# InfluenceResult


Observation-level influence diagnostics.


Usage

``` python
InfluenceResult(
    hat_values,
    cooks_distance,
)
```


## Attributes


`hat_values: NDArray`  
Leverage (diagonal of the hat matrix), shape `(n,)`.

`cooks_distance: NDArray`  
Cook's distance for each observation, shape `(n,)`.