# waic_compare()


Compare two WAIC results computed on the same observations.


Usage

``` python
waic_compare(
    result1,
    result2,
)
```


The standard error of the difference uses the pointwise ELPD values from both models, giving a paired comparison that accounts for correlation across observations.


## Parameters


`result1: WAICResult`  
WAIC results from two models fitted to the same data. Must have the same number of observations.

`result2: WAICResult`  
WAIC results from two models fitted to the same data. Must have the same number of observations.


## Returns


`WAICComparison`