

Plots for an emdi object
eusilcA_smp

Simulated eusilc data - sample data
as.data.frame.estimators.emdi

Transforms estimators.emdi objects into a dataframe object
direct

Direct estimation of disaggregated indicators
compare_plot

Shows plots for the comparison of direct and model-based estimates
data_transformation

Tranforms dependent variables
emdi

A package for estimating and mapping disaggregated indicators
estimators

Presents point, MSE and CV estimates
as.matrix.estimators.emdi

Transforms estimators.emdi objects into a matrix object
emdiObject

Fitted emdiObject
ebp

Empirical Best Prediction for disaggregated indicators