Global C Permutation Test

## Arguments

- x
A numeric vector.

- nb
a neighbor list object for example as created by

`st_contiguity()`

.- wt
a weights list as created by

`st_weights()`

.- nsim
number of simulations to run.

- alternative
default

`"two.sided"`

. Should be one of`"greater"`

,`"less"`

, or`"two.sided"`

to specify the alternative hypothesis.- allow_zero
If

`TRUE`

, assigns zero as lagged value to zone without neighbors.- ...
additional arguments passed to

`spdep::geary.mc()`

.

## See also

Other global_c:
`global_c_test()`

,
`global_c()`

## Examples

```
geo <- sf::st_geometry(guerry)
nb <- st_contiguity(geo)
wt <- st_weights(nb)
x <- guerry$crime_pers
global_c_perm(x, nb, wt)
#>
#> Monte-Carlo simulation of Geary C
#>
#> data: x
#> weights: listw
#> number of simulations + 1: 500
#>
#> statistic = 0.56459, observed rank = 1, p-value = 0.002
#> alternative hypothesis: greater
#>
```