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DESCRIPTION
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DESCRIPTION
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Package: ipfr
Title: List Balancing for Reweighting and Population Synthesis
Version: 1.0.2
Authors@R: c(
person(
"Kyle", "Ward", email = "kyleward084@gmail.com",
role = c("aut", "cre", "cph")
),
person("Greg", "Macfarlane", email = "gregmacfarlane@byu.edu", role = c("ctb")))
Description: 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.
License: Apache License (== 2.0)
URL: https://github.com/dkyleward/ipfr
BugReports: https://github.com/dkyleward/ipfr/issues
Depends:
R (>= 3.2.0)
Imports:
dplyr (>= 0.7.3),
ggplot2 (>= 2.2.1),
magrittr (>= 1.5),
tidyr (>= 0.5.1),
mlr (>= 2.11)
LazyData: true
Suggests:
knitr,
rmarkdown,
testthat (>= 2.1.0),
covr
VignetteBuilder: knitr
RoxygenNote: 7.0.2