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.
|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|
|Author:||Kyle Ward [aut, cre, cph], Greg Macfarlane [ctb]|
|Maintainer:||Kyle Ward <kyleward084 at gmail.com>|
|License:||Apache License (== 2.0)|
|CRAN checks:||ipfr results|
|Windows binaries:||r-devel: ipfr_1.0.2.zip, r-release: ipfr_1.0.2.zip, r-oldrel: ipfr_1.0.2.zip|
|macOS binaries:||r-release (arm64): ipfr_1.0.2.tgz, r-oldrel (arm64): ipfr_1.0.2.tgz, r-release (x86_64): ipfr_1.0.2.tgz, r-oldrel (x86_64): ipfr_1.0.2.tgz|
|Old sources:||ipfr archive|
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