# intcensROC v0.1.1

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## Fast Spline Function Based Constrained Maximum Likelihood Estimator for AUC Estimation of Interval Censored Survival Data

The kernel of this 'Rcpp' based package is an efficient implementation of the generalized gradient projection method for spline function based constrained maximum likelihood estimator for interval censored survival data (Wu, Yuan; Zhang, Ying. Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data. Ann. Statist. 40, 2012, 1609-1636 <doi:10.1214/12-AOS1016>). The key function computes the density function of the joint distribution of event time and the marker and returns the receiver operating characteristic (ROC) curve for the interval censored survival data as well as area under the curve (AUC).

## Functions in intcensROC

 Name Description intcensROC Compute the ROC curves for Interval Censored Survival Data intcensAUC Compute the AUC for ROC curves for Interval Censored Survival Data intcensROC-package Fast Spline Function Based Constrained Maximum Likelihood Estimator for ROC Estimation of Interval Censored Survival Data No Results!