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CompClassMetrics  

Classification Measures when Subclasses are Involved
View on CRAN: Click here


Download and install CompClassMetrics package within the R console
Install from CRAN:
install.packages("CompClassMetrics")

Install from Github:
library("remotes")
install_github("cran/CompClassMetrics")

Install by package version:
library("remotes")
install_version("CompClassMetrics", "1.0.0")



Attach the package and use:
library("CompClassMetrics")
Maintained by
Nan Nan
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All associated links for this package
First Published: 2025-09-03
Latest Update: 2025-09-03
Description:
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> and Nan and Tian (2023) <doi:10.1002/sim.9908> and Feng and Tian (2020) <doi:10.1177/0962280220938077>.
How to cite:
Nan Nan (2025). CompClassMetrics: Classification Measures when Subclasses are Involved. R package version 1.0.0, https://cran.r-project.org/web/packages/CompClassMetrics. Accessed 12 Sep. 2026.
Previous versions and publish date:
0.1.0 (2025-09-03 23:00), 1.0.0 (2026-01-19 00:30), (2026-07-09 08:00)
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Complete documentation for CompClassMetrics
Functions, R codes and Examples using the CompClassMetrics R package
Full CompClassMetrics package functions and examples
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