redist.parity

A matrix with one row 
for each precinct and one column for each map. Required.

district_membership

A numeric vector with the population for every precinct.

population

Number of cores to use for parallel computing. Default is 1.

ncores

<code>redist.parity</code> computes the population parity of a matrix of maps.

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 methods
described in Fifield, Higgins, Imai and Tarr (2020) <doi: 10.1080/10618600.2020.1739532>,
Fifield, Imai, Kawahara, and Kenny (2020) <doi: 10.1080/2330443X.2020.1791773>,
and McCartan and Imai (2020) <arXiv: 2008.06131>.

Ben Fifield

redist

redist.parity: Calculates Population Parity

Description

Usage

Arguments

Value