get_plans_weights

weights.redist_plans

<p>the <code>redist_plans</code> object</p>

plans, object

<p>May be <code>NULL</code> if no weights exist (MCMC or optimization methods).</p>

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>.

Christopher T. Kenny

redist

Simulation Methods for Legislative Redistricting

Cory McCartan

Ben Fifield

Kosuke Imai

Jun Kawahara

Alexander Tarr

Michael Higgins

get_plans_weights function

Extract the sampling weights from a redistricting simulation. — get_plans_weights

Extract the sampling weights from a redistricting simulation.

get_plans_weights: Extract the sampling weights from a redistricting simulation.

Description

Usage

Arguments

Value