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.
Package details |
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Maintainer | |
License | GPL (>= 3) |
Version | 0.1.0 |
URL | https://github.com/rbc-research/dsos |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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