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) <doi:10.48550/arXiv.1908.04000>. Modern notions of outlyingness such as trust scores and prediction uncertainty can be used as the underlying scores for example.
Version: 0.1.2 Imports: data.table (≥ 1.14.6), future.apply (≥ 1.10.0), ggplot2 (≥ 3.4.0), scales (≥ 1.2.1), simctest (≥ 2.6), stats (≥ 4.2.1) Suggests: fdrtool (≥ 1.2.17), knitr (≥ 1.42), rmarkdown (≥ 2.20), testthat (≥ 3.1.6) Published: 2023-02-19 DOI: 10.32614/CRAN.package.dsos Author: Vathy M. Kamulete [aut, cre], Royal Bank of Canada (RBC) [cph] (Research supported and funded by RBC) Maintainer: Vathy M. Kamulete <vathymut at gmail.com> BugReports: https://github.com/vathymut/dsos/issues License: GPL (≥ 3) URL: https://github.com/vathymut/dsos NeedsCompilation: no Language: en-US Materials: NEWS CRAN checks: dsos results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=dsos to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4