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>.
igraph, s2, lwgeom, withr, loo, Rmpi, knitr, rmarkdown,
rmapshaper, scales, units, spdep, RSpectra, testthat (>= 3.0.0)

igraph, s2, lwgeom, withr, leaflet, leafgl, loo, Rmpi, knitr,
rmarkdown, rmapshaper, scales, units, spdep, RSpectra, testthat
(>= 3.0.0)

Rcpp (>= 0.11.0), rlang, cli (>= 3.1.0), vctrs, tidyselect,
stringr, dplyr (>= 1.0.0), sf, doParallel, foreach, doRNG,
servr, sys, ggplot2, patchwork
coda, s2, lwgeom, withr, leaflet, leafgl, loo, Rmpi, knitr,
rmarkdown, rmapshaper, scales, units, RSpectra, testthat (>=
3.0.0), rstudioapi
Rcpp, RcppArmadillo, RcppThread, cli, redistmetrics

c(
person("Christopher T.", "Kenny", email = "christopherkenny@fas.harvard.edu", role = c("aut", "cre")),
person("Cory", "McCartan", email = "cmccartan@g.harvard.edu", role = "aut"),
person("Ben", "Fifield", email = "benfifield@gmail.com", role = "aut"),
person("Kosuke", "Imai", email = "imai@harvard.edu", role = "aut"))
Reliable and flexible tools for scoring redistricting plans using common measures and metrics. These functions provide key direct access to tools useful for non-simulation analyses of redistricting plans, such as for measuring compactness or partisan fairness. Tools are designed to work with the 'redist' package seamlessly.
sf, Rcpp, cli, foreach, doParallel, magrittr, dplyr, rlang,
geos
Christopher T. Kenny [aut, cre],
Cory McCartan [aut],
Ben Fifield [aut],
Kosuke Imai [aut]