combine_data

a data frame with population data.

pop_data

a character string indicating the domain variable that is
included in <code>pop_data</code>.

pop_domains

smp_data

a character string indicating the domain variable that is 
included in <code>smp_data</code>.

smp_domains

This function combines different data sets.

Functions that support estimating, assessing and mapping regional
disaggregated indicators. So far, estimation methods comprise direct estimation,
the model-based unit-level approach Empirical Best Prediction (see "Small area
estimation of poverty indicators" by Molina and Rao (2010) <doi:10.1002/cjs.10051>),
the area-level model (see "Estimates of income for small places: An
application of James-Stein procedures to Census Data" by (Fay and Herriot 1979)
<doi:10.1080/01621459.1979.10482505>) and various extensions of it (adjusted variance estimation methods,
log and arcsin transformation, spatial, robust and measurement error models),
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. For a detailed description of the package and the methods used
see "The {R} Package {emdi} for Estimating and Mapping Regionally Disaggregated Indicators"
by Kreutzmann et al. (2019) <doi:10.18637/jss.v091.i07>.

Soeren Pannier

emdi

combine_data: Combines sample and population data

Description

Usage

Arguments

Value