ipfr: List Balancing for Reweighting and Population Synthesis (original) (raw)
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 |
| 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 |
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