Markov Chain Monte Carlo Methods for Redistricting Simulation


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Documentation for package ‘redist’ version 1.3-1

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redist-package Markov Chain Monte Carlo Methods for Redistricting Simulation
algdat.p10 All Partitions of 25 Precincts into 3 Congressional Districts (10% Population Constraint)
algdat.p20 All Partitions of 25 Precincts into 3 Congressional Districts (20% Population Constraint)
algdat.pfull All Partitions of 25 Precincts into 3 Congressional Districts (No Population Constraint)
redist Markov Chain Monte Carlo Methods for Redistricting Simulation
redist.combine Combine successive runs of 'redist.mcmc'
redist.combine.mpi Combine successive runs of 'redist.mcmc.mpi'
redist.diagplot Diagnostic plotting functionality for MCMC redistricting.
redist.enumerate Exact Redistricting Plan Enumerator
redist.findparams Run parameter testing for 'redist.mcmc'
redist.ipw Inverse probability reweighting for MCMC Redistricting
redist.mcmc MCMC Redistricting Simulator
redist.mcmc.mpi MCMC Redistricting Simulator using MPI
redist.rsg Redistricting via Random Seed and Grow Algorithm
redist.segcalc Segregation index calculation for MCMC redistricting.