Performs iterative proportional updating given a seed table and an arbitrary number of marginal distributions. This is commonly used in population synthesis, survey raking, matrix rebalancing, and other applications. For example, a household survey may be weighted to match the known distribution of households by size from the census. An origin/ destination trip matrix might be balanced to match traffic counts. The approach used by this package is based on a paper from Arizona State University (Ye, Xin, et. al. (2009) <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.537.723&rep=rep1&type=pdf>). Some enhancements have been made to their work including primary and secondary target balance/importance, general marginal agreement, and weight restriction.
Version: 1.0.2 Depends: R (≥ 3.2.0) Imports: dplyr (≥ 0.7.3), ggplot2 (≥ 2.2.1), magrittr (≥ 1.5), tidyr (≥ 0.5.1), mlr (≥ 2.11) Suggests: knitr, rmarkdown, testthat (≥ 2.1.0), covr Published: 2020-04-01 DOI: 10.32614/CRAN.package.ipfr Author: Kyle Ward [aut, cre, cph], Greg Macfarlane [ctb] Maintainer: Kyle Ward <kyleward084 at gmail.com> BugReports: https://github.com/dkyleward/ipfr/issues License: Apache License (== 2.0) URL: https://github.com/dkyleward/ipfr NeedsCompilation: no Materials: README, NEWS CRAN checks: ipfr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ipfr to link to this page.
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