redist.random.subgraph

sf object or SpatialPolygonsDataFrame

number of edges to sample. n must be a positive integer.

Optional. zero indexed adjacency list.

`random.subgraph` returns a random subset of the shp provided

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>.

Christopher T. Kenny

redist

Simulation Methods for Legislative Redistricting

redist.random.subgraph: Return a random subgraph of a shape

Description

Usage

Arguments

Value

Details