Introduction | Set-up | Aggregating the ROC from each node | Validation | Visualization | Appendix | Using pROC library
Package: ROCaggregator 1.0.1
Pedro Mateus
ROCaggregator: Aggregate Multiple ROC Curves into One Global ROC
Aggregates multiple Receiver Operating Characteristic (ROC) curves obtained from different sources into one global ROC. Additionally, it’s also possible to calculate the aggregated precision-recall (PR) curve.
Authors:
ROCaggregator_1.0.1.tar.gz
ROCaggregator_1.0.1.tar.gz(r-4.7-any)ROCaggregator_1.0.1.tar.gz(r-4.6-any)
ROCaggregator_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ROCaggregator/json (API)
| # Install 'ROCaggregator' in R: |
| install.packages('ROCaggregator', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://gitlab.com/um-cds/general-tools
Last updated from:dbba3d5f06. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 133 | ||
| source / vignettes | OK | 206 | ||
| linux-release-x86_64 | OK | 122 | ||
| wasm-release | OK | 112 |
Exports:partial_cmprecision_recall_curveroc_curveshift_vector
Dependencies:magrittr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute the global confusion matrix from the FPR and TPR obtained from each node | partial_cm |
| Compute the precision recall curve | precision_recall_curve |
| Compute Receiver operating characteristic (ROC) | roc_curve |
| Shift a vector left or right according to the value provided | shift_vector |