min_move_parity

This function computes a minimal set of population moves (e.g., 5 people from
district 1 to district 3) to maximally balance the population between
districts. The moves are only allowed between districts that share the
territory of a county, so that any boundary adjustments are guaranteed to
preserve all unbroken county boundaries.

Enables researchers to sample redistricting plans from a pre-specified
target distribution using Sequential Monte Carlo and Markov Chain Monte Carlo
algorithms. The package allows for the implementation of various constraints in
the redistricting process such as geographic compactness and population parity
requirements. Tools for analysis such as computation of various summary statistics
and plotting functionality are also included. The package implements the SMC
algorithm of McCartan and Imai (2023) <doi:10.1214/23-AOAS1763>, the enumeration
algorithm of Fifield, Imai, Kawahara, and Kenny (2020) <doi:10.1080/2330443X.2020.1791773>,
the Flip MCMC algorithm of Fifield, Higgins, Imai and Tarr (2020) <doi:10.1080/10618600.2020.1739532>,
the Merge-split/Recombination algorithms of Carter et al. (2019) <arXiv:1911.01503>
and DeFord et al. (2021) <doi:10.1162/99608f92.eb30390f>, and the Short-burst
optimization algorithm of Cannon et al. (2020) <arXiv:2011.02288>.

Christopher T. Kenny

redist

Simulation Methods for Legislative Redistricting

Cory McCartan

Ben Fifield

Kosuke Imai

Jun Kawahara

Alexander Tarr

Michael Higgins

min_move_parity function

<dl><dt>map</dt>
<dd>a redist_map</dd>
<dt>plan</dt>
<dd>an integer vector containing the plan to be balanced.
Tidy-evaluated.</dd>
<dt>counties</dt>
<dd>an optional vector of counties, whose boundaries will be
preserved. Tidy-evaluated.</dd>
<dt>penalty</dt>
<dd>the larger this value, the more to encourage sparsity.</dd></dl>

Arguments

Calculates Sparse Population Moves to Minimize Population Deviation — min_move_parity

<dl>

<dt>map</dt>
<dd>a redist_map</dd>


<dt>plan</dt>
<dd>an integer vector containing the plan to be balanced.
Tidy-evaluated.</dd>


<dt>counties</dt>
<dd>an optional vector of counties, whose boundaries will be
preserved. Tidy-evaluated.</dd>


<dt>penalty</dt>
<dd>the larger this value, the more to encourage sparsity.</dd>

</dl>

min_move_parity: Calculates Sparse Population Moves to Minimize Population Deviation

Description

Usage

Value

Arguments

Examples