dist_info

Calculate Variation of Information Distances

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

dist_info 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>total_pop</dt>
<dd>Unqouted name of column in <code>shp</code> with total population.</dd>
<dt>ncores</dt>
<dd>Integer number of cores to use. Default is 1.</dd></dl>

Arguments

Calculate Variation of Information Distances — dist_info

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


<dt>ncores</dt>
<dd>Integer number of cores to use. Default is 1.</dd>

</dl>

dist_info: Calculate Variation of Information Distances

Description

Usage

Value

Arguments

Examples