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bcROCsurface (version 1.0-6)

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

Description

The bias-corrected estimation methods for the receiver operating characteristics ROC surface and the volume under ROC surfaces (VUS) under missing at random (MAR) assumption.

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install.packages('bcROCsurface')

Monthly Downloads

278

Version

1.0-6

License

GPL-3

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Maintainer

Khanh Duc

Last Published

September 9th, 2023

Functions in bcROCsurface (1.0-6)

ROCsurface

Receiver operating characteristics surface for a continuous diagnostic test
vus_mar

Estimation methods for volume under ROC surface (VUS) under MAR
asy_var_vus

Asymptotic variance estimation for VUS
EOC

A sub-data from Pre-PLCO Phase II Dataset
rho_knn

K nearest-neighbor (KNN) regression
print.vus_mar

Print summary results of VUS
rho_mlogit

Fitting disease models via multinomial logistic models
pre_data

Preparing monotone ordered disease classes
asy_cov_tcf

Asymptotic variance-covariance estimation for True Class Fractions (TCFs) at the cut point \((c_1, c_2)\)
psglm

Fitting verification models
cv_knn

Cross-validation for K nearest-neighbor regression
bcROCsurface-package

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