Simulation Algorithm Implementations

Core functions to perform a redistricting simulation

redist_smc()

SMC Redistricting Sampler

redist_mergesplit()

Merge-Split/Recombination MCMC Redistricting Sampler

redist_mergesplit_parallel()

Parallel Merge-Split/Recombination MCMC Redistricting Sampler

redist_flip()

'Flip' Markov Chain Monte Carlo Redistricting Simulation

redist_shortburst()

Redistricting Optimization through Short Bursts

redist_constr()

Set up constraints for sampling

add_constr_status_quo() add_constr_grp_pow() add_constr_grp_hinge() add_constr_grp_inv_hinge() add_constr_compet() add_constr_incumbency() add_constr_splits() add_constr_multisplits() add_constr_total_splits() add_constr_pop_dev() add_constr_segregation() add_constr_polsby() add_constr_fry_hold() add_constr_log_st() add_constr_edges_rem() add_constr_custom()

Sampling constraints

redist.crsg()

Redistricting via Compact Random Seed and Grow Algorithm

redist.flip()

(Deprecated) Flip MCMC Redistricting Simulator

redist.flip.anneal()

(Deprecated) Flip MCMC Redistricting Simulator using Simulated Annealing

redist.mcmc.mpi()

MCMC Redistricting Simulator using MPI

redist.rsg()

Redistricting via Random Seed and Grow Algorithm

redist_flip_anneal()

Flip MCMC Redistricting Simulator using Simulated Annealing

Analysis Functions

Functions for analyzing simulation outputs

redist_plans()

A set of redistricting plans

summary(<redist_plans>)

Diagnostic information on sampled plans

add_reference()

Add a reference plan to a set of plans

subset_sampled() subset_ref()

Subset to sampled or reference draws

get_plans_matrix() as.matrix(<redist_plans>)

Extract the matrix of district assignments from a redistricting simulation

get_plans_weights() weights(<redist_plans>)

Extract the sampling weights from a redistricting simulation.

number_by()

Renumber districts to match a quantity of interest

pullback()

Pull back plans to unmerged units

match_numbers()

Renumber districts to match an existing plan

tally_var()

Tally a variable by district

avg_by_prec()

Average a variable by precinct

classify_plans()

Hierarchically classify a set of redistricting plans

compare_plans()

Make a comparison between two sets of plans

is_county_split()

Identify which counties are split by a plan

last_plan()

Extract the last plan from a set of plans

min_move_parity()

Calculates Sparse Population Moves to Minimize Population Deviation

plans_diversity()

Calculate the diversity of a set of plans

plot(<redist_classified>)

Plot a plan classification

prec_assignment()

Extract the district assignments for a precinct across all simulated plans

prec_cooccurrence()

Compute a matrix of precinct co-occurrences

rbind(<redist_plans>)

Combine multiple sets of redistricting plans

distr_compactness() redist.compactness()

Calculate compactness measures for a set of plans

competitiveness() redist.competitiveness()

Compute Competitiveness

plan_distances() redist.distances()

Compute Distance between Partitions

redist.district.splits()

Counts the Number of Counties within a District

group_frac() redist.group.percent()

Calculate Group Proportion by District

partisan_metrics() redist.metrics()

Calculate gerrymandering metrics for a set of plans

redist.multisplits()

Counts the Number of Counties Split Between 3 or More Districts

muni_splits() redist.muni.splits()

Counts the Number of Municipalities Split Between Districts

redist.parity() plan_parity()

Calculates Maximum Deviation from Population Parity

segregation_index() redist.segcalc()

Segregation index calculation for MCMC redistricting.

county_splits() redist.splits()

Count County Splits

redist_smc_ci()

Confidence Intervals for SMC Estimates

Setup Helpers

Functions that help prepare data and select constraints

redist_map() as_redist_map()

Create a redist_map object.

get_adj() set_adj()

Get and set the adjacency graph from a redist_map object

get_existing()

Extract the existing district assignment from a redist_map object

get_pop_tol() set_pop_tol()

Get and set the population tolerance from a redist_map object

get_target()

Extract the target district population from a redist_map object

is_contiguous()

Check that a redist_map object is contiguous

merge_by()

Merge map units

plot(<redist_constr>)

Visualize constraints

plot(<redist_map>)

Plot a redist_map

redist.coarsen.adjacency()

Coarsen Adjacency List

redist.constraint.helper()

