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 231 downloads 4 exports 1 dependencies

Last updated 4 years agofrom:dbba3d5f06. Checks:2 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Feb 02 2025
R-4.5-linux	OK	Feb 02 2025

Exports:partial_cm precision_recall_curve roc_curve shift_vector

Dependencies:magrittr

ROCaggregator use case

Pedro Mateus

Rendered fromroc-aggregator.Rmdusingknitr::rmarkdownon Feb 02 2025.

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