estimators

an object for which point and/or MSE estimates and/or
calculated CV's are desired.

object

optional character vector that selects which indicators
shall be returned.

indicator

optional logical. If <code>TRUE</code>, MSE estimates for selected indicators
per domain are added to the data frame of point estimates. Defaults to
<code>FALSE</code>.

optional logical. If <code>TRUE</code>, coefficients of variation for selected
indicators per domain are added to the data frame of point estimates.
Defaults to <code>FALSE</code>.

arguments to be passed to or from other methods.

Function <code>estimators</code> is a generic function used to present point and
mean squared error (MSE) estimates and calculated coefficients of variation
(CV).

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>.

estimators: Presents point, MSE and CV estimates

Description

Usage

Arguments

Value