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:Pedro Mateus [aut, cre]

ROCaggregator_1.0.1.tar.gz
ROCaggregator_1.0.1.tar.gz(r-4.5-noble)ROCaggregator_1.0.1.tar.gz(r-4.4-noble)
ROCaggregator_1.0.1.tgz(r-4.4-emscripten)ROCaggregator_1.0.1.tgz(r-4.3-emscripten)
ROCaggregator.pdf |ROCaggregator.html✨
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

2.70 score 5 scripts 161 downloads 4 exports 1 dependencies

Last updated 3 years agofrom:dbba3d5f06. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Dec 04 2024
R-4.5-linux	OK	Dec 04 2024

Exports:partial_cm precision_recall_curve roc_curve shift_vector

Dependencies:magrittr

ROCaggregator use case

Pedro Mateus

Rendered fromroc-aggregator.Rmdusingknitr::rmarkdownon Dec 04 2024.

Last update: 2021-08-10
Started: 2021-08-10

Citation

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