Package: pROC 1.18.5
Xavier Robin
pROC: Display and Analyze ROC Curves
Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves.
Authors:
pROC_1.18.5.tar.gz
pROC_1.18.5.zip(r-4.5)pROC_1.18.5.zip(r-4.4)pROC_1.18.5.zip(r-4.3)
pROC_1.18.5.tgz(r-4.4-x86_64)pROC_1.18.5.tgz(r-4.4-arm64)pROC_1.18.5.tgz(r-4.3-x86_64)pROC_1.18.5.tgz(r-4.3-arm64)
pROC_1.18.5.tar.gz(r-4.5-noble)pROC_1.18.5.tar.gz(r-4.4-noble)
pROC_1.18.5.tgz(r-4.4-emscripten)pROC_1.18.5.tgz(r-4.3-emscripten)
pROC.pdf |pROC.html✨
pROC/json (API)
NEWS
| # Install 'pROC' in R: |
| install.packages('pROC', repos = c('https://xrobin.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/xrobin/proc/issues
- aSAH - Subarachnoid hemorrhage data
bootstrappingcovariancehypothesis-testingmachine-learningplotplottingrocroc-curvevariance
Last updated 11 months agofrom:f03d246523. Checks:OK: 7 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 27 2024 |
| R-4.5-win-x86_64 | NOTE | Aug 27 2024 |
| R-4.5-linux-x86_64 | NOTE | Aug 27 2024 |
| R-4.4-win-x86_64 | OK | Aug 27 2024 |
| R-4.4-mac-x86_64 | OK | Aug 27 2024 |
| R-4.4-mac-aarch64 | OK | Aug 27 2024 |
| R-4.3-win-x86_64 | OK | Aug 27 2024 |
| R-4.3-mac-x86_64 | OK | Aug 27 2024 |
| R-4.3-mac-aarch64 | OK | Aug 27 2024 |
Exports:are.pairedauccici.aucci.coordsci.seci.spci.thresholdscoordscovggrochas.partial.auclines.rocmulticlass.rocplot.rocpower.roc.testrocroc_roc.testsmoothvar
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| pROC | pROC-package pROC |
| Are two ROC curves paired? | are.paired are.paired.auc are.paired.roc are.paired.smooth.roc |
| Subarachnoid hemorrhage data | aSAH |
| Compute the area under the ROC curve | auc auc.default auc.formula auc.multiclass.roc auc.roc auc.smooth.roc |
| Compute the confidence interval of a ROC curve | ci ci.default ci.formula ci.multiclass.auc ci.multiclass.roc ci.roc ci.smooth.roc |
| Compute the confidence interval of the AUC | ci.auc ci.auc.auc ci.auc.default ci.auc.formula ci.auc.multiclass.auc ci.auc.multiclass.roc ci.auc.roc ci.auc.smooth.roc |
| Compute the confidence interval of arbitrary coordinates | ci.coords ci.coords.default ci.coords.formula ci.coords.roc ci.coords.smooth.roc |
| Compute the confidence interval of sensitivities at given specificities | ci.se ci.se.default ci.se.formula ci.se.roc ci.se.smooth.roc |
| Compute the confidence interval of specificities at given sensitivities | ci.sp ci.sp.default ci.sp.formula ci.sp.roc ci.sp.smooth.roc |
| Compute the confidence interval of thresholds | ci.thresholds ci.thresholds.default ci.thresholds.formula ci.thresholds.roc ci.thresholds.smooth.roc |
| Coordinates of a ROC curve | coords coords.roc coords.smooth.roc |
| Transposing the output of 'coords' | coords_transpose |
| Covariance of two paired ROC curves | cov cov.auc cov.default cov.roc cov.smooth.roc |
| Plot a ROC curve with ggplot2 | ggroc ggroc.list ggroc.roc ggroc.smooth.roc |
| pROC Group Generic Functions | groupGeneric groupGeneric.auc groupGeneric.ci.coords groupGeneric.ci.se groupGeneric.ci.sp groupGeneric.pROC Math Math.auc Math.ci Math.ci.auc Math.ci.coords Math.ci.se Math.ci.sp Ops Ops.auc Ops.ci Ops.ci.auc Ops.ci.coords Ops.ci.se Ops.ci.sp |
| Does the ROC curve have a partial AUC? | has.partial.auc has.partial.auc.auc has.partial.auc.roc has.partial.auc.smooth.roc |
| Add a ROC line to a ROC plot | lines.roc lines.roc.default lines.roc.formula lines.roc.roc lines.roc.smooth.roc lines.smooth.roc |
| Multi-class AUC | multiclass.roc multiclass.roc.default multiclass.roc.formula |
| Plot confidence intervals | plot.ci plot.ci.se plot.ci.sp plot.ci.thresholds |
| Plot a ROC curve | plot plot.roc plot.roc.default plot.roc.formula plot.roc.roc plot.roc.smooth.roc plot.smooth.roc |
| Sample size and power computation for ROC curves | power.roc.test power.roc.test.list power.roc.test.numeric power.roc.test.roc |
| Print a ROC curve object | print.auc print.ci.auc print.ci.coords print.ci.se print.ci.sp print.ci.thresholds print.multiclass.auc print.multiclass.roc print.mv.multiclass.roc print.roc print.smooth.roc |
| Build a ROC curve | roc roc.data.frame roc.default roc.formula roc_ |
| Compare two ROC curves | roc.test roc.test.auc roc.test.default roc.test.formula roc.test.roc roc.test.smooth.roc |
| Smooth a ROC curve | smooth smooth.default smooth.roc smooth.smooth.roc |
| Variance of a ROC curve | var var.auc var.default var.roc var.smooth.roc |