intcensROC (version 0.1.1)

intcensROC-package: Fast Spline Function Based Constrained Maximum Likelihood Estimator for ROC Estimation of Interval Censored Survival Data

Description

The kernel of this Rcpp based package is a efficient implementation of the generalized gradient projection method for spline function based constrained maximum likelihood estimator (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 is to compute density function of the joint distribution of event time and the marker. The core function returns the receiver operating characteristic (ROC) curve for the interval censored survival data as well as area under the curve (AUC).

Arguments

Details

Package: intcensROC
Type: Package
Version: 1.0
Date: 2017-01-05
License: GPL-3

Please refer to the individual function documentation or the included vignette for more information. The package vignette serves as a tutorial for using this package. The technical details are provided in the reference cited below.

References

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>