| intcensROC-package {intcensROC} | R Documentation |
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).
Details
| Package: | intcensROC |
| Type: | Package |
| Version: | 1.0.2 |
| Date: | 2020-11-11 |
| 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.
Author(s)
Jiaxing Lin, Yuan Wu, Xiaofei Wang, Kouros Owzar. Maintainer: Jiaxing Lin<jiaxing.lin@duke.edu>
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>