A method to calculate the overlap coefficient between two empirical distributions (that can be used as a measure of similarity between two samples).

## Usage

```
overlap(
x,
y,
method_density = "kernel",
method_auc = "trapezoid",
precision = 2^10,
extend = TRUE,
extend_scale = 0.1,
...
)
```

## Arguments

- x
Vector of x values.

- y
Vector of x values.

- method_density
Density estimation method. See

`estimate_density()`

.- method_auc
Area Under the Curve (AUC) estimation method. See

`area_under_curve()`

.- precision
Number of points of density data. See the

`n`

parameter in`density`

.- extend
Extend the range of the x axis by a factor of

`extend_scale`

.- extend_scale
Ratio of range by which to extend the x axis. A value of

`0.1`

means that the x axis will be extended by`1/10`

of the range of the data.- ...
Currently not used.

## Examples

```
library(bayestestR)
x <- distribution_normal(1000, 2, 0.5)
y <- distribution_normal(1000, 0, 1)
overlap(x, y)
#> # Overlap
#>
#> 18.6%
plot(overlap(x, y))
```