Dear,
I noticed that the contour lines of the critical Cook's distance function are not changing when the user supplies a new threshold value. The detected outliers in the object and the plot no longer match for different thresholds. The following reprex displays the issue. Can you explain me why that is? Thanks!
Kind regards
library(performance)
model <- lm(disp ~ mpg + hp, data = mtcars)
# default threshold
outliers <- check_outliers(model, method = "cook")
print(outliers)
#> 1 outlier detected: case 31.
#> - Based on the following method and threshold: cook (0.808).
#> - For variable: (Whole model).
plot(outliers)
# increasing the threshold gives no more outliers, but the plot remains the same
outliers2 <- check_outliers(model, method = "cook", threshold = list(cook = 2))
print(outliers2) # this gets adapted based on the new threshold
#> OK: No outliers detected.
#> - Based on the following method and threshold: cook (2).
#> - For variable: (Whole model)
plot(outliers2) # the contour lines stay the same
Created on 2026-06-22 with reprex v2.1.1
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Dear,
I noticed that the contour lines of the critical Cook's distance function are not changing when the user supplies a new threshold value. The detected outliers in the object and the plot no longer match for different thresholds. The following reprex displays the issue. Can you explain me why that is? Thanks!
Kind regards
Created on 2026-06-22 with reprex v2.1.1
Session info