Searches for optimal linear combination of multiple diagnostic tests (markers) that maximizes the area under the receiver operating characteristic curve (AUC); performs an approximated crossvalidation for estimating the AUC associated with the estimated coefficients.
Author  Xin Huang, Gengsheng Qin, Yixin Fang 
Date of publication  20130401 07:50:08 
Maintainer  Xin Huang <xhuang.fhcrc@gmail.com> 
License  GPL2 
Version  1.0 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:



All man pages Function index File listing
Man pages  

AUC: Function for AUC with sigmoid estimate  
AUC.emp: Function for AUC when input is X and Y  
beta2theta: Function to translate beta into theta, the nsphere constrain  
betahat: Function for estimating beta using kernal function  
gradAUC.Lang: Function for gradient of AUC after applying Lagrange...  
gradsqr: The function of grad_square in the GCV  
hessAUC: function for hessian matrix of AUC  
nlsolve: solve nonlinear function  
optAUC: Optimal Combinations of Diagnostic Tests Based on AUC  
optAUCpackage: Optimal Combinations of Diagnostic Tests Based on AUC  
theta2beta: Function to translate theta to beta, the nsphere constrain 
Functions  

AUC  Man page Source code 
AUC.emp  Man page Source code 
beta2theta  Man page Source code 
betahat  Man page Source code 
gradAUC.Lang  Man page Source code 
gradsqr  Man page Source code 
hessAUC  Man page Source code 
nlsolve  Man page Source code 
optAUC  Man page Source code 
optAUCpackage  Man page 
theta2beta  Man page Source code 
Files  

MD5
 
R
 
R/optimalAUC_functions.R  
NAMESPACE
 
man
 
man/theta2beta.Rd  
man/optAUC.Rd  
man/optAUCpackage.Rd  
man/nlsolve.Rd  
man/hessAUC.Rd  
man/gradsqr.Rd  
man/gradAUC.Lang.Rd  
man/betahat.Rd  
man/beta2theta.Rd  
man/AUC.Rd  
man/AUC.emp.Rd  
DESCRIPTION

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