Package: dsos 0.1.2

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.

Authors:Vathy M. Kamulete [aut, cre], Royal Bank of Canada [cph]

dsos_0.1.2.tar.gz
dsos_0.1.2.zip(r-4.5)dsos_0.1.2.zip(r-4.4)dsos_0.1.2.zip(r-4.3)
dsos_0.1.2.tgz(r-4.4-any)dsos_0.1.2.tgz(r-4.3-any)
dsos_0.1.2.tar.gz(r-4.5-noble)dsos_0.1.2.tar.gz(r-4.4-noble)
dsos_0.1.2.tgz(r-4.4-emscripten)dsos_0.1.2.tgz(r-4.3-emscripten)
dsos.pdf |dsos.html
dsos/json (API)
NEWS

# Install 'dsos' in R:
install.packages('dsos', repos = c('https://vathymut.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/vathymut/dsos/issues

On CRAN:

data-driftdata-validationdataset-shiftsdrift-detectionmachine-learningmlopsmodel-monitoringmodel-validationperformance-monitoringstatistical-process-controlstatistical-tests

5.08 score 2 stars 40 scripts 263 downloads 10 exports 37 dependencies

Last updated 2 years agofrom:53c8e7bb5e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winOKNov 10 2024
R-4.5-linuxOKNov 10 2024
R-4.4-winOKNov 10 2024
R-4.4-macOKNov 10 2024
R-4.3-winOKNov 10 2024
R-4.3-macOKNov 10 2024

Exports:as_bfas_pvalueat_from_osat_oobbf_comparebf_from_ospt_from_ospt_oobpt_refitwauc_from_os

Dependencies:clicodetoolscolorspacedata.tabledigestfansifarverfuturefuture.applyggplot2globalsgluegtableisobandlabelinglatticelifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmeparallellypillarpkgconfigR6RColorBrewerrlangscalessimctesttibbleutf8vctrsviridisLitewithr

A 10-minute Crash Course

Rendered frommotivation.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2023-02-19
Started: 2021-11-21

Acknowledgements

Rendered fromdependencies.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2023-02-19
Started: 2021-11-21

Bring Your Own Scores

Rendered fromdiy-score.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2023-02-19
Started: 2021-11-21