Package: influenceAUC 0.1.3
influenceAUC: 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 overall AUC. Alternative graphical tools, cumulative lift charts, are proposed to reveal the existences and approximate locations of those influential observations through data visualization.
Authors:
influenceAUC_0.1.3.tar.gz
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influenceAUC_0.1.3.tar.gz(r-4.5-noble)influenceAUC_0.1.3.tar.gz(r-4.4-noble)
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influenceAUC.pdf |influenceAUC.html✨
influenceAUC/json (API)
| # Install 'influenceAUC' in R: |
| install.packages('influenceAUC', repos = c('https://boshiangke.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/boshiangke/influenceauc/issues
Pkgdown site:https://boshiangke.github.io
Last updated 5 months agofrom:0cb5e60121. Checks:1 OK, 8 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Apr 02 2025 |
| R-4.5-win | NOTE | Apr 02 2025 |
| R-4.5-mac | NOTE | Apr 02 2025 |
| R-4.5-linux | NOTE | Apr 02 2025 |
| R-4.4-win | NOTE | Apr 02 2025 |
| R-4.4-mac | NOTE | Apr 02 2025 |
| R-4.4-linux | NOTE | Apr 02 2025 |
| R-4.3-win | NOTE | Apr 02 2025 |
| R-4.3-mac | NOTE | Apr 02 2025 |
Dependencies:bitopscaToolsclicolorspacedplyrfansifarvergeigengenericsggplot2ggrepelgluegplotsgtablegtoolsisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcpprlangROCRscalestibbletidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Influence Functions On AUC | IAUC |
| Cumulative Lift Charts | ICLC |
| Local Influence Approaches On AUC | LAUC |
| Determine Identified Influential Cases | pinpoint |
| Visualize IAUC result | plot.IAUC |
| Visualize ICLC results | plot.ICLC |
| Visualize LAUC results | plot.LAUC |
| Show IAUC results | print.IAUC |
| Show LAUC results | print.LAUC |
