This open-source software package enables
researchers to sample redistricting plans from a pre-specified
target distribution using a Markov Chain Monte Carlo
algorithm. The package allows for the implementation of various
constraints in the redistricting process such as geographic
compactness and population parity requirements. The algorithm
also can be used in combination with efficient simulation methods
such as simulated and parallel tempering algorithms. Tools for
analysis such as inverse probability reweighting and plotting
functionality are included. The package implements methods
described in Fifield, Higgins, Imai and Tarr (2015) ``
A
New Automated Redistricting Simulator Using Markov Chain Monte
Carlo.''