Runs the enumpart algorithm

redist.run.enumpart(
  ordered_path,
  out_path,
  ndists = 2,
  all = TRUE,
  n = NULL,
  weight_path = NULL,
  lower = NULL,
  upper = NULL,
  options = NULL
)

Arguments

ordered_path: Path used in redist.prep.enumpart (not including ".dat")
out_path: Valid path to output the enumerated districts
ndists: number of districts to enumerate
all: boolean. TRUE outputs all districts. FALSE samples n districts.
n: integer. Number of districts to output if all is FALSE. Returns districts selected from uniform random distribution.
weight_path: A path (not including ".dat") to a space-delimited file containing a vector of vertex weights, to be used along with lower and upper.
lower: A lower bound on each partition's total weight, implemented by rejection sampling.
upper: An upper bound on each partition's total weight.
options: Additional enumpart arguments. Not recommended for use.

Value

0 on success

References

Benjamin Fifield, Kosuke Imai, Jun Kawahara, and Christopher T Kenny. "The Essential Role of Empirical Validation in Legislative Redistricting Simulation." Forthcoming, Statistics and Public Policy.

Examples

if (FALSE) {
temp <- tempdir()
redist.run.enumpart(ordered_path = paste0(temp, "/ordered"),
    out_path = paste0(temp, "/enumerated"))
}