Local Moran with Empirical Bayes(EB) Rate — local_moran

The function to apply local Moran with EB Rate statistics. The EB rate is first computed from "event" and "base" variables, and then used in local moran statistics.

local_moran_eb(
  w,
  df,
  permutations = 999,
  permutation_method = "complete",
  significance_cutoff = 0.05,
  cpu_threads = 6,
  seed = 123456789
)

Arguments

w: An instance of Weight object
df: A data frame with two selected variable: one is "event", anothor is "base" variable. E.g. guerry[c("hr60", "po60")]
permutations: (optional) The number of permutations for the LISA computation
permutation_method: (optional) The permutation method used for the LISA computation. Options are 'complete', 'lookup'. Default is 'complete'.
significance_cutoff: (optional) A cutoff value for significance p-values to filter not-significant clusters
cpu_threads: (optional) The number of cpu threads used for parallel LISA computation
seed: (optional) The seed for random number generator

Value

An instance of LISA-class

Examples

if (FALSE) { # \dontrun{
library(sf)
nat <- st_read("natregimes.shp")
nat_w <- queen_weights(nat)
lisa <- local_moran_eb(queen_w, guerry[c("hr60", "po60")])
lms <- lisa_values(lisa)
lms
} # }