fayherriot:

Description Usage Arguments Value See Also Examples

Method estimators.emdi presents point and MSE estimates for regional disaggregated indicators. Coefficients of variation are calculated using these estimators. This method enables to select for which indicators the estimates shall be returned. The returned object is suitable for printing with the print.estimators.emdi method.

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## S3 method for class 'emdi'
estimators(object, indicator = "all", MSE = FALSE,
  CV = FALSE, ...)

`object`	an object of type "emdi", representing point and, if chosen, MSE estimates.
`indicator`	optional character vector that selects which indicators shall be returned: (i) all calculated indicators ("all"); (ii) each indicator name: "Mean", "Quantile_10", "Quantile_25", "Median", "Quantile_75", "Quantile_90", "Head_Count", "Poverty_Gap", "Gini", "Quintile_Share" or the function name/s of "custom_indicator/s"; (iii) groups of indicators: "Quantiles", "Poverty", "Inequality" or "Custom". If two of these groups are selected, only the first one is returned. Defaults to "all". Note, additional custom indicators can be defined as argument for model-based approaches (see also `ebp`) and do not appear in groups of indicators even though these might belong to one of the groups.
`MSE`	optional logical. If `TRUE`, MSE estimates for selected indicators per domain are added to the data frame of point estimates. Defaults to `FALSE`.
`CV`	optional logical. If `TRUE`, coefficients of variation for selected indicators per domain are added to the data frame of point estimates. Defaults to `FALSE`.
`...`	other parameters that can be passed to function `estimators`.

an object of type "estimators.emdi" with point and/or MSE estimates and/or calculated CV's per domain obtained from emdiObject$ind and, if chosen, emdiObject$MSE. These objects contain two elements, one data frame ind and a character naming the indicator or indicator group ind_name.

emdiObject, direct, ebp

## Not run: 
# Loading data - population and sample data
data("eusilcA_pop")
data("eusilcA_smp")

# Generate emdi object with additional indicators; here via function ebp()
emdi_model <- ebp(fixed = eqIncome ~ gender + eqsize + cash +
self_empl + unempl_ben + age_ben + surv_ben + sick_ben + dis_ben + rent +
fam_allow + house_allow + cap_inv + tax_adj, pop_data = eusilcA_pop,
pop_domains = "district", smp_data = eusilcA_smp, smp_domains = "district",
threshold = 11064.82, transformation = "box.cox",
L = 50, MSE = TRUE, B = 50, custom_indicator =
list(my_max = function(y, threshold){max(y)},
my_min = function(y, threshold){min(y)}), na.rm = TRUE, cpus = 1)

# Example 1: Choose Gini coefficient, MSE and CV
estimators(emdi_model, indicator = "Gini", MSE = TRUE, CV = TRUE)

# Example 2: Choose custom indicators without MSE and CV
estimators(emdi_model, indicator = "Custom")

## End(Not run)