create_target_priority

This argument controls how quickly each set of 
 targets is relaxed. In other words: how important it is to match the target
 exactly. Defaults to <code>10,000,000</code>, which means that all targets should
 be matched exactly.<dl class="dl-horizontal">
 <dt><code>real</code></dt><dd>This priority value will be used for each target table.</dd>
 <dt><code>named list</code></dt><dd>Each named entry must match an entry in either
 <code>primary_targets</code> or <code>secondary_targets</code> and have a <code>real</code>.
 This priority will be applied to that target table. Any targets not in the
 list will default to <code>10,000,000</code>.</dd>
 <dt><code>data.frame</code></dt><dd>Column <code>target</code> must have values that match an
 entry in either <code>primary_targets</code> or <code>secondary_targets</code>. Column 
 <code>priority</code> contains the values to use for priority. Any targets not in
 the table will default to <code>10,000,000</code>.</dd>
</dl>

target_priority

The complete list of targets (both primary and secondary)

targets

Create a named list of target priority levels.

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

create_target_priority function

This argument controls how quickly each set of 
 targets is relaxed. In other words: how important it is to match the target
 exactly. Defaults to <code>10,000,000</code>, which means that all targets should
 be matched exactly.<dl class='dl-horizontal'>
 <dt><code>real</code></dt><dd>This priority value will be used for each target table.</dd>
 <dt><code>named list</code></dt><dd>Each named entry must match an entry in either
 <code>primary_targets</code> or <code>secondary_targets</code> and have a <code>real</code>.
 This priority will be applied to that target table. Any targets not in the
 list will default to <code>10,000,000</code>.</dd>
 <dt><code>data.frame</code></dt><dd>Column <code>target</code> must have values that match an
 entry in either <code>primary_targets</code> or <code>secondary_targets</code>. Column 
 <code>priority</code> contains the values to use for priority. Any targets not in
 the table will default to <code>10,000,000</code>.</dd>
</dl>

create_target_priority: Create a named list of target priority levels.

Description

Usage

Arguments