Add support for model based outlier detection
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- Dominant language
- R
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Description
The signature that I'm imagining for this function is:
outliers(model, data, level, ...)
Which returns a tibble containing the rows from data which are classified as outliers from model at a given level of confidence.
A default method is also defined which uses quantiles of residuals.
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Research direction
No files or tests are named. Start by reviewing the proposed outliers(model, data, level, ...) entry point and its default residual-quantile behavior; done means returning a tibble containing the rows classified as outliers at the requested confidence level.
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Assessment
- Tech stack
- r
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100