# Estimating and Mapping Disaggregated Indicators

## Documentation for package ‘emdi’ version 2.0.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

as.data.frame.estimators.emdi | Transforms estimators.emdi objects into a dataframe object
as.matrix.estimators.emdi | Transforms estimators.emdi objects into a matrix object
benchmark | Benchmark function
combine_data | Combines sample and population data
compare | Compare function
compare.fh | Compare function
compare_plot | Shows plots for the comparison of estimates
compare_plot.emdi | Shows plots for the comparison of estimates
data_transformation | Tranforms dependent variables
direct | Direct estimation of disaggregated indicators
ebp | Empirical Best Prediction for disaggregated indicators
emdi | A package for estimating and mapping disaggregated indicators
emdiObject | Fitted emdiObject
estimators | Presents point, MSE and CV estimates
estimators.emdi | Presents point, MSE and/or CV estimates of an emdiObject
eusilcA_pop | Simulated eusilc data - population data
eusilcA_popAgg | Simulated eusilc data - aggregated population data
eusilcA_prox | Proximity matrix for spatial area-level models
eusilcA_smp | Simulated eusilc data - sample data
eusilcA_smpAgg | Simulated eusilc data - aggregated sample data
fh | Standard and extended Fay-Herriot models for disaggregated indicators
head.estimators.emdi | Returns the first part of predicted indicators and, if chosen, of MSE and CV estimators.
load_shapeaustria | Loading the shape file for austrian districts
map_plot | Visualizes regional disaggregated estimates on a map
plot.emdi | Plots for an emdi object
print.compare.fh | Prints compare.fh objects
print.emdi | Prints an emdiObject
print.estimators.emdi | Prints estimators.emdi objects
print.step | Prints step function results
print.summary.emdi | Prints a summary.emdi object
spatialcor.tests | Spatial autocorrelation tests
step | Step function
step.default | Step function
step.fh | Method 'step.fh' selects a Fay-Herriot model by different information criteria in a stepwise algorithm.
subset.estimators.emdi | Subsets an estimators.emdi object
summary.emdi | Summarizes an emdiObject
tail.estimators.emdi | Returns the last part of predicted indicators and, if chosen, of MSE and CV estimators.
write.excel | Exports an emdiObject to an Excel file or OpenDocument Spreadsheet
write.ods | Exports an emdiObject to an Excel file or OpenDocument Spreadsheet