All functions

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)

as.matrix(<redist>)

Extract the redistricting matrix from a redist object

fl25

Florida 25 Precinct File

fl250

Florida 250 Precinct File

fl70

Florida 70 Precinct File

redist-package

Markov Chain Monte Carlo Methods for Redistricting Simulation

redist.adjacency()

Adjacency List functionality for redist

redist.calc.frontier.size()

Calculate Frontier Size

redist.combine.anneal()

redist.combine.anneal

redist.combine.mpi()

Combine successive runs of redist.mcmc.mpi

redist.combine()

Combine successive runs of redist.mcmc

redist.compactness()

Calculate compactness measures for a set of districts

redist.crsg()

Redistricting via Compact Random Seed and Grow Algorithm

redist.diagplot()

Diagnostic plotting functionality for MCMC redistricting.

redist.distances()

Compute Distance between Partitions

redist.enumerate()

Exact Redistricting Plan Enumerator

redist.findparams()

Run parameter testing for redist.mcmc

redist.init.enumpart()

Initialize enumpart

redist.ipw()

Inverse probability reweighting for MCMC Redistricting

redist.map()

Creates a map with optional graph overlay

redist.mcmc.anneal()

MCMC Redistricting Simulator using Simulated Annealing

redist.mcmc.mpi()

MCMC Redistricting Simulator using MPI

redist.mcmc()

MCMC Redistricting Simulator

redist.metrics()

Calculate gerrymandering metrics for a set of districts

redist.parity()

Calculates Population Parity

redist.prep.enumpart()

Prepares a run of the enumpart algorithm by ordering edges

redist.read.enumpart()

Read Results from enumpart

redist.rsg()

Redistricting via Random Seed and Grow Algorithm

redist.run.enumpart()

Runs the enumpart algorithm

redist.samplepart()

Sample partitions using spanning trees

redist.segcalc()

Segregation index calculation for MCMC redistricting.

redist.smc()

SMC Redistricting Sampler

redist.smc_is_ci()

Confidence Intervals for Importance Sampling Estimates