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=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.

Package details

AuthorKyle Ward [aut, cre, cph], Greg Macfarlane [ctb]
MaintainerKyle Ward <[email protected]>
LicenseApache License (== 2.0)
Version1.0.1
URL https://github.com/dkyleward/ipfr
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ipfr")

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ipfr documentation built on Jan. 8, 2020, 5:09 p.m.