influenceAUC

cranv0.1.2

Identify Influential Observations in Binary Classification. Ke, B. S., Chiang, A. J., & Chang, Y. C. I. (2018) <doi:10.1080/10543406.2017.1377728> provide two theoretical methods (influence function and local influence) based on the area under the receiver operating characteristic curve (AUC) to quantify the numerical impact of each observation to the overal

License GPL-3strong copyleft0 versions1 maintainers6 deps66 weekly dl
https://CRAN.R-project.org/package=influenceAUC
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First published · 2020-05-30 05:38:34

Last updated · 2020-05-30T03:30:02+00:00