Create Constraints for SMC

redist.county.id()

Create County IDs

redist.county.relabel()

Relabel Discontinuous Counties

redist.find.target()

Find Majority Minority Remainder

redist.findparams()

Run parameter testing for redist.flip

freeze() redist.freeze()

Freeze Parts of a Map

make_cores() redist.identify.cores()

Identify Cores of a District (Heuristic)

redist.plot.penalty()

(Deprecated) Visualize Group Power Penalty

redist.reduce.adjacency()

Reduce Adjacency List

redist.sink.plan()

Sink Plans to 1:ndists

redist.subset()

Subset a shp

`*`(<redist_scorer>) `+`(<redist_scorer>) `-`(<redist_scorer>)

Scoring function arithmetic

scorer_group_pct() scorer_pop_dev() scorer_splits() scorer_multisplits() scorer_frac_kept() scorer_polsby_popper() scorer_status_quo()

Scoring functions for redist_shortburst

Plotting Tools

Functions for creating plots and maps

plot(<redist_map>)

Plot a redist_map

plot(<redist_plans>)

Summary plots for \link{redist_plans}

redist.diagplot()

Diagnostic plotting functionality for MCMC redistricting.

redist.plot.adj()

Creates a Graph Overlay

redist.plot.cores()

Plot Cores

redist.plot.distr_qtys()

Plot quantities by district

redist.plot.hist() hist(<redist_plans>)

Plot a histogram of a summary statistic

redist.plot.majmin()

Majority Minority Plots

redist.plot.map()

Plot a Map

redist.plot.plans()

Plot a district assignment

redist.plot.scatter()

Scatter plot of plan summary statistics

redist.plot.trace()

Make a traceplot for a summary statistic

redist.plot.varinfo()

Static Variation of Information Plot

Data

Data included to help demonstrate capabilities

EPSG

EPSG Table

fl25

Florida 25 Precinct Shape File

fl250

Florida 250 Precinct Shape File

fl25_adj

Florida 25 Precinct File

fl25_enum

All Partitions of 25 Precincts into 3 Congressional Districts (No Population Constraint)

fl70

Florida 70 Precinct Shape File

iowa

Iowa County File

Post Processing Helpers

Functions that help setup outputs for easier use

redist.combine()

(Deprecated) Combine successive runs of redist.flip

redist.combine.anneal()

(Deprecated) redist.combine.anneal

redist.combine.mpi()

Combine successive runs of redist.mcmc.mpi

redist.ipw()

Inverse probability reweighting for MCMC Redistricting

redist.smc_is_ci()

(Deprecated) Confidence Intervals for Importance Sampling Estimates

redist.uncoarsen()

Uncoarsen a District Matrix

Enumeration Tools

Functions for more involved enumeration choices

redist.calc.frontier.size()

Calculate Frontier Size

redist.enumpart()

Enumerate All Parititions

redist.init.enumpart()

Initialize enumpart

redist.prep.enumpart()

Prepares a run of the enumpart algorithm by ordering edges

redist.read.enumpart()

Read Results from enumpart

redist.run.enumpart()

Runs the enumpart algorithm

Miscellaneous

Other functions

redist-package

Simulation Methods for Legislative Redistricting

get_mh_acceptance_rate()

Extract the Metropolis Hastings Acceptance Rate

get_sampling_info()

Extract the sampling information from a redistricting simulation

persily()

Local Plan Optimization

pick_a_plan()

Pick One Plan from Many Plans

print(<redist_classified>)

Print redist_classified objects

print(<redist_constr>)

Generic to print redist_constr

print(<redist_map>)

Generic to print redist_map

print(<redist_plans>)

Print method for redist_plans

redist.adjacency()

Adjacency List functionality for redist

redist.dist.pop.overlap()

Compare the Population Overlap Across Plans at the District Level

redist.plot.interactive()

Display an interactive map

redist.plot.wted.adj()

Plot Weighted Border Adjacency

redist.prec.pop.overlap()

Compare the Population Overlap Across Plans at the Precinct Level

redist.prep.polsbypopper()

Prep Polsby Popper Perimeter Dataframe

redist.random.subgraph()

Return a random subgraph of a shape

redist.reorder()

Reorders district numbers

redist.wted.adj()

Create Weighted Adjacency Data

redist_quantile_trunc()

Helper function to truncate importance weights