Description Usage Arguments Value See Also Examples
Additional information about the data and model in small area estimation
methods and components of an emdi object are extracted. The returned object
is suitable for printing with the print.summary.emdi
method.
1 2 
object 
an object of type "emdi", representing point and MSE estimates. Objects differ depending on the estimation method: direct vs. modelbased. 
... 
additional arguments that are not used in this method. 
an object of type "summary.emdi" with following components:
out_of_smp 
if modelbased estimation, number of outofsample domains
equivalent to 
in_smp 
number of insample domains equivalent to 
size_smp 
number of units in sample equivalent to 
size_pop 
if modelbased estimation, number of units in population equivalent to 
size_dom 
a data frame with rows Sample_domains and Population_domains (if modelbased estimation) representing summary statisitics of the sample sizes across domains of sample and population data, respectively. 
transform 
if modelbased estimation, a data frame with columns Transformation, Method, Optimal_lambda and Shift_parameter representing the chosen transformation type and estimation method for lambda as well as their results. 
normality 
if modelbased estimation, a data frame with columns Skewness,
Kurtosis, Shapiro_W and Shapiro_p where the latter two represent
the results of a ShapiroWilksTest for normality.
Rows correspond to Pearson residuals and random effects
of the nested error regression model. The functions

icc 
if modelbased estimation, the value of the intraclass coefficient. 
coeff_determ 
if modelbased estimation, a data frame with colums
Marginal_R2 and Conditional_R2 representing two R2 measures
for linear mixed models from the MuMIn package
obtained by function 
call 
a list containing an image of the function call that produced the object. 
emdiObject
, direct
, ebp
,
r.squaredGLMM
, skewness
,
kurtosis
, shapiro.test
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18  ## Not run:
# Loading data  population and sample data
data("eusilcA_pop")
data("eusilcA_smp")
# Example with two additional indicators
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 = function(y){0.6 * median(y)}, 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)
# Receive first overview
summary(emdi_model)
## End(Not run)

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