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.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
