Calibrating survey data using iterative proportional fitting (raking)
Abstract. In this article, I introduce the ipfraking package, which implements
weight-calibration procedures known as iterative proportional fitting, or raking,
of complex survey weights. The package can handle a large number of control
variables and trim the weights in various ways. It also provides diagnostic tools
for the weights it creates. I provide examples of its use and a suggested workflow
for creating raked replicate weights.
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Stanislav Kolenikov
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ipfraking, mat2do, xls2row, survey, calibration, weights, raking, iterative proportional fitting
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