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 |
| Reference manual: | ipfr.html ,ipfr.pdf |
| Vignettes: | common_ipf_problems (source,R code) using_ipfr (source,R code) |
| Package source: | ipfr_1.0.2.tar.gz |
| 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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