adjust_factor

A correction factor that is calculated using target/current.

factor

A <code>real</code> between 0 and 1 signifying the importance of
the factor. An importance of 1 does not modify the factor. An importance of
0.5 would shrink the factor closer to 1.0 by 50 percent.

importance

At lower values of importance, the factor is moved closer to 1.

internal

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.

adjust_factor: Applies an importance weight to an ipfr factor

Description

Usage

Arguments

Value