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intcensROC (version 0.1.1)

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

Description

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 ). 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).

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Install

install.packages('intcensROC')

Monthly Downloads

84

Version

0.1.1

License

GPL (>= 2)

Maintainer

Jiaxing Lin

Last Published

May 2nd, 2018

Functions in intcensROC (0.1.1)

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