R: Bias-Corrected Methods for Estimating the ROC Surface of Continuous Diagnostic Tests

# Bias-Corrected Methods for Estimating the ROC Surface of Continuous Diagnostic Tests

## Documentation for package ‘bcROCsurface’ version 1.0-6

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

bcROCsurface-package | Bias-Corrected Methods for Estimating the ROC Surface of Continuous Diagnostic Tests
asy_cov_tcf | Asymptotic variance-covariance estimation for True Class Fractions (TCFs) at the cut point (c_1, c_2)
asy_var_vus | Asymptotic variance estimation for VUS
bcROCsurface | Bias-Corrected Methods for Estimating the ROC Surface of Continuous Diagnostic Tests
cv_knn | Cross-validation for K nearest-neighbor regression
EOC | A sub-data from Pre-PLCO Phase II Dataset
pre_data | Preparing monotone ordered disease classes
print.vus_mar | Print summary results of VUS
psglm | Fitting verification models
rho_knn | K nearest-neighbor (KNN) regression
rho_mlogit | Fitting disease models via multinomial logistic models
rocs | Receiver operating characteristics surface for a continuous diagnostic test
rocs.tcf | Receiver operating characteristics surface for a continuous diagnostic test
ROCsurface | Receiver operating characteristics surface for a continuous diagnostic test
vus_mar | Estimation methods for volume under ROC surface (VUS) under MAR