bcROCsurface v1.0-4

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

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.

Functions in bcROCsurface

Name Description
bcROCsurface-package Bias-Corrected Methods for Estimating the ROC Surface of Continuous Diagnostic Tests
EOC A sub-data from Pre-PLCO Phase II Dataset
psglm Fitting verification models
CVknn Cross-validation for K nearest-neighbor regression
preDATA Preparing monotone ordered disease classes
rhoKNN K nearest-neighbor (KNN) regression
asyVarVUS Asymptotic variance estimation for VUS
print.vus Print summary results of VUS
asyCovTCF Asymptotic variance-covariance estimation for True Class Fractions (TCFs) at the cut point \((c_1, c_2)\)
ROCsurface Receiver operating characteristics surface for a continuous diagnostic test
rhoMLogit Fitting disease models via multinomial logistic models
vus Estimation methods for volume under ROC surface (VUS)
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Vignettes of bcROCsurface

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example.Rmd
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Details

Date 2020-02-14
License GPL (>= 2)
LinkingTo Rcpp, RcppArmadillo
LazyLoad yes
LazyData TRUE
ByteCompile yes
Encoding UTF-8
RoxygenNote 7.0.2
VignetteBuilder knitr
NeedsCompilation yes
Packaged 2020-02-14 09:39:00 UTC; Khanh
Repository CRAN
Date/Publication 2020-02-14 10:50:11 UTC

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