part_bias

Reliable and flexible tools for scoring redistricting plans using
common measures and metrics. These functions provide key direct access to
tools useful for non-simulation analyses of redistricting plans, such as for
measuring compactness or partisan fairness. Tools are designed to work with
the 'redist' package seamlessly.

Christopher T. Kenny

redistmetrics

Redistricting Metrics

Cory McCartan

Ben Fifield

Kosuke Imai

part_bias function

<dl><dt>plans</dt>
<dd>A <code>redist_plans</code> object or plans_matrix where each row indicates a district assignment and each column is a plan.</dd>
<dt>shp</dt>
<dd>A <code>redist_map</code> object, tibble, or data frame containing other columns.</dd>
<dt>dvote</dt>
<dd>Unqouted name of column in <code>shp</code> with total population.</dd>
<dt>rvote</dt>
<dd>Unqouted name of column in <code>shp</code> with group population.</dd>
<dt>v</dt>
<dd>vote share to calculate bias at. Numeric. Default is 0.5.</dd></dl>

Arguments

Calculate Partisan Bias — part_bias

<dl>

<dt>plans</dt>
<dd>A <code>redist_plans</code> object or plans_matrix where each row indicates a district assignment and each column is a plan.</dd>


<dt>shp</dt>
<dd>A <code>redist_map</code> object, tibble, or data frame containing other columns.</dd>


<dt>dvote</dt>
<dd>Unqouted name of column in <code>shp</code> with total population.</dd>


<dt>rvote</dt>
<dd>Unqouted name of column in <code>shp</code> with group population.</dd>


<dt>v</dt>
<dd>vote share to calculate bias at. Numeric. Default is 0.5.</dd>

</dl>

part_bias: Calculate Partisan Bias

Description

Usage

Value

Arguments

References

Examples