redist.uncoarsen

plans

Deprecated, use plans. A coarsened district membership matrix

district_membership

The index used to coarsen the shape.

group_index

After a cores analysis or other form of coarsening, sometimes you need
to be at the original geography level to be comparable. This takes in a
coarsened matrix and uncoarsens it to the original level

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

Cory McCartan

Ben Fifield

Kosuke Imai

Jun Kawahara

Alexander Tarr

Michael Higgins

redist.uncoarsen function

Uncoarsen a District Matrix — redist.uncoarsen

Uncoarsen a District Matrix

redist.uncoarsen: Uncoarsen a District Matrix

Description

Usage

Arguments

Value