mrR Documentation

Robust minimum estimated risk estimator of the mean

Description

The function computes the minimum estimated risk M-estimator of the mean given that the true population mean is known (argument population)

Usage

mr(design, formula, population, k)

Arguments

design

a survey.design object

formula

one-sided formula (e.g., ~myvariable)

population

true population mean

k

robustness tuning constant

Details

The function calibrate_rob requires the following R packages:

  1. survey

  2. robsurvey

Value

An object of class svystat.rob object (see pkg robsurvey)

warning

You must not call this function unless you really know how it works! Also, the function does not check whether the provided arguments are meaningful. It is the user's responsibility to make sure that the arguments are properly specified.

Author(s)

Tobias Schoch

References

Schoch, T. and A. Müller (2020. Treatment of sample under-representation and skewed heavy-tailed distributions in survey-based microsimulation: An analysis of redistribution effects in compulsory health care insurance in Switzerland, AStA Wirtschafts- und Sozialstatistisches Archiv 30, pp. 2–23.