R: ROC Analysis in Three-Class Classification Problems for Clustered Data

# ROC Analysis in Three-Class Classification Problems for Clustered Data

## Documentation for package ‘ClusROC’ version 1.0.2

- DESCRIPTION file.

## Help Pages

ClusROC-package | ROC Analysis in Three-Class Classification Problems for Clustered Data
ci_clus_vus | Confidence Intervals for Covariate-specific VUS
ClusROC | ROC Analysis in Three-Class Classification Problems for Clustered Data
clus_lme | Linear Mixed-Effects Models for a continuous diagnostic test or a biomarker (or a classifier).
clus_opt_thres3 | Estimation of the covariate-specific optimal pair of thresholds for clustered data.
clus_roc_surface | Plot an estimated covariate-specific ROC surface for clustered data.
clus_tcfs | Estimation of the covariate-specific TCFs for clustered data.
clus_vus | Estimation of the covariate-specific VUS for clustered data.
data_3class | A simulated data
data_3class_bcx | A simulated data
EnergyEthiopia | A subset of energy choice data in 4 cities of Ethiopia
MouseNeurons | A subset of mouse brain cells data
plot.clus_lme | Plot an clus_lme object.
plot.clus_opt_thres3 | Plot of confidence regions for covariate-specific optimal pair of thresholds.
print.ci_clus_vus | Print summary results from ci_clus_vus
print.clus_lme | Print summary results of an clus_lme object
print.clus_opt_thres3 | Print summary results from 'clus_opt_thres3'
print.clus_tcfs | Print summary results from clus_tcfs
print.clus_vus | Print summary results from clus_vus