Nothing
CompClassMetrics: Classification Measures when Subclasses are Involved
Accuracy metrics are commonly used to assess the discriminating ability of diagnostic tests or biomarkers. Among them, metrics based on the ROC framework are particularly popular. When classification involves subclasses, the package 'CompClassMetrics' includes functions that can provide the point estimate, confidence interval as well as true values if a parametric setting is known. For more details see Nan and Tian (2025) <doi:10.1177/09622802251343600>, Nan and Tian (2023) <doi:10.1002/sim.9908>, Feng and Tian (2020) <doi:10.1177/0962280220938077> and Wang et al (2016) <doi:10.1002/sim.6843>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Nan Nan [aut, cre] |
| Maintainer | Nan Nan <nannan@buffalo.edu> |
| License | MIT + file LICENSE |
| Version | 1.0.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the CompClassMetrics package in your browser
Any scripts or data that you put into this service are public.
