ipfr: List Balancing for Reweighting and Population Synthesis

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=>). 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
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.pdf
Vignettes: common_ipf_problems
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-release (x86_64): ipfr_1.0.2.tgz, r-oldrel: ipfr_1.0.2.tgz
Old sources: ipfr archive


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