score_dw | R Documentation |

Score based on Durbin-Watson test statistic. The score value is helpful in comparing models. It is worth pointing out that results of tests like p-value makes sense only when the test assumptions are satisfied. Otherwise test statistic may be considered as a score.

```
score_dw(object, variable = NULL, data = NULL, y = NULL, ...)
scoreDW(object, variable = NULL)
```

`object` |
An object of class |

`variable` |
Name of model variable to order residuals. |

`data` |
New data that will be used to calculate the score.
Pass |

`y` |
New y parameter will be used to calculate score. |

`...` |
Other arguments dependent on the type of score. |

An object of class `auditor_score`

.

```
dragons <- DALEX::dragons[1:100, ]
# fit a model
model_lm <- lm(life_length ~ ., data = dragons)
lm_audit <- audit(model_lm, data = dragons, y = dragons$life_length)
# calculate score
score_dw(lm_audit)
```

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