PRROC: Precision-Recall and ROC Curves for Weighted and Unweighted Data

Canonical link: https://rscholar.com/pkg/PRROC

Jan Grau • Jens Keilwagen • View description and downloads View dependencies GitHub project

2014 Published

0 Citations

2 Authors

4 Revisions

1.4 Version

GPL-3 License

Referenced by ⇅	Year
GroupBN: Inferring Group Bayesian Networks using Hierarchical Feature Clustering (Version 1.2.0)	2020
ICBioMark: Data-Driven Design of Targeted Gene Panels for Estimating Immunotherapy Biomarkers (Version 0.1.4)	2021
PheVis: Automatic Phenotyping of Electronic Health Record at Visit Resolution (Version 1.0.4)	2021
priorityelasticnet: Comprehensive Analysis of Multi-Omics Data Using an Offset-Based Method (Version 0.2.0)	2025
BioMoR Ensemble: (Version )	0
E2E Modeling: (Version )	0
GroupBN Clustering: (Version )	0
MSiP: 'MassSpectrometry' Interaction Prediction (Version 1.3.7)	2021
PEAXAI Intelligence: (Version )	0
PatientLevelPrediction: Develop Clinical Prediction Models Using the Common Data Model (Version 6.5.1)	2025
PheVis Resolution: (Version )	0
TSLA: Tree-Guided Rare Feature Selection and Logic Aggregation (Version 0.1.2)	2025
WeightedROC: Fast, Weighted ROC Curves (Version 2020.1.31)	2017
autoFlagR: AI-Driven Anomaly Detection for Data Quality (Version 1.0.0)	2026
biospear: Biomarker Selection in Penalized Regression Models (Version 1.0.2)	2017
dagHMM: Directed Acyclic Graph HMM with TAN Structured Emissions (Version 0.1.1)	2023
immunaut: Machine Learning Immunogenicity and Vaccine Response Analysis (Version 1.0.2)	2024
mlr3measures: Performance Measures for 'mlr3' (Version 1.2.0)	2019
prcbench: Testing Workbench for Precision-Recall Curves (Version 1.1.10)	2016
priorityelasticnet Method: (Version )	0
simtrait: Simulate Complex Traits from Genotypes (Version 1.1.3)	2021
usefun: A Collection of Useful Functions by John (Version 0.5.2)	2019

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