redist-package: redist: Simulation Methods for Legislative Redistricting
In redist: Simulation Methods for Legislative Redistricting
redist-package R Documentation
redist: Simulation Methods for Legislative Redistricting
Description
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 the SMC algorithm of McCartan and Imai (2023) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1214/23-AOAS1763")}, the enumeration algorithm of Fifield, Imai, Kawahara, and Kenny (2020) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/2330443X.2020.1791773")}, the Flip MCMC algorithm of Fifield, Higgins, Imai and Tarr (2020) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/10618600.2020.1739532")}, the Merge-split/Recombination algorithms of Carter et al. (2019) arXiv:1911.01503 and DeFord et al. (2021) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1162/99608f92.eb30390f")}, and the Short-burst optimization algorithm of Cannon et al. (2020) arXiv:2011.02288.
Author(s)
Maintainer: Christopher T. Kenny christopherkenny@fas.harvard.edu
Authors:
Cory McCartan corymccartan@nyu.edu
Ben Fifield benfifield@gmail.com
Kosuke Imai imai@harvard.edu
Other contributors:
Jun Kawahara jkawahara@i.kyoto-u.ac.jp [contributor]
Alexander Tarr atarr@princeton.edu [contributor]
Michael Higgins mikehiggins@k-state.edu [contributor]
See Also
Useful links:
redist documentation built on June 24, 2024, 9:10 a.m.
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| redist-package | R Documentation |
redist: Simulation Methods for Legislative Redistricting
Description
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 the SMC algorithm of McCartan and Imai (2023) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1214/23-AOAS1763")}, the enumeration algorithm of Fifield, Imai, Kawahara, and Kenny (2020) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/2330443X.2020.1791773")}, the Flip MCMC algorithm of Fifield, Higgins, Imai and Tarr (2020) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/10618600.2020.1739532")}, the Merge-split/Recombination algorithms of Carter et al. (2019) arXiv:1911.01503 and DeFord et al. (2021) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1162/99608f92.eb30390f")}, and the Short-burst optimization algorithm of Cannon et al. (2020) arXiv:2011.02288.
Author(s)
Maintainer: Christopher T. Kenny christopherkenny@fas.harvard.edu
Authors:
Cory McCartan corymccartan@nyu.edu
Ben Fifield benfifield@gmail.com
Kosuke Imai imai@harvard.edu
Other contributors:
Jun Kawahara jkawahara@i.kyoto-u.ac.jp [contributor]
Alexander Tarr atarr@princeton.edu [contributor]
Michael Higgins mikehiggins@k-state.edu [contributor]
See Also
Useful links:
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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