redist: Simulation Methods for Legislative Redistricting

Enables researchers to sample redistricting plans from a pre-specified target distribution using Sequential Monte Carlo and Markov Chain Monte Carlo algorithms. The package allows for the implementation of various constraints in the redistricting process such as geographic compactness and population parity requirements. Tools for analysis such as computation of various summary statistics and plotting functionality are also included. The package implements methods described in Fifield, Higgins, Imai and Tarr (2020) <doi:10.1080/10618600.2020.1739532>, Fifield, Imai, Kawahara, and Kenny (2020) <doi:10.1080/2330443X.2020.1791773>, and McCartan and Imai (2020) <arXiv: 2008.06131>.

Version: 3.0.1
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 0.11.0), rlang, vctrs, tidyselect, stringr, dplyr (≥ 1.0.0), sf, doParallel, foreach, servr, sys, coda, ggplot2, patchwork, readr
LinkingTo: Rcpp, RcppArmadillo
Suggests: igraph, lwgeom, withr, loo, Rmpi, knitr, rmarkdown, rmapshaper, scales, units, spdep, RSpectra, testthat (≥ 3.0.0)
Published: 2021-04-07
Author: Christopher T. Kenny [aut, cre], Cory McCartan [aut], Ben Fifield [aut], Kosuke Imai [aut], Jun Kawahara [ctb], Alexander Tarr [ctb], Michael Higgins [ctb]
Maintainer: Christopher T. Kenny <christopherkenny at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: OpenMPI, gmp, libxml2, python
Citation: redist citation info
Materials: NEWS ChangeLog
CRAN checks: redist results


Reference manual: redist.pdf
Vignettes: Glossary of Key Redistricting Terms
Map Pre-processing for Special Constraints
Redistricting with Flip MCMC
MPI / Slurm Sample Scripts
Introduction to redist
Package source: redist_3.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: redist_3.0.1.tgz, r-oldrel: redist_2.0.2.tgz
Old sources: redist archive


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