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
)
```

- 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

An instance of LISA-class

```
if (FALSE) {
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
}
```