Calibrating survey data using iterative proportional fitting (raking). 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.
Keywords for this software
References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Kim, Kyeonghee; Rosenberg, Marjorie A.: Determinants of persistent high utilizers in U.S. adults using nationally representative data (2020)
- Kim, Kyeonghee; Rosenberg, Marjorie A.: The role of unhealthy behaviors on an individual’s self-reported perceived health status (2018)
- Dettmann, E.; Becker, C.; Schmeißer, C.: Distance functions for matching in small samples (2011)