score_dw {auditor} | 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)