# Markov Chain Monte Carlo Methods for Redistricting Simulation

## Documentation for package ‘redist’ version 1.3-3

- DESCRIPTION file.
- Code demos. Use demo() to run them.

## Help Pages

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.