Combine files generated by redist.flip.anneal()

redist.combine.anneal(file_name)

## Arguments

file_name

The file name to search for in current working directory.

## Value

redist.combine.anneal returns an object of class "redist". The object redist is a list that contains the following components (the inclusion of some components is dependent on whether tempering techniques are used):

plans

Matrix of congressional district assignments generated by the algorithm. Each row corresponds to a geographic unit, and each column corresponds to a simulation.

distance_parity

Vector containing the maximum distance from parity for a particular simulated redistricting plan.

mhdecisions

A vector specifying whether a proposed redistricting plan was accepted (1) or rejected (0) in a given iteration.

mhprob

A vector containing the Metropolis-Hastings acceptance probability for each iteration of the algorithm.

pparam

A vector containing the draw of the p parameter for each simulation, which dictates the number of swaps attempted.

constraint_pop

A vector containing the value of the population constraint for each accepted redistricting plan.

constraint_compact

A vector containing the value of the compactness constraint for each accepted redistricting plan.

constraint_segregation

A vector containing the value of the segregation constraint for each accepted redistricting plan.

constraint_vra

A vector containing the value of the vra constraint for each accepted redistricting plan.

constraint_similar

A vector containing the value of the similarity constraint for each accepted redistricting plan.

constraint_partisan

A vector containing the value of the partisan constraint for each accepted redistricting plan.

constraint_minority

A vector containing the value of the minority constraint for each accepted redistricting plan.

constraint_hinge

A vector containing the value of the hinge constraint for each accepted redistricting plan.

constraint_qps

A vector containing the value of the QPS constraint for each accepted redistricting plan.

beta_sequence

A vector containing the value of beta for each iteration of the algorithm. Returned when tempering is being used.

mhdecisions_beta

A vector specifying whether a proposed beta value was accepted (1) or rejected (0) in a given iteration of the algorithm. Returned when tempering is being used.

mhprob_beta

A vector containing the Metropolis-Hastings acceptance probability for each iteration of the algorithm. Returned when tempering is being used.