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dsos: Dataset Shift with Outlier Scores
Test for no adverse shift in two-sample comparison when we have a training set, the reference distribution, and a test set. The approach is flexible and relies on a robust and powerful test statistic, the weighted AUC. Technical details are in Kamulete, V. M. (2021) <arXiv:1908.04000>. Modern notions of outlyingness such as trust scores and prediction uncertainty can be used as the underlying scores for example.
Browse package contents
Package details |
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| Author | Vathy M. Kamulete [aut, cre] (<https://orcid.org/0000-0002-4451-3743>), Royal Bank of Canada (RBC) [cph] (Research supported and funded by RBC) |
| Maintainer | Vathy M. Kamulete <vathymut@gmail.com> |
| License | GPL (>= 3) |
| Version | 0.1.2 |
| URL | https://github.com/vathymut/dsos |
| Package repository | View on CRAN |
| Installation |
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