CRAN/E | ClusROC

ClusROC

ROC Analysis in Three-Class Classification Problems for Clustered Data

Installation

About

Statistical methods for ROC surface analysis in three-class classification problems for clustered data and in presence of covariates. In particular, the package allows to obtain covariate-specific point and interval estimation for: (i) true class fractions (TCFs) at fixed pairs of thresholds; (ii) the ROC surface; (iii) the volume under ROC surface (VUS); (iv) the optimal pairs of thresholds. Methods considered in points (i), (ii) and (iv) are proposed and discussed in To et al. (2022) doi:10.1177/09622802221089029. Referring to point (iv), three different selection criteria are implemented: Generalized Youden Index (GYI), Closest to Perfection (CtP) and Maximum Volume (MV). Methods considered in point (iii) are proposed and discussed in Xiong et al. (2018) doi:10.1177/0962280217742539. Visualization tools are also provided. We refer readers to the articles cited above for all details.

github.com/toduckhanh/ClusROC
Bug report File report

Key Metrics

Version 1.0.2
R ≥ 3.5.0
Published 2022-11-17 515 days ago
Needs compilation? yes
License GPL-3
CRAN checks ClusROC results

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Maintainer

Maintainer

Duc-Khanh To

toduc@stat.unipd.it

Authors

Duc-Khanh To

aut / cre

(<https://orcid.org/0000-0002-4641-0764>)

Gianfranco Adimari
Monica Chiogna

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ClusROC archive

Depends

R ≥ 3.5.0
stats
utils
graphics
nlme
Rcpp ≥ 0.12.3

Imports

rgl
ellipse
numDeriv
ggplot2
ggpubr
foreach
iterators
parallel
doParallel

Suggests

testthat ≥ 3.0.0

LinkingTo

Rcpp
RcppArmadillo