In rbc-research/dsos: Dataset Shift with Outlier Scores

The key components of dsos depend on several publicly available R packages, including:

• the data.table package [@data.table] for faster data.frame.
• the ranger package [@ranger] for random forest;
• the isotree package [@isotree] for isolation-based outlier detection;
• the ggplot2 package [@ggplot2] for visualizations;
• the WeightedROC package [@WeightedROC] for computing the test statistic;
• the simctest package [@simctest] for sequential Monte Carlo tests;

We are grateful to the authors of each of these packages for making their software freely available.

References

rbc-research/dsos documentation built on Dec. 22, 2021, 1:01 p.m.