Searches for optimal linear combination of multiple diagnostic tests (markers) that maximizes the area under the receiver operating characteristic curve (AUC); performs an approximated cross-validation for estimating the AUC associated with the estimated coefficients.
|Author||Xin Huang, Gengsheng Qin, Yixin Fang|
|Date of publication||2013-04-01 07:50:08|
|Maintainer||Xin Huang <email@example.com>|
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 n-sphere 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
optAUC-package: Optimal Combinations of Diagnostic Tests Based on AUC
theta2beta: Function to translate theta to beta, the n-sphere constrain