scale_targets

<code>named list</code> of <code>data.frames</code> in the same format
required by <a rd-options="" href="/link/ipu?package=ipfr&version=1.0.2" data-mini-rdoc="ipfr::ipu">ipu</a>.

targets

<code>logical</code> Show a warning for each target scaled?
Defaults to <code>FALSE</code>.

verbose

Often, different marginals may disagree on the total number of units. In the
context of household survey expansion, for example, one marginal might say
there are 100k households while another says there are 101k. This function
solves the problem by scaling all target tables to match the first target
table provided.

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.

Kyle Ward

ipfr

List Balancing for Reweighting and Population Synthesis

Greg Macfarlane

scale_targets function

<code>named list</code> of <code>data.frames</code> in the same format
required by <a rd-options='' href='ipu'>ipu</a>.

scale_targets: Scale targets to ensure consistency

Description

Usage

Arguments

Value